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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f72bb6f0058e6022c5654db644c4f3a8d1350c2a
| 18,976
|
py
|
Python
|
ssd/modeling/backbone/basic.py
|
Sethan/deeplearning-graphics
|
ce164847a323d3f07cfe241f4bbed6029777c58d
|
[
"MIT"
] | null | null | null |
ssd/modeling/backbone/basic.py
|
Sethan/deeplearning-graphics
|
ce164847a323d3f07cfe241f4bbed6029777c58d
|
[
"MIT"
] | null | null | null |
ssd/modeling/backbone/basic.py
|
Sethan/deeplearning-graphics
|
ce164847a323d3f07cfe241f4bbed6029777c58d
|
[
"MIT"
] | null | null | null |
import torch
class BasicModel(torch.nn.Module):
"""
This is a basic backbone for SSD.
The feature extractor outputs a list of 6 feature maps, with the sizes:
[shape(-1, output_channels[0], 38, 38),
shape(-1, output_channels[1], 19, 19),
shape(-1, output_channels[2], 10, 10),
shape(-1, output_channels[3], 5, 5),
shape(-1, output_channels[3], 3, 3),
shape(-1, output_channels[4], 1, 1)]
where "output_channels" is the same as cfg.BACKBONE.OUT_CHANNELS
"""
def __init__(self, cfg):
super().__init__()
image_size = cfg.INPUT.IMAGE_SIZE
output_channels = cfg.MODEL.BACKBONE.OUT_CHANNELS
self.output_channels = output_channels
image_channels = cfg.MODEL.BACKBONE.INPUT_CHANNELS
self.output_feature_size = cfg.MODEL.PRIORS.FEATURE_MAPS
self.num_filters = [32,64]
self.feature_extractor38 = torch.nn.Sequential(
#part 1 38x38
torch.nn.Conv2d(
in_channels=image_channels,
out_channels=self.num_filters[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[0]),
torch.nn.MaxPool2d(2, stride=2),
torch.nn.ELU(),
torch.nn.Dropout2d(0.05),
torch.nn.Conv2d(
in_channels=self.num_filters[0],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.06),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.07),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.08),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.09),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.01),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.MaxPool2d(2, stride=2),
torch.nn.ELU(),
torch.nn.Dropout2d(0.11),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.12),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.13),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.num_filters[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.num_filters[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.14),
torch.nn.Conv2d(
in_channels=self.num_filters[1],
out_channels=self.output_channels[0],
kernel_size=3,
stride=2,
padding=1
)
)
self.feature_extractor19 = torch.nn.Sequential(
#part 2 19x19
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.15),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.16),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.17),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.18),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.19),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.2),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.21),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[0],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[0]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.22),
torch.nn.Conv2d(
in_channels=self.output_channels[0],
out_channels=self.output_channels[1],
kernel_size=3,
stride=2,
padding=1
))
self.feature_extractor9 = torch.nn.Sequential(
#part 3 10x10
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.23),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.24),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.25),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.26),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.27),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.28),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.29),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[1],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[1]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.30),
torch.nn.Conv2d(
in_channels=self.output_channels[1],
out_channels=self.output_channels[2],
kernel_size=3,
stride=2,
padding=1
))
self.feature_extractor5 = torch.nn.Sequential(
#part 4 5x5
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.31),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.32),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.33),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.34),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.35),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.36),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.37),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[2],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[2]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.38),
torch.nn.Conv2d(
in_channels=self.output_channels[2],
out_channels=self.output_channels[3],
kernel_size=3,
stride=2,
padding=1
))
self.feature_extractor3 = torch.nn.Sequential(
#part 5 3x3
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.39),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.40),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.ELU(),
torch.nn.Dropout2d(0.41),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.42),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.43),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.44),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.45),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[3],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[3]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.46),
torch.nn.Conv2d(
in_channels=self.output_channels[3],
out_channels=self.output_channels[4],
kernel_size=3,
stride=2,
padding=1
))
self.feature_extractor1 = torch.nn.Sequential(
#part 6 1x1
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.48),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.49),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.50),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.51),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.52),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.53),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.54),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[4],
kernel_size=3,
stride=1,
padding=1
),
torch.nn.BatchNorm2d(self.output_channels[4]),
torch.nn.ELU(),
torch.nn.Dropout2d(0.55),
torch.nn.Conv2d(
in_channels=self.output_channels[4],
out_channels=self.output_channels[5],
kernel_size=3,
stride=1,
padding=0
))
def forward(self, x):
"""
The forward functiom should output features with shape:
[shape(-1, output_channels[0], 38, 38),
shape(-1, output_channels[1], 19, 19),
shape(-1, output_channels[2], 10, 10),
shape(-1, output_channels[3], 5, 5),
shape(-1, output_channels[3], 3, 3),
shape(-1, output_channels[4], 1, 1)]
We have added assertion tests to check this, iteration through out_features,
where out_features[0] should have the shape:
shape(-1, output_channels[0], 38, 38),
"""
out_features = []
out = self.feature_extractor38(x)
out_features.append(out)
out = self.feature_extractor19(out)
out_features.append(out)
out = self.feature_extractor9(out)
out_features.append(out)
out = self.feature_extractor5(out)
out_features.append(out)
out = self.feature_extractor3(out)
out_features.append(out)
out = self.feature_extractor1(out)
out_features.append(out)
feature_list = [38,19,10,5,3,1]
for idx, feature in enumerate(out_features):
expected_shape = (self.output_channels[idx], feature_list[idx], feature_list[idx])
assert feature.shape[1:] == expected_shape, \
f"Expected shape: {expected_shape}, got: {feature.shape[1:]} at output IDX: {idx}"
return tuple(out_features)
| 32.108291
| 98
| 0.539155
| 2,241
| 18,976
| 4.400714
| 0.065149
| 0.148347
| 0.222673
| 0.216183
| 0.880045
| 0.869803
| 0.867268
| 0.863821
| 0.839485
| 0.829345
| 0
| 0.058387
| 0.340219
| 18,976
| 590
| 99
| 32.162712
| 0.729313
| 0.049852
| 0
| 0.838532
| 0
| 0.001835
| 0.004418
| 0
| 0
| 0
| 0
| 0
| 0.001835
| 1
| 0.00367
| false
| 0
| 0.001835
| 0
| 0.009174
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
f7a1b39194867b400b05e475d6029c9bbf08acd2
| 157
|
py
|
Python
|
flash/graph/classification/__init__.py
|
Actis92/lightning-flash
|
49972268cfc0f95f1bd2b8fbf25036970cc44b59
|
[
"Apache-2.0"
] | 1,457
|
2021-01-28T20:40:16.000Z
|
2022-03-31T06:22:05.000Z
|
flash/graph/classification/__init__.py
|
Actis92/lightning-flash
|
49972268cfc0f95f1bd2b8fbf25036970cc44b59
|
[
"Apache-2.0"
] | 1,123
|
2021-01-28T20:37:56.000Z
|
2022-03-31T19:34:44.000Z
|
flash/graph/classification/__init__.py
|
Actis92/lightning-flash
|
49972268cfc0f95f1bd2b8fbf25036970cc44b59
|
[
"Apache-2.0"
] | 170
|
2021-01-29T00:41:39.000Z
|
2022-03-29T16:09:52.000Z
|
from flash.graph.classification.data import GraphClassificationData # noqa: F401
from flash.graph.classification.model import GraphClassifier # noqa: F401
| 52.333333
| 81
| 0.834395
| 18
| 157
| 7.277778
| 0.611111
| 0.137405
| 0.21374
| 0.427481
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042553
| 0.101911
| 157
| 2
| 82
| 78.5
| 0.886525
| 0.133758
| 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
| 1
| 0
|
0
| 7
|
5417ad11c21e878f08943bf5930b50874f4bb213
| 34,831
|
py
|
Python
|
generated/resources/bgp_as_a_service_heat.py
|
atsgen/tf-heat-plugin
|
5c0405eb93287368f60f7e227e5af5ada6bfeed2
|
[
"Apache-2.0"
] | 1
|
2020-04-05T19:43:40.000Z
|
2020-04-05T19:43:40.000Z
|
generated/resources/bgp_as_a_service_heat.py
|
atsgen/tf-heat-plugin
|
5c0405eb93287368f60f7e227e5af5ada6bfeed2
|
[
"Apache-2.0"
] | null | null | null |
generated/resources/bgp_as_a_service_heat.py
|
atsgen/tf-heat-plugin
|
5c0405eb93287368f60f7e227e5af5ada6bfeed2
|
[
"Apache-2.0"
] | 1
|
2020-08-25T12:47:27.000Z
|
2020-08-25T12:47:27.000Z
|
# AUTO-GENERATED file from IFMapApiGenerator. Do Not Edit!
from contrail_heat.resources import contrail
try:
from heat.common.i18n import _
except ImportError:
pass
from heat.engine import attributes
from heat.engine import constraints
from heat.engine import properties
try:
from heat.openstack.common import log as logging
except ImportError:
from oslo_log import log as logging
import uuid
from vnc_api import vnc_api
LOG = logging.getLogger(__name__)
class ContrailBgpAsAService(contrail.ContrailResource):
PROPERTIES = (
NAME, FQ_NAME, BGPAAS_SESSION_ATTRIBUTES, BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER, BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN, BGPAAS_SESSION_ATTRIBUTES_PASSIVE, BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE, BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME, BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT, BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY, BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE, BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID, BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY, BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY, BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT, BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT, BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM, DISPLAY_NAME, BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT, BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP, BGPAAS_IP_ADDRESS, AUTONOMOUS_SYSTEM, BGP_ROUTER_REFS, VIRTUAL_MACHINE_INTERFACE_REFS, PROJECT
) = (
'name', 'fq_name', 'bgpaas_session_attributes', 'bgpaas_session_attributes_bgp_router', 'bgpaas_session_attributes_admin_down', 'bgpaas_session_attributes_passive', 'bgpaas_session_attributes_as_override', 'bgpaas_session_attributes_hold_time', 'bgpaas_session_attributes_loop_count', 'bgpaas_session_attributes_address_families', 'bgpaas_session_attributes_address_families_family', 'bgpaas_session_attributes_auth_data', 'bgpaas_session_attributes_auth_data_key_type', 'bgpaas_session_attributes_auth_data_key_items', 'bgpaas_session_attributes_auth_data_key_items_key_id', 'bgpaas_session_attributes_auth_data_key_items_key', 'bgpaas_session_attributes_family_attributes', 'bgpaas_session_attributes_family_attributes_address_family', 'bgpaas_session_attributes_family_attributes_loop_count', 'bgpaas_session_attributes_family_attributes_prefix_limit', 'bgpaas_session_attributes_family_attributes_prefix_limit_maximum', 'display_name', 'bgpaas_suppress_route_advertisement', 'bgpaas_ipv4_mapped_ipv6_nexthop', 'bgpaas_ip_address', 'autonomous_system', 'bgp_router_refs', 'virtual_machine_interface_refs', 'project'
)
properties_schema = {
NAME: properties.Schema(
properties.Schema.STRING,
_('NAME.'),
update_allowed=True,
required=False,
),
FQ_NAME: properties.Schema(
properties.Schema.STRING,
_('FQ_NAME.'),
update_allowed=True,
required=False,
),
BGPAAS_SESSION_ATTRIBUTES: properties.Schema(
properties.Schema.MAP,
_('BGPAAS_SESSION_ATTRIBUTES.'),
update_allowed=True,
required=False,
schema={
BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER: properties.Schema(
properties.Schema.STRING,
_('BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER.'),
update_allowed=True,
required=False,
),
BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN: properties.Schema(
properties.Schema.BOOLEAN,
_('BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN.'),
update_allowed=True,
required=False,
),
BGPAAS_SESSION_ATTRIBUTES_PASSIVE: properties.Schema(
properties.Schema.BOOLEAN,
_('BGPAAS_SESSION_ATTRIBUTES_PASSIVE.'),
update_allowed=True,
required=False,
),
BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE: properties.Schema(
properties.Schema.BOOLEAN,
_('BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE.'),
update_allowed=True,
required=False,
),
BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME: properties.Schema(
properties.Schema.INTEGER,
_('BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME.'),
update_allowed=True,
required=False,
constraints=[
constraints.Range(0, 65535),
],
),
BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT: properties.Schema(
properties.Schema.INTEGER,
_('BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT.'),
update_allowed=True,
required=False,
constraints=[
constraints.Range(0, 16),
],
),
BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES: properties.Schema(
properties.Schema.MAP,
_('BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES.'),
update_allowed=True,
required=False,
schema={
BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY: properties.Schema(
properties.Schema.LIST,
_('BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY.'),
update_allowed=True,
required=False,
constraints=[
constraints.AllowedValues([u'inet', u'inet-vpn', u'e-vpn', u'erm-vpn', u'route-target', u'inet6', u'inet6-vpn']),
],
),
}
),
BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA: properties.Schema(
properties.Schema.MAP,
_('BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA.'),
update_allowed=True,
required=False,
schema={
BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE: properties.Schema(
properties.Schema.STRING,
_('BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE.'),
update_allowed=True,
required=False,
constraints=[
constraints.AllowedValues([u'md5']),
],
),
BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS: properties.Schema(
properties.Schema.LIST,
_('BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS.'),
update_allowed=True,
required=False,
schema=properties.Schema(
properties.Schema.MAP,
schema={
BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID: properties.Schema(
properties.Schema.INTEGER,
_('BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID.'),
update_allowed=True,
required=False,
constraints=[
constraints.Range(0, 63),
],
),
BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY: properties.Schema(
properties.Schema.STRING,
_('BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY.'),
update_allowed=True,
required=False,
),
}
)
),
}
),
BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES: properties.Schema(
properties.Schema.LIST,
_('BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES.'),
update_allowed=True,
required=False,
schema=properties.Schema(
properties.Schema.MAP,
schema={
BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY: properties.Schema(
properties.Schema.STRING,
_('BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY.'),
update_allowed=True,
required=False,
constraints=[
constraints.AllowedValues([u'inet', u'inet-vpn', u'e-vpn', u'erm-vpn', u'route-target', u'inet6', u'inet6-vpn']),
],
),
BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT: properties.Schema(
properties.Schema.INTEGER,
_('BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT.'),
update_allowed=True,
required=False,
constraints=[
constraints.Range(0, 16),
],
),
BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT: properties.Schema(
properties.Schema.MAP,
_('BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT.'),
update_allowed=True,
required=False,
schema={
BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM: properties.Schema(
properties.Schema.INTEGER,
_('BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM.'),
update_allowed=True,
required=False,
),
}
),
}
)
),
}
),
DISPLAY_NAME: properties.Schema(
properties.Schema.STRING,
_('DISPLAY_NAME.'),
update_allowed=True,
required=False,
),
BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT: properties.Schema(
properties.Schema.BOOLEAN,
_('BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT.'),
update_allowed=True,
required=False,
),
BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP: properties.Schema(
properties.Schema.BOOLEAN,
_('BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP.'),
update_allowed=True,
required=False,
),
BGPAAS_IP_ADDRESS: properties.Schema(
properties.Schema.STRING,
_('BGPAAS_IP_ADDRESS.'),
update_allowed=True,
required=False,
),
AUTONOMOUS_SYSTEM: properties.Schema(
properties.Schema.INTEGER,
_('AUTONOMOUS_SYSTEM.'),
update_allowed=True,
required=False,
),
BGP_ROUTER_REFS: properties.Schema(
properties.Schema.LIST,
_('BGP_ROUTER_REFS.'),
update_allowed=True,
required=False,
),
VIRTUAL_MACHINE_INTERFACE_REFS: properties.Schema(
properties.Schema.LIST,
_('VIRTUAL_MACHINE_INTERFACE_REFS.'),
update_allowed=True,
required=False,
),
PROJECT: properties.Schema(
properties.Schema.STRING,
_('PROJECT.'),
update_allowed=True,
required=False,
),
}
attributes_schema = {
NAME: attributes.Schema(
_('NAME.'),
),
FQ_NAME: attributes.Schema(
_('FQ_NAME.'),
),
BGPAAS_SESSION_ATTRIBUTES: attributes.Schema(
_('BGPAAS_SESSION_ATTRIBUTES.'),
),
DISPLAY_NAME: attributes.Schema(
_('DISPLAY_NAME.'),
),
BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT: attributes.Schema(
_('BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT.'),
),
BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP: attributes.Schema(
_('BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP.'),
),
BGPAAS_IP_ADDRESS: attributes.Schema(
_('BGPAAS_IP_ADDRESS.'),
),
AUTONOMOUS_SYSTEM: attributes.Schema(
_('AUTONOMOUS_SYSTEM.'),
),
BGP_ROUTER_REFS: attributes.Schema(
_('BGP_ROUTER_REFS.'),
),
VIRTUAL_MACHINE_INTERFACE_REFS: attributes.Schema(
_('VIRTUAL_MACHINE_INTERFACE_REFS.'),
),
PROJECT: attributes.Schema(
_('PROJECT.'),
),
}
update_allowed_keys = ('Properties',)
def handle_create(self):
parent_obj = None
if parent_obj is None and self.properties.get(self.PROJECT):
try:
parent_obj = self.vnc_lib().project_read(id=self.properties.get(self.PROJECT))
except vnc_api.NoIdError:
parent_obj = self.vnc_lib().project_read(fq_name_str=self.properties.get(self.PROJECT))
except:
parent_obj = None
if parent_obj is None:
tenant_id = self.stack.context.tenant_id
parent_obj = self.vnc_lib().project_read(id=str(uuid.UUID(tenant_id)))
if parent_obj is None:
raise Exception('Error: parent is not specified in template!')
obj_0 = vnc_api.BgpAsAService(name=self.properties[self.NAME],
parent_obj=parent_obj)
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES) is not None:
obj_1 = vnc_api.BgpSessionAttributes()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER) is not None:
obj_1.set_bgp_router(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN) is not None:
obj_1.set_admin_down(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_PASSIVE) is not None:
obj_1.set_passive(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_PASSIVE))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE) is not None:
obj_1.set_as_override(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME) is not None:
obj_1.set_hold_time(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT) is not None:
obj_1.set_loop_count(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES) is not None:
obj_2 = vnc_api.AddressFamilies()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY) is not None:
for index_2 in range(len(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY))):
obj_2.add_family(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY)[index_2])
obj_1.set_address_families(obj_2)
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA) is not None:
obj_2 = vnc_api.AuthenticationData()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE) is not None:
obj_2.set_key_type(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS) is not None:
for index_2 in range(len(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS))):
obj_3 = vnc_api.AuthenticationKeyItem()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID) is not None:
obj_3.set_key_id(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY) is not None:
obj_3.set_key(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY))
obj_2.add_key_items(obj_3)
obj_1.set_auth_data(obj_2)
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES) is not None:
for index_1 in range(len(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES))):
obj_2 = vnc_api.BgpFamilyAttributes()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY) is not None:
obj_2.set_address_family(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT) is not None:
obj_2.set_loop_count(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT))
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT) is not None:
obj_3 = vnc_api.BgpPrefixLimit()
if self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM) is not None:
obj_3.set_maximum(self.properties.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM))
obj_2.set_prefix_limit(obj_3)
obj_1.add_family_attributes(obj_2)
obj_0.set_bgpaas_session_attributes(obj_1)
if self.properties.get(self.DISPLAY_NAME) is not None:
obj_0.set_display_name(self.properties.get(self.DISPLAY_NAME))
if self.properties.get(self.BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT) is not None:
obj_0.set_bgpaas_suppress_route_advertisement(self.properties.get(self.BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT))
if self.properties.get(self.BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP) is not None:
obj_0.set_bgpaas_ipv4_mapped_ipv6_nexthop(self.properties.get(self.BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP))
if self.properties.get(self.BGPAAS_IP_ADDRESS) is not None:
obj_0.set_bgpaas_ip_address(self.properties.get(self.BGPAAS_IP_ADDRESS))
if self.properties.get(self.AUTONOMOUS_SYSTEM) is not None:
obj_0.set_autonomous_system(self.properties.get(self.AUTONOMOUS_SYSTEM))
# reference to bgp_router_refs
if self.properties.get(self.BGP_ROUTER_REFS):
for index_0 in range(len(self.properties.get(self.BGP_ROUTER_REFS))):
try:
ref_obj = self.vnc_lib().bgp_router_read(
id=self.properties.get(self.BGP_ROUTER_REFS)[index_0]
)
except vnc_api.NoIdError:
ref_obj = self.vnc_lib().bgp_router_read(
fq_name_str=self.properties.get(self.BGP_ROUTER_REFS)[index_0]
)
obj_0.add_bgp_router(ref_obj)
# reference to virtual_machine_interface_refs
if self.properties.get(self.VIRTUAL_MACHINE_INTERFACE_REFS):
for index_0 in range(len(self.properties.get(self.VIRTUAL_MACHINE_INTERFACE_REFS))):
try:
ref_obj = self.vnc_lib().virtual_machine_interface_read(
id=self.properties.get(self.VIRTUAL_MACHINE_INTERFACE_REFS)[index_0]
)
except vnc_api.NoIdError:
ref_obj = self.vnc_lib().virtual_machine_interface_read(
fq_name_str=self.properties.get(self.VIRTUAL_MACHINE_INTERFACE_REFS)[index_0]
)
obj_0.add_virtual_machine_interface(ref_obj)
try:
obj_uuid = super(ContrailBgpAsAService, self).resource_create(obj_0)
except:
raise Exception(_('bgp-as-a-service %s could not be updated.') % self.name)
self.resource_id_set(obj_uuid)
def handle_update(self, json_snippet, tmpl_diff, prop_diff):
try:
obj_0 = self.vnc_lib().bgp_as_a_service_read(
id=self.resource_id
)
except:
raise Exception(_('bgp-as-a-service %s not found.') % self.name)
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES) is not None:
obj_1 = vnc_api.BgpSessionAttributes()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER) is not None:
obj_1.set_bgp_router(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_BGP_ROUTER))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN) is not None:
obj_1.set_admin_down(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADMIN_DOWN))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_PASSIVE) is not None:
obj_1.set_passive(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_PASSIVE))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE) is not None:
obj_1.set_as_override(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AS_OVERRIDE))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME) is not None:
obj_1.set_hold_time(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_HOLD_TIME))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT) is not None:
obj_1.set_loop_count(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_LOOP_COUNT))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES) is not None:
obj_2 = vnc_api.AddressFamilies()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY) is not None:
for index_2 in range(len(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY))):
obj_2.add_family(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_ADDRESS_FAMILIES_FAMILY)[index_2])
obj_1.set_address_families(obj_2)
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA) is not None:
obj_2 = vnc_api.AuthenticationData()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE) is not None:
obj_2.set_key_type(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_TYPE))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS) is not None:
for index_2 in range(len(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS))):
obj_3 = vnc_api.AuthenticationKeyItem()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID) is not None:
obj_3.set_key_id(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY_ID))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY) is not None:
obj_3.set_key(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS, {})[index_2].get(self.BGPAAS_SESSION_ATTRIBUTES_AUTH_DATA_KEY_ITEMS_KEY))
obj_2.add_key_items(obj_3)
obj_1.set_auth_data(obj_2)
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES) is not None:
for index_1 in range(len(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES))):
obj_2 = vnc_api.BgpFamilyAttributes()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY) is not None:
obj_2.set_address_family(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_ADDRESS_FAMILY))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT) is not None:
obj_2.set_loop_count(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_LOOP_COUNT))
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT) is not None:
obj_3 = vnc_api.BgpPrefixLimit()
if prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM) is not None:
obj_3.set_maximum(prop_diff.get(self.BGPAAS_SESSION_ATTRIBUTES, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES, {})[index_1].get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT, {}).get(self.BGPAAS_SESSION_ATTRIBUTES_FAMILY_ATTRIBUTES_PREFIX_LIMIT_MAXIMUM))
obj_2.set_prefix_limit(obj_3)
obj_1.add_family_attributes(obj_2)
obj_0.set_bgpaas_session_attributes(obj_1)
if prop_diff.get(self.DISPLAY_NAME) is not None:
obj_0.set_display_name(prop_diff.get(self.DISPLAY_NAME))
if prop_diff.get(self.BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT) is not None:
obj_0.set_bgpaas_suppress_route_advertisement(prop_diff.get(self.BGPAAS_SUPPRESS_ROUTE_ADVERTISEMENT))
if prop_diff.get(self.BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP) is not None:
obj_0.set_bgpaas_ipv4_mapped_ipv6_nexthop(prop_diff.get(self.BGPAAS_IPV4_MAPPED_IPV6_NEXTHOP))
if prop_diff.get(self.BGPAAS_IP_ADDRESS) is not None:
obj_0.set_bgpaas_ip_address(prop_diff.get(self.BGPAAS_IP_ADDRESS))
if prop_diff.get(self.AUTONOMOUS_SYSTEM) is not None:
obj_0.set_autonomous_system(prop_diff.get(self.AUTONOMOUS_SYSTEM))
# reference to bgp_router_refs
ref_obj_list = []
ref_data_list = []
if self.BGP_ROUTER_REFS in prop_diff:
for index_0 in range(len(prop_diff.get(self.BGP_ROUTER_REFS) or [])):
try:
ref_obj = self.vnc_lib().bgp_router_read(
id=prop_diff.get(self.BGP_ROUTER_REFS)[index_0]
)
except:
ref_obj = self.vnc_lib().bgp_router_read(
fq_name_str=prop_diff.get(self.BGP_ROUTER_REFS)[index_0]
)
ref_obj_list.append(ref_obj.fq_name)
obj_0.set_bgp_router_list(ref_obj_list)
# End: reference to bgp_router_refs
# reference to virtual_machine_interface_refs
ref_obj_list = []
ref_data_list = []
if self.VIRTUAL_MACHINE_INTERFACE_REFS in prop_diff:
for index_0 in range(len(prop_diff.get(self.VIRTUAL_MACHINE_INTERFACE_REFS) or [])):
try:
ref_obj = self.vnc_lib().virtual_machine_interface_read(
id=prop_diff.get(self.VIRTUAL_MACHINE_INTERFACE_REFS)[index_0]
)
except:
ref_obj = self.vnc_lib().virtual_machine_interface_read(
fq_name_str=prop_diff.get(self.VIRTUAL_MACHINE_INTERFACE_REFS)[index_0]
)
ref_obj_list.append(ref_obj.fq_name)
obj_0.set_virtual_machine_interface_list(ref_obj_list)
# End: reference to virtual_machine_interface_refs
try:
self.vnc_lib().bgp_as_a_service_update(obj_0)
except:
raise Exception(_('bgp-as-a-service %s could not be updated.') % self.name)
def handle_delete(self):
if self.resource_id is None:
return
try:
self.vnc_lib().bgp_as_a_service_delete(id=self.resource_id)
except Exception as ex:
self._ignore_not_found(ex)
LOG.warn(_('bgp_as_a_service %s already deleted.') % self.name)
def _show_resource(self):
obj = self.vnc_lib().bgp_as_a_service_read(id=self.resource_id)
obj_dict = obj.serialize_to_json()
return obj_dict
def resource_mapping():
return {
'OS::ContrailV2::BgpAsAService': ContrailBgpAsAService,
}
| 66.726054
| 1,126
| 0.648905
| 3,893
| 34,831
| 5.340098
| 0.044696
| 0.166338
| 0.29429
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| 0.921834
| 0.891289
| 0.848814
| 0.823993
| 0.738275
| 0.69277
| 0
| 0.006622
| 0.267291
| 34,831
| 521
| 1,127
| 66.854127
| 0.807962
| 0.008182
| 0
| 0.502066
| 1
| 0
| 0.074731
| 0.058662
| 0
| 0
| 0
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| 1
| 0.010331
| false
| 0.018595
| 0.022727
| 0.002066
| 0.049587
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
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0
| 10
|
542005d4b9eaf899639dd84129496c63ba749c35
| 29,024
|
py
|
Python
|
core/srl_fairness.py
|
CoraJung/bandit-under-fairness-constraints
|
02d9f70663a95685d296916de3cd0f83797aaded
|
[
"MIT"
] | null | null | null |
core/srl_fairness.py
|
CoraJung/bandit-under-fairness-constraints
|
02d9f70663a95685d296916de3cd0f83797aaded
|
[
"MIT"
] | null | null | null |
core/srl_fairness.py
|
CoraJung/bandit-under-fairness-constraints
|
02d9f70663a95685d296916de3cd0f83797aaded
|
[
"MIT"
] | 2
|
2021-05-14T21:25:57.000Z
|
2021-05-14T22:03:17.000Z
|
import numpy as np
from utils import rvs
from core.base.srl import SeldonianRLBase
def PolicyImprovementRLMixin(mode='ttest', scaling=2.0):
class PolicyImprovementRLMixin:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystem._get_return_ranges() not defined')
def _preprocessor(self, data):
R = data['R']
R_ref = data['R_ref']
return { 'R' : R, 'R_ref' : R_ref }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R = rvs.BoundedRealSampleSet(name='R', lower=r_min, upper=r_max)
ER = R.expected_value('E[R]', mode=mode)
# Variables for expected return given T under the reference policy
R_ref = rvs.BoundedRealSampleSet(name='R_ref', lower=r_min, upper=r_max)
ER_ref = R_ref.expected_value('E[R_ref]', mode=mode)
# Constants
e = rvs.constant(self.epsilons[0], name='e')
# BQF and Constraint Objectives
# g0(theta) := (E[R_ref] - E[R]) - e
BQF = rvs.sum( ER_ref, -ER, name='BQF' )
CO = rvs.sum( BQF, -e, name='CO' )
SCO = rvs.sum( BQF, -e, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R, R_ref)
self._vm.add(ER, ER_ref, BQF, CO, SCO)
return PolicyImprovementRLMixin
class PolicyImprovementSRL(PolicyImprovementRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, epsilon=0.0, delta=0.05, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class PolicyImprovementBootstrapSRL(PolicyImprovementRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, epsilon=0.0, delta=0.05, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
def PolicyImprovementEmpRLMixin(mode='ttest', scaling=2.0):
class PolicyImprovementEmpRLMixin:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystem._get_return_ranges() not defined')
def _preprocessor(self, data):
R = data['R']
return { 'R' : R }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R = rvs.BoundedRealSampleSet(name='R', lower=r_min, upper=r_max)
ER = R.expected_value('E[R]', mode=mode)
ER_ref = rvs.constant(self._ref_return, name='E[R_ref]')
# Constants
e = rvs.constant(self.epsilons[0], name='e')
# BQF and Constraint Objectives
# g0(theta) := (E[R_ref] - E[R]) - e
BQF = rvs.sum( ER_ref, -ER, name='BQF' )
CO = rvs.sum( BQF, -e, name='CO' )
SCO = rvs.sum( BQF, -e, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R)
self._vm.add(ER, ER_ref, BQF, CO, SCO)
return PolicyImprovementEmpRLMixin
class PolicyImprovementEmpSRL(PolicyImprovementEmpRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, epsilon=0.0, delta=0.05, ref_return=0.0, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
self._ref_return = ref_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class PolicyImprovementBootstrapEmpSRL(PolicyImprovementEmpRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, epsilon=0.0, delta=0.05, ref_return=0.0, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
self._ref_return = ref_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
######################
# Group Fairness #
######################
def GroupFairnessRLMixin(mode='ttest', scaling=2.0):
class GroupFairness:
def _is_positive(self):
raise NotImplementedError('GroupFairness._is_positive undefined.')
def _preprocessor(self, data):
T = data['T']
P = data['P'][:,0,:]
A = np.argmax(P,1)
# A = data['A']
# Split Y and Yp into two sets based T
A0 = A[np.where(T==0)[0]].astype(int)
A1 = A[np.where(T==1)[0]].astype(int)
# Compute indicators for "positive" action predictions
Pos0 = np.array([ self._is_positive(a) for a in A0 ]).astype(np.float)
Pos1 = np.array([ self._is_positive(a) for a in A1 ]).astype(np.float)
# Compute type-dependent indicators for positive predictions
return { 'Pos0' : Pos0,
'Pos1' : Pos1 }
def _make_rvs(self):
# Sample sets for false-positive classifications conditioned on T
Pos0 = rvs.BoundedRealSampleSet(name='Pos0', lower=0, upper=1)
Pos1 = rvs.BoundedRealSampleSet(name='Pos1', lower=0, upper=1)
# Variables representing the conditional false-positive rates and the BQF
PrPos0 = Pos0.expected_value('Pr(Pos|T=0)', mode=mode)
PrPos1 = Pos1.expected_value('Pr(Pos|T=1)', mode=mode)
# Constants
e = rvs.constant(self.epsilons[0], name='e')
# BQF
BQF = rvs.abs( PrPos0-PrPos1, name='BQF' )
CO = rvs.sum( BQF, -e, name='CO' )
SCO = rvs.sum( BQF, -e, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(Pos0, Pos1)
self._vm.add(PrPos0, PrPos1, BQF, CO, SCO)
return GroupFairness
class GroupFairnessSRL(GroupFairnessRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, is_positivef, epsilon=0.05, delta=0.05, model_type='argmax', minimum_return=1): # orig: model_type='softmax'
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
self._is_positive = is_positivef
class GroupFairnessBootstrapSRL(GroupFairnessRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, is_positivef, epsilon=0.05, delta=0.05, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
self._is_positive = is_positivef
########################
# Disparate Impact #
########################
def DisparateImpactMixin(mode='ttest', scaling=2.0):
class DisparateImpact:
def _is_positive(self):
raise NotImplementedError('DisparateImpact._is_positive undefined.')
def _preprocessor(self, data):
T = data['T']
P = data['P'][:,0,:]
A = np.argmax(P,1)
# Split Y and Yp into two sets based T
A0 = A[np.where(T==0)[0]].astype(int)
A1 = A[np.where(T==1)[0]].astype(int)
# Compute indicators for "positive" action predictions
Pos0 = np.array([ self._is_positive(a) for a in A0 ]).astype(np.float)
Pos1 = np.array([ self._is_positive(a) for a in A1 ]).astype(np.float)
# Compute type-dependent indicators for positive predictions
return { 'Pos0' : Pos0,
'Pos1' : Pos1 }
def _make_rvs(self):
# Sample sets for false-positive classifications conditioned on T
Pos0 = rvs.BoundedRealSampleSet(name='Pos0', lower=0, upper=1)
Pos1 = rvs.BoundedRealSampleSet(name='Pos1', lower=0, upper=1)
# Variables representing the conditional false-positive rates and the BQF
PrPos0 = Pos0.expected_value('Pr(Pos|T=0)', mode=mode)
PrPos1 = Pos1.expected_value('Pr(Pos|T=1)', mode=mode)
# Constants
pct = rvs.constant(self.epsilons[0], name='pct')
# BQF
BQF = rvs.maxrec( -(PrPos0/PrPos1), name='BQF')
CO = rvs.sum( BQF, -pct, name='CO' )
SCO = rvs.sum( BQF, -pct, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(Pos0, Pos1)
self._vm.add(PrPos0, PrPos1, BQF, CO, SCO)
return DisparateImpact
class DisparateImpactSRL(DisparateImpactMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, is_positivef, epsilon=0.05, delta=0.05, model_type='softmax', minimum_return=1):
epsilons = np.array([ epsilon ])
deltas = np.array([ delta ])
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
self._is_positive = is_positivef
################################################################
# Tutoring System (Both Genders, Bounded Reference Return) #
################################################################
def TutoringSystemRLMixin(mode='ttest', scaling=2.0):
class TutoringSystem:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystem._get_return_ranges() not defined')
def _preprocessor(self, data):
T = data['T']
R = data['R']
R_ref = data['R_ref']
# Split R and R_ref into two sets based T
R0 = R[np.where(T==0)[0]] / self._iw_type_corrections[0] # Undo any type-based importance weighting
R1 = R[np.where(T==1)[0]] / self._iw_type_corrections[1] # Undo any type-based importance weighting
R_ref0 = R_ref[np.where(T==0)[0]]
R_ref1 = R_ref[np.where(T==1)[0]]
# Compute type-dependent indicators for positive predictions
return { 'R0' : R0, 'R_ref0' : R_ref0,
'R1' : R1, 'R_ref1' : R_ref1 }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R0 = rvs.BoundedRealSampleSet(name='R0', lower=r_min, upper=r_max)
R1 = rvs.BoundedRealSampleSet(name='R1', lower=r_min, upper=r_max)
ER0 = R0.expected_value('E[R|T=0]', mode=mode)
ER1 = R1.expected_value('E[R|T=1]', mode=mode)
# Variables for expected return given T under the reference policy
R_ref0 = rvs.BoundedRealSampleSet(name='R_ref0', lower=r_min, upper=r_max)
R_ref1 = rvs.BoundedRealSampleSet(name='R_ref1', lower=r_min, upper=r_max)
ER_ref0 = R_ref0.expected_value('E[R_ref|T=0]', mode=mode)
ER_ref1 = R_ref1.expected_value('E[R_ref|T=1]', mode=mode)
# Constants
e = rvs.constant(self.epsilons[0], name='e')
# BQF and Constraint Objectives
# g0(theta) := (E[R_ref|T=0] - E[R|T=0]) - e
# g1(theta) := (E[R_ref|T=1] - E[R|T=1]) - e
BQF0 = rvs.sum( ER_ref0, -ER0, name='BQF0' )
BQF1 = rvs.sum( ER_ref1, -ER1, name='BQF1' )
CO0 = rvs.sum( BQF0, -e, name='CO0' )
SCO0 = rvs.sum( BQF0, -e, name='SCO0', scaling=scaling )
CO1 = rvs.sum( BQF1, -e, name='CO1' )
SCO1 = rvs.sum( BQF1, -e, name='SCO1', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO0, CO1 ]
self._ccheck_rvs = [ SCO0, SCO1 ]
self._eval_rvs = { 'bqf_0_mean' : BQF0, 'co_0_mean' : CO0, 'bqf_1_mean' : BQF1, 'co_1_mean' : CO1 }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R0, R_ref0, R1, R_ref1)
self._vm.add(ER0, ER_ref0, ER1, ER_ref1, BQF0, CO0, SCO0, BQF1, CO1, SCO1)
return TutoringSystem
class TutoringSystemSRL(TutoringSystemRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f, epsilon_m ])
deltas = np.array([ delta, delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class TutoringSystemBootstrapSRL(TutoringSystemRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f, epsilon_m ])
deltas = np.array([ delta, delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
#################################################################
# Tutoring System (Both Genders, Observed Reference Return) #
#################################################################
def TutoringSystemEmpRLMixin(mode='ttest', scaling=2.0):
class TutoringSystemEmp:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystemEmp._get_return_ranges() not defined')
def _preprocessor(self, data):
T = data['T']
R = data['R']
# Split R and R_ref into two sets based T
R0 = R[np.where(T==0)[0]] / self._iw_type_corrections[0] # Undo any type-based importance weighting
R1 = R[np.where(T==1)[0]] / self._iw_type_corrections[1] # Undo any type-based importance weighting
# Compute type-dependent indicators for positive predictions
return { 'R0' : R0,
'R1' : R1 }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R0 = rvs.BoundedRealSampleSet(name='R0', lower=r_min, upper=r_max)
R1 = rvs.BoundedRealSampleSet(name='R1', lower=r_min, upper=r_max)
ER0 = R0.expected_value('E[R|T=0]', mode=mode)
ER1 = R1.expected_value('E[R|T=1]', mode=mode)
# Constants
eM = rvs.constant(self.epsilons[0], name='eM')
eF = rvs.constant(self.epsilons[1], name='eF')
r_ref0 = rvs.constant(self._ref_return_T0, name='Avg[R_ref|T=0]')
r_ref1 = rvs.constant(self._ref_return_T1, name='Avg[R_ref|T=1]')
# BQF and Constraint Objectives
# g0(theta) := (E[R_ref|T=0] - Average(R|T=0,D) - eM
# g1(theta) := (E[R_ref|T=1] - Average(R|T=1,D) - eF
BQF0 = rvs.sum( r_ref0, -ER0, name='BQF0' )
BQF1 = rvs.sum( r_ref1, -ER1, name='BQF1' )
CO0 = rvs.sum( BQF0, -eM, name='CO0' )
SCO0 = rvs.sum( BQF0, -eM, name='SCO0', scaling=scaling )
CO1 = rvs.sum( BQF1, -eF, name='CO1' )
SCO1 = rvs.sum( BQF1, -eF, name='SCO1', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO0, CO1 ]
self._ccheck_rvs = [ SCO0, SCO1 ]
self._eval_rvs = { 'bqf_0_mean' : BQF0, 'co_0_mean' : CO0, 'bqf_1_mean' : BQF1, 'co_1_mean' : CO1 }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R0, R1)
self._vm.add(ER0, ER1, BQF0, CO0, SCO0, BQF1, CO1, SCO1)
return TutoringSystemEmp
class TutoringSystemEmpSRL(TutoringSystemEmpRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_m, epsilon_f ])
deltas = np.array([ delta, delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
self._ref_return_T0 = ref_return_T0
self._ref_return_T1 = ref_return_T1
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class TutoringSystemBootstrapEmpSRL(TutoringSystemEmpRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_m, epsilon_f ])
deltas = np.array([ delta, delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
self._ref_return_T0 = ref_return_T0
self._ref_return_T1 = ref_return_T1
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
################################################################
# Tutoring System (Females only, Bounded Reference Return) #
################################################################
def TutoringSystemFemaleRLMixin(mode='ttest', scaling=2.0):
class TutoringSystemFemale:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystemFemale._get_return_ranges() not defined')
def _preprocessor(self, data):
T = data['T']
R = data['R']
R_ref = data['R_ref']
# Split R and R_ref into two sets based T
R1 = R[np.where(T==1)[0]] / self._iw_type_corrections[1] # Undo any type-based importance weighting
R_ref1 = R_ref[np.where(T==1)[0]]
# Compute type-dependent indicators for positive predictions
return { 'R1' : R1, 'R_ref1' : R_ref1 }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R1 = rvs.BoundedRealSampleSet(name='R1', lower=r_min, upper=r_max)
ER1 = R1.expected_value('E[R|T=1]', mode=mode)
# Variables for expected return given T under the reference policy
R_ref1 = rvs.BoundedRealSampleSet(name='R_ref1', lower=r_min, upper=r_max)
ER_ref1 = R_ref1.expected_value('E[R_ref|T=1]', mode=mode)
# Constants
e = rvs.constant(self.epsilons[0], name='e')
# BQF and Constraint Objectives
# g(theta) := (E[R_ref|T=1] - E[R|T=1]) - e
BQF = rvs.sum( ER_ref1, -ER1, name='BQF' )
CO = rvs.sum( BQF, -e, name='CO' )
SCO = rvs.sum( BQF, -e, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R1, R_ref1)
self._vm.add(ER1, ER_ref1, BQF, CO, SCO)
return TutoringSystemFemale
class TutoringSystemFemaleSRL(TutoringSystemFemaleRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class TutoringSystemFemaleBootstrapSRL(TutoringSystemFemaleRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f ])
deltas = np.array([ delta ])
self._min_return = min_return
self._max_return = max_return
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
#################################################################
# Tutoring System (Females only, Observed Reference Return) #
#################################################################
def TutoringSystemFemaleEmpRLMixin(mode='ttest', scaling=2.0):
class TutoringSystemFemaleEmp:
def _get_return_ranges(self):
raise NotImplementedError('TutoringSystemFemaleEmp._get_return_ranges() not defined')
def _preprocessor(self, data):
T = data['T']
R = data['R']
# Split R and R_ref into two sets based T
R1 = R[np.where(T==1)[0]] / self._iw_type_corrections[1] # Undo any type-based importance weighting
# Compute type-dependent indicators for positive predictions
return { 'R1' : R1 }
def _make_rvs(self):
r_min, r_max = self._get_return_ranges()
# Variables for expected return given T under the candidate policy
R1 = rvs.BoundedRealSampleSet(name='R1', lower=r_min, upper=r_max)
ER1 = R1.expected_value('E[R|T=1]', mode=mode)
# Constants
e = rvs.constant(self.epsilons[0], name='e')
r_ref1 = rvs.constant(self._ref_return_T1, name='Avg[R_ref|T=1]')
# BQF and Constraint Objectives
# g1(theta) := (E[R_ref|T=1] - E[R|T=1]) - e
BQF = rvs.sum( r_ref1, -ER1, name='BQF' )
CO = rvs.sum( BQF, -e, name='CO' )
SCO = rvs.sum( BQF, -e, name='SCO', scaling=scaling )
# Store the sample sets and variables
self._scheck_rvs = [ CO ]
self._ccheck_rvs = [ SCO ]
self._eval_rvs = { 'bqf_0_mean' : BQF, 'co_0_mean' : CO }
# Add the sample sets and variables to the manager
self._vm = rvs.VariableManager(self._preprocessor)
self._vm.add_sample_set(R1)
self._vm.add(ER1, BQF, CO, SCO)
return TutoringSystemFemaleEmp
class TutoringSystemFemaleEmpSRL(TutoringSystemFemaleEmpRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f ])
deltas = np.array([ delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
self._ref_return_T0 = ref_return_T0
self._ref_return_T1 = ref_return_T1
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
class TutoringSystemFemaleBootstrapEmpSRL(TutoringSystemFemaleEmpRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
def __init__(self, min_return, max_return, ref_return_T0, ref_return_T1, epsilon_f=0.0, epsilon_m=0.0, delta=0.05, model_type='softmax', minimum_return=1, female_iw_correction=1.0, male_iw_correction=1.0):
iw_corrections = {0:male_iw_correction, 1:female_iw_correction}
epsilons = np.array([ epsilon_f ])
deltas = np.array([ delta ]) # Same delta for each constraint
self._min_return = min_return
self._max_return = max_return
self._ref_return_T0 = ref_return_T0
self._ref_return_T1 = ref_return_T1
super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return, iw_type_corrections=iw_corrections)
def _get_return_ranges(self):
return (self._min_return, self._max_return)
##################################################################################
# Credit Score (Combination of GroupFairness and Fairness through Awareness) #
##################################################################################
# def CreditScoreRLMixin(mode='ttest', scaling=2.0):
# class CreditScore:
# def _is_positive(self):
# raise NotImplementedError('GroupFairness._is_positive undefined.')
# def _sample_distance(self, S, T):
# raise NotImplementedError('CreditScore._sample_distance undefined.')
# def _distribution_distance(self, P):
# raise NotImplementedError('CreditScore._distribution_distance undefined.')
# def _preprocessor(self, data):
# P = data['P'][:,0,:]
# A = np.argmax(P,1)
# T = data['T']
# S = data['S']
# # Split Y and Yp into two sets based T
# A0 = A[np.where(T==0)[0]].astype(int)
# A1 = A[np.where(T==1)[0]].astype(int)
# # Compute indicators for "positive" action predictions
# Pos0 = np.array([ self._is_positive(a) for a in A0 ]).astype(np.float)
# Pos1 = np.array([ self._is_positive(a) for a in A1 ]).astype(np.float)
# # Compute indicators for distance violations for FTA
# SampleDist = self._sample_distance(S, T)
# DistrDist = self._distribution_distance(P)
# Viols = np.array(DistrDist > SampleDist).astype(int)
# # print(Viols) #'S', SampleDist, 'P', DistrDist)
# return { 'fta_viols':Viols, 'Pos0':Pos0, 'Pos1':Pos1 }
# def _make_rvs(self):
# # Fairness through awareness
# fta_viols = rvs.BoundedRealSampleSet(name='fta_viols', lower=0, upper=1)
# e0 = rvs.constant(self.epsilons[0], name='e0')
# BQF0 = fta_viols.expected_value(name='BQF0', mode=mode)
# CO0 = rvs.sum( BQF0, -e0, name='CO0' )
# SCO0 = rvs.sum( BQF0, -e0, name='SCO0', scaling=scaling )
# # Group Fairness
# Pos0 = rvs.BoundedRealSampleSet('Pos0', lower=0, upper=1)
# Pos1 = rvs.BoundedRealSampleSet('Pos1', lower=0, upper=1)
# PrPos0 = Pos0.expected_value('Pr(Pos|T=0)', mode=mode)
# PrPos1 = Pos1.expected_value('Pr(Pos|T=1)', mode=mode)
# e1 = rvs.constant(self.epsilons[1], name='e1')
# BQF1 = rvs.abs( PrPos0-PrPos1, name='BQF1' )
# CO1 = rvs.sum( BQF1, -e1, name='CO1' )
# SCO1 = rvs.sum( BQF1, -e1, name='SCO1', scaling=scaling )
# # Store the sample sets and variables
# self._scheck_rvs = [ CO0 , CO1 ]
# self._ccheck_rvs = [ SCO0, SCO1 ]
# self._eval_rvs = { 'bqf_0_mean' : BQF0, 'co_0_mean' : CO0, 'bqf_1_mean' : BQF1, 'co_1_mean' : CO1 }
# # Add the sample sets and variables to the manager
# self._vm = rvs.VariableManager(self._preprocessor)
# self._vm.add_sample_set(fta_viols, Pos0, Pos1)
# self._vm.add(BQF0, CO0, SCO0, BQF1, CO1, SCO1)
# return CreditScore
# class CreditScoreSRL(CreditScoreRLMixin(mode='ttest', scaling=2.0), SeldonianRLBase):
# def __init__(self, is_positivef, sample_distf, prob_distf, epsilon_fta=0.05, epsilon_gf=0.05, delta_fta=0.05, delta_gf=0.05, model_type='softmax', minimum_return=1):
# epsilons = np.array([ epsilon_fta, epsilon_gf ])
# deltas = np.array([ delta_fta, delta_gf ])
# self._sample_distf = sample_distf
# self._prob_distf = prob_distf
# super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
# self._is_positive = is_positivef
# def _sample_distance(self, S, T):
# return self._sample_distf(S,T)
# def _distribution_distance(self, P):
# return self._prob_distf(P)
# class CreditScoreBootstrapSRL(CreditScoreRLMixin(mode='bootstrap', scaling=2.0), SeldonianRLBase):
# def __init__(self, is_positivef, sample_distf, prob_distf, epsilon_fta=0.05, epsilon_gf=0.05, delta_fta=0.05, delta_gf=0.05, model_type='softmax', minimum_return=1):
# epsilons = np.array([ epsilon_fta, epsilon_gf ])
# deltas = np.array([ delta_fta, delta_gf ])
# self._sample_distf = sample_distf
# self._prob_distf = prob_distf
# super().__init__(epsilons, deltas, model_type=model_type, minimum_return=minimum_return)
# self._is_positive = is_positivef
# def _sample_distance(self, S, T):
# return self._sample_distf(S,T)
# def _distribution_distance(self, P):
# return self._prob_distf(P)
| 48.373333
| 206
| 0.695218
| 4,211
| 29,024
| 4.523391
| 0.054381
| 0.02457
| 0.02457
| 0.02016
| 0.880565
| 0.866705
| 0.814889
| 0.798824
| 0.785542
| 0.784597
| 0
| 0.026947
| 0.148463
| 29,024
| 599
| 207
| 48.45409
| 0.743759
| 0.257924
| 0
| 0.752632
| 0
| 0
| 0.060767
| 0.013698
| 0
| 0
| 0
| 0
| 0
| 1
| 0.155263
| false
| 0
| 0.007895
| 0.031579
| 0.297368
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| null | 0
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|
0
| 7
|
584eec996919e801a49905d64bfa68ad64ce2fc3
| 8,598
|
py
|
Python
|
sdfrenderer/renderer/projection.py
|
TRI-ML/sdflabel
|
416c27dbcc6a341c3038783beb46d3f8eccb8177
|
[
"MIT"
] | 105
|
2020-06-18T22:27:18.000Z
|
2022-03-31T13:58:38.000Z
|
sdfrenderer/renderer/projection.py
|
TRI-ML/sdflabel
|
416c27dbcc6a341c3038783beb46d3f8eccb8177
|
[
"MIT"
] | 9
|
2020-07-25T00:08:18.000Z
|
2022-03-29T05:57:52.000Z
|
sdfrenderer/renderer/projection.py
|
TRI-ML/sdflabel
|
416c27dbcc6a341c3038783beb46d3f8eccb8177
|
[
"MIT"
] | 15
|
2020-09-02T06:59:32.000Z
|
2022-03-28T10:11:00.000Z
|
import math
import torch
import numpy as np
from renderer.utils_rasterer import convexHull, sphericalFlip, qrot
def project_in_2D(
K, camera_pose, points, normals, colors, resolution_px, filter_normals=True, filter_hpr=False, output_nocs=True
):
"""
Project all 3D points onto the 2D image of given resolution using DCM rotation matrix
Args:
K (torch.Tensor): Intrinsic camera parameters (3,3)
camera_pose (torch.Tensor): Camera pose as DCM (4,4)
points (torch.Tensor): Object points to project (N,3)
normals (torch.Tensor): Normals per point (N,3)
colors (torch.Tensor): Point colors (N,3)
resolution_px (tuple): Screen resolution
filter_normals (bool): Filter points based on the normals
filter_hpr (bool): Filter points based on the hpr filter
output_nocs (bool): Output NOCS
"""
resolution_x_px, resolution_y_px = resolution_px # image resolution in pixels
# Define precision and device
eps = torch.finfo(K.dtype).eps
device = K.device
dtype = K.dtype
# Ouput dict
output = {}
RT = (camera_pose[:-1, :]).to(device, dtype) # remove homogeneous row
# Correct reference system of extrinsics matrix
# y is down: (to align to the actual pixel coordinates used in digital images)
# right-handed: positive z look-at direction
correction_factor = torch.from_numpy(np.asarray([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]],
dtype=np.float32)).to(device, dtype)
RT = correction_factor @ RT
# Create constant tensor to store 3D model coordinates
ones = torch.ones(points[:, :1].shape).to(device, dtype)
coords_3d_h = torch.cat([points, ones], dim=-1) # n_vertices, 4
coords_3d_h = coords_3d_h.t() # 4, n_vertices
# Project normals
normals_projected = (RT[:, :3] @ normals.t()).t()
# Fake colors: coordinates
# colors = (RT[:, :3] @ mesh.t()).t()
if output_nocs:
colors = points.clone()
colors[:, 0] *= -1
# Project points and filter where normals point away from the camera
coords_projected_3d = (RT @ coords_3d_h).t()
# Filter invisible points
if filter_normals:
dot_prod = torch.bmm(normals_projected.unsqueeze((-2)), coords_projected_3d.unsqueeze(-1)).squeeze(-1)
# Filter where normals point away from the camera
coords_projected_3d_filt = coords_projected_3d.masked_select(dot_prod < 0).view(-1, 3)
colors_filt = colors.masked_select(dot_prod < 0).view(-1, 3)
normals_projected_filt = normals_projected.masked_select(dot_prod < 0).view(-1, 3)
output['points_3d_filt'] = coords_projected_3d_filt
output['normals_3d_filt'] = normals_projected_filt
output['colors_3d_filt'] = colors_filt
if filter_hpr:
# Filter based on HPR operator
C = np.array([[0, 0, 0]]) # center point
coords_projected_3d_numpy = coords_projected_3d.detach().cpu().numpy()
coords_projected_3d_numpy /= coords_projected_3d_numpy.max()
flippedPoints = sphericalFlip(coords_projected_3d_numpy, C, math.pi)
mask_ids = convexHull(flippedPoints).vertices[:-1]
mask = np.zeros_like(coords_projected_3d_numpy[:, 2:])
mask[mask_ids] = 1
mask = torch.BoolTensor(mask).to(device)
coords_projected_3d = coords_projected_3d.masked_select(mask).view(-1, 3)
colors = colors.masked_select(mask).view(-1, 3)
normals_projected = normals_projected.masked_select(mask).view(-1, 3)
# Project 3D vertices into 2D
coords_projected_2d_h = (K @ coords_projected_3d.t()).t()
coords_projected_2d = coords_projected_2d_h[:, :2] / (coords_projected_2d_h[:, 2:] + eps)
# Clip indexes in image range (off by 1 pixel each side to avoid edge issues)
coords_projected_2d_x_clip = torch.clamp(coords_projected_2d[:, 0:1], -1, resolution_x_px)
coords_projected_2d_y_clip = torch.clamp(coords_projected_2d[:, 1:2], -1, resolution_y_px)
# Fill a dictionary
output['points_3d'] = coords_projected_3d
output['normals_3d'] = normals_projected
output['colors_3d'] = colors
output['points_2d'] = torch.cat([coords_projected_2d_x_clip, coords_projected_2d_y_clip], dim=-1)
return output
def project_in_2D_quat(
K, camera_pose, points, normals, colors, resolution_px, filter_normals=False, filter_hpr=False, output_nocs=True
):
"""
Project all 3D points onto the 2D image of given resolution using quaternions
Args:
K (torch.Tensor): Intrinsic camera parameters (3,3)
camera_pose (torch.Tensor): Camera pose as quaternion [:4] and translation vector [4:]
points (torch.Tensor): Object points to project (N,3)
normals (torch.Tensor): Normals per point (N,3)
colors (torch.Tensor): Point colors (N,3)
resolution_px (tuple): Screen resolution
filter_normals (bool): Filter points based on the normals
filter_hpr (bool): Filter points based on the hpr filter
output_nocs (bool): Output NOCS
"""
resolution_x_px, resolution_y_px = resolution_px # image resolution in pixels
# Define precision and device
eps = torch.finfo(K.dtype).eps
device = K.device
dtype = K.dtype
# Ouput dict
output = {}
q = camera_pose[:4]
t = camera_pose[4:]
# Correct reference system of extrinsics matrix
# y is down: (to align to the actual pixel coordinates used in digital images)
# right-handed: positive z look-at direction
correction_factor = torch.from_numpy(np.asarray([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]],
dtype=np.float32)).to(device, dtype)
correction_factor.requires_grad = True
# Project normals
normals_projected = qrot(q.unsqueeze(0).expand([normals.size(0), 4]), normals)
normals_projected = (correction_factor @ normals_projected.t()).t()
# Fake colors: coordinates
# colors = qrot(q.unsqueeze(0).expand([coords.size(0), 4]), coords)
if output_nocs:
colors = points.clone()
# colors[:, 0] *= -1
# Project points
coords_rotated_3d_quat = qrot(q.unsqueeze(0).expand([points.size(0), 4]), points)
corrT = correction_factor @ torch.cat([torch.eye(3).to(device, dtype), t.unsqueeze(-1)], dim=-1)
coords_projected_3d = (
corrT
@ torch.cat([coords_rotated_3d_quat, torch.ones(points[:, :1].shape).to(device, dtype)], dim=-1).t()
).t()
# Filter invisible points
if filter_normals:
dot_prod = torch.bmm(normals_projected.unsqueeze((-2)), coords_projected_3d.unsqueeze(-1)).squeeze(-1)
# Filter where normals point away from the camera
coords_projected_3d_filt = coords_projected_3d.masked_select(dot_prod < 0).view(-1, 3)
colors_filt = colors.masked_select(dot_prod < 0).view(-1, 3)
normals_projected_filt = normals_projected.masked_select(dot_prod < 0).view(-1, 3)
output['points_3d_filt'] = coords_projected_3d_filt
output['normals_3d_filt'] = normals_projected_filt
output['colors_3d_filt'] = colors_filt
elif filter_hpr:
# Filter based on HPR operator
C = np.array([[0, 0, 0]]) # center point
coords_projected_3d_numpy = coords_projected_3d.detach().cpu().numpy()
flippedPoints = sphericalFlip(coords_projected_3d_numpy, C, math.pi)
mask_ids = convexHull(flippedPoints).vertices[:-1]
mask = np.zeros_like(coords_projected_3d_numpy[:, 2:])
mask[mask_ids] = 1
mask = torch.BoolTensor(mask).to(device)
coords_projected_3d = coords_projected_3d.masked_select(mask).view(-1, 3)
colors = colors.masked_select(mask).view(-1, 3)
normals_projected = normals_projected.masked_select(mask).view(-1, 3)
# Project 3D vertices into 2D
coords_projected_2d_h = (K @ coords_projected_3d.t()).t()
coords_projected_2d = coords_projected_2d_h[:, :2] / (coords_projected_2d_h[:, 2:] + eps)
# Clip indexes in image range (off by 1 pixel each side to avoid edge issues)
coords_projected_2d_x_clip = torch.clamp(coords_projected_2d[:, 0:1], -1, resolution_x_px)
coords_projected_2d_y_clip = torch.clamp(coords_projected_2d[:, 1:2], -1, resolution_y_px)
# Fill a dictionary
output['points_3d'] = coords_projected_3d
output['normals_3d'] = normals_projected
output['colors_3d'] = colors
output['points_2d'] = torch.cat([coords_projected_2d_x_clip, coords_projected_2d_y_clip], dim=-1)
return output
| 42.99
| 116
| 0.672249
| 1,198
| 8,598
| 4.590985
| 0.145242
| 0.130909
| 0.086545
| 0.032
| 0.857455
| 0.845091
| 0.834545
| 0.827455
| 0.815091
| 0.815091
| 0
| 0.031028
| 0.21284
| 8,598
| 199
| 117
| 43.20603
| 0.781619
| 0.289719
| 0
| 0.711538
| 0
| 0
| 0.026855
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.019231
| false
| 0
| 0.038462
| 0
| 0.076923
| 0
| 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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| 0
| 1
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
587b250e57acbae198b2b012518b92ffa231c1da
| 6,625
|
py
|
Python
|
genQues/views.py
|
aotella/calcoff_backend
|
7f25ff494ea2e1e4119fe7450d805c986fa77f0c
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
genQues/views.py
|
aotella/calcoff_backend
|
7f25ff494ea2e1e4119fe7450d805c986fa77f0c
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
genQues/views.py
|
aotella/calcoff_backend
|
7f25ff494ea2e1e4119fe7450d805c986fa77f0c
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
import requests
import responses
import json
import datetime
from APIv1 import genQuestion, getQuestion, getRanking, submitRanking, apiPassword, deleteRanking, topRanking, leaderboard, testingAPI
