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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a40f78c9b724dee2dad6697353d5d6fda2e51928
| 10,048
|
py
|
Python
|
check_gradients.py
|
garg-saurav/numpy-neural-net
|
2590be0a042aeffc4634af81a52c51539b193082
|
[
"MIT"
] | null | null | null |
check_gradients.py
|
garg-saurav/numpy-neural-net
|
2590be0a042aeffc4634af81a52c51539b193082
|
[
"MIT"
] | null | null | null |
check_gradients.py
|
garg-saurav/numpy-neural-net
|
2590be0a042aeffc4634af81a52c51539b193082
|
[
"MIT"
] | null | null | null |
import numpy as np
import nn
import sys
from util import *
from layers import *
np.random.seed(42)
def check_fully_connected():
XTrain = np.random.randn(10, 100)
YTrain = np.random.randn(10, 2)
nn1 = nn.NeuralNetwork(10, 1)
nn1.addLayer(FullyConnectedLayer(100, 10, 'relu'))
nn1.addLayer(FullyConnectedLayer(10,2,'softmax'))
delta = 1e-7
size1 = nn1.layers[0].weights.shape
size2 = nn1.layers[1].weights.shape
size3 = nn1.layers[0].biases.shape
size4 = nn1.layers[1].biases.shape
num_grad1 = np.zeros(size1)
num_grad2 = np.zeros(size2)
num_grad3 = np.zeros(size3)
num_grad4 = np.zeros(size4)
for i in range(size1[0]):
for j in range(size1[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[0].weights[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad1[i, j] = num_grad_ij
nn1.layers[0].weights[i, j] -= delta
for i in range(size2[0]):
for j in range(size2[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[1].weights[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad2[i, j] = num_grad_ij
nn1.layers[1].weights[i, j] -= delta
for i in range(size3[0]):
for j in range(size3[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[0].biases[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad3[i, j] = num_grad_ij
nn1.layers[0].biases[i, j] -= delta
for i in range(size4[0]):
for j in range(size4[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[1].biases[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad4[i, j] = num_grad_ij
nn1.layers[1].biases[i, j] -= delta
saved1 = nn1.layers[0].weights[:, :].copy()
saved2 = nn1.layers[1].weights[:, :].copy()
saved3 = nn1.layers[0].biases[:, :].copy()
saved4 = nn1.layers[1].biases[:, :].copy()
activations = nn1.feedforward(XTrain)
nn1.backpropagate(activations, YTrain)
new1 = nn1.layers[0].weights[:, :]
new2 = nn1.layers[1].weights[:, :]
new3 = nn1.layers[0].biases[:, :]
new4 = nn1.layers[1].biases[:, :]
ana_grad1 = saved1 - new1
ana_grad2 = saved2 - new2
ana_grad3 = saved3 - new3
ana_grad4 = saved4 - new4
print(np.linalg.norm(num_grad1 - ana_grad1))
print(np.linalg.norm(num_grad2 - ana_grad2))
print(np.linalg.norm(num_grad3 - ana_grad3))
print(np.linalg.norm(num_grad4 - ana_grad4))
print("Gradient Test Passed for Fully Connected Layer!")
def check_ALL_layers():
XTrain = np.random.randn(10, 3, 32, 32)
YTrain = np.random.randn(10, 10)
nn1 = nn.NeuralNetwork(10, 1)
nn1.addLayer(ConvolutionLayer([3, 32, 32], [3, 3], 4, 1, 'relu'))
nn1.addLayer(AvgPoolingLayer([4, 30, 30], [2, 2], 2))
nn1.addLayer(ConvolutionLayer([4, 15, 15], [4, 4], 4, 1, 'relu'))
nn1.addLayer(MaxPoolingLayer([4, 12, 12], [2, 2], 2))
nn1.addLayer(FlattenLayer())
nn1.addLayer(FullyConnectedLayer(144, 10, 'softmax'))
delta = 1e-7
size1 = nn1.layers[0].weights.shape
size2 = nn1.layers[2].weights.shape
size3 = nn1.layers[0].biases.shape
size4 = nn1.layers[2].biases.shape
size5 = nn1.layers[5].weights.shape
size6 = nn1.layers[5].biases.shape
num_grad1 = np.zeros(size1)
num_grad2 = np.zeros(size2)
num_grad3 = np.zeros(size3)
num_grad4 = np.zeros(size4)
num_grad5 = np.zeros(size5)
num_grad6 = np.zeros(size6)
for a in range(size1[0]):
for b in range(size1[1]):
for i in range(size1[2]):
for j in range(size1[3]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[0].weights[a, b, i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad1[a, b, i, j] = num_grad_ij
nn1.layers[0].weights[a, b, i, j] -= delta
for a in range(size2[0]):
for b in range(size2[1]):
for i in range(size2[2]):
for j in range(size2[3]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[2].weights[a, b, i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad2[a, b, i, j] = num_grad_ij
nn1.layers[2].weights[a, b, i, j] -= delta
for a in range(size3[0]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[0].biases[a] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad3[a] = num_grad_ij
nn1.layers[0].biases[a] -= delta
for a in range(size4[0]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[2].biases[a] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad4[a] = num_grad_ij
nn1.layers[2].biases[a] -= delta
for i in range(size5[0]):
for j in range(size5[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[5].weights[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad5[i, j] = num_grad_ij
nn1.layers[5].weights[i, j] -= delta
for i in range(size6[0]):
for j in range(size6[1]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[5].biases[i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad6[i, j] = num_grad_ij
nn1.layers[5].biases[i, j] -= delta
saved1 = nn1.layers[0].weights[:, :, :, :].copy()
saved2 = nn1.layers[2].weights[:, :, :, :].copy()
saved3 = nn1.layers[0].biases[:].copy()
saved4 = nn1.layers[2].biases[:].copy()
saved5 = nn1.layers[5].weights[:, :].copy()
saved6 = nn1.layers[5].biases[:, :].copy()
activations = nn1.feedforward(XTrain)
nn1.backpropagate(activations, YTrain)
new1 = nn1.layers[0].weights[:, :, :, :]
new2 = nn1.layers[2].weights[:, :, :, :]
new3 = nn1.layers[0].biases[:]
new4 = nn1.layers[2].biases[:]
new5 = nn1.layers[5].weights[:,:]
new6 = nn1.layers[5].biases[:,:]
ana_grad1 = saved1 - new1
ana_grad2 = saved2 - new2
ana_grad3 = saved3 - new3
ana_grad4 = saved4 - new4
ana_grad5 = saved5 - new5
ana_grad6 = saved6 - new6
print(np.linalg.norm(num_grad1 - ana_grad1))
print(np.linalg.norm(num_grad2 - ana_grad2))
print(np.linalg.norm(num_grad3 - ana_grad3))
print(np.linalg.norm(num_grad4 - ana_grad4))
print(np.linalg.norm(num_grad5 - ana_grad5))
print(np.linalg.norm(num_grad6 - ana_grad6))
print("Gradient Test Passed for ALL layers!")
def check_all_layers():
XTrain = np.random.randn(10, 3, 32, 32)
YTrain = np.random.randn(10, 10)
nn1 = nn.NeuralNetwork(10, 1)
nn1.addLayer(ConvolutionLayer([3, 32, 32], [3, 3], 4, 1, 'relu'))
nn1.addLayer(AvgPoolingLayer([4, 30, 30], [2, 2], 2))
nn1.addLayer(ConvolutionLayer([4, 15, 15], [4, 4], 4, 1, 'relu'))
nn1.addLayer(MaxPoolingLayer([4, 12, 12], [2, 2], 2))
nn1.addLayer(FlattenLayer())
nn1.addLayer(FullyConnectedLayer(144, 10, 'softmax'))
delta = 1e-7
size = nn1.layers[2].weights.shape
num_grad = np.zeros(size)
for a in range(size[0]):
for b in range(size[1]):
for i in range(size[2]):
for j in range(size[3]):
activations = nn1.feedforward(XTrain)
loss1 = nn1.computeLoss(YTrain, activations)
nn1.layers[2].weights[a, b, i, j] += delta
activations = nn1.feedforward(XTrain)
loss2 = nn1.computeLoss(YTrain, activations)
num_grad_ij = (loss2 - loss1) / delta
num_grad[a, b, i, j] = num_grad_ij
nn1.layers[2].weights[a, b, i, j] -= delta
saved = nn1.layers[2].weights[:, :, :, :].copy()
activations = nn1.feedforward(XTrain)
nn1.backpropagate(activations, YTrain)
new = nn1.layers[2].weights[:, :, :, :]
ana_grad = saved - new
print(np.linalg.norm(num_grad - ana_grad))
assert np.linalg.norm(num_grad - ana_grad) < 1e-5
print("Gradient Test Passed for All layers!")
# check_fully_connected()
# check_conv_layer()
# check_all_layers()
check_ALL_layers()
| 37.916981
| 69
| 0.585291
| 1,309
| 10,048
| 4.404889
| 0.07945
| 0.085848
| 0.108394
| 0.134409
| 0.882414
| 0.810614
| 0.80385
| 0.768644
| 0.73864
| 0.704128
| 0
| 0.070382
| 0.273189
| 10,048
| 265
| 70
| 37.916981
| 0.719157
| 0.006071
| 0
| 0.50885
| 0
| 0
| 0.016026
| 0
| 0
| 0
| 0
| 0
| 0.004425
| 1
| 0.013274
| false
| 0.013274
| 0.022124
| 0
| 0.035398
| 0.061947
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
a47eb3b295280eaa2e5efac0f5493f5c09ac75c2
| 48
|
py
|
Python
|
tests/files/package_dependency/b.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | 1
|
2016-05-08T13:21:04.000Z
|
2016-05-08T13:21:04.000Z
|
tests/files/package_dependency/b.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | null | null | null |
tests/files/package_dependency/b.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | null | null | null |
from package_dependency.a import STRING, NUMBER
| 24
| 47
| 0.854167
| 7
| 48
| 5.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104167
| 48
| 1
| 48
| 48
| 0.930233
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
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| 1
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| true
| 0
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| 1
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| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
f10af6e0553b44c9e98e2de6f4f75354af763d42
| 84
|
py
|
Python
|
hubitatmaker/__init__.py
|
spectre3ooo/hubitatmaker
|
0fd48022dfd7e4da294944fb37c4c7232ee3dade
|
[
"MIT"
] | null | null | null |
hubitatmaker/__init__.py
|
spectre3ooo/hubitatmaker
|
0fd48022dfd7e4da294944fb37c4c7232ee3dade
|
[
"MIT"
] | null | null | null |
hubitatmaker/__init__.py
|
spectre3ooo/hubitatmaker
|
0fd48022dfd7e4da294944fb37c4c7232ee3dade
|
[
"MIT"
] | null | null | null |
from .hub import Hub
from .const import *
from .error import *
from .types import *
| 16.8
| 20
| 0.72619
| 13
| 84
| 4.692308
| 0.461538
| 0.327869
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 84
| 4
| 21
| 21
| 0.897059
| 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
|
f1151a23a72e8dd374bba8b26f7d4ddb2094ffb4
| 90
|
py
|
Python
|
service_catalog/forms/__init__.py
|
Sispheor/squest
|
f852fe7986521a9d8cd9fb5eb0b56aa15f22548c
|
[
"Apache-2.0"
] | 112
|
2021-04-21T08:52:55.000Z
|
2022-03-01T15:09:19.000Z
|
service_catalog/forms/__init__.py
|
Sispheor/squest
|
f852fe7986521a9d8cd9fb5eb0b56aa15f22548c
|
[
"Apache-2.0"
] | 216
|
2021-04-21T09:06:47.000Z
|
2022-03-30T14:21:28.000Z
|
service_catalog/forms/__init__.py
|
Sispheor/squest
|
f852fe7986521a9d8cd9fb5eb0b56aa15f22548c
|
[
"Apache-2.0"
] | 21
|
2021-04-20T13:53:54.000Z
|
2022-03-30T21:43:04.000Z
|
from .admin_forms import *
from .customer_forms import *
from .announcement_form import *
| 22.5
| 32
| 0.8
| 12
| 90
| 5.75
| 0.583333
| 0.318841
| 0.434783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.133333
| 90
| 3
| 33
| 30
| 0.884615
| 0
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
f11eaaa9782372bec05ae636332ae11faeab4912
| 5,236
|
py
|
Python
|
tests/test_bucketlists_resource.py
|
brayoh/bucket-list-api
|
5968dc4e9a8ac85ba9bc1ac40a49920d39a6ef97
|
[
"MIT"
] | null | null | null |
tests/test_bucketlists_resource.py
|
brayoh/bucket-list-api
|
5968dc4e9a8ac85ba9bc1ac40a49920d39a6ef97
|
[
"MIT"
] | 11
|
2017-07-14T08:41:19.000Z
|
2019-08-21T18:04:28.000Z
|
tests/test_bucketlists_resource.py
|
brayoh/bucket-list-api
|
5968dc4e9a8ac85ba9bc1ac40a49920d39a6ef97
|
[
"MIT"
] | null | null | null |
import json
from tests.base import Base
class TestBucketlistsResource(Base):
""" This class contains tests for BucketListsResource
"""
def test_creates_bucketlist(self):
response = self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "dare devil 2",
"description": "testing"
}),
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(payload["message"],
"Bucketlist created successfully")
self.assertEquals(response.status_code, 201)
def test_duplicate_bucketlist(self):
response = self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "dare devil",
"description": "testing"
}),
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(payload["message"],
"Bucketlist with a similar name exists")
self.assertEquals(response.status_code, 409)
def test_gets_all_bucketlists(self):
response = self.client.get("/api/v1/bucketlists",
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(len(payload["bucketlists"]), 1)
self.assertEquals(response.status_code, 200)
def test_get_method_is_protected(self):
# make a request with no token set
response = self.client.get("/api/v1/bucketlists")
payload = json.loads(response.data.decode())
self.assertEquals(payload["message"],
"Please login to access your bucketlists")
self.assertEquals(response.status_code, 401)
def test_post_method_is_protected(self):
# make a request with no token set
response = self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "dare devil 3",
"description": "testing"
}),
content_type="application/json")
payload = json.loads(response.data.decode())
self.assertEquals(payload["message"],
"Please login to access your bucketlists")
self.assertEquals(response.status_code, 401)
def test_search_bucketlist(self):
response = self.client.get("/api/v1/bucketlists?q=dare",
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(payload["bucketlists"][0]["name"],
"dare devil")
self.assertEquals(response.status_code, 200)
def test_pagination_has_next(self):
self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "testing one",
"description": "testing 1"
}),
headers=self.set_headers())
self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "another one",
"description": "another"
}),
headers=self.set_headers())
response = self.client.get("/api/v1/bucketlists?limit=2&page=1",
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(payload["meta"]["next_page"],
"http://localhost/api/v1/bucketlists?limit=2&page=2")
self.assertEquals(len(payload["bucketlists"]), 2)
self.assertEquals(response.status_code, 200)
def test_pagination_has_previous(self):
self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "testing one",
"description": "testing 1"
}),
headers=self.set_headers())
self.client.post("/api/v1/bucketlists",
data=json.dumps({
"name": "another one",
"description": "another"
}),
headers=self.set_headers())
response = self.client.get("/api/v1/bucketlists?limit=1&page=2",
headers=self.set_headers())
payload = json.loads(response.data.decode())
self.assertEquals(payload["meta"]["prev_page"],
"http://localhost/api/v1/bucketlists?limit=1&page=1")
self.assertEquals(len(payload["bucketlists"]), 1)
self.assertEquals(response.status_code, 200)
if __name__ == "__main__":
unittest.main()
| 40.276923
| 79
| 0.496371
| 465
| 5,236
| 5.477419
| 0.191398
| 0.113074
| 0.087947
| 0.08245
| 0.864154
| 0.81861
| 0.810758
| 0.773459
| 0.738516
| 0.738516
| 0
| 0.016939
| 0.391138
| 5,236
| 129
| 80
| 40.589147
| 0.781995
| 0.023109
| 0
| 0.659794
| 0
| 0
| 0.1729
| 0.018406
| 0
| 0
| 0
| 0
| 0.185567
| 1
| 0.082474
| false
| 0
| 0.020619
| 0
| 0.113402
| 0
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| null | 0
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| 1
| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
f14efac4d513b4cd087967beb105cf01626d9689
| 89
|
py
|
Python
|
app/main/__init__.py
|
AisaJ/Pitches-app
|
2256e5a4da9c7d06f0eb3a3106dbe23841c85ae9
|
[
"Unlicense"
] | null | null | null |
app/main/__init__.py
|
AisaJ/Pitches-app
|
2256e5a4da9c7d06f0eb3a3106dbe23841c85ae9
|
[
"Unlicense"
] | null | null | null |
app/main/__init__.py
|
AisaJ/Pitches-app
|
2256e5a4da9c7d06f0eb3a3106dbe23841c85ae9
|
[
"Unlicense"
] | null | null | null |
from flask import Blueprint
main = Blueprint ('main',__name__)
from . import views,errors
| 29.666667
| 34
| 0.786517
| 12
| 89
| 5.5
| 0.666667
| 0.393939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123596
| 89
| 3
| 35
| 29.666667
| 0.846154
| 0
| 0
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| 0
| 0
| 0.044444
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
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| 0.666667
| 1
| 0
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| null | 1
| 0
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| 0
| 1
| 0
| 1
| 1
|
0
| 6
|
f15647febc845803b459cc22c09d26de8b88670f
| 26
|
py
|
Python
|
bimap/__init__.py
|
sushobhit27/bimap
|
067fc0da2fa64a8a09623c2c60beb9bb4c3d90b2
|
[
"MIT"
] | 3
|
2018-11-09T14:46:03.000Z
|
2020-03-04T09:39:13.000Z
|
bimap/__init__.py
|
sushobhit27/bimap
|
067fc0da2fa64a8a09623c2c60beb9bb4c3d90b2
|
[
"MIT"
] | null | null | null |
bimap/__init__.py
|
sushobhit27/bimap
|
067fc0da2fa64a8a09623c2c60beb9bb4c3d90b2
|
[
"MIT"
] | null | null | null |
from . bimap import Bimap
| 13
| 25
| 0.769231
| 4
| 26
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 26
| 1
| 26
| 26
| 0.952381
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
f156cbfa094be0d7fb05d3c9c213a4196e3f8234
| 44
|
py
|
Python
|
visualiser/__init__.py
|
possiblyhamzah/visualiser
|
0e9f2670e6538e9931580d72712ddce4953809dd
|
[
"MIT"
] | null | null | null |
visualiser/__init__.py
|
possiblyhamzah/visualiser
|
0e9f2670e6538e9931580d72712ddce4953809dd
|
[
"MIT"
] | null | null | null |
visualiser/__init__.py
|
possiblyhamzah/visualiser
|
0e9f2670e6538e9931580d72712ddce4953809dd
|
[
"MIT"
] | null | null | null |
from visualiser.Visualiser import Visualiser
| 44
| 44
| 0.909091
| 5
| 44
| 8
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068182
| 44
| 1
| 44
| 44
| 0.97561
| 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
|
7436e6323980129bb9a6bdac24111c9cf90668a7
| 25
|
py
|
Python
|
run.py
|
Tech-Dex/boilerplate-fastapi-mysql
|
0cbdc9f6a171a6575c50659a1227579b577ff4dc
|
[
"MIT"
] | 2
|
2021-06-21T09:34:50.000Z
|
2021-09-06T10:16:12.000Z
|
run.py
|
Tech-Dex/boilerplate-fastapi-mysql
|
0cbdc9f6a171a6575c50659a1227579b577ff4dc
|
[
"MIT"
] | 1
|
2022-02-05T15:29:10.000Z
|
2022-02-05T15:29:10.000Z
|
run.py
|
Tech-Dex/boilerplate-fastapi-mysql
|
0cbdc9f6a171a6575c50659a1227579b577ff4dc
|
[
"MIT"
] | 1
|
2022-02-01T21:38:43.000Z
|
2022-02-01T21:38:43.000Z
|
from app.main import app
| 12.5
| 24
| 0.8
| 5
| 25
| 4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.952381
| 0
| 0
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| 0
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| 0
| 0
| 0
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| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 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
|
77af253b352f647ee76b871342130625701e364b
| 63,651
|
py
|
Python
|
ImageNet/training-software/binarization_utils_birealnet.py
|
awai54st/Logic-Shrinkage
|
0fa60201b9d55bb6804cf503731f1476b57ed48f
|
[
"BSD-2-Clause"
] | 11
|
2021-11-23T20:32:14.000Z
|
2022-03-01T21:11:51.000Z
|
ImageNet/training-software/binarization_utils_birealnet.py
|
awai54st/Logic-Shrinkage
|
0fa60201b9d55bb6804cf503731f1476b57ed48f
|
[
"BSD-2-Clause"
] | null | null | null |
ImageNet/training-software/binarization_utils_birealnet.py
|
awai54st/Logic-Shrinkage
|
0fa60201b9d55bb6804cf503731f1476b57ed48f
|
[
"BSD-2-Clause"
] | null | null | null |
import numpy as np
import pickle
import matplotlib.pyplot as plt
import matplotlib
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dense, Convolution2D, Activation, Flatten, MaxPooling2D,Input,Dropout,GlobalAveragePooling2D
from tensorflow.keras import backend as K
from tensorflow.keras.datasets import cifar10
import tensorflow.keras.utils
from tensorflow.keras.optimizers import SGD
from tensorflow.keras.layers import Layer
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import os
from tensorflow.keras.layers import BatchNormalization
from tensorflow.python.framework import ops
#import random
from binarization_utils import genkernel_tf, genkernel_mat_tf, dummy_kernel_mat
def BiRealNetBinaryActivation(x):
out_forward = K.sign(x)
#out_e1 = (x^2 + 2*x)
#out_e2 = (-x^2 + 2*x)
out_e_total = 0
mask1 = tf.dtypes.cast(x < -1, tf.float32)
mask2 = tf.dtypes.cast(x < 0, tf.float32)
mask3 = tf.dtypes.cast(x < 1, tf.float32)
out1 = (-1) * mask1 + (x*x + 2*x) * (1-mask1)
out2 = out1 * mask2 + (-x*x + 2*x) * (1-mask2)
out3 = out2 * mask3 + 1 * (1- mask3)
out = out3 + K.stop_gradient(out_forward - out3)
return out
def BiRealNetMagnitudeAwareWeight(w, num_dims=4):
real_weights = w
#scaling_factor = K.mean(K.mean(K.mean(abs(real_weights),axis=0,keepdim=True),axis=1,keepdim=True),axis=2,keepdim=True)
if num_dims == 4:
scaling_factor = tf.reduce_mean(abs(real_weights),axis=[0,1,2],keepdims=True)
elif num_dims == 5:
scaling_factor = tf.reduce_mean(abs(real_weights),axis=[1,2,3],keepdims=True)
#print(scaling_factor, flush=True)
scaling_factor = K.stop_gradient(scaling_factor)
binary_weights_no_grad = scaling_factor * K.sign(real_weights)
cliped_weights = K.clip(real_weights, -1.0, 1.0)
binary_weights = K.stop_gradient(binary_weights_no_grad) - K.stop_gradient(cliped_weights) + cliped_weights
return binary_weights
class BiRealNet_Residual_sign(Layer):
def __init__(self, levels=1,trainable=True,**kwargs):
self.levels=levels
self.trainable=trainable
super(BiRealNet_Residual_sign, self).__init__(**kwargs)
def get_config(self):
config = super().get_config().copy()
config.update({
'levels': self.levels,
'trainable': self.trainable,
})
return config
def build(self, input_shape):
ars=np.arange(self.levels)+1.0
ars=ars[::-1]
means=ars/np.sum(ars)
#self.means=[K.variable(m) for m in means]
#self.trainable_weights=self.means
self.means = self.add_weight(name='means',
shape=(self.levels, ),
initializer=keras.initializers.Constant(value=means),
trainable=self.trainable) # Trainable scaling factors for residual binarisation
def call(self, x, mask=None):
resid = x
out_bin=0
if self.levels==1:
for l in range(self.levels):
#out=binarize(resid)*K.abs(self.means[l])
out=BiRealNetBinaryActivation(resid)*abs(self.means[l])
#out_bin=out_bin+out
out_bin=out_bin+out#no gamma per level
resid=resid-out
elif self.levels==2:
out=BiRealNetBinaryActivation(resid)*abs(self.means[0])
out_bin=out
resid=resid-out
out=BiRealNetBinaryActivation(resid)*abs(self.means[1])
out_bin=tf.stack([out_bin,out])
resid=resid-out
elif self.levels==3:
out=BiRealNetBinaryActivation(resid)*abs(self.means[0])
out_bin1=out
resid=resid-out
out=BiRealNetBinaryActivation(resid)*abs(self.means[1])
out_bin2=out
resid=resid-out
out=BiRealNetBinaryActivation(resid)*abs(self.means[2])
out_bin3=out
resid=resid-out
out_bin=tf.stack([out_bin1,out_bin2,out_bin3])
return out_bin
def get_output_shape_for(self,input_shape):
if self.levels==1:
return input_shape
else:
return (self.levels, input_shape)
def compute_output_shape(self,input_shape):
if self.levels==1:
return input_shape
else:
return (self.levels, input_shape)
def set_means(self,X):
means=np.zeros((self.levels))
means[0]=1
resid=np.clip(X,-1,1)
approx=0
for l in range(self.levels):
m=np.mean(np.absolute(resid))
out=np.sign(resid)*m
approx=approx+out
resid=resid-out
means[l]=m
err=np.mean((approx-np.clip(X,-1,1))**2)
means=means/np.sum(means)
sess=K.get_session()
sess.run(self.means.assign(means))
class birealnet_binary_conv(Layer):
def __init__(self,nfilters,ch_in,k,padding,strides=(1,1),levels=1,k_lut=4,first_layer=False,LUT=True,REG=None,BINARY=True,LOGIC_SHRINKAGE=False,custom_rand_seed=0,**kwargs):
self.nfilters=nfilters
self.ch_in=ch_in
self.k=k
self.padding=padding
if padding=='valid':
self.PADDING = "VALID" #tf uses upper-case padding notations whereas keras uses lower-case notations
elif padding=='same':
self.PADDING = "SAME"
self.strides=strides
self.levels=levels
self.k_lut=k_lut
self.first_layer=first_layer
self.LUT=LUT
self.REG=REG
self.BINARY=BINARY
self.LOGIC_SHRINKAGE=LOGIC_SHRINKAGE
#self.custom_rand_seed=custom_rand_seed
self.window_size=self.ch_in*self.k*self.k
super(birealnet_binary_conv,self).__init__(**kwargs)
def get_config(self):
config = super().get_config().copy()
config.update({
'nfilters': self.nfilters,
'ch_in': self.ch_in,
'k': self.k,
'padding': self.padding,
'strides': self.strides,
'levels': self.levels,
'k_lut': self.k_lut,
'first_layer': self.first_layer,
'LUT': self.LUT,
'REG': self.REG,
'BINARY': self.BINARY,
'LOGIC_SHRINKAGE': self.LOGIC_SHRINKAGE,
#'custom_rand_seed': self.custom_rand_seed,
})
return config
def build(self, input_shape):
#np.random.seed(self.custom_rand_seed)
#tf.set_random_seed(self.rand_seed)
#random.seed(self.rand_seed)
if self.k_lut > 1:
self.rand_map_0 = self.add_weight(name='rand_map_0',
shape=(self.window_size, 1),
initializer=keras.initializers.Constant(value=np.random.randint(self.window_size, size=[self.window_size, 1])),
trainable=False) # Randomisation map for subsequent input connections
if self.k_lut > 2:
self.rand_map_1 = self.add_weight(name='rand_map_1',
shape=(self.window_size, 1),
initializer=keras.initializers.Constant(value=np.random.randint(self.window_size, size=[self.window_size, 1])),
trainable=False) # Randomisation map for subsequent input connections
if self.k_lut > 3:
self.rand_map_2 = self.add_weight(name='rand_map_2',
shape=(self.window_size, 1),
initializer=keras.initializers.Constant(value=np.random.randint(self.window_size, size=[self.window_size, 1])),
trainable=False) # Randomisation map for subsequent input connections
if self.k_lut > 4:
self.rand_map_3 = self.add_weight(name='rand_map_3',
shape=(self.window_size, 1),
initializer=keras.initializers.Constant(value=np.random.randint(self.window_size, size=[self.window_size, 1])),
trainable=False) # Randomisation map for subsequent input connections
if self.k_lut > 5:
self.rand_map_4 = self.add_weight(name='rand_map_4',
shape=(self.window_size, 1),
initializer=keras.initializers.Constant(value=np.random.randint(self.window_size, size=[self.window_size, 1])),
trainable=False) # Randomisation map for subsequent input connections
stdv=1/np.sqrt(self.k*self.k*self.ch_in)
if self.levels==1 or self.first_layer==True:
#w = np.random.normal(loc=0.0, scale=stdv,size=[self.k,self.k,self.ch_in,self.nfilters]).astype(np.float32)
#self.w=K.variable(w)
#self._trainable_weights=[self.w,self.gamma]
if self.REG==True:
self.w = self.add_weight(
name='Variable_1',
shape=[self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
regularizer=tf.keras.regularizers.l2(5e-7),
trainable=True
)
else:
self.w = self.add_weight(
name='Variable_1',
shape=[self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
trainable=True
)
elif self.levels==2:
if self.LUT==True:
#c_param = np.random.normal(loc=0.0, scale=stdv,size=[(2**self.k_lut)*self.levels,self.k,self.k,self.ch_in,self.nfilters]).astype(np.float32)
#self.c_param =K.variable(c_param)
#self._trainable_weights=[self.c_param, self.gamma]
if self.REG==True:
self.c_param = self.add_weight(
name='Variable_1',
shape=[(2**self.k_lut)*self.levels,self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
regularizer=tf.keras.regularizers.l2(5e-7),
trainable=True
)
else:
self.c_param = self.add_weight(
name='Variable_1',
shape=[(2**self.k_lut)*self.levels,self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
trainable=True
)
else:
#w = np.random.normal(loc=0.0, scale=stdv,size=[self.k,self.k,self.ch_in,self.nfilters]).astype(np.float32)
#self.w=K.variable(w)
#self._trainable_weights=[self.w,self.gamma]
if self.REG==True:
self.w = self.add_weight(
name='Variable_1',
shape=[self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
regularizer=tf.keras.regularizers.l2(5e-7),
trainable=True
)
else:
self.w = self.add_weight(
name='Variable_1',
shape=[self.k,self.k,self.ch_in,self.nfilters],
initializer=tf.keras.initializers.RandomNormal(mean=0.0, stddev=stdv, seed=None),
trainable=True
)
elif self.levels==3:
assert False
if self.LUT == True: # Construct shrinkage maps
value=dummy_kernel_mat(K=self.k_lut,num_ops=self.window_size*self.nfilters)
if self.k_lut > 4: # Split the shrinkage matrix to avoid the 2GB tensor size limit
value = np.split(value, 8, axis=-1)
self.shrinkage_map = [None] * 8
for i in range(8):
self.shrinkage_map[i] = self.add_weight(name='shrinkage_map_p'+str(i),
shape=value[i].shape,
initializer=keras.initializers.Constant(value[i]),
trainable=False)
#self.shrinkage_map_p0 = self.add_weight(name='shrinkage_map_p0',
# shape=value[0].shape,
# initializer=keras.initializers.Constant(value[0]),
# trainable=False)
#self.shrinkage_map_p1 = self.add_weight(name='shrinkage_map_p1',
# shape=value[1].shape,
# initializer=keras.initializers.Constant(value[1]),
# trainable=False)
#self.shrinkage_map_p2 = self.add_weight(name='shrinkage_map_p2',
# shape=value[2].shape,
# initializer=keras.initializers.Constant(value[2]),
# trainable=False)
#self.shrinkage_map_p3 = self.add_weight(name='shrinkage_map_p3',
# shape=value[3].shape,
# initializer=keras.initializers.Constant(value[3]),
# trainable=False)
#self.shrinkage_map_p4 = self.add_weight(name='shrinkage_map_p4',
# shape=value[4].shape,
# initializer=keras.initializers.Constant(value[4]),
# trainable=False)
#self.shrinkage_map_p5 = self.add_weight(name='shrinkage_map_p5',
# shape=value[5].shape,
# initializer=keras.initializers.Constant(value[5]),
# trainable=False)
#self.shrinkage_map_p6 = self.add_weight(name='shrinkage_map_p6',
# shape=value[6].shape,
# initializer=keras.initializers.Constant(value[6]),
# trainable=False)
#self.shrinkage_map_p7 = self.add_weight(name='shrinkage_map_p7',
# shape=value[7].shape,
# initializer=keras.initializers.Constant(value[7]),
# trainable=False)
else:
self.shrinkage_map = self.add_weight(name='shrinkage_map',
shape=value.shape,
initializer=keras.initializers.Constant(value),
trainable=False)
self.pruning_mask = self.add_weight(name='pruning_mask',
shape=(self.window_size,self.nfilters),
initializer=keras.initializers.Constant(value=np.ones((self.window_size,self.nfilters))),
trainable=False) # LUT pruning based on whether inputs get repeated
def call(self, x,mask=None):
#np.random.seed(self.custom_rand_seed)
#tf.set_random_seed(self.rand_seed)
#random.seed(self.rand_seed)
if self.levels==1 or self.first_layer==True:
if self.BINARY==False:
self.clamped_w=K.clip(self.w,-1,1)
else:
self.clamped_w=BiRealNetMagnitudeAwareWeight(self.w, num_dims=4)
elif self.levels==2:
if self.LUT==True:
if self.LOGIC_SHRINKAGE==True:
#SHRINKAGE
#Stacking c coefficients to create c_mat1 and c_mat2 tensors
c_mat1=self.c_param[0 : 2**self.k_lut, :, :]
c_mat2=self.c_param[2**self.k_lut : (2**self.k_lut)*2, :, :]
c_mat1=tf.reshape(c_mat1,(1,2**self.k_lut,self.window_size*self.nfilters))
c_mat2=tf.reshape(c_mat2,(1,2**self.k_lut,self.window_size*self.nfilters))
c_mat1=tf.transpose(c_mat1,(2,0,1))
c_mat2=tf.transpose(c_mat2,(2,0,1))
if self.k_lut > 4:
self.shrinkage_map = tf.concat(self.shrinkage_map, axis=2)
c_mat1=tf.matmul(c_mat1,self.shrinkage_map)
c_mat2=tf.matmul(c_mat2,self.shrinkage_map)
c_mat1=tf.transpose(c_mat1,(2,0,1))
c_mat2=tf.transpose(c_mat2,(2,0,1))
c_mat1 = tf.reshape(c_mat1, (2**self.k_lut, self.k, self.k, self.ch_in, self.nfilters))
c_mat2 = tf.reshape(c_mat2, (2**self.k_lut, self.k, self.k, self.ch_in, self.nfilters))
if self.BINARY==False:
self.clamped_c_param =K.clip(self.c_param, -1,1)
elif self.LOGIC_SHRINKAGE==True:
self.clamped_c_param= BiRealNetMagnitudeAwareWeight(tf.concat([c_mat1, c_mat2], axis=0), num_dims=5)
else:
self.clamped_c_param =BiRealNetMagnitudeAwareWeight(self.c_param, num_dims=5)
else:
if self.BINARY==False:
self.clamped_w=K.clip(self.w,-1,1)
else:
self.clamped_w=BiRealNetMagnitudeAwareWeight(self.w, num_dims=4)
elif self.levels==3:
assert False # 3-bit residual binarisation not implemented
if keras.__version__[0]=='2':
if self.levels==1 or self.first_layer==True:
self.out=K.conv2d(x, kernel=self.clamped_w*tf.reshape(self.pruning_mask, [self.k, self.k, self.ch_in, self.nfilters]), padding=self.padding,strides=self.strides )
elif self.levels==2:
if self.LUT==True:
x0_patches = tf.image.extract_patches(x[0,:,:,:,:],
[1, self.k, self.k, 1],
[1, self.strides[0], self.strides[1], 1], [1, 1, 1, 1],
padding=self.PADDING)
x1_patches = tf.image.extract_patches(x[1,:,:,:,:],
[1, self.k, self.k, 1],
[1, self.strides[0], self.strides[1], 1], [1, 1, 1, 1],
padding=self.PADDING)
# Special hack for randomising the subsequent input connections: tensorflow does not support advanced matrix indexing
x0_shuf_patches=tf.transpose(x0_patches, perm=[3, 0, 1, 2])
if self.k_lut > 1:
x0_shuf_patches_0 = tf.gather_nd(x0_shuf_patches, tf.cast(self.rand_map_0, tf.int32))
x0_shuf_patches_0=tf.transpose(x0_shuf_patches_0, perm=[1, 2, 3, 0])
if self.k_lut > 2:
x0_shuf_patches_1 = tf.gather_nd(x0_shuf_patches, tf.cast(self.rand_map_1, tf.int32))
x0_shuf_patches_1=tf.transpose(x0_shuf_patches_1, perm=[1, 2, 3, 0])
if self.k_lut > 3:
x0_shuf_patches_2 = tf.gather_nd(x0_shuf_patches, tf.cast(self.rand_map_2, tf.int32))
x0_shuf_patches_2=tf.transpose(x0_shuf_patches_2, perm=[1, 2, 3, 0])
if self.k_lut > 4:
x0_shuf_patches_3 = tf.gather_nd(x0_shuf_patches, tf.cast(self.rand_map_3, tf.int32))
x0_shuf_patches_3=tf.transpose(x0_shuf_patches_3, perm=[1, 2, 3, 0])
if self.k_lut > 5:
x0_shuf_patches_4 = tf.gather_nd(x0_shuf_patches, tf.cast(self.rand_map_4, tf.int32))
x0_shuf_patches_4=tf.transpose(x0_shuf_patches_4, perm=[1, 2, 3, 0])
x1_shuf_patches=tf.transpose(x1_patches, perm=[3, 0, 1, 2])
if self.k_lut > 1:
x1_shuf_patches_0 = tf.gather_nd(x1_shuf_patches, tf.cast(self.rand_map_0, tf.int32))
x1_shuf_patches_0=tf.transpose(x1_shuf_patches_0, perm=[1, 2, 3, 0])
if self.k_lut > 2:
x1_shuf_patches_1 = tf.gather_nd(x1_shuf_patches, tf.cast(self.rand_map_1, tf.int32))
x1_shuf_patches_1=tf.transpose(x1_shuf_patches_1, perm=[1, 2, 3, 0])
if self.k_lut > 3:
x1_shuf_patches_2 = tf.gather_nd(x1_shuf_patches, tf.cast(self.rand_map_2, tf.int32))
x1_shuf_patches_2=tf.transpose(x1_shuf_patches_2, perm=[1, 2, 3, 0])
if self.k_lut > 4:
x1_shuf_patches_3 = tf.gather_nd(x1_shuf_patches, tf.cast(self.rand_map_3, tf.int32))
x1_shuf_patches_3=tf.transpose(x1_shuf_patches_3, perm=[1, 2, 3, 0])
if self.k_lut > 5:
x1_shuf_patches_4 = tf.gather_nd(x1_shuf_patches, tf.cast(self.rand_map_4, tf.int32))
x1_shuf_patches_4=tf.transpose(x1_shuf_patches_4, perm=[1, 2, 3, 0])
x0_pos=(1+BiRealNetBinaryActivation(x0_patches))/2*abs(x0_patches)
x0_neg=(1-BiRealNetBinaryActivation(x0_patches))/2*abs(x0_patches)
x1_pos=(1+BiRealNetBinaryActivation(x1_patches))/2*abs(x1_patches)
x1_neg=(1-BiRealNetBinaryActivation(x1_patches))/2*abs(x1_patches)
if self.k_lut > 1:
x0s0_pos=(1+BiRealNetBinaryActivation(x0_shuf_patches_0))/2#*abs(x0_shuf_patches_0)
x0s0_neg=(1-BiRealNetBinaryActivation(x0_shuf_patches_0))/2#*abs(x0_shuf_patches_0)
x1s0_pos=(1+BiRealNetBinaryActivation(x1_shuf_patches_0))/2#*abs(x1_shuf_patches_0)
x1s0_neg=(1-BiRealNetBinaryActivation(x1_shuf_patches_0))/2#*abs(x1_shuf_patches_0)
if self.k_lut > 2:
x0s1_pos=(1+BiRealNetBinaryActivation(x0_shuf_patches_1))/2#*abs(x0_shuf_patches_1)
x0s1_neg=(1-BiRealNetBinaryActivation(x0_shuf_patches_1))/2#*abs(x0_shuf_patches_1)
x1s1_pos=(1+BiRealNetBinaryActivation(x1_shuf_patches_1))/2#*abs(x1_shuf_patches_1)
x1s1_neg=(1-BiRealNetBinaryActivation(x1_shuf_patches_1))/2#*abs(x1_shuf_patches_1)
if self.k_lut > 3:
x0s2_pos=(1+BiRealNetBinaryActivation(x0_shuf_patches_2))/2#*abs(x0_shuf_patches_2)
x0s2_neg=(1-BiRealNetBinaryActivation(x0_shuf_patches_2))/2#*abs(x0_shuf_patches_2)
x1s2_pos=(1+BiRealNetBinaryActivation(x1_shuf_patches_2))/2#*abs(x1_shuf_patches_2)
x1s2_neg=(1-BiRealNetBinaryActivation(x1_shuf_patches_2))/2#*abs(x1_shuf_patches_2)
if self.k_lut > 4:
x0s3_pos=(1+BiRealNetBinaryActivation(x0_shuf_patches_3))/2#*abs(x0_shuf_patches_2)
x0s3_neg=(1-BiRealNetBinaryActivation(x0_shuf_patches_3))/2#*abs(x0_shuf_patches_2)
x1s3_pos=(1+BiRealNetBinaryActivation(x1_shuf_patches_3))/2#*abs(x1_shuf_patches_2)
x1s3_neg=(1-BiRealNetBinaryActivation(x1_shuf_patches_3))/2#*abs(x1_shuf_patches_2)
if self.k_lut > 5:
x0s4_pos=(1+BiRealNetBinaryActivation(x0_shuf_patches_4))/2#*abs(x0_shuf_patches_2)
x0s4_neg=(1-BiRealNetBinaryActivation(x0_shuf_patches_4))/2#*abs(x0_shuf_patches_2)
x1s4_pos=(1+BiRealNetBinaryActivation(x1_shuf_patches_4))/2#*abs(x1_shuf_patches_2)
x1s4_neg=(1-BiRealNetBinaryActivation(x1_shuf_patches_4))/2#*abs(x1_shuf_patches_2)
if self.k_lut == 1:
self.out= K.dot(x0_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
if self.k_lut == 2:
self.out= K.dot(x0_pos*x0s0_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos, tf.reshape(self.clamped_c_param[4], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg, tf.reshape(self.clamped_c_param[5], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos, tf.reshape(self.clamped_c_param[6], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg, tf.reshape(self.clamped_c_param[7], [-1, self.nfilters])*self.pruning_mask)
if self.k_lut == 3:
self.out= K.dot(x0_pos*x0s0_pos*x0s1_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos, tf.reshape(self.clamped_c_param[4], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg, tf.reshape(self.clamped_c_param[5], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos, tf.reshape(self.clamped_c_param[6], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg, tf.reshape(self.clamped_c_param[7], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos, tf.reshape(self.clamped_c_param[8], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg, tf.reshape(self.clamped_c_param[9], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos, tf.reshape(self.clamped_c_param[10], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg, tf.reshape(self.clamped_c_param[11], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos, tf.reshape(self.clamped_c_param[12], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg, tf.reshape(self.clamped_c_param[13], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos, tf.reshape(self.clamped_c_param[14], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg, tf.reshape(self.clamped_c_param[15], [-1, self.nfilters])*self.pruning_mask)
if self.k_lut == 4:
self.out= K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos, tf.reshape(self.clamped_c_param[4], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg, tf.reshape(self.clamped_c_param[5], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos, tf.reshape(self.clamped_c_param[6], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg, tf.reshape(self.clamped_c_param[7], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos, tf.reshape(self.clamped_c_param[8], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg, tf.reshape(self.clamped_c_param[9], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos, tf.reshape(self.clamped_c_param[10], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg, tf.reshape(self.clamped_c_param[11], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos, tf.reshape(self.clamped_c_param[12], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg, tf.reshape(self.clamped_c_param[13], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos, tf.reshape(self.clamped_c_param[14], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg, tf.reshape(self.clamped_c_param[15], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos, tf.reshape(self.clamped_c_param[16], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg, tf.reshape(self.clamped_c_param[17], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos, tf.reshape(self.clamped_c_param[18], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg, tf.reshape(self.clamped_c_param[19], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos, tf.reshape(self.clamped_c_param[20], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg, tf.reshape(self.clamped_c_param[21], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos, tf.reshape(self.clamped_c_param[22], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg, tf.reshape(self.clamped_c_param[23], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos, tf.reshape(self.clamped_c_param[24], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg, tf.reshape(self.clamped_c_param[25], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos, tf.reshape(self.clamped_c_param[26], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg, tf.reshape(self.clamped_c_param[27], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos, tf.reshape(self.clamped_c_param[28], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg, tf.reshape(self.clamped_c_param[29], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos, tf.reshape(self.clamped_c_param[30], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg, tf.reshape(self.clamped_c_param[31], [-1, self.nfilters])*self.pruning_mask)
if self.k_lut == 5:
self.out= K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[4], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[5], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[6], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[7], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[8], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[9], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[10], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[11], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[12], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[13], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[14], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[15], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[16], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[17], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[18], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[19], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[20], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[21], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[22], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[23], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[24], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[25], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[26], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[27], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos, tf.reshape(self.clamped_c_param[28], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg, tf.reshape(self.clamped_c_param[29], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos, tf.reshape(self.clamped_c_param[30], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg, tf.reshape(self.clamped_c_param[31], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[32], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[33], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[34], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[35], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[36], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[37], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[38], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[39], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[40], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[41], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[42], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[43], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[44], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[45], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[46], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[47], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[48], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[49], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[50], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[51], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[52], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[53], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[54], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[55], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[56], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[57], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[58], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[59], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos, tf.reshape(self.clamped_c_param[60], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg, tf.reshape(self.clamped_c_param[61], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos, tf.reshape(self.clamped_c_param[62], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg, tf.reshape(self.clamped_c_param[63], [-1, self.nfilters])*self.pruning_mask)
if self.k_lut == 6:
self.out= K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[0], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[1], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[2], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[3], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[4], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[5], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[6], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[7], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[8], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[9], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[10], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[11], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[12], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[13], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[14], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[15], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[16], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[17], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[18], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[19], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[20], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[21], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[22], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[23], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[24], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[25], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[26], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[27], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[28], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[29], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[30], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_pos*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[31], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[32], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[33], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[34], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[35], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[36], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[37], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[38], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[39], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[40], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[41], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[42], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[43], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[44], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[45], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[46], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_pos*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[47], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[48], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[49], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[50], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[51], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[52], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[53], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[54], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_pos*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[55], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[56], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[57], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[58], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_pos*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[59], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_pos, tf.reshape(self.clamped_c_param[60], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_pos*x0s4_neg, tf.reshape(self.clamped_c_param[61], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_pos, tf.reshape(self.clamped_c_param[62], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x0_neg*x0s0_neg*x0s1_neg*x0s2_neg*x0s3_neg*x0s4_neg, tf.reshape(self.clamped_c_param[63], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[64], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[65], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[66], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[67], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[68], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[69], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[70], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[71], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[72], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[73], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[74], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[75], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[76], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[77], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[78], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[79], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[80], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[81], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[82], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[83], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[84], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[85], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[86], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[87], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[88], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[89], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[90], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[91], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[92], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[93], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[94], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_pos*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[95], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[96], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[97], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[98], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[99], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[100], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[101], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[102], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[103], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[104], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[105], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[106], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[107], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[108], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[109], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[110], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_pos*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[111], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[112], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[113], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[114], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[115], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[116], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[117], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[118], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_pos*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[119], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[120], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[121], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[122], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_pos*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[123], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_pos, tf.reshape(self.clamped_c_param[124], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_pos*x1s4_neg, tf.reshape(self.clamped_c_param[125], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_pos, tf.reshape(self.clamped_c_param[126], [-1, self.nfilters])*self.pruning_mask)
self.out=self.out+K.dot(x1_neg*x1s0_neg*x1s1_neg*x1s2_neg*x1s3_neg*x1s4_neg, tf.reshape(self.clamped_c_param[127], [-1, self.nfilters])*self.pruning_mask)
else:
x_expanded=0
for l in range(self.levels):
x_in=x[l,:,:,:,:]
x_expanded=x_expanded+x_in
self.out=K.conv2d(x_expanded, kernel=self.clamped_w*tf.reshape(self.pruning_mask, [self.k, self.k, self.ch_in, self.nfilters]), padding=self.padding,strides=self.strides )
elif self.levels==3:
if self.LUT==True:
x_pos=(1+x)/2
x_neg=(1-x)/2
self.out=K.conv2d(x_pos[0,:,:,:,:]*x_pos[1,:,:,:,:]*x_pos[2,:,:,:,:], kernel=self.clamped_w1, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_pos[0,:,:,:,:]*x_pos[1,:,:,:,:]*x_neg[2,:,:,:,:], kernel=self.clamped_w2, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_pos[0,:,:,:,:]*x_neg[1,:,:,:,:]*x_pos[2,:,:,:,:], kernel=self.clamped_w3, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_pos[0,:,:,:,:]*x_neg[1,:,:,:,:]*x_neg[2,:,:,:,:], kernel=self.clamped_w4, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_neg[0,:,:,:,:]*x_pos[1,:,:,:,:]*x_pos[2,:,:,:,:], kernel=self.clamped_w5, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_neg[0,:,:,:,:]*x_pos[1,:,:,:,:]*x_neg[2,:,:,:,:], kernel=self.clamped_w6, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_neg[0,:,:,:,:]*x_neg[1,:,:,:,:]*x_pos[2,:,:,:,:], kernel=self.clamped_w7, padding=self.padding,strides=self.strides )
self.out=self.out+K.conv2d(x_neg[0,:,:,:,:]*x_neg[1,:,:,:,:]*x_neg[2,:,:,:,:], kernel=self.clamped_w8, padding=self.padding,strides=self.strides )
else:
x_expanded=0
for l in range(self.levels):
x_in=x[l,:,:,:,:]
x_expanded=x_expanded+x_in
self.out=K.conv2d(x_expanded, kernel=self.clamped_w, padding=self.padding,strides=self.strides )
self.output_dim=self.out.get_shape()
return self.out
def get_output_shape_for(self,input_shape):
return (input_shape[0], self.output_dim[1],self.output_dim[2],self.output_dim[3])
def compute_output_shape(self,input_shape):
return (input_shape[0], self.output_dim[1],self.output_dim[2],self.output_dim[3])
"""
def binarize(x):
#Clip and binarize tensor using the straight through estimator (STE) for the gradient.