# Create your views here.
class getRankApi(APIView):
def post(self,request,format=None):
returnData = getRanking.rankingFunction(request.data)
if returnData != '400':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
else :
return Response(returnData, status = status.HTTP_400_BAD_REQUEST)
class submitRankApi(APIView):
def post(self, request, format=None):
returnData = submitRanking.submitRank(request.data)
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class genQuesAPIForTomorrow(APIView):
def post(self, request, format=None):
returnData = genQuestion.quesSetForTomorrow(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '202-1':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
elif returnData == '202-2':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
elif returnData == '400':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
class genQuesAPIForToday(APIView):
def post(self, request, format=None):
returnData = genQuestion.quesSetForToday(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '202-1':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
elif returnData == '202-2':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
elif returnData == '400':
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
class getQuesApi2(APIView):
def post(self, request, format=None):
returnData = getQuestion.getQuestionSetv2(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '400-1':
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class DeleteQues(APIView):
def post(self, request, format=None):
returnData = genQuestion.deleteQuestion(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '404-2':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class FetchServerTime(APIView):
def post(self, request, format=None):
returnData = (int(datetime.datetime.today().strftime('%s')))
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class SetApiPassword(APIView):
def post(self, request, format=None):
returnData = apiPassword.setPassword(request.data)
if returnData == '400':
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class ModifyApiPassword(APIView):
def post(self, request, format=None):
returnData = apiPassword.modifyPassword(request.data)
if returnData == '404-2':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class DeleteRankingAPI(APIView):
def post(self, request, format=None):
returnData = deleteRanking.deletePreviousRank(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '404-2':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '409-1':
return Response(returnData, status=status.HTTP_409_CONFLICT)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class Top10RankingAPI(APIView):
def post(self, request, format=None):
returnData = topRanking.topTenRanking(request.data)
if returnData == '404-1':
return Response(returnData, status=status.HTTP_404_NOT_FOUND)
elif returnData == '400-1':
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
elif returnData == '202-1':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
else:
return Response(returnData, status=status.HTTP_202_ACCEPTED)
class LeaderBoardAPI(APIView):
def post(self,request, format = None):
returnData = leaderboard.getLeaderboard()
if returnData != '400':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
else:
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
class GetRankingV1(APIView):
def post(self,request, format = None):
returnData = getRanking.rankingFunctionv_1(request.data)
if returnData != '400':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
else:
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
class TestSubmiScoreAPI(APIView):
def post(self,request, format = None):
returnData = testingAPI.testSubmitScore(request.data)
if returnData != '400':
return Response(returnData, status=status.HTTP_202_ACCEPTED)
else:
return Response(returnData, status=status.HTTP_400_BAD_REQUEST)
| 33.80102
| 134
| 0.684528
| 720
| 6,625
| 6.151389
| 0.116667
| 0.132761
| 0.227591
| 0.284489
| 0.812373
| 0.809438
| 0.809438
| 0.809438
| 0.738316
| 0.624972
| 0
| 0.047804
| 0.223245
| 6,625
| 195
| 135
| 33.974359
| 0.812864
| 0.003472
| 0
| 0.706767
| 0
| 0
| 0.020912
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.105263
| false
| 0.037594
| 0.067669
| 0
| 0.593985
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 10
|
5457723508a9ce3f330af767ebaf9eda9b6c8e85
| 2,516
|
py
|
Python
|
tests/test_dempster_shafer.py
|
brandongk-ubco/ensembler
|
9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d
|
[
"MIT"
] | null | null | null |
tests/test_dempster_shafer.py
|
brandongk-ubco/ensembler
|
9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d
|
[
"MIT"
] | null | null | null |
tests/test_dempster_shafer.py
|
brandongk-ubco/ensembler
|
9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d
|
[
"MIT"
] | null | null | null |
from ensembler.aggregators.DempsterSafer import ds_combination
import torch
class TestDempsterShafer:
def test_ds_combination_all_agree(self):
a = torch.FloatTensor([0, 1, 0])
b = torch.FloatTensor([0, 1, 0])
result = ds_combination(a, b)
expected = torch.FloatTensor([0, 1, 0])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_all_disagree(self):
a = torch.FloatTensor([0, 1, 0])
b = torch.FloatTensor([1, 0, 0])
result = ds_combination(a, b)
expected = torch.FloatTensor([0, 0, 0])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_uncertainty_in_two(self):
a = torch.FloatTensor([0.5, 0.5, 0])
b = torch.FloatTensor([0.5, 0.5, 0])
result = ds_combination(a, b)
expected = torch.FloatTensor([0.5, 0.5, 0])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_all_different_uncertainty_in_two(self):
a = torch.FloatTensor([0.3, 0.7, 0])
b = torch.FloatTensor([0.7, 0.3, 0])
result = ds_combination(a, b)
expected = torch.FloatTensor([0.5, 0.5, 0])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_all_different_uncertainty_in_two_1(self):
a = torch.FloatTensor([0.3, 0.7, 0])
b = torch.FloatTensor([0, 0.7, 0.3])
result = ds_combination(a, b)
expected = torch.FloatTensor([0, 1, 0])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_all_different_uncertainty_in_two_2(self):
a = torch.FloatTensor([0.3, 0.6, 0.1])
b = torch.FloatTensor([0.1, 0.6, 0.3])
result = ds_combination(a, b)
expected = torch.FloatTensor([0.0714, 0.8571, 0.0714])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
def test_ds_combination_example_from_slide(self):
a = torch.FloatTensor([0.35, 0.06, 0.35, 0.24])
b = torch.FloatTensor([0.10, 0.44, 0.40, 0.06])
result = ds_combination(a, b)
expected = torch.FloatTensor([0.1622, 0.1223, 0.6487, 0.0667])
eps = 1e-4
diff = torch.abs(result - expected)
assert torch.max(diff) <= eps
| 35.942857
| 70
| 0.596184
| 365
| 2,516
| 3.975342
| 0.145205
| 0.231564
| 0.234321
| 0.096485
| 0.858029
| 0.826327
| 0.811165
| 0.778084
| 0.751895
| 0.720193
| 0
| 0.08026
| 0.267091
| 2,516
| 69
| 71
| 36.463768
| 0.706616
| 0
| 0
| 0.610169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 1
| 0.118644
| false
| 0
| 0.033898
| 0
| 0.169492
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 8
|
546cc5296dca4ec6e839de58e49e8b0c0ad39a6b
| 1,991
|
py
|
Python
|
Server/utils/extension_meta.py
|
DSM-DMS/DMS-Backend-API-v2
|
dfb49879ce81d7a3c1c4cda47b1de150f245cd86
|
[
"MIT"
] | null | null | null |
Server/utils/extension_meta.py
|
DSM-DMS/DMS-Backend-API-v2
|
dfb49879ce81d7a3c1c4cda47b1de150f245cd86
|
[
"MIT"
] | 1
|
2018-02-22T01:18:55.000Z
|
2018-02-22T01:18:55.000Z
|
Server/utils/extension_meta.py
|
DSM-DMS/DMS-Backend-API-v2
|
dfb49879ce81d7a3c1c4cda47b1de150f245cd86
|
[
"MIT"
] | null | null | null |
from datetime import time
APPLY_START = time(17, 30)
APPLY_END_11 = time(20, 30)
APPLY_END_12 = time(22, 0)
MAPS = {
1: [
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1],
[1, 1, 0, 1, 1]
],
2: [
[1, 0, 1, 0, 1, 0, 1],
[1, 0, 1, 0, 1, 0, 1],
[1, 0, 1, 0, 1, 0, 1],
[1, 0, 0, 1, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 1],
[0, 0, 1, 1, 1, 0, 0]
],
3: [
[1, 1, 1, 1],
[1, 1, 1, 1],
[1, 1, 1, 1],
[1, 1, 1, 1],
[1, 1, 1, 1],
],
4: [
[1, 1, 0, 0, 1, 1],
[1, 1, 0, 0, 1, 1],
[0, 0, 1, 1, 0, 0],
[0, 0, 1, 1, 0, 0],
[1, 1, 0, 0, 1, 1],
[1, 1, 0, 0, 1, 1]
],
5: [
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0]
],
6: [
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0],
[1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0]
],
7: [
[1, 1, 1, 0, 1, 1, 0, 1, 1, 1],
[1, 1, 1, 0, 1, 1, 0, 1, 1, 1],
[0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
[1, 1, 1, 0, 1, 1, 0, 1, 1, 1],
[1, 1, 1, 0, 1, 1, 0, 1, 1, 1],
[0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 1, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0, 0, 0]
]
}
| 27.652778
| 45
| 0.259166
| 454
| 1,991
| 1.125551
| 0.048458
| 0.516634
| 0.493151
| 0.516634
| 0.833659
| 0.833659
| 0.833659
| 0.816047
| 0.81409
| 0.796478
| 0
| 0.415814
| 0.46007
| 1,991
| 71
| 46
| 28.042254
| 0.059535
| 0
| 0
| 0.681159
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.014493
| 0
| 0.014493
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 12
|
54873a60003e82a74f2f503482cde88c245525c2
| 41
|
py
|
Python
|
application/services/fake_service.py
|
raphaelbh/python-web-template
|
b977a5b78b5546fa0013fe144d71497ff5f5c551
|
[
"MIT"
] | 1
|
2022-02-14T19:52:41.000Z
|
2022-02-14T19:52:41.000Z
|
application/services/fake_service.py
|
raphaelbh/python-web-template
|
b977a5b78b5546fa0013fe144d71497ff5f5c551
|
[
"MIT"
] | null | null | null |
application/services/fake_service.py
|
raphaelbh/python-web-template
|
b977a5b78b5546fa0013fe144d71497ff5f5c551
|
[
"MIT"
] | null | null | null |
def execute():
return "fake content"
| 20.5
| 25
| 0.658537
| 5
| 41
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.219512
| 41
| 2
| 25
| 20.5
| 0.84375
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
b716a34e98645a22e8d750a6c3e8ec16fa3bc183
| 158,727
|
py
|
Python
|
sdk/purview/azure-purview-scanning/azure/purview/scanning/aio/operations/_operations.py
|
praveenkuttappan/azure-sdk-for-python
|
4b79413667b7539750a6c7dde15737013a3d4bd5
|
[
"MIT"
] | 2,728
|
2015-01-09T10:19:32.000Z
|
2022-03-31T14:50:33.000Z
|
sdk/purview/azure-purview-scanning/azure/purview/scanning/aio/operations/_operations.py
|
v-xuto/azure-sdk-for-python
|
9c6296d22094c5ede410bc83749e8df8694ccacc
|
[
"MIT"
] | 17,773
|
2015-01-05T15:57:17.000Z
|
2022-03-31T23:50:25.000Z
|
sdk/purview/azure-purview-scanning/azure/purview/scanning/aio/operations/_operations.py
|
v-xuto/azure-sdk-for-python
|
9c6296d22094c5ede410bc83749e8df8694ccacc
|
[
"MIT"
] | 1,916
|
2015-01-19T05:05:41.000Z
|
2022-03-31T19:36:44.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import functools
from json import loads as _loads
from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar, Union
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.tracing.decorator_async import distributed_trace_async
from ..._vendor import _convert_request
from ...operations._operations import build_classification_rules_create_or_update_request, build_classification_rules_delete_request, build_classification_rules_get_request, build_classification_rules_list_all_request, build_classification_rules_list_versions_by_classification_rule_name_request, build_classification_rules_tag_classification_version_request, build_data_sources_create_or_update_request, build_data_sources_delete_request, build_data_sources_get_request, build_data_sources_list_all_request, build_filters_create_or_update_request, build_filters_get_request, build_key_vault_connections_create_request, build_key_vault_connections_delete_request, build_key_vault_connections_get_request, build_key_vault_connections_list_all_request, build_scan_result_cancel_scan_request, build_scan_result_list_scan_history_request, build_scan_result_run_scan_request, build_scan_rulesets_create_or_update_request, build_scan_rulesets_delete_request, build_scan_rulesets_get_request, build_scan_rulesets_list_all_request, build_scans_create_or_update_request, build_scans_delete_request, build_scans_get_request, build_scans_list_by_data_source_request, build_system_scan_rulesets_get_by_version_request, build_system_scan_rulesets_get_latest_request, build_system_scan_rulesets_get_request, build_system_scan_rulesets_list_all_request, build_system_scan_rulesets_list_versions_by_data_source_request, build_triggers_create_trigger_request, build_triggers_delete_trigger_request, build_triggers_get_trigger_request
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
class KeyVaultConnectionsOperations:
"""KeyVaultConnectionsOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def get(
self,
key_vault_name: str,
**kwargs: Any
) -> Any:
"""Gets key vault information.
:param key_vault_name:
:type key_vault_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"baseUrl": "str", # Optional.
"description": "str" # Optional.
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_key_vault_connections_get_request(
key_vault_name=key_vault_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/azureKeyVaults/{keyVaultName}'} # type: ignore
@distributed_trace_async
async def create(
self,
key_vault_name: str,
body: Any,
**kwargs: Any
) -> Any:
"""Creates an instance of a key vault connection.
:param key_vault_name:
:type key_vault_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"baseUrl": "str", # Optional.
"description": "str" # Optional.
}
}
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"baseUrl": "str", # Optional.
"description": "str" # Optional.
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
json = body
request = build_key_vault_connections_create_request(
key_vault_name=key_vault_name,
content_type=content_type,
json=json,
template_url=self.create.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create.metadata = {'url': '/azureKeyVaults/{keyVaultName}'} # type: ignore
@distributed_trace_async
async def delete(
self,
key_vault_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes the key vault connection associated with the account.
:param key_vault_name:
:type key_vault_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"baseUrl": "str", # Optional.
"description": "str" # Optional.
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_key_vault_connections_delete_request(
key_vault_name=key_vault_name,
template_url=self.delete.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete.metadata = {'url': '/azureKeyVaults/{keyVaultName}'} # type: ignore
@distributed_trace
def list_all(
self,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List key vault connections in account.
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"baseUrl": "str", # Optional.
"description": "str" # Optional.
}
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_key_vault_connections_list_all_request(
template_url=self.list_all.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_key_vault_connections_list_all_request(
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_all.metadata = {'url': '/azureKeyVaults'} # type: ignore
class ClassificationRulesOperations:
"""ClassificationRulesOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def get(
self,
classification_rule_name: str,
**kwargs: Any
) -> Any:
"""Get a classification rule.
:param classification_rule_name:
:type classification_rule_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_classification_rules_get_request(
classification_rule_name=classification_rule_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/classificationrules/{classificationRuleName}'} # type: ignore
@distributed_trace_async
async def create_or_update(
self,
classification_rule_name: str,
body: Any = None,
**kwargs: Any
) -> Any:
"""Creates or Updates a classification rule.
:param classification_rule_name:
:type classification_rule_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
kind = 'CustomClassificationRule' or 'SystemClassificationRule'
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
if body is not None:
json = body
else:
json = None
request = build_classification_rules_create_or_update_request(
classification_rule_name=classification_rule_name,
content_type=content_type,
json=json,
template_url=self.create_or_update.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/classificationrules/{classificationRuleName}'} # type: ignore
@distributed_trace_async
async def delete(
self,
classification_rule_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes a classification rule.
:param classification_rule_name:
:type classification_rule_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_classification_rules_delete_request(
classification_rule_name=classification_rule_name,
template_url=self.delete.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete.metadata = {'url': '/classificationrules/{classificationRuleName}'} # type: ignore
@distributed_trace
def list_all(
self,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List classification rules in Account.
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_classification_rules_list_all_request(
template_url=self.list_all.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_classification_rules_list_all_request(
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_all.metadata = {'url': '/classificationrules'} # type: ignore
@distributed_trace
def list_versions_by_classification_rule_name(
self,
classification_rule_name: str,
**kwargs: Any
) -> AsyncIterable[Any]:
"""Lists the rule versions of a classification rule.
:param classification_rule_name:
:type classification_rule_name: str
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
kind: ClassificationRule
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_classification_rules_list_versions_by_classification_rule_name_request(
classification_rule_name=classification_rule_name,
template_url=self.list_versions_by_classification_rule_name.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_classification_rules_list_versions_by_classification_rule_name_request(
classification_rule_name=classification_rule_name,
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_versions_by_classification_rule_name.metadata = {'url': '/classificationrules/{classificationRuleName}/versions'} # type: ignore
@distributed_trace_async
async def tag_classification_version(
self,
classification_rule_name: str,
classification_rule_version: int,
*,
action: str,
**kwargs: Any
) -> Any:
"""Sets Classification Action on a specific classification rule version.
:param classification_rule_name:
:type classification_rule_name: str
:param classification_rule_version:
:type classification_rule_version: int
:keyword action: Possible values are: "Keep" or "Delete".
:paramtype action: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 202
response.json() == {
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"scanResultId": str, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional. Possible values include: "Accepted", "InProgress", "TransientFailure", "Succeeded", "Failed", "Canceled".
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_classification_rules_tag_classification_version_request(
classification_rule_name=classification_rule_name,
classification_rule_version=classification_rule_version,
action=action,
template_url=self.tag_classification_version.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
tag_classification_version.metadata = {'url': '/classificationrules/{classificationRuleName}/versions/{classificationRuleVersion}/:tag'} # type: ignore
class DataSourcesOperations:
"""DataSourcesOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def create_or_update(
self,
data_source_name: str,
body: Any = None,
**kwargs: Any
) -> Any:
"""Creates or Updates a data source.
:param data_source_name:
:type data_source_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
kind = 'AdlsGen1DataSource' or 'AdlsGen2DataSource' or 'AmazonAccountDataSource' or 'AmazonPostgreSqlDataSource' or 'AmazonS3DataSource' or 'AmazonSqlDataSource' or 'AzureCosmosDbDataSource' or 'AzureDataExplorerDataSource' or 'AzureFileServiceDataSource' or 'AzureMySqlDataSource' or 'AzurePostgreSqlDataSource' or 'AzureResourceGroupDataSource' or 'AzureSqlDataWarehouseDataSource' or 'AzureSqlDatabaseDataSource' or 'AzureSqlDatabaseManagedInstanceDataSource' or 'AzureStorageDataSource' or 'AzureSubscriptionDataSource' or 'AzureSynapseDataSource' or 'AzureSynapseWorkspaceDataSource' or 'OracleDataSource' or 'PowerBIDataSource' or 'SapEccDataSource' or 'SapS4HanaDataSource' or 'SqlServerDatabaseDataSource' or 'TeradataDataSource'
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"scans": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
],
kind: DataSource
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scans": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
],
kind: DataSource
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
if body is not None:
json = body
else:
json = None
request = build_data_sources_create_or_update_request(
data_source_name=data_source_name,
content_type=content_type,
json=json,
template_url=self.create_or_update.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/datasources/{dataSourceName}'} # type: ignore
@distributed_trace_async
async def get(
self,
data_source_name: str,
**kwargs: Any
) -> Any:
"""Get a data source.
:param data_source_name:
:type data_source_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scans": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
],
kind: DataSource
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_data_sources_get_request(
data_source_name=data_source_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/datasources/{dataSourceName}'} # type: ignore
@distributed_trace_async
async def delete(
self,
data_source_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes a data source.
:param data_source_name:
:type data_source_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scans": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
],
kind: DataSource
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_data_sources_delete_request(
data_source_name=data_source_name,
template_url=self.delete.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete.metadata = {'url': '/datasources/{dataSourceName}'} # type: ignore
@distributed_trace
def list_all(
self,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List data sources in Data catalog.
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scans": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
],
kind: DataSource
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_data_sources_list_all_request(
template_url=self.list_all.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_data_sources_list_all_request(
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_all.metadata = {'url': '/datasources'} # type: ignore
class FiltersOperations:
"""FiltersOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def get(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> Any:
"""Get a filter.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"excludeUriPrefixes": [
"str" # Optional.
],
"includeUriPrefixes": [
"str" # Optional.
]
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_filters_get_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/filters/custom'} # type: ignore
@distributed_trace_async
async def create_or_update(
self,
data_source_name: str,
scan_name: str,
body: Any = None,
**kwargs: Any
) -> Any:
"""Creates or updates a filter.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"excludeUriPrefixes": [
"str" # Optional.
],
"includeUriPrefixes": [
"str" # Optional.
]
}
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"excludeUriPrefixes": [
"str" # Optional.
],
"includeUriPrefixes": [
"str" # Optional.
]
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
if body is not None:
json = body
else:
json = None
request = build_filters_create_or_update_request(
data_source_name=data_source_name,
scan_name=scan_name,
content_type=content_type,
json=json,
template_url=self.create_or_update.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/filters/custom'} # type: ignore
class ScansOperations:
"""ScansOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def create_or_update(
self,
data_source_name: str,
scan_name: str,
body: Any,
**kwargs: Any
) -> Any:
"""Creates an instance of a scan.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
kind = 'AdlsGen1CredentialScan' or 'AdlsGen1MsiScan' or 'AdlsGen2CredentialScan' or 'AdlsGen2MsiScan' or 'AmazonAccountCredentialScan' or 'AmazonPostgreSqlCredentialScan' or 'AmazonS3CredentialScan' or 'AmazonS3RoleARNScan' or 'AmazonSqlCredentialScan' or 'AzureCosmosDbCredentialScan' or 'AzureDataExplorerCredentialScan' or 'AzureDataExplorerMsiScan' or 'AzureFileServiceCredentialScan' or 'AzureMySqlCredentialScan' or 'AzurePostgreSqlCredentialScan' or 'AzureResourceGroupCredentialScan' or 'AzureResourceGroupMsiScan' or 'AzureSqlDataWarehouseCredentialScan' or 'AzureSqlDataWarehouseMsiScan' or 'AzureSqlDatabaseCredentialScan' or 'AzureSqlDatabaseManagedInstanceCredentialScan' or 'AzureSqlDatabaseManagedInstanceMsiScan' or 'AzureSqlDatabaseMsiScan' or 'AzureStorageCredentialScan' or 'AzureStorageMsiScan' or 'AzureSubscriptionCredentialScan' or 'AzureSubscriptionMsiScan' or 'AzureSynapseCredentialScan' or 'AzureSynapseMsiScan' or 'AzureSynapseWorkspaceCredentialScan' or 'AzureSynapseWorkspaceMsiScan' or 'OracleCredentialScan' or 'OracleUserPassScan' or 'PowerBIDelegatedScan' or 'PowerBIMsiScan' or 'SapEccCredentialScan' or 'SapEccUserPassScan' or 'SapS4HanaSapS4HanaCredentialScan' or 'SapS4HanaSapS4HanaUserPassScan' or 'SqlServerDatabaseCredentialScan' or 'TeradataCredentialScan' or 'TeradataUserPassScanAutoGenerated' or 'TeradataUserPassScan'
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
json = body
request = build_scans_create_or_update_request(
data_source_name=data_source_name,
scan_name=scan_name,
content_type=content_type,
json=json,
template_url=self.create_or_update.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}'} # type: ignore
@distributed_trace_async
async def get(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> Any:
"""Gets a scan information.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scans_get_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}'} # type: ignore
@distributed_trace_async
async def delete(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes the scan associated with the data source.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scans_delete_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.delete.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}'} # type: ignore
@distributed_trace
def list_by_data_source(
self,
data_source_name: str,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List scans in data source.
:param data_source_name:
:type data_source_name: str
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanResults": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
],
kind: Scan
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_scans_list_by_data_source_request(
data_source_name=data_source_name,
template_url=self.list_by_data_source.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_scans_list_by_data_source_request(
data_source_name=data_source_name,
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_by_data_source.metadata = {'url': '/datasources/{dataSourceName}/scans'} # type: ignore
class ScanResultOperations:
"""ScanResultOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def run_scan(
self,
data_source_name: str,
scan_name: str,
run_id: str,
*,
scan_level: Optional[str] = None,
**kwargs: Any
) -> Any:
"""Runs the scan.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:param run_id:
:type run_id: str
:keyword scan_level: Possible values are: "Full" or "Incremental".
:paramtype scan_level: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 202
response.json() == {
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"scanResultId": str, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional. Possible values include: "Accepted", "InProgress", "TransientFailure", "Succeeded", "Failed", "Canceled".
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scan_result_run_scan_request(
data_source_name=data_source_name,
scan_name=scan_name,
run_id=run_id,
scan_level=scan_level,
template_url=self.run_scan.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
run_scan.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/runs/{runId}'} # type: ignore
@distributed_trace_async
async def cancel_scan(
self,
data_source_name: str,
scan_name: str,
run_id: str,
**kwargs: Any
) -> Any:
"""Cancels a scan.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:param run_id:
:type run_id: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 202
response.json() == {
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"scanResultId": str, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional. Possible values include: "Accepted", "InProgress", "TransientFailure", "Succeeded", "Failed", "Canceled".
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scan_result_cancel_scan_request(
data_source_name=data_source_name,
scan_name=scan_name,
run_id=run_id,
template_url=self.cancel_scan.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
cancel_scan.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/runs/{runId}/:cancel'} # type: ignore
@distributed_trace
def list_scan_history(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> AsyncIterable[Any]:
"""Lists the scan history of a scan.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"assetsClassified": 0.0, # Optional.
"assetsDiscovered": 0.0, # Optional.
"dataSourceType": "str", # Optional. Possible values include: "None", "AzureSubscription", "AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2", "AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer", "AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql", "SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql", "AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", "PowerBI".
"diagnostics": {
"exceptionCountMap": {
"str": 0 # Optional. Dictionary of :code:`<integer>`.
},
"notifications": [
{
"code": 0, # Optional.
"message": "str" # Optional.
}
]
},
"endTime": "2020-02-20 00:00:00", # Optional.
"error": {
"code": "str", # Optional.
"details": [
{
"code": "str", # Optional.
"details": [
...
],
"message": "str", # Optional.
"target": "str" # Optional.
}
],
"message": "str", # Optional.
"target": "str" # Optional.
},
"errorMessage": "str", # Optional.
"id": "str", # Optional.
"parentId": "str", # Optional.
"pipelineStartTime": "2020-02-20 00:00:00", # Optional.
"queuedTime": "2020-02-20 00:00:00", # Optional.
"resourceId": "str", # Optional.
"runType": "str", # Optional.
"scanLevelType": "str", # Optional. Possible values include: "Full", "Incremental".
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"scanRulesetVersion": 0, # Optional.
"startTime": "2020-02-20 00:00:00", # Optional.
"status": "str" # Optional.
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_scan_result_list_scan_history_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.list_scan_history.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_scan_result_list_scan_history_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_scan_history.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/runs'} # type: ignore
class ScanRulesetsOperations:
"""ScanRulesetsOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def get(
self,
scan_ruleset_name: str,
**kwargs: Any
) -> Any:
"""Get a scan ruleset.
:param scan_ruleset_name:
:type scan_ruleset_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: ScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scan_rulesets_get_request(
scan_ruleset_name=scan_ruleset_name,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/scanrulesets/{scanRulesetName}'} # type: ignore
@distributed_trace_async
async def create_or_update(
self,
scan_ruleset_name: str,
body: Any = None,
**kwargs: Any
) -> Any:
"""Creates or Updates a scan ruleset.
:param scan_ruleset_name:
:type scan_ruleset_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
kind = 'AdlsGen1ScanRuleset' or 'AdlsGen2ScanRuleset' or 'AmazonAccountScanRuleset' or 'AmazonPostgreSqlScanRuleset' or 'AmazonS3ScanRuleset' or 'AmazonSqlScanRuleset' or 'AzureCosmosDbScanRuleset' or 'AzureDataExplorerScanRuleset' or 'AzureFileServiceScanRuleset' or 'AzureMySqlScanRuleset' or 'AzurePostgreSqlScanRuleset' or 'AzureResourceGroupScanRuleset' or 'AzureSqlDataWarehouseScanRuleset' or 'AzureSqlDatabaseScanRuleset' or 'AzureSqlDatabaseManagedInstanceScanRuleset' or 'AzureStorageScanRuleset' or 'AzureSubscriptionScanRuleset' or 'AzureSynapseScanRuleset' or 'AzureSynapseWorkspaceScanRuleset' or 'OracleScanRuleset' or 'PowerBIScanRuleset' or 'SapEccScanRuleset' or 'SapS4HanaScanRuleset' or 'SqlServerDatabaseScanRuleset' or 'TeradataScanRuleset'
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: ScanRuleset
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: ScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
if body is not None:
json = body
else:
json = None
request = build_scan_rulesets_create_or_update_request(
scan_ruleset_name=scan_ruleset_name,
content_type=content_type,
json=json,
template_url=self.create_or_update.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/scanrulesets/{scanRulesetName}'} # type: ignore
@distributed_trace_async
async def delete(
self,
scan_ruleset_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes a scan ruleset.
:param scan_ruleset_name:
:type scan_ruleset_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: ScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_scan_rulesets_delete_request(
scan_ruleset_name=scan_ruleset_name,
template_url=self.delete.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete.metadata = {'url': '/scanrulesets/{scanRulesetName}'} # type: ignore
@distributed_trace
def list_all(
self,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List scan rulesets in Data catalog.
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: ScanRuleset
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_scan_rulesets_list_all_request(
template_url=self.list_all.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_scan_rulesets_list_all_request(
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_all.metadata = {'url': '/scanrulesets'} # type: ignore
class SystemScanRulesetsOperations:
"""SystemScanRulesetsOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace
def list_all(
self,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List all system scan rulesets for an account.
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: SystemScanRuleset
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_system_scan_rulesets_list_all_request(
template_url=self.list_all.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_system_scan_rulesets_list_all_request(
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_all.metadata = {'url': '/systemScanRulesets'} # type: ignore
@distributed_trace_async
async def get(
self,
data_source_type: str,
**kwargs: Any
) -> Any:
"""Get a system scan ruleset for a data source.
:param data_source_type: Possible values are: "None", "AzureSubscription",
"AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2",
"AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer",
"AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql",
"SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql",
"AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", and "PowerBI".
:type data_source_type: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: SystemScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_system_scan_rulesets_get_request(
data_source_type=data_source_type,
template_url=self.get.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/systemScanRulesets/datasources/{dataSourceType}'} # type: ignore
@distributed_trace_async
async def get_by_version(
self,
version: int,
*,
data_source_type: Optional[str] = None,
**kwargs: Any
) -> Any:
"""Get a scan ruleset by version.
:param version:
:type version: int
:keyword data_source_type: Possible values are: "None", "AzureSubscription",
"AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2",
"AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer",
"AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql",
"SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql",
"AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", and "PowerBI".
:paramtype data_source_type: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: SystemScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_system_scan_rulesets_get_by_version_request(
version=version,
data_source_type=data_source_type,
template_url=self.get_by_version.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_by_version.metadata = {'url': '/systemScanRulesets/versions/{version}'} # type: ignore
@distributed_trace_async
async def get_latest(
self,
*,
data_source_type: Optional[str] = None,
**kwargs: Any
) -> Any:
"""Get the latest version of a system scan ruleset.
:keyword data_source_type: Possible values are: "None", "AzureSubscription",
"AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2",
"AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer",
"AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql",
"SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql",
"AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", and "PowerBI".
:paramtype data_source_type: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: SystemScanRuleset
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_system_scan_rulesets_get_latest_request(
data_source_type=data_source_type,
template_url=self.get_latest.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_latest.metadata = {'url': '/systemScanRulesets/versions/latest'} # type: ignore
@distributed_trace
def list_versions_by_data_source(
self,
*,
data_source_type: Optional[str] = None,
**kwargs: Any
) -> AsyncIterable[Any]:
"""List system scan ruleset versions in Data catalog.
:keyword data_source_type: Possible values are: "None", "AzureSubscription",
"AzureResourceGroup", "AzureSynapseWorkspace", "AzureSynapse", "AdlsGen1", "AdlsGen2",
"AmazonAccount", "AmazonS3", "AmazonSql", "AzureCosmosDb", "AzureDataExplorer",
"AzureFileService", "AzureSqlDatabase", "AmazonPostgreSql", "AzurePostgreSql",
"SqlServerDatabase", "AzureSqlDatabaseManagedInstance", "AzureSqlDataWarehouse", "AzureMySql",
"AzureStorage", "Teradata", "Oracle", "SapS4Hana", "SapEcc", and "PowerBI".
:paramtype data_source_type: str
:return: An iterator like instance of JSON object
:rtype: ~azure.core.async_paging.AsyncItemPaged[Any]
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"count": 0.0, # Optional.
"nextLink": "str", # Optional.
"value": [
{
"id": "str", # Optional.
"name": "str", # Optional.
"scanRulesetType": "str", # Optional. Possible values include: "Custom", "System".
"status": "str", # Optional. Possible values include: "Enabled", "Disabled".
"version": 0, # Optional.
kind: SystemScanRuleset
}
]
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
def prepare_request(next_link=None):
if not next_link:
request = build_system_scan_rulesets_list_versions_by_data_source_request(
data_source_type=data_source_type,
template_url=self.list_versions_by_data_source.metadata['url'],
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
else:
request = build_system_scan_rulesets_list_versions_by_data_source_request(
data_source_type=data_source_type,
template_url=next_link,
)
request = _convert_request(request)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = _loads(pipeline_response.http_response.body())
list_of_elem = deserialized["value"]
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.get("nextLink", None), AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_versions_by_data_source.metadata = {'url': '/systemScanRulesets/versions'} # type: ignore
class TriggersOperations:
"""TriggersOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
@distributed_trace_async
async def get_trigger(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> Any:
"""Gets trigger information.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"createdAt": "2020-02-20 00:00:00", # Optional.
"incrementalScanStartTime": "2020-02-20 00:00:00", # Optional.
"lastModifiedAt": "2020-02-20 00:00:00", # Optional.
"lastScheduled": "2020-02-20 00:00:00", # Optional.
"recurrence": {
"endTime": "2020-02-20 00:00:00", # Optional.
"frequency": "str", # Optional. Possible values include: "Week", "Month".
"interval": 0, # Optional.
"schedule": {
"hours": [
0 # Optional.
],
"minutes": [
0 # Optional.
],
"monthDays": [
0 # Optional.
],
"monthlyOccurrences": [
{
"day": "str", # Optional. Possible values include: "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
"occurrence": 0 # Optional.
}
],
"weekDays": [
"str" # Optional.
]
},
"startTime": "2020-02-20 00:00:00", # Optional.
"timeZone": "str" # Optional.
},
"recurrenceInterval": "str", # Optional.
"scanLevel": "str" # Optional. Possible values include: "Full", "Incremental".
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_triggers_get_trigger_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.get_trigger.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_trigger.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/triggers/default'} # type: ignore
@distributed_trace_async
async def create_trigger(
self,
data_source_name: str,
scan_name: str,
body: Any,
**kwargs: Any
) -> Any:
"""Creates an instance of a trigger.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:param body:
:type body: Any
:return: JSON object
:rtype: Any
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# JSON input template you can fill out and use as your body input.
body = {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"createdAt": "2020-02-20 00:00:00", # Optional.
"incrementalScanStartTime": "2020-02-20 00:00:00", # Optional.
"lastModifiedAt": "2020-02-20 00:00:00", # Optional.
"lastScheduled": "2020-02-20 00:00:00", # Optional.
"recurrence": {
"endTime": "2020-02-20 00:00:00", # Optional.
"frequency": "str", # Optional. Possible values include: "Week", "Month".
"interval": 0, # Optional.
"schedule": {
"hours": [
0 # Optional.
],
"minutes": [
0 # Optional.
],
"monthDays": [
0 # Optional.
],
"monthlyOccurrences": [
{
"day": "str", # Optional. Possible values include: "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
"occurrence": 0 # Optional.
}
],
"weekDays": [
"str" # Optional.
]
},
"startTime": "2020-02-20 00:00:00", # Optional.
"timeZone": "str" # Optional.
},
"recurrenceInterval": "str", # Optional.
"scanLevel": "str" # Optional. Possible values include: "Full", "Incremental".
}
}
# response body for status code(s): 200, 201
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"createdAt": "2020-02-20 00:00:00", # Optional.
"incrementalScanStartTime": "2020-02-20 00:00:00", # Optional.
"lastModifiedAt": "2020-02-20 00:00:00", # Optional.
"lastScheduled": "2020-02-20 00:00:00", # Optional.
"recurrence": {
"endTime": "2020-02-20 00:00:00", # Optional.
"frequency": "str", # Optional. Possible values include: "Week", "Month".
"interval": 0, # Optional.
"schedule": {
"hours": [
0 # Optional.
],
"minutes": [
0 # Optional.
],
"monthDays": [
0 # Optional.
],
"monthlyOccurrences": [
{
"day": "str", # Optional. Possible values include: "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
"occurrence": 0 # Optional.
}
],
"weekDays": [
"str" # Optional.
]
},
"startTime": "2020-02-20 00:00:00", # Optional.
"timeZone": "str" # Optional.
},
"recurrenceInterval": "str", # Optional.
"scanLevel": "str" # Optional. Possible values include: "Full", "Incremental".
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Any]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop('content_type', "application/json") # type: Optional[str]
json = body
request = build_triggers_create_trigger_request(
data_source_name=data_source_name,
scan_name=scan_name,
content_type=content_type,
json=json,
template_url=self.create_trigger.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if response.status_code == 201:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_trigger.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/triggers/default'} # type: ignore
@distributed_trace_async
async def delete_trigger(
self,
data_source_name: str,
scan_name: str,
**kwargs: Any
) -> Optional[Any]:
"""Deletes the trigger associated with the scan.
:param data_source_name:
:type data_source_name: str
:param scan_name:
:type scan_name: str
:return: JSON object
:rtype: Any or None
:raises: ~azure.core.exceptions.HttpResponseError
Example:
.. code-block:: python
# response body for status code(s): 200
response.json() == {
"id": "str", # Optional.
"name": "str", # Optional.
"properties": {
"createdAt": "2020-02-20 00:00:00", # Optional.
"incrementalScanStartTime": "2020-02-20 00:00:00", # Optional.
"lastModifiedAt": "2020-02-20 00:00:00", # Optional.
"lastScheduled": "2020-02-20 00:00:00", # Optional.
"recurrence": {
"endTime": "2020-02-20 00:00:00", # Optional.
"frequency": "str", # Optional. Possible values include: "Week", "Month".
"interval": 0, # Optional.
"schedule": {
"hours": [
0 # Optional.
],
"minutes": [
0 # Optional.
],
"monthDays": [
0 # Optional.
],
"monthlyOccurrences": [
{
"day": "str", # Optional. Possible values include: "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
"occurrence": 0 # Optional.
}
],
"weekDays": [
"str" # Optional.
]
},
"startTime": "2020-02-20 00:00:00", # Optional.
"timeZone": "str" # Optional.
},
"recurrenceInterval": "str", # Optional.
"scanLevel": "str" # Optional. Possible values include: "Full", "Incremental".
}
}
"""
cls = kwargs.pop('cls', None) # type: ClsType[Optional[Any]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
request = build_triggers_delete_trigger_request(
data_source_name=data_source_name,
scan_name=scan_name,
template_url=self.delete_trigger.metadata['url'],
)
path_format_arguments = {
"Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
}
request.url = self._client.format_url(request.url, **path_format_arguments)
pipeline_response = await self._client.send_request(request, stream=False, _return_pipeline_response=True, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response)
deserialized = None
if response.status_code == 200:
if response.content:
deserialized = response.json()
else:
deserialized = None
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
delete_trigger.metadata = {'url': '/datasources/{dataSourceName}/scans/{scanName}/triggers/default'} # type: ignore
| 44.201337
| 1,516
| 0.506971
| 12,840
| 158,727
| 6.071417
| 0.035592
| 0.050092
| 0.024475
| 0.009492
| 0.934425
| 0.928614
| 0.922226
| 0.909206
| 0.896379
| 0.892235
| 0
| 0.019464
| 0.393758
| 158,727
| 3,590
| 1,517
| 44.213649
| 0.790672
| 0.1359
| 0
| 0.827836
| 0
| 0
| 0.056683
| 0.034118
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01781
| false
| 0
| 0.008575
| 0
| 0.090369
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
3f956a3e29027dfcd4a6e0e244eaea9d3c74711a
| 2,410
|
py
|
Python
|
ICML_paper_experiments.py
|
maitchison/RTG
|
a1422a408447e22bad6e07adb87bb10d26ef36cd
|
[
"Apache-2.0"
] | 1
|
2021-07-29T02:42:33.000Z
|
2021-07-29T02:42:33.000Z
|
ICML_paper_experiments.py
|
maitchison/RTG
|
a1422a408447e22bad6e07adb87bb10d26ef36cd
|
[
"Apache-2.0"
] | null | null | null |
ICML_paper_experiments.py
|
maitchison/RTG
|
a1422a408447e22bad6e07adb87bb10d26ef36cd
|
[
"Apache-2.0"
] | null | null | null |
# This script will generate the results used in the ICML paper and is provided for reproducibility.
# Time to run is approximately 4 days if run on 4 GPUs, however this script will run experiments sequentially on one GPU
# On a multi-gpu machine it is recommended to execute each run in parallel and to modifying the --device='cuda:0'
# appropriately.
# Note: A RTX2080 can comfortably run 2 experiments simultaneously with little performance impact.
import os
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413a_db00' --prediction='action' --deception_bonus='(0,0,0)' --device='cuda:0' --epochs=300 --seed=0")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413b_db00' --prediction='action' --deception_bonus='(0,0,0)' --device='cuda:0' --epochs=300 --seed=1")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413c_db00' --prediction='action' --deception_bonus='(0,0,0)' --device='cuda:0' --epochs=300 --seed=2")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413d_db00' --prediction='action' --deception_bonus='(0,0,0)' --device='cuda:0' --epochs=300 --seed=3")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413a_db05' --prediction='action' --deception_bonus='(0.5,0,0)' --device='cuda:0' --epochs=300 --seed=4")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413b_db05' --prediction='action' --deception_bonus='(0.5,0,0)' --device='cuda:0' --epochs=300 --seed=5")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413c_db05' --prediction='action' --deception_bonus='(0.5,0,0)' --device='cuda:0' --epochs=300 --seed=6")
os.system("python train.py train --train_scenario='rescue_training' --eval_scenarios='[]' --micro=1024 --verbose=2 --run='rescue413d_db05' --prediction='action' --deception_bonus='(0.5,0,0)' --device='cuda:0' --epochs=300 --seed=7")
# this will test agents against a mixture over all agents.
os.system("python arena.py")
| 120.5
| 232
| 0.722822
| 358
| 2,410
| 4.75419
| 0.25419
| 0.014101
| 0.058167
| 0.089307
| 0.740306
| 0.740306
| 0.740306
| 0.740306
| 0.740306
| 0.740306
| 0
| 0.070556
| 0.082573
| 2,410
| 20
| 233
| 120.5
| 0.699231
| 0.207054
| 0
| 0
| 1
| 0.8
| 0.92336
| 0.533333
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.1
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
3fd5d25888f3c77bdae256d9598cb749b30291ca
| 86,515
|
py
|
Python
|
tests/test_status_checker.py
|
uk-gov-mirror/dwp.dataworks-snapshot-sender-status-checker
|
d0372c3498c0717fdab0c37c5371217e375d4b52
|
[
"0BSD"
] | null | null | null |
tests/test_status_checker.py
|
uk-gov-mirror/dwp.dataworks-snapshot-sender-status-checker
|
d0372c3498c0717fdab0c37c5371217e375d4b52
|
[
"0BSD"
] | null | null | null |
tests/test_status_checker.py
|
uk-gov-mirror/dwp.dataworks-snapshot-sender-status-checker
|
d0372c3498c0717fdab0c37c5371217e375d4b52
|
[
"0BSD"
] | null | null | null |
#!/usr/bin/env python3
import unittest
import pytest
import argparse
import json
import prometheus_client
from copy import deepcopy
from unittest import mock
from status_checker_lambda import status_checker
EXPORTING_STATUS = "Exporting"
EXPORTED_STATUS = "Exported"
SENT_STATUS = "Sent"
RECEIVED_STATUS = "Received"
SUCCESS_STATUS = "Success"
COLLECTION_1 = "collection1"
COLLECTION_2 = "collection2"
CORRELATION_ID_1 = "correlationId1"
CORRELATION_ID_FIELD_NAME = "correlation_id"
COLLECTION_NAME_FIELD_NAME = "collection_name"
SNAPSHOT_TYPE_FIELD_NAME = "snapshot_type"
EXPORT_DATE_FIELD_NAME = "export_date"
IS_SUCCESS_FILE_FIELD_NAME = "is_success_file"
SHUTDOWN_FLAG_FIELD_NAME = "shutdown_flag"
FILE_NAME_FIELD_NAME = "file_name"
REPROCESS_FILES_FIELD_NAME = "reprocess_files"
CORRELATION_ID_DDB_FIELD_NAME = "CorrelationId"
COLLECTION_NAME_DDB_FIELD_NAME = "CollectionName"
COLLECTION_STATUS_DDB_FIELD_NAME = "CollectionStatus"
DDB_TABLE_NAME = "TestStatusTable"
SQS_QUEUE_URL = "http://test"
SNS_TOPIC_ARN = "test_sns_arn"
EXPORT_DATE = "2021-01-01"
SNAPSHOT_TYPE = "fulls"
MESSAGE_STATUS = "test status"
TEST_FILE_NAME = "test_file"
SLACK_USERNAME = "Snapshot Sender"
PUSHGATEWAY_HOSTNAME = "test-host"
PUSHGATEWAY_PORT = 9090
METRICS_JOB_NAME = "snapshot_sender_status_checker"
GROUPING_KEY = {"test": "test_key"}
args = argparse.Namespace()
args.dynamo_db_export_status_table_name = DDB_TABLE_NAME
args.monitoring_sns_topic_arn = SNS_TOPIC_ARN
args.export_state_sqs_queue_url = SQS_QUEUE_URL
args.pushgateway_hostname = PUSHGATEWAY_HOSTNAME
args.pushgateway_port = PUSHGATEWAY_PORT
args.log_level = "INFO"
class TestReplayer(unittest.TestCase):
@mock.patch("status_checker_lambda.status_checker.handle_message")
@mock.patch("status_checker_lambda.status_checker.extract_messages")
@mock.patch("status_checker_lambda.status_checker.setup_logging")
@mock.patch("status_checker_lambda.status_checker.get_parameters")
@mock.patch("status_checker_lambda.status_checker.get_client")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_handler_gets_clients_and_processes_all_messages(
self,
mock_logger,
get_client_mock,
get_parameters_mock,
setup_logging_mock,
extract_messages_mock,
handle_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
get_client_mock_return_values = {
"dynamodb": dynamodb_client_mock,
"sqs": sqs_client_mock,
"sns": sns_client_mock,
}
get_client_mock.side_effect = get_client_mock_return_values.get
get_parameters_mock.return_value = args
extract_messages_mock.return_value = [
{"test1": "test_value1"},
{"test2": "test_value2"},
]
event = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
}
status_checker.handler(event, None)
get_client_mock.assert_any_call("dynamodb")
get_client_mock.assert_any_call("sqs")
get_client_mock.assert_any_call("sns")
get_parameters_mock.assert_called_once()
setup_logging_mock.assert_called_once()
extract_messages_mock.assert_called_once_with(event)
self.assertEqual(handle_message_mock.call_count, 2)
handle_message_mock.assert_any_call(
{"test1": "test_value1"},
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
handle_message_mock.assert_any_call(
{"test2": "test_value2"},
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
@mock.patch("status_checker_lambda.status_checker.delete_metrics")
@mock.patch("status_checker_lambda.status_checker.push_metrics")
@mock.patch("status_checker_lambda.status_checker.process_message")
@mock.patch("status_checker_lambda.status_checker.check_for_mandatory_keys")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_handle_message_extracts_logging_fields_and_processes_message(
self,
mock_logger,
check_for_mandatory_keys_mock,
process_message_mock,
push_metrics_mock,
delete_metrics_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_message_mock.return_value = False
check_for_mandatory_keys_mock.return_value = True
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
FILE_NAME_FIELD_NAME: TEST_FILE_NAME,
}
status_checker.handle_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
process_message_mock.assert_called_once_with(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
push_metrics_mock.assert_called_once_with(
mock.ANY,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
)
delete_metrics_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.delete_metrics")
@mock.patch("status_checker_lambda.status_checker.push_metrics")
@mock.patch("status_checker_lambda.status_checker.process_message")
@mock.patch("status_checker_lambda.status_checker.check_for_mandatory_keys")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_handle_message_deletes_metrics_when_all_collections_successful(
self,
mock_logger,
check_for_mandatory_keys_mock,
process_message_mock,
push_metrics_mock,
delete_metrics_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_message_mock.return_value = True
check_for_mandatory_keys_mock.return_value = True
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
FILE_NAME_FIELD_NAME: TEST_FILE_NAME,
}
status_checker.handle_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
process_message_mock.assert_called_once_with(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
push_metrics_mock.assert_called_once_with(
mock.ANY,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
)
delete_metrics_mock.assert_called_once_with(
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
mock.ANY,
)
@mock.patch("status_checker_lambda.status_checker.delete_metrics")
@mock.patch("status_checker_lambda.status_checker.push_metrics")
@mock.patch("status_checker_lambda.status_checker.process_message")
@mock.patch("status_checker_lambda.status_checker.check_for_mandatory_keys")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_handle_message_pushes_metrics_even_when_error(
self,
mock_logger,
check_for_mandatory_keys_mock,
process_message_mock,
push_metrics_mock,
delete_metrics_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_message_mock.side_effect = Exception("Test")
process_message_mock.return_value = False
check_for_mandatory_keys_mock.return_value = True
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
FILE_NAME_FIELD_NAME: TEST_FILE_NAME,
}
with self.assertRaises(Exception):
status_checker.handle_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
process_message_mock.assert_called_once_with(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
push_metrics_mock.assert_called_once_with(
mock.ANY,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
)
delete_metrics_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.delete_metrics")
@mock.patch("status_checker_lambda.status_checker.push_metrics")
@mock.patch("status_checker_lambda.status_checker.process_message")
@mock.patch("status_checker_lambda.status_checker.check_for_mandatory_keys")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_handle_message_stops_when_missing_mandatory_keys(
self,
mock_logger,
check_for_mandatory_keys_mock,
process_message_mock,
push_metrics_mock,
delete_metrics_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_message_mock.return_value = False
check_for_mandatory_keys_mock.return_value = False
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
}
status_checker.handle_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
)
process_message_mock.assert_not_called()
push_metrics_mock.assert_not_called()
delete_metrics_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_normal_message_when_success_file_field_not_present(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
message = {}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_normal_message_when_success_file_field_null(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
message = {
IS_SUCCESS_FILE_FIELD_NAME: None,
}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_normal_message_when_success_file_field_empty(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
message = {
IS_SUCCESS_FILE_FIELD_NAME: "",
}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_normal_message_when_success_file_field_not_true(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
message = {
IS_SUCCESS_FILE_FIELD_NAME: "false",
}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_success_message_when_success_file_field_true(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_success_file_message_mock.return_value = False
message = {
IS_SUCCESS_FILE_FIELD_NAME: "true",
}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.process_normal_file_message")
@mock.patch("status_checker_lambda.status_checker.process_success_file_message")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_message_processes_success_message_when_success_file_field_true_regardless_of_case(
self,
mock_logger,
process_success_file_message_mock,
process_normal_file_message_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
process_success_file_message_mock.return_value = True
message = {
IS_SUCCESS_FILE_FIELD_NAME: "TRUE",
}
result = status_checker.process_message(
message,
dynamodb_client_mock,
sqs_client_mock,
sns_client_mock,
DDB_TABLE_NAME,
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
TEST_FILE_NAME,
)
process_success_file_message_mock.assert_called_once_with(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
process_normal_file_message_mock.assert_not_called()
self.assertTrue(result)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.send_sqs_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_export_state_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_received")
@mock.patch(
"status_checker_lambda.status_checker.update_files_received_for_collection"
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_normal_message_when_all_collections_have_been_received(
self,
mock_logger,
update_files_received_for_collection_mock,
is_collection_received_mock,
update_status_for_collection_mock,
generate_export_state_message_payload_mock,
send_sqs_message_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": SENT_STATUS,
"FilesReceived": 1,
"FilesSent": 1,
}
update_files_received_for_collection_mock.return_value = (
single_collection_result
)
is_collection_received_mock.return_value = True
expected_payload_sqs = {
"shutdown_flag": "true",
"correlation_id": CORRELATION_ID_1,
"topic_name": COLLECTION_1,
"snapshot_type": SNAPSHOT_TYPE,
"reprocess_files": "true",
"export_date": EXPORT_DATE,
"send_success_indicator": "true",
}
generate_export_state_message_payload_mock.return_value = expected_payload_sqs
all_collections_result = [
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_1,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_2,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
]
query_dynamodb_for_all_collections_mock.return_value = all_collections_result
check_completion_status_mock.return_value = True
expected_payload_sns = {
"severity": "Critical",
"notification_type": "Information",
"slack_username": SLACK_USERNAME,
"title_text": "Fulls - test status",
}
generate_monitoring_message_payload_mock.return_value = expected_payload_sns
status_checker.process_normal_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
update_files_received_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
is_collection_received_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
RECEIVED_STATUS,
TEST_FILE_NAME,
)
generate_export_state_message_payload_mock.assert_called_once_with(
SNAPSHOT_TYPE,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
"true",
"true",
TEST_FILE_NAME,
)
send_sqs_message_mock.assert_called_once_with(
sqs_client_mock,
expected_payload_sqs,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
query_dynamodb_for_all_collections_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
check_completion_status_mock.assert_called_once_with(
all_collections_result,
[RECEIVED_STATUS, SUCCESS_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
generate_monitoring_message_payload_mock.assert_called_once_with(
SNAPSHOT_TYPE,
"All collections received by NiFi",
EXPORT_DATE,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
send_sns_message_mock.assert_called_once_with(
sns_client_mock,
expected_payload_sns,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
increment_counter_mock.assert_called_once_with(
mock.ANY,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
value=1,
)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.send_sqs_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_export_state_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_received")
@mock.patch(
"status_checker_lambda.status_checker.update_files_received_for_collection"
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_normal_message_when_current_collection_has_been_received_but_others_have_not(
self,
mock_logger,
update_files_received_for_collection_mock,
is_collection_received_mock,
update_status_for_collection_mock,
generate_export_state_message_payload_mock,
send_sqs_message_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": SENT_STATUS,
"FilesReceived": 1,
"FilesSent": 1,
}
update_files_received_for_collection_mock.return_value = (
single_collection_result
)
is_collection_received_mock.return_value = True
expected_payload_sqs = {
"shutdown_flag": "true",
"correlation_id": CORRELATION_ID_1,
"topic_name": COLLECTION_1,
"snapshot_type": SNAPSHOT_TYPE,
"reprocess_files": "true",
"export_date": EXPORT_DATE,
"send_success_indicator": "true",
}
generate_export_state_message_payload_mock.return_value = expected_payload_sqs
all_collections_result = [
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_1,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_2,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
]
query_dynamodb_for_all_collections_mock.return_value = all_collections_result
check_completion_status_mock.return_value = False
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
}
status_checker.process_normal_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
update_files_received_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
is_collection_received_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
RECEIVED_STATUS,
TEST_FILE_NAME,
)
generate_export_state_message_payload_mock.assert_called_once_with(
SNAPSHOT_TYPE,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
"true",
"true",
TEST_FILE_NAME,
)
send_sqs_message_mock.assert_called_once_with(
sqs_client_mock,
expected_payload_sqs,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
query_dynamodb_for_all_collections_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
check_completion_status_mock.assert_called_once_with(
all_collections_result,
[RECEIVED_STATUS, SUCCESS_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
generate_monitoring_message_payload_mock.assert_not_called()
send_sns_message_mock.assert_not_called()
increment_counter_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.send_sqs_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_export_state_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_received")
@mock.patch(
"status_checker_lambda.status_checker.update_files_received_for_collection"
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_normal_message_when_current_collection_has_been_received_but_others_have_not_with_optional_parameters(
self,
mock_logger,
update_files_received_for_collection_mock,
is_collection_received_mock,
update_status_for_collection_mock,
generate_export_state_message_payload_mock,
send_sqs_message_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": SENT_STATUS,
"FilesReceived": 1,
"FilesSent": 1,
}
update_files_received_for_collection_mock.return_value = (
single_collection_result
)
is_collection_received_mock.return_value = True
expected_payload_sqs = {
"shutdown_flag": "false",
"correlation_id": CORRELATION_ID_1,
"topic_name": COLLECTION_1,
"snapshot_type": SNAPSHOT_TYPE,
"reprocess_files": "false",
"export_date": EXPORT_DATE,
"send_success_indicator": "true",
}
generate_export_state_message_payload_mock.return_value = expected_payload_sqs
all_collections_result = [
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_1,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_2,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
]
query_dynamodb_for_all_collections_mock.return_value = all_collections_result
check_completion_status_mock.return_value = False
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
SHUTDOWN_FLAG_FIELD_NAME: "false",
REPROCESS_FILES_FIELD_NAME: "false",
}
status_checker.process_normal_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
update_files_received_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
is_collection_received_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
RECEIVED_STATUS,
TEST_FILE_NAME,
)
generate_export_state_message_payload_mock.assert_called_once_with(
SNAPSHOT_TYPE,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
"true",
"true",
TEST_FILE_NAME,
)
send_sqs_message_mock.assert_called_once_with(
sqs_client_mock,
expected_payload_sqs,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
query_dynamodb_for_all_collections_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
check_completion_status_mock.assert_called_once_with(
all_collections_result,
[RECEIVED_STATUS, SUCCESS_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
generate_monitoring_message_payload_mock.assert_not_called()
send_sns_message_mock.assert_not_called()
increment_counter_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.send_sqs_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_export_state_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_received")
@mock.patch(
"status_checker_lambda.status_checker.update_files_received_for_collection"
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_normal_message_when_current_collection_has_not_been_received(
self,
mock_logger,
update_files_received_for_collection_mock,
is_collection_received_mock,
update_status_for_collection_mock,
generate_export_state_message_payload_mock,
send_sqs_message_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": SENT_STATUS,
"FilesReceived": 1,
"FilesSent": 1,
}
update_files_received_for_collection_mock.return_value = (
single_collection_result
)
is_collection_received_mock.return_value = False
message = {
COLLECTION_NAME_FIELD_NAME: COLLECTION_1,
CORRELATION_ID_FIELD_NAME: CORRELATION_ID_1,
SNAPSHOT_TYPE_FIELD_NAME: SNAPSHOT_TYPE,
EXPORT_DATE_FIELD_NAME: EXPORT_DATE,
}
status_checker.process_normal_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
sqs_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
"true",
"true",
SNS_TOPIC_ARN,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
update_files_received_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
is_collection_received_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_not_called()
generate_export_state_message_payload_mock.assert_not_called()
send_sqs_message_mock.assert_not_called()
query_dynamodb_for_all_collections_mock.assert_not_called()
check_completion_status_mock.assert_not_called()
generate_monitoring_message_payload_mock.assert_not_called()
send_sns_message_mock.assert_not_called()
increment_counter_mock.assert_not_called()
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_success")
@mock.patch("status_checker_lambda.status_checker.get_current_collection")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_success_message_when_all_collections_have_been_successful(
self,
mock_logger,
get_current_collection_mock,
is_collection_success_mock,
update_status_for_collection_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": RECEIVED_STATUS,
}
get_current_collection_mock.return_value = single_collection_result
is_collection_success_mock.return_value = True
all_collections_result = [
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_1,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_2,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
]
query_dynamodb_for_all_collections_mock.return_value = all_collections_result
check_completion_status_mock.return_value = True
expected_payload_sns = {
"severity": "Critical",
"notification_type": "Information",
"slack_username": SLACK_USERNAME,
"title_text": "Fulls - test status",
}
generate_monitoring_message_payload_mock.return_value = expected_payload_sns
result = status_checker.process_success_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
get_current_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
TEST_FILE_NAME,
)
is_collection_success_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
SUCCESS_STATUS,
TEST_FILE_NAME,
)
query_dynamodb_for_all_collections_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
check_completion_status_mock.assert_called_once_with(
all_collections_result,
[SUCCESS_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
generate_monitoring_message_payload_mock.assert_called_once_with(
SNAPSHOT_TYPE,
"All collections successful",
EXPORT_DATE,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
send_sns_message_mock.assert_called_once_with(
sns_client_mock,
expected_payload_sns,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
increment_counter_mock.assert_called_once_with(
mock.ANY,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
value=1,
)
self.assertTrue(result)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_success")
@mock.patch("status_checker_lambda.status_checker.get_current_collection")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_success_message_when_current_collection_is_successful_but_others_are_not(
self,
mock_logger,
get_current_collection_mock,
is_collection_success_mock,
update_status_for_collection_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": RECEIVED_STATUS,
}
get_current_collection_mock.return_value = single_collection_result
is_collection_success_mock.return_value = True
all_collections_result = [
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_1,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
{
COLLECTION_NAME_DDB_FIELD_NAME: COLLECTION_2,
COLLECTION_STATUS_DDB_FIELD_NAME: EXPORTING_STATUS,
},
]
query_dynamodb_for_all_collections_mock.return_value = all_collections_result
check_completion_status_mock.return_value = False
result = status_checker.process_success_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
get_current_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
TEST_FILE_NAME,
)
is_collection_success_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
update_status_for_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
SUCCESS_STATUS,
TEST_FILE_NAME,
)
query_dynamodb_for_all_collections_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
check_completion_status_mock.assert_called_once_with(
all_collections_result,
[SUCCESS_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
generate_monitoring_message_payload_mock.assert_not_called()
send_sns_message_mock.assert_not_called()
increment_counter_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.send_sns_message")
@mock.patch(
"status_checker_lambda.status_checker.generate_monitoring_message_payload"
)
@mock.patch("status_checker_lambda.status_checker.check_completion_status")
@mock.patch(
"status_checker_lambda.status_checker.query_dynamodb_for_all_collections"
)
@mock.patch("status_checker_lambda.status_checker.update_status_for_collection")
@mock.patch("status_checker_lambda.status_checker.is_collection_success")
@mock.patch("status_checker_lambda.status_checker.get_current_collection")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_process_success_message_when_current_collection_is_not_successful(
self,
mock_logger,
get_current_collection_mock,
is_collection_success_mock,
update_status_for_collection_mock,
query_dynamodb_for_all_collections_mock,
check_completion_status_mock,
generate_monitoring_message_payload_mock,
send_sns_message_mock,
increment_counter_mock,
):
dynamodb_client_mock = mock.MagicMock()
sqs_client_mock = mock.MagicMock()
sns_client_mock = mock.MagicMock()
single_collection_result = {
"CollectionName": RECEIVED_STATUS,
}
get_current_collection_mock.return_value = single_collection_result
is_collection_success_mock.return_value = False
result = status_checker.process_success_file_message(
DDB_TABLE_NAME,
dynamodb_client_mock,
sns_client_mock,
CORRELATION_ID_1,
COLLECTION_1,
SNAPSHOT_TYPE,
EXPORT_DATE,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
is_collection_success_mock.assert_called_once_with(
single_collection_result,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
mock.ANY,
)
get_current_collection_mock.assert_called_once_with(
dynamodb_client_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
TEST_FILE_NAME,
)
update_status_for_collection_mock.assert_not_called()
query_dynamodb_for_all_collections_mock.assert_not_called()
check_completion_status_mock.assert_not_called()
generate_monitoring_message_payload_mock.assert_not_called()
send_sns_message_mock.assert_not_called()
increment_counter_mock.assert_not_called()
self.assertFalse(result)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_sns_payload_generates_valid_payload(self, mock_logger):
expected_payload = {
"severity": "Critical",
"notification_type": "Information",
"slack_username": SLACK_USERNAME,
"title_text": "Fulls - test status",
"custom_elements": [
{"key": "Export date", "value": EXPORT_DATE},
{"key": "Correlation Id", "value": CORRELATION_ID_1},
],
}
actual_payload = status_checker.generate_monitoring_message_payload(
SNAPSHOT_TYPE,
MESSAGE_STATUS,
EXPORT_DATE,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
self.assertEqual(expected_payload, actual_payload)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_sqs_payload_generates_valid_payload(self, mock_logger):
expected_payload = {
"shutdown_flag": "true",
"correlation_id": CORRELATION_ID_1,
"topic_name": COLLECTION_1,
"snapshot_type": SNAPSHOT_TYPE,
"reprocess_files": "false",
"export_date": EXPORT_DATE,
"send_success_indicator": "true",
}
actual_payload = status_checker.generate_export_state_message_payload(
SNAPSHOT_TYPE,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
"true",
"false",
TEST_FILE_NAME,
)
self.assertEqual(expected_payload, actual_payload)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_sqs_payload_generates_valid_payload(self, mock_logger):
expected_payload = {
"shutdown_flag": "false",
"correlation_id": CORRELATION_ID_1,
"topic_name": COLLECTION_1,
"snapshot_type": SNAPSHOT_TYPE,
"reprocess_files": "true",
"export_date": EXPORT_DATE,
"send_success_indicator": "true",
}
actual_payload = status_checker.generate_export_state_message_payload(
SNAPSHOT_TYPE,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
"false",
"true",
TEST_FILE_NAME,
)
self.assertEqual(expected_payload, actual_payload)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_true_with_one_status_to_check(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTED_STATUS},
}
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(True, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_true_with_multiple_collections_and_one_status(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTED_STATUS},
},
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_2},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTED_STATUS},
},
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(True, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_true_with_multiple_statuses_to_check(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTED_STATUS},
}
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS, SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(True, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_true_with_multiple_collections_and_multiple_statuses(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTED_STATUS},
},
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_2},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": SENT_STATUS},
},
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS, SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(True, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_false_with_one_status_to_check(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
}
]
actual = status_checker.check_completion_status(
response_items,
[SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(False, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_false_with_multiple_collections_and_one_status(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
},
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_2},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
},
]
actual = status_checker.check_completion_status(
response_items,
[SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(False, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_false_with_multiple_statuses_to_check(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
}
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS, SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(False, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_completion_status_returns_false_with_multiple_collections_and_multiple_statuses(
self,
mock_logger,
):
response_items = [
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_1},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
},
{
COLLECTION_NAME_DDB_FIELD_NAME: {"S": COLLECTION_2},
COLLECTION_STATUS_DDB_FIELD_NAME: {"S": EXPORTING_STATUS},
},
]
actual = status_checker.check_completion_status(
response_items,
[EXPORTED_STATUS, SENT_STATUS],
SNAPSHOT_TYPE,
COLLECTION_1,
TEST_FILE_NAME,
)
self.assertEqual(False, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_required_keys_missing_returns_false(
self,
mock_logger,
):
event = {
"correlation_id": "test",
"collection_name": "test",
"snapshot_type": "test",
}
self.assertFalse(
status_checker.check_for_mandatory_keys(
event,
)
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_required_keys_null_returns_false(
self,
mock_logger,
):
event = {
"correlation_id": "test",
"collection_name": "test",
"snapshot_type": "test",
"export_date": None,
}
self.assertFalse(
status_checker.check_for_mandatory_keys(
event,
)
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_required_keys_empty_returns_false(
self,
mock_logger,
):
event = {
"correlation_id": "test",
"collection_name": "test",
"snapshot_type": "test",
"export_date": "",
}
self.assertFalse(
status_checker.check_for_mandatory_keys(
event,
)
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_required_keys_present_returns_true(
self,
mock_logger,
):
event = {
"correlation_id": "test",
"collection_name": "test",
"snapshot_type": "test",
"export_date": "test",
}
self.assertTrue(
status_checker.check_for_mandatory_keys(
event,
)
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_check_required_keys_present_returns_true_when_using_booleans(
self,
mock_logger,
):
event = {
"correlation_id": "test",
"collection_name": "test",
"snapshot_type": "test",
"export_date": True,
}
self.assertTrue(
status_checker.check_for_mandatory_keys(
event,
)
)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_true_for_sent_status(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
event = {
"CollectionStatus": {"S": SENT_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 1},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 1},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
self.assertTrue(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_true_for_exported_status(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
event = {
"CollectionStatus": {"S": EXPORTED_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 1},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 1},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
self.assertTrue(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_false_when_more_files_exported(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
counter.inc = mock.MagicMock()
event = {
"CollectionStatus": {"S": SENT_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 2},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 1},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_not_called()
counter.inc.assert_not_called()
self.assertFalse(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_true_when_more_files_sent(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
event = {
"CollectionStatus": {"S": EXPORTED_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 1},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 2},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
self.assertTrue(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_false_when_more_files_received(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
counter.inc = mock.MagicMock()
event = {
"CollectionStatus": {"S": SENT_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 1},
"FilesReceived": {"N": 2},
"FilesSent": {"N": 1},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_not_called()
counter.inc.assert_not_called()
self.assertFalse(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_false_when_more_files_exported_and_sent(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
counter.inc = mock.MagicMock()
event = {
"CollectionStatus": {"S": EXPORTED_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 2},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 2},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_not_called()
counter.inc.assert_not_called()
self.assertFalse(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_received_returns_false_when_collection_status_not_sent_or_exported(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
counter.inc = mock.MagicMock()
event = {
"CollectionStatus": {"S": EXPORTING_STATUS},
"CollectionName": {"S": COLLECTION_1},
"FilesExported": {"N": 1},
"FilesReceived": {"N": 1},
"FilesSent": {"N": 1},
}
actual = status_checker.is_collection_received(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_not_called()
counter.inc.assert_not_called()
self.assertFalse(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_success_returns_true_for_received_collection(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
event = {
"CollectionStatus": {"S": RECEIVED_STATUS},
"CollectionName": {"S": COLLECTION_1},
}
actual = status_checker.is_collection_success(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
self.assertTrue(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_success_returns_true_for_sent_collection(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
event = {
"CollectionStatus": {"S": SENT_STATUS},
"CollectionName": {"S": COLLECTION_1},
}
actual = status_checker.is_collection_success(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
self.assertTrue(actual)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_is_collection_success_returns_false(
self,
mock_logger,
increment_counter_mock,
):
counter = mock.MagicMock()
counter.inc = mock.MagicMock()
event = {
"CollectionStatus": {"S": EXPORTED_STATUS},
"CollectionName": {"S": COLLECTION_1},
}
actual = status_checker.is_collection_success(
event,
CORRELATION_ID_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
increment_counter_mock.assert_not_called()
counter.inc.assert_not_called()
self.assertFalse(actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_get_current_collection_sends_right_message(
self,
mock_logger,
):
dynamodb_mock = mock.MagicMock()
dynamodb_mock.get_item = mock.MagicMock()
status_checker.get_current_collection(
dynamodb_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
TEST_FILE_NAME,
)
dynamodb_mock.get_item.assert_called_once_with(
TableName=DDB_TABLE_NAME,
Key={
"CorrelationId": {"S": CORRELATION_ID_1},
"CollectionName": {"S": COLLECTION_1},
},
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_update_status_for_collection_sends_right_message(
self,
mock_logger,
):
dynamodb_mock = mock.MagicMock()
dynamodb_mock.update_item = mock.MagicMock()
status_checker.update_status_for_collection(
dynamodb_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
SENT_STATUS,
TEST_FILE_NAME,
)
dynamodb_mock.update_item.assert_called_once_with(
TableName=DDB_TABLE_NAME,
Key={
"CorrelationId": {"S": CORRELATION_ID_1},
"CollectionName": {"S": COLLECTION_1},
},
UpdateExpression="SET CollectionStatus = :val",
ExpressionAttributeValues={":val": {"S": SENT_STATUS}},
ReturnValues="ALL_NEW",
)
@mock.patch("status_checker_lambda.status_checker.increment_counter")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_update_files_received_for_collection_sends_right_message(
self,
mock_logger,
increment_counter_mock,
):
dynamodb_mock = mock.MagicMock()
dynamodb_mock.update_item = mock.MagicMock()
counter = mock.MagicMock()
status_checker.update_files_received_for_collection(
dynamodb_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
TEST_FILE_NAME,
counter,
)
dynamodb_mock.update_item.assert_called_once_with(
TableName=DDB_TABLE_NAME,
Key={
"CorrelationId": {"S": CORRELATION_ID_1},
"CollectionName": {"S": COLLECTION_1},
},
UpdateExpression="SET FilesReceived = FilesReceived + :val",
ExpressionAttributeValues={":val": {"N": "1"}},
ReturnValues="ALL_NEW",
)
increment_counter_mock.assert_called_once_with(
counter,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
value=1,
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_get_single_collection_sends_right_message(
self,
mock_logger,
):
dynamodb_mock = mock.MagicMock()
dynamodb_mock.get_item = mock.MagicMock()
status_checker.get_single_collection_from_dynamodb(
dynamodb_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
COLLECTION_1,
TEST_FILE_NAME,
)
dynamodb_mock.get_item.assert_called_once_with(
TableName=DDB_TABLE_NAME,
Key={
"CorrelationId": {"S": CORRELATION_ID_1},
"CollectionName": {"S": COLLECTION_1},
},
ConsistentRead=True,
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_query_all_collections_sends_right_message(
self,
mock_logger,
):
dynamodb_mock = mock.MagicMock()
dynamodb_mock.query = mock.MagicMock()
status_checker.query_dynamodb_for_all_collections(
dynamodb_mock,
DDB_TABLE_NAME,
CORRELATION_ID_1,
TEST_FILE_NAME,
)
dynamodb_mock.query.assert_called_once_with(
TableName=DDB_TABLE_NAME,
KeyConditionExpression=f"{CORRELATION_ID_DDB_FIELD_NAME} = :c",
ExpressionAttributeValues={":c": {"S": CORRELATION_ID_1}},
ConsistentRead=True,
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_send_sqs_message_sends_right_message(
self,
mock_logger,
):
sqs_mock = mock.MagicMock()
sqs_mock.send_message = mock.MagicMock()
payload = {"test_key": "test_value"}
status_checker.send_sqs_message(
sqs_mock,
payload,
SQS_QUEUE_URL,
TEST_FILE_NAME,
)
sqs_mock.send_message.assert_called_once_with(
QueueUrl=SQS_QUEUE_URL, MessageBody='{"test_key": "test_value"}'
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_send_sns_message_sends_right_message(
self,
mock_logger,
):
sns_mock = mock.MagicMock()
sns_mock.publish = mock.MagicMock()
payload = {"test_key": "test_value"}
status_checker.send_sns_message(
sns_mock,
payload,
SNS_TOPIC_ARN,
TEST_FILE_NAME,
)
sns_mock.publish.assert_called_once_with(
TopicArn=SNS_TOPIC_ARN, Message='{"test_key": "test_value"}'
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_correctly_extracts(
self,
mock_logger,
):
event = {
"Records": [{"body": {"Test1": "test_value1", "Test2": "test_value2"}}]
}
expected = [{"Test1": "test_value1", "Test2": "test_value2"}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_correctly_extracts_multiple_messages(
self,
mock_logger,
):
event = {
"Records": [
{"body": {"Test1": "test_value1", "Test2": "test_value2"}},
{"body": {"Test3": "test_value3", "Test4": "test_value4"}},
]
}
expected = [
{"Test1": "test_value1", "Test2": "test_value2"},
{"Test3": "test_value3", "Test4": "test_value4"},
]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_correctly_extracts_when_body_is_escaped_json(
self,
mock_logger,
):
event = {
"Records": [
{"body": json.dumps({"Test1": "test_value1", "Test2": "test_value2"})}
]
}
expected = [{"Test1": "test_value1", "Test2": "test_value2"}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_correctly_extracts_when_body_is_escaped_json_multiple_messages(
self,
mock_logger,
):
event = {
"Records": [
{"body": json.dumps({"Test1": "test_value1", "Test2": "test_value2"})},
{"body": json.dumps({"Test3": "test_value3", "Test4": "test_value4"})},
]
}
expected = [
{"Test1": "test_value1", "Test2": "test_value2"},
{"Test3": "test_value3", "Test4": "test_value4"},
]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_does_not_extract_without_records_array(
self,
mock_logger,
):
event = {"Records": "test_value"}
expected = [{"Records": "test_value"}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_does_not_extract_without_records_object(
self,
mock_logger,
):
event = {"Tests": "test_value"}
expected = [{"Tests": "test_value"}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_does_not_extract_with_empty_records_array(
self,
mock_logger,
):
event = {"Records": []}
expected = [{"Records": []}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_extract_messages_does_not_extract_without_body_object(
self,
mock_logger,
):
event = {"Records": [{"Test": {}}]}
expected = [{"Records": [{"Test": {}}]}]
actual = status_checker.extract_messages(
event,
)
self.assertEqual(expected, actual)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_increment_counter_mock_adds_correct_labels(
self,
mock_logger,
):
counter = mock.MagicMock()
counter.labels = mock.MagicMock()
status_checker.increment_counter(
counter,
CORRELATION_ID_1,
COLLECTION_1,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
counter.labels.assert_called_once_with(
correlation_id=CORRELATION_ID_1,
collection_name=COLLECTION_1,
export_date=EXPORT_DATE,
snapshot_type=SNAPSHOT_TYPE,
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_increment_counter_mock_adds_correct_labels_with_no_collection_name(
self,
mock_logger,
):
counter = mock.MagicMock()
counter.labels = mock.MagicMock()
status_checker.increment_counter(
counter,
CORRELATION_ID_1,
None,
EXPORT_DATE,
SNAPSHOT_TYPE,
)
counter.labels.assert_called_once_with(
correlation_id=CORRELATION_ID_1,
export_date=EXPORT_DATE,
snapshot_type=SNAPSHOT_TYPE,
)
@mock.patch("status_checker_lambda.status_checker.prometheus_client")
@mock.patch("status_checker_lambda.status_checker.generate_metrics_grouping_key")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_push_metrics_sends_the_metrics(
self,
mock_logger,
generate_metrics_grouping_key_mock,
prometheus_client_mock,
):
registry = mock.MagicMock()
generate_metrics_grouping_key_mock.return_value = GROUPING_KEY
status_checker.push_metrics(
registry,
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
)
expected_url = f"{PUSHGATEWAY_HOSTNAME}:{PUSHGATEWAY_PORT}"
generate_metrics_grouping_key_mock.assert_called_once_with(
CORRELATION_ID_1,
)
prometheus_client_mock.pushadd_to_gateway.assert_called_once_with(
gateway=expected_url,
job=METRICS_JOB_NAME,
grouping_key=GROUPING_KEY,
registry=registry,
)
@mock.patch("status_checker_lambda.status_checker.prometheus_client")
@mock.patch("status_checker_lambda.status_checker.generate_metrics_grouping_key")
@mock.patch("status_checker_lambda.status_checker.logger")
def test_delete_metrics_sends_the_metrics(
self,
mock_logger,
generate_metrics_grouping_key_mock,
prometheus_client_mock,
):
generate_metrics_grouping_key_mock.return_value = GROUPING_KEY
status_checker.delete_metrics(
PUSHGATEWAY_HOSTNAME,
PUSHGATEWAY_PORT,
METRICS_JOB_NAME,
CORRELATION_ID_1,
1,
)
expected_url = f"{PUSHGATEWAY_HOSTNAME}:{PUSHGATEWAY_PORT}"
generate_metrics_grouping_key_mock.assert_called_once_with(
CORRELATION_ID_1,
)
prometheus_client_mock.delete_from_gateway.assert_called_once_with(
gateway=expected_url,
job=METRICS_JOB_NAME,
grouping_key=GROUPING_KEY,
)
@mock.patch("status_checker_lambda.status_checker.logger")
def test_generate_metrics_grouping_key(
self,
mock_logger,
):
expected = {
"component": "snapshot_sender_status_checker",
"correlation_id": CORRELATION_ID_1,
}
actual = status_checker.generate_metrics_grouping_key(
CORRELATION_ID_1,
)
self.assertEqual(expected, actual)
if __name__ == "__main__":
unittest.main()
| 31.795296
| 123
| 0.627544
| 8,871
| 86,515
| 5.568594
| 0.028069
| 0.110529
| 0.068078
| 0.078382
| 0.936476
| 0.92763
| 0.917954
| 0.910545
| 0.903905
| 0.902528
| 0
| 0.005429
| 0.301716
| 86,515
| 2,720
| 124
| 31.806985
| 0.812272
| 0.000243
| 0
| 0.787323
| 0
| 0
| 0.1517
| 0.11283
| 0
| 0
| 0
| 0
| 0.071309
| 1
| 0.026689
| false
| 0
| 0.003336
| 0
| 0.030442
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 7
|
b20d2c5c26f8b269cdfcf4c6af52bb4b01892e2f
| 12,106
|
py
|
Python
|
tests/test_misc.py
|
mmascher/osg-configure
|
0a8490f87ff1b3340796f94ed657b62b19602347
|
[
"Apache-2.0"
] | null | null | null |
tests/test_misc.py
|
mmascher/osg-configure
|
0a8490f87ff1b3340796f94ed657b62b19602347
|
[
"Apache-2.0"
] | null | null | null |
tests/test_misc.py
|
mmascher/osg-configure
|
0a8490f87ff1b3340796f94ed657b62b19602347
|
[
"Apache-2.0"
] | null | null | null |
"""Unit tests to test misc configuration"""
# pylint: disable=W0703
# pylint: disable=R0904
import os
import sys
import unittest
import ConfigParser
import logging
import tempfile
import subprocess
# setup system library path
pathname = os.path.realpath('../')
sys.path.insert(0, pathname)
from osg_configure.modules import utilities
from osg_configure.modules import exceptions
from osg_configure.configure_modules import misc
from osg_configure.modules.utilities import get_test_config
# NullHandler is only available in Python 2.7+
try:
NullHandler = logging.NullHandler
except AttributeError:
class NullHandler(logging.Handler):
def emit(self, record):
pass
global_logger = logging.getLogger(__name__)
global_logger.addHandler(NullHandler())
class TestMisc(unittest.TestCase):
"""
Unit test class to test MiscConfiguration class
"""
def testParsing1(self):
"""
Test misc parsing
"""
config_file = get_test_config("misc/misc1.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
options = settings.options
variables = {'gums_host': 'my.gums.org',
'authorization_method': 'xacml'}
for var in variables:
self.assertTrue(options.has_key(var),
"Option %s missing" % var)
self.assertEqual(options[var].value,
variables[var],
"Wrong value obtained for %s, got %s but " \
"expected %s" % (var, options[var].value, variables[var]))
def testParsing2(self):
"""
Test misc parsing with negative values
"""
config_file = get_test_config("misc/misc2.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
options = settings.options
variables = {'gums_host': 'my.gums.org',
'authorization_method': 'xacml'}
for var in variables:
self.assertTrue(options.has_key(var),
"Option %s missing" % var)
self.assertEqual(options[var].value,
variables[var],
"Wrong value obtained for %s, got %s but " \
"expected %s" % (var, options[var].value, variables[var]))
def testParsingAuthentication(self):
"""
Test misc parsing with negative values
"""
config_file = get_test_config("misc/misc_xacml.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
self.assertTrue(settings.options.has_key('authorization_method'),
"Attribute authorization_method missing")
self.assertEqual(settings.options['authorization_method'].value,
'xacml',
"Wrong value obtained for %s, got %s but " \
"expected %s" % ('authorization_method',
settings.options['authorization_method'].value,
'xacml'))
config_file = get_test_config("misc/misc_gridmap.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
self.assertTrue(settings.options.has_key('authorization_method'),
"Attribute authorization_method missing")
self.assertEqual(settings.options['authorization_method'].value,
'gridmap',
"Wrong value obtained for %s, got %s but " \
"expected %s" % ('authorization_method',
settings.options['authorization_method'].value,
'gridmap'))
config_file = get_test_config("misc/misc_local_gridmap.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
self.assertTrue(settings.options.has_key('authorization_method'),
"Attribute authorization_method missing")
self.assertEqual(settings.options['authorization_method'].value,
'local-gridmap',
"Wrong value obtained for %s, got %s but " \
"expected %s" % ('authorization_method',
settings.options['authorization_method'].value,
'local-gridmap'))
def testMissingAttribute(self):
"""
Test the parsing when attributes are missing, should get exceptions
"""
mandatory = ['gums_host']
for option in mandatory:
config_file = get_test_config("misc/misc1.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
configuration.remove_option('Misc Services', option)
settings = misc.MiscConfiguration(logger=global_logger)
settings.parse_configuration(configuration)
self.assertTrue(not settings.check_attributes({}))
def testXacmlMissingGums(self):
"""
Test the check_attributes function when xacml is specified but the
gums host isn't
"""
config_file = get_test_config("misc/misc_xacml_missing_gums.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
settings.parse_configuration(configuration)
self.assertTrue(exceptions.ConfigureError,
settings.check_attributes({}))
def testXacmlBadGums(self):
"""
Test the check_attributes function when xacml is specified but the
gums host isn't valid
"""
config_file = get_test_config("misc/misc_xacml_bad_gums.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
attributes = settings.get_attributes()
self.assertFalse(settings.check_attributes(attributes),
"Did not notice bad gums host")
def testValidSettings(self):
"""
Test the check_attributes function to see if it oks good attributes
"""
config_file = get_test_config("misc/valid_settings.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
attributes = settings.get_attributes()
self.assertTrue(settings.check_attributes(attributes),
"Correct locations incorrectly flagged as missing")
def testValidSettings2(self):
"""
Test the check_attributes function to see if it oks good attributes
"""
config_file = get_test_config("misc/valid_settings2.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
attributes = settings.get_attributes()
self.assertTrue(settings.check_attributes(attributes),
"Correct locations incorrectly flagged as invalid")
def testInvalidSettings(self):
"""
Test the check_attributes function to see if it flags bad attributes
"""
config_file = get_test_config("misc/invalid_settings1.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
attributes = settings.get_attributes()
self.assertFalse(settings.check_attributes(attributes),
"Bad config incorrectly flagged as okay")
def testServiceList(self):
"""
Test to make sure right services get returned
"""
config_file = get_test_config("misc/misc_xacml.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
services = settings.enabled_services()
if utilities.rpm_installed('fetch-crl'):
expected_services = set(['fetch-crl-cron',
'fetch-crl-boot',
'gums-client-cron'])
else:
expected_services = set(['gums-client-cron'])
self.assertEqual(services, expected_services,
"List of enabled services incorrect, " +
"got %s but expected %s" % (services, expected_services))
config_file = get_test_config("misc/misc_gridmap.ini")
configuration = ConfigParser.SafeConfigParser()
configuration.read(config_file)
settings = misc.MiscConfiguration(logger=global_logger)
try:
settings.parse_configuration(configuration)
except Exception as e:
self.fail("Received exception while parsing configuration: %s" % e)
services = settings.enabled_services()
if utilities.rpm_installed('fetch-crl'):
expected_services = set(['fetch-crl-cron',
'fetch-crl-boot',
'edg-mkgridmap'])
else:
expected_services = set(['edg-mkgridmap'])
self.assertEqual(services, expected_services,
"List of enabled services incorrect, " +
"got %s but expected %s" % (services, expected_services))
if __name__ == '__main__':
console = logging.StreamHandler()
console.setLevel(logging.ERROR)
global_logger.addHandler(console)
unittest.main()
| 38.431746
| 89
| 0.614406
| 1,146
| 12,106
| 6.343805
| 0.15096
| 0.035763
| 0.025034
| 0.030399
| 0.804127
| 0.796149
| 0.79381
| 0.782118
| 0.772215
| 0.772215
| 0
| 0.002242
| 0.300017
| 12,106
| 314
| 90
| 38.55414
| 0.855676
| 0.065092
| 0
| 0.709677
| 0
| 0
| 0.186278
| 0.018284
| 0
| 0
| 0
| 0
| 0.082949
| 1
| 0.050691
| false
| 0.004608
| 0.050691
| 0
| 0.110599
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b74b13f93925f3292fdccc1dc8c53fa0daf60402
| 9,398
|
py
|
Python
|
Generator.py
|
ly4096x/Flexible_Resume
|
3002862ddab2dd4df41568dbb0ae6ba19ed6b62f
|
[
"MIT"
] | 1
|
2020-08-19T07:23:53.000Z
|
2020-08-19T07:23:53.000Z
|
Generator.py
|
ly4096x/Flexible_Resume
|
3002862ddab2dd4df41568dbb0ae6ba19ed6b62f
|
[
"MIT"
] | null | null | null |
Generator.py
|
ly4096x/Flexible_Resume
|
3002862ddab2dd4df41568dbb0ae6ba19ed6b62f
|
[
"MIT"
] | null | null | null |
import jinja2, os, sys, json
from datetime import datetime
def generate_defaults(template, contact_info, banner_msg, output_dir, build=False):
version = 'Software'
preset = 'OnePage'
date = datetime.now().strftime('%Y%m%d')
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = True,
ShowUrls = True,
BannerMsg = banner_msg,
ShowTechnicalRange = False,
ShowEducationDetails = True,
ShowWorkExperienceDetails = 1,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = False,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = False,
ShowProjectsDetails = 1,
CropDueToPageLimit = False,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
version = 'Software'
preset = 'TwoPages'
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = True,
ShowUrls = True,
BannerMsg = banner_msg,
ShowTechnicalRange = False,
ShowEducationDetails = True,
ShowWorkExperienceDetails = 2,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = True,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = True,
ShowProjectsDetails = 1,
CropDueToPageLimit = False,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
version = 'SoftAndHardware'
preset = 'OnePage'
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = True,
ShowUrls = True,
BannerMsg = banner_msg,
ShowTechnicalRange = False,
ShowEducationDetails = False,
ShowWorkExperienceDetails = 1,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = False,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = False,
ShowProjectsDetails = 1,
CropDueToPageLimit = False,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
version = 'SoftAndHardware'
preset = 'TwoPages'
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = True,
ShowUrls = True,
BannerMsg = '', # to prevent page overflow
ShowTechnicalRange = False,
ShowEducationDetails = True,
ShowWorkExperienceDetails = 2,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = True,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = True,
ShowProjectsDetails = 1,
CropDueToPageLimit = True,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
version = 'SoftAndHardware'
preset = 'NotForWork'
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = False,
ShowUrls = True,
BannerMsg = banner_msg,
ShowTechnicalRange = False,
ShowEducationDetails = True,
ShowWorkExperienceDetails = 2,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = True,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = True,
ShowProjectsDetails = 1,
CropDueToPageLimit = False,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
##################################################################
if __name__ == '__main__':
latex_jinja_env = jinja2.Environment(
block_start_string = '\BLOCK{',
block_end_string = '}',
variable_start_string = '\VAR{',
variable_end_string = '}',
comment_start_string = '\#{',
comment_end_string = '}',
line_statement_prefix = '%=',
line_comment_prefix = '%#',
trim_blocks = True,
autoescape = False,
undefined = jinja2.StrictUndefined,
loader = jinja2.FileSystemLoader(os.path.abspath('.'))