g = tf.get_default_graph()
with ops.name_scope("Binarized") as name:
with g.gradient_override_map({"Sign": "Identity"}):
x=tf.clip_by_value(x,-1,1)
return tf.sign(x)
class Residual_sign(Layer):
def __init__(self, levels=1,**kwargs):
self.levels=levels
super(Residual_sign, self).__init__(**kwargs)
def build(self, input_shape):
ars=np.arange(self.levels)+1.0
ars=ars[::-1]
self.means=ars/np.sum(ars)
self.means=tf.Variable(self.means,dtype=tf.float32)
K.get_session().run(tf.variables_initializer([self.means]))
self.trainable_weights=[self.means]
def call(self, x,mask=None):
resid = x
out_bin=0
for l in range(self.levels):
out=binarize(resid)*K.abs(self.means[l])
out_bin=out_bin+out
resid=resid-out
return out_bin
def compute_output_shape(self,input_shape):
return input_shape
def set_means(self,X):
means=np.zeros((self.levels))
means[0]=1
resid=np.clip(X,-1,1)
approx=0
for l in range(self.levels):
m=np.mean(np.absolute(resid))
out=np.sign(resid)*m
approx=approx+out
resid=resid-out
means[l]=m
err=np.mean((approx-np.clip(X,-1,1))**2)
means=means/np.sum(means)
sess=K.get_session()
sess.run(self.means.assign(means))
class binary_conv(Layer):
def __init__(self,nfilters,ch_in,k,padding,**kwargs):
self.nfilters=nfilters
self.ch_in=ch_in
self.k=k
self.padding=padding
super(binary_conv,self).__init__(**kwargs)
def build(self, input_shape):
stdv=1/np.sqrt(self.k*self.k*self.ch_in)
w = tf.random_normal(shape=[self.k,self.k,self.ch_in,self.nfilters], mean=0.0, stddev=stdv, dtype=tf.float32)
self.w=K.variable(w)
self.gamma=K.variable([1.0])
self.trainable_weights=[self.w,self.gamma]
def call(self, x,mask=None):
constraint_gamma=K.abs(self.gamma)
self.clamped_w=constraint_gamma*binarize(self.w)
self.out=K.conv2d(x, kernel=self.clamped_w, padding=self.padding)#tf.nn.convolution(x, filter=self.clamped_w , padding=self.padding)
self.output_dim=self.out.get_shape()
#self.out=Convolution2D(filters=32, kernel_size=(3,3), strides=(1, 1), padding='valid', use_bias=False)(x)
return self.out
def compute_output_shape(self,input_shape):
return (input_shape[0], self.output_dim[1],self.output_dim[2],self.output_dim[3])
class binary_dense(Layer):
def __init__(self,n_in,n_out,**kwargs):
self.n_in=n_in
self.n_out=n_out
super(binary_dense,self).__init__(**kwargs)
def build(self, input_shape):
stdv=1/np.sqrt(self.n_in)
w = tf.random_normal(shape=[self.n_in,self.n_out], mean=0.0, stddev=stdv, dtype=tf.float32)
self.w=K.variable(w)
self.gamma=K.variable([1.0])
self.trainable_weights=[self.w,self.gamma]
def call(self, x, mask=None):
constraint_gamma=K.abs(self.gamma)
self.clamped_w=constraint_gamma*binarize(self.w)
self.out=K.dot(x, self.clamped_w)
self.output_dim=self.out.get_shape()
return self.out
def compute_output_shape(self,input_shape):
return (input_shape[0], self.output_dim[1])
"""
class my_flat(Layer):
def __init__(self,**kwargs):
super(my_flat,self).__init__(**kwargs)
def build(self, input_shape):
return
def call(self, x, mask=None):
self.out=tf.reshape(x,[-1,np.prod(x.get_shape().as_list()[1:])])
return self.out
def compute_output_shape(self,input_shape):
shpe=(input_shape[0],int(np.prod(input_shape[1:])))
return shpe
| 72.330682
| 176
| 0.733846
| 11,364
| 63,651
| 3.854277
| 0.038631
| 0.084224
| 0.048402
| 0.098973
| 0.903493
| 0.87895
| 0.839475
| 0.832511
| 0.819132
| 0.812489
| 0
| 0.066669
| 0.103345
| 63,651
| 879
| 177
| 72.412969
| 0.700769
| 0.057061
| 0
| 0.275915
| 0
| 0
| 0.004681
| 0
| 0
| 0
| 0
| 0
| 0.003049
| 1
| 0.028963
| false
| 0
| 0.028963
| 0.004573
| 0.085366
| 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
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| 0
| 0
| 0
| 0
|
0
| 6
|
7ae0f2d5723036baf5da5294c3ad28a7246a70cc
| 16,062
|
py
|
Python
|
core/tests/test_api.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 41
|
2015-10-12T15:27:35.000Z
|
2021-11-19T02:20:38.000Z
|
core/tests/test_api.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 402
|
2015-07-23T21:17:57.000Z
|
2022-03-28T18:02:02.000Z
|
core/tests/test_api.py
|
AndrewADev/open-oni
|
8a3a2564659eaf22b2bb3ad3be62504dfc151897
|
[
"Apache-2.0"
] | 23
|
2016-01-20T16:45:44.000Z
|
2021-12-21T00:23:40.000Z
|
import json
from django.test import TestCase
from django.conf import settings
class ApiTests(TestCase):
"""Tests the current API. Note URLs are hardwired instead of dynamic
using names from urls.py to help notice when we break our contract with
clients outside of LC.
"""
fixtures = [
'test/awardee.json',
'test/batch.json',
'test/countries.json',
'test/issue.json',
'test/page.json',
'test/reel.json',
'test/titles.json'
]
def test_newspaper_json(self):
r = self.client.get("/newspapers.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/newspapers.json',
'@type': 'sc:Collection',
'collections': [{'@id': 'https://oni.example.com/lccn/sn83030214.json',
'@type': 'sc:Collection',
'label': 'New-York tribune.'}],
'label': 'Newspapers'})
def test_title_json(self):
r = self.client.get("/lccn/sn83030214.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/lccn/sn83030214.json',
'@type': 'sc:Collection',
'label': 'New-York tribune.',
'manifests': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1.json',
'@type': 'sc:Manifest',
'label': '1898-01-01'}],
'metadata': [
{'label': 'id', 'value': '/lccn/sn83030214/'},
{'label': 'type', 'value': 'title'},
{'label': 'title', 'value': 'New-York tribune.'},
{'label': 'title normal', 'value': 'New-York tribune.'},
{'label': 'lccn', 'value': 'sn83030214'},
{'label': 'place of publication', 'value': 'New York [N.Y.]'},
{'label': 'frequency', 'value': 'Daily'},
{'label': 'publisher', 'value': 'New York Tribune'},
{'label': 'start year', 'value': 1866},
{'label': 'end year', 'value': 1924},
{'label': 'language', 'value': [{'@value': 'English'}]},
{'label': 'subject',
'value': [{'@value': 'New York (N.Y.)--Newspapers.'},
{'@value': 'New York County (N.Y.)--Newspapers.'}]},
{'label': 'note',
'value': [{'@value': "I'll take Manhattan"},
{'@value': 'The Big Apple'}]},
{'label': 'city',
'value': [{'@value': 'New York City'},
{'@value': 'New York City'}]},
{'label': 'county', 'value': [{'@value': 'Brooklyn'}, {'@value': 'Queens'}]},
{'label': 'state',
'value': [{'@value': 'New York'}, {'@value': 'New York'}]},
{'label': 'place',
'value': [{'@value': 'New York--Brooklyn--New York City'},
{'@value': 'New York--Queens--New York City'}]}]})
def test_issue_json(self):
r = self.client.get("/lccn/sn83030214/1898-01-01/ed-1.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1.json',
'@type': 'sc:Manifest',
'label': 'New-York tribune. [1898-01-01]',
'sequences': [{'@type': 'sc:Sequence',
'canvases': [{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'sc:Canvas',
'height': 8677,
'images': [{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'oa:Annotation',
'motivation': 'sc:painting',
'on': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'rendering': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1.pdf',
'format': 'application/pdf'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1.jp2',
'format': 'image/jp2'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1/',
'format': 'text/html'}],
'resource': {'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'dctypes:Image',
'format': 'image/jpeg',
'height': 8677,
'service': {'@context': 'http://iiif.io/api/image/2/context.json',
'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'profile': 'http://iiif.io/api/image/2/level0.json'},
'width': 6394},
'seeAlso': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1/ocr.xml',
'format': 'text/xml'}]}],
'label': '1',
'thumbnail': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2/full/240,/0/default.jpg',
'width': 6394},
{
'@id': 'https://oni.example.com/images/iiif/None',
'@type': 'sc:Canvas',
'width': 4500,
'height': 6825,
'label': '2',
'metadata': [
{'label': 'Note about reproduction', 'value': 'Not digitized, published'},
],
},
{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2',
'@type': 'sc:Canvas',
'height': 8600,
'images': [{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2',
'@type': 'oa:Annotation',
'motivation': 'sc:painting',
'on': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2',
'rendering': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-3.pdf',
'format': 'application/pdf'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-3.jp2',
'format': 'image/jp2'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-3/',
'format': 'text/html'}],
'resource': {'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2',
'@type': 'dctypes:Image',
'format': 'image/jpeg',
'height': 8600,
'service': {'@context': 'http://iiif.io/api/image/2/context.json',
'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2',
'profile': 'http://iiif.io/api/image/2/level0.json'},
'width': 6400},
'seeAlso': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-3/ocr.xml',
'format': 'text/xml'}]}],
'label': '3',
'thumbnail': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0003.jp2/full/240,/0/default.jpg',
'width': 6400}],
'label': 'issue order'}]})
def test_page_json(self):
r = self.client.get("/lccn/sn83030214/1898-01-01/ed-1/seq-1.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'sc:Canvas',
'height': 8677,
'images': [{'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'oa:Annotation',
'motivation': 'sc:painting',
'on': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'rendering': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1.pdf',
'format': 'application/pdf'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1.jp2',
'format': 'image/jp2'},
{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1/',
'format': 'text/html'}],
'resource': {'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'@type': 'dctypes:Image',
'format': 'image/jpeg',
'height': 8677,
'service': {'@context': 'http://iiif.io/api/image/2/context.json',
'@id': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2',
'profile': 'http://iiif.io/api/image/2/level0.json'},
'width': 6394},
'seeAlso': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1/seq-1/ocr.xml',
'format': 'text/xml'}]}],
'label': '1',
'thumbnail': 'https://oni.example.com/images/iiif/batch_curiv_ahwahnee_ver01%2Fdata%2Fsn83030214%2F00175037652%2F1898010101%2F0005.jp2/full/240,/0/default.jpg',
'width': 6394})
def test_batch_json(self):
r = self.client.get("/batches/batch_curiv_ahwahnee_ver01.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/batches/batch_curiv_ahwahnee_ver01.json',
'@type': 'sc:Collection',
'label': 'batch_curiv_ahwahnee_ver01',
'manifests': [{'@id': 'https://oni.example.com/lccn/sn83030214/1898-01-01/ed-1.json',
'@type': 'sc:Manifest',
'label': 'New-York tribune. [1898-01-01]'}],
'metadata': [{'label': 'Ingested',
'value': '2009-03-27T00:59:28+00:00'},
{'label': 'Pages', 'value': 3},
{'label': 'Awardee',
'value': 'University of California, Riverside'}]})
def test_awardee_json(self):
r = self.client.get("/awardees/curiv.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/awardees/curiv.json',
'@type': 'sc:Collection',
'collections': [{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/batches/batch_curiv_ahwahnee_ver01.json',
'@type': 'sc:Collection',
'label': 'batch_curiv_ahwahnee_ver01',
'metadata': [{'label': 'Ingested',
'value': '2009-03-27T00:59:28+00:00'},
{'label': 'Pages', 'value': 3},
{'label': 'Awardee',
'value': 'University of California, Riverside'}]}],
'label': 'University of California, Riverside'})
def test_batches_json(self):
r = self.client.get("/batches.json")
self.assertEqual(r.status_code, 200)
j = json.loads(r.content)
self.maxDiff = None
self.assertEqual(j,
{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/batches.json',
'@type': 'sc:Collection',
'collections': [{'@context': 'http://iiif.io/api/presentation/2/context.json',
'@id': 'https://oni.example.com/batches/batch_curiv_ahwahnee_ver01.json',
'@type': 'sc:Collection',
'label': 'batch_curiv_ahwahnee_ver01',
'metadata': [{'label': 'Ingested',
'value': '2009-03-27T00:59:28+00:00'},
{'label': 'Pages', 'value': 3},
{'label': 'Awardee',
'value': 'University of California, Riverside'}]}],
'label': 'Batches'})
| 65.559184
| 214
| 0.453368
| 1,466
| 16,062
| 4.901774
| 0.12824
| 0.046758
| 0.08767
| 0.105205
| 0.846646
| 0.823546
| 0.798219
| 0.782772
| 0.77317
| 0.772753
| 0
| 0.132335
| 0.388868
| 16,062
| 244
| 215
| 65.827869
| 0.599735
| 0.009961
| 0
| 0.587719
| 0
| 0.144737
| 0.450985
| 0.01851
| 0
| 0
| 0
| 0
| 0.061404
| 1
| 0.030702
| false
| 0
| 0.013158
| 0
| 0.052632
| 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
|
7aeac728f77b057274b15345cecc8eee0ccb3660
| 287
|
py
|
Python
|
PythonBasics/Python_DataTypes/PythonBoolean.py
|
abhinavsatheesh/Python
|
9ae1a7a040522f5989c34f17d2d0764b301fa23a
|
[
"Apache-2.0"
] | null | null | null |
PythonBasics/Python_DataTypes/PythonBoolean.py
|
abhinavsatheesh/Python
|
9ae1a7a040522f5989c34f17d2d0764b301fa23a
|
[
"Apache-2.0"
] | null | null | null |
PythonBasics/Python_DataTypes/PythonBoolean.py
|
abhinavsatheesh/Python
|
9ae1a7a040522f5989c34f17d2d0764b301fa23a
|
[
"Apache-2.0"
] | null | null | null |
#Boolean is a Data Type in Python which has 2 values - True and False
print (bool(0)) #Python will return False
print (bool(1)) #Python will return True
print (bool(1.5)) #Pyton will return True
print (bool(None)) #Python will return False
print (bool('')) #Python will return False
| 47.833333
| 70
| 0.724739
| 49
| 287
| 4.244898
| 0.469388
| 0.216346
| 0.307692
| 0.302885
| 0.509615
| 0.288462
| 0
| 0
| 0
| 0
| 0
| 0.021008
| 0.170732
| 287
| 6
| 71
| 47.833333
| 0.852941
| 0.644599
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 1
|
0
| 6
|
bb35984bfef8486616b17eeecd85d8008592cf9f
| 360
|
py
|
Python
|
vmraid/patches/v11_0/rename_workflow_action_to_workflow_action_master.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
vmraid/patches/v11_0/rename_workflow_action_to_workflow_action_master.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
vmraid/patches/v11_0/rename_workflow_action_to_workflow_action_master.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
from __future__ import unicode_literals
import vmraid
from vmraid.model.rename_doc import rename_doc
def execute():
if vmraid.db.table_exists("Workflow Action") and not vmraid.db.table_exists("Workflow Action Master"):
rename_doc('DocType', 'Workflow Action', 'Workflow Action Master')
vmraid.reload_doc('workflow', 'doctype', 'workflow_action_master')
| 36
| 103
| 0.791667
| 49
| 360
| 5.55102
| 0.44898
| 0.257353
| 0.220588
| 0.139706
| 0.242647
| 0.242647
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 360
| 9
| 104
| 40
| 0.839506
| 0
| 0
| 0
| 0
| 0
| 0.327778
| 0.061111
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.428571
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
247dbee90792a954f15431e62be8887deaf4a000
| 68
|
py
|
Python
|
graphgallery/functional/tensor/__init__.py
|
dongzizhu/GraphGallery
|
c65eab42daeb52de5019609fe7b368e30863b4ae
|
[
"MIT"
] | 1
|
2020-07-29T08:00:32.000Z
|
2020-07-29T08:00:32.000Z
|
graphgallery/functional/tensor/__init__.py
|
dongzizhu/GraphGallery
|
c65eab42daeb52de5019609fe7b368e30863b4ae
|
[
"MIT"
] | null | null | null |
graphgallery/functional/tensor/__init__.py
|
dongzizhu/GraphGallery
|
c65eab42daeb52de5019609fe7b368e30863b4ae
|
[
"MIT"
] | null | null | null |
from .ops import *
from .tensor import *
from .edge_ops import *
| 17
| 24
| 0.691176
| 10
| 68
| 4.6
| 0.5
| 0.391304
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220588
| 68
| 3
| 25
| 22.666667
| 0.867925
| 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
|
24b2ee6844ae3fa5e13c7f43e24c3bb6c759a3c2
| 98
|
py
|
Python
|
tottle/__init__.py
|
TheBakerCat/tottle
|
c7dbe741014caff1fadaa39d06db56d44886c31d
|
[
"MIT"
] | 1
|
2022-02-11T17:43:18.000Z
|
2022-02-11T17:43:18.000Z
|
tottle/__init__.py
|
TheBakerCat/tottle
|
c7dbe741014caff1fadaa39d06db56d44886c31d
|
[
"MIT"
] | null | null | null |
tottle/__init__.py
|
TheBakerCat/tottle
|
c7dbe741014caff1fadaa39d06db56d44886c31d
|
[
"MIT"
] | null | null | null |
from tottle.api import API
from tottle.framework import Bot
from tottle.types.mini import Message
| 24.5
| 37
| 0.836735
| 16
| 98
| 5.125
| 0.5625
| 0.365854
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 98
| 3
| 38
| 32.666667
| 0.953488
| 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
|
24d7fa3cb0a803015afffe05531fb19934e6ff2c
| 1,895
|
py
|
Python
|
cwm_worker_ingress/metrics.py
|
CloudWebManage/cwm-worker-ingress
|
9f8a1c5871e5c75f351ebbe85b576dcba62a56ef
|
[
"MIT"
] | 2
|
2021-09-26T11:43:59.000Z
|
2021-11-08T11:24:00.000Z
|
cwm_worker_ingress/metrics.py
|
CloudWebManage/cwm-worker-ingress
|
9f8a1c5871e5c75f351ebbe85b576dcba62a56ef
|
[
"MIT"
] | 2
|
2021-04-18T07:09:30.000Z
|
2021-10-09T07:40:48.000Z
|
cwm_worker_ingress/metrics.py
|
CloudWebManage/cwm-worker-ingress
|
9f8a1c5871e5c75f351ebbe85b576dcba62a56ef
|
[
"MIT"
] | null | null | null |
import datetime
from prometheus_client import Histogram
from cwm_worker_ingress import config
_h_resolver_request_latency = Histogram('resolver_request_latency', 'resolver request latency', ["protocol", "domain", "status"])
class Metrics:
def __init__(self, protocol):
self.labels = [protocol]
def resolver_success_cached(self, start_time, domain):
if not config.PROMETHEUS_METRICS_WITH_DOMAIN_LABEL:
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "success_cached").observe((datetime.datetime.now() - start_time).total_seconds())
def resolver_error_cached(self, start_time, domain):
if not config.PROMETHEUS_METRICS_WITH_DOMAIN_LABEL:
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "error_cached").observe((datetime.datetime.now() - start_time).total_seconds())
def resolver_success(self, start_time, domain):
if not config.PROMETHEUS_METRICS_WITH_DOMAIN_LABEL:
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "success").observe((datetime.datetime.now() - start_time).total_seconds())
def resolver_error(self, start_time, domain):
if not config.PROMETHEUS_METRICS_WITH_DOMAIN_LABEL:
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "error").observe((datetime.datetime.now() - start_time).total_seconds())
def resolver_unhandled_request_type(self, start_time):
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "unhandled_request_type").observe((datetime.datetime.now() - start_time).total_seconds())
def resolver_invalid_domain(self, start_time):
domain = ""
_h_resolver_request_latency.labels(*self.labels, domain, "invalid_domain").observe((datetime.datetime.now() - start_time).total_seconds())
| 44.069767
| 154
| 0.727704
| 226
| 1,895
| 5.716814
| 0.172566
| 0.083591
| 0.153251
| 0.124613
| 0.754644
| 0.754644
| 0.754644
| 0.754644
| 0.718266
| 0.718266
| 0
| 0
| 0.159367
| 1,895
| 42
| 155
| 45.119048
| 0.811048
| 0
| 0
| 0.344828
| 0
| 0
| 0.074934
| 0.024274
| 0
| 0
| 0
| 0
| 0
| 1
| 0.241379
| false
| 0
| 0.103448
| 0
| 0.37931
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
702f3e74fb79ea5b26273418e046677b42a057f9
| 60
|
py
|
Python
|
tests/__main__.py
|
limiear/solarbot
|
2596f0b2bddceacf9d04bae134e30cec5c6fa965
|
[
"MIT"
] | null | null | null |
tests/__main__.py
|
limiear/solarbot
|
2596f0b2bddceacf9d04bae134e30cec5c6fa965
|
[
"MIT"
] | 10
|
2015-04-13T04:13:54.000Z
|
2022-01-13T00:48:59.000Z
|
tests/__main__.py
|
limiear/solarbot
|
2596f0b2bddceacf9d04bae134e30cec5c6fa965
|
[
"MIT"
] | null | null | null |
import unittest
from solarbot_test import *
unittest.main()
| 15
| 27
| 0.816667
| 8
| 60
| 6
| 0.75
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 60
| 3
| 28
| 20
| 0.90566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
7062450040d56322b408fa038f464c76b360374e
| 55
|
py
|
Python
|
app/user/__init__.py
|
sagaragarwal94/medqa
|
992f4bf49a0137d82e9031b5d11fd84daa74fc35
|
[
"MIT"
] | 4
|
2016-05-25T16:57:33.000Z
|
2016-06-20T16:56:11.000Z
|
app/user/__init__.py
|
sagaragarwal94/medqa
|
992f4bf49a0137d82e9031b5d11fd84daa74fc35
|
[
"MIT"
] | 17
|
2016-07-02T05:49:06.000Z
|
2016-09-24T07:22:36.000Z
|
app/user/__init__.py
|
sagaragarwal94/medqa
|
992f4bf49a0137d82e9031b5d11fd84daa74fc35
|
[
"MIT"
] | 8
|
2016-05-25T17:08:05.000Z
|
2016-06-21T04:13:30.000Z
|
from usermodels import User
from userviews import user
| 18.333333
| 27
| 0.854545
| 8
| 55
| 5.875
| 0.625
| 0.425532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 55
| 2
| 28
| 27.5
| 1
| 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
|
5643dcdc84e61be97d11c2acd3b674946ae106eb
| 7,603
|
py
|
Python
|
Users/tests.py
|
gordiig/Un_RSOI_Curs_Users
|
c798c1640a8f9a286e5b09ffef788bbb28656f1d
|
[
"MIT"
] | null | null | null |
Users/tests.py
|
gordiig/Un_RSOI_Curs_Users
|
c798c1640a8f9a286e5b09ffef788bbb28656f1d
|
[
"MIT"
] | 2
|
2021-03-19T01:16:56.000Z
|
2021-03-30T12:58:56.000Z
|
Users/tests.py
|
gordiig/Un_RSOI_Curs_Users
|
c798c1640a8f9a286e5b09ffef788bbb28656f1d
|
[
"MIT"
] | null | null | null |
from TestUtils.models import BaseTestCase
from Users.models import Profile
class LocalBaseTestCase(BaseTestCase):
def setUp(self):
super().setUp()
self.path_prefix = self.url_prefix + 'profiles/'
self.profile = Profile.objects.create(user_id=100)
class ProfilesListTestCase(LocalBaseTestCase):
"""
Тест для /profiles/
"""
def setUp(self):
super().setUp()
self.path = self.path_prefix
self.data_201 = {
}
def testGet200_OK(self):
response = self.get_response_and_check_status(url=self.path)
self.fields_test(response, needed_fields=['id', 'user_id', 'pic_id'], allow_extra_fields=False)
self.list_test(response, Profile)
def testPost201_OK(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_201)
def testPost401_403_UnknownUser(self):
self.token.set_authenticate(False)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=[401, 403])
def testPost400_UnexpectedResultFromAuthServer(self):
self.token.set_error(self.token.ERRORS_KEYS.AUTH, self.token.ERRORS.BAD_CODE_400_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=400)
def testPost500_ServerError(self):
self.token.set_error(self.token.ERRORS_KEYS.AUTH, self.token.ERRORS.ERROR_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=500)
class ProfileTestCase(LocalBaseTestCase):
"""
Тесты для /profiles/<id>/
"""
def setUp(self):
super().setUp()
self.profile = Profile.objects.create(user_id=1)
self.path = self.path_prefix + f'{self.profile.user_id}/'
self.path_404 = self.path_prefix + f'{self.profile.user_id + 1000}/'
self.data_202 = {
'pin_sprite': 2,
}
def testGet200_OK(self):
response = self.get_response_and_check_status(url=self.path)
self.fields_test(response, needed_fields=['id', 'user_id', 'pin_sprite', 'geopin_sprite', 'created_dt',
'unlocked_pins', 'pic_id', 'achievements', 'money', 'rating'],
allow_extra_fields=False)
def testGet404_WrongId(self):
_ = self.get_response_and_check_status(url=self.path_404, expected_status_code=404)
def testPatch202_OK(self):
_ = self.patch_response_and_check_status(url=self.path, data=self.data_202)
def testPatch401_403_WrongId(self):
_ = self.patch_response_and_check_status(url=self.path_404, data=self.data_202, expected_status_code=[401, 403])
def testDelete204_OK(self):
_ = self.delete_response_and_check_status(url=self.path)
def testDelete401_WrongId(self):
_ = self.delete_response_and_check_status(url=self.path_404, expected_status_code=401)
class AddAwardTestCase(LocalBaseTestCase):
"""
Тесты для /add_achievement/
"""
def setUp(self):
super().setUp()
self.path = self.path_prefix + f'{self.profile.user_id}/add_achievement/'
self.data_201 = {
'achievement_id': 2,
}
self.data_400_1 = {
}
self.data_400_2 = {
'achievement_id': self.profile.get_achievements()[0],
}
def testPost201_OK(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_201)
def testPost400_WrongJSON(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_400_1, expected_status_code=400)
def testPost400_OwnedAchievement(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_400_2, expected_status_code=400)
def testPost401_403_AuthServiceError(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.ERROR_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=[401, 403])
def testPost401_403_WrongAppToken(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.BAD_CODE_401_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=[401, 403])
class BuyPinTestCase(LocalBaseTestCase):
"""
Тесты для /buy_pin/
"""
def setUp(self):
super().setUp()
self.path = self.path_prefix + f'{self.profile.user_id}/buy_pin/'
self.profile.money = 100
self.profile.save()
self.data_201 = {
'pin_id': 3,
'price': 10,
}
self.data_400_1 = {
}
self.data_400_2 = {
'achievement_id': self.profile.get_unlocked_pins()[0],
'price': 10,
}
self.data_400_3 = {
'pin_id': 3,
'price': 1000,
}
def testPost201_OK(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_201)
def testPost400_WrongJSON(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_400_1, expected_status_code=400)
def testPost400_OwnedAchievement(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_400_2, expected_status_code=400)
def testPost400_NotEnoughMoney(self):
_ = self.post_response_and_check_status(url=self.path, data=self.data_400_3, expected_status_code=400)
def testPost401_403_AuthServiceError(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.ERROR_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=[401, 403])
def testPost401_403_WrongAppToken(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.BAD_CODE_401_TOKEN)
_ = self.post_response_and_check_status(url=self.path, data=self.data_201, expected_status_code=[401, 403])
class ChangeRatingTestCase(LocalBaseTestCase):
"""
Тесты для /update_rating/
"""
def setUp(self):
super().setUp()
self.path = self.path_prefix + f'{self.profile.user_id}/update_rating/'
self.data_202_1 = {
'd_rating': 100,
}
self.data_202_2 = {
'd_rating': -100,
}
self.data_400_1 = {
}
def testPost201_OK(self):
_ = self.patch_response_and_check_status(url=self.path, data=self.data_202_1)
self.profile.refresh_from_db()
self.assertEqual(self.profile.rating, self.data_202_1['d_rating'], msg='Rating is not zero')
def testPost201_NegativeRating(self):
_ = self.patch_response_and_check_status(url=self.path, data=self.data_202_2)
self.profile.refresh_from_db()
self.assertEqual(self.profile.rating, 0, msg='Rating is not zero')
def testPost400_WrongJSON(self):
_ = self.patch_response_and_check_status(url=self.path, data=self.data_400_1, expected_status_code=400)
def testPost401_403_AuthServiceError(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.ERROR_TOKEN)
_ = self.patch_response_and_check_status(url=self.path, data=self.data_202_1, expected_status_code=[401, 403])
def testPost401_403_WrongAppToken(self):
self.token.set_error(self.token.ERRORS_KEYS.APP_AUTH, self.token.ERRORS.BAD_CODE_401_TOKEN)
_ = self.patch_response_and_check_status(url=self.path, data=self.data_202_1, expected_status_code=[401, 403])
| 38.39899
| 120
| 0.686308
| 1,009
| 7,603
| 4.819623
| 0.115956
| 0.065803
| 0.088834
| 0.122147
| 0.786346
| 0.767016
| 0.744602
| 0.714168
| 0.706971
| 0.705532
| 0
| 0.059733
| 0.20071
| 7,603
| 197
| 121
| 38.593909
| 0.740497
| 0.015652
| 0
| 0.471014
| 0
| 0
| 0.054948
| 0.020386
| 0
| 0
| 0
| 0
| 0.014493
| 1
| 0.23913
| false
| 0
| 0.014493
| 0
| 0.297101
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
5654f3300ee2a7069c310e3cf7b810ba7316de3b
| 2,276
|
py
|
Python
|
gwlfe/Output/Loading/StreamBankEros.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | null | null | null |
gwlfe/Output/Loading/StreamBankEros.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | 6
|
2018-07-24T22:46:28.000Z
|
2018-07-29T19:13:09.000Z
|
gwlfe/Output/Loading/StreamBankEros.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | 1
|
2018-07-24T18:22:01.000Z
|
2018-07-24T18:22:01.000Z
|
from numpy import zeros
from gwlfe.Memoization import memoize
from gwlfe.MultiUse_Fxns.Erosion.LE import LE
from gwlfe.MultiUse_Fxns.Erosion.LE import LE_f
@memoize
def StreamBankEros(NYrs, DaysMonth, Temp, InitSnow_0, Prec, NRur, NUrb, Area, CNI_0, AntMoist_0, Grow_0, CNP_0, Imper,
ISRR, ISRA, CN, UnsatStor_0, KV, PcntET, DayHrs, MaxWaterCap, SatStor_0, RecessionCoef, SeepCoef,
Qretention, PctAreaInfil, n25b, Landuse, TileDrainDensity, PointFlow, StreamWithdrawal,
GroundWithdrawal, NumAnimals, AvgAnimalWt, StreamFlowVolAdj, SedAFactor_0, AvKF, AvSlope, SedAAdjust,
StreamLength):
result = zeros((NYrs, 12))
le = LE(NYrs, DaysMonth, Temp, InitSnow_0, Prec, NRur, NUrb, Area, CNI_0, AntMoist_0, Grow_0, CNP_0, Imper,
ISRR, ISRA, CN, UnsatStor_0, KV, PcntET, DayHrs, MaxWaterCap, SatStor_0, RecessionCoef, SeepCoef,
Qretention, PctAreaInfil, n25b, Landuse, TileDrainDensity, PointFlow, StreamWithdrawal, GroundWithdrawal,
NumAnimals, AvgAnimalWt, StreamFlowVolAdj, SedAFactor_0, AvKF, AvSlope, SedAAdjust)
for Y in range(NYrs):
for i in range(12):
result[Y][i] = le[Y][i] * StreamLength * 1500 * 1.5
return result
@memoize
def StreamBankEros_f(NYrs, DaysMonth, Temp, InitSnow_0, Prec, NRur, NUrb, Area, CNI_0, AntMoist_0, Grow_0, CNP_0, Imper,
ISRR, ISRA, CN, UnsatStor_0, KV, PcntET, DayHrs, MaxWaterCap, SatStor_0, RecessionCoef, SeepCoef,
Qretention, PctAreaInfil, n25b, Landuse, TileDrainDensity, PointFlow, StreamWithdrawal,
GroundWithdrawal, NumAnimals, AvgAnimalWt, StreamFlowVolAdj, SedAFactor_0, AvKF, AvSlope,
SedAAdjust, StreamLength):
le = LE_f(NYrs, DaysMonth, Temp, InitSnow_0, Prec, NRur, NUrb, Area, CNI_0, AntMoist_0, Grow_0, CNP_0, Imper,
ISRR, ISRA, CN, UnsatStor_0, KV, PcntET, DayHrs, MaxWaterCap, SatStor_0, RecessionCoef, SeepCoef
, Qretention, PctAreaInfil, n25b, Landuse, TileDrainDensity, PointFlow, StreamWithdrawal, GroundWithdrawal
, NumAnimals, AvgAnimalWt, StreamFlowVolAdj, SedAFactor_0, AvKF, AvSlope, SedAAdjust)
return le * StreamLength * 1500 * 1.5
| 63.222222
| 120
| 0.689807
| 260
| 2,276
| 5.896154
| 0.253846
| 0.03392
| 0.044357
| 0.065232
| 0.854534
| 0.854534
| 0.854534
| 0.854534
| 0.804958
| 0.804958
| 0
| 0.031567
| 0.220562
| 2,276
| 35
| 121
| 65.028571
| 0.832582
| 0
| 0
| 0.233333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0.133333
| 0
| 0.266667
| 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
|
56633f4ae59f34d29c5cdc44d1d3850136e4c5bf
| 196
|
py
|
Python
|
python/msc/linear_algebra/ch1_c.py
|
gerritjvv/optimization_algorithms
|
eab2e8fff39eeab8d9be45af3dae3be1a62be3ba
|
[
"MIT"
] | null | null | null |
python/msc/linear_algebra/ch1_c.py
|
gerritjvv/optimization_algorithms
|
eab2e8fff39eeab8d9be45af3dae3be1a62be3ba
|
[
"MIT"
] | null | null | null |
python/msc/linear_algebra/ch1_c.py
|
gerritjvv/optimization_algorithms
|
eab2e8fff39eeab8d9be45af3dae3be1a62be3ba
|
[
"MIT"
] | null | null | null |
import numpy as np
A = np.array([
[1 / 3, 1 / 3, 1 / 3],
[1 / 3, 1 / 3, 1 / 3],
[1 / 3, 1 / 3, 1 / 3],
])
print("A^2")
print(A**2)
print("A^3")
print(A**3)
print("A^4")
print(A**4)
| 12.25
| 26
| 0.423469
| 43
| 196
| 1.930233
| 0.255814
| 0.216867
| 0.289157
| 0.385542
| 0.626506
| 0.216867
| 0.216867
| 0.216867
| 0.216867
| 0.216867
| 0
| 0.171429
| 0.285714
| 196
| 16
| 27
| 12.25
| 0.421429
| 0
| 0
| 0.25
| 0
| 0
| 0.045685
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.083333
| 0.5
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
566e7a57c0fefb414b09c66021c787a9ef91b2c6
| 1,664
|
py
|
Python
|
selfdrive/car/modules/CFG_module.py
|
vandreykiv/openpilot
|
34c495ad28c420854c59e824831124abac0cf1f4
|
[
"MIT"
] | null | null | null |
selfdrive/car/modules/CFG_module.py
|
vandreykiv/openpilot
|
34c495ad28c420854c59e824831124abac0cf1f4
|
[
"MIT"
] | null | null | null |
selfdrive/car/modules/CFG_module.py
|
vandreykiv/openpilot
|
34c495ad28c420854c59e824831124abac0cf1f4
|
[
"MIT"
] | null | null | null |
#operate with params
OP_PARAMS_PATH = "/data/params/"
def save_bool_param(param_name,param_value):
try:
real_param_value = 1 if param_value else 0
with open(OP_PARAMS_PATH+"/"+param_name, "w") as outfile:
outfile.write(f'{real_param_value}')
except IOError:
print("Failed to save "+param_name+" with value ",param_value)
def load_bool_param(param_name,param_def_value):
try:
with open(OP_PARAMS_PATH+"/"+param_name, 'r') as f:
for line in f:
value_saved = int(line)
#print("Reading Params ",param_name , "value", value_saved)
return True if value_saved == 1 else False
except IOError:
print("Initializing "+param_name+" with value ",param_def_value)
save_bool_param(param_name,param_def_value)
return param_def_value
def save_float_param(param_name,param_value):
try:
real_param_value = param_value * 1.0
with open(OP_PARAMS_PATH+"/"+param_name, "w") as outfile:
outfile.write(f'{real_param_value}')
except IOError:
print("Failed to save "+param_name+" with value ",real_param_value)
def load_float_param(param_name,param_def_value):
try:
with open(OP_PARAMS_PATH+"/"+param_name, 'r') as f:
for line in f:
value_saved = float(line)
#print("Reading Params ",param_name , "value", value_saved)
return value_saved * 1.0
except IOError:
print("Initializing "+param_name+" with value ",param_def_value*1.0)
save_float_param(param_name,param_def_value * 1.0)
return param_def_value * 1.0
| 35.404255
| 76
| 0.647236
| 236
| 1,664
| 4.245763
| 0.177966
| 0.143713
| 0.103792
| 0.113772
| 0.823353
| 0.799401
| 0.774451
| 0.702595
| 0.702595
| 0.620758
| 0
| 0.0104
| 0.248798
| 1,664
| 46
| 77
| 36.173913
| 0.7912
| 0.08113
| 0
| 0.457143
| 0
| 0
| 0.105574
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.114286
| false
| 0
| 0
| 0
| 0.228571
| 0.114286
| 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
|
8e7efe9294983e0f9b5270c6293ebad94f83281c
| 5,251
|
py
|
Python
|
pyelit/Geoparsing/preprocessing_gazetteer.py
|
Rickecr/PyElit
|
83b7d5952b587388b119f7f42738cf69ff53a892
|
[
"MIT"
] | 2
|
2020-06-20T15:30:57.000Z
|
2020-07-02T16:14:34.000Z
|
pyelit/Geoparsing/preprocessing_gazetteer.py
|
Rickecr/PyElit
|
83b7d5952b587388b119f7f42738cf69ff53a892
|
[
"MIT"
] | 21
|
2019-10-22T12:38:29.000Z
|
2020-07-24T22:24:35.000Z
|
pyelit/Geoparsing/preprocessing_gazetteer.py
|
richecr/PyElit
|
83b7d5952b587388b119f7f42738cf69ff53a892
|
[
"MIT"
] | 2
|
2019-10-18T10:39:09.000Z
|
2020-07-03T19:22:59.000Z
|
from plpygis import Geometry
import csv
import sys
# Increasing the limit size of the CSV.
maxInt = sys.maxsize
csv.field_size_limit(maxInt)
def convert_geometry_point(geometry):
"""
Pre-processing function that turns a code into geometry(Point)
for a list of floats.
Params:
----------
geometry : String
- String that represents a geometric coordinate of a point.
Return:
----------
coord : List
- List of cordenates.
"""
g = Geometry(geometry)
coord = g.geojson["coordinates"]
coord.reverse()
return coord
def convert_geometry_polygon(geometry):
"""
Pre-processing function that turns a code into geometry(polygon)
for a list of floats.
Params:
----------
geometry : String
- String that represents a geometric coordinate of a polygon.
Return:
----------
coord : List
- List of cordenates.
"""
g = Geometry(geometry)
coord = g.geojson["coordinates"]
saida = []
for c in coord[0]:
c.reverse()
saida.append(c)
return saida
def convert_feature(geometry):
"""
Pre-processing function that turns a code into geometry(Feature)
for a list of floats.
Params:
----------
geometry : String
- String that represents a geometric coordinate of a feature.
Return:
----------
coord : List
- List of cordenates.
"""
g = Geometry(geometry)
coord = g.geojson["coordinates"][0][0]
saida = []
for c in coord:
c.reverse()
saida.append(c)
return saida
def polygons(localidade="cg"):
"""
Pre-processing function that writes polygon address data to another
file with normalized coordinates.
Params:
----------
localidade : String
- String representing the city/state("cg", "jp" ou "pb").
"""
if localidade == "cg":
arq = csv.DictReader(
open("./gazetteer/features_campina_ln.csv", "r", encoding="utf-8")
)
elif localidade == "jp":
arq = csv.DictReader(
open("./gazetteer/features_jp_ln.csv", "r", encoding="utf-8")
)
elif localidade == "pb":
arq = csv.DictReader(
open("./gazetteer/features_paraiba_ln.csv", "r", encoding="utf-8")
)
fields = ["osm_id", "fclass", "name", "type", "coordenates"]
f = csv.writer(
open("./gazetteer/processados/" + localidade + "_ln.csv", "w", encoding="utf-8")
)
f.writerow(fields)
for p in arq:
coord = convert_geometry_polygon(p["geometry"])
t = [
p["osm_id"].__str__(),
p["fclass"].__str__(),
p["name"].__str__(),
p["type"].__str__(),
coord,
]
f.writerow(t)
def points(localidade="cg"):
"""
Pre-processing function that writes point address data to another
file with normalized coordinates.
Params:
----------
localidade : String
- String representing the city/state("cg", "jp" ou "pb").
"""
if localidade == "cg":
arq = csv.DictReader(
open("./gazetteer/features_campina_pt.csv", "r", encoding="utf-8")
)
elif localidade == "jp":
arq = csv.DictReader(
open("./gazetteer/features_jp_pt.csv", "r", encoding="utf-8")
)
elif localidade == "pb":
arq = csv.DictReader(
open("./gazetteer/features_paraiba_pt.csv", "r", encoding="utf-8")
)
fields = ["osm_id", "fclass", "name", "type", "coordenates"]
f = csv.writer(
open("./gazetteer/processados/" + localidade + "_pt.csv", "w", encoding="utf-8")
)
f.writerow(fields)
for p in arq:
coord = convert_geometry_point(p["geometry"])
t = [
p["osm_id"].__str__(),
p["fclass"].__str__(),
p["name"].__str__(),
p["type"].__str__(),
coord,
]
f.writerow(t)
def features(localidade="cg"):
"""
Pre-processing function that writes feature address data to another
file with normalized coordinates.
Params:
----------
localidade : String
- String representing the city/state("cg", "jp" ou "pb").
"""
if localidade == "cg":
arq = csv.DictReader(open("./gazetteer/features_campina.csv", mode="r"))
elif localidade == "jp":
arq = csv.DictReader(open("./gazetteer/features_jp.csv", mode="r"))
elif localidade == "pb":
arq = csv.DictReader(open("./gazetteer/features_paraiba.csv", mode="r"))
fields = ["osm_id", "fclass", "name", "type", "coordenates"]
f = csv.writer(
open("./gazetteer/processados/" + localidade + ".csv", "w", encoding="utf-8")
)
f.writerow(fields)
for p in arq:
coord = convert_feature(p["geometry"])
t = [
p["osm_id"].__str__(),
p["fclass"].__str__(),
p["name"].__str__(),
p["type"].__str__(),
coord,
]
f.writerow(t)
def main():
locs = ["cg", "jp", "pb"]
for loc in locs:
points(localidade=loc)
for loc in locs:
polygons(localidade=loc)
for loc in locs:
features(localidade=loc)
# main()
| 25.004762
| 88
| 0.557227
| 592
| 5,251
| 4.802365
| 0.16723
| 0.054872
| 0.050651
| 0.063313
| 0.868097
| 0.851214
| 0.832219
| 0.786845
| 0.760113
| 0.760113
| 0
| 0.003205
| 0.286993
| 5,251
| 209
| 89
| 25.124402
| 0.756143
| 0.263378
| 0
| 0.571429
| 0
| 0
| 0.187916
| 0.10061
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| false
| 0
| 0.026786
| 0
| 0.116071
| 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
|
8e811cfe001772ce5e0716ee799d1650e592c7b6
| 37
|
py
|
Python
|
ssod/models/__init__.py
|
huimlight/SoftTeacher
|
97064fbcce1ab87b40977544ba7a9c488274d66f
|
[
"MIT"
] | 604
|
2021-08-09T03:00:35.000Z
|
2022-03-31T13:43:14.000Z
|
ssod/models/__init__.py
|
huimlight/SoftTeacher
|
97064fbcce1ab87b40977544ba7a9c488274d66f
|
[
"MIT"
] | 158
|
2021-08-29T07:58:22.000Z
|
2022-03-31T15:23:27.000Z
|
ssod/models/__init__.py
|
huimlight/SoftTeacher
|
97064fbcce1ab87b40977544ba7a9c488274d66f
|
[
"MIT"
] | 92
|
2021-08-24T07:29:37.000Z
|
2022-03-29T03:01:34.000Z
|
from .soft_teacher import SoftTeacher
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 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
|
8e9e8ccd91d7a68f4dc56a99e5a63c5b75c9bef2
| 79
|
py
|
Python
|
sacrerouge/datasets/chaganty2018/__init__.py
|
danieldeutsch/decomposed-rouge
|
0d723be8e3359f0bdcc9c7940336800895e46dbb
|
[
"Apache-2.0"
] | 81
|
2020-07-10T15:45:08.000Z
|
2022-03-30T12:19:11.000Z
|
sacrerouge/datasets/chaganty2018/__init__.py
|
danieldeutsch/decomposed-rouge
|
0d723be8e3359f0bdcc9c7940336800895e46dbb
|
[
"Apache-2.0"
] | 29
|
2020-08-03T21:50:45.000Z
|
2022-02-23T14:34:16.000Z
|
sacrerouge/datasets/chaganty2018/__init__.py
|
danieldeutsch/decomposed-rouge
|
0d723be8e3359f0bdcc9c7940336800895e46dbb
|
[
"Apache-2.0"
] | 7
|
2020-08-14T09:54:08.000Z
|
2022-03-30T12:19:25.000Z
|
from sacrerouge.datasets.chaganty2018.subcommand import Chaganty2018Subcommand
| 39.5
| 78
| 0.911392
| 7
| 79
| 10.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106667
| 0.050633
| 79
| 1
| 79
| 79
| 0.853333
| 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
|
8edc43a2ce4d11a60e7b4a7bfe9bba3ddce397b2
| 14,581
|
py
|
Python
|
CT_TIQUA/python_scripts/FSL_FLIRT.py
|
brosscle/CT-TIQUA
|
d56104cd60ffa962afae9506b6bc9d4afc0d0de9
|
[
"Apache-2.0"
] | null | null | null |
CT_TIQUA/python_scripts/FSL_FLIRT.py
|
brosscle/CT-TIQUA
|
d56104cd60ffa962afae9506b6bc9d4afc0d0de9
|
[
"Apache-2.0"
] | null | null | null |
CT_TIQUA/python_scripts/FSL_FLIRT.py
|
brosscle/CT-TIQUA
|
d56104cd60ffa962afae9506b6bc9d4afc0d0de9
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 17 19:59:31 2020
@author: cbrossard
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 9 18:05:46 2020
@author: cbrossard
"""
import bids
from nipype.interfaces import fsl
from multiprocessing import Pool
from shutil import copyfile
#from cmtklib.interfaces.fsl import FSLCreateHD
def Apply_FLIRT(DataPath, ROIPath, OutDataPath, OutROIPath, n_jobs, OtherPath="", OutOtherPath = "", Ref_path=""):
layout = bids.BIDSLayout(DataPath, validate = False)
layout_df = layout.to_df()
sub_df = layout_df[(layout_df.extension == 'nii.gz')]
ROIlayout = bids.BIDSLayout(ROIPath, validate = False)
ROIlayout_df = ROIlayout.to_df()
ROI_sub_df = ROIlayout_df[(ROIlayout_df.extension == 'nii.gz')]
Otherlayout = bids.BIDSLayout(OtherPath, validate = False)
Otherlayout_df = Otherlayout.to_df()
Other_sub_df = Otherlayout_df[(Otherlayout_df.extension == 'nii')]
if Ref_path != "":
Reflayout = bids.BIDSLayout(Ref_path, validate = False)
Reflayout_df = Reflayout.to_df()
Ref_sub_df = Reflayout_df[(Reflayout_df.extension == 'nii.gz')]
paths = sub_df.path
#ref_path =paths[sub_df.index[0]] #index du premier fichier.