)
template = latex_jinja_env.get_template('ResumeTemplate.tex')
if len(sys.argv) >= 2:
with open(sys.argv[1]) as f:
contact_info = json.load(f)
build = (len(sys.argv) >= 3)
banner_msg = ''
if len(sys.argv) >= 4:
banner_msg = sys.argv[3]
output_dir = f"output/{contact_info['email']}-{datetime.now().strftime('%Y%m%d')}"
if not os.path.exists(output_dir):
os.makedirs(output_dir)
if False: # custom format generation
version = 'SoftAndHardware'
preset = 'NotForWork'
date = datetime.now().strftime('%Y%m%d')
out = template.render(
VERSION = version,
PRESET = preset,
DATE = date,
ShowProjectFootNote = True,
MyEmail = contact_info['email'],
MyPhone = contact_info['phone'],
MyAddress = contact_info['address'],
ShowPersonalContact = False,
ShowUrls = True,
BannerMsg = banner_msg,
ShowTechnicalRange = False,
ShowEducationDetails = True,
ShowWorkExperienceDetails = 2,
ShowPublications = True,
ShowSkillsAndAbilities = True,
ShowHonorsAndAwards = False,
ShowHonorsAndAwardsDetails = 2,
ShowProjects = False,
ShowProjectsDetails = 2,
CropDueToPageLimit = False,
)
with open(f'{output_dir}/{version}_{preset}.tex', 'w') as f:
f.write(out)
if build:
for i in range(2):
os.system(f'pdflatex -output-directory={output_dir} -jobname=\'Resume_{version}_{preset}\' {output_dir}/{version}_{preset}.tex')
else:
generate_defaults(template, contact_info, banner_msg, output_dir, build=build)
# cleanup
_, _, fns = next(os.walk(output_dir))
for fn in fns:
ext = fn.split('.')[-1]
if ext != 'pdf':
print(f'Removing "{output_dir}/{fn}"')
os.remove(f'{output_dir}/{fn}')
| 40.683983
| 144
| 0.506278
| 750
| 9,398
| 6.190667
| 0.170667
| 0.050398
| 0.041353
| 0.05686
| 0.820159
| 0.820159
| 0.815421
| 0.815421
| 0.815421
| 0.815421
| 0
| 0.005918
| 0.3887
| 9,398
| 230
| 145
| 40.86087
| 0.802263
| 0.006065
| 0
| 0.775701
| 1
| 0
| 0.122533
| 0.071837
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004673
| false
| 0
| 0.009346
| 0
| 0.014019
| 0.004673
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b76987c996a690d4077c810fe6b4f2fcc8391f49
| 128
|
py
|
Python
|
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_1/_pkg0_0_1_0/_pkg0_0_1_0_0/_mod0_0_1_0_0_2.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_1/_pkg0_0_1_0/_pkg0_0_1_0_0/_mod0_0_1_0_0_2.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_1/_pkg0_0_1_0/_pkg0_0_1_0_0/_mod0_0_1_0_0_2.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
name0_0_1_0_0_2_0 = None
name0_0_1_0_0_2_1 = None
name0_0_1_0_0_2_2 = None
name0_0_1_0_0_2_3 = None
name0_0_1_0_0_2_4 = None
| 14.222222
| 24
| 0.820313
| 40
| 128
| 1.875
| 0.175
| 0.4
| 0.466667
| 0.533333
| 0.88
| 0.88
| 0.746667
| 0
| 0
| 0
| 0
| 0.318182
| 0.140625
| 128
| 9
| 25
| 14.222222
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
b775d0a4a50826403eb5412e5570520ff4f9d235
| 49
|
py
|
Python
|
gmprocess/version.py
|
mhearne-usgs/groundmotion-processing
|
eb4c85159d4cc7e57ef19329abf92a4cd97ffdd7
|
[
"Unlicense"
] | null | null | null |
gmprocess/version.py
|
mhearne-usgs/groundmotion-processing
|
eb4c85159d4cc7e57ef19329abf92a4cd97ffdd7
|
[
"Unlicense"
] | null | null | null |
gmprocess/version.py
|
mhearne-usgs/groundmotion-processing
|
eb4c85159d4cc7e57ef19329abf92a4cd97ffdd7
|
[
"Unlicense"
] | null | null | null |
__version__ = "1.1.11.dev203+gf35d074a.d20220105"
| 49
| 49
| 0.795918
| 7
| 49
| 5
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.425532
| 0.040816
| 49
| 1
| 49
| 49
| 0.319149
| 0
| 0
| 0
| 0
| 0
| 0.66
| 0.66
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b7a4b7d6e883767cdf76330a80d42e83a1e3857c
| 66
|
py
|
Python
|
src/pyden/bin/activate_default.py
|
emagine-saas/hll-pyden
|
f69766e2c417fa7cc641727e04785845e4c24923
|
[
"BSD-3-Clause"
] | null | null | null |
src/pyden/bin/activate_default.py
|
emagine-saas/hll-pyden
|
f69766e2c417fa7cc641727e04785845e4c24923
|
[
"BSD-3-Clause"
] | null | null | null |
src/pyden/bin/activate_default.py
|
emagine-saas/hll-pyden
|
f69766e2c417fa7cc641727e04785845e4c24923
|
[
"BSD-3-Clause"
] | null | null | null |
from activate import activate_venv_or_die
activate_venv_or_die()
| 16.5
| 41
| 0.878788
| 11
| 66
| 4.727273
| 0.545455
| 0.461538
| 0.538462
| 0.653846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 66
| 3
| 42
| 22
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
b7ed1ff8bebc3154b84f0fa9ef4250565b3f21d4
| 1,353
|
py
|
Python
|
app/controller/projectsController.py
|
kirei-open/redmine-api-grabber
|
2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7
|
[
"MIT"
] | null | null | null |
app/controller/projectsController.py
|
kirei-open/redmine-api-grabber
|
2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7
|
[
"MIT"
] | null | null | null |
app/controller/projectsController.py
|
kirei-open/redmine-api-grabber
|
2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7
|
[
"MIT"
] | null | null | null |
from app.services import redmine , redisCache
async def get_all_projects(cache, x_token):
key = f"redminegetallproject"
in_cache = await redisCache.get_redis_cache( cache, x_token, key)
if in_cache is not None:
return in_cache
data = redmine.get_all_projects()
await redisCache.set_redis_cache(data, cache, x_token, key)
return data
async def get_all_project_summary(cache, x_token):
key = f"redminegetsummary"
in_cache = await redisCache.get_redis_cache( cache, x_token, key)
if in_cache is not None:
return in_cache
data = redmine.get_all_project_summary()
await redisCache.set_redis_cache(data, cache, x_token, key)
return data
async def get_all_project_detail(cache, x_token):
key = f"getprojectdetail"
in_cache = await redisCache.get_redis_cache( cache, x_token, key)
if in_cache is not None:
return in_cache
data = redmine.get_all_project_detail()
await redisCache.set_redis_cache(data, cache, x_token, key)
return data
async def get_project_by_id(id, cache, x_token):
key = f"getprojectid_{id}"
in_cache = await redisCache.get_redis_cache( cache, x_token, key)
if in_cache is not None:
return in_cache
data = redmine.get_project_by_id(id)
await redisCache.set_redis_cache(data, cache, x_token, key)
return data
| 34.692308
| 69
| 0.728751
| 207
| 1,353
| 4.458937
| 0.169082
| 0.078007
| 0.143012
| 0.182015
| 0.825569
| 0.732394
| 0.732394
| 0.732394
| 0.732394
| 0.732394
| 0
| 0
| 0.1966
| 1,353
| 39
| 70
| 34.692308
| 0.849126
| 0
| 0
| 0.606061
| 0
| 0
| 0.051699
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.030303
| 0
| 0.272727
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4d4cc039e028bcd318ad8d0b225ffd3ca032aec3
| 78,244
|
py
|
Python
|
storage/fase2/team02/storage/b/Interfaz.py
|
Alejandro5852/tytus
|
a8952b9c38377c6d0171eaa322b04f0adb6cc399
|
[
"MIT"
] | 35
|
2020-12-07T03:11:43.000Z
|
2021-04-15T17:38:16.000Z
|
storage/fase2/team02/storage/b/Interfaz.py
|
Alejandro5852/tytus
|
a8952b9c38377c6d0171eaa322b04f0adb6cc399
|
[
"MIT"
] | 47
|
2020-12-09T01:29:09.000Z
|
2021-01-13T05:37:50.000Z
|
storage/fase2/team02/storage/b/Interfaz.py
|
Alejandro5852/tytus
|
a8952b9c38377c6d0171eaa322b04f0adb6cc399
|
[
"MIT"
] | 556
|
2020-12-07T03:13:31.000Z
|
2021-06-17T17:41:10.000Z
|
# File: Interface
# License: Released under MIT License
# Notice: Copyright (c) 2020 TytusDB Team
from tkinter import *
from tkinter import ttk
from tkinter import messagebox
from PIL import Image, ImageTk
from team17 import BMode as B
def runInterface():
r = PP()
class PP:
#------------------------------ PANTALLA INICIAL----------------------------------#
def __init__(self):
self.PP = Tk()
self.PP.resizable(True,False)
self.PP.title("Tytus 2020")
self.PP.geometry("1000x500")
self.PP.configure(bg="#102027")
self.isPantalla1 = 0
self.isPantallaBases = 0
self.isPantFunciones = 0
self.isAcerca = False
self.dell = False
self.pantalla1()
def pantalla1(self):
if self.isPantalla1 == 1:
self.ndb.destroy()
elif self.isPantalla1 == 2:
self.Funciones.destroy()
if self.isAcerca:
self.Acerca.destroy()
self.isAcerca = False
self.isPantalla1 = 0
self.FrameInicial = Frame(height=500, width=800)
self.FrameInicial.config(bg="#37474f")
self.FrameInicial.pack(padx=25, pady=25)
self.image = PhotoImage(file='team17/docs/img/usac.png')
Label(self.FrameInicial,image=self.image, bg="#37474f").place(x=230,y=70)
Label(self.FrameInicial,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Button(self.FrameInicial, text="Reportes", command=self.Reportes,font=("Times New Roman",15),fg="#000000", bg="#ff6f00",width=10).place(x=330,y=125)
Button(self.FrameInicial, text="Funciones", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#000000",bg="#ff6f00",width=10).place(x=330,y=200)
Button(self.FrameInicial, text="Acerca De", command=self.AcercaDe,font=("Times New Roman",15),fg="#000000",bg="#ff6f00",width=10).place(x=330,y=275)
Button(self.FrameInicial, text="Salir", command=self.Salir,font=("Times New Roman",15),fg="#ffffff",bg="#ff3d00",width=5).place(x=10,y=400)
Label(self.FrameInicial,text="USAC",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=315,y=375)
self.FrameInicial.mainloop()
#---------------------------- REPORTES ---------------------------------------------#
def Reportes(self):
if self.isPantFunciones ==0:
self.FrameInicial.destroy()
self.isPantFunciones = 0
self.isPantalla1 = 2
self.Funciones = Frame(height=500, width=800)
self.Funciones.config(bg="#37474f")
self.Funciones.pack(padx=25, pady=25)
Label(self.Funciones,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.Funciones,text="Reportes",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.Funciones,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.Funciones, text="Atras", command=self.pantalla1,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.Funciones, text="Aceptar", command=self._Reportes,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.Funciones,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _Reportes(self):
if self.com.get() != "Seleccionar":
self.con = ttk.Combobox(self.Funciones,state="readonly",font=("Times New Roman",15))
Label(self.Funciones,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.Funciones, text="Aceptar", command=self.__Reportes,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __Reportes(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
B.serializar.rollback(str(self.com.get())+"-"+str(self.con.get())+"-B").graficar()
self.nodos = ttk.Combobox(self.Funciones,state="readonly",font=("Times New Roman",15))
self.nodos.place(x=240,y=250)
aux = ["Seleccionar"]
self.o = B.serializar.rollback(str(self.com.get())+"-"+str(self.con.get())+"-B").Keys()
for i in self.o:
aux.append(i)
self.nodos["values"] = aux
self.nodos.current(0)
Label(self.Funciones,text="Llaves: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Button(self.Funciones, text="Aceptar", command=self.Nodo,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
self.win = Toplevel()
self.win.geometry("600x600")
self.win.configure(bg="#102027")
self.image = Image.open('salida.png')
self.copy = self.image.copy()
self.foto = ImageTk.PhotoImage(self.image)
self.label = ttk.Label(self.win, image = self.foto)
self.label.bind('<Configure>', self.resize_image)
self.label.pack(fill=BOTH, expand = YES)
def Nodo(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar" and self.nodos != "Seleccionar":
c = B.extractRow(str(self.com.get()), str(self.con.get()),self.nodos.get().split("_"))
if c != []:
z = ""
for i in c:
z += str(i) + ", "
z = z[:-2]
Label(self.Funciones,text= z ,font=("Times New Roman",20),fg="black", bg="white",width=50).place(x=25,y=350)
else:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Error")
def AccederPestanaFunciones(self):
if self.isPantFunciones == 0:
self.FrameInicial.destroy()
else:
self.ndb.destroy()
self.isPantFunciones = 0
self.isPantalla1 = 2
self.Funciones = Frame(height=500, width=800)
self.Funciones.config(bg="#37474f")
self.Funciones.pack(padx=15, pady=15)
Label(self.Funciones,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.Funciones,text="Funciones",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
#BASES DE DATOS
Label(self.Funciones,text="Bases de Datos",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=150,y=100)
Button(self.Funciones, text="Nueva\n BD",font=("Times New Roman",10),command = self.NewDB,fg="#102027", bg="#ff6f00",width=10).place(x=70,y=150)
Button(self.Funciones, text="Mostrar\n BD",font=("Times New Roman",10),command = self.ShowDB,fg="#102027",bg="#ff6f00",width=10).place(x=170,y=150)
Button(self.Funciones, text="Cambiar\n Nombre",font=("Times New Roman",10),command = self.ReDB,fg="#102027",bg="#ff6f00",width=10).place(x=270,y=150)
Button(self.Funciones, text="Eliminar\n BD",font=("Times New Roman",10),command = self.DelBD,fg="#102027", bg="#ff6f00",width=10).place(x=170,y=200)
#TABLAS
Label(self.Funciones,text="Tablas",font=("Times New Roman",15),fg="#ffffff", bg="#37474f",width=10).place(x=550,y=100)
Button(self.Funciones, text="Nueva \nTabla",font=("Times New Roman",10),command = self.NewTable,fg="#102027",bg="#ff6f00",width=10).place(x=470,y=150)
Button(self.Funciones, text="Mostrar \nTablas",font=("Times New Roman",10),command = self.ShowTB,fg="#102027",bg="#ff6f00",width=10).place(x=570,y=150)
Button(self.Funciones, text="Mostrar \nDatos",font=("Times New Roman",10),command = self.ShowData,fg="#102027",bg="#ff6f00",width=10).place(x=670,y=150)
Button(self.Funciones, text="Rango\nTabla",font=("Times New Roman",10),command = self.RangleTB,fg="#102027",bg="#ff6f00",width=10).place(x=470,y=200)
Button(self.Funciones, text="Agregar \nLlave Primaria",font=("Times New Roman",10),command = self.AddPK,fg="#102027",bg="#ff6f00",width=10).place(x=570,y=200)
Button(self.Funciones, text="Eliminar \nLlave Primaria",font=("Times New Roman",10),command = self.DropPK,fg="#102027",bg="#ff6f00",width=10).place(x=670,y=200)
Button(self.Funciones, text="Cambiar \nNombre",font=("Times New Roman",10),command = self.AlterTB,fg="#102027",bg="#ff6f00",width=10).place(x=470,y=250)
Button(self.Funciones, text="Agregar \nColumna",font=("Times New Roman",10),command = self.AddCL,fg="#102027",bg="#ff6f00",width=10).place(x=570,y=250)
Button(self.Funciones, text="Eliminar \nColumna",font=("Times New Roman",10),command = self.DropCL,fg="#102027",bg="#ff6f00",width=10).place(x=670,y=250)
Button(self.Funciones, text="Eliminar \nTabla",font=("Times New Roman",10),command = self.DropTB,fg="#102027",bg="#ff6f00",width=10).place(x=570,y=300)
#TUPLAS
Label(self.Funciones,text="Tuplas",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=180,y=250)
Button(self.Funciones, text="Insertar\n Tupla",font=("Times New Roman",10),command = self.insertTP,fg="#102027", bg="#ff6f00",width=10).place(x=70,y=300)
Button(self.Funciones, text="Cargar\n CSV",font=("Times New Roman",10),command = self.CargarCSV,fg="#102027",bg="#ff6f00",width=10).place(x=170,y=300)
Button(self.Funciones, text="Extraer\n Tupla",font=("Times New Roman",10),command =self.ExtRow,fg="#102027",bg="#ff6f00",width=10).place(x=270,y=300)
Button(self.Funciones, text="Update\n Tupla",font=("Times New Roman",10),command =self.Up,fg="#102027", bg="#ff6f00",width=10).place(x=70,y=350)
Button(self.Funciones, text="Eliminar\n Tupla",font=("Times New Roman",10),command =self.DeleteTP,fg="#102027", bg="#ff6f00",width=10).place(x=170,y=350)
Button(self.Funciones, text="Truncate\n Tabla",font=("Times New Roman",10),command =self.TruncateTB,fg="#102027", bg="#ff6f00",width=10).place(x=270,y=350)
#REGRESAR A PANTALLA INICIAL
Button(self.Funciones, text="Atras", command=self.pantalla1,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=350,y=425)
#------------------------FUNCIONES DE BASES DE DATOS -----------------------#
def NewDB(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Crear Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Nombre Base de Datos: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=180,y=200)
Entry(self.ndb,textvariable=self.name,font=("Times New Roman",15),fg="black").place(x=400,y=200)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=250,y=300)
Button(self.ndb, text="Aceptar", command=self._NewBD,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=400,y=300)
def _NewBD(self):
if str(self.name.get()) != "":
a = B.createDatabase(str(self.name.get()))
if a == 0:
messagebox.showinfo(message="Base creada con exito\n",
title="BD")
elif a==1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="BD")
elif a==2:
messagebox.showinfo(message="La base de datos\n ya existe",
title="BD")
else:
messagebox.showinfo(message="No se ha ingresado\nningun nombre",
title="Nombre no ingresado")
def ShowDB(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Mostrar Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=100)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=250,y=400)
Button(self.ndb, text="Aceptar", command=self._NewBD,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=400,y=400)
a = B.showDatabases()
c = 0
d = 0
e = 1
for i in a:
Label(self.ndb,text=str(e)+") "+i,font=("Times New Roman",15),fg="white", bg="#37474f").place(x=100+d,y=150+c)
c += 40
e += 1
if c == 200:
c = 0
d += 150
def ReDB(self):
if self.dell:
self.ndb.destroy()
self.dell = False
else:
self.Funciones.destroy()
self.isPantFunciones = 1
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Renombrar Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Seleccione la Base de Datos: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Label(self.ndb,text="Nuevo Nombre: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=150,y=300)
Entry(self.ndb,textvariable=self.name,font=("Times New Roman",15),fg="black").place(x=300,y=300)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=250,y=400)
Button(self.ndb, text="Aceptar", command=self._ReBD,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=400,y=400)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=300,y=200)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _ReBD(self):
if str(self.com.get()) != "Seleccionar" and str(self.name.get()) != "":
a = B.alterDatabase(str(self.com.get()),str(self.name.get()))
if a == 0:
messagebox.showinfo(message="Operacion realizada\ncon exito",
title="BD")
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=300,y=200)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
elif a==1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="BD")
self.com.current(0)
elif a==3:
messagebox.showinfo(message="La base de datos\n ya existe",
title="BD")
self.com.current(0)
self.dell = True
self.ReDB()
else:
messagebox.showinfo(message="Por favor ingrese los campos\n",
title="Datos Incompletos")
self.com.current(0)
def DelBD(self):
if self.dell:
self.ndb.destroy()
self.dell = False
else:
self.Funciones.destroy()
self.isPantFunciones = 1
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eliminar Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Seleccione la Base de Datos: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=80,y=200)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=250,y=300)
Button(self.ndb, text="Aceptar", command=self._DelBD,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=400,y=300)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=350,y=200)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _DelBD(self):
if str(self.com.get()) != "Seleccionar":
a = messagebox.askquestion(message="Seguro que desea eliminar la\n Base de Datos "+str(self.com.get()+"\nesta accion no puede revertirse"),
title="Confirmacion")
if a != "no":
z = B.dropDatabase(str(self.com.get()))
if z == 0:
messagebox.showinfo(message="Operacion realizada\n con exito",
title="BD")
elif z==1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="BD")
self.dell = True
self.DelBD()
else:
self.com.current(0)
else:
messagebox.showinfo(message="Por favor ingrese los campos\n",
title="Datos Incompletos")
self.com.current(0)
#-------------------------FUNCIONES DE TABLAS --------------------------------#
def NewTable(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Crear Nueva Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
self.num = StringVar()
Label(self.ndb,text="Seleccione la Base de Datos: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=80,y=200)
Label(self.ndb,text="Ingrese el nombre de la Tabla: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=80,y=250)
Label(self.ndb,text="Numero de columnas: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=120,y=300)
Entry(self.ndb,textvariable=self.name,font=("Times New Roman",15),fg="black").place(x=350,y=250)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=250,y=400)
Button(self.ndb, text="Aceptar", command=self._NewTable,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=400,y=400)
Spinbox(self.ndb, from_=1,to=10000,font=("Times New Roman",15),fg="black", bg="white",state="readonly",textvariable = self.num).place(x=350,y=300)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=350,y=200)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _NewTable(self):
if str(self.com.get()) != "Seleccionar" and str(self.name.get()) != "":
a = B.createTable(str(self.com.get()),str(self.name.get()), int(self.num.get()))
if a == 0:
messagebox.showinfo(message="Operacion realizada\ncon exito",
title="BD")
elif a==1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="BD")
elif a==3:
messagebox.showinfo(message="La Tabla en la Base de Datos\n ya existe",
title="BD")
else:
messagebox.showinfo(message="Por favor ingrese los campos\n",
title="Datos Incompletos")
def ShowTB(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Mostrar Tablas de una Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=100)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=100)
Button(self.ndb, text="Aceptar", command=self._ShowTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=100)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=105)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _ShowTB(self):
if str(self.com.get()) != "Seleccionar":
self.aux = self.com.get()
self.ndb.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Mostrar Tablas de una Base de Datos",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=100)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=100)
Button(self.ndb, text="Aceptar", command=self._ShowTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=100)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=105)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
a = B.showTables(str(self.aux))
c = 0
d = 0
e = 1
for i in a:
Label(self.ndb,text=str(e)+") "+i,font=("Times New Roman",15),fg="white", bg="#37474f").place(x=100+d,y=150+c)
c += 40
e += 1
if c == 240:
c = 0
d += 150
else:
messagebox.showinfo(message="Por favor ingrese los campos\n",
title="Datos Incompletos")
self.com.current(0)
def ShowData(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Mostrar Datos de una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
self.name = StringVar()
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=200)
Button(self.ndb, text="Aceptar", command=self._ShowData,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=205)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _ShowData(self):
if self.com.get() != "Seleccionar":
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Button(self.ndb, text="Aceptar", command=self.__ShowData,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
self.con.place(x=240,y=250)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __ShowData(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
self.z = B.extractTable(str(self.com.get()),str(self.con.get()))
if self.z != None and self.z !=[]:
self.win = Toplevel()
self.win.geometry("600x400")
self.win.configure(bg="#102027")
Label(self.win,text="Tytus 2020",font=("Times New Roman",30),fg="#ffffff", bg="#102027").place(x=230,y=10)
self.tabla = ttk.Treeview(self.win,columns = 1)
self.tabla.grid(row=1,column=0,columnspan=1)
self.tabla.place(x=100,y=100)
self.tabla.heading("#0",text="No.",anchor=SW)
self.tabla.heading("#1",text="Datos",anchor=CENTER)
cont = len(self.z)
for i in self.z:
tmp = ""
for j in i:
tmp += str(j) + ","
tmp = tmp[:-1]
tmp = tmp.replace(" ","_")
self.tabla.insert('',0,text=cont,values=tmp)
cont -= 1
else:
messagebox.showinfo(message="Por favor ingrese los campos o\nla tabla seleccionada no contiene Datos",
title="Datos Incompletos")
def resize_image(self,event):
self.W = event.width
self.H = event.height
self.image = self.copy.resize((self.W, self.H))
self.foto = ImageTk.PhotoImage(self.image)
self.label.config(image = self.foto)
self.label.image = self.foto
def RangleTB(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Extraer Rango de una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=100)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=100)
Button(self.ndb, text="Aceptar", command=self._RangleTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=100)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=105)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _RangleTB(self):
if self.com.get() != "Seleccionar":
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=150)
Button(self.ndb, text="Aceptar", command=self.__RangleTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.con.place(x=240,y=150)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __RangleTB(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
r = B.serializar.rollback("BDD")
a = r.dicDB[str(self.com.get())][str(self.con.get())][1]-1
Label(self.ndb,text="Numero de Columna: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Label(self.ndb,text="Limite Inferior: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
Label(self.ndb,text="Limite Superior: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=300)
self.num = StringVar()
self.lower = StringVar()
self.upper = StringVar()
if a > 0:
self.r = Spinbox(self.ndb, from_= 0,to =a,font=("Times New Roman",15),fg="black", bg="white",state="readonly",width=10,textvariable = self.num)
else:
self.r = Spinbox(self.ndb, values=0,font=("Times New Roman",15),fg="black", bg="white",state="readonly",width=10,textvariable = self.num)
self.r.place(x=300,y=202)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=15,textvariable = self.lower).place(x=300,y=250)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=15,textvariable = self.upper).place(x=300,y=300)
Button(self.ndb, text="Aceptar", command=self.ShowRangle,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def ShowRangle(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
self.z = B.extractRangeTable(str(self.com.get()),str(self.con.get()),int(self.num.get()),self.lower.get(),self.upper.get())
if self.z != None and self.z !=[]:
self.win = Toplevel()
self.win.geometry("600x400")
self.win.configure(bg="#102027")
Label(self.win,text="Tytus 2020",font=("Times New Roman",30),fg="#ffffff", bg="#102027").place(x=230,y=10)
self.tabla = ttk.Treeview(self.win,columns = 1)
self.tabla.grid(row=1,column=0,columnspan=1)
self.tabla.place(x=100,y=100)
self.tabla.heading("#0",text="No.",anchor=CENTER)
self.tabla.heading("#1",text="Datos",anchor=CENTER)
cont = len(self.z)
for i in self.z:
tmp = ""
for j in i:
tmp += j + ","
tmp = tmp[:-1]
tmp = tmp.replace(" ", "_")
self.tabla.insert('',0,text=cont,values=tmp)
cont -= 1
else:
messagebox.showinfo(message="Por favor ingrese los campos o\nla tabla seleccionada no contiene Datos",
title="Datos Incompletos")
def AddPK(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Agregar Primary Key a una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._AdPK,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _AdPK(self):
if self.com.get() != "Seleccionar":
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar", command=self.__AdPK,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __AdPK(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
Label(self.ndb,text="Numeros de Columna: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
self.keys = StringVar()
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=15,textvariable = self.keys).place(x=300,y=250)
Button(self.ndb, text="Aceptar", command=self.LlaveAd,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def LlaveAd(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar" and self.keys.get()!="":
a = self.keys.get().split(",")
n = []
for i in a:
n.append(int(i))
c = B.alterAddPK(self.com.get(),self.con.get(),n)
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
elif c == 4:
messagebox.showinfo(message="Llave primaria existente\n",
title="Primary Key")
elif c == 5:
messagebox.showinfo(message="Columnas Fuera de Rango\n",
title="Columns out range")
def DropPK(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eiminar Primary Key de una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._DropPK,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _DropPK(self):
if self.com.get() != "Seleccionar":
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar", command=self.__DropPK,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __DropPK(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
c = B.alterDropPK(self.com.get(),self.con.get())
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
elif c == 4:
messagebox.showinfo(message="Llave primaria no existente\n",
title="Not Primary Key")
def AlterTB(self):
if self.dell:
self.ndb.destroy()
self.dell = False
else:
self.Funciones.destroy()
self.isPantFunciones = 1
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Cambiar nombre a una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._AlterTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _AlterTB(self):
if self.com.get() != "Seleccionar":
self.name = StringVar()
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Label(self.ndb,text="Nuevo Nombre: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
Button(self.ndb, text="Aceptar", command=self.__AlterTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=225)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.name).place(x=250,y=250)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __AlterTB(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar" and self.name.get()!="":
c = B.alterTable(self.com.get(),self.con.get(),self.name.get())
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
self.dell = True
self.AlterTB()
def AddCL(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Agregar una columna una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._AddCl,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _AddCl(self):
if self.com.get() != "Seleccionar":
self.name = StringVar()
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar", command=self.__AddCl,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __AddCl(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar":
self.addcol = StringVar()
Label(self.ndb,text="Dato a ingresar: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.addcol).place(x=250,y=250)
Button(self.ndb, text="Aceptar", command=self.AddColumna,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def AddColumna(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar" and self.addcol.get()!="":
c = B.alterAddColumn(self.com.get(),self.con.get(),self.addcol.get())
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Error")
def DropCL(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eliminar una columna una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._DropCL,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _DropCL(self):
if self.com.get() != "Seleccionar":
self.name = StringVar()
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar", command=self.__DropCL,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __DropCL(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar":
a = B.b.dicDB[str(self.com.get())][str(self.con.get())][1]
self.dropcl = StringVar()
Label(self.ndb,text="Columna: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=125,y=250)
Spinbox(self.ndb,from_=0,to=a-1,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.dropcl).place(x=250,y=250)
Button(self.ndb, text="Aceptar", command=self.DeleteCol,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def DeleteCol(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar" and self.dropcl.get()!="":
c = B.alterDropColumn(self.com.get(),self.con.get(),int(self.dropcl.get()))
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Error")
def DropTB(self):
if self.dell:
self.ndb.destroy()
self.dell = False
else:
self.Funciones.destroy()
self.isPantFunciones = 1
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eliminar una Tabla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=350)
Button(self.ndb, text="Aceptar", command=self._DropTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=205)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _DropTB(self):
if self.com.get() != "Seleccionar":
self.name = StringVar()
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Button(self.ndb, text="Aceptar", command=self.__DropTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=250)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __DropTB(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar":
a = messagebox.askquestion(message="Seguro que desea eliminar la\n Tabla"+str(self.con.get()+"\nesta accion no puede revertirse"),
title="Confirmacion")
if a != "no":
c = B.dropTable(self.com.get(),self.con.get())
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Base de Datos no Existe")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Tabla no Existe")
self.dell = True
self.DropTB()
else:
self.con.current(0)
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Error")
#--------------------------FUNCIONES DE TUPLAS ------------------------#
def insertTP(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Insertar una tupla",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=650,y=150)
Button(self.ndb, text="Aceptar", command=self._insertTP,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
def _insertTP(self):
if self.com.get() != "Seleccionar":
self.tupla = StringVar()
Label(self.ndb,text="Tablas: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Label(self.ndb,text="Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Button(self.ndb, text="Aceptar", command=self.__insert,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.tupla).place(x=250,y=250)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __insert(self):
if self.com.get() != "Seleccionar" and self.con.get()!="Seleccionar" and self.tupla.get()!="":
a = self.tupla.get().split(",")
c = B.insert(self.com.get(),self.con.get(),a)
if c == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Data Base does not exist")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Table does not exist")
elif c == 4:
messagebox.showinfo(message="Llave primaria duplicada\n",
title="Duplicate Primay Key")
elif c == 5:
messagebox.showinfo(message="Columnas fuera de limites\n",
title="Columns out range")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def CargarCSV(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Cargar un archivo",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=350)
Button(self.ndb, text="Aceptar", command=self._CargarCSV,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
def _CargarCSV(self):
if self.com.get() != "Seleccionar":
self.name = StringVar()
Label(self.ndb,text="Tabla: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Label(self.ndb,text="Archivo: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
Button(self.ndb, text="Aceptar", command=self.__CargarCSV,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=225)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.name).place(x=250,y=250)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __CargarCSV(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Selecionar" and self.name.get() != "":
z = B.loadCSV(str(self.name.get()),str(self.com.get()),str(self.con.get()))
succes = False
for c in z:
if c == 0:
succes = True
elif c == 1:
messagebox.showinfo(message="Ha ocurrido un error\n en una fila",
title="Error")
elif c == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Data Base does not exist")
elif c == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Table does not exist")
elif c == 4:
messagebox.showinfo(message="Llave primaria duplicada\n en una fila",
title="Duplicate Primay Key")
elif c == 5:
messagebox.showinfo(message="Columnas fuera de limites\n de una fila",
title="Columns out range")
if succes:
messagebox.showinfo(message="Operacion realizada con exito\n",
title="Succes")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def ExtRow(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Extraer una Fila",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=400)
Button(self.ndb, text="Aceptar", command=self._ExtRow,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
def _ExtRow(self):
if self.com.get() != "Seleccionar":
self.colums = StringVar()
Label(self.ndb,text="Tabla: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=200)
Button(self.ndb, text="Aceptar", command=self.ExR,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def ExR(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Selecionar":
Label(self.ndb,text="Llaves: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=250)
self.nodos = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.nodos.place(x=240,y=250)
aux = ["Seleccionar"]
self.o = B.serializar.rollback(str(self.com.get())+"-"+str(self.con.get())+"-B").Keys()
for i in self.o:
aux.append(i)
self.nodos["values"] = aux
self.nodos.current(0)
Button(self.ndb, text="Aceptar", command=self.__ExtRow,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def __ExtRow(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Selecionar" and self.nodos.get() != "":
a = str(self.nodos.get())
k = a.split("_")
c = B.extractRow(str(self.com.get()),str(self.con.get()),k)
if c != []:
z = ""
for i in c:
z += str(i) + ", "
z = z[:-2]
Label(self.ndb,text= z ,font=("Times New Roman",20),fg="black", bg="white",width=50).place(x=25,y=310)
else:
messagebox.showinfo(message="Fila vacia\n",
title="Empty Row")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def Up(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Actualizar una Fila",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=400)
Button(self.ndb, text="Aceptar", command=self._Up,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
def _Up(self):
if self.com.get() != "Seleccionar":
Label(self.ndb,text="Tabla: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar",font=("Times New Roman",15),command = self.__Up,fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __Up(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Selecionar":
self.register = StringVar()
self.nodos = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.nodos.place(x=240,y=250)
aux = ["Seleccionar"]
self.o = B.serializar.rollback(str(self.com.get())+"-"+str(self.con.get())+"-B").Keys()
for i in self.o:
aux.append(i)
self.nodos["values"] = aux
self.nodos.current(0)
Label(self.ndb,text="Llaves: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Label(self.ndb,text="Registro: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=140,y=300)
Entry(self.ndb,font=("Times New Roman",15),fg="black", bg="white",width=20,textvariable = self.register).place(x=250,y=305)
Button(self.ndb, text="Aceptar", command=self.Upp,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=275)
def Upp(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Selecionar" and self.nodos!="Seleccionar" and self.register!="":
a = self.register.get()
b = a.split(",")
c = []
dic = {}
for i in b:
c.append(i.split(":"))
for i in c:
dic[int(i[0])] = str(i[1])
d = str(self.nodos.get()) # Se hace casteo porque daba error hacer el split directo
e = d.split(",")
z = B.update(str(self.com.get()),str(self.con.get()),dic,e)
if z == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif z == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif z == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Data Base does not exist")
elif z == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Table does not exist")
elif z == 4:
messagebox.showinfo(message="Llave primaria no existe\n",
title="Primay Key does not exist")
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def DeleteTP(self):
self.isPantFunciones = 1
self.Funciones.destroy()
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eliminar una Fila",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=400)
Button(self.ndb, text="Aceptar", command=self._DeleteTP,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
def _DeleteTP(self):
if self.com.get() != "Seleccionar":
self.register = StringVar()
Label(self.ndb,text="Tabla: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar",font=("Times New Roman",15),command = self.__DeleteTP,fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __DeleteTP(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
self.nodos = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.nodos.place(x=240,y=250)
aux = ["Seleccionar"]
self.o = B.serializar.rollback(str(self.com.get())+"-"+str(self.con.get())+"-B").Keys()
for i in self.o:
aux.append(i)
self.nodos["values"] = aux
self.nodos.current(0)
Label(self.ndb,text="Llaves: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=250)
Button(self.ndb, text="Aceptar", command=self.F,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=250)
def F(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar" and self.nodos.get()!="Seleccionar":
a = messagebox.askquestion(message="Seguro que desea eliminar la\n la fila "+str(self.nodos.get()+"\nesta accion no puede revertirse"),
title="Confirmacion")
if a != "no":
z = B.delete(str(self.com.get()), str(self.con.get()),self.nodos.get().split("_"))
if z == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif z == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif z == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Data Base does not exist")
elif z == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Table does not exist")
elif z == 4:
messagebox.showinfo(message="Llave primaria no existe\n",
title="Primay Key does not exist")
else:
self.nodos.current(0)
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def TruncateTB(self):
if self.dell:
self.ndb.destroy()
self.dell = False
else:
self.Funciones.destroy()
self.isPantFunciones = 1
self.ndb = Frame(height=500, width=800)
self.ndb.config(bg="#37474f")
self.ndb.pack(padx=15, pady=15)
Label(self.ndb,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.ndb,text="Eliminar una Fila",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.ndb,text="Bases de Datos: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=50,y=150)
self.com = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.com.place(x=240,y=155)
aux = ["Seleccionar"]
for i in B.showDatabases():
aux.append(i)
self.com["values"] = aux
self.com.current(0)
Button(self.ndb, text="Atras", command=self.AccederPestanaFunciones,font=("Times New Roman",15),fg="#102027",bg="red",width=10).place(x=300,y=300)
Button(self.ndb, text="Aceptar", command=self._TruncateTB,font=("Times New Roman",15),fg="#102027",bg="#ff6f00",width=10).place(x=500,y=150)
def _TruncateTB(self):
if self.com.get() != "Seleccionar":
self.register = StringVar()
Label(self.ndb,text="Tabla: ",font=("Times New Roman",20),fg="#ffffff", bg="#37474f").place(x=150,y=200)
Button(self.ndb, text="Aceptar",font=("Times New Roman",15),command = self.__TruncateTB,fg="#102027",bg="#ff6f00",width=10).place(x=500,y=200)
self.con = ttk.Combobox(self.ndb,state="readonly",font=("Times New Roman",15))
self.con.place(x=240,y=200)
aux = ["Seleccionar"]
for i in B.showTables(str(self.com.get())):
aux.append(i)
self.con["values"] = aux
self.con.current(0)
def __TruncateTB(self):
if self.com.get() != "Seleccionar" and self.con.get() != "Seleccionar":
a = messagebox.askquestion(message="Seguro que desea eliminar\n todos los registros de \n"+str(self.con.get()+"\n esta accion no puede revertirse"),
title="Confirmacion")
if a != "no":
z = B.truncate(str(self.com.get()), str(self.con.get()))
if z == 0:
messagebox.showinfo(message="Operacion Realizada con Exito\n",
title="Succes")
elif z == 1:
messagebox.showinfo(message="Ha ocurrido un error\n",
title="Error")
elif z == 2:
messagebox.showinfo(message="La base de Datos no Existe\n",
title="Data Base does not exist")
elif z == 3:
messagebox.showinfo(message="La Tabla no existe\n",
title="Table does not exist")
self.dell = True
self.TruncateTB()
else:
self.con.current(0)
else:
messagebox.showinfo(message="Algo anda mal\n",
title="Something's wrong")
def AcercaDe(self):
self.FrameInicial.destroy()
self.isAcerca = True
self.isPantFunciones = 0
self.Acerca = Frame(height=500, width=800)
self.Acerca.config(bg="#37474f")
self.Acerca.pack(padx=15, pady=15)
self.t3 = PhotoImage(file="team17/docs/img/t3.png")
Label(self.Acerca, image = self.t3, bg="#37474f").place(x=575,y=300)
Label(self.Acerca,text="Tytus 2020",font=("Times New Roman",40),fg="#ffffff", bg="#37474f").place(x=250,y=10)
Label(self.Acerca,text="Acerca De",font=("Times New Roman",10),fg="#ffffff", bg="#37474f").place(x=250,y=70)
Label(self.Acerca,text="Universidad San Carlos de Guatemala",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=100)
Label(self.Acerca,text="Facultad de Ingeniera",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=125)
Label(self.Acerca,text="Escuela de Ciencias y Sistemas",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=150)
Label(self.Acerca,text="Estructuras de Datos",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=175)
Label(self.Acerca,text="Ing. Luis Espino",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=200)
Label(self.Acerca,text="Aux. Andree Avalos",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=225)
Label(self.Acerca,text="Programadadores: ",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=250,y=265)
Label(self.Acerca,text="Adrian Samuel Molina Cabrera",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=300,y=300)
Label(self.Acerca,text="Diego Andrés Obín Rosales",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=300,y=325)
Label(self.Acerca,text="German José Paz Cordón",font=("Times New Roman",15),fg="#ffffff", bg="#37474f").place(x=300,y=350)
Button(self.Acerca,text="Atras",font=("Times New Roman",15),fg="black",bg="white",command=self.pantalla1, width=10).place(x=325,y=400)
#--------------------------------SALIR----------------------------------------#
def Salir(self):
messagebox.showinfo(message="Hasta la proximaaaa\n",title="Exit")
self.PP.destroy()
| 55.101408
| 172
| 0.549576
| 10,421
| 78,244
| 4.115248
| 0.041551
| 0.04603
| 0.075831
| 0.107427
| 0.901201
| 0.889285
| 0.87231
| 0.856057
| 0.840923
| 0.825883
| 0
| 0.077938
| 0.270768
| 78,244
| 1,419
| 173
| 55.14024
| 0.673665
| 0.008563
| 0
| 0.7112
| 0
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| 0.202905
| 0.000604
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0568
| false
| 0
| 0.004
| 0
| 0.0616
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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|
0
| 7
|
4d7ab7c7f1c559621876f5b81d472be6d798690e
| 30,800
|
py
|
Python
|
pycaged/__init__.py
|
heitorcmesquita/pycaged
|
8f24a777a116df6664ddf5fbf0b45fdbbc1fb1d0
|
[
"MIT"
] | 6
|
2020-10-28T14:45:02.000Z
|
2022-02-01T18:35:47.000Z
|
pycaged/__init__.py
|
heitorcmesquita/pycaged
|
8f24a777a116df6664ddf5fbf0b45fdbbc1fb1d0
|
[
"MIT"
] | 1
|
2021-04-08T22:31:42.000Z
|
2021-04-08T22:43:12.000Z
|
pycaged/__init__.py
|
heitorcmesquita/pycaged
|
8f24a777a116df6664ddf5fbf0b45fdbbc1fb1d0
|
[
"MIT"
] | null | null | null |
from os import remove
from py7zr import SevenZipFile
import pandas as pd
import wget
#Extraindo dados mensais que serão utilizados
class caged:
def add_fxet(idade):
if idade >= 10 and idade <=14:
fxet = 1
elif idade >= 15 and idade <=17:
fxet = 2
elif idade >= 18 and idade <=24:
fxet = 3
elif idade >= 25 and idade <=29:
fxet = 4
elif idade >= 30 and idade <=39:
fxet = 5
elif idade >= 40 and idade <=49:
fxet = 6
elif idade >= 50 and idade < 64:
fxet = 7
elif idade > 65:
fxet = 8
else:
fxet = 99
return fxet
def __init__(self, ano, mes):
self.year = str(ano)
#Baixando dados de classificação de emprego do IBGE e criando dicionário de meses
url = 'https://docs.google.com/spreadsheets/d/1bMFKpREb4YlW2ZzW1WVLdMN59ol-iLw5/export?format=xlsx'
wget.download(url, 'cnae.xlsx')
cnae = pd.read_excel('cnae.xlsx', index_col = None)
dicmes = {'01':'Janeiro', '02':'Fevereiro','03':'Março', '04':'Abril','05':'Maio', '06':'Junho', '07':'Julho', '08':'Agosto', '09':'Setembro', '10':'Outubro','11':'Novembro', '12':'Dezembro'}
self.cnae = cnae
self.dicmes = dicmes
self.ano = ano
self.mes = mes
remove('cnae.xlsx')
del url
def getDataMunicipios(self):
if self.ano < 2020:
#Baixando e extraindo microdados
url = "ftp://ftp.mtps.gov.br/pdet/microdados/CAGED/"+self.year+"/CAGEDEST_"+self.mes+self.year+".7z"
wget.download(url, 'caged.7z')
archive = SevenZipFile('caged.7z', mode = 'r')
archive.extractall()
print('microdados baixados com sucesso, passando para leitura')
#Lendo o arquivo txt (tem alguns sem '_')
data = pd.DataFrame()
try:
for chunk in pd.read_csv('CAGEDEST_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = chunk[(chunk.UF == self.uf)].reset_index()
chunk['Salário Mensal'] = [d.replace(',','.') for d in chunk['Salário Mensal']]
chunk['Salário Mensal'] = pd.to_numeric(chunk['Salário Mensal'])
chunk['FxEt'] = list(map(caged.add_fxet, chunk['Idade']))
data = data.append(chunk)
self.data = data
except FileNotFoundError:
try:
for chunk in pd.read_csv('CAGEDEST'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = chunk[(chunk.UF == self.uf)].reset_index()
chunk['Salário Mensal'] = [d.replace(',','.') for d in chunk['Salário Mensal']]
chunk['Salário Mensal'] = pd.to_numeric(chunk['Salário Mensal'])
chunk['FxEt'] = list(map(caged.add_fxet, chunk['Idade']))
data = data.append(chunk)
self.data = data
except:
for chunk in pd.read_csv('CAGED_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = chunk[(chunk.UF == self.uf)].reset_index()
chunk['Salário Mensal'] = [d.replace(',','.') for d in chunk['Salário Mensal']]
chunk['Salário Mensal'] = pd.to_numeric(chunk['Salário Mensal'])
chunk['FxEt'] = list(map(caged.add_fxet, chunk['Idade']))
data = data.append(chunk)
self.data = data
#Excluindo os arquivos que já não serão usados
archive.close()
remove('caged.7z')
try:
remove('CAGEDEST_'+self.mes+self.year+'.txt')
except FileNotFoundError:
try:
remove('CAGEDEST'+self.mes+self.year+'.txt')
except :
remove('CAGED_'+self.mes+self.year+'.txt')
del url
print('microdados lidos, fazendo cálculos')
elif self.ano >= 2020:
#Baixando e extraindo microdados
url = 'ftp://ftp.mtps.gov.br/pdet/microdados/NOVO CAGED/Movimentações/'+ self.year+ '/' + self.dicmes[self.mes]+'/CAGEDMOV'+self.year+self.mes+'.7z'
try:
wget.download(url, 'caged.7z')
except:
print('Os microdados do mês selecionado ainda não estão disponíveis')
archive = SevenZipFile('caged.7z', mode = 'r')
archive.extractall()
print('microdados baixados com sucesso, passando para leitura')
#Lendo o arquivo txt e filtrando por UF
data = pd.DataFrame()
for chunk in pd.read_csv('CAGEDMOV'+ self.year + self.mes +'.txt', sep = ';', encoding = 'UTF-8', chunksize = 100000):
chunk = chunk[(chunk.uf == self.uf)].reset_index()
chunk['FxEt'] = list(map(caged.add_fxet, chunk['idade']))
data = data.append(chunk)
self.data = data
print('microdados lidos, fazendo cálculos')
#Excluindo os arquivos que já não serão usados
archive.close()
remove('caged.7z')
remove('CAGEDMOV'+self.year+self.mes+'.txt')
del url
def getDataEstados(self):
if self.ano < 2020:
#Baixando e extraindo microdados
url = "ftp://ftp.mtps.gov.br/pdet/microdados/CAGED/"+self.year+"/CAGEDEST_"+self.mes+self.year+".7z"
wget.download(url, 'caged.7z')
archive = SevenZipFile('caged.7z', mode = 'r')
archive.extractall()
archive.close()
remove('caged.7z')
print('microdados baixados com sucesso, passando para leitura')
data = pd.DataFrame()
self.data = data
del url
elif self.ano >= 2020:
#Baixando e extraindo microdados
url = 'ftp://ftp.mtps.gov.br/pdet/microdados/NOVO CAGED/Movimentações/'+ self.year+ '/' + self.dicmes[self.mes]+'/CAGEDMOV'+self.year+self.mes+'.7z'
try:
wget.download(url, 'caged.7z')
except:
print('Os microdados do mês selecionado ainda não estão disponíveis')
archive = SevenZipFile('caged.7z', mode = 'r')
archive.extractall()
archive.close()
remove('caged.7z')
print('microdados baixados com sucesso, passando para leitura')
data = pd.DataFrame()
self.data = data
del url
def getMSubclasse(self, uf):
self.uf = uf
caged.getDataMunicipios(self)
data = self.data
if self.ano < 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data['Count'] = ''
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data['região'] = self.year
data['Count'] = ''
data.rename(columns = {"município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", "subclasse":"CNAE 2.0 Subclas", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Sexo'] = data['Sexo'].replace(3,2)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def getESubclasse(self):
caged.getDataEstados(self)
data = self.data
if self.ano < 2020:
try:
for chunk in pd.read_csv('CAGEDEST_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except FileNotFoundError:
try:
for chunk in pd.read_csv('CAGEDEST'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except:
for chunk in pd.read_csv('CAGED_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
#Excluindo os arquivos que já não serão usados
try:
remove('CAGEDEST_'+self.mes+self.year+'.txt')
except FileNotFoundError:
try:
remove('CAGEDEST'+self.mes+self.year+'.txt')
except :
remove('CAGED_'+self.mes+self.year+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
for chunk in pd.read_csv('CAGEDMOV'+ self.year + self.mes +'.txt', sep = ';', encoding = 'UTF-8', chunksize = 100000):
chunk['região'] = self.year
chunk['Count'] = ''
chunk.rename(columns = {"uf":"UF","município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", "subclasse":"CNAE 2.0 Subclas", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
chunk['Admitidos/Desligados'] = chunk['Admitidos/Desligados'].replace(2,-1)
chunk['Sexo'] = chunk['Sexo'].replace(3,2)
data = data.append(chunk)
remove('CAGEDMOV'+self.year+self.mes+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'CNAE 2.0 Subclas', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def getMClasse(self, uf):
self.uf = uf
caged.getDataMunicipios(self)
data = self.data
if self.ano < 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data = pd.merge(data, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
data['Count'] = ''
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data = pd.merge(data, self.cnae, left_on = 'subclasse', right_on = 'Subclasse', how = 'left')
data['região'] = self.year
data['Count'] = ''
data.rename(columns = {"município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", "subclasse":"CNAE 2.0 Subclas", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Sexo'] = data['Sexo'].replace(3,2)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def getEClasse(self):
caged.getDataEstados(self)
data = self.data
if self.ano < 2020:
try:
for chunk in pd.read_csv('CAGEDEST_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except FileNotFoundError:
try:
for chunk in pd.read_csv('CAGEDEST'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except:
for chunk in pd.read_csv('CAGED_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
#Excluindo os arquivos que já não serão usados
try:
remove('CAGEDEST_'+self.mes+self.year+'.txt')
except FileNotFoundError:
try:
remove('CAGEDEST'+self.mes+self.year+'.txt')
except :
remove('CAGED_'+self.mes+self.year+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
for chunk in pd.read_csv('CAGEDMOV'+ self.year + self.mes +'.txt', sep = ';', encoding = 'UTF-8', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'subclasse', right_on = 'Subclasse', how = 'left')
chunk['região'] = self.year
chunk['Count'] = ''
chunk.rename(columns = {"uf":"UF", "município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
chunk['Admitidos/Desligados'] = chunk['Admitidos/Desligados'].replace(2,-1)
chunk['Sexo'] = chunk['Sexo'].replace(3,2)
data = data.append(chunk)
remove('CAGEDMOV'+self.year+self.mes+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Classe', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def getMSecao(self, uf):
self.uf = uf
caged.getDataMunicipios(self)
data = self.data
if self.ano < 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data = pd.merge(data, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
data['Count'] = ''
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
#Contando número de contratações e demissões em um DF separado. Fazendo a média salárial do agrupamento
data['região'] = self.year
data['Count'] = ''
data.rename(columns = {"município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", "seção":"Seção", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
data3 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].median()
data2 = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Count'].count()
data = data.groupby(['Município', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo', 'FxEt'], as_index = False)['Salário Mensal'].mean()
data['uf'] = self.uf
data['Count'] = ''
data['Salário Mensal Mediano'] = ''
data['mes'] = self.mes
#Trazendo dados de quantidade de contratações e demissões, e retornando DF
for k in range(0,len(data2)):
data['Count'][k] = data2['Count'][k]
for k in range(0,len(data3)):
data['Salário Mensal Mediano'][k] = data3['Salário Mensal'][k]
data['Admitidos/Desligados'] = data['Admitidos/Desligados'].replace(2,-1)
data['Sexo'] = data['Sexo'].replace(3,2)
data['Salário Mensal'].fillna(0, inplace = True)
data['Salário Mensal'] = data['Salário Mensal'].astype(int)
data['Salário Mensal Mediano'].fillna(0, inplace = True)
data['Salário Mensal Mediano'] = data['Salário Mensal Mediano'].astype(int)
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def getESecao(self):
caged.getDataEstados(self)
data = self.data
if self.ano < 2020:
try:
for chunk in pd.read_csv('CAGEDEST_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except FileNotFoundError:
try:
for chunk in pd.read_csv('CAGEDEST'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
except:
for chunk in pd.read_csv('CAGED_'+self.mes+self.year+'.txt', sep = ';', encoding = 'iso-8859-1', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'CNAE 2.0 Subclas', right_on = 'Subclasse', how = 'left')
chunk['Count'] = ''
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
data = data.append(chunk)
#Excluindo os arquivos que já não serão usados
try:
remove('CAGEDEST_'+self.mes+self.year+'.txt')
except FileNotFoundError:
try:
remove('CAGEDEST'+self.mes+self.year+'.txt')
except :
remove('CAGED_'+self.mes+self.year+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
if self.ano >= 2020:
for chunk in pd.read_csv('CAGEDMOV'+ self.year + self.mes +'.txt', sep = ';', encoding = 'UTF-8', chunksize = 100000):
chunk = pd.merge(chunk, self.cnae, left_on = 'subclasse', right_on = 'Subclasse', how = 'left')
chunk['região'] = self.year
chunk['Count'] = ''
chunk.rename(columns = {"uf":"UF", "município":"Município", "saldomovimentação":"Admitidos/Desligados", "região":"Ano Declarado", 'sexo':'Sexo', 'salário':'Salário Mensal'}, inplace = True)
chunk = chunk.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].count()
chunk['mes'] = self.mes
chunk['Admitidos/Desligados'] = chunk['Admitidos/Desligados'].replace(2,-1)
chunk['Sexo'] = chunk['Sexo'].replace(3,2)
data = data.append(chunk)
remove('CAGEDMOV'+self.year+self.mes+'.txt')
data = data.groupby(['UF', 'Admitidos/Desligados', 'Ano Declarado', 'Seção', 'Sexo'], as_index = False)['Count'].sum()
self.data = data
print('Os dados do mês ' + self.mes + ' de ' + self.year + ' foram retornados com sucesso')
return data
def SubclasseMunicipios(ano, mes, uf):
data = caged(ano, mes)
data = data.getMSubclasse(uf)
return data
def ClasseMunicipios(ano, mes, uf):
data = caged(ano, mes)
data = data.getMClasse(uf)
return data
def SecaoMunicipios(ano, mes, uf):
data = caged(ano, mes)
data = data.getMSecao(uf)
return data
def SubclasseEstados(ano, mes):
data = caged(ano, mes)
data = data.getESubclasse()
return data
def ClasseEstados(ano, mes):
data = caged(ano, mes)
data = data.getEClasse()
return data
def SecaoEstados(ano, mes):
data = caged(ano, mes)
data = data.getESecao()
return data
| 56.513761
| 237
| 0.527955
| 3,347
| 30,800
| 4.825217
| 0.074395
| 0.067616
| 0.050526
| 0.069102
| 0.926687
| 0.922353
| 0.922353
| 0.920372
| 0.914985
| 0.909226
| 0
| 0.021535
| 0.324578
| 30,800
| 544
| 238
| 56.617647
| 0.754795
| 0.052955
| 0
| 0.864444
| 0
| 0.002222
| 0.248156
| 0.005902
| 0
| 0
| 0
| 0
| 0
| 1
| 0.035556
| false
| 0.008889
| 0.008889
| 0
| 0.088889
| 0.044444
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4df62972fd7ed2d20cb41bdc9e203fbadfb5af8a
| 177
|
py
|
Python
|
build/build.py
|
aaron19950321/ICOM
|
d5bd0705776c505dd1df0a1c76a07fee2d218394
|
[
"PSF-2.0",
"BSD-3-Clause"
] | 5
|
2018-10-09T13:39:31.000Z
|
2020-03-26T18:39:49.000Z
|
build/build.py
|
aaron19950321/ICOM
|
d5bd0705776c505dd1df0a1c76a07fee2d218394
|
[
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null |
build/build.py
|
aaron19950321/ICOM
|
d5bd0705776c505dd1df0a1c76a07fee2d218394
|
[
"PSF-2.0",
"BSD-3-Clause"
] | 2
|
2018-10-09T13:39:36.000Z
|
2018-10-09T23:18:39.000Z
|
import os
os.chdir('D:\\ICOM_P')
#python pyinstaller --noconfirm --log-level=WARN --onefile ICOM_NEW.spec
pyinstaller --noconfirm --log-level=WARN --onefile ICOM_NEW.spec
| 35.4
| 74
| 0.734463
| 26
| 177
| 4.884615
| 0.576923
| 0.314961
| 0.362205
| 0.440945
| 0.787402
| 0.787402
| 0.787402
| 0.787402
| 0.787402
| 0
| 0
| 0
| 0.112994
| 177
| 4
| 75
| 44.25
| 0.808917
| 0.40678
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 11
|
12a54c2793906026bceec3cc8fdb4bcdd67e5f11
| 7,942
|
py
|
Python
|
packages/gtmapi/lmsrvlabbook/tests/test_note_service.py
|
gigabackup/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 60
|
2018-09-26T15:46:00.000Z
|
2021-10-10T02:37:14.000Z
|
packages/gtmapi/lmsrvlabbook/tests/test_note_service.py
|
gigabackup/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 1,706
|
2018-09-26T16:11:22.000Z
|
2021-08-20T13:37:59.000Z
|
packages/gtmapi/lmsrvlabbook/tests/test_note_service.py
|
griffinmilsap/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 11
|
2019-03-14T13:23:51.000Z
|
2022-01-25T01:29:16.000Z
|
import pytest
import os
from snapshottest import snapshot
from lmsrvlabbook.tests.fixtures import fixture_working_dir
from graphene.test import Client
import graphene
from mock import patch
from gtmcore.configuration import Configuration
from gtmcore.inventory.inventory import InventoryManager
class TestNoteService(object):
def test_create_user_note_no_body(self, fixture_working_dir, snapshot):
"""Test creating and getting a user note"""
# Create labbook
im = InventoryManager()
lb = im.create_labbook("default", "default", "user-note-test",
description="testing user notes")
# Create a user note
query = """
mutation makeUserNote {
createUserNote(input: {
owner: "default",
labbookName: "user-note-test",
title: "I think this is a thing"
})
{
newActivityRecordEdge {
node{
message
detailObjects{
data
type
show
importance
tags
}
type
show
importance
tags
}
}
}
}
"""
snapshot.assert_match(fixture_working_dir[2].execute(query))
def test_create_user_note_full(self, fixture_working_dir, snapshot):
"""Test creating a full user note"""
# Create labbook
lb = InventoryManager().create_labbook("default", "default",
"user-note-test",
description="testing user notes")
# Create a user note
query = """
mutation makeUserNote {
createUserNote(input: {
owner: "default",
labbookName: "user-note-test",
title: "I think this is a thing",
body: "##AND THIS IS A BODY\\n- asdggf\\n-asdf",
tags: ["this", "and", "that"]
})
{
newActivityRecordEdge {
node{
message
detailObjects{
data
type
show
importance
tags
}
type
show
importance
tags
}
}
}
}
"""
snapshot.assert_match(fixture_working_dir[2].execute(query))
def test_create_user_note_check_vals(self, fixture_working_dir, snapshot):
"""Test to make sure keys and IDs are getting set OK"""
# Create labbook
im = InventoryManager()
lb = im.create_labbook("default", "default", "user-note-test",
description="testing user notes")
# Create a user note
query = """
mutation makeUserNote {
createUserNote(input: {
owner: "default",
labbookName: "user-note-test",
title: "I think this is a thing",
body: "##AND THIS IS A BODY\\n- asdggf\\n-asdf",
tags: ["this", "and", "that"]
})
{
newActivityRecordEdge {
node{
message
detailObjects{
id
key
data
type
show
importance
tags
}
id
commit
linkedCommit
type
show
importance
tags
}
cursor
}
}
}
"""
result = fixture_working_dir[2].execute(query)
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['id']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['id']) == str
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['commit']) == 40
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['commit']) == str
assert result['data']['createUserNote']['newActivityRecordEdge']['node']['linkedCommit'] == "no-linked-commit"
assert result['data']['createUserNote']['newActivityRecordEdge']['node']['message'] == "I think this is a thing"
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['id']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['id']) == str
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['key']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['key']) == str
assert "AND THIS IS A BODY" in result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['data'][0][1]
def test_create_user_note_check_vals_dataset(self, fixture_working_dir, snapshot):
"""Test to make sure keys and IDs are getting set OK"""
# Create labbook
im = InventoryManager()
ds = im.create_dataset("default", "default", "user-note-test", storage_type='gigantum_object_v1',
description="testing user notes")
# Create a user note
query = """
mutation makeUserNote {
createUserNote(input: {
owner: "default",
datasetName: "user-note-test",
title: "I think this is a thing",
body: "##AND THIS IS A BODY\\n- asdggf\\n-asdf",
tags: ["this", "and", "that"]
})
{
newActivityRecordEdge {
node{
message
detailObjects{
id
key
data
type
show
importance
tags
}
id
commit
linkedCommit
type
show
importance
tags
}
cursor
}
}
}
"""
result = fixture_working_dir[2].execute(query)
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['id']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['id']) == str
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['commit']) == 40
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['commit']) == str
assert result['data']['createUserNote']['newActivityRecordEdge']['node']['linkedCommit'] == "no-linked-commit"
assert result['data']['createUserNote']['newActivityRecordEdge']['node']['message'] == "I think this is a thing"
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['id']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['id']) == str
assert len(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['key']) > 10
assert type(result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['key']) == str
assert "AND THIS IS A BODY" in result['data']['createUserNote']['newActivityRecordEdge']['node']['detailObjects'][0]['data'][0][1]
| 37.286385
| 138
| 0.500755
| 661
| 7,942
| 5.945537
| 0.155825
| 0.165394
| 0.134351
| 0.251908
| 0.893639
| 0.881679
| 0.881679
| 0.850891
| 0.850891
| 0.850891
| 0
| 0.007064
| 0.376102
| 7,942
| 212
| 139
| 37.462264
| 0.786075
| 0.038403
| 0
| 0.758427
| 0
| 0
| 0.614676
| 0.082851
| 0
| 0
| 0
| 0
| 0.134831
| 1
| 0.022472
| false
| 0
| 0.095506
| 0
| 0.123596
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
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| 1
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| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 9
|
42689f4b8bc5406fdaace14f5b28335c6c175970
| 23,940
|
py
|
Python
|
biserici_inlemnite/app/migrations/0030_auto_20210924_1627.py
|
ck-tm/biserici-inlemnite
|
c9d12127b92f25d3ab2fcc7b4c386419fe308a4e
|
[
"MIT"
] | null | null | null |
biserici_inlemnite/app/migrations/0030_auto_20210924_1627.py
|
ck-tm/biserici-inlemnite
|
c9d12127b92f25d3ab2fcc7b4c386419fe308a4e
|
[
"MIT"
] | null | null | null |
biserici_inlemnite/app/migrations/0030_auto_20210924_1627.py
|
ck-tm/biserici-inlemnite
|
c9d12127b92f25d3ab2fcc7b4c386419fe308a4e
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.1.13 on 2021-09-24 13:27
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
import wagtail.core.fields
class Migration(migrations.Migration):
dependencies = [
('nomenclatoare', '0013_historicalmaterialinvelitoareturle_materialinvelitoareturle'),
('app', '0029_auto_20210924_1550'),
]
operations = [
migrations.AddField(
model_name='descrierepage',
name='finisaj_exterior_observatii',
field=wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații'),
),
migrations.AddField(
model_name='descrierepage',
name='finisaj_exterior_tip',
field=models.ManyToManyField(blank=True, to='nomenclatoare.FinisajExterior', verbose_name='Tip'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_material',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur', to='nomenclatoare.finisajexterior', verbose_name='Material'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_observatii',
field=wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_cu_horj',
field=models.BooleanField(default=False, verbose_name='Șindrila cu horj'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_cu_tesitura',
field=models.BooleanField(default=False, verbose_name='Șindrila cu teșitură'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_grosime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (grosime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_latime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lățime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_lungime',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lungime)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_numar_straturi',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (număr straturi)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_pasul_baterii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul baterii)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrila_pasul_latuirii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul lățuirii)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrlia_esenta_lemnoasa',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur_turn_sindrlia_esenta', to='nomenclatoare.esentalemnoasa', verbose_name='Șindrila (esență lemnoasă)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrlia_forma_botului',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur_turn', to='nomenclatoare.tipbotsindrila', verbose_name='Șindrila (forma botului)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrlia_prelucrare',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur_turn', to='nomenclatoare.tipprelucraresindrila', verbose_name='Șindrila (prelucrare)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrlia_tipul_de_batere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur_turn', to='nomenclatoare.tipbateresindrila', verbose_name='Șindrila (tipul de batere)'),
),
migrations.AddField(
model_name='descrierepage',
name='inchidere_tambur_turn_sindrlia_tipul_prindere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='inchidere_tambur_turn', to='nomenclatoare.tipprinderesindrila', verbose_name='Șindrila (tipul de prindere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_material',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp', to='nomenclatoare.finisajexterior', verbose_name='Material'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_observatii',
field=wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_cu_horj',
field=models.BooleanField(default=False, verbose_name='Șindrila cu horj'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_cu_tesitura',
field=models.BooleanField(default=False, verbose_name='Șindrila cu teșitură'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_grosime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (grosime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_latime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lățime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_lungime',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lungime)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_numar_straturi',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (număr straturi)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_pasul_baterii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul baterii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrila_pasul_latuirii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul lățuirii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrlia_esenta_lemnoasa',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp_sindrlia_esenta', to='nomenclatoare.esentalemnoasa', verbose_name='Șindrila (esență lemnoasă)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrlia_forma_botului',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp', to='nomenclatoare.tipbotsindrila', verbose_name='Șindrila (forma botului)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrlia_prelucrare',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp', to='nomenclatoare.tipprelucraresindrila', verbose_name='Șindrila (prelucrare)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrlia_tipul_de_batere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp', to='nomenclatoare.tipbateresindrila', verbose_name='Șindrila (tipul de batere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_corp_sindrlia_tipul_prindere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_corp', to='nomenclatoare.tipprinderesindrila', verbose_name='Șindrila (tipul de prindere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_material',
field=models.ManyToManyField(blank=True, to='nomenclatoare.MaterialInvelitoareTurle', verbose_name='Material'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_observatii',
field=wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_cu_horj',
field=models.BooleanField(default=False, verbose_name='Șindrila cu horj'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_cu_tesitura',
field=models.BooleanField(default=False, verbose_name='Șindrila cu teșitură'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_grosime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (grosime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_latime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lățime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_lungime',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lungime)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_numar_straturi',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (număr straturi)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_pasul_baterii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul baterii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrila_pasul_latuirii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul lățuirii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrlia_esenta_lemnoasa',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turle_sindrlia_esenta', to='nomenclatoare.esentalemnoasa', verbose_name='Șindrila (esență lemnoasă)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrlia_forma_botului',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turle', to='nomenclatoare.tipbotsindrila', verbose_name='Șindrila (forma botului)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrlia_prelucrare',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turle', to='nomenclatoare.tipprelucraresindrila', verbose_name='Șindrila (prelucrare)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrlia_tipul_de_batere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turle', to='nomenclatoare.tipbateresindrila', verbose_name='Șindrila (tipul de batere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turle_sindrlia_tipul_prindere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turle', to='nomenclatoare.tipprinderesindrila', verbose_name='Șindrila (tipul de prindere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_material',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn', to='nomenclatoare.finisajexterior', verbose_name='Material'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_observatii',
field=wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_cu_horj',
field=models.BooleanField(default=False, verbose_name='Șindrila cu horj'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_cu_tesitura',
field=models.BooleanField(default=False, verbose_name='Șindrila cu teșitură'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_grosime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (grosime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_latime_medie',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lățime medie)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_lungime',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (lungime)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_numar_straturi',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (număr straturi)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_pasul_baterii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul baterii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrila_pasul_latuirii',
field=models.IntegerField(blank=True, null=True, verbose_name='Șindrila (pasul lățuirii)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrlia_esenta_lemnoasa',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn_sindrlia_esenta', to='nomenclatoare.esentalemnoasa', verbose_name='Șindrila (esență lemnoasă)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrlia_forma_botului',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn', to='nomenclatoare.tipbotsindrila', verbose_name='Șindrila (forma botului)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrlia_prelucrare',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn', to='nomenclatoare.tipprelucraresindrila', verbose_name='Șindrila (prelucrare)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrlia_tipul_de_batere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn', to='nomenclatoare.tipbateresindrila', verbose_name='Șindrila (tipul de batere)'),
),
migrations.AddField(
model_name='descrierepage',
name='invelitoare_turn_sindrlia_tipul_prindere',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='invelitoare_turn', to='nomenclatoare.tipprinderesindrila', verbose_name='Șindrila (tipul de prindere)'),
),
migrations.AlterField(
model_name='ctitori',
name='page',
field=modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.PROTECT, related_name='ctitori', to='app.istoricpage'),
),
migrations.AlterField(
model_name='descrierepage',
name='fundatia',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='p_biserici', to='nomenclatoare.tipfundatie', verbose_name='Tip'),
),
migrations.AlterField(
model_name='descrierepage',
name='sistem_in_catei',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='p_biserici', to='nomenclatoare.tipstructuracatei', verbose_name='Tip'),
),
migrations.AlterField(
model_name='descrierepage',
name='sistem_in_cheotoare',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='p_biserici', to='nomenclatoare.tipstructuracheotoare', verbose_name='Tip'),
),
migrations.AlterField(
model_name='mesteri',
name='page',
field=modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.PROTECT, related_name='mesteri', to='app.istoricpage'),
),
migrations.AlterField(
model_name='personalitati',
name='page',
field=modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.PROTECT, related_name='personalitati', to='app.istoricpage'),
),
migrations.AlterField(
model_name='zugravi',
name='page',
field=modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.PROTECT, related_name='zugravi', to='app.istoricpage'),
),
migrations.CreateModel(
name='FinisajePronaos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('observatii', wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații')),
('element', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='nomenclatoare.elementbiserica')),
('material', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='nomenclatoare.finisaj')),
('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='finisaje_pronaos', to='app.descrierepage')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='FinisajePortic',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('observatii', wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații')),
('element', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='nomenclatoare.elementbiserica')),
('material', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='nomenclatoare.finisaj')),
('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='finisaje_portic', to='app.descrierepage')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='FinisajeNaos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('observatii', wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații')),
('element', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='nomenclatoare.elementbiserica')),
('material', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='nomenclatoare.finisaj')),
('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='finisaje_naos', to='app.descrierepage')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.CreateModel(
name='FinisajeAltar',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
('observatii', wagtail.core.fields.RichTextField(blank=True, null=True, verbose_name='Observații')),
('element', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='nomenclatoare.elementbiserica')),
('material', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='nomenclatoare.finisaj')),
('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='finisaje_altar', to='app.descrierepage')),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
]
| 56.595745
| 237
| 0.662448
| 2,392
| 23,940
| 6.397993
| 0.061037
| 0.04293
| 0.056913
| 0.074425
| 0.960141
| 0.958442
| 0.957331
| 0.939166
| 0.933155
| 0.921785
| 0
| 0.00193
| 0.220677
| 23,940
| 422
| 238
| 56.729858
| 0.818352
| 0.001921
| 0
| 0.701923
| 1
| 0
| 0.285033
| 0.153985
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.009615
| 0
| 0.016827
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
35fda91a8476ad9b8b9394d146e4e43a5ba7cc28
| 8,773
|
py
|
Python
|
test/k8s_metrics_tests/metric_data/stats.py
|
alexanderldavis/splunk-connect-for-kubernetes
|
01bf0876e5f355b26825821a3b1d1a398cde4fde
|
[
"Apache-2.0"
] | null | null | null |
test/k8s_metrics_tests/metric_data/stats.py
|
alexanderldavis/splunk-connect-for-kubernetes
|
01bf0876e5f355b26825821a3b1d1a398cde4fde
|
[
"Apache-2.0"
] | null | null | null |
test/k8s_metrics_tests/metric_data/stats.py
|
alexanderldavis/splunk-connect-for-kubernetes
|
01bf0876e5f355b26825821a3b1d1a398cde4fde
|
[
"Apache-2.0"
] | 1
|
2022-03-16T09:54:43.000Z
|
2022-03-16T09:54:43.000Z
|
from test.k8s_metrics_tests.metric_data.helper import (
greater,
greater_or_equal,
should_exist,
some_should_be_greater,
)
stats_metrics = [
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.cpu.cfs.periods",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.cpu.cfs.throttled_periods",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.cpu.cfs.throttled_time",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.cpu.usage.total",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.cpu.usage.user",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.cpu.usage.system",
"selector": "node",
},
{
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"name": "kube.node.cpu.load_average",
"selector": "node",
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{
"assertions": [[should_exist, None], [greater, 0]],
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"selector": "node",
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{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.diskio.*.stats.Read",
"selector": "node",
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{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.diskio.*.Sync",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.diskio.*.stats.Total",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.diskio.*.stats.Write",
"selector": "node",
},
{
"assertions": [[greater_or_equal, 0]],
"name": "kube.node.diskio.*.minor",
"selector": "node",
},
{
"assertions": [[greater_or_equal, 0]],
"name": "kube.node.diskio.*.major",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.filesystem.available",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.base_usage",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.filesystem.capacity",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.filesystem.inodes",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.filesystem.inodes_free",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.io_in_progress",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.io_time",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.read_time",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.reads_completed",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.reads_merged",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.sectors_read",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.sectors_written",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.filesystem.usage",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.weighted_io_time",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.write_time",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.writes_completed",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.filesystem.writes_merged",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.cache",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.container_data.pgfault",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.memory.container_data.pgmajfault",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.memory.failcnt",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.hierarchical_data.pgfault",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.memory.hierarchical_data.pgmajfault",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.max_usage",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.rss",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.memory.swap",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.usage",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater, 0]],
"name": "kube.node.memory.working_set",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.tasks_stats.nr_io_wait",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.tasks_stats.nr_running",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.tasks_stats.nr_sleeping",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.tasks_stats.nr_stopped",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.tasks_stats.nr_uninterruptible",
"selector": "node",
},
{
"assertions": [[should_exist, None], [some_should_be_greater, 0]],
"name": "kube.node.network.*.rx_bytes",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.network.*.rx_dropped",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.network.*.rx_errors",
"selector": "node",
},
{
"assertions": [[should_exist, None], [some_should_be_greater, 0]],
"name": "kube.node.network.*.rx_packets",
"selector": "node",
},
{
"assertions": [[should_exist, None], [some_should_be_greater, 0]],
"name": "kube.node.network.*.tx_bytes",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.network.*.tx_dropped",
"selector": "node",
},
{
"assertions": [[should_exist, None], [greater_or_equal, 0]],
"name": "kube.node.network.*.tx_errors",
"selector": "node",
},
{
"assertions": [[should_exist, None], [some_should_be_greater, 0]],
"name": "kube.node.network.*.tx_packets",
"selector": "node",
},
]
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0
| 7
|
c470d291cc472ef0b6f42b9b6e8b613ef17167b4
| 290
|
py
|
Python
|
config/settings/__init__.py
|
hyphae/apis-service_center
|
0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1
|
[
"Apache-2.0"
] | null | null | null |
config/settings/__init__.py
|
hyphae/apis-service_center
|
0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1
|
[
"Apache-2.0"
] | 3
|
2021-03-20T10:35:08.000Z
|
2022-03-21T16:54:05.000Z
|
config/settings/__init__.py
|
hyphae/apis-service_center
|
0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1
|
[
"Apache-2.0"
] | null | null | null |
"""設定ファイルを切り替えて起動できるようにするため settings.py を settings パッケージ化
以下のコマンドで起動時に設定ファイルを指定することができる.