#ref_path = paths[sub_df[(sub_df.subject=='Patient01') & (sub_df.session=='D00')].index[0]]
#ref_path = '/media/cbrossard/ClementBackUp1/Database_CT_Radiomic_Test/Database_CT_Radiomic_Test/BIDS_Radiomic_TBI3/derivatives/Masked_Images/sub-P1_ses-J0_CraneSansIV-masked.nii.gz'
#ref_path = '/media/cbrossard/ClementBackUp1/Database_CT_Radiomic_Test/Database_CT_Radiomic_Test/BIDS_Radiomic_TBI/derivatives/FLIRT_on_Images_masked/sub-P3_ses-J1_masked_seg.nii.gz'
pool = Pool(n_jobs)
for index, row in sub_df.iterrows():
#if row.subject =="P26" and row.session=='J3':
flt = fsl.FLIRT()
flt.inputs.in_file = row.path
#ref_path = layout.get(subject = row.subject, session= 'J0', return_type='filename', extension='nii.gz')
ref_path = Reflayout.get(subject = row.subject, session= row.session, return_type='filename', extension='nii.gz')
flt.inputs.reference = ref_path[0]
outfilename = 'sub-' + row.subject + '_ses-' + row.session + '_' + row.suffix + '_registered.nii.gz'
flt.inputs.out_file = OutDataPath+outfilename
flt.inputs.out_matrix_file = OutROIPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-matrix.mat'
flt.inputs.dof = 12
flt.inputs.bins = 256
#flt.inputs.cost_func = 'leastsq'
flt.inputs.cost_func = 'normcorr'
flt.inputs.interp = 'nearestneighbour'
#flt.inputs.interp = 'trilinear'
flt.inputs.searchr_x = [-180, 180]
flt.inputs.searchr_y = [-180, 180]
flt.inputs.searchr_z = [-180, 180]
copyfile(row.path.replace(".nii.gz", ".json"),OutDataPath+outfilename.replace(".nii.gz", ".json"))
pool.apply_async(flt.run)
pool.close()
pool.join()
pool = Pool(n_jobs)
for index, row in ROI_sub_df.iterrows():
#if row.subject =="P25" and row.session=='J3':
#if (row.subject in {'Patient01', 'Patient02'}) or (row.subject=='Patient05' and row.session == 'D03') or (row.subject=='Patient06' and row.session == 'D01'):
applyxfm = fsl.ApplyXFM()
applyxfm.inputs.in_matrix_file = OutROIPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-matrix.mat'
applyxfm.inputs.in_file = row.path
applyxfm.inputs.out_file = OutROIPath+'sub-' + row.subject + '_ses-' + row.session + '_' + row.suffix + '_registered.nii.gz'
#ref_path = ROIlayout.get(subject = row.subject, session= 'J0', return_type='filename', extension='nii.gz')
ref_path = Reflayout.get(subject = row.subject, session= row.session, return_type='filename', extension='nii.gz')
applyxfm.inputs.reference = ref_path[0]
#applyxfm.inputs.reference = row.path
applyxfm.inputs.apply_xfm = True
applyxfm.inputs.uses_qform=False
applyxfm.inputs.no_resample = False
applyxfm.inputs.interp = 'nearestneighbour'
pool.apply_async(applyxfm.run)
pool.close()
pool.join()
if OtherPath != "" and OutOtherPath != "":
pool = Pool(n_jobs)
for index, row in Other_sub_df.iterrows():
#if row.subject =="P25" and row.session=='J3':
#if (row.subject in {'Patient01', 'Patient02'}) or (row.subject=='Patient05' and row.session == 'D03') or (row.subject=='Patient06' and row.session == 'D01'):
applyxfm = fsl.ApplyXFM()
applyxfm.inputs.in_matrix_file = OutROIPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-matrix.mat'
applyxfm.inputs.in_file = row.path
applyxfm.inputs.out_file = OutOtherPath+'sub-' + row.subject + '_ses-' + row.session + '_' + row.suffix + '_registered.nii.gz'
#ref_path = Otherlayout.get(subject = row.subject, session= 'J0', return_type='filename', extension='nii.gz')
ref_path = Reflayout.get(subject = row.subject, session= row.session, return_type='filename', extension='nii.gz')
applyxfm.inputs.reference = ref_path[0]
#applyxfm.inputs.reference = row.path
applyxfm.inputs.apply_xfm = True
applyxfm.inputs.uses_qform=False
applyxfm.inputs.no_resample = False
applyxfm.inputs.interp = 'nearestneighbour'
#applyxfm.run()
pool.apply_async(applyxfm.run)
pool.close()
pool.join()
def Apply_FLIRT_Atlas(DataPath, Atlas, Template, OutAtlasesPath, OutTemplatePath, n_jobs):
layout = bids.BIDSLayout(DataPath, validate = False)
layout_df = layout.to_df()
sub_df = layout_df[(layout_df.extension == 'nii.gz')]
subsub_df = sub_df[(sub_df.session == 'J0')]
#ref_path = '/media/cbrossard/ClementBackUp1/Database_CT_Radiomic_Test/Database_CT_Radiomic_Test/BIDS_Radiomic_TBI/derivatives/FLIRT_on_Images_masked/sub-P3_ses-J1_masked_seg.nii.gz'
pool = Pool(n_jobs)
for index, row in subsub_df.iterrows():
#if (row.subject in {'Patient01', 'Patient02'}) or (row.subject=='Patient05' and row.session == 'D03') or (row.subject=='Patient0' and row.session == 'D01'):
#if row.subject not in {'P01', 'P02'}:
#if row.subject in {'P09'}:
flt = fsl.FLIRT()
print(row)
flt.inputs.in_file = Template
flt.inputs.reference = row.path
outfilename = 'sub-' + row.subject + '_ses-' + row.session + '_TemplateRegistered.nii.gz'
flt.inputs.out_file = OutTemplatePath+outfilename
flt.inputs.out_matrix_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-matrix.mat'
flt.inputs.dof = 7
flt.inputs.bins = 256
#flt.inputs.cost_func = 'leastsq'
flt.inputs.cost_func = 'normcorr'
flt.inputs.interp = 'nearestneighbour'
flt.inputs.searchr_x = [-180, 180]
flt.inputs.searchr_y = [-180, 180]
flt.inputs.searchr_z = [-180, 180]
#copyfile(row.path.replace(".nii.gz", ".json"),OutDataPath+outfilename.replace(".nii.gz", ".json"))
pool.apply_async(flt.run)
pool.close()
pool.join()
pool = Pool(n_jobs)
for index, row in subsub_df.iterrows():
#if row.subject not in {'P01', 'P02'}:
#if row.subject in {'P09'}:
print(row)
applyxfm = fsl.ApplyXFM()
applyxfm.inputs.in_matrix_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-matrix.mat'
applyxfm.inputs.in_file = Atlas
applyxfm.inputs.out_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_AtlasRegistered.nii.gz'
#ref_path = ROIlayout.get(subject = row.subject, session= 'J0', return_type='filename', extension='nii.gz')
applyxfm.inputs.reference = row.path
applyxfm.inputs.apply_xfm = True
applyxfm.inputs.interp = 'nearestneighbour'
pool.apply_async(applyxfm.run)
#applyxfm.run()
pool.close()
pool.join()
# def Apply_FNIRT_Atlas(DataPath, Atlas, Template, OutAtlasesPath, OutTemplatePath, n_jobs):
# layout = bids.BIDSLayout(DataPath, validate = False)
# layout_df = layout.to_df()
# sub_df = layout_df[(layout_df.extension == 'nii.gz')]
# subsub_df = sub_df[(sub_df.session == 'J0')]
# #ref_path = '/media/cbrossard/ClementBackUp1/Database_CT_Radiomic_Test/Database_CT_Radiomic_Test/BIDS_Radiomic_TBI/derivatives/FLIRT_on_Images_masked/sub-P3_ses-J1_masked_seg.nii.gz'
# # pool = Pool(n_jobs)
# for index, row in subsub_df.iterrows():
# #if (row.subject in {'Patient01', 'Patient02'}) or (row.subject=='Patient05' and row.session == 'D03') or (row.subject=='Patient0' and row.session == 'D01'):
# if row.subject == 'P01':
# fnt = fsl.FNIRT()
# fnt.inputs.in_file = Template
# fnt.inputs.ref_file = row.path
# fnt.inputs.warped_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
# fnt.run()
# #pool.apply_async(fnt.run)
# # pool.close()
# # pool.join()
# # pool = Pool(n_jobs)
# for index, row in subsub_df.iterrows():
# if row.subject == 'P01':
# applywarp = fsl.ApplyWarp()
# applywarp.inputs.field_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
# applywarp.inputs.in_file = Template
# applywarp.inputs.out_file = OutTemplatePath+'sub-' + row.subject + '_ses-' + row.session + '_TemplateRegistered.nii.gz'
# applywarp.inputs.ref_file = row.path
# applywarp.inputs.interp = 'nn'
# applywarp.run()
# #pool.apply_async(applywarp.run)
# # pool.close()
# # pool.join()
# # pool = Pool(n_jobs)
# for index, row in subsub_df.iterrows():
# if row.subject == 'P01':
# applywarp = fsl.ApplyWarp()
# applywarp.inputs.field_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
# applywarp.inputs.in_file = Atlas
# applywarp.inputs.out_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_AtlasRegistered.nii.gz'
# applywarp.inputs.ref_file = row.path
# applywarp.inputs.interp = 'nn'
# #pool.apply_async(applywarp.run)
# applywarp.run()
# # pool.close()
# # pool.join()
def Apply_FNIRT(DataPath, AtlasesPath, TemplatesPath, OutAtlasesPath, OutTemplatePath, n_jobs):
layout = bids.BIDSLayout(DataPath, validate = False)
layout_df = layout.to_df()
sub_df = layout_df[(layout_df.extension == 'nii.gz')]
subsub_df = sub_df[(sub_df.session == 'J0')]
Template_layout = bids.BIDSLayout(TemplatesPath, validate = False)
Template_layout_df = Template_layout.to_df()
template_sub_df = Template_layout_df[(Template_layout_df.extension == 'nii.gz')]
template_subsub_df = template_sub_df[(template_sub_df.session == 'J0')]
Atlas_layout = bids.BIDSLayout(AtlasesPath, validate = False)
Atlas_layout_df = Atlas_layout.to_df()
atlas_sub_df = Atlas_layout_df[(Atlas_layout_df.extension == 'nii.gz')]
atlas_subsub_df = atlas_sub_df[(atlas_sub_df.session == 'J0')]
# pool = Pool(n_jobs)
for index, row in subsub_df.iterrows():
#if (row.subject in {'Patient01', 'Patient02'}) or (row.subject=='Patient05' and row.session == 'D03') or (row.subject=='Patient0' and row.session == 'D01'):
if row.subject == 'P01':
fnt = fsl.FNIRT()
tmp = template_subsub_df[(template_subsub_df.subject==row.subject)]
fnt.inputs.in_file = tmp.path[tmp.index[0]]
fnt.inputs.ref_file = row.path
fnt.inputs.field_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
fnt.inputs.warped_file = OutTemplatePath+'sub-' + row.subject + '_ses-' + row.session + '_MaskedAtlasRegistered.nii.gz'
fnt.run()
#pool.apply_async(fnt.run)
# pool.close()
# pool.join()
# pool = Pool(n_jobs)
# for index, row in subsub_df.iterrows():
# if row.subject == 'P01':
# applywarp = fsl.ApplyWarp()
# tmp = template_subsub_df[(template_subsub_df.subject==row.subject)]
# applywarp.inputs.field_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
# applywarp.inputs.in_file = tmp.path[tmp.index[0]]
# applywarp.inputs.out_file = OutTemplatePath+'sub-' + row.subject + '_ses-' + row.session + '_TemplateRegistered.nii.gz'
# applywarp.inputs.ref_file = row.path
# applywarp.inputs.interp = 'nn'
# applywarp.run()
# #pool.apply_async(applywarp.run)
# pool.close()
# pool.join()
# pool = Pool(n_jobs)
for index, row in subsub_df.iterrows():
if row.subject == 'P01':
applywarp = fsl.ApplyWarp()
atl = atlas_subsub_df[(atlas_subsub_df.subject==row.subject)]
applywarp.inputs.field_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_transform-field.nii.gz'
applywarp.inputs.in_file = atl.path[atl.index[0]]
applywarp.inputs.out_file = OutAtlasesPath+'sub-' + row.subject + '_ses-' + row.session + '_AtlasRegistered.nii.gz'
applywarp.inputs.ref_file = row.path
applywarp.inputs.interp = 'nn'
#pool.apply_async(applywarp.run)
applywarp.run()
# pool.close()
# pool.join()
| 45.565625
| 188
| 0.606543
| 1,721
| 14,581
| 4.948867
| 0.101685
| 0.069273
| 0.032054
| 0.039451
| 0.843842
| 0.810614
| 0.797816
| 0.795233
| 0.762358
| 0.733005
| 0
| 0.018065
| 0.255881
| 14,581
| 320
| 189
| 45.565625
| 0.766912
| 0.38996
| 0
| 0.539568
| 0
| 0
| 0.075545
| 0.028932
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021583
| false
| 0
| 0.028777
| 0
| 0.05036
| 0.014388
| 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
|
d904f6a1115dd1c95dd7d546a71636ca41b6621e
| 45
|
py
|
Python
|
src/secret_key.py
|
bpollakw/dnarchive
|
3ffaa93a4ae5fa6443239ce2f083f051acf4f28f
|
[
"MIT"
] | null | null | null |
src/secret_key.py
|
bpollakw/dnarchive
|
3ffaa93a4ae5fa6443239ce2f083f051acf4f28f
|
[
"MIT"
] | null | null | null |
src/secret_key.py
|
bpollakw/dnarchive
|
3ffaa93a4ae5fa6443239ce2f083f051acf4f28f
|
[
"MIT"
] | null | null | null |
import os
print os.urandom(24).encode('hex')
| 15
| 34
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d913c4a857678c09526f9fc37dbd58e3dc9a1bf6
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py
|
Python
|
mhd/python/paraview_scripts/video_maker_bu.py
|
FinMacDov/AMR_code
|
36e25fab72cd86cdda25e4e70ea3afd584b7dbfd
|
[
"MIT"
] | null | null | null |
mhd/python/paraview_scripts/video_maker_bu.py
|
FinMacDov/AMR_code
|
36e25fab72cd86cdda25e4e70ea3afd584b7dbfd
|
[
"MIT"
] | 1
|
2018-08-14T12:29:07.000Z
|
2018-08-14T12:29:07.000Z
|
mhd/python/paraview_scripts/video_maker_bu.py
|
FinMacDov/AMR_code
|
36e25fab72cd86cdda25e4e70ea3afd584b7dbfd
|
[
"MIT"
] | null | null | null |
# trace generated using paraview version 5.5.2
#### import the simple module from the paraview
from paraview.simple import *
#### disable automatic camera reset on 'Show'
paraview.simple._DisableFirstRenderCameraReset()
def render_view_func():
renderView = CreateView('RenderView')
renderView.ViewSize = [969, 415]
renderView.AxesGrid = 'GridAxes3DActor'
renderView.StereoType = 0
renderView.Background = [0.32, 0.34, 0.43]
renderView.OSPRayMaterialLibrary = materialLibrary1
# init the 'GridAxes3DActor' selected for 'AxesGrid'
renderView.AxesGrid.Visibility = 1
renderView.AxesGrid.YTitle = ' Y Axis'
renderView.AxesGrid.XTitleFontFile = ''
renderView.AxesGrid.XTitleBold = 1
renderView.AxesGrid.XTitleFontSize = 15
renderView.AxesGrid.YTitleFontFile = ''
renderView.AxesGrid.YTitleBold = 1
renderView.AxesGrid.YTitleFontSize = 15
renderView.AxesGrid.ZTitleFontFile = ''
renderView.AxesGrid.ZTitleBold = 1
renderView.AxesGrid.ZTitleFontSize = 15
renderView.AxesGrid.XLabelFontFile = ''
renderView.AxesGrid.XLabelBold = 1
renderView.AxesGrid.XLabelFontSize = 15
renderView.AxesGrid.YLabelFontFile = ''
renderView.AxesGrid.YLabelBold = 1
renderView.AxesGrid.YLabelFontSize = 15
renderView.AxesGrid.ZLabelFontFile = ''
renderView.AxesGrid.ZLabelBold = 1
renderView.AxesGrid.ZLabelFontSize = 15
return renderView
test = [render_view_func(), render_view_func(), render_view_func()]
# loads data
# create a new 'XML Unstructured Grid Reader'
jet_B30_V30_0 = XMLUnstructuredGridReader(FileName=['/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0000.vtu', '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0001.vtu', '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0002.vtu', '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0003.vtu', '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0004.vtu', '/run/user/1001/gvfs/smb-share:server=uosfstore.shef.ac.uk,share=shared/mhd_jet1/User/smp16fm/sims/jet/jet_B30_V30/jet_B30_V30_0005.vtu', 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# data names
jet_B30_V30_0.CellArrayStatus = ['rho', 'v1', 'v2', 'v3', 'p', 'b1', 'b2', 'b3', 'trp1', 'Te', 'Alfv', 'divB', 'beta', 'schrho', 'cs']
# get animation scene
# Dont know what this does, something similar to below
animationScene1 = GetAnimationScene()
# update animation scene based on data timesteps
# This dispays the nb of timesteps
animationScene1.UpdateAnimationUsingDataTimeSteps()
renderView1 = CreateView('RenderView')
renderView1.ViewSize = [969, 415]
renderView1.AxesGrid = 'GridAxes3DActor'
renderView1.StereoType = 0
renderView1.Background = [0.32, 0.34, 0.43]
renderView1.OSPRayMaterialLibrary = materialLibrary1
# init the 'GridAxes3DActor' selected for 'AxesGrid'
renderView1.AxesGrid.Visibility = 1
renderView1.AxesGrid.YTitle = ' Y Axis'
renderView1.AxesGrid.XTitleFontFile = ''
renderView1.AxesGrid.XTitleBold = 1
renderView1.AxesGrid.XTitleFontSize = 15
renderView1.AxesGrid.YTitleFontFile = ''
renderView1.AxesGrid.YTitleBold = 1
renderView1.AxesGrid.YTitleFontSize = 15
renderView1.AxesGrid.ZTitleFontFile = ''
renderView1.AxesGrid.ZTitleBold = 1
renderView1.AxesGrid.ZTitleFontSize = 15
renderView1.AxesGrid.XLabelFontFile = ''
renderView1.AxesGrid.XLabelBold = 1
renderView1.AxesGrid.XLabelFontSize = 15
renderView1.AxesGrid.YLabelFontFile = ''
renderView1.AxesGrid.YLabelBold = 1
renderView1.AxesGrid.YLabelFontSize = 15
renderView1.AxesGrid.ZLabelFontFile = ''
renderView1.AxesGrid.ZLabelBold = 1
renderView1.AxesGrid.ZLabelFontSize = 15
# uncomment following to set a specific view size
# renderView1.ViewSize = [1910, 1025]
# displays the data in paraview
jet_B30_V30_0Display = Show(jet_B30_V30_0, renderView1)
# trace defaults for the display properties.
jet_B30_V30_0Display.Representation = 'Surface'
jet_B30_V30_0Display.ColorArrayName = [None, '']
jet_B30_V30_0Display.OSPRayScaleFunction = 'PiecewiseFunction'
jet_B30_V30_0Display.SelectOrientationVectors = 'None'
jet_B30_V30_0Display.ScaleFactor = 899999948.8000001
jet_B30_V30_0Display.SelectScaleArray = 'None'
jet_B30_V30_0Display.GlyphType = 'Arrow'
jet_B30_V30_0Display.GlyphTableIndexArray = 'None'
jet_B30_V30_0Display.GaussianRadius = 44999997.44
jet_B30_V30_0Display.SetScaleArray = [None, '']
jet_B30_V30_0Display.ScaleTransferFunction = 'PiecewiseFunction'
jet_B30_V30_0Display.OpacityArray = [None, '']
jet_B30_V30_0Display.OpacityTransferFunction = 'PiecewiseFunction'
jet_B30_V30_0Display.DataAxesGrid = 'GridAxesRepresentation'
jet_B30_V30_0Display.SelectionCellLabelFontFile = ''
jet_B30_V30_0Display.SelectionPointLabelFontFile = ''
jet_B30_V30_0Display.PolarAxes = 'PolarAxesRepresentation'
jet_B30_V30_0Display.ScalarOpacityUnitDistance = 167845592.2061122
# init the 'GridAxesRepresentation' selected for 'DataAxesGrid'
jet_B30_V30_0Display.DataAxesGrid.XTitleFontFile = ''
jet_B30_V30_0Display.DataAxesGrid.YTitleFontFile = ''
jet_B30_V30_0Display.DataAxesGrid.ZTitleFontFile = ''
jet_B30_V30_0Display.DataAxesGrid.XLabelFontFile = ''
jet_B30_V30_0Display.DataAxesGrid.YLabelFontFile = ''
jet_B30_V30_0Display.DataAxesGrid.ZLabelFontFile = ''
# hide data in view
Hide(jet_B30_V30_0, renderView1)
#--------------------------------
# create a new 'Clip'
# !You will want to add file name for input!
clip1 = Clip(Input=jet_B30_V30_0)
clip1.ClipType = 'Plane'
clip1.Scalars = ['CELLS', 'Alfv']
# Clipping sdetting that we weant to change
clip1.ClipType.Origin = [0.0, 2000000000.0, 0.0]
clip1.ClipType.Normal = [0.0, 1.0, 0.0]
# Hides the plane outlines
Hide3DWidgets(proxy=clip1.ClipType)
# update the view to ensure updated data information
renderView1.Update()
# makes sure three panels are the same size
size1 = 1.0/3.0
size2 = 0.5
# get the material library
materialLibrary1 = GetMaterialLibrary()
# get layout
layout1 = GetLayout()
# place view in the layout
layout1.AssignView(0, renderView1)
# split cell
layout1.SplitHorizontal(0, 0.5)
# set active view
SetActiveView(None)
# split cell
layout1.SplitHorizontal(2, 0.5)
# Create a new 'Render View'
renderView2 = CreateView('RenderView')
renderView2.ViewSize = [640, 480]
renderView2.AxesGrid = 'GridAxes3DActor'
renderView2.StereoType = 0
renderView2.Background = [0.32, 0.34, 0.43]
renderView2.OSPRayMaterialLibrary = materialLibrary1
# init the 'GridAxes3DActor' selected for 'AxesGrid'
renderView2.AxesGrid.Visibility = 1
renderView2.AxesGrid.YTitle = ' Y Axis'
renderView2.AxesGrid.XTitleFontFile = ''
renderView2.AxesGrid.XTitleBold = 1
renderView2.AxesGrid.XTitleFontSize = 15
renderView2.AxesGrid.YTitleFontFile = ''
renderView2.AxesGrid.YTitleBold = 1
renderView2.AxesGrid.YTitleFontSize = 15
renderView2.AxesGrid.ZTitleFontFile = ''
renderView2.AxesGrid.ZTitleBold = 1
renderView2.AxesGrid.ZTitleFontSize = 15
renderView2.AxesGrid.XLabelFontFile = ''
renderView2.AxesGrid.XLabelBold = 1
renderView2.AxesGrid.XLabelFontSize = 15
renderView2.AxesGrid.YLabelFontFile = ''
renderView2.AxesGrid.YLabelBold = 1
renderView2.AxesGrid.YLabelFontSize = 15
renderView2.AxesGrid.ZLabelFontFile = ''
renderView2.AxesGrid.ZLabelBold = 1
renderView2.AxesGrid.ZLabelFontSize = 15
# place view in the layout
layout1.AssignView(5, renderView2)
# set active view
SetActiveView(None)
# Create a new 'Render View'
renderView3 = CreateView('RenderView')
renderView3.ViewSize = [235, 415]
renderView3.AxesGrid = 'GridAxes3DActor'
renderView3.StereoType = 0
renderView3.Background = [0.32, 0.34, 0.43]
renderView3.OSPRayMaterialLibrary = materialLibrary1
# init the 'GridAxes3DActor' selected for 'AxesGrid'
renderView3.AxesGrid.Visibility = 1
renderView3.AxesGrid.YTitle = ' Y Axis'
renderView3.AxesGrid.XTitleFontFile = ''
renderView3.AxesGrid.XTitleBold = 1
renderView3.AxesGrid.XTitleFontSize = 15
renderView3.AxesGrid.YTitleFontFile = ''
renderView3.AxesGrid.YTitleBold = 1
renderView3.AxesGrid.YTitleFontSize = 15
renderView3.AxesGrid.ZTitleFontFile = ''
renderView3.AxesGrid.ZTitleBold = 1
renderView3.AxesGrid.ZTitleFontSize = 15
renderView3.AxesGrid.XLabelFontFile = ''
renderView3.AxesGrid.XLabelBold = 1
renderView3.AxesGrid.XLabelFontSize = 15
renderView3.AxesGrid.YLabelFontFile = ''
renderView3.AxesGrid.YLabelBold = 1
renderView3.AxesGrid.YLabelFontSize = 15
renderView3.AxesGrid.ZLabelFontFile = ''
renderView3.AxesGrid.ZLabelBold = 1
renderView3.AxesGrid.ZLabelFontSize = 15
# place view in the layout
layout1.AssignView(6, renderView3)
# set active view
SetActiveView(renderView1)
# splits the frames into three
layout1.SetSplitFraction(0, size1)
layout1.SetSplitFraction(2, size2)
# find source
clip1 = FindSource('Clip1')
# set active source
SetActiveSource(clip1)
# show data in view
clip1Display = Show(clip1, renderView1)
# trace defaults for the display properties.
clip1Display.Representation = 'Surface'
clip1Display.ColorArrayName = [None, '']
clip1Display.OSPRayScaleFunction = 'PiecewiseFunction'
clip1Display.SelectOrientationVectors = 'None'
clip1Display.ScaleFactor = 200000000.0
clip1Display.SelectScaleArray = 'None'
clip1Display.GlyphType = 'Arrow'
clip1Display.GlyphTableIndexArray = 'None'
clip1Display.GaussianRadius = 10000000.0
clip1Display.SetScaleArray = [None, '']
clip1Display.ScaleTransferFunction = 'PiecewiseFunction'
clip1Display.OpacityArray = [None, '']
clip1Display.OpacityTransferFunction = 'PiecewiseFunction'
clip1Display.DataAxesGrid = 'GridAxesRepresentation'
clip1Display.SelectionCellLabelFontFile = ''
clip1Display.SelectionPointLabelFontFile = ''
clip1Display.PolarAxes = 'PolarAxesRepresentation'
clip1Display.ScalarOpacityUnitDistance = 42210192.22786043
# init the 'GridAxesRepresentation' selected for 'DataAxesGrid'
clip1Display.DataAxesGrid.XTitleFontFile = ''
clip1Display.DataAxesGrid.YTitleFontFile = ''
clip1Display.DataAxesGrid.ZTitleFontFile = ''
clip1Display.DataAxesGrid.XLabelFontFile = ''
clip1Display.DataAxesGrid.YLabelFontFile = ''
clip1Display.DataAxesGrid.ZLabelFontFile = ''
# init the 'PolarAxesRepresentation' selected for 'PolarAxes'
clip1Display.PolarAxes.PolarAxisTitleFontFile = ''
clip1Display.PolarAxes.PolarAxisLabelFontFile = ''
clip1Display.PolarAxes.LastRadialAxisTextFontFile = ''
clip1Display.PolarAxes.SecondaryRadialAxesTextFontFile = ''
# reset view to fit data
renderView1.ResetCamera()
# set active view
SetActiveView(renderView2)
# show data in view
clip1Display_1 = Show(clip1, renderView2)
# trace defaults for the display properties.
clip1Display_1.Representation = 'Surface'
clip1Display_1.ColorArrayName = [None, '']
clip1Display_1.OSPRayScaleFunction = 'PiecewiseFunction'
clip1Display_1.SelectOrientationVectors = 'None'
clip1Display_1.ScaleFactor = 200000000.0
clip1Display_1.SelectScaleArray = 'None'
clip1Display_1.GlyphType = 'Arrow'
clip1Display_1.GlyphTableIndexArray = 'None'
clip1Display_1.GaussianRadius = 10000000.0
clip1Display_1.SetScaleArray = [None, '']
clip1Display_1.ScaleTransferFunction = 'PiecewiseFunction'
clip1Display_1.OpacityArray = [None, '']
clip1Display_1.OpacityTransferFunction = 'PiecewiseFunction'
clip1Display_1.DataAxesGrid = 'GridAxesRepresentation'
clip1Display_1.SelectionCellLabelFontFile = ''
clip1Display_1.SelectionPointLabelFontFile = ''
clip1Display_1.PolarAxes = 'PolarAxesRepresentation'
clip1Display_1.ScalarOpacityUnitDistance = 42210192.22786043
# init the 'GridAxesRepresentation' selected for 'DataAxesGrid'
clip1Display_1.DataAxesGrid.XTitleFontFile = ''
clip1Display_1.DataAxesGrid.YTitleFontFile = ''
clip1Display_1.DataAxesGrid.ZTitleFontFile = ''
clip1Display_1.DataAxesGrid.XLabelFontFile = ''
clip1Display_1.DataAxesGrid.YLabelFontFile = ''
clip1Display_1.DataAxesGrid.ZLabelFontFile = ''
# init the 'PolarAxesRepresentation' selected for 'PolarAxes'
clip1Display_1.PolarAxes.PolarAxisTitleFontFile = ''
clip1Display_1.PolarAxes.PolarAxisLabelFontFile = ''
clip1Display_1.PolarAxes.LastRadialAxisTextFontFile = ''
clip1Display_1.PolarAxes.SecondaryRadialAxesTextFontFile = ''
# reset view to fit data
renderView2.ResetCamera()
# set active view
SetActiveView(renderView3)
# show data in view
clip1Display_2 = Show(clip1, renderView3)
# trace defaults for the display properties.
clip1Display_2.Representation = 'Surface'
clip1Display_2.ColorArrayName = [None, '']
clip1Display_2.OSPRayScaleFunction = 'PiecewiseFunction'
clip1Display_2.SelectOrientationVectors = 'None'
clip1Display_2.ScaleFactor = 200000000.0
clip1Display_2.SelectScaleArray = 'None'
clip1Display_2.GlyphType = 'Arrow'
clip1Display_2.GlyphTableIndexArray = 'None'
clip1Display_2.GaussianRadius = 10000000.0
clip1Display_2.SetScaleArray = [None, '']
clip1Display_2.ScaleTransferFunction = 'PiecewiseFunction'
clip1Display_2.OpacityArray = [None, '']
clip1Display_2.OpacityTransferFunction = 'PiecewiseFunction'
clip1Display_2.DataAxesGrid = 'GridAxesRepresentation'
clip1Display_2.SelectionCellLabelFontFile = ''
clip1Display_2.SelectionPointLabelFontFile = ''
clip1Display_2.PolarAxes = 'PolarAxesRepresentation'
clip1Display_2.ScalarOpacityUnitDistance = 42210192.22786043
# init the 'GridAxesRepresentation' selected for 'DataAxesGrid'
clip1Display_2.DataAxesGrid.XTitleFontFile = ''
clip1Display_2.DataAxesGrid.YTitleFontFile = ''
clip1Display_2.DataAxesGrid.ZTitleFontFile = ''
clip1Display_2.DataAxesGrid.XLabelFontFile = ''
clip1Display_2.DataAxesGrid.YLabelFontFile = ''
clip1Display_2.DataAxesGrid.ZLabelFontFile = ''
# init the 'PolarAxesRepresentation' selected for 'PolarAxes'
clip1Display_2.PolarAxes.PolarAxisTitleFontFile = ''
clip1Display_2.PolarAxes.PolarAxisLabelFontFile = ''
clip1Display_2.PolarAxes.LastRadialAxisTextFontFile = ''
clip1Display_2.PolarAxes.SecondaryRadialAxesTextFontFile = ''
#set the camera views for each render
# current camera placement for renderView1
renderView1.CameraPosition = [0.0, 1000000000.0, 4700000000.0]
renderView1.CameraFocalPoint = [0.0, 1000000000.0, 0.0]
renderView1.CameraParallelScale = 1405561883.6231568
# current camera placement for renderView2
renderView2.CameraPosition = [0.0, 1000000000.0, 4700000000.0]
renderView2.CameraFocalPoint = [0.0, 1000000000.0, 0.0]
renderView2.CameraParallelScale = 1405561883.6231568
# current camera placement for renderView3
renderView3.CameraPosition = [0.0, 1000000000.0, 4700000000.0]
renderView3.CameraFocalPoint = [0.0, 1000000000.0, 0.0]
renderView3.CameraParallelScale = 1405561883.6231568
# Hide orientation axes
renderView1.OrientationAxesVisibility = 0
renderView2.OrientationAxesVisibility = 0
renderView3.OrientationAxesVisibility = 0
# set scalar coloring
ColorBy(clip1Display, ('CELLS', 'rho'))
ColorBy(clip1Display_1, ('CELLS', 'Te'))
ColorBy(clip1Display_2, ('CELLS', 'v2'))
# show color bar/color legend
clip1Display.SetScalarBarVisibility(renderView1, True)
clip1Display_1.SetScalarBarVisibility(renderView2, True)
clip1Display_2.SetScalarBarVisibility(renderView3, True)
# SETING COLOR BAR PROPERTIES
colour_wheel = ['Black-Body', 'Cool to Warm', 'Cool to Warm (Extended)', 'Grayscale']
primvar = ['rho', 'Te', 'v2']
rend = []
LUTColorBar
test = [renderView1, ]
for i in range(len(primvar)):
rend.append(GetColorTransferFunction(primvar[i]))
LUTColorBar.append(GetScalarBar(rend[i], renderView1))
# get color legend/bar for rhoLUT in view renderView1
rend1LUTColorBar = GetScalarBar(rend1LUT, renderView1)
rend2LUTColorBar = GetScalarBar(rend2LUT, renderView2)
rend3LUTColorBar = GetScalarBar(rend3LUT, renderView3)
col_black = [0.0, 0.0, 0.0]
col_white = [1.0, 1.0, 1.0]
# Properties modified on v2LUTColorBar
rend1LUTColorBar.TitleColor = col_black
rend2LUTColorBar.TitleColor = col_black
rend3LUTColorBar.TitleColor = col_black
# Properties modified on v2LUTColorBar
rend1LUTColorBar.LabelColor = col_black
rend2LUTColorBar.LabelColor = col_black
rend3LUTColorBar.LabelColor = col_black
# change scalar bar length
rend1LUTColorBar.ScalarBarLength = 0.75
rend2LUTColorBar.ScalarBarLength = 0.75
rend3LUTColorBar.ScalarBarLength = 0.75
# change scalar bar placement
colbar_pos_x = 0.85
colbar_pos_y = 0.125
rend1LUTColorBar.Position = [colbar_pos_x, colbar_pos_y]
rend2LUTColorBar.Position = [colbar_pos_x, colbar_pos_y]
rend3LUTColorBar.Position = [colbar_pos_x, colbar_pos_y]
## Note: resize frame
#layout1.SetSplitFraction(0, 0.33333)
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0
| 6
|
d91b58d472ddd5f4bbfdbfae9051f0ef355d70c4
| 44
|
py
|
Python
|
kamyroll_gui/settings_dialog/__init__.py
|
KorigamiK/kamyroll-gui
|
7c151c2d02a53a11d9f0a17e9bdfa400f707a201
|
[
"MIT"
] | 18
|
2020-11-21T11:11:27.000Z
|
2021-12-26T03:45:42.000Z
|
kamyroll_gui/settings_dialog/__init__.py
|
KorigamiK/kamyroll-gui
|
7c151c2d02a53a11d9f0a17e9bdfa400f707a201
|
[
"MIT"
] | 2
|
2022-01-31T23:44:38.000Z
|
2022-02-03T07:24:12.000Z
|
kamyroll_gui/settings_dialog/__init__.py
|
KorigamiK/kamyroll-gui
|
7c151c2d02a53a11d9f0a17e9bdfa400f707a201
|
[
"MIT"
] | 2
|
2020-11-21T07:46:25.000Z
|
2020-12-20T21:09:13.000Z
|
from .settings_dialog import SettingsDialog
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0
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799d311dffed75522f9557a5781b204698e46608
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|
py
|
Python
|
app/__init__.py
|
andrefaranha/flask-blog
|
a491386bddc5b6d3cd4706347b497945d711a3ea
|
[
"MIT"
] | null | null | null |
app/__init__.py
|
andrefaranha/flask-blog
|
a491386bddc5b6d3cd4706347b497945d711a3ea
|
[
"MIT"
] | null | null | null |
app/__init__.py
|
andrefaranha/flask-blog
|
a491386bddc5b6d3cd4706347b497945d711a3ea
|
[
"MIT"
] | null | null | null |
import app
import models
import routes
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0
| 6
|
30a8850eb950c453312f8a032888356f009f4699
| 8,990
|
py
|
Python
|
models/u-nets.py
|
abhinav-2912/Polyp-Segmentation
|
82f2a309bafb073dc7c12ec85d196c9367b4c702
|
[
"MIT"
] | null | null | null |
models/u-nets.py
|
abhinav-2912/Polyp-Segmentation
|
82f2a309bafb073dc7c12ec85d196c9367b4c702
|
[
"MIT"
] | null | null | null |
models/u-nets.py
|
abhinav-2912/Polyp-Segmentation
|
82f2a309bafb073dc7c12ec85d196c9367b4c702
|
[
"MIT"
] | null | null | null |
import os
import cv2
import keras
import numpy as np
import matplotlib.pyplot as plt
import albumentations as A
import tensorflow
import tensorflow as tf
from tensorflow.keras import *
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Conv2D, MaxPool2D, Activation, Conv2DTranspose, UpSampling2D, Concatenate
from keras.backend.tensorflow_backend import set_session
import keras, sys, time, warnings
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizers
import pandas as pd
import numpy as np
import os
import shutil
import matplotlib.pyplot as plt
import imageio
from tensorflow.python.client import device_lib
from keras.models import model_from_json
from keras.models import load_model
import segmentation_models as sm
'''
typ 0: UpSampling2D
typ 1: Conv2DTranspose
'''
def get_model(input_shape=(224, 224, 3), typ=0):
input_layer = Input(shape=input_shape)
conv1 = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(input_layer)
conv1_bn = BatchNormalization()(conv1)
conv1_relu = Activation('relu')(conv1_bn)
pool1 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv1_relu)
## branch 1
conv1_1 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(pool1)
conv1_1_bn = BatchNormalization()(conv1_1)
conv1_1_relu = Activation('relu')(conv1_1_bn)
## branch 2
conv2_1 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(pool1)
conv2_1_bn = BatchNormalization()(conv2_1)
conv2_1_relu = Activation('relu')(conv2_1_bn)
pool2 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv2_1_relu)
## branch 3
conv3_1 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(pool2)
conv3_1_bn = BatchNormalization()(conv3_1)
conv3_1_relu = Activation('relu')(conv3_1_bn)
## branch 4
conv4_1 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(pool2)
conv4_1_bn = BatchNormalization()(conv4_1)
conv4_1_relu = Activation('relu')(conv4_1_bn)
## dilation branch
dil1 = Conv2D(128, (3, 3), dilation_rate=(2, 2), padding='same')(conv4_1_relu)
dil2 = Conv2D(128, (3, 3), dilation_rate=(4, 4), padding='same')(dil1)
dil3 = Conv2D(128, (3, 3), dilation_rate=(8, 8), padding='same')(dil2)
## Add 1
added1 = Add()([conv3_1_relu, dil3])
if typ == 0:
deconv1 = UpSampling2D((2, 2))(added1)
else:
deconv1 = Conv2DTranspose(128, (1, 1), strides=(2, 2), padding='valid')(added1)
deconv1 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(deconv1)
deconv1 = BatchNormalization()(deconv1)
deconv1 = Activation('relu')(deconv1)
## Add 2
added2 = Add()([conv1_1_relu, deconv1])
if typ == 0:
deconv2 = UpSampling2D((2, 2))(added2)
else:
deconv2 = Conv2DTranspose(128, (1, 1), strides=(2, 2), padding='valid')(added2)
deconv2 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(deconv2)
deconv2 = BatchNormalization()(deconv2)
deconv2 = Activation('relu')(deconv2)
conv_final = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(deconv2)
conv_final = BatchNormalization()(conv_final)
conv_final = Activation('relu')(conv_final)
pred = Conv2D(2, (3, 3), strides=(1, 1), padding='same')(conv_final)
pred = Activation('softmax')(pred)
model = Model(inputs=input_layer, outputs=pred)
return model
def get_model_depth_separable(input_shape=(224, 224, 3), typ=0):
input_layer = Input(shape=input_shape)
conv1 = SeparableConv2D(64, (3, 3), strides=(1, 1), padding='same')(input_layer)
conv1_bn = BatchNormalization()(conv1)
conv1_relu = Activation('relu')(conv1_bn)
pool1 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv1_relu)
## branch 1
conv1_1 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(pool1)
conv1_1_bn = BatchNormalization()(conv1_1)
conv1_1_relu = Activation('relu')(conv1_1_bn)
## branch 2
conv2_1 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(pool1)
conv2_1_bn = BatchNormalization()(conv2_1)
conv2_1_relu = Activation('relu')(conv2_1_bn)
pool2 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv2_1_relu)
## branch 3
conv3_1 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(pool2)
conv3_1_bn = BatchNormalization()(conv3_1)
conv3_1_relu = Activation('relu')(conv3_1_bn)
## branch 4
conv4_1 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(pool2)
conv4_1_bn = BatchNormalization()(conv4_1)
conv4_1_relu = Activation('relu')(conv4_1_bn)
## dilation branch
dil1 = Conv2D(128, (3, 3), dilation_rate=(2, 2), padding='same')(conv4_1_relu)
dil2 = Conv2D(128, (3, 3), dilation_rate=(4, 4), padding='same')(dil1)
dil3 = Conv2D(128, (3, 3), dilation_rate=(8, 8), padding='same')(dil2)
## Add 1
added1 = Add()([conv3_1_relu, dil3])
if typ == 0:
deconv1 = UpSampling2D((2, 2))(added1)
else:
deconv1 = Conv2DTranspose(128, (1, 1), strides=(2, 2), padding='valid')(added1)
deconv1 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(deconv1)
deconv1 = BatchNormalization()(deconv1)
deconv1 = Activation('relu')(deconv1)
## Add 2
added2 = Add()([conv1_1_relu, deconv1])
if typ == 0:
deconv2 = UpSampling2D((2, 2))(added2)
else:
deconv2 = Conv2DTranspose(128, (1, 1), strides=(2, 2), padding='valid')(added2)
deconv2 = SeparableConv2D(128, (3, 3), strides=(1, 1), padding='same')(deconv2)
deconv2 = BatchNormalization()(deconv2)
deconv2 = Activation('relu')(deconv2)
conv_final = SeparableConv2D(64, (3, 3), strides=(1, 1), padding='same')(deconv2)
conv_final = BatchNormalization()(conv_final)
conv_final = Activation('relu')(conv_final)
pred = SeparableConv2D(2, (3, 3), strides=(1, 1), padding='same')(conv_final)
pred = Activation('softmax')(pred)
model = Model(inputs=input_layer, outputs=pred)
return model
def u_net1(input_shape=(96, 96, 3)):
input_layer = Input(shape=input_shape)
conv1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(input_layer)
conv1 = Activation('relu')(conv1)
conv1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(conv1)
conv1 = Activation('relu')(conv1)
pool1 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv1) # 112
conv2 = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(pool1)
conv2 = Activation('relu')(conv2)
conv2 = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(conv2)
conv2 = Activation('relu')(conv2)
pool2 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv2) # 56
conv3 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(pool2)
conv3 = Activation('relu')(conv3)
conv3 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(conv3)
conv3 = Activation('relu')(conv3)
pool3 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding='valid')(conv3) # 28
conv4 = Conv2D(256, (3, 3), strides=(1, 1), padding='same')(pool3)
conv4 = Activation('relu')(conv4)
conv4 = Conv2D(256, (3, 3), strides=(1, 1), padding='same')(conv4)
conv4 = Activation('relu')(conv4)
convd3 = Conv2DTranspose(128, (3, 3), strides=(2, 2), padding='same')(conv4)
convd3 = Concatenate()([convd3, conv3])
convd3 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(convd3)
convd3 = Activation('relu')(convd3)
convd3 = Conv2D(128, (3, 3), strides=(1, 1), padding='same')(convd3)
convd3 = Activation('relu')(convd3)
convd2 = Conv2DTranspose(64, (3, 3), strides=(2, 2), padding='same')(convd3)
convd2 = Concatenate()([convd2, conv2])
convd2 = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(convd2)
convd2 = Activation('relu')(convd2)
convd2 = Conv2D(64, (3, 3), strides=(1, 1), padding='same')(convd2)
convd2 = Activation('relu')(convd2)
convd1 = Conv2DTranspose(32, (3, 3), strides=(2, 2), padding='same')(convd2)
convd1 = Concatenate()([convd1, conv1])
convd1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(convd1)
convd1 = Activation('relu')(convd1)
convd1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(convd1)
convd1 = Activation('relu')(convd1)
pred = Conv2D(2, (1, 1), strides=(1, 1), padding='same', activation='softmax')(convd1)
model = Model(inputs=input_layer, outputs=pred)
return model
def base_net(input_shape=(96, 96, 3)):
input_layer = Input(shape=input_shape)
conv1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(input_layer)
conv1 = Activation('relu')(conv1)
conv1 = Conv2D(32, (3, 3), strides=(1, 1), padding='same')(conv1)
conv1 = Activation('relu')(conv1)
pred = Conv2D(2, (1, 1), strides=(1, 1), padding='same', activation='softmax')(conv1)
model = Model(inputs=input_layer, outputs=pred)
return model
| 36.995885
| 116
| 0.648387
| 1,234
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| 4.605348
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0
| 6
|
30d607e28da1baa1dc1419a822c61ca806574de3
| 455
|
py
|
Python
|
myapp/views.py
|
haominglfs/djmininTpl
|
5bedcf7f3c45e7bf0a522777756378f38eae5d24
|
[
"MIT"
] | null | null | null |
myapp/views.py
|
haominglfs/djmininTpl
|
5bedcf7f3c45e7bf0a522777756378f38eae5d24
|
[
"MIT"