- $ ./manage.py runserver --settings=config.settings.deploy_example ...
- $ uwsgi --env DJANGO_SETTINGS_MODULE=config.settings.deploy_example ...
指定しなければ base.py の内容が有効になる.
"""
from .base import *
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| 74
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| 1
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|
0
| 7
|
672cd3a0f283590f989e96f8e31e13b4d62cdc8d
| 6,429
|
py
|
Python
|
tests/segmentation_test.py
|
BHAR-HumanActivity/B-HAR
|
2bd6960d79de6d7cf4241e44dd8e269ffc00b1d3
|
[
"MIT"
] | 1
|
2021-03-06T16:25:39.000Z
|
2021-03-06T16:25:39.000Z
|
tests/segmentation_test.py
|
BHAR-HumanActivity/B-HAR
|
2bd6960d79de6d7cf4241e44dd8e269ffc00b1d3
|
[
"MIT"
] | null | null | null |
tests/segmentation_test.py
|
BHAR-HumanActivity/B-HAR
|
2bd6960d79de6d7cf4241e44dd8e269ffc00b1d3
|
[
"MIT"
] | 2
|
2021-02-02T16:21:16.000Z
|
2021-08-30T02:59:15.000Z
|
import unittest
from b_har.baseline import B_HAR
from b_har.utility.configurator import Configurator
from datetime import datetime
import warnings
class SegmentationTestCase(unittest.TestCase):
p = '/home/ict/PycharmProjects/config.cfg'
ds_path = '/home/ict/B-HAR Compatible/'
def test_segmentation_daphnet(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('daphnet', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'daphnet'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '4')
Configurator(self.p).set('settings', 'sampling_frequency', '64')
Configurator(self.p).set('settings', 'overlap', '0.5')
Configurator(self.p).set('cleaning', 'low_cut', '20')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_hhar_phone(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print(
'%s -> %s' % ('hhar_phone', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'hhar_phone'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '2')
Configurator(self.p).set('settings', 'sampling_frequency', '200')
Configurator(self.p).set('settings', 'overlap', '1')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_hhar_watch(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print(
'%s -> %s' % ('hhar_watch', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'hhar_watch'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '2')
Configurator(self.p).set('settings', 'sampling_frequency', '200')
Configurator(self.p).set('settings', 'overlap', '1')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_mhealth(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('mhealth', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'mhealth'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'dcp')
Configurator(self.p).set('settings', 'time', '5')
Configurator(self.p).set('settings', 'sampling_frequency', '50')
Configurator(self.p).set('settings', 'overlap', '2.5')
Configurator(self.p).set('cleaning', 'low_cut', '20')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_papam(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('papam', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'papam'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '2')
Configurator(self.p).set('settings', 'sampling_frequency', '100')
Configurator(self.p).set('settings', 'overlap', '0')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_wisdm_v1(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('wisdm_v1', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'wisdm_v1'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '10')
Configurator(self.p).set('settings', 'sampling_frequency', '20')
Configurator(self.p).set('settings', 'overlap', '0')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
def test_segmentation_wisdm_v2(self):
Configurator(self.p).set('settings', 'log_dir', 'logs')
bhar = B_HAR(self.p)
print('%s -> %s' % ('wisdm_v2', str(datetime.fromtimestamp(datetime.timestamp(datetime.now()))).split('.')[0]))
Configurator(self.p).set('dataset', 'path', '%s%s' % (self.ds_path, 'wisdm_v2'))
Configurator(self.p).set('settings', 'data_treatment', 'segmentation')
Configurator(self.p).set('dataset', 'header_type', 'tdcp')
Configurator(self.p).set('settings', 'time', '10')
Configurator(self.p).set('settings', 'sampling_frequency', '20')
Configurator(self.p).set('settings', 'overlap', '0')
Configurator(self.p).set('cleaning', 'filter', 'no')
bhar.get_baseline(['K-NN', 'LDA', 'QDA', 'RF', 'DT'], ['m1_acc'])
self.assertEqual(True, True)
# -----------------------------
if __name__ == '__main__':
warnings.filterwarnings('ignore')
unittest.main()
| 54.483051
| 119
| 0.609426
| 784
| 6,429
| 4.875
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| 0.843276
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| 6,429
| 117
| 120
| 54.948718
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| 0.240857
| 0.005627
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| 1
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| false
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| null | 0
| 1
| 1
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
6734a277815f4a34c7c7316684d0d6705a71e117
| 5,554
|
py
|
Python
|
welford/test_welford.py
|
a-mitani/welford
|
b7f96b9ad5e803d6de665c7df1cdcfb2a53bddc8
|
[
"MIT"
] | 6
|
2021-02-23T16:50:17.000Z
|
2022-02-05T18:26:07.000Z
|
welford/test_welford.py
|
a-mitani/welford
|
b7f96b9ad5e803d6de665c7df1cdcfb2a53bddc8
|
[
"MIT"
] | 2
|
2021-07-31T11:01:55.000Z
|
2021-08-16T15:11:57.000Z
|
welford/test_welford.py
|
a-mitani/welford
|
b7f96b9ad5e803d6de665c7df1cdcfb2a53bddc8
|
[
"MIT"
] | null | null | null |
import numpy as np
from welford import Welford
def test_init():
a = np.array([[0]])
w = Welford(a)
assert w.count == 1
assert np.allclose(w.mean, np.array([0]))
assert np.alltrue(np.isnan(w.var_s))
assert np.allclose(w.var_p, np.array([0]))
a = np.array([[0], [1]])
w = Welford(a)
assert w.count == 2
assert np.allclose(w.mean, np.array([0.5]))
assert np.allclose(w.var_s, np.array([0.5]))
assert np.allclose(w.var_p, np.array([0.25]))
a = np.array([[0, 100], [1, 110], [2, 120], [3, 130], [4, 140]])
w = Welford(a)
assert w.count == 5
assert np.allclose(w.mean, np.array([2, 120]))
assert np.allclose(w.var_s, np.array([2.5, 250]))
assert np.allclose(w.var_p, np.array([2, 200]))
a = np.arange(60).reshape(3, 4, 5)
w = Welford(a)
assert w.mean.shape == w.var_s.shape == w.var_p.shape == (4, 5)
assert np.allclose(w.mean, np.mean(a, axis=0))
assert np.allclose(w.var_s, np.var(a, axis=0, ddof=1))
assert np.allclose(w.var_p, np.var(a, axis=0, ddof=0))
def test_add():
w = Welford()
w.add(np.array([0, 100]))
assert np.allclose(w.mean, np.array([0, 100]))
assert np.alltrue(np.isnan(w.var_s))
assert np.allclose(w.var_p, np.array([0, 0]))
w.add(np.array([1, 110]))
assert np.allclose(w.mean, np.array([0.5, 105]))
assert np.allclose(w.var_s, np.array([0.5, 50]))
assert np.allclose(w.var_p, np.array([0.25, 25]))
w = Welford()
w.add(np.array([[0, 100, 1000], [2, 220, 2200]]))
w.add(np.array([[1, 110, 1100], [2, 220, 2200]]))
assert np.allclose(w.mean, np.array([[0.5, 105, 1050], [2, 220, 2200]]))
assert np.allclose(w.var_s, np.array([[0.5, 50, 5000], [0, 0, 0]]))
assert np.allclose(w.var_p, np.array([[0.25, 25, 2500], [0, 0, 0]]))
def test_add_all():
w = Welford()
a = np.array([[0, 100], [1, 110], [2, 120], [3, 130], [4, 140]])
w.add_all(a)
assert w.count == 5
assert np.allclose(w.mean, np.array([2, 120]))
assert np.allclose(w.var_s, np.array([2.5, 250]))
assert np.allclose(w.var_p, np.array([2, 200]))
w = Welford()
a = np.array([[0, 100]])
w.add_all(a)
assert w.count == 1
assert np.allclose(w.mean, np.array([0, 100]))
assert np.alltrue(np.isnan(w.var_s))
assert np.allclose(w.var_p, np.array([0, 0]))
a = np.array([[1, 110], [2, 120], [3, 130], [4, 140]])
w.add_all(a)
assert w.count == 5
assert np.allclose(w.mean, np.array([2, 120]))
assert np.allclose(w.var_s, np.array([2.5, 250]))
assert np.allclose(w.var_p, np.array([2, 200]))
w = Welford()
a = np.array([[[0, 100, 1000], [2, 220, 2200]], [[1, 110, 1100], [2, 220, 2200]]])
w.add_all(a)
assert w.count == 2
assert np.allclose(w.mean, np.array([[0.5, 105, 1050], [2, 220, 2200]]))
assert np.allclose(w.var_s, np.array([[0.5, 50, 5000], [0, 0, 0]]))
assert np.allclose(w.var_p, np.array([[0.25, 25, 2500], [0, 0, 0]]))
def test_rollback():
a = np.array([[0, 100]])
w = Welford(a)
a = np.array([1, 110])
w.add(a)
assert np.allclose(w.mean, np.array([0.5, 105]))
assert np.allclose(w.var_s, np.array([0.5, 50]))
assert np.allclose(w.var_p, np.array([0.25, 25]))
w.rollback()
a = np.array([2, 120])
w.add(a)
assert w.count == 2
assert np.allclose(w.mean, np.array([1, 110]))
assert np.allclose(w.var_s, np.array([2, 200]))
assert np.allclose(w.var_p, np.array([1, 100]))
a = np.array([[2, 120], [3, 130]])
w.add_all(a)
w.rollback()
assert w.count == 2
assert np.allclose(w.mean, np.array([1, 110]))
assert np.allclose(w.var_s, np.array([2, 200]))
assert np.allclose(w.var_p, np.array([1, 100]))
w = Welford()
w.add(np.array([[0, 100, 1000], [2, 220, 2200]]))
w.add(np.array([[1, 110, 1100], [2, 220, 2200]]))
w.rollback()
w.add(np.array([[2, 120, 1200], [2, 220, 2200]]))
assert np.allclose(w.mean, np.array([[1.0, 110, 1100], [2, 220, 2200]]))
assert np.allclose(w.var_s, np.array([[2.0, 200, 20000], [0, 0, 0]]))
assert np.allclose(w.var_p, np.array([[1, 100, 10000], [0, 0, 0]]))
def test_merge():
a = np.array([[0, 100], [1, 110], [2, 120], [3, 130], [4, 140]])
wa = Welford(a)
b = np.array([[5, 150], [6, 160], [7, 170]])
wb = Welford(b)
wa.merge(wb)
assert wa.count == 8
assert np.allclose(wa.mean, np.array([3.5, 135]))
assert np.allclose(wa.var_s, np.array([6, 600]))
assert np.allclose(wa.var_p, np.array([5.25, 525]))
wa.rollback()
c = np.array([[5, 150], [6, 160], [7, 170], [8, 180], [9, 190], [10, 200]])
wc = Welford(c)
wa.merge(wc)
assert wa.count == 11
assert np.allclose(wa.mean, np.array([5, 150]))
assert np.allclose(wa.var_s, np.array([11, 1100]))
assert np.allclose(wa.var_p, np.array([10, 1000]))
a = np.array([[0, 100]])
wa = Welford(a)
b = np.array([[1, 110]])
wb = Welford(b)
wa.merge(wb)
assert wa.count == 2
assert np.allclose(wa.mean, np.array([0.5, 105]))
assert np.allclose(wa.var_s, np.array([0.5, 50]))
assert np.allclose(wa.var_p, np.array([0.25, 25]))
wa = Welford(np.array([[[0, 100, 1000], [2, 220, 2200]]]))
wb = Welford(np.array([[[1, 110, 1100], [2, 220, 2200]]]))
wa.merge(wb)
assert wa.count == 2
assert np.allclose(wa.mean, np.array([[0.5, 105, 1050], [2, 220, 2200]]))
assert np.allclose(wa.var_s, np.array([[0.5, 50, 5000], [0, 0, 0]]))
assert np.allclose(wa.var_p, np.array([[0.25, 25, 2500], [0, 0, 0]]))
| 34.496894
| 86
| 0.564278
| 1,026
| 5,554
| 3.004873
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| 0.674992
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| 5,554
| 160
| 87
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| 0.051852
| 0
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| null | 0
| 1
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0
| 8
|
67538b323182ed0ce821ca5d681c08210fb135d5
| 18,838
|
py
|
Python
|
opensand-testbed/testbeds.py
|
jhuwyler/qpep
|
3b06f02f749cbc14ff9988ad6d9411f0a666f5f9
|
[
"Unlicense"
] | null | null | null |
opensand-testbed/testbeds.py
|
jhuwyler/qpep
|
3b06f02f749cbc14ff9988ad6d9411f0a666f5f9
|
[
"Unlicense"
] | null | null | null |
opensand-testbed/testbeds.py
|
jhuwyler/qpep
|
3b06f02f749cbc14ff9988ad6d9411f0a666f5f9
|
[
"Unlicense"
] | null | null | null |
import subprocess
import os
from loguru import logger
import nclib
import docker
import time
import xml.etree.ElementTree as ET
from dotenv import load_dotenv
load_dotenv()
class BasicTestbed(object):
def __init__(self, host_ip="192.168.1.199", display_number=0, linux=False):
self.host_ip = host_ip
self.display_number = display_number
self.linux = linux
def start_testbed(self):
# First, shut down any old running testbeds
logger.debug("Shutting Down Previous Testbeds")
subprocess.call(["docker-compose", "down"], stderr=subprocess.DEVNULL)
# The DISPLAY env variable points to an X server for showing OpenSAND UI
my_env = {**os.environ, 'DISPLAY': str(self.host_ip) + ":" + str(self.display_number)}
logger.debug("Starting Testbed Containers")
# Start the docker containers
subprocess.call(["docker-compose", "up", "-d"], env=my_env)
# Wait for the opensand container to initialize then send a command to run the simulation
logger.debug("Starting Opensand Platform")
opensand_launched = False
while not opensand_launched:
try:
nc = nclib.Netcat(('localhost', int(os.getenv('SAT_PORT_NUMBER'))), verbose=False)
nc.recv_until(b'help')
nc.recv()
nc.send(b'status\n')
response = nc.recv()
opensand_launched = ('SAT' in str(response)) and ('GW0' in str(response)) and ('ST1' in str(response))
except nclib.errors.NetcatError:
continue
time.sleep(1) # it often takes a little while for Opensand to identify all hosts
logger.debug("Launching Opensand Simulation")
nc.send(b'start\n')
simulation_running = False
while not simulation_running:
nc.send(b'status\n')
response = str(nc.recv())
# wait for all three components (satellite, terminal and gateway) to start running
simulation_running = response.count('RUNNING') > 3
# now that the network is running, it is possible to add ip routes from user terminal through the network
logger.debug("Connecting User Terminal to Satellite Spot Beam")
docker_client = docker.from_env()
terminal_container = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
terminal_container.exec_run("/sbin/ip route delete default")
terminal_container.exec_run("/sbin/ip route add default via " + str(os.getenv("GW_NETWORK_HEAD")) + ".0.3")
logger.success("OpeSAND Testbed Running")
def stop_testbed(self):
logger.debug("Shutting Down Previous Testbeds")
subprocess.call(["docker-compose", "down"])
def connect_terminal_workstation(self):
logger.debug("Starting User Workstation")
docker_client = docker.from_env()
workstation_container = docker_client.containers.get(os.getenv("WS_ST_CONTAINER_NAME"))
logger.debug("Adding External Route to Docker Host for GUI Services")
workstation_container.exec_run("ip route add " + str(self.host_ip) + " via " + str(os.getenv("GUI_NETWORK_HEAD"))+".0.1 dev eth1")
logger.debug("Connecting User Workstation to Satellite Router")
workstation_container.exec_run("ip route del default")
workstation_container.exec_run("ip route add default via " + str(os.getenv("ST_NETWORK_HEAD"))+".0.4")
logger.success("Client Workstation Connected to Satellite Network")
def connect_sitespeed_workstation(self):
logger.debug("Starting Sitespeed Workstation")
docker_client = docker.from_env()
sitespeed_container = docker_client.containers.get(os.getenv("SITESPEED_CONTAINER_NAME"))
sitespeed_container.exec_run("ip route del default")
sitespeed_container.exec_run("ip route add default via " + str(os.getenv("ST_NETWORK_HEAD"))+".0.4")
logger.success("Sitespeed Workstation Connected to Satellite Network")
def launch_wireshark(self):
logger.debug("Starting Wireshark on Satellite Endpoint")
docker_client = docker.from_env()
satellite_container = docker_client.containers.get(os.getenv("SAT_CONTAINER_NAME"))
satellite_container.exec_run("wireshark", detach=True)
def launch_web_browser(self):
logger.debug("Launching Web Browser on User Workstation")
docker_client = docker.from_env()
workstation_container = docker_client.containers.get(os.getenv("WS_ST_CONTAINER_NAME"))
workstation_container.exec_run("qupzilla", detach=True)
def set_downlink_attenuation(self, attenuation_value=0):
logger.debug("Setting OpenSAND Downlink Attenuation to " + str(attenuation_value))
gw_path = 'satellite/attenuation_scenario/gw0/plugins/ideal.conf'
st_path = 'satellite/attenuation_scenario/st1/plugins/ideal.conf'
gw_conf = ET.parse(gw_path)
st_conf = ET.parse(st_path)
xml_confs = [gw_conf.getroot(), st_conf.getroot()]
for conf in xml_confs:
attenuation_settings = conf.findall('ideal/ideal_attenuations/ideal_attenuation')
for setting in attenuation_settings:
if setting.attrib["link"] == "down":
setting.set("attenuation_value", str(attenuation_value))
gw_conf.write(gw_path)
st_conf.write(st_path)
logger.debug("Updated Downlink Attenuations")
def set_plr_percentage(self, plr_percentage, st_out=False, gw_out=True):
logger.debug("Configuring Packet Loss Rate")
docker_client = docker.from_env()
containers_to_mod = []
if st_out:
logger.debug("Setting PLR for ST->GW at " + str(plr_percentage))
containers_to_mod.append(docker_client.containers.get(os.getenv("ST_CONTAINER_NAME")))
if gw_out:
logger.debug("Setting PLR for GW->ST at " + str(plr_percentage))
containers_to_mod.append(docker_client.containers.get(os.getenv("GW_CONTAINER_NAME")))
for container in containers_to_mod:
response = container.exec_run('/sbin/tc qdisc change dev opensand_tun root netem loss ' + str(plr_percentage) + "%", stderr=True, stdout=True)
if "RTNETLINK" in str(response.output):
container.exec_run('/sbin/tc qdisc add dev opensand_tun root netem loss ' + str(plr_percentage) + "%", stderr=True, stdout=True)
logger.debug("Updated PLR to " + str(plr_percentage) + "%")
def run_attenuation_scenario(self):
logger.debug("Running Attenuation Scenario")
# wait to connect to opensand
opensand_launched = False
nc = None
while not opensand_launched:
try:
nc = nclib.Netcat(('localhost', int(os.getenv('SAT_PORT_NUMBER'))), verbose=False)
nc.recv_until(b'help')
nc.recv()
opensand_launched = True
except:
continue
logger.debug("Connected to NC Listener")
# stop running scenarios if any
nc.send(b'stop\n')
nc.recv_until(b'OK', timeout=10)
nc.recv()
# opensand reports that the testbed has stopped a little before it actually has
time.sleep(1)
# load attenuation scenario
nc.send(b'scenario attenuation_scenario\n')
nc.recv_until(b'OK', timeout=10)
nc.recv()
# start new scenario
nc.send(b'start\n')
nc.recv_until(b'OK', timeout=10)
logger.debug("Scenario Restarted")
nc.recv()
# ensure that the terminal modem is still connected
docker_client = docker.from_env()
terminal_container = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
#terminal_container.exec_run("/sbin/ip route delete default")
terminal_container.exec_run("/sbin/ip route add default via " + str(os.getenv("GW_NETWORK_HEAD"))+".0.3")
logger.debug("Attenuation Scenario Launched")
class LeoTestbed(BasicTestbed):
def start_testbed(self):
# First, shut down any old running testbeds
logger.debug("Shutting Down Previous Testbeds")
subprocess.call(["docker-compose", "down"], stderr=subprocess.DEVNULL)
# The DISPLAY env variable points to an X server for showing OpenSAND UI
my_env = {**os.environ, 'DISPLAY': str(self.host_ip) + ":" + str(self.display_number)}
logger.debug("Starting Testbed Containers")
# Start the docker containers
subprocess.call(["docker-compose", "up", "-d"], env=my_env)
# Wait for the opensand container to initialize then send a command to run the simulation
logger.debug("Starting Opensand Platform")
opensand_launched = False
while not opensand_launched:
try:
nc = nclib.Netcat(('localhost', int(os.getenv('SAT_PORT_NUMBER'))), verbose=False)
nc.recv_until(b'help')
nc.recv()
nc.send(b'status\n')
response = nc.recv()
opensand_launched = ('SAT' in str(response)) and ('GW0' in str(response)) and ('ST1' in str(response))
except nclib.errors.NetcatError:
continue
logger.debug("Loading Iridium Delay Simulation")
nc.send(b'scenario delay_scenario\n')
nc.recv_until(b'OK', timeout=10)
nc.recv()
time.sleep(1) # it often takes a little while for Opensand to identify all hosts
logger.debug("Launching Opensand Simulation")
nc.send(b'start\n')
simulation_running = False
while not simulation_running:
nc.send(b'status\n')
response = str(nc.recv())
# wait for all three components (satellite, terminal and gateway) to start running
simulation_running = response.count('RUNNING') > 3
# now that the network is running, it is possible to add ip routes from user terminal through the network
logger.debug("Connecting User Terminal to Satellite Spot Beam")
docker_client = docker.from_env()
terminal_container = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
terminal_container.exec_run("/sbin/ip route delete default")
terminal_container.exec_run("/sbin/ip route add default via " + str(os.getenv("GW_NETWORK_HEAD")) + ".0.3")
logger.success("OpeSAND Testbed Running")
class BasicPEPTestbed(object):
def __init__(self, host_ip="192.168.1.199", display_number=0, linux=False):
self.host_ip = host_ip
self.display_number = display_number
self.linux = linux
def start_testbed(self):
# First, shut down any old running testbeds
logger.debug("Shutting Down Previous Testbeds")
subprocess.call(["docker-compose", "down"], stderr=subprocess.DEVNULL)
# The DISPLAY env variable points to an X server for showing OpenSAND UI
my_env = {**os.environ, 'DISPLAY': str(self.host_ip) + ":" + str(self.display_number)}
logger.debug("Starting Testbed Containers")
# Start the docker containers
subprocess.call(["docker-compose", "up", "-d"], env=my_env)
# Wait for the opensand container to initialize then send a command to run the simulation
logger.debug("Starting Opensand Platform")
opensand_launched = False
while not opensand_launched:
try:
nc = nclib.Netcat(('localhost', int(os.getenv('SAT_PORT_NUMBER'))), verbose=False)
nc.recv_until(b'help')
nc.recv()
nc.send(b'status\n')
response = nc.recv()
opensand_launched = ('SAT' in str(response)) and ('GW0' in str(response)) and ('ST1' in str(response))
except nclib.errors.NetcatError:
continue
time.sleep(1) # it often takes a little while for Opensand to identify all hosts
logger.debug("Launching Opensand Simulation")
nc.send(b'start\n')
simulation_running = False
while not simulation_running:
nc.send(b'status\n')
response = str(nc.recv())
# wait for all three components (satellite, terminal and gateway) to start running
simulation_running = response.count('RUNNING') > 3
# now that the network is running, it is possible to add ip routes from user terminal through the network
logger.debug("Connecting User Terminal to Satellite Spot Beam")
docker_client = docker.from_env()
terminal_container = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
terminal_container.exec_run("/sbin/ip route delete default")
terminal_container.exec_run("/sbin/ip route add default via " + str(os.getenv("GW_NETWORK_HEAD")) + ".0.3")
logger.debug("Starting PEPsal on terminal workstation")
terminal_client = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
terminal_client.exec_run("bash /opensand_config/launch_pepsal.sh")
logger.debug("Deploying PEPsal on Gateway Endpoint")
gateway_client = docker_client.containers.get(os.getenv("GW_CONTAINER_NAME"))
gateway_client.exec_run("bash /opensand_config/launch_pepsal.sh")
logger.success("OpeSAND Testbed Running")
def stop_testbed(self):
logger.debug("Shutting Down Previous Testbeds")
subprocess.call(["docker-compose", "down"])
def connect_terminal_workstation(self):
logger.debug("Starting User Workstation")
docker_client = docker.from_env()
workstation_container = docker_client.containers.get(os.getenv("WS_ST_CONTAINER_NAME"))
logger.debug("Adding External Route to Docker Host for GUI Services")
workstation_container.exec_run("ip route add " + str(self.host_ip) + " via " + str(os.getenv("GUI_NETWORK_HEAD"))+".0.1 dev eth1")
logger.debug("Connecting User Workstation to Satellite Router")
workstation_container.exec_run("ip route del default")
workstation_container.exec_run("ip route add default via " + str(os.getenv("ST_NETWORK_HEAD"))+".0.4")
logger.success("Client Workstation Connected to Satellite Network")
def connect_sitespeed_workstation(self):
logger.debug("Starting Sitespeed Workstation")
docker_client = docker.from_env()
sitespeed_container = docker_client.containers.get(os.getenv("SITESPEED_CONTAINER_NAME"))
sitespeed_container.exec_run("ip route del default")
sitespeed_container.exec_run("ip route add default via " + str(os.getenv("ST_NETWORK_HEAD"))+".0.4")
logger.success("Sitespeed Workstation Connected to Satellite Network")
def launch_wireshark(self):
logger.debug("Starting Wireshark on Satellite Endpoint")
docker_client = docker.from_env()
satellite_container = docker_client.containers.get(os.getenv("SAT_CONTAINER_NAME"))
satellite_container.exec_run("wireshark", detach=True)
def launch_web_browser(self):
logger.debug("Launching Web Browser on User Workstation")
docker_client = docker.from_env()
workstation_container = docker_client.containers.get(os.getenv("WS_ST_CONTAINER_NAME"))
workstation_container.exec_run("qupzilla", detach=True)
def set_downlink_attenuation(self, attenuation_value=0):
logger.debug("Setting OpenSAND Downlink Attenuation to " + str(attenuation_value))
gw_path = 'satellite/attenuation_scenario/gw0/plugins/ideal.conf'
st_path = 'satellite/attenuation_scenario/st1/plugins/ideal.conf'
gw_conf = ET.parse(gw_path)
st_conf = ET.parse(st_path)
xml_confs = [gw_conf.getroot(), st_conf.getroot()]
for conf in xml_confs:
attenuation_settings = conf.findall('ideal/ideal_attenuations/ideal_attenuation')
for setting in attenuation_settings:
if setting.attrib["link"] == "down":
setting.set("attenuation_value", str(attenuation_value))
gw_conf.write(gw_path)
st_conf.write(st_path)
logger.debug("Updated Downlink Attenuations")
def set_plr_percentage(self, plr_percentage, st_out=False, gw_out=True):
logger.debug("Configuring Packet Loss Rate")
docker_client = docker.from_env()
containers_to_mod = []
if st_out:
logger.debug("Setting PLR for ST->GW at " + str(plr_percentage))
containers_to_mod.append(docker_client.containers.get(os.getenv("ST_CONTAINER_NAME")))
if gw_out:
logger.debug("Setting PLR for GW->ST at " + str(plr_percentage))
containers_to_mod.append(docker_client.containers.get(os.getenv("GW_CONTAINER_NAME")))
for container in containers_to_mod:
response = container.exec_run('/sbin/tc qdisc change dev opensand_tun root netem loss ' + str(plr_percentage) + "%", stderr=True, stdout=True)
if "RTNETLINK" in str(response.output):
container.exec_run('/sbin/tc qdisc add dev opensand_tun root netem loss ' + str(plr_percentage) + "%", stderr=True, stdout=True)
logger.debug("Updated PLR to " + str(plr_percentage) + "%")
def run_attenuation_scenario(self):
logger.debug("Running Attenuation Scenario")
# wait to connect to opensand
opensand_launched = False
nc = None
while not opensand_launched:
try:
nc = nclib.Netcat(('localhost', int(os.getenv('SAT_PORT_NUMBER'))), verbose=False)
nc.recv_until(b'help')
nc.recv()
opensand_launched = True
except:
continue
logger.debug("Connected to NC Listener")
# stop running scenarios if any
nc.send(b'stop\n')
nc.recv_until(b'OK', timeout=10)
nc.recv()
# opensand reports that the testbed has stopped a little before it actually has
time.sleep(1)
# load attenuation scenario
nc.send(b'scenario attenuation_scenario\n')
nc.recv_until(b'OK', timeout=10)
nc.recv()
# start new scenario
nc.send(b'start\n')
nc.recv_until(b'OK', timeout=10)
logger.debug("Scenario Restarted")
nc.recv()
# ensure that the terminal modem is still connected
docker_client = docker.from_env()
terminal_container = docker_client.containers.get(os.getenv("ST_CONTAINER_NAME"))
#terminal_container.exec_run("/sbin/ip route delete default")
terminal_container.exec_run("/sbin/ip route add default via " + str(os.getenv("GW_NETWORK_HEAD"))+".0.3")
logger.debug("Attenuation Scenario Launched")
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| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
67a8fcaa9f6b044ef3d7890f9076a45a6c45e88c
| 356
|
py
|
Python
|
flask_perms/filters.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | null | null | null |
flask_perms/filters.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | null | null | null |
flask_perms/filters.py
|
jrice128/permission_manager
|
02d415a5f6bc0b4fb2cf40fa6431c813fabe38ba
|
[
"MIT"
] | 1
|
2020-04-28T09:18:14.000Z
|
2020-04-28T09:18:14.000Z
|
def perm_check(checkSet, mainSet):
checkSet = set(checkSet)
mainSet = set(mainSet)
if checkSet.issubset(mainSet):
return True
else:
return False
def is_subset(checkSet, mainSet):
checkSet = set(checkSet)
mainSet = set(mainSet)
if checkSet.issubset(mainSet):
return True
else:
return False
| 19.777778
| 34
| 0.63764
| 40
| 356
| 5.625
| 0.35
| 0.266667
| 0.204444
| 0.231111
| 0.897778
| 0.897778
| 0.897778
| 0.897778
| 0.897778
| 0.897778
| 0
| 0
| 0.27809
| 356
| 17
| 35
| 20.941176
| 0.875486
| 0
| 0
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
67ad70f9e14e61627424701131cdffb1d7fdcb29
| 13,732
|
py
|
Python
|
ismrm2022_submission/deprecated_figure_script/figure_odf2d_sketch.py
|
mpaquette/tractoGRAPHy
|
9f1f702da1b6d89a6f552e4474fbf92d0ffcf60d
|
[
"MIT"
] | null | null | null |
ismrm2022_submission/deprecated_figure_script/figure_odf2d_sketch.py
|
mpaquette/tractoGRAPHy
|
9f1f702da1b6d89a6f552e4474fbf92d0ffcf60d
|
[
"MIT"
] | 11
|
2021-11-14T16:44:36.000Z
|
2021-12-28T21:43:26.000Z
|
ismrm2022_submission/deprecated_figure_script/figure_odf2d_sketch.py
|
mpaquette/tractoGRAPHy
|
9f1f702da1b6d89a6f552e4474fbf92d0ffcf60d
|
[
"MIT"
] | null | null | null |
import numpy as np
# dist on sphere
def sphPDF(k, mu, direc):
# Generate the PDF for a Von-Mises Fisher distribution p=3
# at locations direc for concentration k and mean orientation mu
C3 = k / (2*np.pi*(np.exp(k)-np.exp(-k)))
tmp = np.exp(k*np.dot(direc,mu[:,None])).squeeze()
return C3*tmp
# antipodally symetric
# If building a multi-peak ODF,
# you might want un-normed indivual peak
# this will allow to mak-norm them before averaging
# to control reltaive size of the maximas
def sphPDF_sym(k, mu, direc, norm=False):
d1 = sphPDF(k, mu, direc)
d2 = sphPDF(k, mu, -direc)
dd1 = (d1+d2)/2.
if norm:
dd1 = dd1/dd1.sum()
return dd1
# pts_angle = np.linspace(0, 2*np.pi, 180, endpoint=False)
pts_angle = np.linspace(0, 2*np.pi, 361)
pts_3d = np.zeros((pts_angle.shape[0],3))
pts_3d[:,0] = np.cos(pts_angle)
pts_3d[:,1] = np.sin(pts_angle)
mu1 = np.array([1.4, 0.1, 0])
mu2 = np.array([0.1, 0.8, 0])
mu1 = mu1 / np.linalg.norm(mu1)
mu2 = mu2 / np.linalg.norm(mu2)
k1 = 8
k2 = 10
sf1 = sphPDF_sym(k1, mu1, pts_3d, norm=True)
sf2 = sphPDF_sym(k2, mu2, pts_3d, norm=True)
sf = (sf1+sf2)/2
import pylab as pl
pl.figure()
pl.polar(pts_angle, sf, color='black', linewidth=4)
pl.gca().set_yticklabels([])
pl.gca().axis('off')
pl.axvline(np.pi/4, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+2*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+3*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
# pl.show()
p_0 = sf[np.logical_and(pts_angle>=np.pi/4, pts_angle<np.pi/4+np.pi/2)].sum()
p_3 = sf[np.logical_and(pts_angle>=np.pi/4+np.pi/2, pts_angle<np.pi/4+2*+np.pi/2)].sum()
p_2 = sf[np.logical_and(pts_angle>=np.pi/4+2*+np.pi/2, pts_angle<np.pi/4+3*+np.pi/2)].sum()
p_1 = sf[pts_angle<np.pi/4].sum() + sf[pts_angle>=np.pi/4+3*+np.pi/2].sum() - sf[-1]
p_tot = p_0 + p_1 + p_2 + p_3
# print('Cone orientation = {:.1f} deg'.format(cone_orientation*180/(np.pi)))
# print(' {:.1f}'.format(100*p_0/p_tot))
# print('{:.1f} {:.1f}'.format(100*p_3/p_tot, 100*p_1/p_tot))
# print(' {:.1f}'.format(100*p_2/p_tot))
pl.text(0.5, 1.0, "{:.1f}%".format(100*p_0/p_tot),
horizontalalignment='center',
verticalalignment='bottom',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(1.0, 0.5, "{:.1f}%".format(100*p_1/p_tot),
horizontalalignment='left',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.5, 0.0, "{:.1f}%".format(100*p_2/p_tot),
horizontalalignment='center',
verticalalignment='top',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.0, 0.5, "{:.1f}%".format(100*p_3/p_tot),
horizontalalignment='right',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
# pl.show()
pl.savefig('/home/paquette/Documents/'+'odf_2D.png',
dpi=300,
pad_inches=0.25,
transparent=True,
bbox_inches='tight')
pl.close()
cone_half_angle = (70*np.pi/180)
pl.figure()
cone_orientation = np.pi/2
# mask = np.abs((pts_angle - cone_orientation)) < cone_half_angle
mask = np.minimum(np.abs(pts_angle - cone_orientation), 2*np.pi-np.abs(pts_angle - cone_orientation)) < cone_half_angle
# pl.polar(pts_angle[mask], sf[mask], color='black', linewidth=4)
sf_mask = sf.copy()
sf_mask[~mask] = 0
pl.polar(pts_angle, sf_mask, color='black', linewidth=4)
pl.gca().set_yticklabels([])
pl.gca().axis('off')
pl.axvline(np.pi/4, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+2*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+3*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(cone_orientation+cone_half_angle, linewidth=2, alpha=0.9, color='red')
pl.axvline(cone_orientation-cone_half_angle, linewidth=2, alpha=0.9, color='red')
p_0 = sf_mask[np.logical_and(pts_angle>=np.pi/4, pts_angle<np.pi/4+np.pi/2)].sum()
p_3 = sf_mask[np.logical_and(pts_angle>=np.pi/4+np.pi/2, pts_angle<np.pi/4+2*+np.pi/2)].sum()
p_2 = sf_mask[np.logical_and(pts_angle>=np.pi/4+2*+np.pi/2, pts_angle<np.pi/4+3*+np.pi/2)].sum()
p_1 = sf_mask[pts_angle<np.pi/4].sum() + sf_mask[pts_angle>=np.pi/4+3*+np.pi/2].sum() - sf_mask[-1]
p_tot = p_0 + p_1 + p_2 + p_3
# print('Cone orientation = {:.1f} deg'.format(cone_orientation*180/(np.pi)))
# print(' {:.1f}'.format(100*p_0/p_tot))
# print('{:.1f} {:.1f}'.format(100*p_3/p_tot, 100*p_1/p_tot))
# print(' {:.1f}'.format(100*p_2/p_tot))
pl.text(0.5, 1.0, "{:.1f}%".format(100*p_0/p_tot),
horizontalalignment='center',
verticalalignment='bottom',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(1.0, 0.5, "{:.1f}%".format(100*p_1/p_tot),
horizontalalignment='left',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.5, 0.0, "{:.1f}%".format(100*p_2/p_tot),
horizontalalignment='center',
verticalalignment='top',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.0, 0.5, "{:.1f}%".format(100*p_3/p_tot),
horizontalalignment='right',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
# pl.show()
pl.savefig('/home/paquette/Documents/'+'odf_2D_cone0.png',
dpi=300,
pad_inches=0.25,
transparent=True,
bbox_inches='tight')
pl.close()
pl.figure()
cone_orientation = np.pi
# mask = np.abs((pts_angle - cone_orientation)) < cone_half_angle
mask = np.minimum(np.abs(pts_angle - cone_orientation), 2*np.pi-np.abs(pts_angle - cone_orientation)) < cone_half_angle
# pl.polar(pts_angle[mask], sf[mask], color='black', linewidth=4)
sf_mask = sf.copy()
sf_mask[~mask] = 0
pl.polar(pts_angle, sf_mask, color='black', linewidth=4)
pl.gca().set_yticklabels([])
pl.gca().axis('off')
pl.axvline(np.pi/4, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+2*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+3*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(cone_orientation+cone_half_angle, linewidth=2, alpha=0.9, color='red')
pl.axvline(cone_orientation-cone_half_angle, linewidth=2, alpha=0.9, color='red')
p_0 = sf_mask[np.logical_and(pts_angle>=np.pi/4, pts_angle<np.pi/4+np.pi/2)].sum()
p_3 = sf_mask[np.logical_and(pts_angle>=np.pi/4+np.pi/2, pts_angle<np.pi/4+2*+np.pi/2)].sum()
p_2 = sf_mask[np.logical_and(pts_angle>=np.pi/4+2*+np.pi/2, pts_angle<np.pi/4+3*+np.pi/2)].sum()
p_1 = sf_mask[pts_angle<np.pi/4].sum() + sf_mask[pts_angle>=np.pi/4+3*+np.pi/2].sum() - sf_mask[-1]
p_tot = p_0 + p_1 + p_2 + p_3
# print('Cone orientation = {:.1f} deg'.format(cone_orientation*180/(np.pi)))
# print(' {:.1f}'.format(100*p_0/p_tot))
# print('{:.1f} {:.1f}'.format(100*p_3/p_tot, 100*p_1/p_tot))
# print(' {:.1f}'.format(100*p_2/p_tot))
pl.text(0.5, 1.0, "{:.1f}%".format(100*p_0/p_tot),
horizontalalignment='center',
verticalalignment='bottom',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(1.0, 0.5, "{:.1f}%".format(100*p_1/p_tot),
horizontalalignment='left',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.5, 0.0, "{:.1f}%".format(100*p_2/p_tot),
horizontalalignment='center',
verticalalignment='top',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.0, 0.5, "{:.1f}%".format(100*p_3/p_tot),
horizontalalignment='right',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
# pl.show()
pl.savefig('/home/paquette/Documents/'+'odf_2D_cone3.png',
dpi=300,
pad_inches=0.25,
transparent=True,
bbox_inches='tight')
pl.close()
pl.figure()
cone_orientation = 3*np.pi/2
# mask = np.abs((pts_angle - cone_orientation)) < cone_half_angle
mask = np.minimum(np.abs(pts_angle - cone_orientation), 2*np.pi-np.abs(pts_angle - cone_orientation)) < cone_half_angle
# pl.polar(pts_angle[mask], sf[mask], color='black', linewidth=4)
sf_mask = sf.copy()
sf_mask[~mask] = 0
pl.polar(pts_angle, sf_mask, color='black', linewidth=4)
pl.gca().set_yticklabels([])
pl.gca().axis('off')
pl.axvline(np.pi/4, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+2*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+3*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(cone_orientation+cone_half_angle, linewidth=2, alpha=0.9, color='red')
pl.axvline(cone_orientation-cone_half_angle, linewidth=2, alpha=0.9, color='red')
p_0 = sf_mask[np.logical_and(pts_angle>=np.pi/4, pts_angle<np.pi/4+np.pi/2)].sum()
p_3 = sf_mask[np.logical_and(pts_angle>=np.pi/4+np.pi/2, pts_angle<np.pi/4+2*+np.pi/2)].sum()
p_2 = sf_mask[np.logical_and(pts_angle>=np.pi/4+2*+np.pi/2, pts_angle<np.pi/4+3*+np.pi/2)].sum()
p_1 = sf_mask[pts_angle<np.pi/4].sum() + sf_mask[pts_angle>=np.pi/4+3*+np.pi/2].sum() - sf_mask[-1]
p_tot = p_0 + p_1 + p_2 + p_3
# print('Cone orientation = {:.1f} deg'.format(cone_orientation*180/(np.pi)))
# print(' {:.1f}'.format(100*p_0/p_tot))
# print('{:.1f} {:.1f}'.format(100*p_3/p_tot, 100*p_1/p_tot))
# print(' {:.1f}'.format(100*p_2/p_tot))
pl.text(0.5, 1.0, "{:.1f}%".format(100*p_0/p_tot),
horizontalalignment='center',
verticalalignment='bottom',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(1.0, 0.5, "{:.1f}%".format(100*p_1/p_tot),
horizontalalignment='left',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.5, 0.0, "{:.1f}%".format(100*p_2/p_tot),
horizontalalignment='center',
verticalalignment='top',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.0, 0.5, "{:.1f}%".format(100*p_3/p_tot),
horizontalalignment='right',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
# pl.show()
pl.savefig('/home/paquette/Documents/'+'odf_2D_cone2.png',
dpi=300,
pad_inches=0.25,
transparent=True,
bbox_inches='tight')
pl.close()
pl.figure()
cone_orientation = 0
# mask = np.abs((pts_angle - cone_orientation)) < cone_half_angle
mask = np.minimum(np.abs(pts_angle - cone_orientation), 2*np.pi-np.abs(pts_angle - cone_orientation)) < cone_half_angle
# pl.polar(pts_angle[mask], sf[mask], color='black', linewidth=4)
sf_mask = sf.copy()
sf_mask[~mask] = 0
pl.polar(pts_angle, sf_mask, color='black', linewidth=4)
pl.gca().set_yticklabels([])
pl.gca().axis('off')
pl.axvline(np.pi/4, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+2*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(np.pi/4+3*+np.pi/2, linewidth=2, alpha=0.5, linestyle='dashed')
pl.axvline(cone_orientation+cone_half_angle, linewidth=2, alpha=0.9, color='red')
pl.axvline(cone_orientation-cone_half_angle, linewidth=2, alpha=0.9, color='red')
p_0 = sf_mask[np.logical_and(pts_angle>=np.pi/4, pts_angle<np.pi/4+np.pi/2)].sum()
p_3 = sf_mask[np.logical_and(pts_angle>=np.pi/4+np.pi/2, pts_angle<np.pi/4+2*+np.pi/2)].sum()
p_2 = sf_mask[np.logical_and(pts_angle>=np.pi/4+2*+np.pi/2, pts_angle<np.pi/4+3*+np.pi/2)].sum()
p_1 = sf_mask[pts_angle<np.pi/4].sum() + sf_mask[pts_angle>=np.pi/4+3*+np.pi/2].sum() - sf_mask[-1]
p_tot = p_0 + p_1 + p_2 + p_3
# print('Cone orientation = {:.1f} deg'.format(cone_orientation*180/(np.pi)))
# print(' {:.1f}'.format(100*p_0/p_tot))
# print('{:.1f} {:.1f}'.format(100*p_3/p_tot, 100*p_1/p_tot))
# print(' {:.1f}'.format(100*p_2/p_tot))
pl.text(0.5, 1.0, "{:.1f}%".format(100*p_0/p_tot),
horizontalalignment='center',
verticalalignment='bottom',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(1.0, 0.5, "{:.1f}%".format(100*p_1/p_tot),
horizontalalignment='left',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.5, 0.0, "{:.1f}%".format(100*p_2/p_tot),
horizontalalignment='center',
verticalalignment='top',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
pl.text(0.0, 0.5, "{:.1f}%".format(100*p_3/p_tot),
horizontalalignment='right',
verticalalignment='center',
size='xx-large',
bbox=dict(facecolor='white', alpha=0.0),
transform=pl.gca().transAxes)
# pl.show()
# pl.show()
pl.savefig('/home/paquette/Documents/'+'odf_2D_cone1.png',
dpi=300,
pad_inches=0.25,
transparent=True,
bbox_inches='tight')
pl.close()
| 30.114035
| 119
| 0.654675
| 2,427
| 13,732
| 3.565307
| 0.067985
| 0.055934
| 0.03467
| 0.055472
| 0.912747
| 0.910782
| 0.907662
| 0.905582
| 0.900035
| 0.895296
| 0
| 0.061397
| 0.129406
| 13,732
| 455
| 120
| 30.18022
| 0.662401
| 0.152126
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| 0.845865
| 1
| 0
| 0.087834
| 0.010785
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| 0.007519
| false
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| 0
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| 1
| 1
| 1
| 1
| 1
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| 1
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| null | 0
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| 0
|
0
| 8
|
67b61aee60924c42cff2d8541b81cd5dd53725b7
| 13,671
|
py
|
Python
|
gitea_api/api/settings_api.py
|
r7l/python-gitea-api
|
31d3dba27ea7e551e2048a1230c4ab4d73365006
|
[
"MIT"
] | 1
|
2022-02-09T23:43:26.000Z
|
2022-02-09T23:43:26.000Z
|
gitea_api/api/settings_api.py
|
r7l/python-gitea-api
|
31d3dba27ea7e551e2048a1230c4ab4d73365006
|
[
"MIT"
] | null | null | null |
gitea_api/api/settings_api.py
|
r7l/python-gitea-api
|
31d3dba27ea7e551e2048a1230c4ab4d73365006
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Gitea API.