] | null | null | null |
myapp/views.py
|
haominglfs/djmininTpl
|
5bedcf7f3c45e7bf0a522777756378f38eae5d24
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
# Create your views here.
def index(request):
return render(request,'index.html')
# 返回某一特定页面 3层结构
def getPage1(request,path1,path2,path3,name):
return render(request, path1+'/'+path2+'/'+path3+'/'+name)
# 返回某一特定页面 2层结构
def getPage2(request,path1,path2,name):
return render(request, path1+'/'+path2+'/'+name)
# 返回某一特定页面 1层结构
def getPage3(request,path1,name):
return render(request, path1+'/'+name)
| 23.947368
| 62
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| 59
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| 455
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0
| 6
|
ebacc04cdc28cd3f6cce11bfad0196c7b1df13bd
| 39
|
py
|
Python
|
pendulopodes/constants.py
|
nwunderly/pendulopodes
|
e9daa8c76625b806fe81d2c623a34493390a62d0
|
[
"MIT"
] | 1
|
2021-05-06T00:19:52.000Z
|
2021-05-06T00:19:52.000Z
|
pendulopodes/constants.py
|
nwunderly/pendulopodes
|
e9daa8c76625b806fe81d2c623a34493390a62d0
|
[
"MIT"
] | null | null | null |
pendulopodes/constants.py
|
nwunderly/pendulopodes
|
e9daa8c76625b806fe81d2c623a34493390a62d0
|
[
"MIT"
] | null | null | null |
g = 9.81
l1 = 1
l2 = 1
m1 = 1
m2 = 1
| 4.875
| 8
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| 11
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0
| 6
|
ccdff903d8905db39483de77a5f2cb2e94979f31
| 153
|
py
|
Python
|
deco/layers/__init__.py
|
mfojtak/decor
|
203979351635a6794c91200fca4a14296ec9bc37
|
[
"MIT"
] | 1
|
2019-09-05T07:23:19.000Z
|
2019-09-05T07:23:19.000Z
|
deco/layers/__init__.py
|
mfojtak/decor
|
203979351635a6794c91200fca4a14296ec9bc37
|
[
"MIT"
] | 2
|
2020-10-25T17:41:08.000Z
|
2020-10-26T16:48:19.000Z
|
deco/layers/__init__.py
|
mfojtak/deco
|
203979351635a6794c91200fca4a14296ec9bc37
|
[
"MIT"
] | null | null | null |
from deco.layers.sentencepiece_tokenizer import SentencepieceTokenizer
from deco.layers.bert_input import BertInput
from deco.layers.mapper import Mapper
| 51
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| 0.888889
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|
0
| 6
|
695a890cae32dce592f3d9763f60d965982d32d6
| 100,337
|
py
|
Python
|
Contest/HackerCup/ProblemB_Alchemy.py
|
AbhiSaphire/Codechef.Practice
|
f671292dad2695e37458866442a6b951ba4e1a71
|
[
"MIT"
] | 27
|
2020-05-19T06:46:45.000Z
|
2022-02-06T20:29:58.000Z
|
Contest/HackerCup/ProblemB_Alchemy.py
|
AbhiSaphire/Codechef.Practice
|
f671292dad2695e37458866442a6b951ba4e1a71
|
[
"MIT"
] | 1
|
2020-06-23T13:08:08.000Z
|
2020-10-06T06:27:15.000Z
|
Contest/HackerCup/ProblemB_Alchemy.py
|
AbhiSaphire/Codechef.Practice
|
f671292dad2695e37458866442a6b951ba4e1a71
|
[
"MIT"
] | 4
|
2020-05-19T06:47:52.000Z
|
2021-07-09T02:49:09.000Z
|
def Alchemy(C, N):
return 'N' if abs(C.count('A') - C.count('B')) > 1 else 'Y'
if __name__ == "__main__":
T = int(input())
for i in range(T):
N = int(input())
C = input()
print("Case #{}:".format(i+1), end=" ")
print(Alchemy(list(C), N))
# s = 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"
# print(s.count('A'))
# print(s.count('B'))
| 6,271.0625
| 100,007
| 0.998236
| 54
| 100,337
| 1,854.666667
| 0.537037
| 0.00004
| 0.00022
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00002
| 0.000907
| 100,337
| 15
| 100,008
| 6,689.133333
| 0.999042
| 0.99709
| 0
| 0
| 0
| 0
| 0.076389
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0
| 0.111111
| 0.222222
| 0.222222
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 6
|
c63a63a148ef844f02c958e777abad78cb1b7641
| 5,926
|
py
|
Python
|
tests/clpy_tests/opencl_tests/headercvt_tests/test_headercvt_types.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 142
|
2018-06-07T07:43:10.000Z
|
2021-10-30T21:06:32.000Z
|
tests/clpy_tests/opencl_tests/headercvt_tests/test_headercvt_types.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 282
|
2018-06-07T08:35:03.000Z
|
2021-03-31T03:14:32.000Z
|
tests/clpy_tests/opencl_tests/headercvt_tests/test_headercvt_types.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 19
|
2018-06-19T11:07:53.000Z
|
2021-05-13T20:57:04.000Z
|
import unittest
import headercvt_test_utils as util
class TestHeadercvtTypes(unittest.TestCase):
def setUp(self):
util.check_existence_of_headercvt()
@util.with_temp_wd
def test_headercvt_typedef(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef int clpy_int;
""")
self.assertTrue(util.compile_with(wd, "cdef clpy_int foo = 0"))
@util.with_temp_wd
def test_headercvt_typedef_to_pointer(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef int* clpy_intptr;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_intptr foo = <clpy_intptr>0"))
@util.with_temp_wd
def test_headercvt_typedef_to_tagged_struct(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct clpy_struct_tag{
int member;
} clpy_struct_t;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_struct_t foo\nfoo.member = 0"))
@util.with_temp_wd
def test_headercvt_typedef_to_anonymous_struct(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct {
int member;
} clpy_struct_t;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_struct_t foo\nfoo.member = 0"))
@util.with_temp_wd
def test_headercvt_typedef_to_empty_struct(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct {
} clpy_empty_struct_t;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_empty_struct_t* foo"))
@util.with_temp_wd
def test_headercvt_typedef_to_struct_which_contains_an_array(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct clpy_struct_tag{
int member[100];
} clpy_struct_t;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_struct_t foo\nfoo.member[0] = 0"))
@util.with_temp_wd
def test_headercvt_typedef_to_struct_having_a_pointer_variable(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct clpy_struct_tag{
int* ptr;
} clpy_struct_t;
""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_struct_t foo\nfoo.ptr = <int*>0"))
"""
@util.with_temp_wd
def test_headercvt_typedef_to_discretely_tagged_struct(self, wd):
util.kick_headercvt_and_get_results(wd, \"""
struct clpy_struct_tag{
int member;
};
typedef struct clpy_struct_tag clpy_struct_t;
\""")
self.assertTrue(util.compile_with(
wd, "cdef clpy_struct_t foo\nfoo.member = 0"))
# TODO(nsakabe-fixstars):
# Make headercvt support this case of decl and update this testcase.
# Current error:
# cdef extern from "CL/cl.h":
# cdef struct clpy_struct_tag:
# int member
# ctypedef struct clpy_struct_tag clpy_struct_t
# ^
# ------------------------------------------------------------
#
# types.pxi:4:36: Syntax error in struct or union definition
"""
@util.with_temp_wd
def test_headercvt_typedef_to_implicitly_declared_pointer(self, wd):
util.kick_headercvt_and_get_results(wd, """
typedef struct clpy_struct_tag * clpy_pointer_to_struct_t;
""")
self.assertTrue(util.compile_with(
wd,
"cdef clpy_pointer_to_struct_t foo = <clpy_pointer_to_struct_t>0"))
@util.with_temp_wd
def test_headercvt_ignore_typedef_to_function_pointer(self, wd):
results = util.kick_headercvt_and_get_results(wd, """
typedef void(*clpy_function_i_vstar_l_t)(int, void*, long);
""")
self.assertTrue(not util.contains(
results["types"], "clpy_function_i_vstar_l_t"))
self.assertTrue(util.compile_with(wd, ""))
@util.with_temp_wd
def test_headercvt_ignore_union_groupdecl(self, wd):
results = util.kick_headercvt_and_get_results(wd, """
typedef union clpy_union_tag{
int member;
} clpy_union_t;
""")
self.assertTrue(not util.contains(results["types"], "clpy_union_t"))
self.assertTrue(util.compile_with(wd, ""))
@util.with_temp_wd
def test_headercvt_ignore_union_recorddecl(self, wd):
util.kick_headercvt_and_get_results(wd, """
union clpy_union_tag{
int member;
};
""")
self.assertTrue(util.compile_with(wd, ""))
@util.with_temp_wd
def test_headercvt_ignore_union_reference(self, wd):
results = util.kick_headercvt_and_get_results(wd, """
typedef union clpy_union_tag{
int member;
} clpy_union_t;
typedef clpy_union_t clpy_typedefed_union_t;
""")
self.assertTrue(not util.contains(
results["types"], "clpy_typedefed_union_t"))
self.assertTrue(util.compile_with(wd, ""))
@util.with_temp_wd
def test_headercvt_ignore_pthread_related_groupdecl(self, wd):
results = util.kick_headercvt_and_get_results(wd, """
typedef struct{
int* ptr;
} clpy_pthread_struct_intptr;
""")
self.assertTrue(not util.contains(
results["types"], "clpy_pthread_struct_intptr"))
self.assertTrue(util.compile_with(wd, ""))
@util.with_temp_wd
def test_headercvt_ignore_pthread_related_recorddecl(self, wd):
results = util.kick_headercvt_and_get_results(wd, """
typedef struct clpy_struct_tag{
int* ptr;
} clpy_pthread_struct_intptr;
""")
self.assertTrue(not util.contains(
results["types"], "clpy_pthread_struct_intptr"))
self.assertTrue(util.compile_with(wd, ""))
| 35.27381
| 79
| 0.629092
| 734
| 5,926
| 4.681199
| 0.126703
| 0.08149
| 0.052387
| 0.061118
| 0.849534
| 0.836438
| 0.792782
| 0.776775
| 0.719441
| 0.697031
| 0
| 0.003432
| 0.262403
| 5,926
| 167
| 80
| 35.48503
| 0.782658
| 0
| 0
| 0.641379
| 0
| 0
| 0.389995
| 0.070279
| 0
| 0
| 0
| 0
| 0.137931
| 1
| 0.103448
| false
| 0
| 0.013793
| 0
| 0.124138
| 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
|
d693269f19f189562a86ebb4660992dccc590e0e
| 136
|
py
|
Python
|
pytorch_pfn_extras/profiler/__init__.py
|
yasuyuky/pytorch-pfn-extras
|
febea6ded644d3b7a099ac557f06567a04b3b838
|
[
"MIT"
] | null | null | null |
pytorch_pfn_extras/profiler/__init__.py
|
yasuyuky/pytorch-pfn-extras
|
febea6ded644d3b7a099ac557f06567a04b3b838
|
[
"MIT"
] | null | null | null |
pytorch_pfn_extras/profiler/__init__.py
|
yasuyuky/pytorch-pfn-extras
|
febea6ded644d3b7a099ac557f06567a04b3b838
|
[
"MIT"
] | null | null | null |
from pytorch_pfn_extras.profiler.record import record # NOQA
from pytorch_pfn_extras.profiler.time_summary import time_summary # NOQA
| 45.333333
| 73
| 0.852941
| 20
| 136
| 5.5
| 0.5
| 0.2
| 0.254545
| 0.363636
| 0.509091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102941
| 136
| 2
| 74
| 68
| 0.901639
| 0.066176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
|
d6cf3b6e37b91c972519e55833fa1e5e2cd8df22
| 274
|
py
|
Python
|
zenithml/torch/__init__.py
|
zenith-ml/zenithml
|
b2e68d31f9649d5477f8321b4394822f6f3a8e0c
|
[
"MIT"
] | null | null | null |
zenithml/torch/__init__.py
|
zenith-ml/zenithml
|
b2e68d31f9649d5477f8321b4394822f6f3a8e0c
|
[
"MIT"
] | 1
|
2022-03-07T16:29:32.000Z
|
2022-03-07T16:29:32.000Z
|
zenithml/torch/__init__.py
|
zenith-ml/zenithml
|
b2e68d31f9649d5477f8321b4394822f6f3a8e0c
|
[
"MIT"
] | null | null | null |
from zenithml.torch.nvt_dataset import TorchDataset
from zenithml.torch.model import concat_layers, get_preprocess_layers_and_dims, BaseTorchModel
from zenithml.torch.inference import batch_inference
from zenithml.torch.hvd import init_hvd
from zenithml.torch import recsys
| 45.666667
| 94
| 0.879562
| 39
| 274
| 5.974359
| 0.512821
| 0.257511
| 0.364807
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080292
| 274
| 5
| 95
| 54.8
| 0.924603
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
|
d6d10496f42d8051b362f390b187382e293dd66a
| 60
|
py
|
Python
|
slippi/__init__.py
|
NikhilNarayana/py-slippi
|
0b7a2171b025403e4ed58df6541c4f5ee54493a5
|
[
"MIT"
] | null | null | null |
slippi/__init__.py
|
NikhilNarayana/py-slippi
|
0b7a2171b025403e4ed58df6541c4f5ee54493a5
|
[
"MIT"
] | null | null | null |
slippi/__init__.py
|
NikhilNarayana/py-slippi
|
0b7a2171b025403e4ed58df6541c4f5ee54493a5
|
[
"MIT"
] | null | null | null |
from slippi.game import Game
from slippi.parse import parse
| 20
| 30
| 0.833333
| 10
| 60
| 5
| 0.5
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 60
| 2
| 31
| 30
| 0.961538
| 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
|
d6ea43a7e3c02c66941ea37869952aa8f2efa469
| 22
|
py
|
Python
|
dataset/__init__.py
|
vipulSharma18/Deep-Self-Supervised-Audio-Video-Cosegmentation-with-Adaptive-Noise-Cancellation
|
d52695be31a1552d0785f3b6634bde6ef9276a90
|
[
"MIT"
] | null | null | null |
dataset/__init__.py
|
vipulSharma18/Deep-Self-Supervised-Audio-Video-Cosegmentation-with-Adaptive-Noise-Cancellation
|
d52695be31a1552d0785f3b6634bde6ef9276a90
|
[
"MIT"
] | null | null | null |
dataset/__init__.py
|
vipulSharma18/Deep-Self-Supervised-Audio-Video-Cosegmentation-with-Adaptive-Noise-Cancellation
|
d52695be31a1552d0785f3b6634bde6ef9276a90
|
[
"MIT"
] | null | null | null |
from .music import *
| 11
| 21
| 0.681818
| 3
| 22
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 22
| 1
| 22
| 22
| 0.882353
| 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
|
d6f35275fb1f95732a79b3f76d647c0a398b09d2
| 14,340
|
py
|
Python
|
api_tests/timestamp/test_timestamptoken_verify.py
|
shun-nakazawa/RDM-osf.io
|
cdf0101426e3a3637f76bd7f477897947f163366
|
[
"Apache-2.0"
] | null | null | null |
api_tests/timestamp/test_timestamptoken_verify.py
|
shun-nakazawa/RDM-osf.io
|
cdf0101426e3a3637f76bd7f477897947f163366
|
[
"Apache-2.0"
] | 8
|
2018-11-09T05:57:09.000Z
|
2019-07-25T10:27:55.000Z
|
api_tests/timestamp/test_timestamptoken_verify.py
|
shun-nakazawa/RDM-osf.io
|
cdf0101426e3a3637f76bd7f477897947f163366
|
[
"Apache-2.0"
] | null | null | null |
import datetime
import pytz
import os
from api.timestamp.add_timestamp import AddTimestamp
from api.timestamp.timestamptoken_verify import TimeStampTokenVerifyCheck
from api.base import settings as api_settings
from osf.models import RdmFileTimestamptokenVerifyResult, Guid
import shutil
from nose import tools as nt
from tests.base import ApiTestCase
from osf_tests.factories import ProjectFactory # AuthUserFactory,, UserFactory
from api_tests.utils import create_test_file
from framework.auth import Auth
from website.views import userkey_generation
class TestTimeStampTokenVerifyCheck(ApiTestCase):
def setUp(self):
super(TestTimeStampTokenVerifyCheck, self).setUp()
self.project = ProjectFactory()
self.node = self.project
self.user = self.project.creator
self.auth_obj = Auth(user=self.project.creator)
userkey_generation(self.user._id)
# Refresh records from database; necessary for comparing dates
self.project.reload()
self.user.reload()
def tearDown(self):
from osf.models import RdmUserKey
super(TestTimeStampTokenVerifyCheck, self).tearDown()
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
self.user.delete()
rdmuserkey_pvt_key = RdmUserKey.objects.get(guid=osfuser_id, key_kind=api_settings.PRIVATE_KEY_VALUE)
pvt_key_path = os.path.join(api_settings.KEY_SAVE_PATH, rdmuserkey_pvt_key.key_name)
os.remove(pvt_key_path)
rdmuserkey_pvt_key.delete()
rdmuserkey_pub_key = RdmUserKey.objects.get(guid=osfuser_id, key_kind=api_settings.PUBLIC_KEY_VALUE)
pub_key_path = os.path.join(api_settings.KEY_SAVE_PATH, rdmuserkey_pub_key.key_name)
os.remove(pub_key_path)
rdmuserkey_pub_key.delete()
def test_timestamp_check_return_status_1(self):
"""
TIME_STAMP_TOKEN_CHECK_SUCCESS = 1
TIME_STAMP_TOKEN_CHECK_SUCCESS_MSG = 'OK'
"""
provider = 'osfstorage'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
with open(tmp_file, 'wb') as fout:
fout.write('test_file_timestamp_check_context')
## add timestamp
addTimestamp = AddTimestamp()
addTimestamp.add_timestamp(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 1)
nt.assert_equal(ret['verify_result_title'], 'OK')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 1)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
def test_timestamp_check_return_status_2(self):
"""
[IN & Testdata]
RdmFileTimestamptokenVerifyResult : Exist & RdmFileTimestamptokenVerifyResult.timestamp_token != null
provider = 's3'
* File(tmp_file) update from outside the system
[OUT]
TIME_STAMP_TOKEN_CHECK_NG = 2
TIME_STAMP_TOKEN_CHECK_NG_MSG = 'NG'
"""
provider = 's3'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
with open(tmp_file, 'wb') as fout:
fout.write('test_timestamp_check_return_status_2.test_file_context')
## add timestamp
addTimestamp = AddTimestamp()
addTimestamp.add_timestamp(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
## File(tmp_file) update from outside the system
with open(tmp_file, 'wb') as fout:
fout.write('test_timestamp_check_return_status_2.test_file_context...File(tmp_file) update from outside the system.')
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 2)
nt.assert_equal(ret['verify_result_title'], 'NG')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 2)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
def test_timestamp_check_return_status_3(self):
"""
[IN & Testdata]
BaseFileNode : Exist
RdmFileTimestamptokenVerifyResult : None
provider = 'osfstorage'
[OUT]
TIME_STAMP_TOKEN_CHECK_FILE_NOT_FOUND = 3
TIME_STAMP_TOKEN_CHECK_FILE_NOT_FOUND_MSG = 'TST missing(Unverify)'
"""
provider = 'osfstorage'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
with open(tmp_file, 'wb') as fout:
fout.write('test_file_timestamp_check_context')
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 3)
nt.assert_equal(ret['verify_result_title'], 'TST missing(Unverify)')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 3)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
def test_timestamp_check_return_status_4(self):
"""
[IN & Testdata]
BaseFileNode : Exist & BaseFileNode.is_deleted = False
RdmFileTimestamptokenVerifyResult : Exist & RdmFileTimestamptokenVerifyResult.timestamp_token = null
provider = 'osfstorage'
[OUT]
TIME_STAMP_TOKEN_NO_DATA = 4
TIME_STAMP_TOKEN_NO_DATA_MSG = 'TST missing(Retrieving Failed)'
"""
provider = 'osfstorage'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 4)
nt.assert_equal(ret['verify_result_title'], 'TST missing(Retrieving Failed)')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 4)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
def test_timestamp_check_return_status_5(self):
"""
[IN & Testdata]
BaseFileNode : Exist & BaseFileNode.is_deleted = True
RdmFileTimestamptokenVerifyResult : None
provider = 'osfstorage'
[OUT]
FILE_NOT_EXISTS = 5
FILE_NOT_EXISTS_MSG = 'FILE missing'
"""
provider = 'osfstorage'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
file_node.delete()
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 5)
nt.assert_equal(ret['verify_result_title'], 'FILE missing')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 5)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
def test_timestamp_check_return_status_6(self):
"""
[IN & Testdata]
BaseFileNode : Exist & BaseFileNode.is_deleted = True
RdmFileTimestamptokenVerifyResult : Exist & RdmFileTimestamptokenVerifyResult.timestamp_token = null
provider = 'osfstorage'
[OUT]
FILE_NOT_EXISTS_TIME_STAMP_TOKEN_CHECK_FILE_NOT_FOUND = 6
FILE_NOT_EXISTS_TIME_STAMP_TOKEN_CHECK_FILE_NOT_FOUND_MSG = 'FILE missing(Unverify)'
"""
provider = 'osfstorage'
self.node_settings = self.project.get_addon(provider)
## create file_node(BaseFileNode record)
filename = 'test_file_timestamp_check'
file_node = create_test_file(node=self.node, user=self.user, filename=filename)
file_node.delete()
## create tmp_dir
current_datetime = datetime.datetime.now(pytz.timezone('Asia/Tokyo'))
current_datetime_str = current_datetime.strftime('%Y%m%d%H%M%S%f')
tmp_dir = '/tmp/tmp_{}_{}_{}'.format(self.user._id, file_node._id, current_datetime_str)
os.mkdir(tmp_dir)
## create tmp_file (file_node)
tmp_file = os.path.join(tmp_dir, filename)
## verify timestamptoken
verifyCheck = TimeStampTokenVerifyCheck()
verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
ret = verifyCheck.timestamp_check(self.user._id, file_node._id, self.node._id, provider, os.path.join('/', filename), tmp_file, tmp_dir)
shutil.rmtree(tmp_dir)
## check timestamp_check func response
nt.assert_equal(ret['verify_result'], 6)
nt.assert_equal(ret['verify_result_title'], 'FILE missing(Unverify)')
## check rdmfiletimestamptokenverifyresult record
rdmfiletimestamptokenverifyresult = RdmFileTimestamptokenVerifyResult.objects.get(file_id=file_node._id)
osfuser_id = Guid.objects.get(_id=self.user._id).object_id
nt.assert_equal(rdmfiletimestamptokenverifyresult.inspection_result_status, 6)
nt.assert_equal(rdmfiletimestamptokenverifyresult.validation_user, osfuser_id)
| 46.109325
| 144
| 0.702232
| 1,704
| 14,340
| 5.591549
| 0.09331
| 0.040302
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| 0.852225
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| 0.821054
| 0.792821
| 0.756402
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| 14,340
| 310
| 145
| 46.258065
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|
0
| 6
|
baa4269e34fc8f3288674a29c4585b3be437d951
| 24
|
py
|
Python
|
paicoin/restore_wallet.py
|
projectpai/paipass
|
8b8e70b6808bf026cf957e240c7eed7bfcf4c55d
|
[
"MIT"
] | 3
|
2021-04-17T10:20:26.000Z
|
2022-03-08T07:36:13.000Z
|
paicoin/restore_wallet.py
|
projectpai/paipass
|
8b8e70b6808bf026cf957e240c7eed7bfcf4c55d
|
[
"MIT"
] | null | null | null |
paicoin/restore_wallet.py
|
projectpai/paipass
|
8b8e70b6808bf026cf957e240c7eed7bfcf4c55d
|
[
"MIT"
] | null | null | null |
import os
import boto3
| 6
| 12
| 0.791667
| 4
| 24
| 4.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0.052632
| 0.208333
| 24
| 3
| 13
| 8
| 0.947368
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| 1
| 0
| 1
| 0
|
0
| 6
|
babe45646212f045914e91cf08d78165971e2d00
| 293
|
py
|
Python
|
travis_test.py
|
pythonflaskserverapps/obscurecove
|
58795ebd44109d9d60f2f0292d6d6dbd56d05c16
|
[
"MIT"
] | null | null | null |
travis_test.py
|
pythonflaskserverapps/obscurecove
|
58795ebd44109d9d60f2f0292d6d6dbd56d05c16
|
[
"MIT"
] | 4
|
2020-03-24T17:02:11.000Z
|
2021-06-01T23:44:35.000Z
|
travis_test.py
|
pythonflaskserverapps/obscurecove
|
58795ebd44109d9d60f2f0292d6d6dbd56d05c16
|
[
"MIT"
] | null | null | null |
from obscurecove import read_string_from_file
############################################################
def test_obscurecove():
print("testing obscurecove")
assert read_string_from_file(None, "default") == "default"
############################################################
| 24.416667
| 62
| 0.440273
| 21
| 293
| 5.809524
| 0.619048
| 0.163934
| 0.229508
| 0.295082
| 0
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| 293
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| 26.636364
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| 0
| 0
| 0
|
0
| 6
|
bad5ca551a884257661f8f51231239874c03ab95
| 75
|
py
|
Python
|
model_transfer/utils.py
|
ondrejba/model_transfer
|
e108d88f53614c014f0b85e8425cc4e2cee8c330
|
[
"MIT"
] | 1
|
2019-06-13T13:14:27.000Z
|
2019-06-13T13:14:27.000Z
|
model_transfer/utils.py
|
ondrejba/model_transfer
|
e108d88f53614c014f0b85e8425cc4e2cee8c330
|
[
"MIT"
] | null | null | null |
model_transfer/utils.py
|
ondrejba/model_transfer
|
e108d88f53614c014f0b85e8425cc4e2cee8c330
|
[
"MIT"
] | null | null | null |
import tensorflow as tf
def logit(x):
return - tf.log(1.0 / x - 1.0)
| 12.5
| 34
| 0.6
| 15
| 75
| 3
| 0.733333
| 0.088889
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| 0.253333
| 75
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| 15
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| 1
| 1
| 1
| 0
|
0
| 6
|
24178771a5e30dbd8692e86523707779322fd04f
| 26
|
py
|
Python
|
build/lib/Moo_NLP_test/__init__.py
|
Moomoo-pls/NLP_Logix_Challenge
|
1e9789265a0c7fd9a448ccb8017aead91c05251b
|
[
"MIT"
] | null | null | null |
build/lib/Moo_NLP_test/__init__.py
|
Moomoo-pls/NLP_Logix_Challenge
|
1e9789265a0c7fd9a448ccb8017aead91c05251b
|
[
"MIT"
] | null | null | null |
build/lib/Moo_NLP_test/__init__.py
|
Moomoo-pls/NLP_Logix_Challenge
|
1e9789265a0c7fd9a448ccb8017aead91c05251b
|
[
"MIT"
] | null | null | null |
from Moo_NLP_test import *
| 26
| 26
| 0.846154
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| 26
| 4
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|
0
| 6
|
241a8b63ebf6ce5e5574c12940ab8b06c00ce4af
| 6,359
|
py
|
Python
|
pagesparse.py
|
icehelmetminer/my_butler_jeeves
|
b84617cb3a4df80c852299438eac82cf574b09c2
|
[
"MIT"
] | null | null | null |
pagesparse.py
|
icehelmetminer/my_butler_jeeves
|
b84617cb3a4df80c852299438eac82cf574b09c2
|
[
"MIT"
] | null | null | null |
pagesparse.py
|
icehelmetminer/my_butler_jeeves
|
b84617cb3a4df80c852299438eac82cf574b09c2
|
[
"MIT"
] | null | null | null |
pages = ["https://moodle2.brandeis.edu/mod/page/view.php?id=1618513","https://moodle2.brandeis.edu/mod/resource/view.php?id=1618514","https://moodle2.brandeis.edu/mod/page/view.php?id=1618515","https://moodle2.brandeis.edu/mod/resource/view.php?id=1618517","https://moodle2.brandeis.edu/mod/resource/view.php?id=1618518","https://moodle2.brandeis.edu/mod/page/view.php?id=1618520","https://moodle2.brandeis.edu/mod/page/view.php?id=1618529","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618532","https://moodle2.brandeis.edu/mod/url/view.php?id=1618533","https://moodle2.brandeis.edu/mod/resource/view.php?id=1618534","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618535","https://medium.com/analytics-for-humans/a-comprehensive-guide-to-predictive-analytics-d1eb688f37dd","https://moodle2.brandeis.edu/mod/url/view.php?id=1618536","https://moodle2.brandeis.edu/mod/url/view.php?id=1618541","https://moodle2.brandeis.edu/mod/page/view.php?id=1618543","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618544","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618545","https://moodle2.brandeis.edu/mod/url/view.php?id=1618546","https://moodle2.brandeis.edu/mod/url/view.php?id=1618552","https://moodle2.brandeis.edu/mod/page/view.php?id=1618553","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618555","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618556","https://moodle2.brandeis.edu/mod/url/view.php?id=1618557","https://moodle2.brandeis.edu/mod/page/view.php?id=1618563","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618565","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618566","https://moodle2.brandeis.edu/mod/url/view.php?id=1618567","https://moodle2.brandeis.edu/mod/page/view.php?id=1618573","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618575","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618576","https://www.linkedin.com/learning/business-analytics-foundations-descriptive-exploratory-and-explanatory-analytics/welcome?u=41910396","https://builtin.com/data-science/step-step-explanation-principal-component-analysis","https://moodle2.brandeis.edu/mod/folder/view.php?id=1707924","https://moodle2.brandeis.edu/mod/page/view.php?id=1618582","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618584","https://moodle2.brandeis.edu/mod/url/view.php?id=1618585","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618586","https://moodle2.brandeis.edu/mod/url/view.php?id=1618587","https://moodle2.brandeis.edu/mod/folder/view.php?id=1709556","https://www.statmethods.net/stats/rdiagnostics.html","https://opexresources.com/analysis-residuals-explained/","http://www.r-tutor.com/elementary-statistics/simple-linear-regression/residual-plot","https://drsimonj.svbtle.com/visualising-residuals","https://moodle2.brandeis.edu/mod/page/view.php?id=1618593","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618595","https://moodle2.brandeis.edu/mod/url/view.php?id=1618597","https://moodle2.brandeis.edu/mod/url/view.php?id=1618602","https://moodle2.brandeis.edu/mod/url/view.php?id=1618603","https://moodle2.brandeis.edu/mod/url/view.php?id=1618604","https://moodle2.brandeis.edu/mod/url/view.php?id=1618605","https://moodle2.brandeis.edu/mod/page/view.php?id=1618606","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618608","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618609","https://moodle2.brandeis.edu/mod/url/view.php?id=1618610","https://moodle2.brandeis.edu/mod/url/view.php?id=1618615","https://moodle2.brandeis.edu/mod/page/view.php?id=1618616","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618618","https://moodle2.brandeis.edu/mod/url/view.php?id=1618619","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618620","https://moodle2.brandeis.edu/mod/url/view.php?id=1618625","https://moodle2.brandeis.edu/mod/folder/view.php?id=1716987","https://moodle2.brandeis.edu/mod/page/view.php?id=1618626","https://moodle2.brandeis.edu/mod/url/view.php?id=1618628","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618629","https://moodle2.brandeis.edu/mod/folder/view.php?id=1618631","https://moodle2.brandeis.edu/mod/url/view.php?id=1618632"]
urls = ["https://www.predictiveanalyticstoday.com/predictive-modeling/","https://www.predictiveanalyticstoday.com/predictive-modeling/","https://www.academia.edu/2467733/Predictive_Analytics_in_the_Gaming_Industry","https://www.statmethods.net/stats/rdiagnostics.html","https://opexresources.com/analysis-residuals-explained/","http://www.r-tutor.com/elementary-statistics/simple-linear-regression/residual-plot","https://drsimonj.svbtle.com/visualising-residuals","http://www.cio.com/article/2377954/data-management/8-ways-big-data-and-analytics-will-change-sports.html","https://www.linkedin.com/learning/advanced-predictive-modeling-mastering-ensembles-and-metamodeling/ensemble-wins-netflix-prize?u=41910396","https://www.linkedin.com/learning/advanced-predictive-modeling-mastering-ensembles-and-metamodeling/what-is-an-ensemble?u=41910396","https://www.linkedin.com/learning/advanced-predictive-modeling-mastering-ensembles-and-metamodeling/types-of-models-and-modeling-algorithms?u=41910396","https://www.linkedin.com/learning/advanced-predictive-modeling-mastering-ensembles-and-metamodeling/types-of-ensembles?u=41910396","http://www.predictiveanalyticstoday.com/top-30-software-for-text-analysis-text-mining-text-analytics/","https://www.linkedin.com/learning/text-analytics-and-predictions-with-r-essential-training/predictive-text-concepts?u=41910396","http://www.predictiveanalyticstoday.com/deployment-predictive-models/","https://www.youtube.com/watch?v=c7Ehr6bEnyU","https://towardsdatascience.com/why-is-machine-learning-deployment-hard-443af67493cd"]
from selenium import webdriver
from selenium.webdriver.remote.webdriver import WebDriver
import time
driver = webdriver.Chrome()
# executor_url = driver.command_executor._url
# session_id = driver.session_id
driver.get('https://moodle2.brandeis.edu/mod/url/view.php?id=1618632')
print(".")
alltext = ''
for page in urls:
time.sleep(4)
driver.get(page)
time.sleep(4)
text = driver.find_element_by_xpath("/html/body").text
print(text)
alltext += text
file = open("/Volumes/My Passport for Mac/SchoolApp/lattefile_compiled_parsed.txt",'w+')
file.write(alltext)
file.close()
driver.quit()
'''
'''
| 181.685714
| 4,162
| 0.782985
| 951
| 6,359
| 5.219769
| 0.225026
| 0.145044
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| 0.278002
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| 0.663981
| 0.663981
| 0.641015
| 0.177075
| 0
| 0.089821
| 0.01431
| 6,359
| 35
| 4,163
| 181.685714
| 0.702138
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| 0.893017
| 0.006856
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| false
| 0.05
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| 0
| 0
|
0
| 6
|
241d74008b5f83c55da67dee3f0f22cc28f76a41
| 57
|
py
|
Python
|
data/__init__.py
|
yhg0112/Hierarchical_Context_Encoder
|
5d8f581d68920950a388ae628be4d92b3e0186dd
|
[
"Apache-2.0"
] | null | null | null |
data/__init__.py
|
yhg0112/Hierarchical_Context_Encoder
|
5d8f581d68920950a388ae628be4d92b3e0186dd
|
[
"Apache-2.0"
] | null | null | null |
data/__init__.py
|
yhg0112/Hierarchical_Context_Encoder
|
5d8f581d68920950a388ae628be4d92b3e0186dd
|
[
"Apache-2.0"
] | null | null | null |
from . import corpus_dataset
from . import de_en_iwslt17
| 19
| 28
| 0.824561
| 9
| 57
| 4.888889
| 0.777778
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 0.140351
| 57
| 2
| 29
| 28.5
| 0.857143
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| 1
| 0
| 1
| 0
|
0
| 6
|
2450f457524e0347b62a324b321eac3bd0860df8
| 124
|
py
|
Python
|
discord_pfp_banner_generator/__init__.py
|
victorbnl/discord-pp-banner-generator
|
7b72167010923b07e4a9c8dd6ea80979021f440b
|
[
"MIT"
] | 7
|
2021-08-22T12:38:38.000Z
|
2021-11-22T05:46:53.000Z
|
discord_pfp_banner_generator/__init__.py
|
victorbnl/discord-pp-banner-generator
|
7b72167010923b07e4a9c8dd6ea80979021f440b
|
[
"MIT"
] | 1
|
2022-01-07T19:43:32.000Z
|
2022-01-07T22:26:43.000Z
|
discord_pfp_banner_generator/__init__.py
|
victorbnl/discord-pp-banner-generator
|
7b72167010923b07e4a9c8dd6ea80979021f440b
|
[
"MIT"
] | null | null | null |
"""A script to generate a profile picture and a banner that show the same image on Discord"""
from .process import process
| 31
| 93
| 0.766129
| 21
| 124
| 4.52381
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177419
| 124
| 3
| 94
| 41.333333
| 0.931373
| 0.701613
| 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
|
79e5980d1214d9f0a6d7c7bd155c0f84d80fa3bc
| 1,396
|
py
|
Python
|
load_data.py
|
adarshchbs/disentanglement
|
77e74409cd0220dbfd9e2809688500dcb2ecf5a5
|
[
"MIT"
] | null | null | null |
load_data.py
|
adarshchbs/disentanglement
|
77e74409cd0220dbfd9e2809688500dcb2ecf5a5
|
[
"MIT"
] | null | null | null |
load_data.py
|
adarshchbs/disentanglement
|
77e74409cd0220dbfd9e2809688500dcb2ecf5a5
|
[
"MIT"
] | null | null | null |
import numpy as np
sketch_x_train = np.load('/home/adarsh/project/disentanglement/saved_features/da_sketchy_feature_train.npy',allow_pickle=True)
sketch_y_train = np.load('/home/adarsh/project/disentanglement/saved_features/da_sketchy_label_train.npy',allow_pickle=True)
print('1')
sketch_x_val = np.load('/home/adarsh/project/disentanglement/saved_features/da_sketchy_feature_val.npy',allow_pickle=True)
sketch_y_val = np.load('/home/adarsh/project/disentanglement/saved_features/da_sketchy_label_val.npy',allow_pickle=True)
print('2')
quick_draw_x_val = np.load('/home/adarsh/project/disentanglement/saved_features/da_quick_draw_feature_val.npy',allow_pickle=True)
quick_draw_y_val = np.load('/home/adarsh/project/disentanglement/saved_features/da_quick_draw_label_val.npy',allow_pickle=True)
print('3')
quick_draw_x_train = np.load('/home/adarsh/project/disentanglement/saved_features/da_quick_draw_feature_train.npy',allow_pickle=True)
# quick_draw_y_train = np.load('/home/adarsh/project/disentanglement/saved_features/da_quick_draw_label_train.npy',allow_pickle=True)
print('4')
# sketch_y_train = np.array(list(map(int,sketch_y_train)))
# np.save('/home/adarsh/project/disentanglement/saved_features/da_sketchy_label_train.npy',sketch_y_train)
# print(np.average(np.abs(sketch_x_train[0:1000])))
# from collections import Counter
# c = Counter(sketch_y_val)
# print(min(c.values()))
| 53.692308
| 133
| 0.825215
| 222
| 1,396
| 4.837838
| 0.207207
| 0.083799
| 0.142458
| 0.268156
| 0.809125
| 0.809125
| 0.749534
| 0.606145
| 0.606145
| 0.606145
| 0
| 0.006726
| 0.041547
| 1,396
| 26
| 134
| 53.692308
| 0.795964
| 0.303725
| 0
| 0
| 0
| 0
| 0.579275
| 0.57513
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.083333
| 0.333333
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
03183ec6d84fdecf8c32cbb13b6c805b39b6297c
| 101
|
py
|
Python
|
week09/code02.py
|
byeongal/KMUCP
|
5bafe02c40aae67fc53d9e6cdcb727929368587e
|
[
"MIT"
] | null | null | null |
week09/code02.py
|
byeongal/KMUCP
|
5bafe02c40aae67fc53d9e6cdcb727929368587e
|
[
"MIT"
] | null | null | null |
week09/code02.py
|
byeongal/KMUCP
|
5bafe02c40aae67fc53d9e6cdcb727929368587e
|
[
"MIT"
] | 1
|
2019-11-27T20:28:19.000Z
|
2019-11-27T20:28:19.000Z
|
def print_my_info():
print("안녕하세요.")
print("홍길동입니다.")
print("만나서반갑습니다.")
print_my_info()
| 16.833333
| 22
| 0.623762
| 13
| 101
| 4.538462
| 0.538462
| 0.237288
| 0.372881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178218
| 101
| 6
| 23
| 16.833333
| 0.710843
| 0
| 0
| 0
| 0
| 0
| 0.215686
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
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| 0.2
| 1
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| null | 1
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| 0
| 0
| 0
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| 1
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| 0
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| null | 0
| 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
300194d1b82175b31e4e961fb4cdac0bac3f9fd5
| 96
|
py
|
Python
|
terrascript/http/__init__.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
terrascript/http/__init__.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
terrascript/http/__init__.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
# terrascript/http/__init__.py
import terrascript
class http(terrascript.Provider):
pass
| 12
| 33
| 0.770833
| 11
| 96
| 6.363636
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145833
| 96
| 7
| 34
| 13.714286
| 0.853659
| 0.291667
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
302138780190d3a7e167cc35197080b89848da2f
| 255
|
py
|
Python
|
lighthouse/classes/event_properties/exceptions.py
|
sanger/lighthouse
|
ded48ed20829301f7a131e5711532ee237982050
|
[
"MIT"
] | 1
|
2021-11-14T19:57:03.000Z
|
2021-11-14T19:57:03.000Z
|
lighthouse/classes/event_properties/exceptions.py
|
sanger/lighthouse
|
ded48ed20829301f7a131e5711532ee237982050
|
[
"MIT"
] | 496
|
2020-04-23T07:45:53.000Z
|
2022-03-31T14:33:01.000Z
|
lighthouse/classes/event_properties/exceptions.py
|
sanger/lighthouse
|
ded48ed20829301f7a131e5711532ee237982050
|
[
"MIT"
] | 3
|
2020-11-01T23:41:08.000Z
|
2021-02-23T16:09:40.000Z
|
class EventPropertyError(Exception):
pass
class ValidationError(Exception):
def __init__(self, message: str):
self.message = message
class RetrievalError(Exception):
def __init__(self, message: str):
self.message = message
| 19.615385
| 37
| 0.701961
| 26
| 255
| 6.576923
| 0.423077
| 0.25731
| 0.187135
| 0.233918
| 0.561404
| 0.561404
| 0.561404
| 0.561404
| 0.561404
| 0
| 0
| 0
| 0.207843
| 255
| 12
| 38
| 21.25
| 0.846535
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.125
| 0
| 0
| 0.625
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 6
|
305f8d2b41b6d3fca0974413e00ada3b515f238a
| 33
|
py
|
Python
|
blackout_service.py
|
navoznov/PlannedElectricityBlackoutTelegramBot
|
4037362613f0c4627b4b05c200492ca1628bd582
|
[
"MIT"
] | null | null | null |
blackout_service.py
|
navoznov/PlannedElectricityBlackoutTelegramBot
|
4037362613f0c4627b4b05c200492ca1628bd582
|
[
"MIT"
] | null | null | null |
blackout_service.py
|
navoznov/PlannedElectricityBlackoutTelegramBot
|
4037362613f0c4627b4b05c200492ca1628bd582
|
[
"MIT"
] | null | null | null |
from blackout import Blackout
| 11
| 30
| 0.787879
| 4
| 33
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 33
| 2
| 31
| 16.5
| 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
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| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
30675d29d92c5915e0d94ffd485837c6c59775f3
| 23,279
|
py
|
Python
|
pyVmomi/_typeinfo_sps.py
|
xweichu/pyvmomi
|
77aedef02974a63517a079c482e49fd9890c09a4
|
[
"Apache-2.0"
] | null | null | null |
pyVmomi/_typeinfo_sps.py
|
xweichu/pyvmomi
|
77aedef02974a63517a079c482e49fd9890c09a4
|
[
"Apache-2.0"
] | null | null | null |
pyVmomi/_typeinfo_sps.py
|
xweichu/pyvmomi
|
77aedef02974a63517a079c482e49fd9890c09a4
|
[
"Apache-2.0"
] | null | null | null |
# ******* WARNING - AUTO GENERATED CODE - DO NOT EDIT *******
from .VmomiSupport import CreateDataType, CreateManagedType
from .VmomiSupport import CreateEnumType
from .VmomiSupport import AddVersion, AddVersionParent
from .VmomiSupport import AddBreakingChangesInfo
from .VmomiSupport import F_LINK, F_LINKABLE
from .VmomiSupport import F_OPTIONAL, F_SECRET
from .VmomiSupport import newestVersions, ltsVersions
from .VmomiSupport import dottedVersions, oldestVersions
AddVersion("vmodl.query.version.version4", "", "", 0, "vim25")
AddVersion("vmodl.query.version.version3", "", "", 0, "vim25")
AddVersion("vmodl.query.version.version2", "", "", 0, "vim25")
AddVersion("vmodl.query.version.version1", "", "", 0, "vim25")
AddVersion("vim.version.version6", "vim25", "4.1", 0, "vim25")
AddVersion("vim.version.version7", "vim25", "5.0", 0, "vim25")
AddVersion("vim.version.version1", "vim2", "2.0", 0, "vim25")
AddVersion("vim.version.version4", "vim25", "2.5u2server", 0, "vim25")
AddVersion("vim.version.version5", "vim25", "4.0", 0, "vim25")
AddVersion("vim.version.version2", "vim25", "2.5", 0, "vim25")
AddVersion("vim.version.version3", "vim25", "2.5u2", 0, "vim25")
AddVersion("vmodl.version.version0", "", "", 0, "vim25")
AddVersion("vmodl.version.version1", "", "", 0, "vim25")
AddVersion("vmodl.version.version2", "", "", 0, "vim25")
AddVersion("vmodl.reflect.version.version1", "reflect", "1.0", 0, "reflect")
AddVersion("sps.version.version1", "sps", "1.0", 0, "sps")
AddVersionParent("vmodl.query.version.version4", "vmodl.query.version.version4")
AddVersionParent("vmodl.query.version.version4", "vmodl.query.version.version3")
AddVersionParent("vmodl.query.version.version4", "vmodl.query.version.version2")
AddVersionParent("vmodl.query.version.version4", "vmodl.query.version.version1")
AddVersionParent("vmodl.query.version.version4", "vmodl.version.version0")
AddVersionParent("vmodl.query.version.version4", "vmodl.version.version1")
AddVersionParent("vmodl.query.version.version4", "vmodl.version.version2")
AddVersionParent("vmodl.query.version.version3", "vmodl.query.version.version3")
AddVersionParent("vmodl.query.version.version3", "vmodl.query.version.version2")
AddVersionParent("vmodl.query.version.version3", "vmodl.query.version.version1")
AddVersionParent("vmodl.query.version.version3", "vmodl.version.version0")
AddVersionParent("vmodl.query.version.version3", "vmodl.version.version1")
AddVersionParent("vmodl.query.version.version2", "vmodl.query.version.version2")
AddVersionParent("vmodl.query.version.version2", "vmodl.query.version.version1")
AddVersionParent("vmodl.query.version.version2", "vmodl.version.version0")
AddVersionParent("vmodl.query.version.version2", "vmodl.version.version1")
AddVersionParent("vmodl.query.version.version1", "vmodl.query.version.version1")
AddVersionParent("vmodl.query.version.version1", "vmodl.version.version0")
AddVersionParent("vim.version.version6", "vmodl.query.version.version3")
AddVersionParent("vim.version.version6", "vmodl.query.version.version2")
AddVersionParent("vim.version.version6", "vmodl.query.version.version1")
AddVersionParent("vim.version.version6", "vim.version.version6")
AddVersionParent("vim.version.version6", "vim.version.version1")
AddVersionParent("vim.version.version6", "vim.version.version4")
AddVersionParent("vim.version.version6", "vim.version.version5")
AddVersionParent("vim.version.version6", "vim.version.version2")
AddVersionParent("vim.version.version6", "vim.version.version3")
AddVersionParent("vim.version.version6", "vmodl.version.version0")
AddVersionParent("vim.version.version6", "vmodl.version.version1")
AddVersionParent("vim.version.version7", "vmodl.query.version.version4")
AddVersionParent("vim.version.version7", "vmodl.query.version.version3")
AddVersionParent("vim.version.version7", "vmodl.query.version.version2")
AddVersionParent("vim.version.version7", "vmodl.query.version.version1")
AddVersionParent("vim.version.version7", "vim.version.version6")
AddVersionParent("vim.version.version7", "vim.version.version7")
AddVersionParent("vim.version.version7", "vim.version.version1")
AddVersionParent("vim.version.version7", "vim.version.version4")
AddVersionParent("vim.version.version7", "vim.version.version5")
AddVersionParent("vim.version.version7", "vim.version.version2")
AddVersionParent("vim.version.version7", "vim.version.version3")
AddVersionParent("vim.version.version7", "vmodl.version.version0")
AddVersionParent("vim.version.version7", "vmodl.version.version1")
AddVersionParent("vim.version.version7", "vmodl.version.version2")
AddVersionParent("vim.version.version7", "vmodl.reflect.version.version1")
AddVersionParent("vim.version.version1", "vmodl.query.version.version1")
AddVersionParent("vim.version.version1", "vim.version.version1")
AddVersionParent("vim.version.version1", "vmodl.version.version0")
AddVersionParent("vim.version.version4", "vmodl.query.version.version1")
AddVersionParent("vim.version.version4", "vim.version.version1")
AddVersionParent("vim.version.version4", "vim.version.version4")
AddVersionParent("vim.version.version4", "vim.version.version2")
AddVersionParent("vim.version.version4", "vim.version.version3")
AddVersionParent("vim.version.version4", "vmodl.version.version0")
AddVersionParent("vim.version.version5", "vmodl.query.version.version2")
AddVersionParent("vim.version.version5", "vmodl.query.version.version1")
AddVersionParent("vim.version.version5", "vim.version.version1")
AddVersionParent("vim.version.version5", "vim.version.version4")
AddVersionParent("vim.version.version5", "vim.version.version5")
AddVersionParent("vim.version.version5", "vim.version.version2")
AddVersionParent("vim.version.version5", "vim.version.version3")
AddVersionParent("vim.version.version5", "vmodl.version.version0")
AddVersionParent("vim.version.version5", "vmodl.version.version1")
AddVersionParent("vim.version.version2", "vmodl.query.version.version1")
AddVersionParent("vim.version.version2", "vim.version.version1")
AddVersionParent("vim.version.version2", "vim.version.version2")
AddVersionParent("vim.version.version2", "vmodl.version.version0")
AddVersionParent("vim.version.version3", "vmodl.query.version.version1")
AddVersionParent("vim.version.version3", "vim.version.version1")
AddVersionParent("vim.version.version3", "vim.version.version2")
AddVersionParent("vim.version.version3", "vim.version.version3")
AddVersionParent("vim.version.version3", "vmodl.version.version0")
AddVersionParent("vmodl.version.version0", "vmodl.version.version0")
AddVersionParent("vmodl.version.version1", "vmodl.version.version0")
AddVersionParent("vmodl.version.version1", "vmodl.version.version1")
AddVersionParent("vmodl.version.version2", "vmodl.version.version0")
AddVersionParent("vmodl.version.version2", "vmodl.version.version1")
AddVersionParent("vmodl.version.version2", "vmodl.version.version2")
AddVersionParent("vmodl.reflect.version.version1", "vmodl.version.version0")
AddVersionParent("vmodl.reflect.version.version1", "vmodl.version.version1")
AddVersionParent("vmodl.reflect.version.version1", "vmodl.version.version2")
AddVersionParent("vmodl.reflect.version.version1", "vmodl.reflect.version.version1")
AddVersionParent("sps.version.version1", "vmodl.query.version.version4")
AddVersionParent("sps.version.version1", "vmodl.query.version.version3")
AddVersionParent("sps.version.version1", "vmodl.query.version.version2")
AddVersionParent("sps.version.version1", "vmodl.query.version.version1")
AddVersionParent("sps.version.version1", "vim.version.version6")
AddVersionParent("sps.version.version1", "vim.version.version7")
AddVersionParent("sps.version.version1", "vim.version.version1")
AddVersionParent("sps.version.version1", "vim.version.version4")
AddVersionParent("sps.version.version1", "vim.version.version5")
AddVersionParent("sps.version.version1", "vim.version.version2")
AddVersionParent("sps.version.version1", "vim.version.version3")
AddVersionParent("sps.version.version1", "vmodl.version.version0")
AddVersionParent("sps.version.version1", "vmodl.version.version1")
AddVersionParent("sps.version.version1", "vmodl.version.version2")
AddVersionParent("sps.version.version1", "vmodl.reflect.version.version1")
AddVersionParent("sps.version.version1", "sps.version.version1")
newestVersions.Add("sps.version.version1")
ltsVersions.Add("sps.version.version1")
dottedVersions.Add("sps.version.version1")
oldestVersions.Add("sps.version.version1")
CreateManagedType("sps.StorageProfileServer", "StorageProfileServer", "vmodl.ManagedObject", "sps.version.version1", [("serverGuid", "string", "sps.version.version1", 0, "StorageProfile.View")], [("queryServerGuid", "QueryServerGuid", "sps.version.version1", (), (0, "string", "string"), "StorageProfile.View", None)])
CreateDataType("sps.VirtualDiskMarker", "VirtualDiskMarker", "vmodl.DynamicData", "sps.version.version1", [("controllerType", "vmodl.TypeName", "sps.version.version1", F_OPTIONAL), ("busNumber", "int", "sps.version.version1", F_OPTIONAL), ("unitNumber", "int", "sps.version.version1", F_OPTIONAL), ("profile", "sps.profile.StorageProfile", "sps.version.version1", F_OPTIONAL), ("diskKey", "int", "sps.version.version1", F_OPTIONAL)])
CreateManagedType("sps.VirtualDiskTaskTracker", "VirtualDiskTaskTracker", "vmodl.ManagedObject", "sps.version.version1", None, [("trackTask", "TrackTask", "sps.version.version1", (("task", "vim.Task", "sps.version.version1", 0, None),("vm", "vim.VirtualMachine", "sps.version.version1", F_OPTIONAL, None),("vmHomeProfile", "sps.profile.StorageProfile", "sps.version.version1", F_OPTIONAL, None),("disk", "sps.VirtualDiskMarker[]", "sps.version.version1", F_OPTIONAL, None),("checkAllCompliance", "boolean", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.View", None)])
CreateManagedType("sps.datastore.StorageCapability", "DatastoreStorageCapability", "vmodl.ManagedObject", "sps.version.version1", [("datastore", "vim.Datastore[]", "sps.version.version1", F_OPTIONAL, "StorageProfile.View")], [("queryDatastore", "QueryDatastore", "sps.version.version1", (), (F_OPTIONAL, "vim.Datastore[]", "vim.Datastore[]"), "StorageProfile.View", None), ("associateDatastore", "AssociateDatastore", "sps.version.version1", (("datastore", "vim.Datastore[]", "sps.version.version1", 0, None),), (0, "void", "void"), "StorageProfile.Update", None), ("dissociateDatastore", "DissociateDatastore", "sps.version.version1", (("datastore", "vim.Datastore[]", "sps.version.version1", 0, None),), (0, "void", "void"), "StorageProfile.Update", None), ("destroy", "DestroyCapability", "sps.version.version1", (), (0, "void", "void"), "StorageProfile.Update", None)])
CreateManagedType("sps.datastore.StorageLabelCapability", "DatastoreStorageLabelCapability", "sps.datastore.StorageCapability", "sps.version.version1", [("label", "string", "sps.version.version1", 0, "StorageProfile.View"), ("description", "string", "sps.version.version1", F_OPTIONAL, "StorageProfile.View")], [("queryLabel", "QueryStorageLabelCapabilityLabel", "sps.version.version1", (), (0, "string", "string"), "StorageProfile.View", None), ("queryDescription", "QueryStorageLabelCapabilityDescription", "sps.version.version1", (), (F_OPTIONAL, "string", "string"), "StorageProfile.View", None), ("queryInformation", "QueryStorageLabelCapabilityInformation", "sps.version.version1", (), (0, "sps.datastore.StorageLabelCapability.Information", "sps.datastore.StorageLabelCapability.Information"), "StorageProfile.View", None)])
CreateDataType("sps.datastore.StorageLabelCapability.Information", "DatastoreStorageLabelCapabilityInformation", "vmodl.DynamicData", "sps.version.version1", [("capability", "sps.datastore.StorageLabelCapability", "sps.version.version1", 0), ("label", "string", "sps.version.version1", 0), ("description", "string", "sps.version.version1", F_OPTIONAL), ("datastore", "vim.Datastore[]", "sps.version.version1", F_OPTIONAL)])
CreateManagedType("sps.datastore.SystemLabelCapability", "DatastoreSystemLabelCapability", "sps.datastore.StorageLabelCapability", "sps.version.version1", None, None)
CreateManagedType("sps.profile.ComplianceManager", "StorageComplianceManager", "vim.profile.ComplianceManager", "sps.version.version1", None, [("checkComplianceForVmDisk", "CheckComplianceForVmDisk", "sps.version.version1", (("profile", "vim.profile.Profile[]", "sps.version.version1", F_OPTIONAL, None),("vmDisk", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "sps.profile.ComplianceResultForVmDisk[]", "sps.profile.ComplianceResultForVmDisk[]"), "StorageProfile.View", None), ("queryStorageComplianceStatus", "QueryStorageComplianceStatus", "sps.version.version1", (("profile", "sps.profile.StorageProfile[]", "sps.version.version1", F_OPTIONAL, None),("entity", "vim.VirtualMachine[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.profile.ComplianceResult[]", "vim.profile.ComplianceResult[]"), "StorageProfile.View", None), ("clearStorageComplianceStatus", "ClearStorageComplianceStatus", "sps.version.version1", (("profile", "sps.profile.StorageProfile[]", "sps.version.version1", F_OPTIONAL, None),("entity", "vim.VirtualMachine[]", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.Update", None), ("queryComplianceStatusForVmDisk", "QueryComplianceStatusForVmDisk", "sps.version.version1", (("profile", "vim.profile.Profile[]", "sps.version.version1", F_OPTIONAL, None),("vmDisk", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "sps.profile.ComplianceResultForVmDisk[]", "sps.profile.ComplianceResultForVmDisk[]"), "StorageProfile.View", None), ("clearComplianceStatusForVmDisk", "ClearComplianceStatusForVmDisk", "sps.version.version1", (("profile", "vim.profile.Profile[]", "sps.version.version1", F_OPTIONAL, None),("vmDisk", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.Update", None), ("checkStorageProfileCompliance", "CheckComplianceForVmHomeProfile", "sps.version.version1", (("profile", "vim.profile.Profile[]", "sps.version.version1", F_OPTIONAL, None),("entity", "vim.ManagedEntity[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.profile.ComplianceResult[]", "vim.profile.ComplianceResult[]"), "StorageProfile.View", None), ("checkRollupCompliance", "CheckStorageRollupCompliance", "sps.version.version1", (("entity", "vim.VirtualMachine[]", "sps.version.version1", 0, None),), (F_OPTIONAL, "sps.profile.RollupComplianceResult[]", "sps.profile.RollupComplianceResult[]"), "StorageProfile.View", None), ("queryRollupComplianceStatus", "QueryStorageRollupComplianceStatus", "sps.version.version1", (("entity", "vim.VirtualMachine[]", "sps.version.version1", 0, None),), (F_OPTIONAL, "sps.profile.RollupComplianceResult[]", "sps.profile.RollupComplianceResult[]"), "StorageProfile.View", None), ("queryMatchingDatastore", "QueryMatchingDatastoreForVms", "sps.version.version1", (("entity", "vim.VirtualMachine[]", "sps.version.version1", 0, None),("datastore", "vim.Datastore[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.Datastore[]", "vim.Datastore[]"), "StorageProfile.View", None), ("queryMatchingStoragePod", "QueryMatchingStoragePodForVms", "sps.version.version1", (("entity", "vim.VirtualMachine[]", "sps.version.version1", 0, None),("storagePod", "vim.StoragePod[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.StoragePod[]", "vim.StoragePod[]"), "StorageProfile.View", None)])
CreateDataType("sps.profile.ComplianceResultForVmDisk", "ProfileComplianceResultForVmDisk", "vim.profile.ComplianceResult", "sps.version.version1", [("vmDisk", "sps.profile.VirtualMachineDisk", "sps.version.version1", F_OPTIONAL)])
CreateDataType("sps.profile.RollupComplianceResult", "ProfileRollupComplianceResult", "vmodl.DynamicData", "sps.version.version1", [("entity", "vim.ManagedEntity", "sps.version.version1", 0), ("result", "vim.profile.ComplianceResult[]", "sps.version.version1", 0), ("rollupComplianceStatus", "string", "sps.version.version1", 0), ("oldestCheckTime", "vmodl.DateTime", "sps.version.version1", F_OPTIONAL)])
CreateManagedType("sps.profile.StorageProfile", "SpsStorageProfile", "vim.profile.Profile", "sps.version.version1", [("associatedDisk", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", F_OPTIONAL, "StorageProfile.View")], [("associateVirtualDisk", "AssociateVirtualDisk", "sps.version.version1", (("disks", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", 0, None),), (0, "void", "void"), "StorageProfile.Update", None), ("dissociateVirtualDisk", "DissociateVirtualDisk", "sps.version.version1", (("disks", "sps.profile.VirtualMachineDisk[]", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.Update", None), ("queryAssociatedDisk", "QueryAssociatedDisk", "sps.version.version1", (), (F_OPTIONAL, "sps.profile.VirtualMachineDisk[]", "sps.profile.VirtualMachineDisk[]"), "StorageProfile.View", None), ("queryConfigInfo", "QueryConfigInfo", "sps.version.version1", (), (F_OPTIONAL, "sps.profile.StorageProfile.ConfigInfo", "sps.profile.StorageProfile.ConfigInfo"), "StorageProfile.View", None), ("queryMatchingDatastore", "QueryMatchingDatastore", "sps.version.version1", (("datastores", "vim.Datastore[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.Datastore[]", "vim.Datastore[]"), "StorageProfile.View", None), ("queryMatchingStoragePod", "QueryMatchingStoragePod", "sps.version.version1", (("storagePods", "vim.StoragePod[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.StoragePod[]", "vim.StoragePod[]"), "StorageProfile.View", None), ("update", "UpdateStorageProfile", "sps.version.version1", (("spec", "sps.profile.StorageProfile.ConfigSpec", "sps.version.version1", 0, None),), (0, "void", "void"), "StorageProfile.Update", None), ("queryModifiedTime", "QueryModifiedTime", "sps.version.version1", (), (0, "vmodl.DateTime", "vmodl.DateTime"), "StorageProfile.View", None), ("queryCreatedTime", "QueryCreatedTime", "sps.version.version1", (), (0, "vmodl.DateTime", "vmodl.DateTime"), "StorageProfile.View", None), ("queryName", "QueryStorageProfileName", "sps.version.version1", (), (0, "string", "string"), "StorageProfile.View", None), ("queryEntity", "QueryStorageProfileEntity", "sps.version.version1", (), (F_OPTIONAL, "vim.ManagedEntity[]", "vim.ManagedEntity[]"), "StorageProfile.View", None), ("queryStorageProfileConfig", "QueryStorageProfileConfig", "sps.version.version1", (), (F_OPTIONAL, "sps.profile.StorageProfile.ConfigInfo", "sps.profile.StorageProfile.ConfigInfo"), "StorageProfile.View", None), ("queryComplianceStatus", "QueryStorageProfileComplianceStatus", "sps.version.version1", (), (F_OPTIONAL, "string", "string"), "StorageProfile.View", None), ("destroyStorageProfile", "DestroyStorageProfile", "sps.version.version1", (), (0, "void", "void"), "StorageProfile.Update", None), ("associateStorageEntities", "AssociateStorageEntities", "sps.version.version1", (("entity", "vim.ManagedEntity[]", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.Update", None), ("dissociateStorageEntities", "DissociateStorageEntities", "sps.version.version1", (("entity", "vim.ManagedEntity[]", "sps.version.version1", F_OPTIONAL, None),), (0, "void", "void"), "StorageProfile.Update", None), ("checkStorageProfileCompliance", "CheckStorageProfileCompliance", "sps.version.version1", (("entity", "vim.ManagedEntity[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "vim.profile.ComplianceResult[]", "vim.profile.ComplianceResult[]"), "StorageProfile.View", None)])
CreateDataType("sps.profile.StorageProfile.ConfigInfo", "SpsStorageProfileConfigInfo", "vim.profile.Profile.ConfigInfo", "sps.version.version1", [("storageProfile", "sps.profile.StorageProfile", "sps.version.version1", 0), ("profile", "vim.profile.ApplyProfile", "sps.version.version1", F_OPTIONAL)])
CreateDataType("sps.profile.StorageProfile.ConfigSpec", "SpsStorageProfileConfigSpec", "vim.profile.Profile.CreateSpec", "sps.version.version1", None)
CreateDataType("sps.profile.StorageProfile.LabelConfigSpec", "SpsStorageProfileLabelConfigSpec", "sps.profile.StorageProfile.ConfigSpec", "sps.version.version1", [("systemLabel", "string[]", "sps.version.version1", F_OPTIONAL), ("customLabel", "string[]", "sps.version.version1", F_OPTIONAL)])
CreateDataType("sps.profile.VirtualMachineDisk", "ProfileVirtualMachineDisk", "vmodl.DynamicData", "sps.version.version1", [("vm", "vim.VirtualMachine", "sps.version.version1", 0), ("diskKey", "int", "sps.version.version1", 0)])
CreateManagedType("sps.datastore.CustomLabelCapability", "DatastoreCustomLabelCapability", "sps.datastore.StorageLabelCapability", "sps.version.version1", None, [("updateDescription", "UpdateCustomCapability", "sps.version.version1", (("description", "string", "sps.version.version1", 0, None),), (0, "void", "void"), "StorageProfile.Update", None)])
CreateManagedType("sps.datastore.StorageCapabilityService", "DatastoreStorageCapabilityService", "vmodl.ManagedObject", "sps.version.version1", [("capability", "sps.datastore.StorageCapability[]", "sps.version.version1", F_OPTIONAL, "StorageProfile.View")], [("queryLabelCapabilityInfo", "QueryLabelCapabilityInfo", "sps.version.version1", (("capability", "sps.datastore.StorageLabelCapability[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "sps.datastore.StorageLabelCapability.Information[]", "sps.datastore.StorageLabelCapability.Information[]"), "StorageProfile.View", None), ("queryCapability", "QueryCapability", "sps.version.version1", (), (F_OPTIONAL, "sps.datastore.StorageCapability[]", "sps.datastore.StorageCapability[]"), "StorageProfile.View", None)])
CreateManagedType("sps.profile.ProfileManager", "StorageProfileManager", "vim.profile.ProfileManager", "sps.version.version1", None, [("createStorageProfile", "CreateStorageProfile", "sps.version.version1", (("createSpec", "vim.profile.Profile.CreateSpec", "sps.version.version1", 0, None),), (0, "sps.profile.StorageProfile", "sps.profile.StorageProfile"), "StorageProfile.Update", ["vim.fault.DuplicateName", ]), ("findAssociatedProfileForDisk", "FindAssociatedProfileForDisk", "sps.version.version1", (("disk", "sps.profile.VirtualMachineDisk", "sps.version.version1", 0, None),), (F_OPTIONAL, "sps.profile.StorageProfile[]", "sps.profile.StorageProfile[]"), "StorageProfile.View", None), ("queryProfile", "QueryProfile", "sps.version.version1", (), (F_OPTIONAL, "sps.profile.StorageProfile[]", "sps.profile.StorageProfile[]"), "StorageProfile.View", None), ("queryProfileConfigInfo", "QueryProfileConfigInfo", "sps.version.version1", (("profile", "sps.profile.StorageProfile[]", "sps.version.version1", F_OPTIONAL, None),), (F_OPTIONAL, "sps.profile.StorageProfile.ConfigInfo[]", "sps.profile.StorageProfile.ConfigInfo[]"), "StorageProfile.View", None), ("findAssociatedStorageProfile", "FindAssociatedStorageProfile", "sps.version.version1", (("entity", "vim.VirtualMachine", "sps.version.version1", 0, None),), (F_OPTIONAL, "sps.profile.StorageProfile[]", "sps.profile.StorageProfile[]"), "StorageProfile.View", None)])
| 157.290541
| 3,514
| 0.762103
| 2,298
| 23,279
| 7.68973
| 0.079199
| 0.167223
| 0.151774
| 0.054836
| 0.750948
| 0.710939
| 0.588591
| 0.462679
| 0.337898
| 0.271914
| 0
| 0.02076
| 0.046093
| 23,279
| 147
| 3,515
| 158.360544
| 0.775016
| 0.002534
| 0
| 0
| 1
| 0
| 0.663968
| 0.322465
| 0
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| 0
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| 0
| true
| 0
| 0.055944
| 0
| 0.055944
| 0
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| null | 0
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| null | 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
2315d1138ea9867fc4a3057488e768ef7c38968e
| 156
|
py
|
Python
|
security/admin.py
|
daniel5gh/django-security
|
427b11b613a508df637a745cbceb3aaa505bed04
|
[
"BSD-4-Clause"
] | 223
|
2015-02-10T15:22:37.000Z
|
2022-03-07T03:45:11.000Z
|
security/admin.py
|
daniel5gh/django-security
|
427b11b613a508df637a745cbceb3aaa505bed04
|
[
"BSD-4-Clause"
] | 51
|
2015-01-01T17:46:20.000Z
|
2022-03-22T14:18:19.000Z
|
security/admin.py
|
daniel5gh/django-security
|
427b11b613a508df637a745cbceb3aaa505bed04
|
[
"BSD-4-Clause"
] | 47
|
2015-01-01T15:46:38.000Z
|
2022-03-17T14:36:13.000Z
|
from django.contrib import admin
from security.models import PasswordExpiry, CspReport
admin.site.register(PasswordExpiry)
admin.site.register(CspReport)
| 22.285714
| 53
| 0.846154
| 19
| 156
| 6.947368
| 0.578947
| 0.136364
| 0.257576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 156
| 6
| 54
| 26
| 0.923077
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| true
| 0.5
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| 1
| 1
| 0
| 0
| 0
|
0
| 6
|
234f691b99ec8edd765d64ab92960d9e4b9d58fd
| 33
|
py
|
Python
|
odoo-13.0/venv/lib/python3.8/site-packages/BmpImagePlugin.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 2
|
2021-06-20T16:56:45.000Z
|
2021-06-20T17:30:18.000Z
|
odoo-13.0/venv/lib/python3.8/site-packages/BmpImagePlugin.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/venv/lib/python3.8/site-packages/BmpImagePlugin.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
from PIL.BmpImagePlugin import *
| 16.5
| 32
| 0.818182
| 4
| 33
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 33
| 1
| 33
| 33
| 0.931034
| 0
| 0
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| true
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| null | 0
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| null | 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
88cd44770e19ffb6419cb41f200456e0e9d82bb4
| 23
|
py
|
Python
|
falkon/la_helpers/__init__.py
|
mohamad-amin/falkon
|
581c761b4a4cb7bf6a299613700db8414c419a52
|
[
"MIT"
] | 130
|
2020-06-18T08:30:30.000Z
|
2022-03-21T15:43:17.000Z
|
falkon/la_helpers/__init__.py
|
mohamad-amin/falkon
|
581c761b4a4cb7bf6a299613700db8414c419a52
|
[
"MIT"
] | 32
|
2020-06-26T09:24:45.000Z
|
2022-03-20T10:37:36.000Z
|
falkon/la_helpers/__init__.py
|
mohamad-amin/falkon
|
581c761b4a4cb7bf6a299613700db8414c419a52
|
[
"MIT"
] | 64
|
2015-03-05T13:50:14.000Z
|
2019-09-16T11:24:32.000Z
|
from .wrapper import *
| 11.5
| 22
| 0.73913
| 3
| 23
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0.173913
| 23
| 1
| 23
| 23
| 0.894737
| 0
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| null | 0
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| 1
| 0
| 1
| 0
|
0
| 6
|
cc42e34d831e2ba27a198d904f08b9f4108ed8e6
| 91
|
py
|
Python
|
entries/dal_views.py
|
acdh-oeaw/vhioe
|
83c8bce83d7cb21150f404409477d2cd1c7ee240
|
[
"MIT"
] | null | null | null |
entries/dal_views.py
|
acdh-oeaw/vhioe
|
83c8bce83d7cb21150f404409477d2cd1c7ee240
|
[
"MIT"
] | 10
|
2020-02-11T23:56:16.000Z
|
2021-12-13T19:45:38.000Z
|
entries/dal_views.py
|
acdh-oeaw/vhioe
|
83c8bce83d7cb21150f404409477d2cd1c7ee240
|
[
"MIT"
] | null | null | null |
from dal import autocomplete
class EintragAC(autocomplete.Select2QuerySetView):
pass
| 15.166667
| 50
| 0.813187
| 9
| 91
| 8.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012821
| 0.142857
| 91
| 5
| 51
| 18.2
| 0.935897
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
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| 0
| 0
| null | 0
| 0
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
cc86a295df1d7c52e28e5ea824bfb022af1fd32d
| 224
|
py
|
Python
|
learning/LearnPython3TheHardWay/ex48/tests/parser_tests.py
|
AlexanderTN/Python
|
b4896c5bc179f1ac95955719a9869795c7325319
|
[
"Apache-2.0"
] | 1
|
2021-09-09T11:43:13.000Z
|
2021-09-09T11:43:13.000Z
|
learning/LearnPython3TheHardWay/ex48/tests/parser_tests.py
|
AlexanderTN/Python
|
b4896c5bc179f1ac95955719a9869795c7325319
|
[
"Apache-2.0"
] | null | null | null |
learning/LearnPython3TheHardWay/ex48/tests/parser_tests.py
|
AlexanderTN/Python
|
b4896c5bc179f1ac95955719a9869795c7325319
|
[
"Apache-2.0"
] | 1
|
2021-09-09T11:43:15.000Z
|
2021-09-09T11:43:15.000Z
|
from nose.tools import *
from ex48 import parser
def test_parse():
# result = parser.parse("I want to go to the cabinet")
# print(result)
# assert_equal([(result.verb, result.obj)], [("go", "cabinet")])
pass
| 28
| 68
| 0.647321
| 32
| 224
| 4.46875
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011111
| 0.196429
| 224
| 8
| 69
| 28
| 0.783333
| 0.575893
| 0
| 0
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| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0.5
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| 0.75
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
aebf7cb05124e348f35e3994fb5bc065f2b5b25d
| 11,291
|
py
|
Python
|
torch_rc/optim/ridge.py
|
danieleds/Reservoir-Computing-in-PyTorch
|
949fdc890e2061be3643f1508634d641bd08724a
|
[
"MIT"
] | 9
|
2019-01-21T21:40:33.000Z
|
2021-02-25T11:54:33.000Z
|
torch_rc/optim/ridge.py
|
danieleds/TorchRC
|
949fdc890e2061be3643f1508634d641bd08724a
|
[
"MIT"
] | null | null | null |
torch_rc/optim/ridge.py
|
danieleds/TorchRC
|
949fdc890e2061be3643f1508634d641bd08724a
|
[
"MIT"
] | 4
|
2020-02-11T14:30:28.000Z
|
2020-06-10T04:54:28.000Z
|
import torch
import torch.nn.functional
from typing import Iterable
@torch.jit.script
def _incremental_ridge_init(input_size: int, output_size: int, device: torch.device):
mat_a = torch.zeros(output_size, input_size + 1, device=device)
mat_b = torch.zeros(input_size + 1, input_size + 1, device=device)
ide = torch.eye(input_size + 1, device=device)
return mat_a, mat_b, ide
@torch.jit.script
def _incremental_ridge_step(input, expected, mat_a, mat_b, classification: bool):
# Add bias
s = torch.cat([input, torch.ones(input.shape[0], 1, device=input.device, dtype=input.dtype)], dim=1)
if classification:
# Convert y into "one-hot"-like tensor with values -1/+1
y = torch.nn.functional.one_hot(expected, num_classes=mat_a.shape[0]).to(s.dtype).to(expected.device) * 2 - 1
else:
y = expected
# s: (nb, nr+1)
# y: (nb, ny)
mat_a = mat_a + torch.einsum('br,by->yr', s, y)
mat_b = mat_b + torch.einsum('br,bz->rz', s, s)
return mat_a, mat_b
@torch.jit.script
def _incremental_ridge_end(mat_a, mat_b, l2_reg: float, ide):
# Compute A @ (B + l2_reg * I)^{-1}
weights = torch.linalg.solve(mat_b + l2_reg * ide, mat_a.t()).t() # (ny, nr+1)
w, b = weights[:, :-1], weights[:, -1]
return w, b
@torch.jit.script
def _direct_ridge(input_size: int, output_size: int, input, expected, l2_reg: float, classification: bool):
"""
Args:
input_size:
output_size:
input:
expected:
l2_reg:
classification: True to perform classification, False to perform regression
Returns:
"""
assert input_size == input.shape[-1]
ide = torch.eye(input_size + 1, device=input.device)
# Add bias
s = torch.cat([input, torch.ones(input.shape[0], 1, device=input.device, dtype=input.dtype)], dim=1)
if classification:
# Convert y into "one-hot"-like tensor with values -1/+1
y = torch.nn.functional.one_hot(expected, num_classes=output_size).to(s.dtype).to(expected.device) * 2 - 1
else:
y = expected
# s: (nb, nr+1)
# y: (nb, ny)
mat_a = torch.einsum('br,by->yr', s, y)
mat_b = torch.einsum('br,bz->rz', s, s)
return _incremental_ridge_end(mat_a, mat_b, l2_reg, ide)
def _detect_parameters(params: Iterable):
if isinstance(params, torch.Tensor):
raise TypeError("params argument given to the optimizer should be "
"an iterable of Tensors, but got " +
torch.typename(params))
plist = list(params)
if len(plist) == 0:
raise ValueError("optimizer got an empty parameter list")
if len(plist) != 2:
raise ValueError(f"optimizer expected a list of 2 parameters, but got {len(plist)}")
# Find which one is the weight and which one is the bias
if len(plist[0].shape) > len(plist[1].shape):
w, b = plist[0], plist[1]
else:
w, b = plist[1], plist[0]
if w.shape[0] != b.shape[0]:
raise ValueError(f"the first dimension of the tensors should match, but got {tuple(w.shape[0])} "
f"and {tuple(b.shape[0])}")
return w, b
class _RidgeBase:
def __init__(self, params: Iterable, l2_reg: float, classification: bool):
self._l2_reg = l2_reg
self._classification = classification
w, b = _detect_parameters(params)
self._params = {'w': w, 'b': b}
self._input_size = w.shape[1]
self._output_size = w.shape[0]
def fit(self, input, expected):
"""Updates the parameters with the solution of the optimization problem.
Args:
input: input tensor of shape (batch, n_features)
expected: target tensor of shape:
- (batch, n_targets) in case of regression
- (batch,) in case of classification, with dtype=torch.Long
"""
if self._classification:
assert len(input.shape) == len(expected.shape) + 1, "Multi-target classification is not supported"
else:
assert len(input.shape) == len(expected.shape)
w, b = _direct_ridge(self._input_size, self._output_size, input, expected, self._l2_reg, self._classification)
self._apply_weights(w, b)
def _apply_weights(self, w, b):
assert self._params['w'].shape == w.shape
assert self._params['b'].shape == b.shape
self._params['w'].data = w
self._params['b'].data = b
class _RidgeIncrementalBase:
def __init__(self, params: Iterable, l2_reg: float, classification: bool):
self._l2_reg = l2_reg
self._classification = classification
w, b = _detect_parameters(params)
self._params = {'w': w, 'b': b}
self._input_size = w.shape[1]
self._output_size = w.shape[0]
device = w.device
self._mat_a, self._mat_b, self._ide = _incremental_ridge_init(self._input_size, self._output_size, device)
def fit_step(self, input, expected):
"""
Args:
input: input tensor of shape (batch, n_features)
expected: target tensor of shape:
- (batch, n_targets) in case of regression
- (batch,) in case of classification, with dtype=torch.Long
"""
if self._classification:
assert len(input.shape) == len(expected.shape) + 1, "Multi-target classification is not supported"
else:
assert len(input.shape) == len(expected.shape)
mat_a, mat_b = _incremental_ridge_step(input, expected, self._mat_a, self._mat_b, self._classification)
self._mat_a = mat_a
self._mat_b = mat_b
def fit_apply(self):
w, b = _incremental_ridge_end(self._mat_a, self._mat_b, self._l2_reg, self._ide)
self._apply_weights(w, b)
def _apply_weights(self, w, b):
assert self._params['w'].shape == w.shape
assert self._params['b'].shape == b.shape
self._params['w'].data = w
self._params['b'].data = b
class RidgeClassification(_RidgeBase):
def __init__(self, params: Iterable, l2_reg: float = 1):
"""Implements a Ridge classification algorithm.
This classifier first converts the target values into ``{-1, 1}`` and
then treats the problem as a regression task.
Args:
params: iterable of parameters to optimize. Since this algorithm can only be used to
train linear layers, the number of parameters should be exactly 2 (one for the weights
and one for the biases).
l2_reg: regularization strength. Must be a positive floating point number.
"""
super().__init__(params, l2_reg, True)
def fit(self, input, expected):
"""Updates the parameters with the solution of the optimization problem.
Args:
input: input tensor of shape `(batch, n_features)`
expected: target tensor of shape `(batch,)` and of type ``torch.long``
"""
super().fit(input, expected)
class RidgeRegression(_RidgeBase):
def __init__(self, params: Iterable, l2_reg: float = 1):
"""Implements a Ridge regression algorithm.
Args:
params: iterable of parameters to optimize. Since this algorithm can only be used to
train linear layers, the number of parameters should be exactly 2 (one for the weights
and one for the biases).
l2_reg: regularization strength. Must be a positive floating point number.
"""
super().__init__(params, l2_reg, False)
def fit(self, input, expected):
"""Updates the parameters with the solution of the optimization problem.
Args:
input: input tensor of shape `(batch, n_features)`
expected: target tensor of shape `(batch, n_targets)`
"""
super().fit(input, expected)
class RidgeIncrementalClassification(_RidgeIncrementalBase):
def __init__(self, params: Iterable, l2_reg: float = 1):
"""Implements an incremental Ridge classification algorithm.
This classifier first converts the target values into ``{-1, 1}`` and
then treats the problem as a regression task.
The input examples and target values can be provided in batches so that
it is not needed to hold the whole dataset in memory all at the same time.
Args:
params: iterable of parameters to optimize. Since this algorithm can only be used to
train linear layers, the number of parameters should be exactly 2 (one for the weights
and one for the biases).
l2_reg: regularization strength. Must be a positive floating point number.
"""
super().__init__(params, l2_reg, True)
def fit_step(self, input, expected):
"""Provides to the optimizer pairs of inputs and expected outputs.
Note:
Calling this method *does not* update the parameters of your model. Instead,
it is updated only an internal state of the optimizer. Whenever you want to update
the parameters of the model, call the :func:`fit_apply` method.
In general, you will call :func:`fit_step` multiple times before finally calling :func:`fit_apply`.
Args:
input: input tensor of shape `(batch, n_features)`
expected: target tensor of shape `(batch,)` and of type ``torch.long``
"""
super().fit_step(input, expected)
def fit_apply(self):
"""Updates the parameters with the solution of the optimization problem.
"""
super().fit_apply()
class RidgeIncrementalRegression(_RidgeIncrementalBase):
def __init__(self, params: Iterable, l2_reg: float = 1):
"""Implements an incremental Ridge regression algorithm.
The input examples and target values can be provided in batches so that
it is not needed to hold the whole dataset in memory all at the same time.
Args:
params: iterable of parameters to optimize. Since this algorithm can only be used to
train linear layers, the number of parameters should be exactly 2 (one for the weights
and one for the biases).
l2_reg: regularization strength. Must be a positive floating point number.
"""
super().__init__(params, l2_reg, False)
def fit_step(self, input, expected):
"""Provides to the optimizer pairs of inputs and expected outputs.
Note:
Calling this method *does not* update the parameters of your model. Instead,
it is updated only an internal state of the optimizer. Whenever you want to update
the parameters of the model, call the :func:`fit_apply` method.
In general, you will call :func:`fit_step` multiple times before finally calling :func:`fit_apply`.
Args:
input: input tensor of shape `(batch, n_features)`
expected: target tensor of shape `(batch, n_targets)`
"""
super().fit_step(input, expected)
def fit_apply(self):
"""Updates the parameters with the solution of the optimization problem.
"""
super().fit_apply()
| 35.844444
| 118
| 0.632096
| 1,533
| 11,291
| 4.502935
| 0.138291
| 0.018832
| 0.022599
| 0.031291
| 0.815008
| 0.781544
| 0.750543
| 0.734029
| 0.734029
| 0.720556
| 0
| 0.010166
| 0.268178
| 11,291
| 314
| 119
| 35.958599
| 0.825245
| 0.400762
| 0
| 0.580645
| 0
| 0
| 0.068676
| 0
| 0
| 0
| 0
| 0
| 0.072581
| 1
| 0.177419
| false
| 0
| 0.024194
| 0
| 0.290323
| 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
|
aed57913a30497fc8d217704078e5c7d478dd46b
| 95
|
py
|
Python
|
Python/Advanced OOP/Inheritance/Restaurant/Beverage/03. Cold beverage.py
|
teodoramilcheva/softuni-software-engineering
|
98dc9faa66f42570f6538fd7ef186d2bd1d39bff
|
[
"MIT"
] | null | null | null |
Python/Advanced OOP/Inheritance/Restaurant/Beverage/03. Cold beverage.py
|
teodoramilcheva/softuni-software-engineering
|
98dc9faa66f42570f6538fd7ef186d2bd1d39bff
|
[
"MIT"
] | null | null | null |
Python/Advanced OOP/Inheritance/Restaurant/Beverage/03. Cold beverage.py
|
teodoramilcheva/softuni-software-engineering
|
98dc9faa66f42570f6538fd7ef186d2bd1d39bff
|
[
"MIT"
] | null | null | null |
from project.beverage.beverage import Beverage
class ColdBeverage(Beverage):
pass
| 13.571429
| 47
| 0.736842
| 10
| 95
| 7
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 95
| 6
| 48
| 15.833333
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
4e06fb5469c26d8e3cb64358de471ccd0649ca19
| 75
|
py
|
Python
|
manage.py
|
Archie2k16/tsquant
|
ef5e26fc6cbaebecbd682ad38d749f58aaa45e34
|
[
"WTFPL"
] | 1
|
2019-12-24T03:00:06.000Z
|
2019-12-24T03:00:06.000Z
|
manage.py
|
Archie2k16/tsquant
|
ef5e26fc6cbaebecbd682ad38d749f58aaa45e34
|
[
"WTFPL"
] | 2
|
2021-03-31T19:34:55.000Z
|
2021-12-13T20:29:54.000Z
|
manage.py
|
Archie2k16/tsquant
|
ef5e26fc6cbaebecbd682ad38d749f58aaa45e34
|
[
"WTFPL"
] | 1
|
2020-10-26T04:06:05.000Z
|
2020-10-26T04:06:05.000Z
|
from cli.cli import arg_proc
import sys
print(arg_proc.process(sys.argv))
| 25
| 33
| 0.8
| 14
| 75
| 4.142857
| 0.642857
| 0.241379
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106667
| 75
| 3
| 33
| 25
| 0.865672
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0.333333
| 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
|
9d7e8bc81585d49eeefa4bef1c7f9bcd69ecd74a
| 31
|
py
|
Python
|
lib/senators/__init__.py
|
jayrav13/presidency
|
f18721d5df9af161cc01f503b6657d9b06fea0e9
|
[
"MIT"
] | 14
|
2016-11-05T03:43:26.000Z
|
2021-03-25T14:55:19.000Z
|
lib/senators/__init__.py
|
jayrav13/presidency
|
f18721d5df9af161cc01f503b6657d9b06fea0e9
|
[
"MIT"
] | 5
|
2017-01-30T21:39:34.000Z
|
2021-06-10T19:30:57.000Z
|
lib/senators/__init__.py
|
jayrav13/presidency
|
f18721d5df9af161cc01f503b6657d9b06fea0e9
|
[
"MIT"
] | 2
|
2016-11-22T08:36:07.000Z
|
2017-01-28T16:36:29.000Z
|
from .senators import Senators
| 15.5
| 30
| 0.83871
| 4
| 31
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 31
| 1
| 31
| 31
| 0.962963
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
9d846df43ec3944f1768fd38a586d5f4a1ac3409
| 26
|
py
|
Python
|
events/__init__.py
|
amovah/python-events
|
edb109e1d6956cacd89415f2d12cb81a6258e6e7
|
[
"MIT"
] | null | null | null |
events/__init__.py
|
amovah/python-events
|
edb109e1d6956cacd89415f2d12cb81a6258e6e7
|
[
"MIT"
] | 1
|
2018-09-13T17:38:37.000Z
|
2018-09-15T15:17:23.000Z
|
events/__init__.py
|
amovah/python-events
|
edb109e1d6956cacd89415f2d12cb81a6258e6e7
|
[
"MIT"
] | null | null | null |
from .main import Events;
| 13
| 25
| 0.769231
| 4
| 26
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 26
| 1
| 26
| 26
| 0.909091
| 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
|
9d8dc22b0d12b89a7f09f013ef0fe01edebe9d19
| 172
|
py
|
Python
|
web_interface/services/save_file_services.py
|
shifvb/GraduationProject
|
08166b49c329014bf852faafa14db14a6231370a
|
[
"MIT"
] | 1
|
2018-04-27T15:25:01.000Z
|
2018-04-27T15:25:01.000Z
|
web_interface/services/save_file_services.py
|
shifvb/Undergraduate_GraduationProject
|
08166b49c329014bf852faafa14db14a6231370a
|
[
"MIT"
] | null | null | null |
web_interface/services/save_file_services.py
|
shifvb/Undergraduate_GraduationProject
|
08166b49c329014bf852faafa14db14a6231370a
|
[
"MIT"
] | null | null | null |
from web_interface import persistents
def save_file_services(f, store_path: str, store_name: str):
return persistents.save_file_persistent(f, store_path, store_name)
| 28.666667
| 70
| 0.813953
| 26
| 172
| 5.038462
| 0.615385
| 0.122137
| 0.152672
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116279
| 172
| 5
| 71
| 34.4
| 0.861842
| 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
|
9da04440fc01fba9ca43d4a3cae7de1f10381624
| 6,807
|
py
|
Python
|
chemotherapy/views.py
|
fahimfarhan/cancer-web-app
|
6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef
|
[
"MIT"
] | null | null | null |
chemotherapy/views.py
|
fahimfarhan/cancer-web-app
|
6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef
|
[
"MIT"
] | 5
|
2021-03-18T20:13:38.000Z
|
2022-01-13T00:35:37.000Z
|
chemotherapy/views.py
|
fahimfarhan/cancer-web-app
|
6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef
|
[
"MIT"