This documentation describes the Gitea API. # noqa: E501
OpenAPI spec version: 1.16.7
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from gitea_api.api_client import ApiClient
class SettingsApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def get_general_api_settings(self, **kwargs): # noqa: E501
"""Get instance's global settings for api # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_api_settings(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralAPISettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_general_api_settings_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_general_api_settings_with_http_info(**kwargs) # noqa: E501
return data
def get_general_api_settings_with_http_info(self, **kwargs): # noqa: E501
"""Get instance's global settings for api # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_api_settings_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralAPISettings
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_general_api_settings" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['AccessToken', 'AuthorizationHeaderToken', 'BasicAuth', 'SudoHeader', 'SudoParam', 'TOTPHeader', 'Token'] # noqa: E501
return self.api_client.call_api(
'/settings/api', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GeneralAPISettings', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_general_attachment_settings(self, **kwargs): # noqa: E501
"""Get instance's global settings for Attachment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_attachment_settings(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralAttachmentSettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_general_attachment_settings_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_general_attachment_settings_with_http_info(**kwargs) # noqa: E501
return data
def get_general_attachment_settings_with_http_info(self, **kwargs): # noqa: E501
"""Get instance's global settings for Attachment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_attachment_settings_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralAttachmentSettings
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_general_attachment_settings" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['AccessToken', 'AuthorizationHeaderToken', 'BasicAuth', 'SudoHeader', 'SudoParam', 'TOTPHeader', 'Token'] # noqa: E501
return self.api_client.call_api(
'/settings/attachment', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GeneralAttachmentSettings', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_general_repository_settings(self, **kwargs): # noqa: E501
"""Get instance's global settings for repositories # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_repository_settings(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralRepoSettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_general_repository_settings_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_general_repository_settings_with_http_info(**kwargs) # noqa: E501
return data
def get_general_repository_settings_with_http_info(self, **kwargs): # noqa: E501
"""Get instance's global settings for repositories # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_repository_settings_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralRepoSettings
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_general_repository_settings" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['AccessToken', 'AuthorizationHeaderToken', 'BasicAuth', 'SudoHeader', 'SudoParam', 'TOTPHeader', 'Token'] # noqa: E501
return self.api_client.call_api(
'/settings/repository', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GeneralRepoSettings', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_general_ui_settings(self, **kwargs): # noqa: E501
"""Get instance's global settings for ui # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_ui_settings(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralUISettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_general_ui_settings_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_general_ui_settings_with_http_info(**kwargs) # noqa: E501
return data
def get_general_ui_settings_with_http_info(self, **kwargs): # noqa: E501
"""Get instance's global settings for ui # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_general_ui_settings_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: GeneralUISettings
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_general_ui_settings" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['AccessToken', 'AuthorizationHeaderToken', 'BasicAuth', 'SudoHeader', 'SudoParam', 'TOTPHeader', 'Token'] # noqa: E501
return self.api_client.call_api(
'/settings/ui', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GeneralUISettings', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 36.553476
| 144
| 0.615683
| 1,510
| 13,671
| 5.28543
| 0.099338
| 0.041098
| 0.028067
| 0.036086
| 0.931462
| 0.926701
| 0.926701
| 0.914046
| 0.914046
| 0.914046
| 0
| 0.013815
| 0.295809
| 13,671
| 373
| 145
| 36.651475
| 0.815207
| 0.309268
| 0
| 0.791878
| 1
| 0
| 0.176498
| 0.05658
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045685
| false
| 0
| 0.020305
| 0
| 0.13198
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
db2eed0f7b05a70cc0fba2b80cde8beb4f0f5ca1
| 205
|
py
|
Python
|
allennlp_models/pair_classification/__init__.py
|
matt-peters/allennlp-models
|
cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e
|
[
"Apache-2.0"
] | 402
|
2020-03-11T22:58:35.000Z
|
2022-03-29T09:05:27.000Z
|
allennlp_models/pair_classification/__init__.py
|
matt-peters/allennlp-models
|
cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e
|
[
"Apache-2.0"
] | 116
|
2020-03-11T01:26:57.000Z
|
2022-03-25T13:03:56.000Z
|
allennlp_models/pair_classification/__init__.py
|
matt-peters/allennlp-models
|
cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e
|
[
"Apache-2.0"
] | 140
|
2020-03-11T00:51:35.000Z
|
2022-03-29T09:05:36.000Z
|
# flake8: noqa: F403
from allennlp_models.pair_classification.dataset_readers import *
from allennlp_models.pair_classification.models import *
from allennlp_models.pair_classification.predictors import *
| 41
| 65
| 0.863415
| 25
| 205
| 6.8
| 0.48
| 0.211765
| 0.317647
| 0.388235
| 0.705882
| 0.494118
| 0
| 0
| 0
| 0
| 0
| 0.021164
| 0.078049
| 205
| 4
| 66
| 51.25
| 0.878307
| 0.087805
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
e1d510cc8cda85403555b119f942a80595fb06a5
| 59,500
|
py
|
Python
|
db/PGManager.py
|
cleolepart/timedomain
|
340e3fa614bca2dc333c9723893951318356dccf
|
[
"MIT"
] | null | null | null |
db/PGManager.py
|
cleolepart/timedomain
|
340e3fa614bca2dc333c9723893951318356dccf
|
[
"MIT"
] | null | null | null |
db/PGManager.py
|
cleolepart/timedomain
|
340e3fa614bca2dc333c9723893951318356dccf
|
[
"MIT"
] | null | null | null |
import os
import sys
import glob
from astropy.io import ascii
import pandas
import psycopg2
import re
from astropy.table import Table
import sqlite3
from sqlalchemy import create_engine
from sqlalchemy import text
import sqlalchemy
import fitsio
import numpy
"""
Tables to read:
Secondary targets:
Table name: secondary
Table sources:
SV3
/global/cfs/cdirs/desi/target/secondary/sv3/outdata/0.57.0/
MAIN
/global/cfs/cdirs/desi/target/secondary/main/outdata/1.0.0/
redshifts-prod:
Table name: redshifts_prod
Table sources:
/global/project/projectdirs/desi/spectro/redux/*/zcatalog-*-cumulative.fits
/global/project/projectdirs/desi/spectro/redux/*/zcatalog-*-pernight.fits
zbest_prod:
Table name: zbest_<prod>
(hdu=1 is zbest, don't save hdu=2 for fibermap)
Table sources:
/global/project/projectdirs/desi/spectro/redux/{prod}/tiles/cumulative/*/zbest*.fits
/global/project/projectdirs/desi/spectro/redux/{prod}/tiles/pernight/*/zbest*.fits
zbest_daily:
Table name: zbest_daily
(hdu=1 is zbest, don't save hdu=2 for fibermap)
Table sources:
/global/project/projectdirs/desi/spectro/redux/daily/tiles/cumulative
spectra_prod:
Table name: spectra_<prod>
Table sources:
/global/project/projectdirs/desi/spectro/redux/{prod}/tiles/cumulative/*/spectra*.fits
fibermap_daily:
read from cumulative only those taken that night
"""
try:
with open('/global/homes/a/akim/secrets/desi_pg.txt', 'r') as f:
data = f.read()
uname, passwd = data.split()
engine = create_engine(f'postgresql://{uname}:{passwd}@decatdb.lbl.gov/desi')
# conn = sqlite3.connect("/global/cfs/cdirs/desi/science/td/db/desi.db")
except:
print("No connection")
def dtypesToSchema(dtypes):
for index,value in dtypes.items():
if value == numpy.float64:
nvalue = 'DOUBLE PRECISION'
elif value == numpy.float32:
nvalue = 'REAL'
elif value == numpy.int64:
nvalue = 'BIGINT'
elif value == numpy.int32:
nvalue = 'INTEGER'
elif value == numpy.int16 or value == numpy.uint8 :
nvalue = 'SMALLINT'
elif value == numpy.object:
nvalue = 'TEXT'
elif value == numpy.bool:
nvalue = 'BOOLEAN'
else:
print ("**unknown** ",value)
# print(f'{index} {nvalue}, {value}')
print(f'{index.lower()} {nvalue},')
class zbest_daily:
schema="""
CREATE TABLE IF NOT EXISTS "zbest_daily" (
targetid BIGINT,
chi2 DOUBLE PRECISION,
z DOUBLE PRECISION,
zerr DOUBLE PRECISION,
zwarn BIGINT,
npixels BIGINT,
spectype TEXT,
subtype TEXT,
ncoeff BIGINT,
deltachi2 DOUBLE PRECISION,
numexp INTEGER,
numtile INTEGER,
coeff_0 DOUBLE PRECISION,
coeff_1 DOUBLE PRECISION,
coeff_2 DOUBLE PRECISION,
coeff_3 DOUBLE PRECISION,
coeff_4 DOUBLE PRECISION,
coeff_5 DOUBLE PRECISION,
coeff_6 DOUBLE PRECISION,
coeff_7 DOUBLE PRECISION,
coeff_8 DOUBLE PRECISION,
coeff_9 DOUBLE PRECISION,
tile BIGINT,
petal BIGINT,
yyyymmdd BIGINT,
PRIMARY KEY (targetid, tile, yyyymmdd)
);
"""
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS zbest_daily;"))
conn.execute(zbest_daily.schema)
conn.close()
@staticmethod
def fill_table():
dir_root = "/global/project/projectdirs/desi/spectro/redux/daily/tiles/cumulative"
#find the last date
dates_db=[]
try:
with engine.connect() as conn:
for row in conn.execute(f"SELECT DISTINCT YYYYMMDD FROM zbest_daily"):
dates_db.append(row[0])
except:
pass
dates = []
for path in glob.glob(f'{dir_root}/*/202?????'):
split = path.split('/')
dates.append(split[-1])
dates = numpy.unique(dates)
for date in dates:
if int(date) not in dates_db:
# Do things in terms of dates
dfs=[]
print(date)
for path in glob.glob(f'{dir_root}/*/{date}'):
split = path.split('/')
tile = split[-2]
if tile.isnumeric():
for i in range(10):
filename = f'{dir_root}/{tile}/{date}/zbest-{i}-{tile}-thru{date}.fits'
try:
dat = Table.read(filename, format='fits',hdu=1)
except:
print(f"{filename} not found")
continue
for icoeff in range(0,10):
dat[f'COEFF_{icoeff}']= dat['COEFF'][0:len(dat),icoeff]
dat.remove_column('COEFF')
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df['TILE']=numpy.full(df.shape[0],int(tile))
df['PETAL']=numpy.full(df.shape[0],i)
df['YYYYMMDD']=numpy.full(df.shape[0],int(date))
df.columns= df.columns.str.lower()
dfs.append(df)
if len(dfs)>0:
try:
dfs = pandas.concat(dfs, ignore_index=True, sort=False)
dfs.to_sql(f'zbest_daily',engine,index=False,if_exists='append')
except sqlite3.OperationalError as err:
dtypesToSchema(dfs.dtypes)
sys.exit()
class dr9_pv:
schema="""
CREATE TABLE IF NOT EXISTS "pv.dr9" (
objid BIGINT,
brickid INTEGER,
brickname TEXT,
ra DOUBLE PRECISION,
dec DOUBLE PRECISION,
type TEXT,
sersic REAL,
z_phot_median REAL,
z_phot_l95 REAL,
mag_g REAL,
mag_r REAL,
mag_z REAL,
mag_b REAL,
mag_g_err REAL,
mag_r_err REAL,
mag_z_err REAL,
fibre_mag_g REAL,
fibre_mag_r REAL,
fibre_mag_z REAL,
uncor_radius REAL,
ba_ratio REAL,
circ_radius REAL,
pos_angle REAL,
insga BOOLEAN,
inbgs BOOLEAN,
inlocalbright BOOLEAN,
inspecfootprint BOOLEAN,
sga_pa REAL,
sga_ba REAL,
sb_d25_g REAL,
sb_d25_r REAL,
sb_d25_z REAL,
radius_sb25 REAL,
sga_morphtype TEXT,
sga_id BIGINT,
sga_redshift REAL,
size_sga REAL,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
override BOOLEAN,
pvtype TEXT,
pvpriority INTEGER,
target TEXT,
survey TEXT,
pointingid INTEGER
);
"""
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS pv.dr9;"))
conn.execute(dr9_pv.schema)
conn.close()
@staticmethod
def fill_table():
dirs=["savepath_dr9","savepath_dr9_corr"]
surveys=["sv3","main"]
targets = ["ext","fp","sga","tf"]
for di, survey in zip(dirs,surveys):
for target in targets:
filename = f"/global/homes/k/ksaid/desi_pv/{di}/pv_{target}_full.fits"
try:
dat = Table.read(filename, format='fits')
except:
print(f"{filename} not found")
continue
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df['target']=numpy.full(df.shape[0],target)
df['survey']=numpy.full(df.shape[0],survey)
df.columns= df.columns.str.lower()
try:
df.to_sql('pv.dr9',engine,index=False,if_exists='append')
except:
dtypesToSchema(df.dtypes)
sys.exit()
@staticmethod
def null_sga():
with engine.connect() as conn:
# conn.execute("create table temp as (select * from dr9_pv);")
query = """
UPDATE dr9_pv
SET sga_id = NULL,
sga_morphtype = NULL,
sga_redshift = NULL,
sga_pa = NULL,
sga_ba = NULL
WHERE sga_id = 0
OR sga_id = -1;
"""
conn.execute(query)
class secondary:
schema=f"""
CREATE TABLE IF NOT EXISTS secondary (
ra DOUBLE PRECISION,
dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
override BOOLEAN,
flux_g REAL,
flux_r REAL,
flux_z REAL,
parallax REAL,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
gaia_astrometric_excess_noise REAL,
targetid BIGINT,
sv3_desi_target BIGINT,
sv3_scnd_target BIGINT,
scnd_order INTEGER,
desitarget_v TEXT,
run TEXT,
program TEXT,
lunation TEXT,
desi_target BIGINT,
scnd_target BIGINT
);
"""
runs=['main','sv3']
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS secondary;"))
conn.execute(secondary.schema)
conn.close()
@staticmethod
def fill_table():
# SV3
if 'sv3' in secondary.runs:
dir_root = "/global/cfs/cdirs/desi/target/secondary/sv3/outdata/0.57.0/"
lunations = ["bright", "dark"]
for lunation in lunations:
for root, dirs, files in os.walk(os.path.join(dir_root,lunation)):
for file in files:
if file.endswith('.fits'):
filename = os.path.join(root,file)
print(file)
program = file[:-5]
dat = Table.read(filename, format='fits')
df = dat.to_pandas()
df['desitarget_v']= numpy.full(df.shape[0],'0.57.0')
df['run']=numpy.full(df.shape[0],'sv3')
df['program']=numpy.full(df.shape[0],program)
df['lunation']=numpy.full(df.shape[0],lunation)
df.columns= df.columns.str.lower()
try:
df.to_sql('secondary',engine,index=False,if_exists='append')
except:
dtypesToSchema(df.dtypes)
sys.exit()
# main
# SCHEMA EVOLUTION
# New keywords DESI_TARGET SCND_TARGET
fix = '''
ALTER TABLE secondary
ADD COLUMN DESI_TARGET INT;
ALTER TABLE secondary
ADD COLUMN SCND_TARGET INT;
'''
if 'main' in secondary.runs:
dir_root = "/global/cfs/cdirs/desi/target/secondary/main/outdata/1.0.0/"
lunations = ["bright", "dark"]
for lunation in lunations:
for root, dirs, files in os.walk(os.path.join(dir_root,lunation)):
for file in files:
if file.endswith('.fits'):
filename = os.path.join(root,file)
print(file)
program = file[:-5]
dat = Table.read(filename, format='fits')
df = dat.to_pandas()
df['desitarget_v']= numpy.full(df.shape[0],'1.0.0')
df['run']=numpy.full(df.shape[0],'main')
df['program']=numpy.full(df.shape[0],program)
df['lunation']=numpy.full(df.shape[0],lunation)
df.columns= df.columns.str.lower()
try:
df.to_sql('secondary',engine,index=False,if_exists='append')
except:
dtypesToSchema(df.dtypes)
sys.exit()
class zcatalog_denali:
schema="""
CREATE TABLE IF NOT EXISTS "zcatalog_denali" (
targetid BIGINT,
chi2 DOUBLE PRECISION,
z DOUBLE PRECISION,
zerr DOUBLE PRECISION,
zwarn BIGINT,
npixels BIGINT,
spectype TEXT,
subtype TEXT,
ncoeff BIGINT,
deltachi2 DOUBLE PRECISION,
numexp INTEGER,
numtile INTEGER,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
fiberstatus INTEGER,
target_ra DOUBLE PRECISION,
target_dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
lambda_ref REAL,
fa_target BIGINT,
fa_type SMALLINT,
objtype TEXT,
priority INTEGER,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
release SMALLINT,
brickid INTEGER,
brick_objid INTEGER,
morphtype TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
flux_ivar_g REAL,
flux_ivar_r REAL,
flux_ivar_z REAL,
maskbits SMALLINT,
ref_id BIGINT,
ref_cat TEXT,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
parallax REAL,
brickname TEXT,
ebv REAL,
flux_w1 REAL,
flux_w2 REAL,
fiberflux_g REAL,
fiberflux_r REAL,
fiberflux_z REAL,
fibertotflux_g REAL,
fibertotflux_r REAL,
fibertotflux_z REAL,
sersic REAL,
shape_r REAL,
shape_e1 REAL,
shape_e2 REAL,
photsys TEXT,
priority_init BIGINT,
numobs_init BIGINT,
sv2_desi_target BIGINT,
sv2_bgs_target BIGINT,
sv2_mws_target BIGINT,
sv2_scnd_target BIGINT,
desi_target BIGINT,
bgs_target BIGINT,
mws_target BIGINT,
tileid INTEGER,
coadd_numexp SMALLINT,
coadd_exptime REAL,
mean_delta_x REAL,
rms_delta_x REAL,
mean_delta_y REAL,
rms_delta_y REAL,
mean_fiber_x REAL,
mean_fiber_y REAL,
mean_fiber_ra DOUBLE PRECISION,
mean_fiber_dec DOUBLE PRECISION,
mean_fiberassign_x REAL,
mean_fiberassign_y REAL,
first_night INTEGER,
last_night INTEGER,
num_night SMALLINT,
first_expid INTEGER,
last_expid INTEGER,
num_expid SMALLINT,
first_tileid INTEGER,
last_tileid INTEGER,
num_tileid SMALLINT,
first_fiber INTEGER,
last_fiber INTEGER,
num_fiber SMALLINT,
first_mjd REAL,
last_mjd REAL,
num_mjd SMALLINT,
sv1_scnd_target BIGINT,
sv1_bgs_target BIGINT,
sv1_desi_target BIGINT,
sv1_mws_target BIGINT,
cmx_target BIGINT,
coeff_0 DOUBLE PRECISION,
coeff_1 DOUBLE PRECISION,
coeff_2 DOUBLE PRECISION,
coeff_3 DOUBLE PRECISION,
coeff_4 DOUBLE PRECISION,
coeff_5 DOUBLE PRECISION,
coeff_6 DOUBLE PRECISION,
coeff_7 DOUBLE PRECISION,
coeff_8 DOUBLE PRECISION,
coeff_9 DOUBLE PRECISION,
PRIMARY KEY (targetid, tileid)
);
"""
#
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS zcatalog_denali;"))
conn.execute(text(zcatalog_denali.schema))
conn.close()
@staticmethod
def fill_table(prod='denali'):
root = f"/global/project/projectdirs/desi/spectro/redux/{prod}"
coadds = ["cumulative","pernight"]
coadds = ["cumulative"]
for coadd in coadds:
filename = os.path.join(root,f"zcatalog-denali-{coadd}.fits")
print(filename)
dat = Table.read(filename, format='fits')
# There is a multidimensional column that needs to be broken up
for icoeff in range(0,10):
dat[f'COEFF_{icoeff}']= dat['COEFF'][0:len(dat),icoeff]
dat.remove_column('COEFF')
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df.columns= df.columns.str.lower()
try:
df.to_sql('zcatalog_denali',engine,index=False,if_exists='append')
except:
dtypesToSchema(df.dtypes)
print(df[0])
sys.exit()
class zpix_everest:
prod='everest'
schema1="""
CREATE TABLE IF NOT EXISTS everest.zpix_redshifts (
targetid BIGINT,
chi2 DOUBLE PRECISION,
z DOUBLE PRECISION,
zerr DOUBLE PRECISION,
zwarn BIGINT,
npixels BIGINT,
spectype TEXT,
subtype TEXT,
ncoeff BIGINT,
deltachi2 DOUBLE PRECISION,
coadd_fiberstatus INTEGER,
target_ra DOUBLE PRECISION,
target_dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
fa_target BIGINT,
fa_type SMALLINT,
objtype TEXT,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
release INTEGER,
brickid INTEGER,
brick_objid INTEGER,
morphtype TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
flux_ivar_g REAL,
flux_ivar_r REAL,
flux_ivar_z REAL,
maskbits SMALLINT,
ref_id BIGINT,
ref_cat TEXT,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
parallax REAL,
brickname TEXT,
ebv REAL,
flux_w1 REAL,
flux_w2 REAL,
flux_ivar_w1 REAL,
flux_ivar_w2 REAL,
fiberflux_g REAL,
fiberflux_r REAL,
fiberflux_z REAL,
fibertotflux_g REAL,
fibertotflux_r REAL,
fibertotflux_z REAL,
sersic REAL,
shape_r REAL,
shape_e1 REAL,
shape_e2 REAL,
photsys TEXT,
priority_init BIGINT,
numobs_init BIGINT,
desi_target BIGINT,
bgs_target BIGINT,
mws_target BIGINT,
scnd_target DOUBLE PRECISION,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
coadd_numexp SMALLINT,
coadd_exptime REAL,
coadd_numnight SMALLINT,
coadd_numtile SMALLINT,
mean_delta_x REAL,
rms_delta_x REAL,
mean_delta_y REAL,
rms_delta_y REAL,
mean_fiber_ra DOUBLE PRECISION,
std_fiber_ra REAL,
mean_fiber_dec DOUBLE PRECISION,
std_fiber_dec REAL,
mean_psf_to_fiber_specflux REAL,
tsnr2_gpbdark_b REAL,
tsnr2_elg_b REAL,
tsnr2_gpbbright_b REAL,
tsnr2_lya_b REAL,
tsnr2_bgs_b REAL,
tsnr2_gpbbackup_b REAL,
tsnr2_qso_b REAL,
tsnr2_lrg_b REAL,
tsnr2_gpbdark_r REAL,
tsnr2_elg_r REAL,
tsnr2_gpbbright_r REAL,
tsnr2_lya_r REAL,
tsnr2_bgs_r REAL,
tsnr2_gpbbackup_r REAL,
tsnr2_qso_r REAL,
tsnr2_lrg_r REAL,
tsnr2_gpbdark_z REAL,
tsnr2_elg_z REAL,
tsnr2_gpbbright_z REAL,
tsnr2_lya_z REAL,
tsnr2_bgs_z REAL,
tsnr2_gpbbackup_z REAL,
tsnr2_qso_z REAL,
tsnr2_lrg_z REAL,
tsnr2_gpbdark REAL,
tsnr2_elg REAL,
tsnr2_gpbbright REAL,
tsnr2_lya REAL,
tsnr2_bgs REAL,
tsnr2_gpbbackup REAL,
tsnr2_qso REAL,
tsnr2_lrg REAL,
coeff_0 DOUBLE PRECISION,
coeff_1 DOUBLE PRECISION,
coeff_2 DOUBLE PRECISION,
coeff_3 DOUBLE PRECISION,
coeff_4 DOUBLE PRECISION,
coeff_5 DOUBLE PRECISION,
coeff_6 DOUBLE PRECISION,
coeff_7 DOUBLE PRECISION,
coeff_8 DOUBLE PRECISION,
coeff_9 DOUBLE PRECISION,
run TEXT,
program TEXT,
sv1_desi_target DOUBLE PRECISION,
sv1_bgs_target DOUBLE PRECISION,
sv1_mws_target DOUBLE PRECISION,
sv1_scnd_target DOUBLE PRECISION,
numtarget DOUBLE PRECISION,
blobdist REAL,
fiberflux_ivar_g REAL,
fiberflux_ivar_r REAL,
fiberflux_ivar_z REAL,
hpxpixel DOUBLE PRECISION,
sv2_desi_target DOUBLE PRECISION,
sv2_bgs_target DOUBLE PRECISION,
sv2_mws_target DOUBLE PRECISION,
sv2_scnd_target DOUBLE PRECISION,
sv3_desi_target DOUBLE PRECISION,
sv3_bgs_target DOUBLE PRECISION,
sv3_mws_target DOUBLE PRECISION,
sv3_scnd_target DOUBLE PRECISION
);
"""
schema2="""
CREATE TABLE IF NOT EXISTS everest.zpix_fibermap (
targetid BIGINT,
priority INTEGER,
subpriority DOUBLE PRECISION,
night INTEGER,
expid INTEGER,
mjd DOUBLE PRECISION,
tileid INTEGER,
exptime DOUBLE PRECISION,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
fiberstatus INTEGER,
fiberassign_x REAL,
fiberassign_y REAL,
lambda_ref REAL,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
num_iter BIGINT,
fiber_x DOUBLE PRECISION,
fiber_y DOUBLE PRECISION,
delta_x DOUBLE PRECISION,
delta_y DOUBLE PRECISION,
fiber_ra DOUBLE PRECISION,
fiber_dec DOUBLE PRECISION,
psf_to_fiber_specflux DOUBLE PRECISION,
run TEXT,
program TEXT
);
"""
#
@staticmethod
def create_table(prod='everest',overwrite = False, hdu=1,group='zpix',cumulative=''):
if hdu==1:
tablename=f'{prod}.{group}{cumulative}_redshifts'
schema = zpix_everest.schema1
elif hdu==2:
tablename=f'{prod}.{group}{cumulative}_fibermap'
schema = zpix_everest.schema2
print(tablename)
with engine.connect() as conn:
if overwrite:
cmd = f'DROP TABLE IF EXISTS {tablename};'
conn.execute(text(cmd))
conn.execute(text(schema))
conn.close()
@staticmethod
def fill_table(prod='everest',hdu=1,schema=False):
if hdu==1:
tablename='zpix_redshifts'
elif hdu==2:
tablename='zpix_fibermap'
print(tablename)
root = f"/global/project/projectdirs/desi/spectro/redux/{prod}/zcatalog/"
coadds = ["cumulative"]
coadds=[""]
runs=['main','sv1','sv2','sv3']
programs = ['bright','dark','backup','other']
dfs=[]
for coadd in coadds:
for run in runs:
for program in programs:
filename = os.path.join(root,f"zpix-{run}-{program}.fits")
print(filename)
try:
dat = Table.read(filename, format='fits',hdu=hdu)
except:
continue
print(filename)
# There is a multidimensional column that needs to be broken up
if hdu==1:
for icoeff in range(0,10):
dat[f'COEFF_{icoeff}']= dat['COEFF'][0:len(dat),icoeff]
dat.remove_column('COEFF')
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df['run']=numpy.full(df.shape[0],run)
df['program']=numpy.full(df.shape[0],program)
df.columns= df.columns.str.lower()
# dtypesToSchema(df.dtypes)
if schema:
dfs.append(df[0:1])
if not schema:
try:
df.to_sql(tablename,engine,index=False,if_exists='append',schema=prod)
except:
dtypesToSchema(df.dtypes)
print(df[0])
sys.exit()
if schema:
dfs = pandas.concat(dfs, ignore_index=True, sort=False)
dtypesToSchema(dfs.dtypes)
class ztile_everest:
@staticmethod
def tablename(prod='everest',coadd='pernight',hdu=1,short=False):
if hdu==1:
tag='redshifts'
elif hdu==2:
tag='fibermap'
if not short:
return f"{prod}.ztile_{coadd}_{tag}"
else:
return f"ztile_{coadd}_{tag}"
@staticmethod
def create_table(prod='everest',overwrite = False, hdu=1,coadd='pernight'):
tablename = ztile_everest.tablename(prod=prod,coadd=coadd,hdu=hdu)
if hdu==1 and coadd=='pernight':
schema="""
CREATE TABLE IF NOT EXISTS {} (
targetid BIGINT,
chi2 DOUBLE PRECISION,
z DOUBLE PRECISION,
zerr DOUBLE PRECISION,
zwarn BIGINT,
npixels BIGINT,
spectype TEXT,
subtype TEXT,
ncoeff BIGINT,
deltachi2 DOUBLE PRECISION,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
coadd_fiberstatus INTEGER,
target_ra DOUBLE PRECISION,
target_dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
lambda_ref REAL,
fa_target BIGINT,
fa_type SMALLINT,
objtype TEXT,
fiberassign_x REAL,
fiberassign_y REAL,
priority INTEGER,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
release INTEGER,
brickid INTEGER,
brick_objid INTEGER,
morphtype TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
flux_ivar_g REAL,
flux_ivar_r REAL,
flux_ivar_z REAL,
maskbits SMALLINT,
ref_id BIGINT,
ref_cat TEXT,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
parallax REAL,
brickname TEXT,
ebv REAL,
flux_w1 REAL,
flux_w2 REAL,
flux_ivar_w1 REAL,
flux_ivar_w2 REAL,
fiberflux_g REAL,
fiberflux_r REAL,
fiberflux_z REAL,
fibertotflux_g REAL,
fibertotflux_r REAL,
fibertotflux_z REAL,
sersic REAL,
shape_r REAL,
shape_e1 REAL,
shape_e2 REAL,
photsys TEXT,
priority_init BIGINT,
numobs_init BIGINT,
desi_target BIGINT,
bgs_target BIGINT,
mws_target BIGINT,
scnd_target DOUBLE PRECISION,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
tileid INTEGER,
coadd_numexp SMALLINT,
coadd_exptime REAL,
coadd_numnight SMALLINT,
coadd_numtile SMALLINT,
mean_delta_x REAL,
rms_delta_x REAL,
mean_delta_y REAL,
rms_delta_y REAL,
mean_fiber_ra DOUBLE PRECISION,
std_fiber_ra REAL,
mean_fiber_dec DOUBLE PRECISION,
std_fiber_dec REAL,
mean_psf_to_fiber_specflux REAL,
mean_fiber_x REAL,
mean_fiber_y REAL,
tsnr2_gpbdark_b REAL,
tsnr2_elg_b REAL,
tsnr2_gpbbright_b REAL,
tsnr2_lya_b REAL,
tsnr2_bgs_b REAL,
tsnr2_gpbbackup_b REAL,
tsnr2_qso_b REAL,
tsnr2_lrg_b REAL,
tsnr2_gpbdark_r REAL,
tsnr2_elg_r REAL,
tsnr2_gpbbright_r REAL,
tsnr2_lya_r REAL,
tsnr2_bgs_r REAL,
tsnr2_gpbbackup_r REAL,
tsnr2_qso_r REAL,
tsnr2_lrg_r REAL,
tsnr2_gpbdark_z REAL,
tsnr2_elg_z REAL,
tsnr2_gpbbright_z REAL,
tsnr2_lya_z REAL,
tsnr2_bgs_z REAL,
tsnr2_gpbbackup_z REAL,
tsnr2_qso_z REAL,
tsnr2_lrg_z REAL,
tsnr2_gpbdark REAL,
tsnr2_elg REAL,
tsnr2_gpbbright REAL,
tsnr2_lya REAL,
tsnr2_bgs REAL,
tsnr2_gpbbackup REAL,
tsnr2_qso REAL,
tsnr2_lrg REAL,
coeff_0 DOUBLE PRECISION,
coeff_1 DOUBLE PRECISION,
coeff_2 DOUBLE PRECISION,
coeff_3 DOUBLE PRECISION,
coeff_4 DOUBLE PRECISION,
coeff_5 DOUBLE PRECISION,
coeff_6 DOUBLE PRECISION,
coeff_7 DOUBLE PRECISION,
coeff_8 DOUBLE PRECISION,
coeff_9 DOUBLE PRECISION,
run TEXT,
program TEXT,
sv1_desi_target DOUBLE PRECISION,
sv1_bgs_target DOUBLE PRECISION,
sv1_mws_target DOUBLE PRECISION,
sv1_scnd_target DOUBLE PRECISION,
numtarget DOUBLE PRECISION,
blobdist REAL,
fiberflux_ivar_g REAL,
fiberflux_ivar_r REAL,
fiberflux_ivar_z REAL,
hpxpixel DOUBLE PRECISION,
sv2_desi_target DOUBLE PRECISION,
sv2_bgs_target DOUBLE PRECISION,
sv2_mws_target DOUBLE PRECISION,
sv2_scnd_target DOUBLE PRECISION,
sv3_desi_target DOUBLE PRECISION,
sv3_bgs_target DOUBLE PRECISION,
sv3_mws_target DOUBLE PRECISION,
sv3_scnd_target DOUBLE PRECISION
);
""".format(tablename)
elif hdu==2 and coadd=='pernight':
schema="""
CREATE TABLE IF NOT EXISTS {} (
targetid BIGINT,
priority INTEGER,
subpriority DOUBLE PRECISION,
night INTEGER,
expid INTEGER,
mjd DOUBLE PRECISION,
tileid INTEGER,
exptime DOUBLE PRECISION,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
fiberstatus INTEGER,
fiberassign_x REAL,
fiberassign_y REAL,
lambda_ref REAL,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
num_iter BIGINT,
fiber_x DOUBLE PRECISION,
fiber_y DOUBLE PRECISION,
delta_x DOUBLE PRECISION,
delta_y DOUBLE PRECISION,
fiber_ra DOUBLE PRECISION,
fiber_dec DOUBLE PRECISION,
psf_to_fiber_specflux DOUBLE PRECISION,
run TEXT,
program TEXT
);
""".format(tablename)
elif hdu==1 and coadd=='cumulative':
schema="""
CREATE TABLE IF NOT EXISTS {} (
targetid BIGINT,
chi2 DOUBLE PRECISION,
z DOUBLE PRECISION,
zerr DOUBLE PRECISION,
zwarn BIGINT,
npixels BIGINT,
spectype TEXT,
subtype TEXT,
ncoeff BIGINT,
deltachi2 DOUBLE PRECISION,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
coadd_fiberstatus INTEGER,
target_ra DOUBLE PRECISION,
target_dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
lambda_ref REAL,
fa_target BIGINT,
fa_type SMALLINT,
objtype TEXT,
fiberassign_x REAL,
fiberassign_y REAL,
priority INTEGER,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
release INTEGER,
brickid INTEGER,
brick_objid INTEGER,
morphtype TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
flux_ivar_g REAL,
flux_ivar_r REAL,
flux_ivar_z REAL,
maskbits SMALLINT,
ref_id BIGINT,
ref_cat TEXT,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
parallax REAL,
brickname TEXT,
ebv REAL,
flux_w1 REAL,
flux_w2 REAL,
flux_ivar_w1 REAL,
flux_ivar_w2 REAL,
fiberflux_g REAL,
fiberflux_r REAL,
fiberflux_z REAL,
fibertotflux_g REAL,
fibertotflux_r REAL,
fibertotflux_z REAL,
sersic REAL,
shape_r REAL,
shape_e1 REAL,
shape_e2 REAL,
photsys TEXT,
priority_init BIGINT,
numobs_init BIGINT,
desi_target BIGINT,
bgs_target BIGINT,
mws_target BIGINT,
scnd_target DOUBLE PRECISION,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
tileid INTEGER,
coadd_numexp SMALLINT,
coadd_exptime REAL,
coadd_numnight SMALLINT,
coadd_numtile SMALLINT,
mean_delta_x REAL,
rms_delta_x REAL,
mean_delta_y REAL,
rms_delta_y REAL,
mean_fiber_ra DOUBLE PRECISION,
std_fiber_ra REAL,
mean_fiber_dec DOUBLE PRECISION,
std_fiber_dec REAL,
mean_psf_to_fiber_specflux REAL,
mean_fiber_x REAL,
mean_fiber_y REAL,
tsnr2_gpbdark_b REAL,
tsnr2_elg_b REAL,
tsnr2_gpbbright_b REAL,
tsnr2_lya_b REAL,
tsnr2_bgs_b REAL,
tsnr2_gpbbackup_b REAL,
tsnr2_qso_b REAL,
tsnr2_lrg_b REAL,
tsnr2_gpbdark_r REAL,
tsnr2_elg_r REAL,
tsnr2_gpbbright_r REAL,
tsnr2_lya_r REAL,
tsnr2_bgs_r REAL,
tsnr2_gpbbackup_r REAL,
tsnr2_qso_r REAL,
tsnr2_lrg_r REAL,
tsnr2_gpbdark_z REAL,
tsnr2_elg_z REAL,
tsnr2_gpbbright_z REAL,
tsnr2_lya_z REAL,
tsnr2_bgs_z REAL,
tsnr2_gpbbackup_z REAL,
tsnr2_qso_z REAL,
tsnr2_lrg_z REAL,
tsnr2_gpbdark REAL,
tsnr2_elg REAL,
tsnr2_gpbbright REAL,
tsnr2_lya REAL,
tsnr2_bgs REAL,
tsnr2_gpbbackup REAL,
tsnr2_qso REAL,
tsnr2_lrg REAL,
coeff_0 DOUBLE PRECISION,
coeff_1 DOUBLE PRECISION,
coeff_2 DOUBLE PRECISION,
coeff_3 DOUBLE PRECISION,
coeff_4 DOUBLE PRECISION,
coeff_5 DOUBLE PRECISION,
coeff_6 DOUBLE PRECISION,
coeff_7 DOUBLE PRECISION,
coeff_8 DOUBLE PRECISION,
coeff_9 DOUBLE PRECISION,
run TEXT,
program TEXT,
sv1_desi_target DOUBLE PRECISION,
sv1_bgs_target DOUBLE PRECISION,
sv1_mws_target DOUBLE PRECISION,
sv1_scnd_target DOUBLE PRECISION,
numtarget DOUBLE PRECISION,
blobdist REAL,
fiberflux_ivar_g REAL,
fiberflux_ivar_r REAL,
fiberflux_ivar_z REAL,
hpxpixel DOUBLE PRECISION,
sv2_desi_target DOUBLE PRECISION,
sv2_bgs_target DOUBLE PRECISION,
sv2_mws_target DOUBLE PRECISION,
sv2_scnd_target DOUBLE PRECISION,
sv3_desi_target DOUBLE PRECISION,
sv3_bgs_target DOUBLE PRECISION,
sv3_mws_target DOUBLE PRECISION,
sv3_scnd_target DOUBLE PRECISION
);
""".format(tablename)
elif hdu==2 and coadd=='cumulative':
schema="""
CREATE TABLE IF NOT EXISTS {} (
targetid BIGINT,
priority INTEGER,
subpriority DOUBLE PRECISION,
night INTEGER,
expid INTEGER,
mjd DOUBLE PRECISION,
tileid INTEGER,
exptime DOUBLE PRECISION,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
fiberstatus INTEGER,
fiberassign_x REAL,
fiberassign_y REAL,
lambda_ref REAL,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
num_iter BIGINT,
fiber_x DOUBLE PRECISION,
fiber_y DOUBLE PRECISION,
delta_x DOUBLE PRECISION,
delta_y DOUBLE PRECISION,
fiber_ra DOUBLE PRECISION,
fiber_dec DOUBLE PRECISION,
psf_to_fiber_specflux DOUBLE PRECISION,
run TEXT,
program TEXT
);
""".format(tablename)
with engine.connect() as conn:
if overwrite:
cmd = f'DROP TABLE IF EXISTS {tablename};'
conn.execute(text(cmd))
conn.execute(text(schema))
conn.close()
@staticmethod
def fill_table(prod='everest',hdu=1,coadd='pernight',schema=False):
tablename = ztile_everest.tablename(prod=prod,coadd=coadd,hdu=hdu,short=True)
print(tablename)
root = f"/global/project/projectdirs/desi/spectro/redux/{prod}/zcatalog/"
runs=['main','sv1','sv2','sv3']
programs = ['bright','dark','backup','other']
dfs=[]
for run in runs:
for program in programs:
filename = os.path.join(root,f"ztile-{run}-{program}-{coadd}.fits")
print(filename)
try:
dat = Table.read(filename, format='fits',hdu=hdu)
except:
continue
print(filename)
# There is a multidimensional column that needs to be broken up
if hdu==1:
for icoeff in range(0,10):
dat[f'COEFF_{icoeff}']= dat['COEFF'][0:len(dat),icoeff]
dat.remove_column('COEFF')
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df['run']=numpy.full(df.shape[0],run)
df['program']=numpy.full(df.shape[0],program)
df.columns= df.columns.str.lower()
# dtypesToSchema(df.dtypes)
if schema:
dfs.append(df[0:1])
if not schema:
try:
df.to_sql(tablename,engine,index=False,if_exists='append',schema=prod)
except:
dtypesToSchema(df.dtypes)
print(df[0])
sys.exit()
if schema:
dfs = pandas.concat(dfs, ignore_index=True, sort=False)
dtypesToSchema(dfs.dtypes)
class mtl:
schema=f"""
CREATE TABLE IF NOT EXISTS "mtl" (
ra DOUBLE PRECISION,
dec DOUBLE PRECISION,
ref_epoch REAL,
parallax REAL,
pmra REAL,
pmdec REAL,
targetid BIGINT,
sv3_desi_target BIGINT,
sv3_bgs_target BIGINT,
sv3_mws_target BIGINT,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
priority_init BIGINT,
numobs_init BIGINT,
sv3_scnd_target BIGINT,
numobs_more BIGINT,
numobs BIGINT,
z DOUBLE PRECISION,
zwarn BIGINT,
ztileid INTEGER,
target_state TEXT,
timestamp TEXT,
version TEXT,
priority BIGINT,
run TEXT,
program TEXT,
lunation TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
gaia_astrometric_excess_noise REAL,
scnd_order INTEGER,
checker TEXT,
too_type TEXT,
too_prio TEXT,
oclayer TEXT,
mjd_begin DOUBLE PRECISION,
mjd_end DOUBLE PRECISION,
tooid BIGINT
);
"""
root = "/global/cfs/cdirs/desi/survey/ops/surveyops/trunk/mtl/"
runs = ["main","sv3","sv2"]
runs=["sv3"]
programs = ["ToO","","secondary"]
lunations = ["bright","dark",""]
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(f"DROP TABLE IF EXISTS mtl;")
conn.execute(mtl.schema)
conn.close()
@staticmethod
def fill_table():
# The files have column names with SV?_ so purge them
for run in mtl.runs:
for program in mtl.programs:
for lunation in mtl.lunations:
path = os.path.join(mtl.root,run,program,lunation)
if os.path.isdir(path):
print(run, program, lunation)
for file in glob.glob(path+"/*.ecsv"):
if "input" in file:
continue
data = ascii.read(file)
df = data.to_pandas()
df['run']=numpy.full(df.shape[0],run)
df['program']=numpy.full(df.shape[0],program)
df['lunation']=numpy.full(df.shape[0],lunation)
df.columns= df.columns.str.lower()
try:
df.to_sql('mtl',engine,index=False,if_exists='append')
except:
dtypesToSchema(df.dtypes)
print(df.dtypes)
sys.exit()
else:
print (path, 'not exists')
class exposure_tables_daily:
schema="""
CREATE TABLE IF NOT EXISTS "exposure_tables_daily" (
expid BIGINT PRIMARY KEY,
exptime DOUBLE PRECISION,
obstype TEXT,
spectrographs DOUBLE PRECISION,
camword TEXT,
tileid BIGINT,
night BIGINT,
expflag TEXT,
headererr TEXT,
survey TEXT,
seqnum BIGINT,
seqtot BIGINT,
program TEXT,
mjd_obs DOUBLE PRECISION,
reqra DOUBLE PRECISION,
reqdec DOUBLE PRECISION,
targtra DOUBLE PRECISION,
targtdec DOUBLE PRECISION,
comments TEXT,
yyyymmdd BIGINT,
purpose TEXT,
fa_surv TEXT,
badcamword TEXT,
badamps TEXT,
laststep TEXT,
efftime_etc DOUBLE PRECISION,
faprgrm TEXT,
goaltime DOUBLE PRECISION,
goaltype TEXT,
ebvfac DOUBLE PRECISION,
airfac DOUBLE PRECISION,
speed DOUBLE PRECISION
);
"""
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(f"DROP TABLE IF EXISTS exposure_tables_daily;")
conn.execute(exposure_tables_daily.schema)
conn.close()
@staticmethod
def fill_table():
dir_root='/global/cfs/cdirs/desi/spectro/redux/daily/exposure_tables/'
#find the last date
dates_db=[]
try:
with engine.connect() as conn:
for row in conn.execute(f"SELECT DISTINCT yyyymmdd FROM exposure_tables_daily"):
dates_db.append(row[0])
except:
pass
dates = []
for path in glob.glob(f'{dir_root}/*/exposure_table_????????.csv'):
split = path.split('/')
date = split[-1][-12:-4]
dates.append(date)
dates=numpy.sort(dates)
# dates=numpy.flip(dates)
dfs=[]
for date in dates:
if int(date) not in dates_db:
file = f'/global/cfs/cdirs/desi/spectro/redux/daily/exposure_tables/{date[0:6]}/exposure_table_{date}.csv'
data = ascii.read(file)
df = data.to_pandas()
df['YYYYMMDD']=numpy.full(df.shape[0],int(date))
df.columns= df.columns.str.lower()
dfs.append(df)
if len(dfs)>0:
dfs = pandas.concat(dfs, ignore_index=True, sort=False)
dfs.rename(columns={"mjd-obs": "mjd_obs"}, inplace=True)
df.columns= df.columns.str.lower()
try:
dfs.to_sql(f'exposure_tables_daily',engine,index=False,if_exists='append')
except:
dtypesToSchema(dfs.dtypes)
sys.exit()
class proposals_pv:
schema="""
CREATE TABLE IF NOT EXISTS "proposals_pv" (
objid BIGINT,
brickid INTEGER,
brickname TEXT,
ra DOUBLE PRECISION,
dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
override BOOLEAN,
pvtype TEXT,
pvpriority INTEGER,
pointingid INTEGER,
sga_id BIGINT,
priority TEXT,
lunation TEXT,
run TEXT
);
"""
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS proposals_pv;"))
conn.execute(proposals_pv.schema)
conn.close()
@staticmethod
def fill_table():
runs = ["main_year1","sv3","sv1"]
lunations = ["BRIGHT","DARK"]
priorities = ["LOW", "MEDIUM", "HIGH"]
for run in runs:
for lunation in lunations:
for priority in priorities:
filename = f"/global/cfs/cdirs/desi/target/proposals/proposals_{run}_frozen/indata/PV_{lunation}_{priority}.fits"
try:
dat = Table.read(filename, format='fits')
except:
print(f"{filename} not found")
continue
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
df['priority']=numpy.full(df.shape[0],priority)
df['lunation']=numpy.full(df.shape[0],lunation)
df['run']=numpy.full(df.shape[0],run)
df.columns= df.columns.str.lower()
try:
df.to_sql('proposals_pv',engine,index=False,if_exists='append')
except sqlite3.OperationalError as err:
dtypesToSchema(df.dtypes)
sys.exit()
@staticmethod
def fill_sga():
with engine.connect() as conn:
# conn.execute("create table temp as (select * from proposals_pv);")
query = """
UPDATE proposals_pv
SET sga_id = NULL
WHERE sga_id <1;
"""
conn.execute(query)
query = """
UPDATE proposals_pv
SET sga_id = dr9_pv.sga_id
FROM dr9_pv
WHERE proposals_pv.objid = dr9_pv.objid
AND proposals_pv.brickid = dr9_pv.brickid;
"""
conn.execute(query)
class fibermap_daily:
schema="""
CREATE TABLE IF NOT EXISTS "fibermap_daily" (
targetid BIGINT,
petal_loc SMALLINT,
device_loc INTEGER,
location BIGINT,
fiber INTEGER,
fiberstatus INTEGER,
target_ra DOUBLE PRECISION,
target_dec DOUBLE PRECISION,
pmra REAL,
pmdec REAL,
ref_epoch REAL,
lambda_ref REAL,
fa_target BIGINT,
fa_type SMALLINT,
objtype TEXT,
fiberassign_x REAL,
fiberassign_y REAL,
numtarget SMALLINT,
priority INTEGER,
subpriority DOUBLE PRECISION,
obsconditions INTEGER,
release SMALLINT,
brickid INTEGER,
brick_objid INTEGER,
morphtype TEXT,
flux_g REAL,
flux_r REAL,
flux_z REAL,
flux_ivar_g REAL,
flux_ivar_r REAL,
flux_ivar_z REAL,
maskbits SMALLINT,
ref_id BIGINT,
ref_cat TEXT,
gaia_phot_g_mean_mag REAL,
gaia_phot_bp_mean_mag REAL,
gaia_phot_rp_mean_mag REAL,
parallax REAL,
brickname TEXT,
ebv REAL,
flux_w1 REAL,
flux_w2 REAL,
flux_ivar_w1 REAL,
flux_ivar_w2 REAL,
fiberflux_g REAL,
fiberflux_r REAL,
fiberflux_z REAL,
fibertotflux_g REAL,
fibertotflux_r REAL,
fibertotflux_z REAL,
sersic REAL,
shape_r REAL,
shape_e1 REAL,
shape_e2 REAL,
photsys TEXT,
cmx_target BIGINT,
sv1_desi_target BIGINT,
sv1_bgs_target BIGINT,
sv1_mws_target BIGINT,
priority_init BIGINT,
numobs_init BIGINT,
desi_target BIGINT,
bgs_target BIGINT,
mws_target BIGINT,
scnd_target BIGINT,
plate_ra DOUBLE PRECISION,
plate_dec DOUBLE PRECISION,
num_iter BIGINT,
fiber_x DOUBLE PRECISION,
fiber_y DOUBLE PRECISION,
delta_x DOUBLE PRECISION,
delta_y DOUBLE PRECISION,
fiber_ra DOUBLE PRECISION,
fiber_dec DOUBLE PRECISION,
exptime DOUBLE PRECISION,
psf_to_fiber_specflux DOUBLE PRECISION,
night INTEGER,
expid INTEGER,
mjd DOUBLE PRECISION,
tileid INTEGER,
yyyymmdd BIGINT,
blobdist REAL,
fiberflux_ivar_g REAL,
fiberflux_ivar_r REAL,
fiberflux_ivar_z REAL,
hpxpixel BIGINT,
sv1_scnd_target DOUBLE PRECISION,
sv2_desi_target DOUBLE PRECISION,
sv2_bgs_target DOUBLE PRECISION,
sv2_mws_target DOUBLE PRECISION,
sv2_scnd_target DOUBLE PRECISION,
sv3_desi_target DOUBLE PRECISION,
sv3_bgs_target DOUBLE PRECISION,
sv3_mws_target DOUBLE PRECISION,
sv3_scnd_target DOUBLE PRECISION,
PRIMARY KEY (targetid, expid)
);
"""
@staticmethod
def create_table(overwrite = False):
with engine.connect() as conn:
if overwrite:
conn.execute(text("DROP TABLE IF EXISTS fibermap_daily;"))
conn.execute(fibermap_daily.schema)
conn.close()
@staticmethod
def fill_table():
magicdate='20210503' # the last date that daily directory was created
# dir_root = "/global/project/projectdirs/desi/spectro/redux/daily/tiles/cumulative"
dir_root = "/global/project/projectdirs/desi/spectro/redux/daily/tiles/"
#find the last date
dates_db=[]
try:
with engine.connect() as conn:
for row in conn.execute(f"SELECT DISTINCT YYYYMMDD FROM fibermap_daily"):
dates_db.append(row[0])
except:
pass
dates = []
for path in glob.glob(f'{dir_root}/*/202?????'):
split = path.split('/')
dates.append(split[-1])
for path in glob.glob(f'{dir_root}/cumulative/*/202?????'):
split = path.split('/')
dates.append(split[-1])
dates = numpy.unique(dates)
dates=dates[dates >= '20201214']
for date in dates:
if int(date) not in dates_db:
print(date)
# Do things in terms of dates
dfs=[]
if date<=magicdate or date != 20210213 or date != 20210315: # include dates that have missing daily reductions
use_root = dir_root
else:
use_root = dir_root+'/cumulative/'
for path in glob.glob(f'{use_root}/*/{date}'):
split = path.split('/')
tile = split[-2]
if tile.isnumeric():
print(date,tile)
for i in range(10):
if date<=magicdate or date != 20210213 or date != 20210315:
filename = f'{use_root}/{tile}/{date}/zbest-{i}-{tile}-{date}.fits'
else:
filename = f'{use_root}/{tile}/{date}/zbest-{i}-{tile}-thru{date}.fits'
try:
dat = Table.read(filename, format='fits',hdu=2)
except:
print(f"{filename} not found")
continue
dat.convert_bytestring_to_unicode()
df = dat.to_pandas()
# df['TILE']=numpy.full(df.shape[0],int(tile))
# df['PETAL']=numpy.full(df.shape[0],i)
df=df[df['NIGHT']== int(date)]
df['YYYYMMDD']=numpy.full(df.shape[0],int(date))
df.columns= df.columns.str.lower()
dfs.append(df)
if len(dfs)>0:
try:
dfs = pandas.concat(dfs, ignore_index=True, sort=False)
dfs.to_sql(f'fibermap_daily',engine,index=False,if_exists='append')
except:
dtypesToSchema(dfs.dtypes)
sys.exit()
if __name__ == "__main__":
# running as a cron job on cori10
zbest_daily.fill_table()
fibermap_daily.fill_table()
exposure_tables_daily.fill_table()
| 34.552846
| 133
| 0.492773
| 5,866
| 59,500
| 4.800886
| 0.079611
| 0.119842
| 0.035793
| 0.01534
| 0.802997
| 0.784887
| 0.773383
| 0.745863
| 0.729103
| 0.709218
| 0
| 0.014605
| 0.43842
| 59,500
| 1,722
| 134
| 34.552846
| 0.828216
| 0.01958
| 0
| 0.793828
| 0
| 0.002626
| 0.629055
| 0.034821
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015758
| false
| 0.003283
| 0.009192
| 0
| 0.043992
| 0.017728
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
e1d95d5df30e30e5f5a25b72fb8d788c9240eefa
| 735
|
py
|
Python
|
create_conda_env.py
|
machism0/non-bonded-periodic
|
30a6a10cae7487f88451db78319f66cf145bcba5
|
[
"MIT"
] | null | null | null |
create_conda_env.py
|
machism0/non-bonded-periodic
|
30a6a10cae7487f88451db78319f66cf145bcba5
|
[
"MIT"
] | 6
|
2017-12-18T12:48:52.000Z
|
2018-02-22T08:38:53.000Z
|
create_conda_env.py
|
machism0/non-bonded-periodic
|
30a6a10cae7487f88451db78319f66cf145bcba5
|
[
"MIT"
] | 3
|
2017-12-11T16:11:15.000Z
|
2018-04-22T23:16:14.000Z
|
import subprocess
import os
if os.name != 'nt':
# UNIX/MAC
try:
with open(os.devnull, 'wb') as quiet:
subprocess.run('conda env create -f environment.yml'.split(),
check=True,
stderr=quiet)
except subprocess.CalledProcessError:
subprocess.run('conda env update -f environment.yml'.split())
else:
# WINDOWS
try:
with open(os.devnull, 'wb') as quiet:
subprocess.run('conda env create -f win-environment.yml'.split(),
check=True,
stderr=quiet)
except subprocess.CalledProcessError:
subprocess.run('conda env update -f win-environment.yml'.split())
| 31.956522
| 77
| 0.560544
| 80
| 735
| 5.15
| 0.4
| 0.126214
| 0.174757
| 0.203884
| 0.82767
| 0.76699
| 0.76699
| 0.76699
| 0.76699
| 0.76699
| 0
| 0
| 0.330612
| 735
| 22
| 78
| 33.409091
| 0.837398
| 0.021769
| 0
| 0.555556
| 0
| 0
| 0.215084
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c023baa701789acafc33daa82f2de95fbe41afe6
| 7,686
|
py
|
Python
|
habitat/reporting/migrations/0007_auto_20171009_2046.py
|
matrach/habitatOS
|
1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3
|
[
"MIT"
] | 1
|
2021-02-01T19:04:39.000Z
|
2021-02-01T19:04:39.000Z
|
habitat/reporting/migrations/0007_auto_20171009_2046.py
|
matrach/habitatOS
|
1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3
|
[
"MIT"
] | null | null | null |
habitat/reporting/migrations/0007_auto_20171009_2046.py
|
matrach/habitatOS
|
1ae2a3caf6f279cf6d6d20bcd81f24d50f61d7d3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-09 20:46
from __future__ import unicode_literals
from django.db import migrations, models
import habitat.timezone.models.martian_standard_time
class Migration(migrations.Migration):
dependencies = [
('reporting', '0006_auto_20171008_2242'),
]
operations = [
migrations.AddField(
model_name='daily',
name='addional_activities',
field=models.TextField(blank=True, default=True, null=True, verbose_name='Additional Activities'),
),
migrations.AddField(
model_name='daily',
name='scheduled_activities',
field=models.TextField(blank=True, default=True, null=True, verbose_name='Scheduled Activities'),
),
migrations.AlterField(
model_name='communication',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='communication',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='daily',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='daily',
name='remarks',
field=models.TextField(blank=True, default=True, null=True, verbose_name='Additional Remarks'),
),
migrations.AlterField(
model_name='daily',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='incident',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='incident',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='medical',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='mood',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='mood',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='repair',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='repair',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='sleep',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='sociodynamicreport',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='sociodynamicreport',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
migrations.AlterField(
model_name='waste',
name='date',
field=models.CharField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.date, help_text='example: 51099.420109, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', max_length=15, verbose_name='Mars Sol Date'),
),
migrations.AlterField(
model_name='waste',
name='time',
field=models.TimeField(default=habitat.timezone.models.martian_standard_time.MartianStandardTime.time, help_text='example: 16:04:57, <a href="/api/v1/timezone/martian-standard-time/converter/" target="_blank">use converter</a> to calculate from Earth time', verbose_name='Coordinated Mars Time'),
),
]
| 68.625
| 319
| 0.690086
| 908
| 7,686
| 5.705947
| 0.099119
| 0.095541
| 0.121019
| 0.091874
| 0.9475
| 0.9475
| 0.898668
| 0.898668
| 0.898668
| 0.898668
| 0
| 0.033053
| 0.181239
| 7,686
| 111
| 320
| 69.243243
| 0.790243
| 0.008847
| 0
| 0.836538
| 1
| 0.153846
| 0.38109
| 0.120683
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.028846
| 0
| 0.057692
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c03798f58d7c3400ea5f538a5f0288aa3b584e0f
| 320
|
py
|
Python
|
bitmovin_api_sdk/encoding/inputs/s3_role_based/__init__.py
|
jaythecaesarean/bitmovin-api-sdk-python
|
48166511fcb9082041c552ace55a9b66cc59b794
|
[
"MIT"
] | 11
|
2019-07-03T10:41:16.000Z
|
2022-02-25T21:48:06.000Z
|
bitmovin_api_sdk/encoding/inputs/s3_role_based/__init__.py
|
jaythecaesarean/bitmovin-api-sdk-python
|
48166511fcb9082041c552ace55a9b66cc59b794
|
[
"MIT"
] | 8
|
2019-11-23T00:01:25.000Z
|
2021-04-29T12:30:31.000Z
|
bitmovin_api_sdk/encoding/inputs/s3_role_based/__init__.py
|
jaythecaesarean/bitmovin-api-sdk-python
|
48166511fcb9082041c552ace55a9b66cc59b794
|
[
"MIT"
] | 13
|
2020-01-02T14:58:18.000Z
|
2022-03-26T12:10:30.000Z
|
from bitmovin_api_sdk.encoding.inputs.s3_role_based.s3_role_based_api import S3RoleBasedApi
from bitmovin_api_sdk.encoding.inputs.s3_role_based.customdata.customdata_api import CustomdataApi
from bitmovin_api_sdk.encoding.inputs.s3_role_based.s3_role_based_input_list_query_params import S3RoleBasedInputListQueryParams
| 80
| 128
| 0.921875
| 47
| 320
| 5.808511
| 0.382979
| 0.10989
| 0.201465
| 0.197802
| 0.553114
| 0.553114
| 0.553114
| 0.553114
| 0.553114
| 0.395604
| 0
| 0.022727
| 0.0375
| 320
| 3
| 129
| 106.666667
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
fbf3d607364198930bad796a743cd75010484504
| 28,675
|
py
|
Python
|
alphacsc/other/sporco/sporco/fista/cbpdndl.py
|
sophiaas/alphacsc
|
402b8f6c8ee4ba9c86e9da0e2073d900cf8da207
|
[
"BSD-3-Clause"
] | 89
|
2017-05-31T19:20:52.000Z
|
2022-03-22T09:52:17.000Z
|
alphacsc/other/sporco/sporco/fista/cbpdndl.py
|
sophiaas/alphacsc
|
402b8f6c8ee4ba9c86e9da0e2073d900cf8da207
|
[
"BSD-3-Clause"
] | 75
|
2017-07-15T14:03:40.000Z
|
2022-03-29T17:31:58.000Z
|
alphacsc/other/sporco/sporco/fista/cbpdndl.py
|
sophiaas/alphacsc
|
402b8f6c8ee4ba9c86e9da0e2073d900cf8da207
|
[
"BSD-3-Clause"
] | 35
|
2017-06-16T12:48:23.000Z
|
2022-03-21T09:49:55.000Z
|
# -*- coding: utf-8 -*-
# Copyright (C) 2016-2017 by Brendt Wohlberg <brendt@ieee.org>
# Cristina Garcia-Cardona <cgarciac@lanl.gov>
# All rights reserved. BSD 3-clause License.
# This file is part of the SPORCO package. Details of the copyright
# and user license can be found in the 'LICENSE.txt' file distributed
# with the package.
"""Dictionary learning based on CBPDN sparse coding"""
from __future__ import print_function
from __future__ import absolute_import
from builtins import range
from builtins import object
import copy
import numpy as np
from sporco.util import u
import sporco.linalg as sl
import sporco.cnvrep as cr
from sporco.fista import ccmod
from sporco.admm import dictlrn
import sporco.admm.cbpdn as Acbpdn
from sporco.fista import cbpdn as Fcbpdn
__author__ = """Cristina Garcia-Cardona <cgarciac@lanl.gov>"""
class ConvBPDNDictLearn(dictlrn.DictLearn):
r"""**Class inheritance structure**
.. inheritance-diagram:: ConvBPDNDictLearn
:parts: 2
|
Dictionary learning based on ConvBPDN (FISTA) and ConvCnstrMOD
(FISTA) :cite:`garcia-2017-convolutional`.
Solve the optimisation problem
.. math::
\mathrm{argmin}_{\mathbf{d}, \mathbf{x}} \;
(1/2) \sum_k \left \| \sum_m \mathbf{d}_m * \mathbf{x}_{k,m} -
\mathbf{s}_k \right \|_2^2 + \lambda \sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1 \quad \text{such that}
\quad \mathbf{d}_m \in C \;\;,
where :math:`C` is the feasible set consisting of filters with
unit norm and constrained support, via interleaved alternation
between FISTA steps of the :class:`.fista.cbpdn.ConvBPDN` and
:class:`.ConvCnstrMOD` problems. The multi-channel variants
supported by :class:`.ConvCnstrMOD` are also supported.
After termination of the :meth:`solve` method, attribute :attr:`itstat`
is a list of tuples representing statistics of each iteration. The
fields of the named tuple ``IterationStats`` are:
``Iter`` : Iteration number
``ObjFun`` : Objective function value
``DFid`` : Value of data fidelity term :math:`(1/2) \sum_k \|
\sum_m \mathbf{d}_m * \mathbf{x}_{k,m} - \mathbf{s}_k \|_2^2`
``RegL1`` : Value of regularisation term :math:`\sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1`
``Cnstr`` : Constraint violation measure
``X_F_Btrack`` : Value of objective function for CSC problem
``X_Q_Btrack`` : Value of Quadratic approximation for CSC problem
``X_ItBt`` : Number of iterations in bactracking for CSC problem
``X_L`` : Inverse of gradient step parameter for CSC problem
``D_F_Btrack`` : Value of objective function for CDU problem
``D_Q_Btrack`` : Value of Quadratic approximation for CDU problem
``D_ItBt`` : Number of iterations in bactracking for CDU problem
``D_L`` : Inverse of gradient step parameter for CDU problem
``Time`` : Cumulative run time
"""
class Options(dictlrn.DictLearn.Options):
"""ConvBPDNDictLearn dictionary learning algorithm options.
Options include all of those defined in
:class:`.dictlrn.DictLearn.Options`, together with
additional options:
``AccurateDFid`` : Flag determining whether data fidelity term is
estimated from the value computed in the X update (``False``) or is
computed after every outer iteration over an X update and a D
update (``True``), which is slower but more accurate.
``DictSize`` : Dictionary size vector.
``CBPDN`` : Options :class:`.cbpdn.GenericConvBPDN.Options`
``CCMOD`` : Options :func:`.ccmod.ConvCnstrMOD.Options`
"""
defaults = copy.deepcopy(dictlrn.DictLearn.Options.defaults)
defaults.update({'DictSize' : None, 'AccurateDFid' : False,
'CBPDN' : copy.deepcopy(
Fcbpdn.ConvBPDN.Options.defaults)})
def __init__(self, opt=None):
"""Initialise ConvDictLearnFista dictionary learning algorithm
options.
"""
self.defaults.update({'CCMOD' : copy.deepcopy(
ccmod.ConvCnstrMOD.Options.defaults)})
dictlrn.DictLearn.Options.__init__(self, {
'CBPDN': Fcbpdn.ConvBPDN.Options(
{'MaxMainIter': 1,
'BackTrack': {'Eta': 1.2, 'MaxIter': 50}}),
'CCMOD': ccmod.ConvCnstrMOD.Options({'MaxMainIter': 1,
'BackTrack': {'Eta': 1.2, 'MaxIter': 50}})
})
if opt is None:
opt = {}
self.update(opt)
def __init__(self, D0, S, lmbda=None, opt=None, dimK=1, dimN=2):
"""
Initialise a ConvBPDNDictLearn object with problem size and options.
Parameters
----------
D0 : array_like
Initial dictionary array
S : array_like
Signal array
lmbda : float
Regularisation parameter
opt : :class:`ConvBPDNDictLearn.Options` object
Algorithm options
dimK : int, optional (default 1)
Number of signal dimensions. If there is only a single input
signal (e.g. if `S` is a 2D array representing a single image)
`dimK` must be set to 0.
dimN : int, optional (default 2)
Number of spatial/temporal dimensions
"""
if opt is None:
opt = ConvBPDNDictLearn.Options()
self.opt = opt
# Get dictionary size
if self.opt['DictSize'] is None:
dsz = D0.shape
else:
dsz = self.opt['DictSize']
# Construct object representing problem dimensions
cri = cr.CDU_ConvRepIndexing(dsz, S, dimK, dimN)
# Normalise dictionary
D0 = cr.Pcn(D0, dsz, cri.Nv, dimN, cri.dimCd, crp=True,
zm=opt['CCMOD', 'ZeroMean'])
# Modify D update options to include initial values for X
opt['CCMOD'].update({'X0' : cr.zpad(
cr.stdformD(D0, cri.C, cri.M, dimN), cri.Nv)})
# Create X update object
xstep = Fcbpdn.ConvBPDN(D0, S, lmbda, opt['CBPDN'],
dimK=dimK, dimN=dimN)
# Create D update object
dstep = ccmod.ConvCnstrMOD(None, S, dsz, opt['CCMOD'],
dimK=dimK, dimN=dimN)
print("L xstep in cbpdndl: ", xstep.L)
print("L dstep in cbpdndl: ", dstep.L)
# Configure iteration statistics reporting
isfld = ['Iter', 'ObjFun', 'DFid', 'RegL1', 'Cnstr']
hdrtxt = ['Itn', 'Fnc', 'DFid', u('ℓ1'), 'Cnstr']
hdrmap = {'Itn': 'Iter', 'Fnc': 'ObjFun', 'DFid': 'DFid',
u('ℓ1'): 'RegL1', 'Cnstr': 'Cnstr'}
if self.opt['AccurateDFid']:
isxmap = {'X_F_Btrack': 'F_Btrack', 'X_Q_Btrack': 'Q_Btrack',
'X_ItBt': 'IterBTrack', 'X_L': 'L',
'X_Rsdl': 'Rsdl'}
evlmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1'}
else:
isxmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1',
'X_F_Btrack': 'F_Btrack', 'X_Q_Btrack': 'Q_Btrack',
'X_ItBt': 'IterBTrack', 'X_L': 'L',
'X_Rsdl': 'Rsdl'}
evlmap = {}
# If Backtracking enabled in xstep display the BT variables also
if xstep.opt['BackTrack', 'Enabled']:
isfld.extend(['X_F_Btrack', 'X_Q_Btrack', 'X_ItBt', 'X_L',
'X_Rsdl'])
hdrtxt.extend(['F_X', 'Q_X', 'It_X', 'L_X'])
hdrmap.update({'F_X': 'X_F_Btrack','Q_X': 'X_Q_Btrack',
'It_X': 'X_ItBt', 'L_X': 'X_L'})
else: # Add just L value to xstep display
isfld.extend(['X_L', 'X_Rsdl'])
hdrtxt.append('L_X')
hdrmap.update({'L_X': 'X_L'})
isdmap = {'Cnstr': 'Cnstr', 'D_F_Btrack': 'F_Btrack',
'D_Q_Btrack': 'Q_Btrack', 'D_ItBt': 'IterBTrack',
'D_L': 'L', 'D_Rsdl': 'Rsdl'}
# If Backtracking enabled in dstep display the BT variables also
if dstep.opt['BackTrack', 'Enabled']:
isfld.extend(['D_F_Btrack', 'D_Q_Btrack', 'D_ItBt', 'D_L',
'D_Rsdl', 'Time'])
hdrtxt.extend(['F_D', 'Q_D', 'It_D', 'L_D'])
hdrmap.update({'F_D': 'D_F_Btrack', 'Q_D': 'D_Q_Btrack',
'It_D': 'D_ItBt', 'L_D': 'D_L'})
else: # Add just L value to dstep display
isfld.extend(['D_L', 'D_Rsdl', 'Time'])
hdrtxt.append('L_D')
hdrmap.update({'L_D': 'D_L'})
isc = dictlrn.IterStatsConfig(isfld=isfld, isxmap=isxmap,
isdmap=isdmap, evlmap=evlmap,
hdrtxt=hdrtxt, hdrmap=hdrmap)
# Call parent constructor
super(ConvBPDNDictLearn, self).__init__(xstep, dstep, opt, isc)
def getdict(self, crop=True):
"""Get final dictionary. If ``crop`` is ``True``, apply
:func:`.cnvrep.bcrop` to returned array.
"""
return self.dstep.getdict(crop=crop)
def evaluate(self):
"""Evaluate functional value of previous iteration"""
if self.opt['AccurateDFid']:
D = self.getdict(crop=False)
X = self.getcoef()
Df = sl.rfftn(D, self.xstep.cri.Nv, self.xstep.cri.axisN)
Xf = sl.rfftn(X, self.xstep.cri.Nv, self.xstep.cri.axisN)
Sf = self.xstep.Sf
Ef = np.sum(Df * Xf, axis=self.xstep.cri.axisM, keepdims=True) - Sf
dfd = sl.rfl2norm2(Ef, self.xstep.S.shape,
axis=self.xstep.cri.axisN)/2.0
rl1 = np.sum(np.abs(X))
return dict(DFid=dfd, RegL1=rl1, ObjFun=dfd+self.xstep.lmbda*rl1)
else:
return None
class MixConvBPDNDictLearn(dictlrn.DictLearn):
r"""**Class inheritance structure**
.. inheritance-diagram:: MixConvBPDNDictLearn
:parts: 2
|
Dictionary learning based on ConvBPDN (ADMM) and ConvCnstrMOD (FISTA)
:cite:`garcia-2017-convolutional`.
Solve the optimisation problem
.. math::
\mathrm{argmin}_{\mathbf{d}, \mathbf{x}} \;
(1/2) \sum_k \left \| \sum_m \mathbf{d}_m * \mathbf{x}_{k,m} -
\mathbf{s}_k \right \|_2^2 + \lambda \sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1 \quad \text{such that}
\quad \mathbf{d}_m \in C \;\;,
where :math:`C` is the feasible set consisting of filters with
unit norm and constrained support, via interleaved alternation
between ADMM steps of the :class:`.admm.cbpdn.ConvBPDN` and FISTA steps
:class:`.ConvCnstrMOD` problems. The multi-channel variants
supported by :class:`.ConvCnstrMOD` are also supported.
After termination of the :meth:`solve` method, attribute :attr:`itstat`
is a list of tuples representing statistics of each iteration. The
fields of the named tuple ``IterationStats`` are:
``Iter`` : Iteration number
``ObjFun`` : Objective function value
``DFid`` : Value of data fidelity term :math:`(1/2) \sum_k \|
\sum_m \mathbf{d}_m * \mathbf{x}_{k,m} - \mathbf{s}_k \|_2^2`
``RegL1`` : Value of regularisation term :math:`\sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1`
``Cnstr`` : Constraint violation measure
``XPrRsdl`` : Norm of X primal residual
``XDlRsdl`` : Norm of X dual residual
``XRho`` : X penalty parameter
``D_F_Btrack`` : Value of objective function for CDU problem
``D_Q_Btrack`` : Value of Quadratic approximation for CDU problem
``D_ItBt`` : Number of iterations in bactracking for CDU problem
``D_L`` : Inverse of gradient step parameter for CDU problem
``Time`` : Cumulative run time
"""
class Options(dictlrn.DictLearn.Options):
"""MixConvBPDNDictLearn dictionary learning algorithm options.
Options include all of those defined in
:class:`.dictlrn.DictLearn.Options`, together with
additional options:
``AccurateDFid`` : Flag determining whether data fidelity term is
estimated from the value computed in the X update (``False``) or is
computed after every outer iteration over an X update and a D
update (``True``), which is slower but more accurate.
``DictSize`` : Dictionary size vector.
``CBPDN`` : Options :class:`.admm.cbpdn.ConvBPDN.Options`
``CCMOD`` : Options :func:`.ccmod.ConvCnstrMOD.Options`
"""
defaults = copy.deepcopy(dictlrn.DictLearn.Options.defaults)
defaults.update({'DictSize' : None, 'AccurateDFid' : False,
'CBPDN' : copy.deepcopy(
Acbpdn.ConvBPDN.Options.defaults)})
def __init__(self, opt=None):
"""Initialise ConvBPDNAdmm_DictLearnFista dictionary learning
algorithm options.
"""
self.defaults.update({'CCMOD' : copy.deepcopy(
ccmod.ConvCnstrMOD.Options.defaults)})
dictlrn.DictLearn.Options.__init__(self, {
'CBPDN': Acbpdn.ConvBPDN.Options({'MaxMainIter': 1,
'AutoRho': {'Period': 10, 'AutoScaling': False,
'RsdlRatio': 10.0, 'Scaling': 2.0,
'RsdlTarget': 1.0}}),
'CCMOD': ccmod.ConvCnstrMOD.Options(
{'MaxMainIter': 1,
'BackTrack': {'Eta': 1.2, 'MaxIter': 50}})
})
if opt is None:
opt = {}
self.update(opt)
def __init__(self, D0, S, lmbda=None, opt=None, dimK=1, dimN=2):
"""
Initialise a MixConvBPDNDictLearn object with problem size
and options.
Parameters
----------
D0 : array_like
Initial dictionary array
S : array_like
Signal array
lmbda : float
Regularisation parameter
opt : :class:`ConvBPDNDictLearn.Options` object
Algorithm options
dimK : int, optional (default 1)
Number of signal dimensions. If there is only a single input
signal (e.g. if `S` is a 2D array representing a single image)
`dimK` must be set to 0.
dimN : int, optional (default 2)
Number of spatial/temporal dimensions
"""
if opt is None:
opt = MixConvBPDNDictLearn.Options()
self.opt = opt
# Get dictionary size
if self.opt['DictSize'] is None:
dsz = D0.shape
else:
dsz = self.opt['DictSize']
# Construct object representing problem dimensions
cri = cr.CDU_ConvRepIndexing(dsz, S, dimK, dimN)
# Normalise dictionary
D0 = cr.Pcn(D0, dsz, cri.Nv, dimN, cri.dimCd, crp=True,
zm=opt['CCMOD', 'ZeroMean'])
# Modify D update options to include initial values for Y and U
opt['CCMOD'].update({'X0' : cr.zpad(
cr.stdformD(D0, cri.C, cri.M, dimN), cri.Nv)})
# Create X update object
xstep = Acbpdn.ConvBPDN(D0, S, lmbda, opt['CBPDN'], dimK=dimK,
dimN=dimN)
# Create D update object
dstep = ccmod.ConvCnstrMOD(None, S, dsz, opt['CCMOD'],
dimK=dimK, dimN=dimN)
# Configure iteration statistics reporting
if self.opt['AccurateDFid']:
isxmap = {'XPrRsdl': 'PrimalRsdl', 'XDlRsdl': 'DualRsdl',
'XRho': 'Rho'}
evlmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1'}
else:
isxmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1',
'XPrRsdl': 'PrimalRsdl', 'XDlRsdl': 'DualRsdl',
'XRho': 'Rho'}
evlmap = {}
if dstep.opt['BackTrack', 'Enabled']:
isfld = ['Iter', 'ObjFun', 'DFid', 'RegL1', 'Cnstr', 'XPrRsdl',
'XDlRsdl', 'XRho', 'D_F_Btrack', 'D_Q_Btrack', 'D_ItBt',
'D_L', 'Time']
isdmap = {'Cnstr': 'Cnstr', 'D_F_Btrack': 'F_Btrack',
'D_Q_Btrack': 'Q_Btrack', 'D_ItBt': 'IterBTrack',
'D_L': 'L'}
hdrtxt = ['Itn', 'Fnc', 'DFid', u('ℓ1'), 'Cnstr', 'r_X', 's_X',
u('ρ_X'), 'F_D', 'Q_D', 'It_D', 'L_D']
hdrmap={'Itn': 'Iter', 'Fnc': 'ObjFun', 'DFid': 'DFid',
u('ℓ1'): 'RegL1', 'Cnstr': 'Cnstr', 'r_X': 'XPrRsdl',
's_X': 'XDlRsdl', u('ρ_X'): 'XRho', 'F_D': 'D_F_Btrack',
'Q_D': 'D_Q_Btrack', 'It_D': 'D_ItBt', 'L_D': 'D_L'}
else:
isfld = ['Iter', 'ObjFun', 'DFid', 'RegL1', 'Cnstr', 'XPrRsdl',
'XDlRsdl', 'XRho', 'D_L', 'Time']
isdmap={'Cnstr': 'Cnstr', 'D_L': 'L'}
hdrtxt=['Itn', 'Fnc', 'DFid', u('ℓ1'), 'Cnstr', 'r_X', 's_X',
u('ρ_X'), 'L_D']
hdrmap={'Itn': 'Iter', 'Fnc': 'ObjFun', 'DFid': 'DFid',
u('ℓ1'): 'RegL1', 'Cnstr': 'Cnstr', 'r_X': 'XPrRsdl',
's_X': 'XDlRsdl', u('ρ_X'): 'XRho', 'L_D': 'D_L'}
isc = dictlrn.IterStatsConfig(isfld=isfld, isxmap=isxmap,
isdmap=isdmap, evlmap=evlmap,
hdrtxt=hdrtxt, hdrmap=hdrmap)
# Call parent constructor
super(MixConvBPDNDictLearn, self).__init__(xstep, dstep, opt,
isc)
def getdict(self, crop=True):
"""Get final dictionary. If ``crop`` is ``True``, apply
:func:`.cnvrep.bcrop` to returned array.
"""
return self.dstep.getdict(crop=crop)
def reconstruct(self, D=None, X=None):
"""Reconstruct representation."""
if D is None:
D = self.getdict(crop=False)
if X is None:
X = self.getcoef()
Df = sl.rfftn(D, self.xstep.cri.Nv, self.xstep.cri.axisN)
Xf = sl.rfftn(X, self.xstep.cri.Nv, self.xstep.cri.axisN)
DXf = sl.inner(Df, Xf, axis=self.xstep.cri.axisM)
return sl.irfftn(DXf, self.xstep.cri.Nv, self.xstep.cri.axisN)
def evaluate(self):
"""Evaluate functional value of previous iteration"""
if self.opt['AccurateDFid']:
D = self.getdict(crop=False)
X = self.getcoef()
Df = sl.rfftn(D, self.xstep.cri.Nv, self.xstep.cri.axisN)
Xf = sl.rfftn(X, self.xstep.cri.Nv, self.xstep.cri.axisN)
Sf = self.xstep.Sf
Ef = np.sum(Df * Xf, axis=self.xstep.cri.axisM, keepdims=True) - Sf
dfd = sl.rfl2norm2(Ef, self.xstep.S.shape,
axis=self.xstep.cri.axisN)/2.0
rl1 = np.sum(np.abs(X))
return dict(DFid=dfd, RegL1=rl1, ObjFun=dfd+self.xstep.lmbda*rl1)
else:
return None
class MixConvBPDNMaskDcplDictLearn(dictlrn.DictLearn):
r"""**Class inheritance structure**
.. inheritance-diagram:: MixConvBPDNMaskDcplDictLearn
:parts: 2
|
Dictionary learning based on ConvBPDNMaskDcpl (ADMM) and
ConvCnstrMODMaskDcpl (FISTA) :cite:`garcia-2017-convolutional`.
Solve the optimisation problem
.. math::
\mathrm{argmin}_{\mathbf{d}, \mathbf{x}} \;
(1/2) \sum_k \left \| W (\sum_m \mathbf{d}_m * \mathbf{x}_{k,m} -
\mathbf{s}_k ) \right \|_2^2 + \lambda \sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1 \quad \text{such that}
\quad \mathbf{d}_m \in C \;\; \forall m \;,
where :math:`C` is the feasible set consisting of filters with
unit norm and constrained support, via interleaved alternation
between ADMM steps of the :class:`.admm.cbpdn.ConvBPDNMaskDcpl` and
FISTA steps :class:`.ConvCnstrMODMaskDcpl` problems. The
multi-channel variants supported by :class:`.admm.cbpdn.ConvBPDNMaskDcpl`
and :func:`.ConvCnstrMODMaskDcpl` are also supported.
After termination of the :meth:`solve` method, attribute :attr:`itstat` is
a list of tuples representing statistics of each iteration. The
fields of the named tuple ``IterationStats`` are:
``Iter`` : Iteration number
``ObjFun`` : Objective function value
``DFid`` : Value of data fidelity term :math:`(1/2) \sum_k \|
\sum_m \mathbf{d}_m * \mathbf{x}_{k,m} - \mathbf{s}_k \|_2^2`
``RegL1`` : Value of regularisation term :math:`\sum_k \sum_m
\| \mathbf{x}_{k,m} \|_1`
``Cnstr`` : Constraint violation measure
``XPrRsdl`` : Norm of X primal residual
``XDlRsdl`` : Norm of X dual residual
``XRho`` : X penalty parameter
``D_F_Btrack`` : Value of objective function for CDU problem
``D_Q_Btrack`` : Value of Quadratic approximation for CDU problem
``D_ItBt`` : Number of iterations in bactracking for CDU problem
``D_L`` : Inverse of gradient step parameter for CDU problem
``Time`` : Cumulative run time
"""
class Options(dictlrn.DictLearn.Options):
"""MixConvBPDNMaskDcplDictLearn dictionary learning algorithm
options.
Options include all of those defined in
:class:`.dictlrn.DictLearn.Options`, together with
additional options:
``AccurateDFid`` : Flag determining whether data fidelity term is
estimated from the value computed in the X update (``False``) or is
computed after every outer iteration over an X update and a D
update (``True``), which is slower but more accurate.
``DictSize`` : Dictionary size vector.
``CBPDN`` : Options :class:`.admm.cbpdn.ConvBPDNMaskDcpl.Options`
``CCMOD`` : Options :func:`.ccmod.ConvCnstrMODMaskDcpl.Options`
"""
defaults = copy.deepcopy(dictlrn.DictLearn.Options.defaults)
defaults.update({'DictSize' : None, 'AccurateDFid' : False,
'CBPDN' : copy.deepcopy(
Acbpdn.ConvBPDNMaskDcpl.Options.defaults)})
def __init__(self, opt=None):
"""Initialise ConvBPDNMaskDcplDictLearn dictionary
learning algorithm options.
"""
self.defaults.update({'CCMOD' : copy.deepcopy(
ccmod.ConvCnstrMODMaskDcpl.Options.defaults)})
dictlrn.DictLearn.Options.__init__(self, {
'CBPDN': Acbpdn.ConvBPDNMaskDcpl.Options({'MaxMainIter': 1,
'AutoRho': {'Period': 10, 'AutoScaling': False,
'RsdlRatio': 10.0, 'Scaling': 2.0, 'RsdlTarget': 1.0}}),
'CCMOD': ccmod.ConvCnstrMODMaskDcpl.Options(
{'MaxMainIter': 1,
'BackTrack': {'Eta': 1.2, 'MaxIter': 50}})
})
if opt is None:
opt = {}
self.update(opt)
def __init__(self, D0, S, lmbda, W, opt=None, dimK=1, dimN=2):
"""
Initialise a MixConvBPDNMaskDcplDictLearn object with problem
size and options.
Parameters
----------
D0 : array_like
Initial dictionary array
S : array_like
Signal array
lmbda : float
Regularisation parameter
W : array_like
Mask array. The array shape must be such that the array is
compatible for multiplication with the *internal* shape of
input array S (see :class:`.cnvrep.CDU_ConvRepIndexing` for a
discussion of the distinction between *external* and *internal*
data layouts).
opt : :class:`MixConvBPDNMaskDcplDictLearn.Options` object
Algorithm options
dimK : int, optional (default 1)
Number of signal dimensions. If there is only a single input
signal (e.g. if `S` is a 2D array representing a single image)
`dimK` must be set to 0.
dimN : int, optional (default 2)
Number of spatial/temporal dimensions
"""
if opt is None:
opt = MixConvBPDNMaskDcplDictLearn.Options()
self.opt = opt
# Get dictionary size
if self.opt['DictSize'] is None:
dsz = D0.shape
else:
dsz = self.opt['DictSize']
# Construct object representing problem dimensions
cri = cr.CDU_ConvRepIndexing(dsz, S, dimK, dimN)
# Normalise dictionary
D0 = cr.Pcn(D0, dsz, cri.Nv, dimN, cri.dimCd, crp=True,
zm=opt['CCMOD', 'ZeroMean'])
# Modify D update options to include initial values for X
X0 = cr.zpad(cr.stdformD(D0, cri.Cd, cri.M, dimN), cri.Nv)
opt['CCMOD'].update({'X0' : X0})
# Create X update object
xstep = Acbpdn.ConvBPDNMaskDcpl(D0, S, lmbda, W, opt['CBPDN'],
dimK=dimK, dimN=dimN)
# Create D update object
dstep = ccmod.ConvCnstrMODMaskDcpl(None, S, W, dsz, opt['CCMOD'],
dimK=dimK, dimN=dimN)
# Configure iteration statistics reporting
if self.opt['AccurateDFid']:
isxmap = {'XPrRsdl': 'PrimalRsdl', 'XDlRsdl': 'DualRsdl',
'XRho': 'Rho'}
evlmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1'}
else:
isxmap = {'ObjFun': 'ObjFun', 'DFid': 'DFid', 'RegL1': 'RegL1',
'XPrRsdl': 'PrimalRsdl', 'XDlRsdl': 'DualRsdl',
'XRho': 'Rho'}
evlmap = {}
if dstep.opt['BackTrack', 'Enabled']:
isfld = ['Iter', 'ObjFun', 'DFid', 'RegL1', 'Cnstr', 'XPrRsdl',
'XDlRsdl', 'XRho', 'D_F_Btrack', 'D_Q_Btrack', 'D_ItBt',
'D_L', 'Time']
isdmap = {'Cnstr': 'Cnstr', 'D_F_Btrack': 'F_Btrack',
'D_Q_Btrack': 'Q_Btrack', 'D_ItBt': 'IterBTrack',
'D_L': 'L'}
hdrtxt = ['Itn', 'Fnc', 'DFid', u('ℓ1'), 'Cnstr', 'r_X', 's_X',
u('ρ_X'), 'F_D', 'Q_D', 'It_D', 'L_D']
hdrmap = {'Itn': 'Iter', 'Fnc': 'ObjFun', 'DFid': 'DFid',
u('ℓ1'): 'RegL1', 'Cnstr': 'Cnstr', 'r_X': 'XPrRsdl',
's_X': 'XDlRsdl', u('ρ_X'): 'XRho', 'F_D': 'D_F_Btrack',
'Q_D': 'D_Q_Btrack', 'It_D': 'D_ItBt', 'L_D': 'D_L'}
else:
isfld = ['Iter', 'ObjFun', 'DFid', 'RegL1', 'Cnstr', 'XPrRsdl',
'XDlRsdl', 'XRho', 'D_L', 'Time']
isdmap = {'Cnstr': 'Cnstr', 'D_L': 'L'}
hdrtxt = ['Itn', 'Fnc', 'DFid', u('ℓ1'), 'Cnstr', 'r_X', 's_X',
u('ρ_X'), 'L_D']
hdrmap = {'Itn': 'Iter', 'Fnc': 'ObjFun', 'DFid': 'DFid',
u('ℓ1'): 'RegL1', 'Cnstr': 'Cnstr', 'r_X': 'XPrRsdl',
's_X': 'XDlRsdl', u('ρ_X'): 'XRho', 'L_D': 'D_L'}
isc = dictlrn.IterStatsConfig(isfld=isfld, isxmap=isxmap,
isdmap=isdmap, evlmap=evlmap,
hdrtxt=hdrtxt, hdrmap=hdrmap)
# Call parent constructor
super(MixConvBPDNMaskDcplDictLearn, self).__init__(xstep, dstep,
opt, isc)
def getdict(self, crop=True):
"""Get final dictionary. If ``crop`` is ``True``, apply
:func:`.cnvrep.bcrop` to returned array.
"""
return self.dstep.getdict(crop=crop)
def reconstruct(self, D=None, X=None):
"""Reconstruct representation."""
if D is None:
D = self.getdict(crop=False)
if X is None:
X = self.getcoef()
Df = sl.rfftn(D, self.xstep.cri.Nv, self.xstep.cri.axisN)
Xf = sl.rfftn(X, self.xstep.cri.Nv, self.xstep.cri.axisN)
DXf = sl.inner(Df, Xf, axis=self.xstep.cri.axisM)
return sl.irfftn(DXf, self.xstep.cri.Nv, self.xstep.cri.axisN)
def evaluate(self):
"""Evaluate functional value of previous iteration"""
if self.opt['AccurateDFid']:
DX = self.reconstruct()
S = self.xstep.S
dfd = (np.linalg.norm(self.xstep.W * (DX - S))**2) / 2.0
X = self.getcoef()
rl1 = np.sum(np.abs(X))
return dict(DFid=dfd, RegL1=rl1, ObjFun=dfd+self.xstep.lmbda*rl1)
else:
return None
| 37
| 79
| 0.552746
| 3,352
| 28,675
| 4.629177
| 0.112172
| 0.0203
| 0.020107
| 0.00696
| 0.861765
| 0.848747
| 0.830508
| 0.810853
| 0.791648
| 0.777341
| 0
| 0.009998
| 0.312851
| 28,675
| 774
| 80
| 37.047804
| 0.777507
| 0.395885
| 0
| 0.745098
| 0
| 0
| 0.156658
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045752
| false
| 0
| 0.042484
| 0
| 0.143791
| 0.009804
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
221bd3775a6f5fad865b79332ed6cf2163ce8d24
| 73,575
|
py
|
Python
|
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_to_dict_v3.py
|
jalauzon-msft/azure-sdk-for-python
|
15967f5c6d3376f2334a382486ba86339786e028
|
[
"MIT"
] | 1
|
2022-02-01T18:50:12.000Z
|
2022-02-01T18:50:12.000Z
|
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_to_dict_v3.py
|
ellhe-blaster/azure-sdk-for-python
|
82193ba5e81cc5e5e5a5239bba58abe62e86f469
|
[
"MIT"
] | null | null | null |
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_to_dict_v3.py
|
ellhe-blaster/azure-sdk-for-python
|
82193ba5e81cc5e5e5a5239bba58abe62e86f469
|
[
"MIT"
] | null | null | null |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from azure.ai.formrecognizer import _models
from testcase import FormRecognizerTest
class TestToDict(FormRecognizerTest):
def test_bounding_region_to_dict(self):
model = _models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)], page_number=1
)
# d = [p.to_dict() for p in model]
d = model.to_dict()
final = {
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
}
assert d == final
def test_document_span_to_dict(self):
model = _models.DocumentSpan(
offset=5,
length=2,
)
d = model.to_dict()
final = {
"offset": 5,
"length": 2,
}
assert d == final
def test_address_value_to_dict(self):
model = _models.AddressValue(
house_number="123",
po_box="4567",
road="Contoso Ave",
city="Redmond",
state="WA",
postal_code="98052",
country_region="USA",
street_address="123 Contoso Ave",
)
d = model.to_dict()
final = {
"house_number": "123",
"po_box": "4567",
"road": "Contoso Ave",
"city": "Redmond",
"state": "WA",
"postal_code": "98052",
"country_region": "USA",
"street_address": "123 Contoso Ave",
}
assert d == final
def test_currency_value_to_dict(self):
model = _models.CurrencyValue(
amount=5.01,
symbol="$",
)
d = model.to_dict()
final = {
"amount": 5.01,
"symbol": "$",
}
assert d == final
def test_document_content_element_to_dict(self):
model = _models.DocumentContentElement(
content="sample",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(
offset=5,
length=2,
),
kind="word",
confidence=0.99,
)
d = model.to_dict()
final = {
"content": "sample",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"confidence": 0.99,
"kind": "word",
}
assert d == final
def test_analyzed_document_to_dict(self):
model = _models.AnalyzedDocument(
doc_type="test:doc",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
fields={
"sample": _models.DocumentField(
value_type="number",
value=0.1,
content="0.1",
bounding_regions=[
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
confidence=0.99,
),
},
confidence=0.99,
)
d = model.to_dict()
final = {
"doc_type": "test:doc",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
"fields": {
"sample": {
"value_type": "number",
"value": 0.1,
"content": "0.1",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
"confidence": 0.99,
},
},
"confidence": 0.99,
}
assert d == final
def test_document_field_to_dict(self):
model = _models.DocumentField(
value_type="number",
value=0.1,
content="0.1",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
confidence=0.99,
)
d = model.to_dict()
final = {
"value_type": "number",
"value": 0.1,
"content": "0.1",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
"confidence": 0.99,
}
assert d == final
def test_document_key_value_element_to_dict(self):
model = _models.DocumentKeyValueElement(
content="content",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
)
d = model.to_dict()
final = {
"content": "content",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
}
assert d == final
def test_document_key_value_pair_to_dict(self):
model = _models.DocumentKeyValuePair(
key=_models.DocumentKeyValueElement(
content="key",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
value=_models.DocumentKeyValueElement(
content="value",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
confidence=0.89,
)
d = model.to_dict()
final = {
"key": {
"content": "key",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
"value": {
"content": "value",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
"confidence": 0.89,
}
assert d == final
def test_document_line_to_dict(self):
model = _models.DocumentLine(
content="sample line",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
)
d = model.to_dict()
final = {
"content": "sample line",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
}
assert d == final
def test_document_page_to_dict(self):
model = _models.DocumentPage(
kind="document",
page_number=1,
angle=180.0,
width=8.5,
height=11.0,
unit="inch",
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
words=[
_models.DocumentWord(
content="example",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(
offset=5,
length=2,
),
confidence=0.62,
),
],
selection_marks=[
_models.DocumentSelectionMark(
state="unselected",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(
offset=5,
length=2,
),
confidence=1.0,
),
],
lines=[
_models.DocumentLine(
content="sample line",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
],
)
d = model.to_dict()
final = {
"kind": "document",
"page_number": 1,
"angle": 180.0,
"width": 8.5,
"height": 11.0,
"unit": "inch",
"spans": [
{
"offset": 5,
"length": 2,
},
],
"words": [
{
"content": "example",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"confidence": 0.62,
"kind": "word",
},
],
"selection_marks": [
{
"content": None,
"state": "unselected",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"kind": "selectionMark",
"confidence": 1.0,
},
],
"lines": [
{
"content": "sample line",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
],
}
assert d == final
def test_document_selection_mark_to_dict(self):
model = _models.DocumentSelectionMark(
state="unselected",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(
offset=5,
length=2,
),
confidence=1.0,
)
d = model.to_dict()
final = {
"content": None,
"state": "unselected",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"kind": "selectionMark",
"confidence": 1.0,
}
assert d == final
def test_document_style_to_dict(self):
model = _models.DocumentStyle(
is_handwritten=True,
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
confidence=1.0,
)
d = model.to_dict()
final = {
"is_handwritten": True,
"spans": [
{
"offset": 5,
"length": 2,
}
],
"confidence": 1.0,
}
assert d == final
def test_document_table_to_dict(self):
model = _models.DocumentTable(
row_count=3,
column_count=2,
cells=[
_models.DocumentTableCell(
kind="content",
row_index=2,
column_index=3,
row_span=1,
column_span=1,
content="cell content",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
],
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
)
d = model.to_dict()
final = {
"row_count": 3,
"column_count": 2,
"cells": [
{
"kind": "content",
"row_index": 2,
"column_index": 3,
"row_span": 1,
"column_span": 1,
"content": "cell content",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
],
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
}
assert d == final
def test_document_table_cell_to_dict(self):
model = _models.DocumentTableCell(
kind="content",
row_index=2,
column_index=3,
row_span=1,
column_span=1,
content="cell content",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
)
d = model.to_dict()
final = {
"kind": "content",
"row_index": 2,
"column_index": 3,
"row_span": 1,
"column_span": 1,
"content": "cell content",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
}
assert d == final
def test_document_table_cell_to_dict_use_defaults(self):
# NOTE: kind, column_span, and row_span are not included on purpose to test that the proper defaults are set.
model = _models.DocumentTableCell(
row_index=2,
column_index=3,
content="cell content",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
)
d = model.to_dict()
final = {
"kind": "content",
"row_index": 2,
"column_index": 3,
"row_span": 1,
"column_span": 1,
"content": "cell content",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
}
assert d == final
def test_model_operation_info_to_dict(self):
model = _models.ModelOperationInfo(
operation_id="id123",
status="succeeded",
percent_completed=100,
created_on="1994-11-05T13:15:30Z",
last_updated_on="1994-11-05T13:20:30Z",
kind="documentModelBuild",
resource_location="https://contoso.com/resource",
api_version="2022-06-30-preview",
tags={"test": "value"},
)
d = model.to_dict()
final = {
"operation_id": "id123",
"status": "succeeded",
"percent_completed": 100,
"created_on": "1994-11-05T13:15:30Z", # TODO should this field be switched to a datetime?
"last_updated_on": "1994-11-05T13:20:30Z",
"kind": "documentModelBuild",
"resource_location": "https://contoso.com/resource",
"api_version": "2022-06-30-preview",
"tags": {"test": "value"},
}
assert d == final
def test_document_word_to_dict(self):
model = _models.DocumentWord(
content="example",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(
offset=5,
length=2,
),
confidence=0.62,
)
d = model.to_dict()
final = {
"content": "example",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"confidence": 0.62,
"kind": "word",
}
assert d == final
def test_analyze_result_to_dict(self):
model = _models.AnalyzeResult(
api_version="2021-07-30-preview",
model_id="modelId1",
content="Sample\nFile content.",
languages=[
_models.DocumentLanguage(
locale="en",
spans=[
_models.DocumentSpan(offset=5, length=2),
],
confidence=0.99,
),
],
paragraphs=[
_models.DocumentParagraph(
role="pageNumber",
content="a paragraph",
bounding_regions=[
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
],
spans=[
_models.DocumentSpan(offset=5, length=2),
],
)
],
pages=[
_models.DocumentPage(
kind="document",
page_number=1,
angle=180.0,
width=8.5,
height=11.0,
unit="inch",
spans=[
_models.DocumentSpan(offset=5, length=2),
],
words=[
_models.DocumentWord(
content="example",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(offset=5, length=2),
confidence=0.62,
),
],
selection_marks=[
_models.DocumentSelectionMark(
state="unselected",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
span=_models.DocumentSpan(offset=5, length=2),
confidence=1.0,
),
],
lines=[
_models.DocumentLine(
content="sample line",
polygon=[
_models.Point(1427.0, 1669.0),
_models.Point(1527.0, 1669.0),
_models.Point(1527.0, 1698.0),
_models.Point(1427.0, 1698.0),
],
spans=[_models.DocumentSpan(offset=5, length=2)],
),
],
),
],
tables=[
_models.DocumentTable(
row_count=3,
column_count=2,
cells=[
_models.DocumentTableCell(
kind="content",
row_index=2,
column_index=3,
row_span=1,
column_span=1,
content="cell content",
bounding_regions=[
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
],
spans=[_models.DocumentSpan(offset=5, length=2)],
),
],
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[_models.DocumentSpan(offset=5, length=2)],
),
],
key_value_pairs=[
_models.DocumentKeyValuePair(
key=_models.DocumentKeyValueElement(
content="key",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
value=_models.DocumentKeyValueElement(
content="value",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
),
confidence=0.89,
),
],
styles=[
_models.DocumentStyle(
is_handwritten=True,
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
],
confidence=1.0,
),
],
documents=[
_models.AnalyzedDocument(
doc_type="test:doc",
bounding_regions=[
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
_models.BoundingRegion(
polygon=[_models.Point(1, 2), _models.Point(3, 4)],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
fields={
"sample": _models.DocumentField(
value_type="number",
value=0.1,
content="0.1",
bounding_regions=[
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
_models.BoundingRegion(
polygon=[
_models.Point(1, 2),
_models.Point(3, 4),
],
page_number=1,
),
],
spans=[
_models.DocumentSpan(
offset=5,
length=2,
),
_models.DocumentSpan(
offset=5,
length=2,
),
],
confidence=0.99,
),
},
confidence=0.99,
),
],
)
d = model.to_dict()
final = {
"api_version": "2021-07-30-preview",
"model_id": "modelId1",
"content": "Sample\nFile content.",
"languages": [
{
"locale": "en",
"spans": [
{
"offset": 5,
"length": 2,
},
],
"confidence": 0.99,
}
],
"pages": [
{
"kind": "document",
"page_number": 1,
"angle": 180.0,
"width": 8.5,
"height": 11.0,
"unit": "inch",
"spans": [
{
"offset": 5,
"length": 2,
},
],
"words": [
{
"content": "example",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"confidence": 0.62,
"kind": "word",
},
],
"selection_marks": [
{
"content": None,
"state": "unselected",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"span": {
"offset": 5,
"length": 2,
},
"kind": "selectionMark",
"confidence": 1.0,
},
],
"lines": [
{
"content": "sample line",
"polygon": [
{"x": 1427.0, "y": 1669.0},
{"x": 1527.0, "y": 1669.0},
{"x": 1527.0, "y": 1698.0},
{"x": 1427.0, "y": 1698.0},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
],
},
],
"paragraphs": [
{
"role": "pageNumber",
"content": "a paragraph",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
}
],
"tables": [
{
"row_count": 3,
"column_count": 2,
"cells": [
{
"kind": "content",
"row_index": 2,
"column_index": 3,
"row_span": 1,
"column_span": 1,
"content": "cell content",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
],
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
],
"key_value_pairs": [
{
"key": {
"content": "key",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
"value": {
"content": "value",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
],
},
"confidence": 0.89,
},
],
"styles": [
{
"is_handwritten": True,
"spans": [
{
"offset": 5,
"length": 2,
}
],
"confidence": 1.0,
},
],
"documents": [
{
"doc_type": "test:doc",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
"fields": {
"sample": {
"value_type": "number",
"value": 0.1,
"content": "0.1",
"bounding_regions": [
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
{
"page_number": 1,
"polygon": [
{"x": 1, "y": 2},
{
"x": 3,
"y": 4,
},
],
},
],
"spans": [
{
"offset": 5,
"length": 2,
},
{
"offset": 5,
"length": 2,
},
],
"confidence": 0.99,
},
},
"confidence": 0.99,
},
],
}
assert d == final
def test_model_operation_to_dict(self):
model = _models.ModelOperation(
api_version="2022-06-30-preview",
tags={},
operation_id="id123",
status="succeeded",
percent_completed=100,
created_on="1994-11-05T13:15:30Z",
last_updated_on="1994-11-05T13:20:30Z",
kind="documentModelBuild",
resource_location="https://contoso.com/resource",
result=_models.DocumentModel(
api_version="2022-06-30-preview",
tags={},
description="my description",
created_on="1994-11-05T13:15:30Z",
model_id="prebuilt-invoice",
doc_types={
"prebuilt-invoice": _models.DocTypeInfo(
build_mode="template",
description="my description",
field_confidence={"CustomerName": 95},
field_schema={
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
)
},
),
error=_models.DocumentAnalysisError(
code="ResourceNotFound",
message="Resource was not found",
target="resource",
details=[
_models.DocumentAnalysisError(
code="ResourceNotFound", message="Resource was not found"
)
],
innererror=_models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
innererror=_models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
),
),
),
)
d = model.to_dict()
final = {
"api_version": "2022-06-30-preview",
"tags": {},
"operation_id": "id123",
"status": "succeeded",
"percent_completed": 100,
"created_on": "1994-11-05T13:15:30Z",
"last_updated_on": "1994-11-05T13:20:30Z",
"kind": "documentModelBuild",
"resource_location": "https://contoso.com/resource",
"result": {
"api_version": "2022-06-30-preview",
"tags": {},
"description": "my description",
"created_on": "1994-11-05T13:15:30Z",
"model_id": "prebuilt-invoice",
"doc_types": {
"prebuilt-invoice": {
"build_mode": "template",
"description": "my description",
"field_confidence": {"CustomerName": 95},
"field_schema": {
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
}
},
},
"error": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"target": "resource",
"details": [
{
"code": "ResourceNotFound",
"message": "Resource was not found",
"target": None,
"details": [],
"innererror": None,
}
],
"innererror": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": None,
},
},
},
}
assert d == final
def test_doc_type_info_to_dict(self):
model = _models.DocTypeInfo(
description="my description",
build_mode="neural",
field_confidence={"CustomerName": 95},
field_schema={
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
)
d = model.to_dict()
final = {
"description": "my description",
"build_mode": "neural",
"field_confidence": {"CustomerName": 95},
"field_schema": {
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
}
assert d == final
def test_document_model_to_dict(self):
model = _models.DocumentModel(
description="my description",
created_on="1994-11-05T13:15:30Z",
model_id="prebuilt-invoice",
api_version="2022-06-30-preview",
tags={"test": "value"},
doc_types={
"prebuilt-invoice": _models.DocTypeInfo(
build_mode="template",
description="my description",
field_confidence={"CustomerName": 95},
field_schema={
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
),
},
)
d = model.to_dict()
final = {
"description": "my description",
"created_on": "1994-11-05T13:15:30Z",
"model_id": "prebuilt-invoice",
"api_version": "2022-06-30-preview",
"tags": {"test": "value"},
"doc_types": {
"prebuilt-invoice": {
"build_mode": "template",
"description": "my description",
"field_confidence": {"CustomerName": 95},
"field_schema": {
"prebuilt-invoice": {
"CustomerName": {"type": "string"},
"CustomerId": {"type": "string"},
"PurchaseOrder": {"type": "string"},
"InvoiceId": {"type": "string"},
"InvoiceDate": {"type": "date"},
"DueDate": {"type": "date"},
"VendorName": {"type": "string"},
"VendorAddress": {"type": "string"},
"VendorAddressRecipient": {"type": "string"},
"CustomerAddress": {"type": "string"},
"CustomerAddressRecipient": {"type": "string"},
"BillingAddress": {"type": "string"},
"BillingAddressRecipient": {"type": "string"},
"ShippingAddress": {"type": "string"},
"ShippingAddressRecipient": {"type": "string"},
"SubTotal": {"type": "number"},
"TotalTax": {"type": "number"},
"InvoiceTotal": {"type": "number"},
"AmountDue": {"type": "number"},
"PreviousUnpaidBalance": {"type": "number"},
"RemittanceAddress": {"type": "string"},
"RemittanceAddressRecipient": {"type": "string"},
"ServiceAddress": {"type": "string"},
"ServiceAddressRecipient": {"type": "string"},
"ServiceStartDate": {"type": "date"},
"ServiceEndDate": {"type": "date"},
"Items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"Amount": {"type": "number"},
"Date": {"type": "date"},
"Description": {"type": "string"},
"Quantity": {"type": "number"},
"ProductCode": {"type": "string"},
"Tax": {"type": "number"},
"Unit": {"type": "string"},
"UnitPrice": {"type": "number"},
},
},
},
}
},
},
},
}
assert d == final
def test_document_model_info_to_dict(self):
model = _models.DocumentModelInfo(
description="my description",
created_on="1994-11-05T13:15:30Z",
model_id="prebuilt-invoice",
api_version="2022-06-30-preview",
tags={"test": "value"},
)
d = model.to_dict()
final = {
"description": "my description",
"created_on": "1994-11-05T13:15:30Z",
"model_id": "prebuilt-invoice",
"api_version": "2022-06-30-preview",
"tags": {"test": "value"},
}
assert d == final
def test_account_info_to_dict(self):
model = _models.AccountInfo(document_model_limit=5000, document_model_count=10)
d = model.to_dict()
final = {"document_model_limit": 5000, "document_model_count": 10}
assert d == final
def test_document_analysis_inner_error_to_dict(self):
model = _models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
innererror=_models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
),
)
d = model.to_dict()
final = {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": None,
},
}
assert d == final
def test_document_analysis_error_to_dict(self):
model = _models.DocumentAnalysisError(
code="ResourceNotFound",
message="Resource was not found",
target="resource",
details=[
_models.DocumentAnalysisError(
code="ResourceNotFound", message="Resource was not found"
)
],
innererror=_models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
innererror=_models.DocumentAnalysisInnerError(
code="ResourceNotFound",
message="Resource was not found",
),
),
)
d = model.to_dict()
final = {
"code": "ResourceNotFound",
"message": "Resource was not found",
"target": "resource",
"details": [
{
"code": "ResourceNotFound",
"message": "Resource was not found",
"target": None,
"details": [],
"innererror": None,
}
],
"innererror": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": {
"code": "ResourceNotFound",
"message": "Resource was not found",
"innererror": None,
},
},
}
assert d == final
| 36.261705
| 117
| 0.291227
| 4,145
| 73,575
| 5.026297
| 0.069481
| 0.057598
| 0.04867
| 0.052414
| 0.957281
| 0.940146
| 0.922146
| 0.909427
| 0.900931
| 0.892675
| 0
| 0.058804
| 0.591125
| 73,575
| 2,028
| 118
| 36.279586
| 0.633747
| 0.00685
| 0
| 0.780943
| 0
| 0
| 0.153242
| 0.013386
| 0
| 0
| 0
| 0.000493
| 0.013465
| 1
| 0.013465
| false
| 0
| 0.001036
| 0
| 0.015018
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2230c6a21b9b07be2fdf4f681b8005423bbb5b68
| 136
|
py
|
Python
|
src/aws_connections/__main__.py
|
jameskabbes/aws_connections
|
f5731ba95d41379883b63aab8ae907cf616a244a
|
[
"MIT"
] | null | null | null |
src/aws_connections/__main__.py
|
jameskabbes/aws_connections
|
f5731ba95d41379883b63aab8ae907cf616a244a
|
[
"MIT"
] | null | null | null |
src/aws_connections/__main__.py
|
jameskabbes/aws_connections
|
f5731ba95d41379883b63aab8ae907cf616a244a
|
[
"MIT"
] | null | null | null |
import aws_connections
aws_connections._Dir.print_atts()
import aws_connections.s3 as s3f
print ( s3f.add_s3n_to_key( 'TEST_S3_KEY' ) )
| 27.2
| 45
| 0.816176
| 23
| 136
| 4.391304
| 0.608696
| 0.415842
| 0.39604
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04065
| 0.095588
| 136
| 5
| 45
| 27.2
| 0.780488
| 0
| 0
| 0
| 0
| 0
| 0.080292
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 7
|
3f0e310ee3a251e39ad1313d595dca71fdbee6e4
| 3,285
|
py
|
Python
|
src/test/test_Plant_FinanceSE.py
|
nickjohnson13/Plant_FinanceSE
|
36820ea8cbf38c19ac4a907c9b6b143a175fb0a3
|
[
"Apache-2.0"
] | 1
|
2020-03-06T13:45:31.000Z
|
2020-03-06T13:45:31.000Z
|
test/plant_financese/test_Plant_FinanceSE.py
|
RFeil/WISDEM
|
f58ec725a4a7f959b6a97222d5e709e67d68379a
|
[
"Apache-2.0"
] | 17
|
2019-09-13T22:21:15.000Z
|
2019-10-25T20:04:26.000Z
|
test/plant_financese/test_Plant_FinanceSE.py
|
akey7/WISDEM
|
29c5abbdfdc8800cfd18237e8e0edf0d10c7e02c
|
[
"Apache-2.0"
] | 2
|
2015-10-30T06:02:21.000Z
|
2019-07-30T21:25:23.000Z
|
"""
test_Plant_FinanceSE_gradients.py
Created by Katherine Dykes on 2014-01-07.
Copyright (c) NREL. All rights reserved.