] | null | null | null |
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect, get_object_or_404
# Create your views here.
from chemotherapy.forms import ChemoTherapyForm
from chemotherapy.models import ChemoTherapy
from patientbasicinfo.controller import autocomplete
from patientbasicinfo.models import TreatmentPlan
@login_required
def new_palliative(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if request.method == "POST":
form = ChemoTherapyForm(request.POST)
if form.is_valid():
palliative = form.save(commit=False)
palliative.tp_fk = tp_fk
palliative.type = "Palliative"
palliative.save()
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm()
ac = autocomplete()
z = {'form': form, 'type': 'Palliative'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def edit_palliative(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if not ChemoTherapy.objects.filter(tp_fk=tp_fk, type="Palliative").exists():
return new_palliative(request, p_id, tp_num)
else:
p_chemotherapy = get_object_or_404(ChemoTherapy, tp_fk=tp_fk, type="Palliative")
if request.method == "POST":
form = ChemoTherapyForm(request.POST, instance=p_chemotherapy)
if form.is_valid():
p_chemotherapy = form.save() # """ ekhane change kora lagte pare"""
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm(instance=p_chemotherapy)
ac = autocomplete()
z = {'form': form, 'p_chemotherapy': p_chemotherapy, 'type': 'Palliative'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def new_nact(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if request.method == "POST":
form = ChemoTherapyForm(request.POST)
if form.is_valid():
nact = form.save(commit=False)
nact.tp_fk = tp_fk
nact.type = "NACT"
nact.save()
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm()
ac = autocomplete()
z = {'form': form, 'type': 'NACT'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def edit_nact(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if not ChemoTherapy.objects.filter(tp_fk=tp_fk, type="NACT").exists():
return new_nact(request, p_id, tp_num)
else:
p_chemotherapy = get_object_or_404(ChemoTherapy, tp_fk=tp_fk, type="NACT")
if request.method == "POST":
form = ChemoTherapyForm(request.POST, instance=p_chemotherapy)
if form.is_valid():
p_chemotherapy = form.save() # """ ekhane change kora lagte pare"""
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm(instance=p_chemotherapy)
ac = autocomplete()
z = {'form': form, 'p_chemotherapy': p_chemotherapy, 'type': 'NACT'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def new_act(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if request.method == "POST":
form = ChemoTherapyForm(request.POST)
if form.is_valid():
act = form.save(commit=False)
act.tp_fk = tp_fk
act.type = "ACT"
act.save()
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm()
ac = autocomplete()
z = {'form': form, 'type': 'ACT'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def edit_act(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if not ChemoTherapy.objects.filter(tp_fk=tp_fk, type="ACT").exists():
return new_nact(request, p_id, tp_num)
else:
p_chemotherapy = get_object_or_404(ChemoTherapy, tp_fk=tp_fk, type="ACT")
if request.method == "POST":
form = ChemoTherapyForm(request.POST, instance=p_chemotherapy)
if form.is_valid():
p_chemotherapy = form.save() # """ ekhane change kora lagte pare"""
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm(instance=p_chemotherapy)
ac = autocomplete()
z = {'form': form, 'p_chemotherapy': p_chemotherapy, 'type': 'ACT'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def new_concurrent(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if request.method == "POST":
form = ChemoTherapyForm(request.POST)
if form.is_valid():
concurrent = form.save(commit=False)
concurrent.tp_fk = tp_fk
concurrent.type = "Concurrent"
concurrent.save()
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm()
ac = autocomplete()
z = {'form': form, 'type': 'Concurrent'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
@login_required
def edit_concurrent(request, p_id, tp_num):
tp_fk = TreatmentPlan.objects.get(identity_fk=p_id, num=tp_num)
if not ChemoTherapy.objects.filter(tp_fk=tp_fk, type="Concurrent").exists():
return new_concurrent(request, p_id, tp_num)
else:
p_chemotherapy = get_object_or_404(ChemoTherapy, tp_fk=tp_fk, type="Concurrent")
if request.method == "POST":
form = ChemoTherapyForm(request.POST, instance=p_chemotherapy)
if form.is_valid():
p_chemotherapy = form.save() # """ ekhane change kora lagte pare"""
return redirect('pbi:view_treatmentplan', p_id=p_id, tp_num=tp_num)
else:
form = ChemoTherapyForm(instance=p_chemotherapy)
ac = autocomplete()
z = {'form': form, 'p_chemotherapy': p_chemotherapy, 'type': 'Concurrent'}
context = {**z, **ac}
return render(request, 'chemotherapy/EditChemoTherapy.html', context)
| 41.254545
| 88
| 0.650948
| 850
| 6,807
| 4.991765
| 0.082353
| 0.025454
| 0.023568
| 0.037709
| 0.859298
| 0.859298
| 0.846571
| 0.839736
| 0.839736
| 0.839736
| 0
| 0.002854
| 0.228001
| 6,807
| 164
| 89
| 41.506098
| 0.804567
| 0.025121
| 0
| 0.671233
| 0
| 0
| 0.11086
| 0.067572
| 0
| 0
| 0
| 0
| 0
| 1
| 0.054795
| false
| 0
| 0.041096
| 0
| 0.232877
| 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
|
9db2c281e75df476ad845d29892d1a0585e04c9e
| 44
|
py
|
Python
|
process_ble_data/__init__.py
|
WildflowerSchools/wf-process-ble-data
|
3f52b5805fbc188eb5c61d37dbab4cd1704f365d
|
[
"MIT"
] | null | null | null |
process_ble_data/__init__.py
|
WildflowerSchools/wf-process-ble-data
|
3f52b5805fbc188eb5c61d37dbab4cd1704f365d
|
[
"MIT"
] | null | null | null |
process_ble_data/__init__.py
|
WildflowerSchools/wf-process-ble-data
|
3f52b5805fbc188eb5c61d37dbab4cd1704f365d
|
[
"MIT"
] | null | null | null |
from process_ble_data.honeycomb_io import *
| 22
| 43
| 0.863636
| 7
| 44
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 44
| 1
| 44
| 44
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 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
|
d1b5ee1068898d1dbeab57d0ca1b6e2ef650164c
| 17
|
py
|
Python
|
tests/syntax/delete_expression.py
|
friendly-traceback/friendly-traceback
|
4f6785f14c271a4d6412ef19c140f9d380cdbcbf
|
[
"MIT"
] | 45
|
2021-07-06T03:30:20.000Z
|
2022-03-16T17:30:58.000Z
|
tests/syntax/delete_expression.py
|
friendly-traceback/friendly-traceback
|
4f6785f14c271a4d6412ef19c140f9d380cdbcbf
|
[
"MIT"
] | 110
|
2021-06-28T11:48:46.000Z
|
2022-03-25T20:41:25.000Z
|
tests/syntax/delete_expression.py
|
friendly-traceback/friendly-traceback
|
4f6785f14c271a4d6412ef19c140f9d380cdbcbf
|
[
"MIT"
] | 4
|
2021-07-05T20:56:39.000Z
|
2021-11-11T20:24:34.000Z
|
del a.b.c[0] + 2
| 8.5
| 16
| 0.470588
| 6
| 17
| 1.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.235294
| 17
| 1
| 17
| 17
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d1b79764ecffa4c1a8d02fe329b52809de82d8b6
| 179
|
py
|
Python
|
case/practice_questions/collect.041.py
|
YellowTulipShow/PythonScripts
|
09bf756f08e6b66fe3b13206c3b972c3434e53ee
|
[
"Apache-2.0"
] | 1
|
2020-01-16T01:40:58.000Z
|
2020-01-16T01:40:58.000Z
|
case/practice_questions/collect.041.py
|
YellowTulipShow/PythonScripts
|
09bf756f08e6b66fe3b13206c3b972c3434e53ee
|
[
"Apache-2.0"
] | null | null | null |
case/practice_questions/collect.041.py
|
YellowTulipShow/PythonScripts
|
09bf756f08e6b66fe3b13206c3b972c3434e53ee
|
[
"Apache-2.0"
] | null | null | null |
# coding: UTF-8
print(r'''
【程序41】题目：海滩上有一堆桃子，五只猴子来分。第一只猴子把这堆桃子凭据分为五份，多了一个，这只猴子把多的一个扔入海中，拿走了一份。第二只猴子把剩下的桃子又平均分成五份，又多了一个，它同样把多的一个扔入海中，拿走了一份，第三、第四、第五只猴子都是这样做的，问海滩上原来最少有多少个桃子？
''')
| 25.571429
| 144
| 0.798883
| 21
| 179
| 6.809524
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.044693
| 179
| 6
| 145
| 29.833333
| 0.818713
| 0.072626
| 0
| 0
| 0
| 0.333333
| 0.895706
| 0.883436
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.333333
| 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
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
d1e2bddc66501d33b9ef4bdd1f082d7ca3418b79
| 410
|
py
|
Python
|
oarepo_model_builder_multilingual/invenio/__init__.py
|
oarepo/oarepo-model-builder-multilingual
|
884da6667dfd6f4bb2c255b4f42d6d4de999d2e8
|
[
"MIT"
] | null | null | null |
oarepo_model_builder_multilingual/invenio/__init__.py
|
oarepo/oarepo-model-builder-multilingual
|
884da6667dfd6f4bb2c255b4f42d6d4de999d2e8
|
[
"MIT"
] | 2
|
2022-02-06T20:03:11.000Z
|
2022-03-07T11:01:39.000Z
|
oarepo_model_builder_multilingual/invenio/__init__.py
|
oarepo/oarepo-model-builder-multilingual
|
884da6667dfd6f4bb2c255b4f42d6d4de999d2e8
|
[
"MIT"
] | null | null | null |
TEMPLATES = {
"multilingual-record-dumper": "templates/invenio_record_dumper_multilingual.py.jinja2",
"record-multilingual": "templates/invenio_record_multilingual.py.jinja2",
"subschema-multilingual": "templates/invenio_schema_multilingual.py.jinja2",
"multi-search": "templates/invenio_record_search_multilingual.py.jinja2",
"subschema-i18n": "templates/invenio_schema_i18n.py.jinja2",
}
| 51.25
| 91
| 0.785366
| 44
| 410
| 7.045455
| 0.272727
| 0.258065
| 0.258065
| 0.187097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023936
| 0.082927
| 410
| 8
| 92
| 51.25
| 0.800532
| 0
| 0
| 0
| 0
| 0
| 0.812652
| 0.703163
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
ae0f93a06ec86395e3dcdebdb81a2f5f1f96dbdf
| 341
|
py
|
Python
|
yann/data/search/base.py
|
michalwols/yann
|
b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf
|
[
"MIT"
] | 32
|
2019-04-13T11:03:38.000Z
|
2022-01-24T03:00:56.000Z
|
yann/data/search/base.py
|
michalwols/yann
|
b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf
|
[
"MIT"
] | 13
|
2019-09-29T00:51:24.000Z
|
2021-12-12T15:06:00.000Z
|
yann/data/search/base.py
|
michalwols/yann
|
b3c0f35ec7515ddaeb1f04d365af7b6d136f56cf
|
[
"MIT"
] | 5
|
2020-01-01T10:27:26.000Z
|
2021-12-20T18:33:08.000Z
|
class VectorIndex:
@property
def files(self):
return []
def save(self):
pass
def load(self):
pass
def build(self):
pass
def search(self):
pass
def search_index(self):
pass
def add(self, vector):
pass
def add_bulk(self, vectors):
pass
def set_bulk(self, indices, vectors):
pass
| 11.758621
| 39
| 0.607038
| 46
| 341
| 4.434783
| 0.413043
| 0.240196
| 0.269608
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.290323
| 341
| 28
| 40
| 12.178571
| 0.842975
| 0
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.45
| false
| 0.4
| 0
| 0.05
| 0.55
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
ae8fcd53ba43c61bcc0737ee1f7e0ad47fb9ecc1
| 44
|
py
|
Python
|
ManiSkill-Learn/mani_skill_learn/methods/mbrl/__init__.py
|
crtie/mani
|
559abd0366cff5886557d9a602df3cc49dcd40c4
|
[
"Apache-2.0"
] | null | null | null |
ManiSkill-Learn/mani_skill_learn/methods/mbrl/__init__.py
|
crtie/mani
|
559abd0366cff5886557d9a602df3cc49dcd40c4
|
[
"Apache-2.0"
] | null | null | null |
ManiSkill-Learn/mani_skill_learn/methods/mbrl/__init__.py
|
crtie/mani
|
559abd0366cff5886557d9a602df3cc49dcd40c4
|
[
"Apache-2.0"
] | null | null | null |
from .mbpo import MBPO
print("initial mbrl")
| 22
| 22
| 0.772727
| 7
| 44
| 4.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113636
| 44
| 2
| 23
| 22
| 0.871795
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 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
|
882be3bff5c4ddd57bcb71b4566d145f12d7df3f
| 1,409
|
py
|
Python
|
tests/test_calculate_change.py
|
TiagoJLeandro/maquininha-de-troco
|
1a9383d6705dbe0509f967c9385672b4d878caa7
|
[
"MIT"
] | null | null | null |
tests/test_calculate_change.py
|
TiagoJLeandro/maquininha-de-troco
|
1a9383d6705dbe0509f967c9385672b4d878caa7
|
[
"MIT"
] | null | null | null |
tests/test_calculate_change.py
|
TiagoJLeandro/maquininha-de-troco
|
1a9383d6705dbe0509f967c9385672b4d878caa7
|
[
"MIT"
] | null | null | null |
import pytest
from calculate_change import calculate_change
default_coins_list = [
200, 100, 50, 20, 10, 5,
2, 1, 0.5, 0.25, 0.10, 0.05, 0.01
]
@pytest.mark.parametrize('prod_value,received,expected',
[(100, 0, []),
(388.91, 777.82, [1,1,1,1,1,1,1,1,1,1,1,1,1]),
(0.10, 0.14, [0,0,0,0,0,0,0,0,0,0,0,0,4]),
(0.10, 0.16, [0,0,0,0,0,0,0,0,0,0,0,1,1]),
(0, 200, [1,0,0,0,0,0,0,0,0,0,0,0,0]),
(0, 100, [0,1,0,0,0,0,0,0,0,0,0,0,0]),
(0, 50, [0,0,1,0,0,0,0,0,0,0,0,0,0]),
(0, 20, [0,0,0,1,0,0,0,0,0,0,0,0,0]),
(0, 10, [0,0,0,0,1,0,0,0,0,0,0,0,0]),
(0, 5, [0,0,0,0,0,1,0,0,0,0,0,0,0]),
(0, 2, [0,0,0,0,0,0,1,0,0,0,0,0,0]),
(0, 1, [0,0,0,0,0,0,0,1,0,0,0,0,0]),
(0, 0.5, [0,0,0,0,0,0,0,0,1,0,0,0,0]),
(0, 0.25, [0,0,0,0,0,0,0,0,0,1,0,0,0]),
(0, 0.10, [0,0,0,0,0,0,0,0,0,0,1,0,0]),
(30.80, 50.80, [0,0,0,1,0,0,0,0,0,0,0,0,0])
]
)
def test_if_change_was_decomposed(prod_value, received, expected):
assert calculate_change(
default_coins_list, prod_value, received) == expected
| 42.69697
| 71
| 0.379702
| 294
| 1,409
| 1.772109
| 0.139456
| 0.59501
| 0.754319
| 0.836852
| 0.527831
| 0.408829
| 0.408829
| 0.408829
| 0.408829
| 0.408829
| 0
| 0.331818
| 0.375444
| 1,409
| 32
| 72
| 44.03125
| 0.260227
| 0
| 0
| 0
| 0
| 0
| 0.019872
| 0.019872
| 0
| 0
| 0
| 0
| 0.035714
| 1
| 0.035714
| false
| 0
| 0.071429
| 0
| 0.107143
| 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
|
8835165330f83740b5d101181e03c87be3ff3b33
| 24
|
py
|
Python
|
odoo-13.0/web_oca/web_responsive/models/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 1
|
2021-06-10T14:59:13.000Z
|
2021-06-10T14:59:13.000Z
|
odoo-13.0/web_oca/web_responsive/models/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | null | null | null |
odoo-13.0/web_oca/web_responsive/models/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 1
|
2021-04-09T09:44:44.000Z
|
2021-04-09T09:44:44.000Z
|
from . import res_users
| 12
| 23
| 0.791667
| 4
| 24
| 4.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 0.9
| 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
|
88495c8a4f33682d7e5497637c25e01707275a7b
| 91
|
py
|
Python
|
tests/conftest.py
|
josephsalimin/flask-router-wrapper
|
cc6414c82a5297d88decf3e587699de7298b3a97
|
[
"MIT"
] | 6
|
2020-08-01T12:39:17.000Z
|
2020-08-13T14:00:45.000Z
|
tests/conftest.py
|
josephsalimin/flask-router-wrapper
|
cc6414c82a5297d88decf3e587699de7298b3a97
|
[
"MIT"
] | 2
|
2021-03-30T01:13:33.000Z
|
2021-06-02T02:47:58.000Z
|
tests/conftest.py
|
josephsalimin/flask-router-wrapper
|
cc6414c82a5297d88decf3e587699de7298b3a97
|
[
"MIT"
] | null | null | null |
from flask import Flask
import pytest
@pytest.fixture
def app():
yield Flask(__name__)
| 11.375
| 23
| 0.758242
| 13
| 91
| 5
| 0.692308
| 0.338462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 7
| 24
| 13
| 0.855263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 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
|
886e1a175ecaccab81b288002ac2070b8d014def
| 21,238
|
py
|
Python
|
pykquery/KQueryLexer.py
|
lahiri-phdworks/KLEE-KQueryParser
|
a573951188f99746cd12da2f3f60e78ba78244e0
|
[
"Apache-2.0"
] | null | null | null |
pykquery/KQueryLexer.py
|
lahiri-phdworks/KLEE-KQueryParser
|
a573951188f99746cd12da2f3f60e78ba78244e0
|
[
"Apache-2.0"
] | null | null | null |
pykquery/KQueryLexer.py
|
lahiri-phdworks/KLEE-KQueryParser
|
a573951188f99746cd12da2f3f60e78ba78244e0
|
[
"Apache-2.0"
] | null | null | null |
# Generated from KQuery.g4 by ANTLR 4.9.2
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2I")
buf.write("\u01f4\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13\t\13\4\f\t\f\4\r\t\r")
buf.write("\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4\22\t\22\4\23")
buf.write("\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27\t\27\4\30\t\30")
buf.write("\4\31\t\31\4\32\t\32\4\33\t\33\4\34\t\34\4\35\t\35\4\36")
buf.write("\t\36\4\37\t\37\4 \t \4!\t!\4\"\t\"\4#\t#\4$\t$\4%\t%")
buf.write("\4&\t&\4\'\t\'\4(\t(\4)\t)\4*\t*\4+\t+\4,\t,\4-\t-\4.")
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buf.write("\2\2\u01b6\u01b7\t\5\2\2\u01b7~\3\2\2\2\u01b8\u01bc\t")
buf.write("\6\2\2\u01b9\u01bb\t\7\2\2\u01ba\u01b9\3\2\2\2\u01bb\u01be")
buf.write("\3\2\2\2\u01bc\u01ba\3\2\2\2\u01bc\u01bd\3\2\2\2\u01bd")
buf.write("\u0080\3\2\2\2\u01be\u01bc\3\2\2\2\u01bf\u01c0\7k\2\2")
buf.write("\u01c0\u0082\3\2\2\2\u01c1\u01c2\7h\2\2\u01c2\u01c3\7")
buf.write("r\2\2\u01c3\u0084\3\2\2\2\u01c4\u01c6\t\b\2\2\u01c5\u01c4")
buf.write("\3\2\2\2\u01c6\u01c7\3\2\2\2\u01c7\u01c5\3\2\2\2\u01c7")
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buf.write("\u01ca\u0086\3\2\2\2\u01cb\u01cd\7\17\2\2\u01cc\u01ce")
buf.write("\7\f\2\2\u01cd\u01cc\3\2\2\2\u01cd\u01ce\3\2\2\2\u01ce")
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buf.write("D\2\2\u01d3\u0088\3\2\2\2\u01d4\u01d8\7%\2\2\u01d5\u01d7")
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buf.write("\u01da\u01d8\3\2\2\2\u01db\u01dc\7%\2\2\u01dc\u01dd\3")
buf.write("\2\2\2\u01dd\u01de\bE\2\2\u01de\u008a\3\2\2\2\u01df\u01e3")
buf.write("\7%\2\2\u01e0\u01e2\n\t\2\2\u01e1\u01e0\3\2\2\2\u01e2")
buf.write("\u01e5\3\2\2\2\u01e3\u01e1\3\2\2\2\u01e3\u01e4\3\2\2\2")
buf.write("\u01e4\u01e6\3\2\2\2\u01e5\u01e3\3\2\2\2\u01e6\u01e7\b")
buf.write("F\2\2\u01e7\u008c\3\2\2\2\u01e8\u01e9\7*\2\2\u01e9\u008e")
buf.write("\3\2\2\2\u01ea\u01eb\7+\2\2\u01eb\u0090\3\2\2\2\u01ec")
buf.write("\u01ed\7]\2\2\u01ed\u0092\3\2\2\2\u01ee\u01ef\7_\2\2\u01ef")
buf.write("\u0094\3\2\2\2\u01f0\u01f1\7}\2\2\u01f1\u0096\3\2\2\2")
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buf.write("\u00d2\u00d8\u01bc\u01c7\u01cd\u01d0\u01d8\u01e3\3\b\2")
buf.write("\2")
return buf.getvalue()
class KQueryLexer(Lexer):
atn = ATNDeserializer().deserialize(serializedATN())
decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ]
Boolean = 1
SignedConstant = 2
Constant = 3
BinConstant = 4
OctConstant = 5
HexConstant = 6
FloatingPointType = 7
IntegerType = 8
WidthType = 9
BinId = 10
OctId = 11
WIDTH = 12
HexId = 13
TrueMatch = 14
FalseMatch = 15
Query = 16
Array = 17
Symbolic = 18
Colon = 19
Arrow = 20
Equal = 21
COMMA = 22
NOT = 23
SHL = 24
LSHR = 25
ASHR = 26
CONCAT = 27
EXTRACT = 28
ZEXT = 29
SEXT = 30
READ = 31
SELECT = 32
NEGETION = 33
READLSB = 34
READMSB = 35
PLUS = 36
MINUS = 37
ATR = 38
BITWISEAND = 39
BITWISEOR = 40
BITWISEXOR = 41
EQ = 42
NEQ = 43
ULT = 44
ULE = 45
UGT = 46
UGE = 47
SLT = 48
SLE = 49
SGT = 50
SGE = 51
ADD = 52
SUB = 53
MUL = 54
UDIV = 55
UREM = 56
SDIV = 57
SREM = 58
Identifier = 59
INT = 60
FP = 61
Whitespace = 62
Newline = 63
BlockComment = 64
LineComment = 65
LeftParen = 66
RightParen = 67
LeftBracket = 68
RightBracket = 69
LeftBrace = 70
RightBrace = 71
channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ]
modeNames = [ "DEFAULT_MODE" ]
literalNames = [ "<INVALID>",
"'0b'", "'0o'", "'w'", "'0x'", "'true'", "'false'", "'query'",
"'array'", "'symbolic'", "':'", "'->'", "'='", "','", "'Not'",
"'Shl'", "'LShr'", "'AShr'", "'Concat'", "'Extract'", "'ZExt'",
"'SExt'", "'Read'", "'Select'", "'Neg'", "'ReadLSB'", "'ReadMSB'",
"'+'", "'-'", "'@'", "'And'", "'Or'", "'Xor'", "'Eq'", "'Ne'",
"'Ult'", "'Ule'", "'Ugt'", "'Uge'", "'Slt'", "'Sle'", "'Sgt'",
"'Sge'", "'Add'", "'Sub'", "'Mul'", "'UDiv'", "'URem'", "'SDiv'",
"'SRem'", "'i'", "'fp'", "'('", "')'", "'['", "']'", "'{'",
"'}'" ]
symbolicNames = [ "<INVALID>",
"Boolean", "SignedConstant", "Constant", "BinConstant", "OctConstant",
"HexConstant", "FloatingPointType", "IntegerType", "WidthType",
"BinId", "OctId", "WIDTH", "HexId", "TrueMatch", "FalseMatch",
"Query", "Array", "Symbolic", "Colon", "Arrow", "Equal", "COMMA",
"NOT", "SHL", "LSHR", "ASHR", "CONCAT", "EXTRACT", "ZEXT", "SEXT",
"READ", "SELECT", "NEGETION", "READLSB", "READMSB", "PLUS",
"MINUS", "ATR", "BITWISEAND", "BITWISEOR", "BITWISEXOR", "EQ",
"NEQ", "ULT", "ULE", "UGT", "UGE", "SLT", "SLE", "SGT", "SGE",
"ADD", "SUB", "MUL", "UDIV", "UREM", "SDIV", "SREM", "Identifier",
"INT", "FP", "Whitespace", "Newline", "BlockComment", "LineComment",
"LeftParen", "RightParen", "LeftBracket", "RightBracket", "LeftBrace",
"RightBrace" ]
ruleNames = [ "Boolean", "SignedConstant", "Constant", "BinConstant",
"OctConstant", "HexConstant", "FloatingPointType", "IntegerType",
"WidthType", "BinId", "OctId", "WIDTH", "HexId", "TrueMatch",
"FalseMatch", "Query", "Array", "Symbolic", "Colon", "Arrow",
"Equal", "COMMA", "NOT", "SHL", "LSHR", "ASHR", "CONCAT",
"EXTRACT", "ZEXT", "SEXT", "READ", "SELECT", "NEGETION",
"READLSB", "READMSB", "PLUS", "MINUS", "ATR", "BITWISEAND",
"BITWISEOR", "BITWISEXOR", "EQ", "NEQ", "ULT", "ULE",
"UGT", "UGE", "SLT", "SLE", "SGT", "SGE", "ADD", "SUB",
"MUL", "UDIV", "UREM", "SDIV", "SREM", "DIGIT", "BIN_DIGIT",
"OCTAL_DIGIT", "HEX_DIGIT", "Identifier", "INT", "FP",
"Whitespace", "Newline", "BlockComment", "LineComment",
"LeftParen", "RightParen", "LeftBracket", "RightBracket",
"LeftBrace", "RightBrace" ]
grammarFileName = "KQuery.g4"
def __init__(self, input=None, output:TextIO = sys.stdout):
super().__init__(input, output)
self.checkVersion("4.9.2")
self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache())
self._actions = None
self._predicates = None
| 58.027322
| 103
| 0.558716
| 4,615
| 21,238
| 2.566414
| 0.16468
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| 0.125887
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| 0
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| 365
| 104
| 58.186301
| 0.340713
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| 1
| 0.573487
| 0.615758
| 0.551073
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005764
| false
| 0
| 0.014409
| 0
| 0.253602
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 1
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| 0
| 0
| 0
| 1
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| 1
| 1
| 1
| null | 0
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
887986f2c851d01a917ef0b0dd89b579783004cf
| 9,128
|
py
|
Python
|
analysis/pokemon_simple_correlation.py
|
aguerrero232/DataScienceGroupProject
|
f27bc29f5a3646d1e19474be821af08a347aecfe
|
[
"MIT"
] | null | null | null |
analysis/pokemon_simple_correlation.py
|
aguerrero232/DataScienceGroupProject
|
f27bc29f5a3646d1e19474be821af08a347aecfe
|
[
"MIT"
] | null | null | null |
analysis/pokemon_simple_correlation.py
|
aguerrero232/DataScienceGroupProject
|
f27bc29f5a3646d1e19474be821af08a347aecfe
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
import helper_functions
import loaddata
separator = '---------------------------------------------------------------'
tab: str = "\t"
# ----------------------------------------------------------------------------------
print(f'{separator + separator}\n')
print(f'{tab * 7}- - - Pokemon Data Analysis - Finding Correlations - - -')
print(f'{tab * 12}Group 18')
print(f'{separator + separator}\n')
print(f'{tab * 7}Relevant data about the figures will be printed to the console to\n'
f'{tab * 6}conserve space, please refer to the console using the figure numbers provided.\n'
f'{tab * 14}Thank you!\n')
print(f'{separator + separator}')
# finding a correlation between hp and weight, speed and weight, height and weight, speed and hp, etc....
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between hp and weight
curr_fig = "1"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Hp and Weight(kg) - - -\n')
print(helper_functions.corr_compute(loaddata.hp, loaddata.weight, "Hp", "Weight(kg)"))
plt.xlabel('HP')
plt.ylabel('Weight(kg)')
plt.title(f"Figure {curr_fig}: Correlation between Hp and Weight(kg)")
plt.scatter(loaddata.hp, loaddata.weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between hp and weight (standardized)
curr_fig = "1b"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Hp and Weight(kg) (standardized) - - -\n')
print(helper_functions.corr_compute(loaddata.z_hp, loaddata.z_weight, "Z Hp", "Z Weight(kg)", "(standardized)"))
plt.xlabel('Z HP')
plt.ylabel('Z Weight(kg)')
plt.title(f'Figure {curr_fig}: Correlation between Hp and Weight(kg) (standardized)')
plt.scatter(loaddata.z_hp, loaddata.z_weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between speed and weight
curr_fig = "2"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Speed and Weight(kg) - - -\n')
print(helper_functions.corr_compute(loaddata.speed, loaddata.weight, "Speed", "Weight(kg)"))
plt.xlabel('Speed')
plt.ylabel('Weight(kg)')
plt.title(f'Figure {curr_fig}: Correlation between Speed and Weight(kg)')
plt.scatter(loaddata.speed, loaddata.weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between speed and weight (standardized)
curr_fig = '2b'
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Speed and Weight(kg) (standardized) - - -\n')
print(helper_functions.corr_compute(loaddata.z_speed, loaddata.z_weight, "Z Speed", "Z Weight(kg)", "(standardized)"))
plt.xlabel('Z Speed')
plt.ylabel('Z Weight(kg)')
plt.title(f'Figure {curr_fig}: Correlation between Speed and Weight(kg) (standardized)')
plt.scatter(loaddata.z_speed, loaddata.z_weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between speed and hp
curr_fig = "3"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Speed and Hp - - -\n')
print(helper_functions.corr_compute(loaddata.speed, loaddata.hp, "Speed", "Hp"))
plt.xlabel('Speed')
plt.ylabel('HP')
plt.title(f"Figure {curr_fig}: Correlation between Speed and Hp")
plt.scatter(loaddata.speed, loaddata.hp)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between speed and hp (standardized)
curr_fig = "3b"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Speed and Hp (standardized) - - -\n')
print(helper_functions.corr_compute(loaddata.z_speed, loaddata.z_hp, "Z Speed", "Z Hp", "(standardized)"))
plt.xlabel('Z Speed')
plt.ylabel('Z HP')
plt.title(f"Figure {curr_fig}: Correlation between Speed and Hp (standardized)")
plt.scatter(loaddata.z_speed, loaddata.z_hp)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between attack and special attack
curr_fig = "4"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Attack and Special Attack - - -\n')
print(helper_functions.corr_compute(loaddata.attack, loaddata.sp_attack, "Attack", "Special Attack"))
plt.xlabel('Atack')
plt.ylabel('Special Attack')
plt.title(f"Figure {curr_fig}: Correlation between Attack and Special Attack")
plt.scatter(loaddata.attack, loaddata.sp_attack)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between attack and special attack (standardized)
curr_fig = "4b"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Attack and Special Attack (standardized) - - -\n')
print(helper_functions.corr_compute(loaddata.z_attack, loaddata.z_sp_attack, "Z Attack", "Z Special Attack", "(standardized)"))
plt.xlabel('Z Atack')
plt.ylabel('Z Special Attack')
plt.title(f"Figure {curr_fig}: Correlation between Attack and Special Attack (standardized)")
plt.scatter(loaddata.z_attack, loaddata.z_sp_attack)
plt.show()
# Calculating Correlation between Pokemon Height(m) and Weight(kg). (normal and log normal)
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
# Correlation between height and weight
curr_fig = "5"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Height(m) and Weight(kg) - - -\n')
print(helper_functions.corr_compute(loaddata.heights, loaddata.weight, "Height(m)", "Weight(kg)"))
plt.xlabel('Height(m)')
plt.ylabel('Weight(kg)')
plt.title(f"Figure {curr_fig}: Correlation between Height(m) and Weight(kg)")
plt.scatter(loaddata.heights, loaddata.weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
curr_fig = "5b"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between Height(m) and Weight(kg) (standardized) - - -\n')
print(helper_functions.corr_compute(loaddata.z_height, loaddata.z_weight, "Z Height", "Z Weight(kg)", "(standardized)"))
plt.xlabel('Z Height(m)')
plt.ylabel('Z Weight(kg)')
plt.title(f"Figure {curr_fig}: Correlation between Height(m) and Weight(kg) (standardized)")
plt.scatter(loaddata.z_height, loaddata.z_weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
curr_fig = "5c"
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between log(Height(m)) and Weight(kg) - - -\n')
print(helper_functions.corr_compute(loaddata.log_h, loaddata.weight, "log(Height(m))", "Weight(kg)"))
plt.xlabel('log(Height(m))')
plt.ylabel('Weight(kg)')
plt.title(f"Figure {curr_fig}: Correlation between log(Height(m)) and Weight(kg)")
plt.scatter(loaddata.log_h, loaddata.weight)
plt.show()
print(f'{separator + separator}\n')
# ----------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------
curr_fig = '5d'
print(f'{separator + separator}\n')
print(f'{tab * 6}- - - Figure {curr_fig}: Correlation between log(Height(m)) and log(Weight(kg)) - - -\n')
print(helper_functions.corr_compute(loaddata.log_h, loaddata.log_w, "log(Height(m))", "log(Weight(kg))"))
plt.xlabel('log(Height(m))')
plt.ylabel('log(Weight(kg))')
plt.title(f"Figure {curr_fig}: Correlation between log(Height(m)) and log(Weight(kg))")
plt.scatter(loaddata.log_h, loaddata.log_w)
plt.show()
print(f'{separator + separator}\n')
| 46.10101
| 127
| 0.549518
| 1,039
| 9,128
| 4.740135
| 0.085659
| 0.051168
| 0.082234
| 0.131574
| 0.847513
| 0.793503
| 0.764873
| 0.713503
| 0.667005
| 0.617259
| 0
| 0.003952
| 0.085123
| 9,128
| 197
| 128
| 46.335025
| 0.585798
| 0.292068
| 0
| 0.383459
| 0
| 0.082707
| 0.530739
| 0.009805
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.022556
| 0
| 0.022556
| 0.406015
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
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| null | 0
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| 1
|
0
| 6
|
88b3a37374d940d2dece693f90e0e0ae956b3dcc
| 134
|
py
|
Python
|
tests/conftest.py
|
bohlinger/wavy
|
8eefcce9112707ffd88617f6849663671fdb9d62
|
[
"MIT"
] | 2
|
2021-05-28T08:39:16.000Z
|
2021-12-09T09:17:25.000Z
|
tests/conftest.py
|
bohlinger/wavy
|
8eefcce9112707ffd88617f6849663671fdb9d62
|
[
"MIT"
] | 22
|
2021-05-28T08:58:40.000Z
|
2022-03-28T09:01:41.000Z
|
tests/conftest.py
|
bohlinger/wavy
|
8eefcce9112707ffd88617f6849663671fdb9d62
|
[
"MIT"
] | 1
|
2021-05-28T08:41:04.000Z
|
2021-05-28T08:41:04.000Z
|
import pytest
from pathlib import Path
@pytest.fixture
def test_data():
return Path(__file__).parent.resolve().joinpath('data')
| 16.75
| 59
| 0.753731
| 18
| 134
| 5.333333
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126866
| 134
| 7
| 60
| 19.142857
| 0.820513
| 0
| 0
| 0
| 0
| 0
| 0.030075
| 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
|
ee4313e876c39c4d60c1c7f6446e181bfcc7fff3
| 958
|
py
|
Python
|
molecule/python/test/test_token_transfer_response.py
|
sumit4-ttn/SDK
|
b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff
|
[
"Apache-2.0"
] | null | null | null |
molecule/python/test/test_token_transfer_response.py
|
sumit4-ttn/SDK
|
b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff
|
[
"Apache-2.0"
] | null | null | null |
molecule/python/test/test_token_transfer_response.py
|
sumit4-ttn/SDK
|
b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Molecule API Documentation
The Hydrogen Molecule API # noqa: E501
OpenAPI spec version: 1.3.0
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import molecule_api
from molecule_api.models.token_transfer_response import TokenTransferResponse # noqa: E501
from molecule_api.rest import ApiException
class TestTokenTransferResponse(unittest.TestCase):
"""TokenTransferResponse unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testTokenTransferResponse(self):
"""Test TokenTransferResponse"""
# FIXME: construct object with mandatory attributes with example values
# model = swagger_client.models.token_transfer_response.TokenTransferResponse() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 23.365854
| 101
| 0.72547
| 105
| 958
| 6.419048
| 0.6
| 0.081602
| 0.04451
| 0.080119
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016861
| 0.195198
| 958
| 40
| 102
| 23.95
| 0.857328
| 0.467641
| 0
| 0.214286
| 1
| 0
| 0.017094
| 0
| 0
| 0
| 0
| 0.025
| 0
| 1
| 0.214286
| false
| 0.214286
| 0.357143
| 0
| 0.642857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
ee63e2a39550d11240b73e6227cec9f7d743762c
| 494
|
py
|
Python
|
src/core_lib/__init__.py
|
josmejia2401/angox-media-api-speech-to-text
|
576d19f859a646c8765d39ed37d6c909413027ff
|
[
"MIT"
] | null | null | null |
src/core_lib/__init__.py
|
josmejia2401/angox-media-api-speech-to-text
|
576d19f859a646c8765d39ed37d6c909413027ff
|
[
"MIT"
] | null | null | null |
src/core_lib/__init__.py
|
josmejia2401/angox-media-api-speech-to-text
|
576d19f859a646c8765d39ed37d6c909413027ff
|
[
"MIT"
] | null | null | null |
import src.core_lib.cache_any_client
import src.core_lib.concurrency
import src.core_lib.config
import src.core_lib.db
import src.core_lib.dto
import src.core_lib.exception
import src.core_lib.utils
import src.core_lib.controller
import src.core_lib.logger
import src.core_lib.service
import src.core_lib.version
#from concurrency import *
#from db import *
#from dto import *
#from exception import *
#from utils import *
#from controller import *
#from logger import *
#from service import *
| 24.7
| 36
| 0.813765
| 81
| 494
| 4.802469
| 0.222222
| 0.254499
| 0.367609
| 0.452442
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109312
| 494
| 19
| 37
| 26
| 0.884091
| 0.334008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c98b2f52bfb3528268f76ea75281280879797e4b
| 89
|
py
|
Python
|
createdb.py
|
gpaOliveira/SuperDiffer
|
1936ead7ab209994892f6bc29a33a47415fa95e8
|
[
"MIT"
] | 2
|
2016-10-12T16:11:04.000Z
|
2017-08-25T18:29:44.000Z
|
createdb.py
|
gpaOliveira/SuperDiffer
|
1936ead7ab209994892f6bc29a33a47415fa95e8
|
[
"MIT"
] | null | null | null |
createdb.py
|
gpaOliveira/SuperDiffer
|
1936ead7ab209994892f6bc29a33a47415fa95e8
|
[
"MIT"
] | null | null | null |
from SuperDiffer import db
from SuperDiffer.id import models as ID_models
db.create_all()
| 29.666667
| 46
| 0.842697
| 15
| 89
| 4.866667
| 0.6
| 0.410959
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11236
| 89
| 3
| 47
| 29.666667
| 0.924051
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c9a8fc433c440bb628cbe812dfa3243d2800f41b
| 102
|
py
|
Python
|
split_multiline_string.py
|
EliasPapachristos/Python_Snippets
|
ea7ed9c2baded690b320bfce5567d306b10b5a62
|
[
"MIT"
] | 1
|
2020-05-01T10:29:02.000Z
|
2020-05-01T10:29:02.000Z
|
split_multiline_string.py
|
EliasPapachristos/Python_Snippets
|
ea7ed9c2baded690b320bfce5567d306b10b5a62
|
[
"MIT"
] | null | null | null |
split_multiline_string.py
|
EliasPapachristos/Python_Snippets
|
ea7ed9c2baded690b320bfce5567d306b10b5a62
|
[
"MIT"
] | null | null | null |
def split_lines(el):
return el.split('\n')
split_lines('10\n is\n the\n perfect\n number')
| 17
| 48
| 0.637255
| 19
| 102
| 3.315789
| 0.578947
| 0.31746
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02439
| 0.196078
| 102
| 5
| 49
| 20.4
| 0.743902
| 0
| 0
| 0
| 0
| 0
| 0.350515
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
c9dbc75cfdaf99aefb40f31878b5cebdd5ddf230
| 73
|
py
|
Python
|
schainpy/model/data/__init__.py
|
LuisRondoCuevas/schainpy
|
ef41efe03993a6ae56e587334a1bfc529fccc2df
|
[
"BSD-3-Clause"
] | null | null | null |
schainpy/model/data/__init__.py
|
LuisRondoCuevas/schainpy
|
ef41efe03993a6ae56e587334a1bfc529fccc2df
|
[
"BSD-3-Clause"
] | null | null | null |
schainpy/model/data/__init__.py
|
LuisRondoCuevas/schainpy
|
ef41efe03993a6ae56e587334a1bfc529fccc2df
|
[
"BSD-3-Clause"
] | null | null | null |
from .jrodata import *
from .jroheaderIO import *
from .jroamisr import *
| 24.333333
| 26
| 0.767123
| 9
| 73
| 6.222222
| 0.555556
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150685
| 73
| 3
| 27
| 24.333333
| 0.903226
| 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
|
c9f33b42702c7fe16077e7d5db912b9ef8a387f8
| 1,499
|
py
|
Python
|
python/tests/placement/mccme7.py
|
geometer/sandbox
|
373ec96e69df76744a19b51f7caa865cbc6b58cd
|
[
"Apache-2.0"
] | 6
|
2020-04-19T11:26:18.000Z
|
2021-06-21T18:42:51.000Z
|
python/tests/placement/mccme7.py
|
geometer/sandbox
|
373ec96e69df76744a19b51f7caa865cbc6b58cd
|
[
"Apache-2.0"
] | 31
|
2020-04-21T17:24:39.000Z
|
2020-08-27T15:59:12.000Z
|
python/tests/placement/mccme7.py
|
geometer/sandbox
|
373ec96e69df76744a19b51f7caa865cbc6b58cd
|
[
"Apache-2.0"
] | null | null | null |
# Problem 7 from http://zadachi.mccme.ru/2012/
import math
from sandbox import Scene, iterative_placement
from .base import PlacementTest
class TestMCCME7_long(PlacementTest):
def createPlacement(self):
scene = Scene()
O = scene.free_point(label='O')
circle = O.circle_through(scene.free_point(layer='auxiliary'))
A = circle.free_point(label='A')
B = circle.free_point(label='B')
C = circle.free_point(label='C')
D = circle.free_point(label='D')
scene.quadrilateral_constraint(A, B, C, D)
A.distance_constraint(B, 3)
B.distance_constraint(C, 4)
C.distance_constraint(D, 5)
A.distance_constraint(D, 2)
return iterative_placement(scene)
def test1(self):
self.assertDistance('A', 'C', math.sqrt(299.0 / 11))
class TestMCCME7_quick(PlacementTest):
def createPlacement(self):
scene = Scene()
O = scene.free_point(label='O', x=0, y=0)
A = scene.free_point(label='A')
circle = O.circle_through(A)
B = circle.free_point(label='B')
C = circle.free_point(label='C')
D = circle.free_point(label='D')
scene.quadrilateral_constraint(A, B, C, D)
A.distance_constraint(B, 3)
B.distance_constraint(C, 4)
C.distance_constraint(D, 5)
A.distance_constraint(D, 2)
return iterative_placement(scene)
def test1(self):
self.assertDistance('A', 'C', math.sqrt(299.0 / 11))
| 29.98
| 70
| 0.627085
| 202
| 1,499
| 4.514851
| 0.252475
| 0.108553
| 0.153509
| 0.153509
| 0.710526
| 0.710526
| 0.710526
| 0.710526
| 0.710526
| 0.710526
| 0
| 0.027241
| 0.240827
| 1,499
| 49
| 71
| 30.591837
| 0.774165
| 0.029353
| 0
| 0.702703
| 0
| 0
| 0.015829
| 0
| 0
| 0
| 0
| 0
| 0.054054
| 1
| 0.108108
| false
| 0
| 0.081081
| 0
| 0.297297
| 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
|
a01e0914be033f54294f92bbd816d82bcd7622f1
| 51
|
py
|
Python
|
SearchAPI/CMR/Output/__init__.py
|
asfadmin/Discovery-SearchAPI
|
d5e0b3d3a6a74c7f243ddc74a2316cd7b7380edd
|
[
"BSD-3-Clause"
] | null | null | null |
SearchAPI/CMR/Output/__init__.py
|
asfadmin/Discovery-SearchAPI
|
d5e0b3d3a6a74c7f243ddc74a2316cd7b7380edd
|
[
"BSD-3-Clause"
] | null | null | null |
SearchAPI/CMR/Output/__init__.py
|
asfadmin/Discovery-SearchAPI
|
d5e0b3d3a6a74c7f243ddc74a2316cd7b7380edd
|
[
"BSD-3-Clause"
] | null | null | null |
from .output_translators import output_translators
| 25.5
| 50
| 0.901961
| 6
| 51
| 7.333333
| 0.666667
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078431
| 51
| 1
| 51
| 51
| 0.93617
| 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
|
4e482f17f4dde69948aeee8d7c63b04d1f0cd357
| 10,647
|
py
|
Python
|
assemblyline_client/v4_client/module/alert.py
|
IanLee1521/assemblyline_client
|
ed2394710b5dcd5b99b21d7352a8c5dff49b6463
|
[
"MIT"
] | 21
|
2020-04-27T02:48:15.000Z
|
2022-02-09T00:15:52.000Z
|
assemblyline_client/v4_client/module/alert.py
|
IanLee1521/assemblyline_client
|
ed2394710b5dcd5b99b21d7352a8c5dff49b6463
|
[
"MIT"
] | 5
|
2020-05-11T12:44:49.000Z
|
2022-03-23T11:43:38.000Z
|
assemblyline_client/v4_client/module/alert.py
|
IanLee1521/assemblyline_client
|
ed2394710b5dcd5b99b21d7352a8c5dff49b6463
|
[
"MIT"
] | 8
|
2020-11-09T12:24:40.000Z
|
2021-09-30T15:57:10.000Z
|
from assemblyline_client.v4_client.common.utils import api_path_by_module, get_function_kwargs, api_path
class Alert(object):
def __init__(self, connection):
self._connection = connection
self.batch = Batch(connection)
def __call__(self, alert_id):
"""\
Return the full alert for a given alert_id.
Required:
alert_id: Alert key. (string)
Throws a Client exception if the alert does not exist.
"""
return self._connection.get(api_path('alert', alert_id))
def grouped(self, field, fq=[], q=None, tc_start=None, tc=None, no_delay=False, offset=0, rows=10):
"""\
List all alert grouped by a given field
Required:
field: Field to group the alerts by
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
no_delay: Do not delay alerts
offset : Offset at which we start giving alerts
rows : Number of alerts to return
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'offset': offset,
'params_tuples': params_tuples,
'q': q,
'rows': rows,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, field, **kw))
def label(self, alert_id, *labels):
"""\
Add label(s) to the alert with the given alert_id.
Required:
alert_id: Alert key (string)
*labels : One or more labels (variable argument list of strings)
Throws a Client exception if the alert does not exist.
"""
return self._connection.post(api_path_by_module(self, alert_id), json=labels)
def labels(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False):
"""\
Find the different labels matching the query.
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
no_delay: Do not delay alerts
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'params_tuples': params_tuples,
'q': q,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def list(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False, offset=0, rows=10):
"""\
List all alerts in the system (per page)
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
no_delay: Do not delay alerts
offset : Offset at which we start giving alerts
rows : Number of alerts to return
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'offset': offset,
'params_tuples': params_tuples,
'q': q,
'rows': rows,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def ownership(self, alert_id):
"""\
Set the ownership of the alert with the given alert_id to the current user.
Required:
alert_id: Alert key (string)
Throws a Client exception if the alert does not exist.
"""
return self._connection.get(api_path_by_module(self, alert_id))
def priority(self, alert_id, priority):
"""\
Set the priority of the alert with the given alert_id.
Required:
alert_id: Alert key (string)
priority: Priority (enum: LOW, MEDIUM, HIGH, CRITICAL)
Throws a Client exception if the alert does not exist.
"""
return self._connection.post(api_path_by_module(self, alert_id), json=priority)
def priorities(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False):
"""\
Find the different priorities matching the query.
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
no_delay: Do not delay alerts
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'params_tuples': params_tuples,
'q': q,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def related(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False):
"""\
Return the list of all IDs related to the currently selected query.
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
no_delay: Do not delay alerts
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'params_tuples': params_tuples,
'q': q,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def statistics(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False):
"""\
Find the different statistics for the alerts matching the query.
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
no_delay: Do not delay alerts
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'params_tuples': params_tuples,
'q': q,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def status(self, alert_id, status):
"""\
Set the status of the alert with the given alert_id.
Required:
alert_id: Alert key (string)
status : Status (enum: MALICIOUS, NON-MALICIOUS, ASSESS)
Throws a Client exception if the alert does not exist.
"""
return self._connection.post(api_path_by_module(self, alert_id), json=status)
def statuses(self, fq=[], q=None, tc_start=None, tc=None, no_delay=False):
"""\
Find the different statuses matching the query.
Optional:
fq : Post filter queries (you can have multiple of these)
q : Query to apply to the alert list
tc_start: Time offset at which we start the time constraint
tc : Time constraint applied to the API
no_delay: Do not delay alerts
"""
params_tuples = [('fq', x) for x in fq]
kw = {
'params_tuples': params_tuples,
'q': q,
'tc_start': tc_start,
'tc': tc
}
if no_delay:
kw['no_delay'] = True
return self._connection.get(api_path_by_module(self, **kw))
def verdict(self, alert_id, verdict):
"""\
Set the verdict of the alert with the given alert_id.
Required:
alert_id: Alert key (string)
verdict : Verdict (enum: malicious, non_malicious)
Throws a Client exception if the alert does not exist.
"""
return self._connection.put(api_path_by_module(self, alert_id, verdict))
# noinspection PyUnusedLocal
class Batch(object):
def __init__(self, connection):
self._connection = connection
def label(self, q, labels, tc=None, tc_start=None, fq_list=None):
"""\
Add labels to alerts matching the search criteria.
Required:
q : Query used to limit the scope of the data (string)
labels : Labels to apply (list of strings)
Optional:
tc : Time constraint applied to the query (string)
tc_start : Date which the time constraint will be applied to [Default: NOW] (string)
fq_list : List of filter queries (list of strings)
"""
if not fq_list:
fq_list = []
kw = get_function_kwargs('self', 'fq_list', 'labels')
path = api_path('alert/label/batch', params_tuples=[('fq', fq) for fq in fq_list], **kw)
return self._connection.post(path, json=labels)
def ownership(self, q, tc=None, tc_start=None, fq_list=None):
"""\
Set ownership on alerts matching the search criteria.
Required:
q : Query used to limit the scope of the data (string)
Optional:
tc : Time constraint applied to the query (string)
tc_start : Date which the time constraint will be applied to [Default: NOW] (string)
fq_list : List of filter queries (list of strings)
"""
if not fq_list:
fq_list = []
kw = get_function_kwargs('self', 'fq_list', 'ownership')
path = api_path('alert/ownership/batch', params_tuples=[('fq', fq) for fq in fq_list], **kw)
return self._connection.get(path)
def priority(self, q, priority, tc=None, tc_start=None, fq_list=None):
"""\
Set the priority on alerts matching the search criteria.
Required:
q : Query used to limit the scope of the data (string)
priority: Priority (enum: LOW, MEDIUM, HIGH, CRITICAL)
Optional:
tc : Time constraint applied to the query (string)
tc_start : Date which the time constraint will be applied to [Default: NOW] (string)
fq_list : List of filter queries (list of strings)
"""
if not fq_list:
fq_list = []
kw = get_function_kwargs('self', 'fq_list', 'priority')
path = api_path('alert/priority/batch', params_tuples=[('fq', fq) for fq in fq_list], **kw)
return self._connection.post(path, json=priority)
def status(self, q, status, tc=None, tc_start=None, fq_list=None):
"""\
Set the status on alerts matching the search criteria.
Required:
q : Query used to limit the scope of the data (string)
status : Status (enum: MALICIOUS, NON-MALICIOUS, ASSESS)
Optional:
tc : Time constraint applied to the query (string)
tc_start : Date which the time constraint will be applied to [Default: NOW] (string)
fq_list : List of filter queries (list of strings)
"""
if not fq_list:
fq_list = []
kw = get_function_kwargs('self', 'fq_list', 'status')
path = api_path('alert/status/batch', params_tuples=[('fq', fq) for fq in fq_list], **kw)
return self._connection.post(path, json=status)
| 31.40708
| 104
| 0.637832
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| 0.83473
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| 0.829703
| 0.780046
| 0.77182
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| 0.000891
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| 10,647
| 338
| 105
| 31.5
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| 0.471119
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| 0.624
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| 0
| 0.076447
| 0.003822
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| 1
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| 0
| 0
|
0
| 6
|
4e6b4418044edc103e8d4cf20457aaf0e78ab905
| 81
|
py
|
Python
|
horch/__init__.py
|
sbl1996/pytorch-hrvvi-ext
|
f19abcbedd844a700b2e2596dd817ea80cbb6287
|
[
"MIT"
] | 17
|
2019-05-14T10:47:25.000Z
|
2021-06-09T05:39:47.000Z
|
horch/__init__.py
|
sbl1996/pytorch-hrvvi-ext
|
f19abcbedd844a700b2e2596dd817ea80cbb6287
|
[
"MIT"
] | null | null | null |
horch/__init__.py
|
sbl1996/pytorch-hrvvi-ext
|
f19abcbedd844a700b2e2596dd817ea80cbb6287
|
[
"MIT"
] | 5
|
2019-08-08T07:04:38.000Z
|
2020-07-04T08:58:32.000Z
|
from horch.common import cuda, cpu, detach
from horch._version import __version__
| 40.5
| 42
| 0.839506
| 12
| 81
| 5.25
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| 81
| 2
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|
0
| 6
|
4e8d32e0bee91efd2884c8ef8eb1f69cfbfc4757
| 169,060
|
py
|
Python
|
pirates/battle/CombatAnimations.py
|
ksmit799/POTCO-PS
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 8
|
2017-01-24T04:33:29.000Z
|
2020-11-01T08:36:24.000Z
|
pirates/battle/CombatAnimations.py
|
ksmit799/Pirates-Online-Remake
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 1
|
2017-03-02T18:05:17.000Z
|
2017-03-14T06:47:10.000Z
|
pirates/battle/CombatAnimations.py
|
ksmit799/Pirates-Online-Remake
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 11
|
2017-03-02T18:46:07.000Z
|
2020-11-01T08:36:26.000Z
|
# File: C (Python 2.4)
import WeaponGlobals
from direct.interval.IntervalGlobal import *
from direct.directnotify.DirectNotifyGlobal import directNotify
from pandac.PandaModules import *
from direct.actor import Actor
from pirates.uberdog.UberDogGlobals import InventoryType
from pirates.effects.DaggerProjectile import DaggerProjectile
from pirates.effects.CameraShaker import CameraShaker
from pirates.effects.SmokeCloud import SmokeCloud
from pirates.effects.ThrowDirt import ThrowDirt
from pirates.effects.ShockwaveRing import ShockwaveRing
from pirates.effects.DustRing import DustRing
from pirates.effects.WindBlurCone import WindBlurCone
from pirates.effects.VenomSpitProjectile import VenomSpitProjectile
from pirates.effects.HomingMissile import HomingMissile
from pirates.effects.DaggerProjectile import DaggerProjectile
from pirates.effects.WispSpiral import WispSpiral
from pirates.effects.AttuneSmoke import AttuneSmoke
from pirates.effects.MusketSmoke import MusketSmoke
from pirates.effects.MusketFlame import MusketFlame
from pirates.effects.PistolSmoke import PistolSmoke
from pirates.effects.PistolFlame import PistolFlame
from pirates.effects.BeamEffect import BeamEffect
from pirates.effects.SoulHarvest import SoulHarvest
from pirates.effects.DomeExplosion import DomeExplosion
from pirates.effects.DarkPortal import DarkPortal
from pirates.effects.UnholyFlare import UnholyFlare
from pirates.effects.NovaStar import NovaStar
from pirates.effects.HomingMissile import HomingMissile
from pirates.effects.DarkStar import DarkStar
from pirates.effects.Pestilence import Pestilence
from pirates.effects.VoodooProjectile import VoodooProjectile
from pirates.effects.FlamingSkull import FlamingSkull
from pirates.effects.JollySoulDrain import JollySoulDrain
from pirates.effects.VoodooFire import VoodooFire
from pirates.effects.WitherCharge import WitherCharge
from pirates.effects.EvilRingEffect import EvilRingEffect
from pirates.effects.VoodooPestilence import VoodooPestilence
from pirates.effects.SoulFlay import SoulFlay
from pirates.effects.VoodooSouls import VoodooSouls
from pirates.effects.VoodooGlow import VoodooGlow
from pirates.effects.SoulSpiral import SoulSpiral
from pirates.effects.EnergySpiral import EnergySpiral
from pirates.effects.VoodooAura import VoodooAura
from pirates.effects.VoodooAura2 import VoodooAura2
from pirates.effects.VoodooPower import VoodooPower
from pirates.effects.WindWave import WindWave
from pirates.effects.DesolationSmoke import DesolationSmoke
from pirates.effects.WindCharge import WindCharge
from pirates.effects.DesolationChargeSmoke import DesolationChargeSmoke
from pirates.effects.SoulHarvest2 import SoulHarvest2
from pirates.effects.VoodooStaffFire import VoodooStaffFire
from pirates.effects.MuzzleFlash import MuzzleFlash
from pirates.effects.SpectralTrail import SpectralTrail
from pirates.effects.SpectralSmoke import SpectralSmoke
from pirates.effects.HealSparks import HealSparks
from pirates.effects.FadingCard import FadingCard
from pirates.effects.JRSoulHarvest import JRSoulHarvest
from pirates.effects.JRSoulHarvest2 import JRSoulHarvest2
from pirates.effects.JRGraveSmoke import JRGraveSmoke
from pirates.effects.GrapeshotEffect import GrapeshotEffect
from pirates.effects.PistolShot import PistolShot
from pirates.effects.ScatterShot import ScatterShot
from pirates.effects.MusketShot import MusketShot
from pirates.effects.VoodooAuraBurst import VoodooAuraBurst
from pirates.effects.FlashEffect import FlashEffect
from pirates.effects.HealBlast import HealBlast
from pirates.effects.PulsingGlow import PulsingGlow
from pirates.effects.ConeRays import ConeRays
from pirates.effects.VoodooAuraHeal import VoodooAuraHeal
from pirates.effects.VoodooAuraDisc import VoodooAuraDisc
from pirates.effects.VoodooGroundAura import VoodooGroundAura
from pirates.effects.HitPulse import HitPulse
from pirates.effects.SimpleSmokeCloud import SimpleSmokeCloud
from pirates.effects.MonkeyPanicHit import MonkeyPanicHit
from GrenadeProjectile import GrenadeProjectile
from pirates.piratesbase import PLocalizer
from pirates.inventory import ItemGlobals
from pirates.battle.EnemySkills import *
import random
import copy
from direct.showbase.InputStateGlobal import inputState
MISTIMEDLIST = [
WeaponGlobals.RESULT_MISTIMED_MISS,
WeaponGlobals.RESULT_MISTIMED_HIT]
class CombatAnimations:
notify = directNotify.newCategory('CombatAnimations')
BASE_GRENADE_POWER = 0.80000000000000004
def getHack(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 0.625
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 0.84999999999999998
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 4, endFrame = 30, blendInT = 0.20000000000000001, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 0.75
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 1.3
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.29999999999999999), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 31, endFrame = 62, blendInT = 0.5, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getCleave(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 1.25
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 1.5
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 63, endFrame = 101, blendInT = 0.5, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 1.5800000000000001
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 2.0800000000000001
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 102, endFrame = 150, blendInT = 0.5, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getThrust(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 1.8
if av.isLocal() and av.guiMgr.combatTray.onLastAttack:
delay = 2.0499999999999998
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = WindBlurCone.getEffect(unlimited)
if effect and not av.currentWeapon.isEmpty():
colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId)
if colorId == ItemGlobals.MotionBlurDark:
effect.setBlendModeOff()
else:
effect.setBlendModeOn()
effect.fadeColor = av.currentWeapon.getBlurColor()
effect.reparentTo(av.currentWeapon)
effect.fadeTime = 0.40000000000000002
effect.setPos(0, 0, 0)
effect.setScale(1)
effect.setH(0)
effect.play()
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 151, endFrame = 164, blendInT = 0.5, blendOutT = 0), Func(av.currentWeapon.showSpinBlur), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 165, endFrame = 170, blendInT = 0, blendOutT = 0), Func(startVFX), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 171, endFrame = 175, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.hideSpinBlur), av.actorInterval('cutlass_combo', playRate = 1.0, startFrame = 176, endFrame = 210, blendInT = 0, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getSweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 3)
shockwaveRingEffect.play()
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 15, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 16, endFrame = 35, blendInT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getBlowbackSweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = CameraShaker()
effect.reparentTo(av)
effect.setPos(0, 0, 0)
effect.shakeSpeed = 0.059999999999999998
effect.shakePower = 2.5
effect.numShakes = 3
effect.scalePower = 1
effect.play(300)
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooAuraBurst.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(0, 0, 0.25)
effect.setEffectColor(Vec4(0.14999999999999999, 0.14999999999999999, 0.14999999999999999, 1.0))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 15, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 16, endFrame = 35, blendInT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFireSweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = CameraShaker()
effect.reparentTo(av)
effect.setPos(0, 0, 0)
effect.shakeSpeed = 0.059999999999999998
effect.shakePower = 2.5
effect.numShakes = 3
effect.scalePower = 1
effect.play(300)
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooAuraBurst.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(0, 0, 0.25)
effect.setEffectColor(Vec4(1, 0.80000000000000004, 0.40000000000000002, 0.40000000000000002))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 15, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 16, endFrame = 35, blendInT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getIceSweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = CameraShaker()
effect.reparentTo(av)
effect.setPos(0, 0, 0)
effect.shakeSpeed = 0.059999999999999998
effect.shakePower = 2.5
effect.numShakes = 3
effect.scalePower = 1
effect.play(300)
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooAuraBurst.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(0, 0, 0.25)
effect.setEffectColor(Vec4(0.40000000000000002, 0.59999999999999998, 1, 0.59999999999999998))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 15, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 16, endFrame = 35, blendInT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getThunderSweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = CameraShaker()
effect.reparentTo(av)
effect.setPos(0, 0, 0)
effect.shakeSpeed = 0.059999999999999998
effect.shakePower = 2.5
effect.numShakes = 3
effect.scalePower = 1
effect.play(300)
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooAuraBurst.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(0, 0, 0.25)
effect.setEffectColor(Vec4(0.69999999999999996, 0.90000000000000002, 0.5, 0.5))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.startSpecialEffect, skillId), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 15, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 16, endFrame = 35, blendInT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFurySweep(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
def startVFX2():
unlimited = av.isLocal()
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 1)
shockwaveRingEffect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
dustRingEffect = DustRing.getEffect(unlimited)
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
def startVFX3():
unlimited = av.isLocal()
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 2)
shockwaveRingEffect.play()
def startVFX4():
unlimited = av.isLocal()
shockwaveRingEffect = ShockwaveRing.getEffect(unlimited)
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 3)
shockwaveRingEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.69999999999999996), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 1, endFrame = 10, blendOutT = 0), Func(startVFX), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 11, endFrame = 18, blendInT = 0, blendOutT = 0), Func(startVFX2), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 18, endFrame = 26, blendInT = 0, blendOutT = 0), Func(startVFX3), av.actorInterval('cutlass_sweep', playRate = 1.0, startFrame = 26, endFrame = 35, blendInT = 0.0), Func(startVFX4), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getBladestorm(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.55000000000000004), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_bladestorm', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getBrawl(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.29999999999999999), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av))
ival.append(av.actorInterval('cutlass_headbutt', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5))
ival.append(Func(av.currentWeapon.endAttack, av))
ival.append(Func(av.considerEnableMovement))
ival.append(Func(self.unlockInput, av))
return ival
def getTaunt(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.setChatAbsolute, PLocalizer.getTauntPhrase(), CFSpeech | CFTimeout), Func(av.currentWeapon.setTrailLength, 0.14999999999999999), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cutlass_taunt', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getCower(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.setChatAbsolute, PLocalizer.getNotInFacePhrase(), CFSpeech | CFTimeout), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('cower_in_place', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getMonkeyPanic(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
flashEffect = FlashEffect()
flashEffect.reparentTo(av.headNode)
flashEffect.setScale(15.0)
flashEffect.fadeTime = 1.0
flashEffect.setEffectColor(Vec4(1, 0.20000000000000001, 0.20000000000000001, 1))
flashEffect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = MonkeyPanicHit.getEffect(unlimited)
if effect:
effect.reparentTo(av.headNode)
effect.setPos(-1, 0, 0)
effect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.14999999999999999), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval('emote_thriller', playRate = 1.0, startFrame = 265, endFrame = 320, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getBroadswordHack(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo', playRate = 1.0, startFrame = 1, endFrame = 28, blendInT = 0.10000000000000001, blendOutT = 0.10000000000000001), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.84999999999999998), Func(self.unlockInput, av)))
return ival
def getBroadswordSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.29999999999999999), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo', playRate = 1.0, startFrame = 29, endFrame = 60, blendInT = 0.5, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.94999999999999996), Func(self.unlockInput, av)))
return ival
def getBroadswordCleave(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate = 1.0, startFrame = 61, endFrame = 76, blendInT = 0.10000000000000001, blendOutT = 0), av.actorInterval('broadsword_combo', playRate = 1.0, startFrame = 77, endFrame = 96, blendInT = 0, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.05), Func(self.unlockInput, av)))
return ival
def getBroadswordFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate = 1.0, startFrame = 97, endFrame = 112, blendInT = 0.10000000000000001, blendOutT = 0), av.actorInterval('broadsword_combo', playRate = 1.0, startFrame = 113, endFrame = 128, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.94999999999999996), Func(self.unlockInput, av)))
return ival
def getBroadswordThrust(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
delay = 1.0
if av.isLocal() and av.guiMgr.combatTray.onLastAttack:
delay = 1.45
if skillResult in MISTIMEDLIST:
wantTrail = 0
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = WindBlurCone.getEffect(unlimited)
if effect and not av.currentWeapon.isEmpty():
colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId)
if colorId == ItemGlobals.MotionBlurDark:
effect.setBlendModeOff()
else:
effect.setBlendModeOn()
effect.fadeColor = av.currentWeapon.getBlurColor()
effect.reparentTo(av.currentWeapon)
effect.fadeTime = 0.40000000000000002
effect.setPos(0, 0, 0)
effect.setScale(1)
effect.setH(0)
effect.play()
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('broadsword_combo_motion', playRate = 1.0, startFrame = 129, endFrame = 148, blendInT = 0.5, blendOutT = 0), av.actorInterval('broadsword_combo', playRate = 1.0, startFrame = 149, endFrame = 170, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getSabreHack(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate = 1.0, startFrame = 1, endFrame = 19, blendInT = 0.20000000000000001, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.42499999999999999), Func(self.unlockInput, av)))
return ival
def getSabreSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.29999999999999999), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate = 1.0, startFrame = 20, endFrame = 37, blendInT = 0.10000000000000001, blendOutT = 0.10000000000000001), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(0.40000000000000002), Func(self.unlockInput, av)))
return ival
def getSabreCleave(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo', playRate = 1.0, startFrame = 38, endFrame = 81, blendInT = 0.5, blendOutT = 0.29999999999999999), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getSabreFlourish(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo_motion', playRate = 1.0, startFrame = 82, endFrame = 94, blendInT = 0.10000000000000001, blendOutT = 0), av.actorInterval('sabre_combo', playRate = 1.0, startFrame = 95, endFrame = 121, blendInT = 0, blendOutT = 0.10000000000000001), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getSabreThrust(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 1.3
if av.isLocal() and av.guiMgr.combatTray.onLastAttack:
delay = 1.55
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = WindBlurCone.getEffect(unlimited)
if effect and not av.currentWeapon.isEmpty():
colorId = ItemGlobals.getVfxType1(av.currentWeapon.itemId)
if colorId == ItemGlobals.MotionBlurDark:
effect.setBlendModeOff()
else:
effect.setBlendModeOn()
effect.fadeColor = av.currentWeapon.getBlurColor()
effect.reparentTo(av.currentWeapon)
effect.fadeTime = 0.40000000000000002
effect.setPos(0, 0, 0)
effect.setScale(1)
effect.setH(0)
effect.play()
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('sabre_combo_motion', playRate = 1.0, startFrame = 122, endFrame = 147, blendInT = 0.5, blendOutT = 0), av.actorInterval('sabre_combo', playRate = 1.0, startFrame = 148, endFrame = 175, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getCut(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 0.75
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 1.25
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 1, endFrame = 28, blendInT = 0.20000000000000001, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getSwipe(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 0.58299999999999996
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 1.083
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.29999999999999999), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 29, endFrame = 53, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.hideSpinBlur), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)), Sequence(Wait(0.10000000000000001), Func(av.currentWeapon.showSpinBlur)))
return ival
def getGouge(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 0.95799999999999996
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 1.458
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 54, endFrame = 87, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def getEviscerate(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
delay = 1.8999999999999999
if av == localAvatar and av.guiMgr.combatTray.onLastAttack:
delay = 2.3999999999999999
wantTrail = 1
if skillResult in MISTIMEDLIST:
wantTrail = 0
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.59999999999999998), Func(av.currentWeapon.beginAttack, av, wantTrail), Func(av.currentWeapon.playSkillSfx, skillId, av, 0, wantTrail), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 88, endFrame = 142, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av)), Sequence(Wait(delay), Func(self.unlockInput, av)))
return ival
def throwDagger(self, av, time, targetPos, motion_color = None, startOffset = Vec3(0, 0, 0), roll = 0, leftHand = False, skillId = None, target = None):
if av:
if skillId:
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
time *= speed
roll += random.uniform(-15.0, 15.0)
effect = DaggerProjectile.getEffect()
if effect:
effect.reparentTo(render)
if leftHand:
effect.setPos(av.leftHandNode, startOffset)
else:
effect.setPos(av.rightHandNode, startOffset)
effect.setHpr(av.getH(render) + roll, 90 + roll, roll)
effect.play(time, targetPos, motion_color)
def throwDaggerRain(self, av, time, targetPos, motion_color = None, startOffset = Vec3(0, 0, 0), roll = 0, leftHand = False, skillId = None, target = None):
if av:
if skillId:
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
newTargetPos = Point3(targetPos.getX() + random.uniform(-2.0, 2.0), targetPos.getY() + random.uniform(-2.0, 2.0), targetPos.getZ())
time *= speed
roll += random.uniform(-15.0, 15.0)
effect = DaggerProjectile.getEffect()
if effect:
effect.reparentTo(render)
if leftHand:
effect.setPos(av.leftHandNode, startOffset)
else:
effect.setPos(av.rightHandNode, startOffset)
effect.setHpr(av.getH(render) + roll, 90 + roll, roll)
effect.play(time, newTargetPos, motion_color)
def getDaggerThrowDirtInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
effect = ThrowDirt.getEffect(unlimited)
if effect:
effect.reparentTo(render)
effect.setPos(av.getPos(render))
effect.setHpr(av.getHpr(render))
effect.particleDummy.setPos(av.getPos(render))
effect.particleDummy.setHpr(av.getHpr(render))
effect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(base.disableMouse), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_throw_sand', playRate = 1.0, startFrame = 1, endFrame = 10, blendInT = 0.20000000000000001, blendOutT = 0), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval('dagger_throw_sand', playRate = 1.0, startFrame = 11, endFrame = 38, blendInT = 0, blendOutT = 0.29999999999999999), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDaggerAspInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('knife_throw', endFrame = 17, blendInT = 0.20000000000000001, blendOutT = 0), Parallel(av.actorInterval('knife_throw', startFrame = 18, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, speed, targetPos, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerAdderInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(0.10000000000000001, 1.0, 0.40000000000000002, 1.0),
Vec4(0.5, 1.0, 0.40000000000000002, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('knife_throw', endFrame = 17, blendInT = 0.20000000000000001, blendOutT = 0), Parallel(av.actorInterval('knife_throw', startFrame = 18, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 1.0, targetPos, motion_color, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerSidewinderInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame = 7, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_asp', startFrame = 8, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 1.0, targetPos, motion_color, roll = 90, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerViperNestInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
numDaggers = 12.0
time = 0.69999999999999996
placeHolder = av.attachNewNode('daggerPlaceHolder')
daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_vipers_nest', startFrame = 21, endFrame = 35, blendInT = 0, blendOutT = 0.40000000000000002), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av)))
for i in range(numDaggers):
if av.isLocal():
placeHolder.setPos(camera, random.uniform(-12, 12), random.uniform(100, 120), random.uniform(8, 18))
else:
placeHolder.setPos(av, random.uniform(-12, 12), random.uniform(100, 120), random.uniform(2, 12))
targetPos = placeHolder.getPos(render)
daggerTossIval.append(Func(self.throwDagger, av, time + random.uniform(-0.5, 1.0), targetPos, startOffset = Vec3(-3, 0, 0), roll = 90))
placeHolder.removeNode()
track = Sequence(Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_vipers_nest', endFrame = 20, blendOutT = 0), daggerTossIval)
return track
def getDaggerBarrageInterval(self, av, skillId, ammoSkillId, charge, target, skillResult, areaList = []):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
numDaggers = 6.0
time = 0.69999999999999996
placeHolder = av.attachNewNode('daggerPlaceHolder')
placeHolder2 = placeHolder.attachNewNode('daggerPlaceHolder2')
daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_vipers_nest', startFrame = 21, endFrame = 35, blendInT = 0, blendOutT = 0.40000000000000002), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av)))
if target:
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
daggerTossIval.append(Func(self.throwDagger, av, speed, targetPos, motion_color, startOffset = Vec3(-3, 0, 0), roll = 90))
for enemy in areaList:
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, enemy)
daggerTossIval.append(Func(self.throwDagger, av, speed, targetPos, motion_color, startOffset = Vec3(-3, 0, 0), roll = 90))
if av.isLocal():
placeHolder.setPos(camera, 0, 0, 0)
else:
placeHolder.setPos(av, 0, 0, 0)
for i in range(numDaggers):
placeHolder.setH(i * 360 / numDaggers)
placeHolder2.setPos(0, random.uniform(100, 120), random.uniform(2, 12))
targetPos = placeHolder2.getPos(render)
daggerTossIval.append(Func(self.throwDagger, av, time + random.uniform(-0.5, 1.0), targetPos, motion_color, startOffset = Vec3(-3, 0, 0), roll = 90))
placeHolder.removeNode()
track = Sequence(Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_vipers_nest', endFrame = 20, blendOutT = 0), daggerTossIval)
return track
def getDaggerThrowCombo1Interval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', endFrame = 6, playRate = 1.5, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_throw_combo', startFrame = 7, endFrame = 23, playRate = 1.5, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 0.5, targetPos, motion_color, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerThrowCombo2Interval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(av.currentWeapon.reparentTo, av.leftHandNode), Func(av.attackTire), Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame = 24, endFrame = 30, playRate = 1.5, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_throw_combo', startFrame = 31, endFrame = 46, playRate = 1.5, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 0.5, targetPos, motion_color, leftHand = True, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.reparentTo, av.rightHandNode), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerThrowCombo3Interval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
dagger2 = copy.copy(av.currentWeapon)
av.setSecondWeapon(dagger2)
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(dagger2.reparentTo, av.leftHandNode), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame = 47, endFrame = 56, playRate = 1.5, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_throw_combo', startFrame = 57, endFrame = 78, playRate = 1.5, blendInT = 0, blendOutT = 0.10000000000000001), Func(self.throwDagger, av, 0.5, targetPos, motion_color, skillId = skillId, target = target), Sequence(Wait(0.010999999999999999), Func(self.throwDagger, av, 0.5, targetPos, motion_color, leftHand = True, skillId = skillId, target = target)), Func(av.setSecondWeapon, None), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerThrowCombo4Interval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
dagger2 = copy.copy(av.currentWeapon)
av.setSecondWeapon(dagger2)
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(dagger2.reparentTo, av.leftHandNode), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_throw_combo', startFrame = 79, endFrame = 93, playRate = 1.5, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_throw_combo', startFrame = 94, endFrame = 130, playRate = 1.5, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 0.5, targetPos, motion_color, roll = 90, skillId = skillId, target = target), Sequence(Wait(0.010999999999999999), Func(self.throwDagger, av, 0.5, targetPos, motion_color, roll = 90, leftHand = True, skillId = skillId, target = target)), Func(av.setSecondWeapon, None), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getDaggerRainInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 0.0, 0.0, 1.0),
Vec4(1.0, 0.20000000000000001, 0.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
numDaggers = 3.0
daggerTossIval = Parallel(Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), av.actorInterval('dagger_asp', startFrame = 7, endFrame = 20, blendInT = 0, blendOutT = 0.40000000000000002), Func(av.currentWeapon.showWeapon), Func(av.considerEnableMovement), Func(self.unlockInput, av)))
for i in range(numDaggers):
daggerTossIval.append(Wait(0.010999999999999999 * i))
daggerTossIval.append(Func(self.throwDaggerRain, av, random.uniform(0.94999999999999996, 1.05), targetPos, motion_color, roll = 90, skillId = skillId, target = target))
track = Sequence(Func(av.motionFSM.off), Func(av.attackTire), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.hideWeapon), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame = 6, blendOutT = 0), daggerTossIval)
return track
def getDaggerAcidDaggerInterval(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
motion_color = [
Vec4(1.0, 1.0, 0.0, 1.0),
Vec4(1.0, 1.0, 0.20000000000000001, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('dagger_asp', endFrame = 7, blendInT = 0.10000000000000001, blendOutT = 0), Parallel(av.actorInterval('dagger_asp', startFrame = 8, blendInT = 0, blendOutT = 0.40000000000000002), Func(self.throwDagger, av, 1.0, targetPos, motion_color, roll = 90, skillId = skillId, target = target), Func(av.currentWeapon.hideWeapon)), Func(av.currentWeapon.showWeapon), Func(self.unlockInput, av))
return track
def getPistolChargingAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
subtype = ItemGlobals.getSubtype(av.currentWeaponId)
anim = ItemGlobals.getChargingAnim(subtype)
if ItemGlobals.shouldStopToAim(subtype):
track = Sequence(Func(av.motionFSM.moveLock), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval(anim, loop = 1, duration = 9999, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999))
elif anim:
track = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval(anim, loop = 1, duration = 9999, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999))
else:
track = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 1), Func(av.setAimMod, -0.5), av.actorInterval('gun_aim_idle', loop = 1, duration = 9999, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999))
return track
def getPistolReloadAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def finishReload():
if av.isLocal():
messenger.send('reloadFinished')
if ItemGlobals.getType(av.currentWeaponId) == ItemGlobals.GUN:
sfx = av.currentWeapon.reloadSfx
else:
sfx = None
anim = ItemGlobals.getReloadAnim(ItemGlobals.getSubtype(av.currentWeaponId))
if anim:
if ItemGlobals.getSubtype(av.currentWeaponId) == ItemGlobals.BLUNDERBUSS:
ramRod = av.currentWeapon.getRamRod()
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node = av, cutoff = 60), av.actorInterval(anim, startFrame = 1, endFrame = 13, blendInT = 0, blendOutT = 0), Func(ramRod.reparentTo, av.leftHandNode), av.actorInterval(anim, startFrame = 14, endFrame = 68, blendInT = 0, blendOutT = 0), Func(ramRod.detachNode), av.actorInterval(anim, startFrame = 69, endFrame = 110, blendInT = 0, blendOutT = 0), Func(finishReload), Func(self.unlockInput, av))
else:
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node = av, cutoff = 60), av.actorInterval(anim, blendInT = 0, blendOutT = 0), Func(finishReload), Func(self.unlockInput, av))
else:
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(base.playSfx, sfx, node = av, cutoff = 60), av.actorInterval('gun_reload', blendInT = 0, blendOutT = 0), Func(finishReload), Func(self.unlockInput, av))
del finishReload
return track
def getPistolFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
subtype = ItemGlobals.getSubtype(av.currentWeaponId)
if subtype in [
ItemGlobals.MUSKET,
ItemGlobals.BAYONET]:
return self.getBayonetFireAnim(av, skillId, ammoSkillId, charge, target, skillResult)
elif subtype in [
ItemGlobals.BLUNDERBUSS]:
return self.getPistolScattershotAnim(av, skillId, ammoSkillId, charge, target, skillResult)
def startVFX():
unlimited = av.isLocal()
pistolFlame = PistolShot.getEffect(unlimited)
if pistolFlame:
pistolFlame.reparentTo(av.currentWeapon)
pistolFlame.setPos(1.25, 0.29999999999999999, 0)
pistolFlame.setHpr(0, 0, 90)
pistolFlame.setScale(1)
pistolFlame.play()
anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId))
if anim:
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), av.actorInterval(anim, startFrame = 1, endFrame = 3, blendInT = 0.0, blendOutT = 0.0, playRate = 1.0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, startFrame = 4, endFrame = 12, blendInT = 0.0, blendOutT = 0.0, playRate = 1.0), Func(self.unlockInput, av), av.actorInterval(anim, startFrame = 13, blendInT = 0, blendOutT = 0.29999999999999999, playRate = 1.0))
else:
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('gun_fire', endFrame = 12, blendInT = 0, blendOutT = 0), Func(self.unlockInput, av), av.actorInterval('gun_fire', startFrame = 13, blendInT = 0, blendOutT = 0.29999999999999999))
del startVFX
return ival
def getPistolTakeAimAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.cr.wantSpecialEffects and base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
pistolSmokeEffect = PistolSmoke.getEffect(unlimited)
if pistolSmokeEffect:
pistolSmokeEffect.reparentTo(av)
pistolSmokeEffect.setPos(av, 1.2, 2.5, 5)
pistolSmokeEffect.play()
pistolFlameEffect = PistolFlame.getEffect(unlimited)
if pistolFlameEffect:
pistolFlameEffect.reparentTo(av)
pistolFlameEffect.particleDummy.reparentTo(av)
pistolFlameEffect.flash.setScale(30)
pistolFlameEffect.setPos(av, 1.2, 2.5, 5)
pistolFlameEffect.setColorScale(1, 1, 1, 1)
pistolFlameEffect.play()
subtype = ItemGlobals.getSubtype(av.currentWeaponId)
anim = ItemGlobals.getTakeAimAnim(subtype)
if anim:
if subtype in (ItemGlobals.BAYONET, ItemGlobals.MUSKET, ItemGlobals.BLUNDERBUSS):
ival = Sequence(Func(av.motionFSM.off), Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, playRate = 1, startFrame = 26, blendInT = 0, blendOutT = 0.29999999999999999), Func(av.considerEnableMovement), Func(self.unlockInput, av))
else:
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, playRate = 1, startFrame = 1, blendInT = 0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
else:
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(av.setAimMod, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('gun_fire', playRate = 1, blendInT = 0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
del startVFX
return ival
def getPistolScattershotAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
pistolFlame = ScatterShot.getEffect(unlimited)
if pistolFlame:
pistolFlame.reparentTo(av.currentWeapon)
pistolFlame.setPos(1.75, 0.25, 0)
pistolFlame.setHpr(0, 0, 90)
pistolFlame.setScale(0.40000000000000002)
pistolFlame.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = GrapeshotEffect.getEffect(unlimited)
if effect:
effect.reparentTo(render)
effect.setHpr(av, 0, 0, 0)
effect.setPos(av, 1.2, 2.0, 4)
effect.setScale(0.20000000000000001)
effect.time = 0.5
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = SimpleSmokeCloud.getEffect(unlimited)
if effect:
effect.reparentTo(av.currentWeapon)
effect.setPos(1.75, 0.25, 0)
effect.setEffectScale(0.10000000000000001)
effect.play()
anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId))
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), av.actorInterval(anim, startFrame = 9, endFrame = 11, blendInT = 0.10000000000000001, blendOutT = 0), Func(av.currentWeapon.playSkillSfx, skillId, av), Func(startVFX), av.actorInterval(anim, startFrame = 12, endFrame = 39, blendInT = 0.0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
del startVFX
return ival
def getGrenadeReloadAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def finishReload():
if av.isLocal():
messenger.send('reloadFinished')
if av.currentWeapon.ammoSkillId == InventoryType.GrenadeSiege:
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.detachFrom, av), av.actorInterval('bigbomb_draw', endFrame = 11, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.attachTo, av), av.actorInterval('bigbomb_draw', startFrame = 12, blendInT = 0, blendOutT = 0.29999999999999999), Func(finishReload), Func(self.unlockInput, av))
else:
track = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.currentWeapon.detachFrom, av), av.actorInterval('bomb_draw', endFrame = 5, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.attachTo, av), av.actorInterval('bomb_draw', startFrame = 5, blendInT = 0, blendOutT = 0.29999999999999999), Func(finishReload), Func(self.unlockInput, av))
del finishReload
return track
def getGrenadeChargingAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
if av.currentWeapon.ammoSkillId == InventoryType.GrenadeSiege:
track = Parallel(Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), av.actorInterval('bigbomb_charge', blendInT = 0.29999999999999999, blendOutT = 0), av.actorInterval('bigbomb_charge_loop', loop = 1, duration = 9999, blendInT = 0, blendOutT = 0.29999999999999999)), SoundInterval(av.currentWeapon.chargingSfx, loop = 1, node = av, cutOff = 60))
else:
track = Parallel(Sequence(Func(av.setAimMod, -0.5), Func(av.currentWeapon.hideMouse, av), av.actorInterval('bomb_charge', blendInT = 0.29999999999999999, blendOutT = 0), av.actorInterval('bomb_charge_loop', loop = 1, duration = 9999, blendInT = 0, blendOutT = 0.29999999999999999)), SoundInterval(av.currentWeapon.chargingSfx, loop = 1, node = av, cutOff = 60))
return track
def getGrenadeThrow(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
if ammoSkillId == InventoryType.GrenadeSiege:
attachTime = av.getFrameTime('bigbomb_throw', 40)
track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.playSkillSfx, av.currentWeapon.ammoSkillId, av), Sequence(av.actorInterval('bigbomb_throw', blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(av.considerEnableMovement), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult)))
else:
attachTime = av.getFrameTime('bomb_throw', 15)
track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.currentWeapon.playSkillSfx, skillId, av), Sequence(av.actorInterval('bomb_throw', blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult)))
return track
def getGrenadeLongVolley(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
if ammoSkillId == InventoryType.GrenadeSiege:
attachTime = av.getFrameTime('bigbomb_charge_throw', 9)
track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.playSkillSfx, av.currentWeapon.ammoSkillId, av), Sequence(av.actorInterval('bigbomb_charge_throw', blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(av.considerEnableMovement), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult)))
else:
attachTime = av.getFrameTime('bomb_charge_throw', 4)
track = Parallel(Func(self.lockInput, av), Func(av.attackTire), Func(av.setAimMod, 0), Func(av.currentWeapon.playSkillSfx, skillId, av, startTime = 2.0), Sequence(av.actorInterval('bomb_charge_throw', blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av)), Sequence(Wait(attachTime), Func(av.currentWeapon.detachFrom, av), Func(self.spawnGrenade, av, skillId, ammoSkillId, charge, target, skillResult)))
return track
def spawnGrenade(self, av, skillId, ammoSkillId, charge, target, skillResult):
grenade = GrenadeProjectile(av.cr, ammoSkillId, av.projectileHitEvent)
grenade.detachNode()
grenade.setBillboardPointEye()
grenadeModelCol = grenade.find('**/collide')
if grenadeModelCol and not grenadeModelCol.isEmpty():
grenadeModelCol.removeNode()
if av.isLocal():
collNode = grenade.getCollNode()
collNode.reparentTo(render)
else:
collNode = None
av.ammoSequence = av.ammoSequence + 1 & 255
grenade.setTag('ammoSequence', str(av.ammoSequence))
grenade.setTag('skillId', str(int(skillId)))
grenade.setTag('ammoSkillId', str(int(ammoSkillId)))
grenade.setTag('attackerId', str(av.getDoId()))
self.putGrenadeInHand(av, grenade)
self.addCollider(av, grenade, collNode)
self.throwGrenade(av, skillId, ammoSkillId, grenade, collNode, charge, target)
def addCollider(self, av, grenade, collNode):
if av.isLocal():
base.cTrav.addCollider(collNode, grenade.collHandler)
def removeCollider(self, av, collNode):
if av.isLocal():
base.cTrav.removeCollider(collNode)
def throwGrenade(self, av, skillId, ammoSkillId, grenade, collNode, powerMod = 0, target = None):
if not av:
return None
startPos = av.rightHandNode.getPos(render)
endPos = None
duration = None
wayPoint = None
timeToWayPoint = None
if target == None:
power = WeaponGlobals.getAttackProjectilePower(skillId, ammoSkillId)
power *= powerMod + self.BASE_GRENADE_POWER
if av.isLocal():
pitch = camera.getP(render)
else:
pitch = 0.0
m = av.getMat(render)
startVel = m.xformVec(Vec3(0, power, 30 + pitch))
if av.isLocal():
forwardVel = av.controlManager.currentControls.getSpeeds()[0]
sideVel = av.controlManager.currentControls.getSpeeds()[2]
avVel = m.xformVec(Vec3(sideVel / 3.0, forwardVel, 0))
startVel += avVel
endPlaneZ = startPos[2] - 100
else:
startVel = None
endPos = target.getPos(render)
wayPoint = endPos
endPos = None
tgtDist = av.getDistance(target)
duration = WeaponGlobals.getAIProjectileAirTime(tgtDist)
timeToWayPoint = duration
duration = None
endPlaneZ = wayPoint.getZ() - 100
try:
projInterval = ProjectileInterval(grenade, startPos = startPos, endPos = endPos, duration = duration, startVel = startVel, endZ = endPlaneZ, collNode = collNode, wayPoint = wayPoint, timeToWayPoint = timeToWayPoint)
except StandardError:
e = None
raise StandardError('(localAv %s) Invalid projectile parameters(%s,%s,%s,%s,%s,%s,%s)' % (av.isLocal(), startPos, endPos, duration, startVel, endPlaneZ, wayPoint, timeToWayPoint))
ival = Sequence(projInterval, Func(self.removeCollider, av, collNode), Func(grenade.destroy), name = 'Grenade-%s-%s' % (av.doId, grenade.id()))
grenade.setIval(ival, start = True)
def putGrenadeInHand(self, av, grenade):
grenade.reparentTo(render)
grenade.setPos(render, av.rightHandNode.getPos(render))
def playCastingAnim(self, av):
if not av.currentWeapon:
return None
if av.attuneEffect:
av.attuneEffect.castEffect.start()
effect = FadingCard(av.currentWeapon.effectCard, av.currentWeapon.effectColor)
effect.reparentTo(av.currentWeapon)
effect.play()
def getPoke(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_doll_poke', endFrame = 50, playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getEvilEye(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
attuneEffect = VoodooAura.getEffect(unlimited)
if attuneEffect:
attuneEffect.reparentTo(render)
attuneEffect.setPos(av.headNode, 0, 0, 0)
attuneEffect.setEffectColor(Vec4(0.20000000000000001, 0.10000000000000001, 0.5, 1))
attuneEffect.particleDummy.reparentTo(render)
attuneEffect.play()
if target:
if hasattr(target, 'creature') and target.creature:
if not target.creature.headNode.isEmpty():
targetPos = target.creature.headNode.getPos(render)
else:
targetPos = target.getPos(render)
elif hasattr(target, 'headNode'):
targetPos = target.headNode.getPos(render)
else:
targetPos = target.getPos(render)
else:
dummy = av.attachNewNode('dummy')
dummy.setPos(0, 30, 4)
targetPos = dummy.getPos(render)
dummy.removeNode()
moveIval = LerpPosInterval(attuneEffect, 0.40000000000000002, targetPos)
moveIval.start()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), av.actorInterval('emote_anger', playRate = 2.0, blendInT = 0.20000000000000001, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getReflect(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
auraPulse = HitPulse.getEffect(unlimited)
if auraPulse:
auraPulse.reparentTo(av)
auraPulse.setEffectColor(Vec4(1, 0.90000000000000002, 0.59999999999999998, 0.75))
auraPulse.effectModel.setPos(0, 3, 4.0)
auraPulse.setScale(1.0)
if target:
auraPulse.lookAt(target)
else:
auraPulse.lookAt(base.camera)
auraPulse.play()
flashEffect = FlashEffect()
flashEffect.reparentTo(av.rightHandNode)
flashEffect.setScale(10.0)
flashEffect.fadeTime = 1.0
flashEffect.setEffectColor(Vec4(1, 0.90000000000000002, 0.59999999999999998, 1))
flashEffect.play()
auraEffect = VoodooAura2.getEffect(unlimited)
if auraEffect:
auraEffect.reparentTo(render)
auraEffect.setPos(av, 0, 2, 4)
auraEffect.setEffectColor(Vec4(1, 0.90000000000000002, 0.59999999999999998, 0.14999999999999999))
auraEffect.particleDummy.reparentTo(render)
auraEffect.play()
if target:
if hasattr(target, 'creature') and target.creature:
if not target.creature.headNode.isEmpty():
targetPos = target.creature.headNode.getPos(render)
else:
targetPos = target.getPos(render)
else:
targetPos = target.headNode.getPos(render)
moveIval = LerpPosInterval(auraEffect, 0.40000000000000002, targetPos)
moveIval.start()
ival = Sequence(Func(self.lockInput, av), av.actorInterval('voodoo_tune', playRate = 1.5, startFrame = 0, endFrame = 20, blendInT = 0.10000000000000001, blendOutT = 0.0), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('voodoo_tune', playRate = 1.5, startFrame = 20, endFrame = 35, blendInT = 0.0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getAttune(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), av.actorInterval('voodoo_tune', playRate = 2.0, endFrame = 35, blendInT = 0.20000000000000001, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getUnattune(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.playUnattuneSfx, av.currentWeapon), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getHeal(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getShackles(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getSwarm(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getBurn(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getCure(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getHexWard(self, av, skillId, ammoSkillId, charge, target, skillResult):
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
auraPulse = HitPulse.getEffect(unlimited)
if auraPulse:
auraPulse.reparentTo(av)
auraPulse.setEffectColor(Vec4(0.40000000000000002, 0.29999999999999999, 1, 0.75))
auraPulse.effectModel.setPos(0, 3, 4.0)
auraPulse.setScale(1.0)
if target:
auraPulse.lookAt(target)
else:
auraPulse.lookAt(base.camera)
auraPulse.play()
flashEffect = FlashEffect()
flashEffect.reparentTo(av.rightHandNode)
flashEffect.setScale(10.0)
flashEffect.fadeTime = 1.0
flashEffect.setEffectColor(Vec4(0.20000000000000001, 0.59999999999999998, 1, 1))
flashEffect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Func(startVFX), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getCaptainsResolve(self, av, skillId, ammoSkillId, charge, target, skillResult):
def startVFX():
unlimited = av.isLocal()
pulseFlash = PulsingGlow.getEffect(unlimited)
if pulseFlash:
pulseFlash.reparentTo(av.currentWeapon)
pulseFlash.setEffectColor(Vec4(0.29999999999999999, 1, 1, 0.80000000000000004))
pulseFlash.setScale(1.0)
pulseFlash.play()
coneRays = ConeRays.getEffect(unlimited)
if coneRays:
coneRays.reparentTo(av)
coneRays.setPos(0, 0, 1.0)
coneRays.setEffectColor(Vec4(0.29999999999999999, 1, 1, 0.20000000000000001))
coneRays.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
healBlast = HealBlast.getEffect(unlimited)
if healBlast:
healBlast.reparentTo(av)
healBlast.setPos(0, 0, 6.0)
healBlast.play()
def startVFX2():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
healDisc = VoodooGroundAura.getEffect(unlimited)
if healDisc:
healDisc.setEffectColor(Vec4(0.29999999999999999, 1, 1, 0.34999999999999998))
healDisc.reparentTo(av)
healDisc.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
healAura = VoodooAuraHeal.getEffect(unlimited)
if healAura:
healAura.setEffectColor(Vec4(0.29999999999999999, 1, 1, 0.5))
healAura.reparentTo(av)
healAura.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('voodoo_swarm', playRate = 1.0, startFrame = 0, endFrame = 12, blendInT = 0.29999999999999999, blendOutT = 0.0), Func(startVFX2), av.actorInterval('voodoo_swarm', playRate = 1.0, startFrame = 12, endFrame = 64, blendInT = 0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getCurse(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return ival
def getLifeDrain(self, av, skillId, ammoSkillId, charge, target, skillResult):
def startVFX():
unlimited = av.isLocal()
effect = SpectralSmoke.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(av, 0, 0, av.getHeight() / 2.0)
effect.setScale(1, 1, av.getHeight() / 2.0)
effect.play(duration = 2.0, delay = 1.5)
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = HealSparks.getEffect(unlimited)
if effect:
effect.reparentTo(av)
effect.setPos(av, 0, 0, av.getHeight() / 1.5)
effect.setScale(1, 1, av.getHeight() / 2.0)
effect.setEffectColor(Vec4(0.20000000000000001, 0.20000000000000001, 1.0, 1))
effect.play(delay = 1.5)
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = HomingMissile.getEffect(unlimited)
if effect and target:
effect.reparentTo(render)
effect.setPos(target, 0, 0, target.getHeight() - 1.5)
effect.target = av
effect.initialVelocity = Vec3(0, 0, 1.5)
effect.targetOffset = Vec3(0, 0, 3.0)
effect.duration = 1.75
effect.wantTrail = 0
effect.particleEffect = SpectralTrail.getEffect()
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = HomingMissile.getEffect(unlimited)
if effect and target:
effect.reparentTo(render)
effect.setPos(target, 0, 0, target.getHeight() - 1.5)
effect.target = av
randomness = random.random() * 1.25
effect.initialVelocity = Vec3(-1.0 - randomness, 0, 1.5)
effect.targetOffset = Vec3(0, 0, 3.0)
effect.duration = 1.5 + randomness
effect.wantTrail = 0
effect.particleEffect = SpectralTrail.getEffect()
effect.play()
effect = HomingMissile.getEffect(unlimited)
if effect and target:
effect.reparentTo(render)
effect.setPos(target, 0, 0, target.getHeight() - 1.5)
effect.target = av
randomness = random.random() * 1.25
effect.initialVelocity = Vec3(1.0 + randomness, 0, 1.5)
effect.targetOffset = Vec3(0, 0, 3.0)
effect.duration = 1.5 + randomness
effect.wantTrail = 0
effect.particleEffect = SpectralTrail.getEffect()
effect.play()
ival = Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.playCastingAnim, av), Parallel(av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Sequence(Wait(0.5), Func(startVFX))), Func(self.unlockInput, av))
del startVFX
return ival
def startChargeSound(self, av, skillId):
if not av.currentWeapon:
return None
skillInfo = WeaponGlobals.getSkillAnimInfo(skillId)
getChargeSfxFunc = skillInfo[WeaponGlobals.HIT_SFX_INDEX]
getChargeLoopSfxFunc = skillInfo[WeaponGlobals.MISS_SFX_INDEX]
av.currentWeapon.chargeSound = getChargeSfxFunc()
av.currentWeapon.chargeLoopSound = getChargeLoopSfxFunc()
av.currentWeapon.chargeSoundSequence = Sequence(SoundInterval(av.currentWeapon.chargeSound, loop = 0, node = av.currentWeapon, cutOff = 60), SoundInterval(av.currentWeapon.chargeLoopSound, loop = 1, duration = 1000, node = av.currentWeapon, cutOff = 60))
av.currentWeapon.chargeSoundSequence.start()
if hasattr(av.currentWeapon, 'startChargeEffect'):
av.currentWeapon.startChargeEffect()
def stopChargeSound(self, av):
if not av.currentWeapon:
return None
if av.currentWeapon.chargeSoundSequence:
av.currentWeapon.chargeSoundSequence.finish()
av.currentWeapon.chargeSoundSequence = None
if av.currentWeapon.chargeSound:
av.currentWeapon.chargeSound.stop()
av.currentWeapon.chargeSound = None
if av.currentWeapon.chargeLoopSound:
av.currentWeapon.chargeLoopSound.stop()
av.currentWeapon.chargeLoopSound = None
if hasattr(av.currentWeapon, 'stopChargeEffect'):
av.currentWeapon.stopChargeEffect()
def playCastSound(self, av, skillId):
skillInfo = WeaponGlobals.getSkillAnimInfo(skillId)
getCastSfxFunc = skillInfo[WeaponGlobals.HIT_SFX_INDEX]
soundFX = getCastSfxFunc()
if soundFX:
base.playSfx(soundFX, node = av, cutoff = 60)
def getChargeWitherAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effect = WitherCharge.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.reparentTo(av.currentWeapon)
av.currentWeapon.effect.setPos(av.currentWeapon, -0.10000000000000001, 1.5, 0)
av.currentWeapon.effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId))
av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
av.currentWeapon.effect.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastWitherAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
effect = SoulHarvest.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = DomeExplosion.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 2.0
effect.play()
effect = DarkPortal.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 4.0
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = EvilRingEffect.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.effectScale = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.duration = 2.5
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getChargeSoulflayAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effect = SoulSpiral.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.reparentTo(av.currentWeapon)
av.currentWeapon.effect.setPos(av.currentWeapon, -0.10000000000000001, 1.5, 0)
av.currentWeapon.effect.setHpr(av.currentWeapon, 0.0, -90.0, 0.0)
av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
av.currentWeapon.effect.setScale(0.90000000000000002, 0.90000000000000002, 0.90000000000000002)
av.currentWeapon.effect.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastSoulFlayAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
effect = SoulFlay.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0.0, 4.0, 3.0)
effect.setHpr(av, 0.0, -90.0, 0.0)
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
dummy = NodePath('effect')
dummy.reparentTo(av.getParent())
dummy.setPos(av, 0.0, 4.0, 4.0)
dummy.setHpr(av, 0.0, 0.0, 0.0)
effect = VoodooSouls.getEffect(unlimited)
if effect:
effect.reparentTo(dummy)
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
posIval = LerpPosInterval(effect, 1.0, Vec3(0.0, 50.0, 0.0), startPos = Vec3(0.0, 0.0, 0.0))
posIval.start()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
effect = VoodooGlow.getEffect(unlimited)
if effect and not av.currentWeapon.isEmpty():
effect.reparentTo(av.currentWeapon)
effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId))
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getChargePestilenceAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {
'spin': 'models/effects/mopath_spiral' })
joint = av.currentWeapon.effectActor.find('**/joint1')
av.currentWeapon.effectActor.setScale(1.0, 0.75, 1.0)
av.currentWeapon.effectActor.setHpr(av.currentWeapon.getHpr())
av.currentWeapon.effectActor.reparentTo(av.currentWeapon)
av.currentWeapon.effectActor.setPos(av.currentWeapon, 0.0, 1.8, 0.0)
av.currentWeapon.effectActor.setPlayRate(1.2, 'spin')
av.currentWeapon.effectActor.loop('spin')
av.currentWeapon.effect = VoodooPestilence.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.particleDummy.reparentTo(av.currentWeapon)
av.currentWeapon.effect.reparentTo(joint)
av.currentWeapon.effect.effectScale = 1.0
av.currentWeapon.effect.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastPestilenceAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
effect = Pestilence.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 4.0, 3.0)
effect.setHpr(av, 0, -90, 0)
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
if not av.currentWeapon.effectActor:
av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {
'spin': 'models/effects/mopath_spiral' })
joint = av.currentWeapon.effectActor.find('**/joint1')
av.currentWeapon.effectActor.reparentTo(av.getParent())
av.currentWeapon.effectActor.setPos(av, 0.0, 13.0, 4.0)
av.currentWeapon.effectActor.setHpr(av.getHpr())
av.currentWeapon.effectActor.setPlayRate(1.8, 'spin')
av.currentWeapon.effectActor.play('spin')
scaleIval = LerpScaleInterval(av.currentWeapon.effectActor, 0.25, Vec3(10.0, 25.0, 10.0), startScale = Vec3(2.0, 15.0, 2.0))
scaleIval.start()
effect = VoodooPestilence.getEffect(unlimited)
if effect:
effect.particleDummy.reparentTo(av.getParent())
effect.reparentTo(joint)
effect.effectScale = 4.0
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getChargeHellfireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
offset = av.currentWeapon.getOffset(av.currentWeapon.itemId) + Vec3(0, 0.20000000000000001, 0)
av.currentWeapon.effect = FlamingSkull.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.reparentTo(av.currentWeapon)
av.currentWeapon.effect.setPos(av.currentWeapon, offset + Vec3(0.20000000000000001, 1, 0.29999999999999999))
av.currentWeapon.effect.setHpr(av.currentWeapon, 0, -90, 40)
av.currentWeapon.effect.startLoop()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effect2 = VoodooStaffFire.getEffect(unlimited)
if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty():
av.currentWeapon.effect2.reparentTo(av.currentWeapon)
av.currentWeapon.effect2.setPos(av.currentWeapon, offset)
av.currentWeapon.effect2.setHpr(av.currentWeapon, 0, -90, 0)
av.currentWeapon.effect2.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
av.currentWeapon.effect2.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastHellfireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
if isinstance(av.currentWeapon.effect, FlamingSkull):
av.currentWeapon.effect.wrtReparentTo(render)
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, None)
av.currentWeapon.effect.playLaunch(speed, targetPos)
if av.currentWeapon.effect2:
av.currentWeapon.effect2.stopLoop()
av.currentWeapon.effect2 = None
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getChargeBanishAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
offset = av.currentWeapon.getOffset(av.currentWeapon.itemId)
av.currentWeapon.effect = VoodooPower.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.reparentTo(av.currentWeapon)
av.currentWeapon.effect.setPos(av.currentWeapon, offset + Vec3(0, 1.45, -0.10000000000000001))
av.currentWeapon.effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
av.currentWeapon.effect.startLoop()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effect2 = EnergySpiral.getEffect(unlimited)
if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty():
av.currentWeapon.effect2.reparentTo(av.currentWeapon)
av.currentWeapon.effect2.setPos(av.currentWeapon, offset + Vec3(0, 0, -0.10000000000000001))
av.currentWeapon.effect2.setHpr(av.currentWeapon, 0.0, -90.0, 0.0)
av.currentWeapon.effect2.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
av.currentWeapon.effect2.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastBanishAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
if av.currentWeapon.effect2:
av.currentWeapon.effect2.stopLoop()
av.currentWeapon.effect2 = None
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooGlow.getEffect(unlimited)
if effect and not av.currentWeapon.isEmpty():
effect.reparentTo(av.currentWeapon)
effect.setPos(av.currentWeapon, av.currentWeapon.getOffset(av.currentWeapon.itemId))
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getChargeDesolationAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
av.currentWeapon.effectActor = Actor.Actor('models/effects/mopath_none', {
'spin': 'models/effects/mopath_spiral' })
joint = av.currentWeapon.effectActor.find('**/joint1')
av.currentWeapon.effectActor.setScale(1.0, 0.75, 1.0)
av.currentWeapon.effectActor.setP(0.0)
av.currentWeapon.effectActor.reparentTo(av.currentWeapon)
av.currentWeapon.effectActor.setPos(av.currentWeapon, 0.0, 1.7, 0.0)
av.currentWeapon.effectActor.setPlayRate(1.5, 'spin')
av.currentWeapon.effectActor.loop('spin')
av.currentWeapon.effect = DesolationChargeSmoke.getEffect(unlimited)
if av.currentWeapon.effect and not av.currentWeapon.isEmpty():
av.currentWeapon.effect.particleDummy.reparentTo(av.currentWeapon)
av.currentWeapon.effect.reparentTo(joint)
av.currentWeapon.effect.effectScale = 1.0
av.currentWeapon.effect.startLoop()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
av.currentWeapon.effect2 = WindCharge.getEffect(unlimited)
if av.currentWeapon.effect2 and not av.currentWeapon.isEmpty():
av.currentWeapon.effect2.reparentTo(av.currentWeapon)
av.currentWeapon.effect2.setPos(av.currentWeapon, 0.0, 1.25, 0.0)
av.currentWeapon.effect2.setHpr(0, -90, 0)
av.currentWeapon.effect2.startLoop()
seq = Sequence(Func(av.motionFSM.moveLock), Func(av.currentWeapon.hideMouse, av), Func(base.cr.targetMgr.setWantAimAssist, 1), Func(self.startChargeSound, av, skillId), Func(startVFX), av.actorInterval('wand_cast_start', blendOutT = 0), Func(av.loop, 'wand_cast_idle', blendT = 0))
del startVFX
return seq
def getCastDesolationAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
if av.currentWeapon.effect2:
av.currentWeapon.effect2.stopLoop()
av.currentWeapon.effect2 = None
effect = WindWave.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setEffectColor(Vec4(1, 1, 1, 0.75))
effect.setPos(av, 0.0, 0.0, 0.0)
effect.setScale(1.0, 1.0, 1.0)
effect.setHpr(0.0, 0.0, 0.0)
effect.play()
effect = SoulHarvest2.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 2)
effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = DesolationSmoke.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setEffectColor(Vec4(1, 1, 1, 1))
effect.setPos(av, 0.0, 0.0, 0.0)
effect.play()
effect = DomeExplosion.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.play()
effect = DarkPortal.getEffect(unlimited)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 3.0
effect.play()
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsHigh:
cameraShakerEffect = CameraShaker()
cameraShakerEffect.wrtReparentTo(av.getParent())
cameraShakerEffect.setPos(av, 0.0, 0.0, 0.0)
cameraShakerEffect.shakeSpeed = 0.074999999999999997
cameraShakerEffect.shakePower = 1.0
cameraShakerEffect.numShakes = 30
cameraShakerEffect.scalePower = 1
cameraShakerEffect.play(100.0)
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.stopChargeSound, av), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getFizzleAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
if av.currentWeapon.effect2:
av.currentWeapon.effect2.stopLoop()
av.currentWeapon.effect2 = None
return Sequence(Func(av.considerEnableMovement), Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(self.stopChargeSound, av), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
def getCastFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
unlimited = av.isLocal()
self.cleanWeaponEffects(av)
motion_color = [
Vec4(1.0, 1.0, 1.0, 1.0),
Vec4(0.5, 0.20000000000000001, 1.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
effect = VoodooProjectile.getEffect(unlimited)
if effect:
effect.reparentTo(render)
effect.setPos(av, 0, 2, 2)
effect.setH(av.getH(render))
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play(targetPos, speed, target)
if base.options.getSpecialEffectsSetting() >= base.options.SpecialEffectsMedium:
effect = VoodooGlow.getEffect()
if effect and not av.currentWeapon.isEmpty():
effect.reparentTo(av.currentWeapon)
effect.setPos(av.currentWeapon, 0.0, 2.0, 0.0)
effect.setEffectColor(av.currentWeapon.getEffectColor(av.currentWeapon.itemId))
effect.play()
seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(av.attackTire), Func(startVFX), Func(self.playCastSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getToggleAuraOnAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
if not hasattr(av.currentWeapon, 'getStartWardingAura'):
return None
if skillId == EnemySkills.STAFF_TOGGLE_AURA_WARDING:
av.currentWeapon.getStartWardingAura(av).start()
elif skillId == EnemySkills.STAFF_TOGGLE_AURA_NATURE:
av.currentWeapon.getStartNatureAura(av).start()
elif skillId == EnemySkills.STAFF_TOGGLE_AURA_DARK:
av.currentWeapon.getStartDarkAura(av).start()
seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(startVFX), Func(self.startChargeSound, av, skillId), av.actorInterval('wand_cast_fire'), Func(self.unlockInput, av))
del startVFX
return seq
def getToggleAuraOffAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
seq = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.stopChargeSound, av), Func(self.lockInput, av), Func(self.unlockInput, av))
return seq
def cleanWeaponEffects(self, av):
if av.currentWeapon:
if av.currentWeapon.effect:
av.currentWeapon.effect.stopLoop()
av.currentWeapon.effect = None
if av.currentWeapon.effect2:
av.currentWeapon.effect2.stopLoop()
av.currentWeapon.effect2 = None
def getDrink(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.consumable:
return None
def hideCurrentWeapon():
if av.currentWeapon:
if not av.currentWeapon.isEmpty():
av.currentWeapon.hide()
def showCurrentWeapon():
if av.currentWeapon:
if not av.currentWeapon.isEmpty():
av.currentWeapon.show()
return Sequence(Func(self.lockInput, av), Func(av.attackTire), Func(self.lockDrink, av), Func(hideCurrentWeapon), Func(av.consumable.updateItemId, ammoSkillId), Func(av.consumable.attachTo, av), av.actorInterval('drink_potion', playRate = 1.5, startFrame = 8, endFrame = 45, blendInT = 0.20000000000000001, blendOutT = 0.20000000000000001), Func(showCurrentWeapon), Func(av.consumable.detachFrom, av), Func(self.unlockInput, av), Wait(0.59999999999999998), Func(self.unlockDrink, av))
def getChop(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_cleave', playRate = 1.0, startFrame = 9, endFrame = 45, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDoubleSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_slash', playRate = 1.5, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getLunge(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('sword_lunge', playRate = 1.5, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getStab(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval('sword_thrust', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getRollThrust(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
placeHolder = av.attachNewNode('rollThrustPlaceHolder')
if target:
placeHolder.lookAt(target)
newH = av.getH() + placeHolder.getH()
self.rollDistance = av.getDistance(target)
else:
newH = av.getH()
self.rollDistance = WeaponGlobals.getAttackRange(skillId, ammoSkillId)
self.rollDistance = max(0.0, self.rollDistance - 0.5)
self.currAmount = 0
def setRollPosition(v):
distance = self.rollDistance * v - self.currAmount
self.currAmount += distance
rotMat = Mat3.rotateMatNormaxis(av.getH(), Vec3.up())
contact = av.physControls.lifter.getContactNormal()
forward = contact.cross(Vec3.right())
forward.normalize()
vel = Vec3(forward * distance)
vel = Vec3(rotMat.xform(vel))
av.setFluidPos(Point3(av.getPos() + vel))
if av.isLocal():
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), Func(av.controlManager.currentControls.setCollisionsActive, 1), Parallel(av.actorInterval('sword_roll_thrust', playRate = 1.5, startFrame = 1, blendInT = 0, blendOutT = 0), LerpHprInterval(av, 0.050000000000000003, Vec3(newH, av.getP(), av.getR())), Sequence(Wait(0.29999999999999999), LerpFunctionInterval(setRollPosition, duration = 0.59999999999999998, fromData = 0.0, toData = 1.0, name = 'setRollPosition')), Sequence(Wait(0.59999999999999998), Func(av.controlManager.currentControls.setCollisionsActive, 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))))
else:
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), Parallel(av.actorInterval('sword_roll_thrust', playRate = 1.5, startFrame = 1, blendInT = 0, blendOutT = 0), Sequence(Wait(0.59999999999999998), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))))
placeHolder.removeNode()
return ival
def getComboA(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('sword_comboA', playRate = 1.5, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getWildSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.5), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 54, endFrame = 87, blendInT = 0.5, blendOutT = 0.5)), Sequence(Wait(0.95799999999999996), Func(self.unlockInput, av)))
return ival
def getFlurry(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.59999999999999998), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 88, endFrame = 142, blendInT = 0.5, blendOutT = 0.5)), Sequence(Wait(1.5), Func(self.unlockInput, av)))
return ival
def getRiposte(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.endAttack, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_combo', playRate = 1.0, startFrame = 1, endFrame = 28, blendInT = 0.20000000000000001, blendOutT = 0.5)), Sequence(Wait(0.75), Func(self.unlockInput, av)))
return ival
def getCoup(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_coup', playRate = 1.25, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getBackstab(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dagger_backstab', playRate = 1.5, blendInT = 0, blendOutT = 0), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDualCutlassCombination(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate = 1.2, startFrame = 0, endFrame = 75, blendInT = 0.5, blendOutT = 0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDualCutlassSpin(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate = 1, startFrame = 70, endFrame = 101, blendInT = 0.25, blendOutT = 0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDualCutlassBarrage(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.22), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboB', playRate = 0.57499999999999996, startFrame = 101, endFrame = 131, blendInT = 0.25, blendOutT = 0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDualCutlassXSlash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboA', playRate = 1, startFrame = 50, endFrame = 100, blendInT = 0.25, blendOutT = 0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getDualCutlassGore(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('dualcutlass_comboA', playRate = 1, startFrame = 100, endFrame = 120, blendInT = 0.25, blendOutT = 0.25), av.actorInterval('dualcutlass_comboB', playRate = 1, startFrame = 140, endFrame = 200, blendInT = 0.25, blendOutT = 0.25), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilFleche(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_thrust', playRate = 1, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilReprise(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_hack', playRate = 1, startFrame = 45, endFrame = 89, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilSwipe(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_coup', playRate = 1, startFrame = 75, endFrame = 97, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilImpale(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_thrust', playRate = 1, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilRemise(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_slash', playRate = 1, startFrame = 10, endFrame = 82, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilBalestraKick(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_kick', playRate = 1, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getFoilCadence(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(av.currentWeapon.hideMouse, av), Func(av.currentWeapon.setTrailLength, 0.40000000000000002), Func(av.currentWeapon.beginAttack, av), av.actorInterval('foil_coup', playRate = 1, startFrame = 75, endFrame = 172, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def getKrazyPunch(self, av, skillId, ammoSkillId, charge, target, skillResult):
return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_kick', playRate = 2), av.actorInterval('boxing_punch', playRate = 2), av.actorInterval('boxing_kick', playRate = 2), Func(self.unlockInput, av))
def getBoxingPunch(self, av, skillId, ammoSkillId, charge, target, skillResult):
return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_punch', playRate = 1.0, blendInT = 0.10000000000000001, blendOutT = 0.20000000000000001), Func(self.unlockInput, av))
def getKick(self, av, skillId, ammoSkillId, charge, target, skillResult):
return Sequence(Func(self.lockInput, av), av.actorInterval('boxing_kick', playRate = 1.0), Func(self.unlockInput, av))
def getBayonetFireAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
def startVFX():
unlimited = av.isLocal()
pistolFlame = MusketShot.getEffect(unlimited)
if pistolFlame:
pistolFlame.reparentTo(av.currentWeapon)
pistolFlame.setPos(2.7999999999999998, 0.10000000000000001, 0)
pistolFlame.setHpr(0, 0, 90)
pistolFlame.setScale(1)
pistolFlame.play()
anim = ItemGlobals.getFireAnim(ItemGlobals.getSubtype(av.currentWeaponId))
ival = Sequence(Func(base.cr.targetMgr.setWantAimAssist, 0), Func(self.lockInput, av), Func(startVFX), Func(av.currentWeapon.playSkillSfx, skillId, av), av.actorInterval(anim, startFrame = 9, endFrame = 14, blendInT = 0.0, blendOutT = 0), Func(self.unlockInput, av), av.actorInterval(anim, startFrame = 15, blendInT = 0, blendOutT = 0.29999999999999999))
return ival
def getBayonetReloadAnim(self, av, skillId, ammoSkillId, charge, target):
if not av.currentWeapon:
return None
reloadSfx = av.currentWeapon.reloadSfxs
reloadFx = random.choice(reloadSfx)
gunCockSfx = av.currentWeapon.gunCockSfxs
gunCockFx = random.choice(gunCockSfx)
track = Sequence(Func(self.lockInput, av), av.actorInterval('gun_reload', endFrame = 6, blendInT = 0, blendOutT = 0), Func(base.playSfx, gunCockFx, node = av), av.actorInterval('gun_reload', startFrame = 7, endFrame = 18, blendInT = 0, blendOutT = 0), Func(base.playSfx, reloadFx, node = av), av.actorInterval('gun_reload', startFrame = 19, blendInT = 0, blendOutT = 0.29999999999999999), Func(self.unlockInput, av))
return track
def getBayonetStab(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackA', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av))
return ival
def getBayonetBash(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackB', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av))
return ival
def getBayonetRush(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackC', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av))
return ival
def getPlayerBayonetStab(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackA', playRate = 1.0, startFrame = 6, endFrame = 35, blendInT = 0, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av)), Sequence(Wait(0.75), Func(self.unlockInput, av)))
return ival
def getPlayerBayonetRush(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(self.lockInput, av), Func(av.currentWeapon.setTrailLength, 0.25), Func(av.currentWeapon.beginAttack, av), av.actorInterval('bayonet_attackC', playRate = 1.0, blendInT = 0.5, blendOutT = 0.5), Func(av.currentWeapon.endAttack, av), Func(self.unlockInput, av))
return ival
def getCrabAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_left', playRate = 1.0)
def getCrabAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_right', playRate = 1.0)
def getCrabAttackBoth(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_both', playRate = 1.0)
def getStumpKick(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.0), av.actorInterval('kick', playRate = 1.0))
return ival
def getStumpKickRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.0), av.actorInterval('kick_right', playRate = 1.0))
return ival
def getStumpSlapLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('slap_left', playRate = 1.0))
return ival
def getStumpSlapRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('slap_right', playRate = 1.0))
return ival
def getStumpSwatLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('swat_left', playRate = 1.0))
return ival
def getStumpSwatRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
ival = Sequence(Func(av.currentWeapon.setTrailLength, 0.5), av.actorInterval('swat_right', playRate = 1.0))
return ival
def getStumpStomp(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
shockwaveRingEffect = ShockwaveRing.getEffect()
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 3)
shockwaveRingEffect.play()
shockwaveRingEffect = ShockwaveRing.getEffect()
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 80
shockwaveRingEffect.setPos(0, 0, 3)
shockwaveRingEffect.play()
shockwaveRingEffect = ShockwaveRing.getEffect()
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 120
shockwaveRingEffect.setPos(0, 0, 3)
shockwaveRingEffect.play()
dustRingEffect = DustRing.getEffect()
if dustRingEffect:
dustRingEffect.reparentTo(av)
dustRingEffect.setPos(0, 0, 0)
dustRingEffect.play()
cameraShakerEffect = CameraShaker()
cameraShakerEffect.reparentTo(av)
cameraShakerEffect.setPos(0, 0, 0)
cameraShakerEffect.shakeSpeed = 0.059999999999999998
cameraShakerEffect.shakePower = 4.0
cameraShakerEffect.numShakes = 2
cameraShakerEffect.scalePower = 1
cameraShakerEffect.play(50.0)
ival = Parallel(Sequence(Wait(1.3300000000000001), Func(startVFX)), Sequence(Func(av.currentWeapon.beginAttack, av), av.actorInterval('jump_attack', playRate = 1.0), Func(av.currentWeapon.endAttack, av)))
return ival
def getFlyTrapAttackA(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_a', playRate = 1.0)
def getFlyTrapAttackJab(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_jab', playRate = 1.0)
def getFlyTrapLeftFake(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_left_fake', playRate = 1.0)
def getFlyTrapRightFake(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_right_fake', playRate = 1.0)
def getFlyTrapSpit(self, av, skillId, ammoSkillId, charge, target, skillResult):
def startVFX():
motion_color = [
Vec4(1.0, 0.0, 0.5, 1.0),
Vec4(1.0, 0.0, 0.0, 1.0)]
(targetPos, speed, impactT) = av.getProjectileInfo(skillId, target)
effect = VenomSpitProjectile.getEffect()
if effect:
effect.reparentTo(render)
effect.setPos(av, 0, 0, av.height * 0.69999999999999996)
effect.setH(av.getH(render))
effect.play(targetPos, speed, target)
ival = Sequence(av.actorInterval('shoot', endFrame = 23), Func(startVFX), av.actorInterval('shoot', startFrame = 24))
return ival
def getTentacleSlap(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Parallel(Func(av.alignWithVictim, 0.40000000000000002), Sequence(ActorInterval(av, 'pound_deck', playRate = 2.0), Func(av.loop, 'idle', playRate = random.uniform(1.0, 1.2))), Sequence(Wait(0.59999999999999998), Func(self.playShockwave, av)))
return anim
def getTentaclePound(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Parallel(Func(av.alignWithVictim, 0.40000000000000002), Sequence(ActorInterval(av, 'pound_deck', playRate = 2.0), Func(av.loop, 'idle', blendT = 0, playRate = random.uniform(1.0, 1.2))))
return anim
def getTentacleEnsnare(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Sequence(Parallel(ActorInterval(av, 'grab', playRate = 1.0), Func(av.alignWithVictim, 0.66000000000000003), Sequence(Wait(0.66000000000000003), Func(av.setupEnsnare), Wait(1.29), Func(av.pickupTarget))), Func(av.loop, 'grab_idle', playRate = random.uniform(1.0, 1.2)))
return anim
def getTentaclePiledriver(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Sequence(Parallel(ActorInterval(av, 'grab_slam', playRate = 1.0), Sequence(Wait(2.9300000000000002), Func(av.piledriveTarget))), Func(av.loop, 'idle', playRate = random.uniform(1.0, 1.2)))
return anim
def getTentacleRelease(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Sequence(Parallel(ActorInterval(av, 'grab_slam', playRate = 1.0), Sequence(Wait(2.9300000000000002), Func(av.piledriveTarget))), Func(av.loop, 'idle', playRate = random.uniform(1.0, 1.2)))
return anim
def getTentacleConstrict(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Sequence(ActorInterval(av, 'grab_constrict', playRate = 1.0), Func(av.loop, 'grab_idle', playRate = random.uniform(1.0, 1.2)))
return anim
def getKrakenVomit(self, av, skillId, ammoSkillId, charge, target, skillResult):
anim = Sequence(ActorInterval(av, 'shoot', playRate = 1.0), Func(av.loop, 'idle', playRate = random.uniform(1.0, 1.2)))
return anim
def getScorpionAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_left', playRate = 1.0)
def getScorpionAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_right', playRate = 1.0)
def getScorpionAttackBoth(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_both', playRate = 1.0)
def getScorpionAttackTailSting(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_tail_sting', playRate = 1.0)
def getScorpionPickUpHuman(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('pick_up_human', playRate = 1.0)
def getScorpionRearUp(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('rear_up', playRate = 1.0)
def getAlligatorAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_left', playRate = 1.0)
def getAlligatorAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_right', playRate = 1.0)
def getAlligatorAttackStraight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_straight', playRate = 1.0)
def getAlligatorAttackTailLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_tail_left', playRate = 1.0)
def getAlligatorAttackTailRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_tail_right', playRate = 1.0)
def getBatAttackLeft(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_forward', playRate = 1.0)
def getBatAttackRight(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('attack_right', playRate = 1.0)
def getBatShriek(self, av, skillId, ammoSkillId, charge, target, skillResult):
def playFX():
shockwaveRingEffect = ShockwaveRing.getEffect()
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(av)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(0, 0, 0)
shockwaveRingEffect.play()
ival = Sequence(Func(playFX), av.actorInterval('attack_forward', playRate = 2.0))
return ival
def getBatFlurry(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(av.actorInterval('attack_right', playRate = 2.0), av.actorInterval('attack_forward', playRate = 2.0), av.actorInterval('attack_right', playRate = 2.0), av.actorInterval('attack_forward', playRate = 2.0))
return ival
def getWaspAttack(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('sting', playRate = 1.0)
def getWaspAttackLeap(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('leap_sting', playRate = 1.0)
def getWaspAttackSting(self, av, skillId, ammoSkillId, charge, target, skillResult):
return av.actorInterval('sting', playRate = 1.0)
def playShockwave(self, av):
pos = av.getPos(render)
smokeCloudEffect = SmokeCloud.getEffect()
if smokeCloudEffect:
smokeCloudEffect.reparentTo(render)
smokeCloudEffect.setPos(pos)
smokeCloudEffect.setScale(1.0)
smokeCloudEffect.spriteScale = 1.0
smokeCloudEffect.radius = 7.0
smokeCloudEffect.play()
shockwaveRingEffect = ShockwaveRing.getEffect()
if shockwaveRingEffect:
shockwaveRingEffect.reparentTo(render)
shockwaveRingEffect.size = 40
shockwaveRingEffect.setPos(pos)
shockwaveRingEffect.play()
cameraShakerEffect = CameraShaker()
cameraShakerEffect.reparentTo(render)
cameraShakerEffect.setPos(pos)
cameraShakerEffect.shakeSpeed = 0.040000000000000001
cameraShakerEffect.shakePower = 6.0
cameraShakerEffect.numShakes = 2
cameraShakerEffect.scalePower = 1
cameraShakerEffect.play(80.0)
def getCastDarkThunderAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), av.actorInterval('shoot_up', playRate = 1.5, startFrame = 6), Func(self.unlockInput, av))
return seq
def getGraveBlindAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = JRGraveSmoke.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setEffectColor(Vec4(0.40000000000000002, 0.59999999999999998, 0.10000000000000001, 1))
effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.setPos(av, 0.0, 0.0, 0.0)
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate = 1.75, startFrame = 16), Func(self.unlockInput, av))
del startVFX
return seq
def getCorruptionAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = JRSoulHarvest.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.setEffectColor(Vec4(0.80000000000000004, 1.0, 0.20000000000000001, 1.0))
effect.play()
effect = DomeExplosion.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 2.0
effect.play()
effect = DarkPortal.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 4.0
effect.play()
effect = EvilRingEffect.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 5, 0)
effect.effectScale = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.changeEffectColor(Vec4(0.80000000000000004, 1.0, 0.10000000000000001, 1.0))
effect.duration = 2.5
effect.play()
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate = 1.75, startFrame = 16), Func(self.unlockInput, av))
del startVFX
return seq
def getSoulHarvestAnim(self, av, skillId, ammoSkillId, charge, target, skillResult):
if not av.currentWeapon:
return None
def startVFX():
effect = WindWave.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setEffectColor(Vec4(0.80000000000000004, 1, 0.20000000000000001, 0.69999999999999996))
effect.setPos(av, 0.0, 0.0, 0.0)
effect.setScale(1.0, 1.0, 1.0)
effect.setHpr(0.0, 0.0, 0.0)
effect.play()
effect = JRSoulHarvest2.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 2)
effect.radius = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.play()
effect = DesolationSmoke.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setEffectColor(Vec4(0.80000000000000004, 1, 0.20000000000000001, 1))
effect.setPos(av, 0.0, 0.0, 0.0)
effect.play()
effect = DomeExplosion.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId)
effect.play()
effect = DarkPortal.getEffect(unlimited = True)
if effect:
effect.reparentTo(av.getParent())
effect.setPos(av, 0, 0, 0)
effect.size = av.cr.battleMgr.getModifiedAttackAreaRadius(av, skillId, ammoSkillId) * 3.0
effect.play()
cameraShakerEffect = CameraShaker()
cameraShakerEffect.wrtReparentTo(av.getParent())
cameraShakerEffect.setPos(av, 0.0, 0.0, 0.0)
cameraShakerEffect.shakeSpeed = 0.074999999999999997
cameraShakerEffect.shakePower = 1.0
cameraShakerEffect.numShakes = 30
cameraShakerEffect.scalePower = 1
cameraShakerEffect.play(100.0)
seq = Sequence(Func(av.considerEnableMovement), Func(self.lockInput, av), Func(self.playCastSound, av, skillId), Func(startVFX), av.actorInterval('roar_idle', playRate = 1.75, startFrame = 16), Func(self.unlockInput, av))
del startVFX
return seq
def getBroadsideLeft(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getLeftBroadsidePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getLeftBroadsidePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getBroadsideRight(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getRightBroadsidePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getRightBroadsidePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getFullSail(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
def playSfx():
if not av.ship:
return None
sfx = av.ship.fullsailSfx
base.playSfx(sfx, node = av.ship, cutoff = 1500)
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getFullSailPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getFullSailPhrase())), Func(playSfx), Sequence(Wait(1.0), Func(self.unlockInput, av)))
del playSfx
return ival
def getComeAbout(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getComeAboutPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getComeAboutPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getRammingSpeed(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
def playSfx():
if not av.ship:
return None
sfx = av.ship.fullsailSfx
base.playSfx(sfx, node = av.ship, cutoff = 1500)
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.RammingSpeed, CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.RammingSpeed)), Func(playSfx), Sequence(Wait(1.0), Func(self.unlockInput, av)))
del playSfx
return ival
def getOpenFire(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getOpenFirePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getOpenFirePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getTakeCover(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getTakeCoverPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getTakeCoverPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getPowerRecharge(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getPowerRechargePhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getPowerRechargePhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getWreckHull(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getWreckHullPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getWreckHullPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getWreckMasts(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getWreckMastsPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getWreckMastsPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getSinkHer(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getSinkHerPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getSinkHerPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getIncoming(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getIncomingPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getIncomingPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getFixItNow(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Parallel(Sequence(Func(self.lockInput, av), Func(av.setChatAbsolute, PLocalizer.getFixItNowPhrase(), CFSpeech | CFTimeout), Func(base.talkAssistant.receiveOpenTalk, av.doId, av.getName(), None, None, PLocalizer.getFixItNowPhrase())), Sequence(Wait(1.0), Func(self.unlockInput, av)))
return ival
def getShipRepair(self, av, skillId, ammoSkillId, charge = 0, target = None, skillResult = None):
return self.getComeAbout(av, skillId, ammoSkillId, charge)
def getSummonHelp(self, av, skillId, ammoSkillId, charge, target, skillResult):
ival = Sequence(Func(self.lockInput, av), Func(av.motionFSM.off), Func(self.playCastingAnim, av), av.actorInterval('voodoo_swarm', playRate = 1.0, blendInT = 0.29999999999999999, blendOutT = 0.29999999999999999), Func(av.considerEnableMovement), Func(self.unlockInput, av))
return ival
def lockInput(self, av):
if av.isLocal():
messenger.send('skillStarted')
def unlockInput(self, av):
if av.isLocal():
messenger.send('skillFinished')
def lockDrink(self, av):
if av.isLocal():
messenger.send('drinkingStarted')
def unlockDrink(self, av):
if av.isLocal():
messenger.send('drinkingFinished')
| 55.465879
| 885
| 0.643198
| 17,344
| 169,060
| 6.250519
| 0.052468
| 0.100176
| 0.06029
| 0.04365
| 0.826786
| 0.804564
| 0.791853
| 0.770194
| 0.757077
| 0.737762
| 0
| 0.059576
| 0.249397
| 169,060
| 3,047
| 886
| 55.484083
| 0.794731
| 0.000118
| 0
| 0.627655
| 0
| 0.000452
| 0.020806
| 0.00168
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111613
| false
| 0
| 0.037054
| 0.012201
| 0.282422
| 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
|
14c79cabdeb858b15821a249641c3a6c05ebdcfb
| 237
|
py
|
Python
|
ylearn/sklearn_ex/__init__.py
|
DataCanvasIO/YLearn
|
d65b5afb83deed154c710de9096317165d95014a
|
[
"Apache-2.0"
] | 3
|
2022-03-28T07:41:28.000Z
|
2022-03-29T06:24:52.000Z
|
ylearn/sklearn_ex/__init__.py
|
DataCanvasIO/YLearn
|
d65b5afb83deed154c710de9096317165d95014a
|
[
"Apache-2.0"
] | null | null | null |
ylearn/sklearn_ex/__init__.py
|
DataCanvasIO/YLearn
|
d65b5afb83deed154c710de9096317165d95014a
|
[
"Apache-2.0"
] | null | null | null |
from ._data_cleaner import DataCleaner
from ._dataframe_mapper import DataFrameMapper
from ._transformer import SafeOrdinalEncoder, FeatureImportancesSelectionTransformer
from ._transformer import general_preprocessor, general_estimator
| 47.4
| 84
| 0.898734
| 22
| 237
| 9.318182
| 0.636364
| 0.146341
| 0.204878
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075949
| 237
| 4
| 85
| 59.25
| 0.936073
| 0
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| 0
| 0
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| 0
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| 0
| 0
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| 0
| 1
| 0
| true
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| 1
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| 0
| null | 0
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| 0
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| 0
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| 1
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| 0
| null | 0
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| 0
| 0
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| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
14f0de8b40a597e87fd83af6f68da477912d6f12
| 33
|
py
|
Python
|
backEnd/app/api/parent/__init__.py
|
HenryYDJ/flaskAPI
|
9947fbad1050d6ba29c29e365c561689ea3e22d8
|
[
"MIT"
] | null | null | null |
backEnd/app/api/parent/__init__.py
|
HenryYDJ/flaskAPI
|
9947fbad1050d6ba29c29e365c561689ea3e22d8
|
[
"MIT"
] | 14
|
2022-03-27T13:34:58.000Z
|
2022-03-31T14:37:19.000Z
|
backEnd/app/api/parent/__init__.py
|
HenryYDJ/flaskAPI
|
9947fbad1050d6ba29c29e365c561689ea3e22d8
|
[
"MIT"
] | null | null | null |
from app.api.parent import parent
| 33
| 33
| 0.848485
| 6
| 33
| 4.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.090909
| 33
| 1
| 33
| 33
| 0.933333
| 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
|
0915b0ca7780859ae4da6e50062a99fd3cd36fcd
| 38
|
py
|
Python
|
opy/development/tests/builtin_bug/a.py
|
nm17/Opy
|
d7f4ab2c97fc9e307b741dbd9689554266b6ccac
|
[
"Apache-2.0"
] | 284
|
2016-10-16T20:07:52.000Z
|
2022-03-11T00:54:42.000Z
|
opy/development/tests/builtin_bug/a.py
|
urantialife/Opy
|
d7f4ab2c97fc9e307b741dbd9689554266b6ccac
|
[
"Apache-2.0"
] | 32
|
2016-12-27T19:56:34.000Z
|
2021-12-02T18:47:10.000Z
|
opy/development/tests/builtin_bug/a.py
|
urantialife/Opy
|
d7f4ab2c97fc9e307b741dbd9689554266b6ccac
|
[
"Apache-2.0"
] | 67
|
2016-10-19T02:38:23.000Z
|
2022-01-25T04:32:55.000Z
|
import b
print ('a', type (builtins))
| 12.666667
| 28
| 0.657895
| 6
| 38
| 4.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 38
| 3
| 28
| 12.666667
| 0.78125
| 0
| 0
| 0
| 0
| 0
| 0.025641
| 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
|
09440cd1b664cf24c80caaf85b52e87740769b01
| 2,323
|
py
|
Python
|
tests/test_consul.py
|
johnnoone/aiovault
|
03e1bfb6f0404dcf97ce87a98c539027c4e78a37
|
[
"BSD-3-Clause"
] | 1
|
2022-01-31T22:37:57.000Z
|
2022-01-31T22:37:57.000Z
|
tests/test_consul.py
|
johnnoone/aiovault
|
03e1bfb6f0404dcf97ce87a98c539027c4e78a37
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_consul.py
|
johnnoone/aiovault
|
03e1bfb6f0404dcf97ce87a98c539027c4e78a37
|
[
"BSD-3-Clause"
] | null | null | null |
from aiovault import Vault
from conftest import async_test
from datetime import timedelta
import pytest
CONSUL_POLICY = """
key "" {
policy = "write"
}
"""
@async_test
def test_basic(dev_server, consul):
client = Vault(dev_server.addr, token=dev_server.root_token)
mounted, backend = yield from client.secret.mount('consul')
assert mounted
store = client.secret.load('consul')
configured = yield from store.config_access(address=consul.address,
token=consul.acl_master_token)
assert configured
configured = yield from store.write_role('foo', policy=CONSUL_POLICY)
assert configured
data = yield from store.creds('foo')
assert 'token' in data
@async_test
def test_crud(dev_server, consul):
client = Vault(dev_server.addr, token=dev_server.root_token)
mounted, backend = yield from client.secret.mount('consul')
assert mounted
store = client.secret.load('consul')
configured = yield from store.config_access(address=consul.address,
token=consul.acl_master_token)
assert configured
configured = yield from store.write_role('foo', policy=CONSUL_POLICY)
assert configured
role = yield from store.read_role('foo')
assert 'policy' in role
deleted = yield from store.delete_role('foo')
assert deleted
with pytest.raises(KeyError):
yield from store.read_role('foo')
@async_test
def test_lease(dev_server, consul):
client = Vault(dev_server.addr, token=dev_server.root_token)
mounted, backend = yield from client.secret.mount('consul')
assert mounted
store = client.secret.load('consul')
configured = yield from store.config_access(address=consul.address,
token=consul.acl_master_token)
assert configured
configured = yield from store.write_role('foo',
policy=CONSUL_POLICY,
lease='6h')
assert configured
role = yield from store.read_role('foo')
assert role['lease'] == timedelta(hours=6)
deleted = yield from store.delete_role('foo')
assert deleted
with pytest.raises(KeyError):
yield from store.read_role('foo')
| 29.0375
| 78
| 0.650452
| 277
| 2,323
| 5.306859
| 0.187726
| 0.097959
| 0.12381
| 0.097959
| 0.821088
| 0.821088
| 0.821088
| 0.821088
| 0.821088
| 0.821088
| 0
| 0.001161
| 0.258717
| 2,323
| 79
| 79
| 29.405063
| 0.852497
| 0
| 0
| 0.672414
| 0
| 0
| 0.050366
| 0
| 0
| 0
| 0
| 0
| 0.241379
| 1
| 0.051724
| false
| 0
| 0.068966
| 0
| 0.12069
| 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
|
095450bce76cf2b91981c3062aac46ad0b099e6f
| 104
|
py
|
Python
|
datasets/__init__.py
|
liamrahav/TopicBERT-PyTorch
|
e37e5185cf35d38275543ba1dc656f8496a4587d
|
[
"MIT"
] | 5
|
2021-04-08T03:25:47.000Z
|
2022-01-10T05:17:32.000Z
|
datasets/__init__.py
|
liamrahav/TopicBERT-PyTorch
|
e37e5185cf35d38275543ba1dc656f8496a4587d
|
[
"MIT"
] | 1
|
2021-04-23T13:49:21.000Z
|
2021-04-25T16:42:01.000Z
|
datasets/__init__.py
|
liamrahav/TopicBERT-PyTorch
|
e37e5185cf35d38275543ba1dc656f8496a4587d
|
[
"MIT"
] | null | null | null |
from .bow import *
from .reuters8 import *
from .vocab import *
from .imdb import *
from .embed import *
| 20.8
| 23
| 0.721154
| 15
| 104
| 5
| 0.466667
| 0.533333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011765
| 0.182692
| 104
| 5
| 24
| 20.8
| 0.870588
| 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
|
1178429647f771c2c74a1db28aae517e937b6e3d
| 169
|
py
|
Python
|
Dashboard/organization/admin.py
|
jyothiprakashpanaik/DashBoard-BackEnd1
|
a6aa85d9da0b0fc644f746898153c9c80433c68b
|
[
"Apache-2.0"
] | null | null | null |
Dashboard/organization/admin.py
|
jyothiprakashpanaik/DashBoard-BackEnd1
|
a6aa85d9da0b0fc644f746898153c9c80433c68b
|
[
"Apache-2.0"
] | null | null | null |
Dashboard/organization/admin.py
|
jyothiprakashpanaik/DashBoard-BackEnd1
|
a6aa85d9da0b0fc644f746898153c9c80433c68b
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import (Institute, Campus, Stream)
admin.site.register(Stream)
admin.site.register(Campus)
admin.site.register(Institute)
| 24.142857
| 47
| 0.810651
| 23
| 169
| 5.956522
| 0.478261
| 0.19708
| 0.372263
| 0.335766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08284
| 169
| 6
| 48
| 28.166667
| 0.883871
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
|
eeb941a2d00eba44d8fb4143efb6c6e0bb7888d8
| 45
|
py
|
Python
|
cupy_alias/linalg/eigenvalue.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 142
|
2018-06-07T07:43:10.000Z
|
2021-10-30T21:06:32.000Z
|
cupy_alias/linalg/eigenvalue.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 282
|
2018-06-07T08:35:03.000Z
|
2021-03-31T03:14:32.000Z
|
cupy_alias/linalg/eigenvalue.py
|
fixstars/clpy
|
693485f85397cc110fa45803c36c30c24c297df0
|
[
"BSD-3-Clause"
] | 19
|
2018-06-19T11:07:53.000Z
|
2021-05-13T20:57:04.000Z
|
from clpy.linalg.eigenvalue import * # NOQA
| 22.5
| 44
| 0.755556
| 6
| 45
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155556
| 45
| 1
| 45
| 45
| 0.894737
| 0.088889
| 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
|
eef760700ef19145c62dab38a6e8a09a325a8c4f
| 785
|
py
|
Python
|
elasticroute/warnings/bean.py
|
detrack/elasticroute-python
|
dc8000afd8a33ffbbd5dde6dda12fe51388ea74d
|
[
"MIT"
] | 2
|
2020-10-15T02:53:23.000Z
|
2021-01-27T06:10:37.000Z
|
elasticroute/warnings/bean.py
|
detrack/elasticroute-python
|
dc8000afd8a33ffbbd5dde6dda12fe51388ea74d
|
[
"MIT"
] | null | null | null |
elasticroute/warnings/bean.py
|
detrack/elasticroute-python
|
dc8000afd8a33ffbbd5dde6dda12fe51388ea74d
|
[
"MIT"
] | null | null | null |
import warnings
class NonStringKeyUsed(UserWarning):
message = "WARNING: You tried to use non-string keys to access data members of this object. Keys are always converted to string in any data member access operation (using []), so this may have unexpected effects especially if you accidentally pass in a list or dictionary as the key. You might want to revise your code to ensure you only pass in strings."
def __str__(self):
return self.message
class ResultKeyModified(UserWarning):
message = "WARNING: You tried to modify a readonly data attribute using bean[readonly_index] = value. Doing so has no effect. If you really need to change the readonly attributes, please use the set_readonly_data method."
def __str__(self):
return self.message
| 49.0625
| 359
| 0.761783
| 118
| 785
| 4.974576
| 0.627119
| 0.061329
| 0.085179
| 0.0954
| 0.211244
| 0.211244
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189809
| 785
| 15
| 360
| 52.333333
| 0.922956
| 0
| 0
| 0.444444
| 0
| 0.222222
| 0.703185
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.111111
| 0.111111
| 0.222222
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 6
|
011d0af8158701e4b32f747d64d3542dc63c9302
| 172
|
py
|
Python
|
python basics and applications/1/1-3/1-3-1.py
|
DzmitrySakalenka/stepik_courses
|
7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21
|
[
"MIT"
] | null | null | null |
python basics and applications/1/1-3/1-3-1.py
|
DzmitrySakalenka/stepik_courses
|
7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21
|
[
"MIT"
] | null | null | null |
python basics and applications/1/1-3/1-3-1.py
|
DzmitrySakalenka/stepik_courses
|
7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21
|
[
"MIT"
] | null | null | null |
#y больше или равно x
#y делится нацело на 5
import math
def closest_mod_5(x):
return math.ceil(x / 5) * 5
print(closest_mod_5(3),closest_mod_5(13),closest_mod_5(10))
| 21.5
| 59
| 0.732558
| 36
| 172
| 3.277778
| 0.555556
| 0.338983
| 0.372881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.082192
| 0.151163
| 172
| 8
| 59
| 21.5
| 0.726027
| 0.238372
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 0.25
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
01466bb453b83bc9ecf101c23581e53460cbf2bf
| 28
|
py
|
Python
|
strategies/gem/__init__.py
|
rmassidda/reproducible-continual-learning
|
ed7b7db634038d9d4312c2c54b15ca8eead1c07c
|
[
"MIT"
] | 53
|
2021-04-20T15:41:23.000Z
|
2022-03-30T17:24:36.000Z
|
strategies/gem/__init__.py
|
rmassidda/reproducible-continual-learning
|
ed7b7db634038d9d4312c2c54b15ca8eead1c07c
|
[
"MIT"
] | 14
|
2021-10-08T10:35:31.000Z
|
2022-03-29T14:00:06.000Z
|
strategies/gem/__init__.py
|
rmassidda/reproducible-continual-learning
|
ed7b7db634038d9d4312c2c54b15ca8eead1c07c
|
[
"MIT"
] | 7
|
2021-11-02T15:39:57.000Z
|
2022-03-31T03:25:04.000Z
|
from .experiment import GEM
| 14
| 27
| 0.821429
| 4
| 28
| 5.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 1
| 28
| 28
| 0.958333
| 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
|
015b0711111c37e9a6a62078fbffa958d9d31b30
| 45
|
py
|
Python
|
userSetup.py
|
arubertoson/maya-dynaimport
|
5b9f688403c18632da70a01fd30686f83734a0b4
|
[
"MIT"
] | null | null | null |
userSetup.py
|
arubertoson/maya-dynaimport
|
5b9f688403c18632da70a01fd30686f83734a0b4
|
[
"MIT"
] | 1
|
2016-01-24T10:56:05.000Z
|
2016-01-24T10:56:05.000Z
|
userSetup.py
|
arubertoson/maya-dynaimport
|
5b9f688403c18632da70a01fd30686f83734a0b4
|
[
"MIT"
] | null | null | null |
import dynaimport
dynaimport.parse_paths()
| 15
| 25
| 0.822222
| 5
| 45
| 7.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 45
| 2
| 26
| 22.5
| 0.9
| 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
|
0182dfb8c5fbe3232b7373f5881f4d8ac71a065a
| 138
|
py
|
Python
|
LuoguCodes/AT920.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
LuoguCodes/AT920.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
LuoguCodes/AT920.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
n = 2025 - int(raw_input())
for i in range(1,10):
for j in range(1,10):
if i * j == n:
print ';%d x %d'; % (i, j)
| 23
| 38
| 0.434783
| 27
| 138
| 2.185185
| 0.592593
| 0.237288
| 0.271186
| 0.338983
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113636
| 0.362319
| 138
| 5
| 39
| 27.6
| 0.556818
| 0
| 0
| 0
| 0
| 0
| 0.057971
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.2
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
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