"""
import unittest
import numpy as np
from commonse.utilities import check_gradient_unit_test
from plant_financese.basic_finance.basic_finance import fin_cst_component, fin_cst_assembly
from plant_financese.nrel_csm_fin.nrel_csm_fin import fin_csm_component, fin_csm_assembly
# Basic Finance Tests
class Test_fin_cst_assembly(unittest.TestCase):
def setUp(self):
self.fin = fin_cst_assembly()
self.fin.turbine_cost = 6087803.555 / 50
self.fin.turbine_number = 50
preventative_maintenance_cost = 401819.023
land_lease_cost = 22225.395
corrective_maintenance_cost = 91048.387
self.fin.avg_annual_opex = preventative_maintenance_cost + corrective_maintenance_cost + land_lease_cost
self.fin.bos_costs = 7668775.3
self.fin.net_aep = 15756299.843
def test_functionality(self):
self.fin.run()
self.assertEqual(round(self.fin.coe,4), 0.1307)
class Test_fin_cst_component(unittest.TestCase):
def setUp(self):
self.fin = fin_cst_component()
self.fin.turbine_cost = 6087803.555 / 50
self.fin.turbine_number = 50
preventative_maintenance_cost = 401819.023
land_lease_cost = 22225.395
corrective_maintenance_cost = 91048.387
self.fin.avg_annual_opex = preventative_maintenance_cost + corrective_maintenance_cost + land_lease_cost
self.fin.bos_costs = 7668775.3
self.fin.net_aep = 15756299.843
def test_functionality(self):
self.fin.run()
self.assertEqual(round(self.fin.coe,4), 0.1307)
def test_gradient(self):
check_gradient_unit_test(self, self.fin)
# NREL CSM Finance Tests
class Test_fin_csm_assembly(unittest.TestCase):
def setUp(self):
self.fin = fin_csm_assembly()
self.fin.turbine_cost = 6087803.555 / 50
self.fin.turbine_number = 50
preventative_opex = 401819.023
lease_opex = 22225.395
corrective_opex = 91048.387
self.fin.avg_annual_opex = preventative_opex + corrective_opex + lease_opex
self.fin.bos_costs = 7668775.3
self.fin.net_aep = 15756299.843
def test_functionality(self):
self.fin.run()
self.assertEqual(round(self.fin.coe,4), 0.1307)
self.assertEqual(round(self.fin.lcoe,4), 0.1231)
class Test_fin_csm_component(unittest.TestCase):
def setUp(self):
self.fin = fin_csm_component()
self.fin.turbine_cost = 6087803.555 / 50
self.fin.turbine_number = 50
preventative_opex = 401819.023
lease_opex = 22225.395
corrective_opex = 91048.387
self.fin.avg_annual_opex = preventative_opex + corrective_opex + lease_opex
self.fin.bos_costs = 7668775.3
self.fin.net_aep = 15756299.843
def test_functionality(self):
self.fin.run()
self.assertEqual(round(self.fin.coe,4), 0.1307)
self.assertEqual(round(self.fin.lcoe,4), 0.1231)
def test_gradient(self):
check_gradient_unit_test(self, self.fin)
if __name__ == "__main__":
unittest.main()
| 28.318966
| 112
| 0.681887
| 439
| 3,285
| 4.824601
| 0.191344
| 0.11898
| 0.051936
| 0.067989
| 0.815864
| 0.793201
| 0.793201
| 0.793201
| 0.793201
| 0.699717
| 0
| 0.109307
| 0.231355
| 3,285
| 115
| 113
| 28.565217
| 0.729505
| 0.049011
| 0
| 0.782609
| 0
| 0
| 0.002568
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 1
| 0.144928
| false
| 0
| 0.072464
| 0
| 0.275362
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3f297772786da41daa7a34cfde1e3c639907f565
| 19,470
|
py
|
Python
|
build/PureCloudPlatformClientV2/apis/audit_api.py
|
cjohnson-ctl/platform-client-sdk-python
|
38ce53bb8012b66e8a43cc8bd6ff00cf6cc99100
|
[
"MIT"
] | 1
|
2021-10-08T20:46:45.000Z
|
2021-10-08T20:46:45.000Z
|
libs/PureCloudPlatformClientV2/apis/audit_api.py
|
rocketbot-cl/genesysCloud
|
dd9d9b5ebb90a82bab98c0d88b9585c22c91f333
|
[
"MIT"
] | null | null | null |
libs/PureCloudPlatformClientV2/apis/audit_api.py
|
rocketbot-cl/genesysCloud
|
dd9d9b5ebb90a82bab98c0d88b9585c22c91f333
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
AuditApi.py
Copyright 2016 SmartBear Software
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class AuditApi(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
config = Configuration()
if api_client:
self.api_client = api_client
else:
if not config.api_client:
config.api_client = ApiClient()
self.api_client = config.api_client
def get_audits_query_realtime_servicemapping(self, **kwargs):
"""
Get service mapping information used in realtime audits.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_audits_query_realtime_servicemapping(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:return: AuditQueryServiceMapping
If the method is called asynchronously,
returns the request thread.
"""
all_params = []
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_audits_query_realtime_servicemapping" % key
)
params[key] = val
del params['kwargs']
resource_path = '/api/v2/audits/query/realtime/servicemapping'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditQueryServiceMapping',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_audits_query_servicemapping(self, **kwargs):
"""
Get service mapping information used in audits.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_audits_query_servicemapping(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:return: AuditQueryServiceMapping
If the method is called asynchronously,
returns the request thread.
"""
all_params = []
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_audits_query_servicemapping" % key
)
params[key] = val
del params['kwargs']
resource_path = '/api/v2/audits/query/servicemapping'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditQueryServiceMapping',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_audits_query_transaction_id(self, transaction_id, **kwargs):
"""
Get status of audit query execution
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_audits_query_transaction_id(transaction_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str transaction_id: Transaction ID (required)
:return: AuditQueryExecutionStatusResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['transaction_id']
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_audits_query_transaction_id" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'transaction_id' is set
if ('transaction_id' not in params) or (params['transaction_id'] is None):
raise ValueError("Missing the required parameter `transaction_id` when calling `get_audits_query_transaction_id`")
resource_path = '/api/v2/audits/query/{transactionId}'.replace('{format}', 'json')
path_params = {}
if 'transaction_id' in params:
path_params['transactionId'] = params['transaction_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditQueryExecutionStatusResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_audits_query_transaction_id_results(self, transaction_id, **kwargs):
"""
Get results of audit query
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_audits_query_transaction_id_results(transaction_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str transaction_id: Transaction ID (required)
:param str cursor: Indicates where to resume query results (not required for first page)
:param int page_size: Page size
:param list[str] expand: Which fields, if any, to expand
:return: AuditQueryExecutionResultsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['transaction_id', 'cursor', 'page_size', 'expand']
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_audits_query_transaction_id_results" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'transaction_id' is set
if ('transaction_id' not in params) or (params['transaction_id'] is None):
raise ValueError("Missing the required parameter `transaction_id` when calling `get_audits_query_transaction_id_results`")
resource_path = '/api/v2/audits/query/{transactionId}/results'.replace('{format}', 'json')
path_params = {}
if 'transaction_id' in params:
path_params['transactionId'] = params['transaction_id']
query_params = {}
if 'cursor' in params:
query_params['cursor'] = params['cursor']
if 'page_size' in params:
query_params['pageSize'] = params['page_size']
if 'expand' in params:
query_params['expand'] = params['expand']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditQueryExecutionResultsResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def post_audits_query(self, body, **kwargs):
"""
Create audit query execution
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.post_audits_query(body, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param AuditQueryRequest body: query (required)
:return: AuditQueryExecutionStatusResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body']
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method post_audits_query" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params) or (params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `post_audits_query`")
resource_path = '/api/v2/audits/query'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditQueryExecutionStatusResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def post_audits_query_realtime(self, body, **kwargs):
"""
This endpoint will only retrieve 7 days worth of audits for certain services. Please use /query to get a full list and older audits.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.post_audits_query_realtime(body, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param AuditRealtimeQueryRequest body: query (required)
:param list[str] expand: Which fields, if any, to expand
:return: AuditRealtimeQueryResultsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'expand']
all_params.append('callback')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method post_audits_query_realtime" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params) or (params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `post_audits_query_realtime`")
resource_path = '/api/v2/audits/query/realtime'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'expand' in params:
query_params['expand'] = params['expand']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['PureCloud OAuth']
response = self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AuditRealtimeQueryResultsResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
| 37.732558
| 140
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0
| 7
|
3f3a7fc9265d182008d4ecd0f9d37974496ca6d6
| 25,223
|
py
|
Python
|
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_idrac_user.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_idrac_user.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/dellemc/openmanage/tests/unit/plugins/modules/test_idrac_user.py
|
Stienvdh/statrick
|
7b092fc42171e226718a70a285a4b323f2f395ad
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
#
# Dell EMC OpenManage Ansible Modules
# Version 2.1.2
# Copyright (C) 2020 Dell Inc. or its subsidiaries. All Rights Reserved.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import pytest
import json
from ansible_collections.dellemc.openmanage.plugins.modules import idrac_user
from ansible.module_utils.six.moves.urllib.error import HTTPError, URLError
from ansible.module_utils.urls import ConnectionError, SSLValidationError
from ansible_collections.dellemc.openmanage.tests.unit.plugins.modules.common import FakeAnsibleModule, Constants
from ansible_collections.dellemc.openmanage.tests.unit.compat.mock import MagicMock, patch, Mock
from ansible.module_utils._text import to_text
from io import StringIO
MODULE_PATH = 'ansible_collections.dellemc.openmanage.plugins.modules.'
class TestIDRACUser(FakeAnsibleModule):
module = idrac_user
@pytest.fixture
def idrac_user_mock(self):
idrac_obj = MagicMock()
return idrac_obj
@pytest.fixture
def idrac_connection_user_mock(self, mocker, idrac_user_mock):
idrac_conn_mock = mocker.patch(MODULE_PATH + 'idrac_user.iDRACRedfishAPI',
return_value=idrac_user_mock)
idrac_conn_mock.return_value.__enter__.return_value = idrac_user_mock
return idrac_conn_mock
def test_get_payload(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args)
resp = self.module.get_payload(f_module, 1, action="update")
assert resp["Users.1.UserName"] == idrac_default_args["new_user_name"]
def test_convert_payload_xml(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
payload = {"Users.1.UserName": idrac_default_args["user_name"],
"Users.1.Password": idrac_default_args["user_password"],
"Users.1.Enable": idrac_default_args["enable"],
"Users.1.Privilege": idrac_default_args["privilege"],
"Users.1.IpmiLanPrivilege": idrac_default_args["ipmi_lan_privilege"],
"Users.1.IpmiSerialPrivilege": idrac_default_args["ipmi_serial_privilege"],
"Users.1.SolEnable": idrac_default_args["sol_enable"],
"Users.1.ProtocolEnable": idrac_default_args["protocol_enable"],
"Users.1.AuthenticationProtocol": idrac_default_args["authentication_protocol"],
"Users.1.PrivacyProtocol": idrac_default_args["privacy_protocol"]}
xml_payload, json_payload = self.module.convert_payload_xml(payload)
assert json_payload["Users.1#SolEnable"] is True
def test_remove_user_account_check_mode_1(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "absent", "user_name": "user_name", "new_user_name": None,
"user_password": None, "privilege": None, "ipmi_lan_privilege": None,
"ipmi_serial_privilege": None, "enable": False, "sol_enable": False,
"protocol_enable": False, "authentication_protocol": "SHA",
"privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=True)
slot_id = 1
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
with pytest.raises(Exception) as exc:
self.module.remove_user_account(f_module, idrac_connection_user_mock, slot_uri, slot_id)
assert exc.value.args[0] == "Changes found to commit!"
def test_remove_user_account_check_mode_2(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "absent", "user_name": "user_name", "new_user_name": None,
"user_password": None, "privilege": None, "ipmi_lan_privilege": None,
"ipmi_serial_privilege": None, "enable": False, "sol_enable": False,
"protocol_enable": False, "authentication_protocol": "SHA",
"privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=True)
with pytest.raises(Exception) as exc:
self.module.remove_user_account(f_module, idrac_connection_user_mock, None, None)
assert exc.value.args[0] == "No changes found to commit!"
def test_remove_user_account_check_mode_3(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "absent", "user_name": "user_name", "new_user_name": None,
"user_password": None, "privilege": None, "ipmi_lan_privilege": None,
"ipmi_serial_privilege": None, "enable": False, "sol_enable": False,
"protocol_enable": False, "authentication_protocol": "SHA",
"privacy_protocol": "AES"})
idrac_connection_user_mock.remove_user_account.return_value = {"success": True}
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
slot_id = 1
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
self.module.remove_user_account(f_module, idrac_connection_user_mock, slot_uri, slot_id)
def test_remove_user_account_check_mode_4(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "absent", "user_name": "user_name", "new_user_name": None,
"user_password": None, "privilege": None, "ipmi_lan_privilege": None,
"ipmi_serial_privilege": None, "enable": False, "sol_enable": False,
"protocol_enable": False, "authentication_protocol": "SHA",
"privacy_protocol": "AES"})
idrac_connection_user_mock.remove_user_account.return_value = {"success": True}
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
with pytest.raises(Exception) as exc:
self.module.remove_user_account(f_module, idrac_connection_user_mock, None, None)
assert exc.value.args[0] == 'The user account is absent.'
def test_get_user_account_1(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.export_scp",
return_value=MagicMock())
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.get_idrac_local_account_attr",
return_value={"Users.2#UserName": "test_user", "Users.3#UserName": ""})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
response = self.module.get_user_account(f_module, idrac_connection_user_mock)
assert response[0]["Users.2#UserName"] == "test_user"
assert response[3] == 3
def test_get_user_account_2(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.export_scp",
return_value=MagicMock())
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.get_idrac_local_account_attr",
return_value={"Users.2#UserName": "test_user", "Users.3#UserName": ""})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
response = self.module.get_user_account(f_module, idrac_connection_user_mock)
assert response[3] == 3
assert response[4] == "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/3"
def test_create_or_modify_account_1(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
idrac_connection_user_mock.get_server_generation = (13, "2.70.70.70")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.import_scp",
return_value={"Message": "Successfully created a request."})
empty_slot_id = 2
empty_slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(empty_slot_id)
user_attr = {"User.2#UserName": "test_user"}
response = self.module.create_or_modify_account(f_module, idrac_connection_user_mock, None, None,
empty_slot_id, empty_slot_uri, user_attr)
assert response[1] == "Successfully created user account."
def test_create_or_modify_account_2(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
idrac_connection_user_mock.get_server_generation = (13, "2.70.70.70")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.import_scp",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"User.2#UserName": "test_user"}
response = self.module.create_or_modify_account(f_module, idrac_connection_user_mock, slot_uri, slot_id,
None, None, user_attr)
assert response[1] == "Successfully updated user account."
def test_create_or_modify_account_3(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
idrac_connection_user_mock.get_server_generation = (13, "2.70.70.70")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.import_scp",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"Users.1#UserName": "test_user"}
with pytest.raises(Exception) as exc:
self.module.create_or_modify_account(f_module, idrac_connection_user_mock, slot_uri, slot_id,
None, None, user_attr)
assert exc.value.args[0] == "Requested changes are already present in the user slot."
def test_create_or_modify_account_4(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=True)
idrac_connection_user_mock.get_server_generation = (13, "2.70.70.70")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.import_scp",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"Users.1#UserName": "test_user"}
with pytest.raises(Exception) as exc:
self.module.create_or_modify_account(f_module, idrac_connection_user_mock, slot_uri, slot_id,
None, None, user_attr)
assert exc.value.args[0] == "No changes found to commit!"
def test_create_or_modify_account_5(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=True)
idrac_connection_user_mock.get_server_generation = (13, "2.70.70.70")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.2#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.import_scp",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"Users.1#UserName": "test_user"}
with pytest.raises(Exception) as exc:
self.module.create_or_modify_account(f_module, idrac_connection_user_mock, slot_uri, slot_id,
None, None, user_attr)
assert exc.value.args[0] == "Changes found to commit!"
def test_create_or_modify_account_6(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
idrac_connection_user_mock.get_server_generation = (14, "3.60.60.60")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.invoke_request",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"User.2#UserName": "test_user"}
response = self.module.create_or_modify_account(f_module, idrac_connection_user_mock, None, None,
slot_id, slot_uri, user_attr)
assert response[1] == "Successfully created user account."
def test_create_or_modify_account_7(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=True)
idrac_connection_user_mock.get_server_generation = (14, "3.60.60.60")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.invoke_request",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"User.2#UserName": "test_user"}
with pytest.raises(Exception) as exc:
self.module.create_or_modify_account(f_module, idrac_connection_user_mock, None, None,
slot_id, slot_uri, user_attr)
assert exc.value.args[0] == "Changes found to commit!"
def test_create_or_modify_account_8(self, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
f_module = self.get_module_mock(params=idrac_default_args, check_mode=False)
idrac_connection_user_mock.get_server_generation = (14, "3.60.60.60")
mocker.patch(MODULE_PATH + "idrac_user.get_payload", return_value={"Users.2#UserName": "test_user"})
mocker.patch(MODULE_PATH + "idrac_user.convert_payload_xml",
return_value=("<xml-data>", {"Users.1#UserName": "test_user"}))
mocker.patch(MODULE_PATH + "idrac_user.iDRACRedfishAPI.invoke_request",
return_value={"Message": "Successfully created a request."})
slot_id = 2
slot_uri = "/redfish/v1/Managers/iDRAC.Embedded.1/Accounts/{0}/".format(slot_id)
user_attr = {"User.2#UserName": "test_user"}
response = self.module.create_or_modify_account(f_module, idrac_connection_user_mock, slot_uri, slot_id,
None, None, user_attr)
assert response[1] == "Successfully updated user account."
@pytest.mark.parametrize("exc_type", [SSLValidationError, URLError, ValueError, TypeError,
ConnectionError, HTTPError, ImportError, RuntimeError])
def test_main(self, exc_type, idrac_connection_user_mock, idrac_default_args, mocker):
idrac_default_args.update({"state": "present", "new_user_name": "new_user_name",
"user_name": "test", "user_password": "password",
"privilege": "Administrator", "ipmi_lan_privilege": "Administrator",
"ipmi_serial_privilege": "Administrator", "enable": True,
"sol_enable": True, "protocol_enable": True,
"authentication_protocol": "SHA", "privacy_protocol": "AES"})
json_str = to_text(json.dumps({"data": "out"}))
if exc_type not in [HTTPError, SSLValidationError]:
mocker.patch(MODULE_PATH + "idrac_user.create_or_modify_account",
side_effect=exc_type('test'))
else:
mocker.patch(MODULE_PATH + "idrac_user.create_or_modify_account",
side_effect=exc_type('http://testhost.com', 400, 'http error message',
{"accept-type": "application/json"}, StringIO(json_str)))
if not exc_type == URLError:
result = self._run_module_with_fail_json(idrac_default_args)
assert result['failed'] is True
else:
result = self._run_module(idrac_default_args)
assert 'msg' in result
| 72.479885
| 113
| 0.618325
| 2,795
| 25,223
| 5.218247
| 0.076208
| 0.051011
| 0.068015
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| 0.863284
| 0.857182
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| 0.822557
| 0.820638
| 0.820638
| 0
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| 0.266225
| 25,223
| 347
| 114
| 72.688761
| 0.777069
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| 0
| 0.761147
| 0
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| 0.296293
| 0.101473
| 0
| 0
| 0
| 0
| 0.06051
| 1
| 0.06051
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| 0.057325
| 0.050955
| 0
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| 0.003185
| 0
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| 0
| null | 0
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| 1
| 1
| 1
| 1
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| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
18bc62344ecd9fb9ab81f142546dec33aa688360
| 33
|
py
|
Python
|
sl_cutscenes/__init__.py
|
AIS-Bonn/sl-cutscenes
|
d50128b86a9c808cbe5943e737a4974f0a8d3982
|
[
"MIT"
] | 2
|
2022-03-25T08:24:10.000Z
|
2022-03-29T09:06:47.000Z
|
sl_cutscenes/__init__.py
|
AIS-Bonn/sl-scenes
|
d50128b86a9c808cbe5943e737a4974f0a8d3982
|
[
"MIT"
] | null | null | null |
sl_cutscenes/__init__.py
|
AIS-Bonn/sl-scenes
|
d50128b86a9c808cbe5943e737a4974f0a8d3982
|
[
"MIT"
] | null | null | null |
from .generation import generate
| 16.5
| 32
| 0.848485
| 4
| 33
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 33
| 1
| 33
| 33
| 0.965517
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
e1748f4515bd7ee5156393884a142c16d93b20ce
| 42
|
py
|
Python
|
code/Python/HelloWorld_AK.py
|
souvickroy02/Hello-World
|
a25bea68b2a22e68c3dffb5824e36f3fce33a8d3
|
[
"MIT"
] | 63
|
2019-09-30T16:16:19.000Z
|
2021-06-17T17:23:06.000Z
|
code/Python/HelloWorld_AK.py
|
souvickroy02/Hello-World
|
a25bea68b2a22e68c3dffb5824e36f3fce33a8d3
|
[
"MIT"
] | 242
|
2019-09-30T14:07:06.000Z
|
2020-10-01T13:52:13.000Z
|
code/Python/HelloWorld_AK.py
|
souvickroy02/Hello-World
|
a25bea68b2a22e68c3dffb5824e36f3fce33a8d3
|
[
"MIT"
] | 743
|
2019-09-30T13:58:42.000Z
|
2021-12-29T21:58:28.000Z
|
# print Hello World
print ("Hello World!")
| 21
| 22
| 0.714286
| 6
| 42
| 5
| 0.5
| 0.666667
| 1
| 0
| 0
| 0
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| 0
| 0
| 0.142857
| 42
| 2
| 22
| 21
| 0.833333
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| true
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| 0
| 0
| 0
| 1
|
0
| 7
|
e18ca80195555e5474118723430b71a00eed02a8
| 6,137
|
py
|
Python
|
tests/test_storage_account.py
|
tinvaan/mazure
|
c6798912ef1298514d0220f2d3809338683efec8
|
[
"Apache-2.0"
] | 2
|
2021-06-23T08:59:37.000Z
|
2022-02-02T05:15:12.000Z
|
tests/test_storage_account.py
|
tinvaan/mazure
|
c6798912ef1298514d0220f2d3809338683efec8
|
[
"Apache-2.0"
] | 2
|
2021-06-22T13:12:34.000Z
|
2021-07-03T12:07:15.000Z
|
tests/test_storage_account.py
|
tinvaan/mazure
|
c6798912ef1298514d0220f2d3809338683efec8
|
[
"Apache-2.0"
] | 1
|
2022-02-28T12:36:20.000Z
|
2022-02-28T12:36:20.000Z
|
import uuid
import secrets
import unittest
from azure.identity import ClientSecretCredential
from azure.mgmt.storage import StorageManagementClient
from azure.mgmt.storage.models import (
StorageAccountCreateParameters,
StorageAccountCheckNameAvailabilityParameters
)
from mazure import mazure, Mazure
from mazure.services.storageaccounts.models import StorageAccount
group = 'testrg'
subscription = str(uuid.uuid4())
accounts = [
{
'name': 'first',
'location': 'eastus',
'subscription': subscription,
'resourceGroup': group
},
{
'name': 'second',
'location': 'westus',
'subscription': subscription,
'resourceGroup': group
},
{
'name': 'third',
'location': 'centralindia',
'subscription': subscription,
'resourceGroup': group
}
]
class TestStorageAccountProxy(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.subscription = subscription
cls.creds = ClientSecretCredential(
tenant_id=str(uuid.uuid4()),
client_id=str(uuid.uuid4()),
client_secret=secrets.token_urlsafe())
cls.client = StorageManagementClient(cls.creds, cls.subscription)
def setUp(self):
for account in accounts:
StorageAccount(**account).save()
def test_list_storage_accounts(self):
with Mazure():
sas = self.client.storage_accounts.list()
self.assertEqual(len([sa for sa in sas]), 3)
for sa in sas:
self.assertIsNotNone(sa)
def test_check_storage_account_name(self):
valid = StorageAccountCheckNameAvailabilityParameters(name='foobarsa')
invalid = StorageAccountCheckNameAvailabilityParameters(name='testkit')
with Mazure():
self.assertTrue(self.client.storage_accounts
.check_name_availability(valid).name_available)
self.assertTrue(self.client.storage_accounts
.check_name_availability(invalid).name_available)
def test_create_storage_account(self):
with Mazure():
kws = {
"sku": {"name": "Premium_LRS"},
"kind": "BlockBlobStorage",
"location": "eastus",
}
self.client.storage_accounts.begin_create(
'testrg', 'testaccount', StorageAccountCreateParameters(**kws))
self.assertIsNotNone(
StorageAccount.objects.get(name='testaccount'))
with self.assertRaises(Exception):
self.client.storage_accounts.begin_create(
'testrg', 'testaccount', StorageAccountCreateParameters(**kws))
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='testaccount').count(), 1)
def test_delete_storage_account(self):
with Mazure():
self.client.storage_accounts.delete(
account_name='testaccount', resource_group_name='testrg')
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='testaccount').count(), 0)
# TODO: Should this fail silently?
self.client.storage_accounts.delete(
account_name='nonexistent', resource_group_name='testrg')
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='nonexistent').count(), 0)
def tearDown(self):
StorageAccount.objects.delete()
class TestStorageAccountProxyDecorator(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.subscription = subscription
cls.creds = ClientSecretCredential(
tenant_id=str(uuid.uuid4()),
client_id=str(uuid.uuid4()),
client_secret=secrets.token_urlsafe())
cls.client = StorageManagementClient(cls.creds, cls.subscription)
def setUp(self):
for account in accounts:
StorageAccount(**account).save()
@mazure
def test_list_storage_accounts(self):
sas = self.client.storage_accounts.list()
self.assertEqual(len([sa for sa in sas]), 3)
for sa in sas:
self.assertIsNotNone(sa)
@mazure
def test_check_storage_account_name(self):
valid = StorageAccountCheckNameAvailabilityParameters(name='foobarsa')
invalid = StorageAccountCheckNameAvailabilityParameters(name='testkit')
self.assertTrue(self.client.storage_accounts
.check_name_availability(valid).name_available)
self.assertTrue(self.client.storage_accounts
.check_name_availability(invalid).name_available)
@mazure
def test_create_storage_account(self):
kws = {
"sku": {"name": "Premium_LRS"},
"kind": "BlockBlobStorage",
"location": "eastus",
}
self.client.storage_accounts.begin_create(
'testrg', 'testaccount', StorageAccountCreateParameters(**kws))
self.assertIsNotNone(
StorageAccount.objects.get(name='testaccount'))
with self.assertRaises(Exception):
self.client.storage_accounts.begin_create(
'testrg', 'testaccount', StorageAccountCreateParameters(**kws))
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='testaccount').count(), 1)
@mazure
def test_delete_storage_account(self):
self.client.storage_accounts.delete(
account_name='testaccount', resource_group_name='testrg')
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='testaccount').count(), 0)
# TODO: Should this fail silently?
self.client.storage_accounts.delete(
account_name='nonexistent', resource_group_name='testrg')
self.assertEqual(StorageAccount.objects(
resourceGroup='testrg', name='nonexistent').count(), 0)
def tearDown(self):
StorageAccount.objects.delete()
if __name__ == '__main__':
unittest.main()
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e1af964ea1a052eea7a1b106b9511087285be9cf
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py
|
Python
|
086 Radix Sort/Radix_Sort_test.py
|
Iftakharpy/AlgoExpert-Questions
|
f4aef449bfe0ee651d84a92487c3b3bedb3aa739
|
[
"Apache-2.0"
] | 3
|
2021-11-19T07:32:27.000Z
|
2022-03-22T13:46:27.000Z
|
086 Radix Sort/Radix_Sort_test.py
|
Iftakharpy/AlgoExpert-Questions
|
f4aef449bfe0ee651d84a92487c3b3bedb3aa739
|
[
"Apache-2.0"
] | null | null | null |
086 Radix Sort/Radix_Sort_test.py
|
Iftakharpy/AlgoExpert-Questions
|
f4aef449bfe0ee651d84a92487c3b3bedb3aa739
|
[
"Apache-2.0"
] | 5
|
2022-01-02T11:51:12.000Z
|
2022-03-22T13:53:32.000Z
|
from Radix_Sort import radixSort
def test_radixSort_case_1():
assert radixSort(array=[8762, 654, 3008, 345, 87, 65, 234, 12, 2]) == [2, 12, 65, 87, 234, 345, 654, 3008, 8762]
def test_radixSort_case_2():
assert radixSort(array=[2, 12, 65, 87, 234, 345, 654, 3008, 8762]) == [2, 12, 65, 87, 234, 345, 654, 3008, 8762]
def test_radixSort_case_3():
assert radixSort(array=[111, 11, 11, 1, 0]) == [0, 1, 11, 11, 111]
def test_radixSort_case_4():
assert radixSort(array=[12, 123, 456, 986, 2, 3, 34, 543, 97654, 34200]) == [2, 3, 12, 34, 123, 456, 543, 986, 34200, 97654]
def test_radixSort_case_5():
assert radixSort(array=[4, 44, 444, 888, 88, 33, 3, 22, 2222, 1111, 1234]) == [3, 4, 22, 33, 44, 88, 444, 888, 1111, 1234, 2222]
def test_radixSort_case_6():
assert radixSort(array=[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
def test_radixSort_case_7():
assert radixSort(array=[]) == []
def test_radixSort_case_8():
assert radixSort(array=[100]) == [100]
def test_radixSort_case_9():
assert radixSort(array=[10000, 100001, 10001, 10101, 101, 11, 100, 10, 1, 0]) == [0, 1, 10, 11, 100, 101, 10000, 10001, 10101, 100001]
def test_radixSort_case_10():
assert radixSort(array=[34, 56, 7373, 2321, 3421, 8272, 232, 23892831, 230983, 2312, 7878, 87, 234, 23, 332, 4556]) == [23, 34, 56, 87, 232, 234, 332, 2312, 2321, 3421, 4556, 7373, 7878, 8272, 230983, 23892831]
def test_radixSort_case_11():
assert radixSort(array=[10, 87, 2321, 3221, 2312, 7632, 6542, 3223, 231, 2342, 321, 9, 1, 323, 421, 325, 65, 789, 4002]) == [1, 9, 10, 65, 87, 231, 321, 323, 325, 421, 789, 2312, 2321, 2342, 3221, 3223, 4002, 6542, 7632]
def test_radixSort_case_12():
assert radixSort(array=[0, 1, 2, 22, 11, 3, 33, 0, 0, 0, 21, 21, 21, 1, 11, 111]) == [0, 0, 0, 0, 1, 1, 2, 3, 11, 11, 21, 21, 21, 22, 33, 111]
def test_radixSort_case_13():
assert radixSort(array=[8, 4, 5, 34, 234, 987, 444, 23, 21, 8, 1, 0]) == [0, 1, 4, 5, 8, 8, 21, 23, 34, 234, 444, 987]
def test_radixSort_case_14():
assert radixSort(array=[1, 11]) == [1, 11]
def test_radixSort_case_15():
assert radixSort(array=[1, 11, 1, 11, 101, 9, 99, 432, 441]) == [1, 1, 9, 11, 11, 99, 101, 432, 441]
def test_radixSort_case_16():
assert radixSort(array=[1000, 100, 10, 1, 10, 100, 1000, 10001, 10201, 1001, 0, 1, 1]) == [0, 1, 1, 1, 10, 10, 100, 100, 1000, 1000, 1001, 10001, 10201]
def test_radixSort_case_17():
assert radixSort(array=[9, 109, 908, 876, 1099, 190, 290, 999, 9999]) == [9, 109, 190, 290, 876, 908, 999, 1099, 9999]
def test_radixSort_case_18():
assert radixSort(array=[0, 999999, 234892, 10000009, 89892, 782731, 891932, 92012, 1892193, 181730, 785239, 2314451, 1231421, 812723]) == [0, 89892, 92012, 181730, 234892, 782731, 785239, 812723, 891932, 999999, 1231421, 1892193, 2314451, 10000009]
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e1b50b7cdc6efeeb2710fa617fcd4e968111e9ea
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py
|
Python
|
experiment_results/exp_sim_regular_20190607T082407Z.py
|
carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental
|
7c3188f0b71e825bc8ce2b1577a93d10b34abdbc
|
[
"Apache-2.0"
] | 11
|
2020-02-18T14:14:40.000Z
|
2021-10-10T12:19:23.000Z
|
experiment_results/exp_sim_regular_20190607T082407Z.py
|
carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental
|
7c3188f0b71e825bc8ce2b1577a93d10b34abdbc
|
[
"Apache-2.0"
] | null | null | null |
experiment_results/exp_sim_regular_20190607T082407Z.py
|
carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental
|
7c3188f0b71e825bc8ce2b1577a93d10b34abdbc
|
[
"Apache-2.0"
] | 2
|
2020-07-08T23:17:01.000Z
|
2021-09-27T03:13:32.000Z
|
# -*- coding: utf-8 -*-
# Copyright 2019 Carsten Blank
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
result = {'experiment': {'qobj': {'qobj_id': '2019-06-07T08:24:07.836571-exp-sim-regular', 'config': {'shots': 8192, 'memory_slots': 2, 'max_credits': 315, 'memory': False, 'n_qubits': 5}, 'experiments': [{'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit641', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.0,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit636', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.100000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit639', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.200000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.30000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit637', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.300000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit638', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.400000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit650', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.500000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.6000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit640', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.600000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.7000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit755', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.700000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.8, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit752', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.800000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit754', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.900000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit753', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit745', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.2000000000000002, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit749', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.3, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit751', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.4000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit747', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit743', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit742', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.7000000000000002, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit732', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.8, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit733', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.9000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit738', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit731', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit734', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit722', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.3000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit729', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.4000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit721', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit723', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit719', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit724', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.8000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit713', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.9000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit712', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit704', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit707', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit709', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.3000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit710', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.4000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit697', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit699', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit702', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit711', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.8000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit705', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.9000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit696', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit685', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit689', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit687', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.3, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit684', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit686', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit680', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.6000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit688', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit677', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.800000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit673', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit669', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit667', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit671', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit665', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.300000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit676', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit668', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit657', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.6000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit659', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit656', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.800000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit661', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit648', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit655', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit649', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit654', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}], 'header': {'backend_name': 'qasm_simulator'}, 'type': 'QASM', 'schema_version': '1.0.0'}, 'date': '2019-06-07T08:24:32.229261', 'job_id': '5cfa031b42519f006f7a6b75', 'backend_name': 'ibmqx4', 'backend_version': '1.1.2', 'job_status': 'DONE', 'results': [{'shots': 8192, 'data': {'counts': {'0x1': 2423, '0x2': 1559, '0x3': 1241, '0x0': 2969}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.0,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit641'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2386, '0x2': 1581, '0x3': 1226, '0x0': 2999}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.100000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit636'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2431, '0x2': 1557, '0x3': 1206, '0x0': 2998}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.200000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit639'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2452, '0x2': 1533, '0x3': 1209, '0x0': 2998}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.300000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit637'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2399, '0x2': 1532, '0x3': 1242, '0x0': 3019}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.400000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit638'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2371, '0x2': 1548, '0x3': 1261, '0x0': 3012}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.500000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit650'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2445, '0x2': 1523, '0x3': 1265, '0x0': 2959}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.600000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit640'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2424, '0x2': 1522, '0x3': 1292, '0x0': 2954}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.700000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit755'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2418, '0x2': 1576, '0x3': 1288, '0x0': 2910}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.800000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit752'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2438, '0x2': 1441, '0x3': 1348, '0x0': 2965}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.900000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit754'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2431, '0x2': 1456, '0x3': 1285, '0x0': 3020}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit753'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2455, '0x2': 1497, '0x3': 1357, '0x0': 2883}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit745'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2378, '0x2': 1547, '0x3': 1333, '0x0': 2934}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit749'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2435, '0x2': 1531, '0x3': 1317, '0x0': 2909}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit751'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2461, '0x2': 1504, '0x3': 1301, '0x0': 2926}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit747'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2469, '0x2': 1507, '0x3': 1236, '0x0': 2980}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit743'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2402, '0x2': 1511, '0x3': 1320, '0x0': 2959}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit742'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2445, '0x2': 1495, '0x3': 1315, '0x0': 2937}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit732'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2481, '0x2': 1500, '0x3': 1364, '0x0': 2847}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit733'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2515, '0x2': 1526, '0x3': 1341, '0x0': 2810}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit738'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2476, '0x2': 1531, '0x3': 1296, '0x0': 2889}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit731'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2496, '0x2': 1487, '0x3': 1377, '0x0': 2832}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit734'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2447, '0x2': 1525, '0x3': 1341, '0x0': 2879}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit722'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2429, '0x2': 1558, '0x3': 1343, '0x0': 2862}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit729'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2462, '0x2': 1525, '0x3': 1425, '0x0': 2780}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit721'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2421, '0x2': 1564, '0x3': 1345, '0x0': 2862}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit723'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2433, '0x2': 1523, '0x3': 1364, '0x0': 2872}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit719'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2463, '0x2': 1570, '0x3': 1372, '0x0': 2787}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit724'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2494, '0x2': 1557, '0x3': 1319, '0x0': 2822}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit713'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2435, '0x2': 1531, '0x3': 1365, '0x0': 2861}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit712'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2454, '0x2': 1599, '0x3': 1316, '0x0': 2823}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit704'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2461, '0x2': 1517, '0x3': 1298, '0x0': 2916}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit707'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2481, '0x2': 1501, '0x3': 1286, '0x0': 2924}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit709'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2442, '0x2': 1535, '0x3': 1304, '0x0': 2911}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit710'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2430, '0x2': 1590, '0x3': 1321, '0x0': 2851}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit697'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2572, '0x2': 1521, '0x3': 1229, '0x0': 2870}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit699'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2403, '0x2': 1616, '0x3': 1330, '0x0': 2843}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit702'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2378, '0x2': 1558, '0x3': 1292, '0x0': 2964}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit711'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2428, '0x2': 1553, '0x3': 1291, '0x0': 2920}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit705'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2456, '0x2': 1488, '0x3': 1299, '0x0': 2949}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit696'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2462, '0x2': 1569, '0x3': 1307, '0x0': 2854}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit685'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2451, '0x2': 1537, '0x3': 1307, '0x0': 2897}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit689'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2432, '0x2': 1545, '0x3': 1309, '0x0': 2906}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit687'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2513, '0x2': 1568, '0x3': 1234, '0x0': 2877}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit684'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2409, '0x2': 1576, '0x3': 1282, '0x0': 2925}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit686'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2329, '0x2': 1641, '0x3': 1244, '0x0': 2978}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit680'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2457, '0x2': 1556, '0x3': 1242, '0x0': 2937}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit688'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2404, '0x2': 1597, '0x3': 1240, '0x0': 2951}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit677'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2404, '0x2': 1578, '0x3': 1230, '0x0': 2980}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit673'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2455, '0x2': 1544, '0x3': 1187, '0x0': 3006}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit669'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2434, '0x2': 1530, '0x3': 1223, '0x0': 3005}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit667'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2341, '0x2': 1511, '0x3': 1264, '0x0': 3076}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit671'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2439, '0x2': 1562, '0x3': 1157, '0x0': 3034}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit665'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2469, '0x2': 1567, '0x3': 1147, '0x0': 3009}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit676'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2455, '0x2': 1595, '0x3': 1245, '0x0': 2897}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit668'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2473, '0x2': 1545, '0x3': 1192, '0x0': 2982}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit657'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2427, '0x2': 1582, '0x3': 1162, '0x0': 3021}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit659'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2370, '0x2': 1552, '0x3': 1273, '0x0': 2997}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit656'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2412, '0x2': 1527, '0x3': 1168, '0x0': 3085}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit661'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2370, '0x2': 1530, '0x3': 1265, '0x0': 3027}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit648'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2435, '0x2': 1486, '0x3': 1238, '0x0': 3033}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit655'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2320, '0x2': 1600, '0x3': 1263, '0x0': 3009}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit649'}}, {'shots': 8192, 'data': {'counts': {'0x1': 2496, '0x2': 1493, '0x3': 1146, '0x0': 3057}}, 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit654'}}], 'classification': [0.02783203125, 0.031494140625, 0.0263671875, 0.027099609375, 0.040283203125, 0.043212890625, 0.03125, 0.03662109375, 0.02490234375, 0.052978515625, 0.051025390625, 0.03515625, 0.041748046875, 0.03173828125, 0.031982421875, 0.029296875, 0.044677734375, 0.0380859375, 0.028076171875, 0.013427734375, 0.021728515625, 0.027587890625, 0.0302734375, 0.026611328125, 0.026611328125, 0.027099609375, 0.0341796875, 0.015380859375, 0.010986328125, 0.03173828125, 0.010498046875, 0.02880859375, 0.02783203125, 0.029052734375, 0.0185546875, 0.000732421875, 0.018798828125, 0.0390625, 0.028076171875, 0.037109375, 0.015869140625, 0.0263671875, 0.029052734375, 0.003662109375, 0.027099609375, 0.03076171875, 0.020263671875, 0.023193359375, 0.02783203125, 0.023681640625, 0.0322265625, 0.0595703125, 0.023193359375, 0.0146484375, 0.01123046875, 0.01904296875, 0.021240234375, 0.04248046875, 0.038330078125, 0.0478515625, 0.042724609375, 0.04296875, 0.026123046875], 'noise_model': None, 'parameters': {'backend': 'ibmqx4', 'use_barriers': True, 'use_generic_weights_circuit': False}}, 'simulation': {'qobj': {'qobj_id': '2019-06-07T08:24:07.836571-exp-sim-regular', 'config': {'shots': 8192, 'memory_slots': 2, 'max_credits': 315, 'memory': False, 'n_qubits': 5}, 'experiments': [{'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit641', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.0,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit636', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.100000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit639', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.200000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.30000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit637', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.300000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit638', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.400000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit650', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.500000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.6000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit640', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.600000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.7000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit755', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.700000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.8, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit752', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.800000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [0.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['0.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit754', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.900000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit753', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit745', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.2000000000000002, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit749', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.3, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit751', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.4000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit747', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit743', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit742', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.7000000000000002, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit732', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.8, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit733', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [1.9000000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['1.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit738', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit731', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit734', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit722', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.3000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit729', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.4000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit721', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit723', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit719', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit724', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.8000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit713', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [2.9000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['2.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit712', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit704', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.1, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit707', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit709', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.3000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit710', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.4000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit697', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit699', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.6, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit702', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit711', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.8000000000000003, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit705', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [3.9000000000000004, -1.5707963267948966, 1.5707963267948966], 'texparams': ['3.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit696', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit685', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit689', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit687', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.3, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit684', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit686', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit680', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.6000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit688', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit677', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.800000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit673', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [4.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['4.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit669', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit667', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit671', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit665', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.300000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.3', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit676', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.4, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.4', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit668', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.5, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.5', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit657', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.6000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.6', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit659', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.7, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.7', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit656', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.800000000000001, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.8', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit661', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [5.9, -1.5707963267948966, 1.5707963267948966], 'texparams': ['5.9', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit648', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.0, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.0', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit655', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.1000000000000005, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.1', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit649', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}, {'instructions': [{'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [-3.141592653589793], 'texparams': ['-3.14159265358979'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u1', 'params': [1.5707963267948966], 'texparams': ['\\frac{\\pi}{2}'], 'qubits': [2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [2, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [1, 0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [0], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [1], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u3', 'params': [6.2, -1.5707963267948966, 1.5707963267948966], 'texparams': ['6.2', '- \\frac{\\pi}{2}', '\\frac{\\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'u2', 'params': [0.7853981633974483, 3.141592653589793], 'texparams': ['\\frac{\\pi}{4}', '\\pi'], 'qubits': [2], 'memory': []}, {'name': 'u3', 'params': [0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['\\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u1', 'params': [-0.7853981633974483], 'texparams': ['- \\frac{\\pi}{4}'], 'qubits': [2], 'memory': []}, {'name': 'u1', 'params': [0.7853981633974483], 'texparams': ['\\frac{\\pi}{4}'], 'qubits': [4], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [4, 2], 'memory': []}, {'name': 'u3', 'params': [-0.7853981633974483, 1.5707963267948966, 4.71238898038469], 'texparams': ['- \\frac{\\pi}{4}', '\\frac{\\pi}{2}', '\\frac{3 \\pi}{2}'], 'qubits': [3], 'memory': []}, {'name': 'cx', 'params': [], 'texparams': [], 'qubits': [3, 2], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'u2', 'params': [0.0, 3.141592653589793], 'texparams': ['0', '\\pi'], 'qubits': [4], 'memory': []}, {'name': 'barrier', 'params': [], 'texparams': [], 'qubits': [0, 1, 2, 3, 4], 'memory': []}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [1], 'memory': [1]}, {'name': 'measure', 'params': [], 'texparams': [], 'qubits': [4], 'memory': [0]}], 'header': {'n_qubits': 5, 'memory_slots': 2, 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'clbit_labels': [['c', 0], ['c', 1]], 'qreg_sizes': [['q', 5]], 'creg_sizes': [['c', 2]], 'name': 'circuit654', 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n'}, 'config': {'memory_slots': 2, 'n_qubits': 5}}], 'header': {'backend_name': 'qasm_simulator'}, 'type': 'QASM', 'schema_version': '1.0.0'}, 'date': '2019-06-08T09:42:15.090328', 'job_id': 'fb4f67e9-84d1-4a92-8807-0826aa3b3a1d', 'backend_name': 'qasm_simulator', 'backend_version': '2.0.0', 'job_status': 'DONE', 'results': [{'shots': 8192, 'data': {'counts': {'0x1': 1650, '0x2': 2426, '0x3': 1687, '0x0': 2429}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.0,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit641'}, 'seed': 4147039754, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.655489543}, {'shots': 8192, 'data': {'counts': {'0x1': 1738, '0x2': 2323, '0x3': 1739, '0x0': 2392}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.100000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit636'}, 'seed': 1158695458, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.564616792}, {'shots': 8192, 'data': {'counts': {'0x1': 1657, '0x2': 2349, '0x3': 1741, '0x0': 2445}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.200000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit639'}, 'seed': 632819035, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.5517234240000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1656, '0x2': 2327, '0x3': 1810, '0x0': 2399}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.300000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit637'}, 'seed': 61339824, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.470756642}, {'shots': 8192, 'data': {'counts': {'0x1': 1628, '0x2': 2329, '0x3': 1726, '0x0': 2509}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.400000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit638'}, 'seed': 1492035068, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.6488093380000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1613, '0x2': 2319, '0x3': 1794, '0x0': 2466}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.500000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit650'}, 'seed': 3645768151, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.628819397}, {'shots': 8192, 'data': {'counts': {'0x1': 1581, '0x2': 2261, '0x3': 1836, '0x0': 2514}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.600000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit640'}, 'seed': 2046641149, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.5055625590000001}, {'shots': 8192, 'data': {'counts': {'0x1': 1580, '0x2': 2253, '0x3': 1854, '0x0': 2505}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.700000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit755'}, 'seed': 791500556, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3888352510000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1518, '0x2': 2155, '0x3': 1943, '0x0': 2576}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.800000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit752'}, 'seed': 2610817867, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.348097351}, {'shots': 8192, 'data': {'counts': {'0x1': 1563, '0x2': 2217, '0x3': 1933, '0x0': 2479}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(0.900000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit754'}, 'seed': 333729897, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.452382509}, {'shots': 8192, 'data': {'counts': {'0x1': 1585, '0x2': 2227, '0x3': 1822, '0x0': 2558}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit753'}, 'seed': 1257121940, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.512300197}, {'shots': 8192, 'data': {'counts': {'0x1': 1544, '0x2': 2226, '0x3': 1879, '0x0': 2543}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit745'}, 'seed': 70880061, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.46708331}, {'shots': 8192, 'data': {'counts': {'0x1': 1538, '0x2': 2232, '0x3': 1852, '0x0': 2570}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit749'}, 'seed': 1179830871, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.545442553}, {'shots': 8192, 'data': {'counts': {'0x1': 1503, '0x2': 2164, '0x3': 1917, '0x0': 2608}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit751'}, 'seed': 2746378414, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.62078093}, {'shots': 8192, 'data': {'counts': {'0x1': 1557, '0x2': 2168, '0x3': 1945, '0x0': 2522}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit747'}, 'seed': 303498833, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.601275444}, {'shots': 8192, 'data': {'counts': {'0x1': 1490, '0x2': 2206, '0x3': 1926, '0x0': 2570}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit743'}, 'seed': 1455966675, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.358250125}, {'shots': 8192, 'data': {'counts': {'0x1': 1548, '0x2': 2081, '0x3': 1934, '0x0': 2629}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit742'}, 'seed': 1361928161, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.409650211}, {'shots': 8192, 'data': {'counts': {'0x1': 1485, '0x2': 2202, '0x3': 1938, '0x0': 2567}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit732'}, 'seed': 1951841005, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.392631642}, {'shots': 8192, 'data': {'counts': {'0x1': 1538, '0x2': 2151, '0x3': 1887, '0x0': 2616}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit733'}, 'seed': 1323679889, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.472122579}, {'shots': 8192, 'data': {'counts': {'0x1': 1529, '0x2': 2200, '0x3': 1957, '0x0': 2506}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(1.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit738'}, 'seed': 499036929, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.634924191}, {'shots': 8192, 'data': {'counts': {'0x1': 1575, '0x2': 2185, '0x3': 1897, '0x0': 2535}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit731'}, 'seed': 4151226062, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.435326308}, {'shots': 8192, 'data': {'counts': {'0x1': 1531, '0x2': 2136, '0x3': 1932, '0x0': 2593}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit734'}, 'seed': 892892889, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.358093827}, {'shots': 8192, 'data': {'counts': {'0x1': 1513, '0x2': 2251, '0x3': 1840, '0x0': 2588}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit722'}, 'seed': 2392453123, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3773068670000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1585, '0x2': 2224, '0x3': 1826, '0x0': 2557}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit729'}, 'seed': 2762547705, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3800682590000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1660, '0x2': 2188, '0x3': 1875, '0x0': 2469}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit721'}, 'seed': 2809111413, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.4056985750000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1674, '0x2': 2213, '0x3': 1829, '0x0': 2476}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit723'}, 'seed': 2044641751, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3610710590000001}, {'shots': 8192, 'data': {'counts': {'0x1': 1682, '0x2': 2147, '0x3': 1881, '0x0': 2482}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit719'}, 'seed': 2988827237, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3609301180000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1612, '0x2': 2198, '0x3': 1856, '0x0': 2526}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit724'}, 'seed': 974607098, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.4177007320000001}, {'shots': 8192, 'data': {'counts': {'0x1': 1695, '0x2': 2322, '0x3': 1774, '0x0': 2401}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit713'}, 'seed': 3758747350, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3754004510000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1665, '0x2': 2208, '0x3': 1839, '0x0': 2480}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(2.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit712'}, 'seed': 2354712320, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3612688940000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1734, '0x2': 2279, '0x3': 1742, '0x0': 2437}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit704'}, 'seed': 1704772878, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.337759613}, {'shots': 8192, 'data': {'counts': {'0x1': 1767, '0x2': 2367, '0x3': 1651, '0x0': 2407}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit707'}, 'seed': 1485551314, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.386212416}, {'shots': 8192, 'data': {'counts': {'0x1': 1825, '0x2': 2295, '0x3': 1691, '0x0': 2381}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit709'}, 'seed': 1566321111, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.407048966}, {'shots': 8192, 'data': {'counts': {'0x1': 1802, '0x2': 2391, '0x3': 1661, '0x0': 2338}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit710'}, 'seed': 4265699377, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.378266001}, {'shots': 8192, 'data': {'counts': {'0x1': 1827, '0x2': 2390, '0x3': 1669, '0x0': 2306}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit697'}, 'seed': 1368891216, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3933261760000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1877, '0x2': 2365, '0x3': 1627, '0x0': 2323}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit699'}, 'seed': 3627411288, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3621925860000001}, {'shots': 8192, 'data': {'counts': {'0x1': 1788, '0x2': 2463, '0x3': 1636, '0x0': 2305}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit702'}, 'seed': 980639624, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3582759020000001}, {'shots': 8192, 'data': {'counts': {'0x1': 1764, '0x2': 2475, '0x3': 1611, '0x0': 2342}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit711'}, 'seed': 1964510885, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.395424401}, {'shots': 8192, 'data': {'counts': {'0x1': 1915, '0x2': 2418, '0x3': 1579, '0x0': 2280}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit705'}, 'seed': 3951225331, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.395582947}, {'shots': 8192, 'data': {'counts': {'0x1': 1839, '0x2': 2528, '0x3': 1561, '0x0': 2264}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(3.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit696'}, 'seed': 120503370, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3660771820000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1862, '0x2': 2592, '0x3': 1525, '0x0': 2213}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit685'}, 'seed': 1666753007, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.359008575}, {'shots': 8192, 'data': {'counts': {'0x1': 1876, '0x2': 2509, '0x3': 1541, '0x0': 2266}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit689'}, 'seed': 2836825091, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.3782593900000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1916, '0x2': 2493, '0x3': 1536, '0x0': 2247}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit687'}, 'seed': 2630557321, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.374792664}, {'shots': 8192, 'data': {'counts': {'0x1': 1848, '0x2': 2572, '0x3': 1565, '0x0': 2207}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit684'}, 'seed': 3606300453, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.355576372}, {'shots': 8192, 'data': {'counts': {'0x1': 1932, '0x2': 2540, '0x3': 1536, '0x0': 2184}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit686'}, 'seed': 1997463101, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.389206379}, {'shots': 8192, 'data': {'counts': {'0x1': 1929, '0x2': 2621, '0x3': 1474, '0x0': 2168}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit680'}, 'seed': 1069013720, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.429639096}, {'shots': 8192, 'data': {'counts': {'0x1': 1835, '0x2': 2668, '0x3': 1468, '0x0': 2221}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit688'}, 'seed': 3085224524, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.324968562}, {'shots': 8192, 'data': {'counts': {'0x1': 1893, '0x2': 2664, '0x3': 1508, '0x0': 2127}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit677'}, 'seed': 17270314, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.337863695}, {'shots': 8192, 'data': {'counts': {'0x1': 1963, '0x2': 2586, '0x3': 1490, '0x0': 2153}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit673'}, 'seed': 1086589983, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.459208933}, {'shots': 8192, 'data': {'counts': {'0x1': 1861, '0x2': 2564, '0x3': 1608, '0x0': 2159}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(4.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit669'}, 'seed': 219948600, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.623093941}, {'shots': 8192, 'data': {'counts': {'0x1': 1919, '0x2': 2541, '0x3': 1500, '0x0': 2232}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit667'}, 'seed': 3149884674, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.415628028}, {'shots': 8192, 'data': {'counts': {'0x1': 1890, '0x2': 2570, '0x3': 1437, '0x0': 2295}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit671'}, 'seed': 1107987449, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.433994427}, {'shots': 8192, 'data': {'counts': {'0x1': 1932, '0x2': 2487, '0x3': 1525, '0x0': 2248}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit665'}, 'seed': 2080513190, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.382576645}, {'shots': 8192, 'data': {'counts': {'0x1': 1908, '0x2': 2608, '0x3': 1511, '0x0': 2165}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.30000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit676'}, 'seed': 1246005201, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.4606654810000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1856, '0x2': 2522, '0x3': 1594, '0x0': 2220}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.40000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit668'}, 'seed': 720338331, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.458013232}, {'shots': 8192, 'data': {'counts': {'0x1': 1891, '0x2': 2488, '0x3': 1572, '0x0': 2241}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.50000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit657'}, 'seed': 3446967233, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.568599544}, {'shots': 8192, 'data': {'counts': {'0x1': 1829, '0x2': 2545, '0x3': 1531, '0x0': 2287}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.60000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit659'}, 'seed': 2608689959, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.5380174910000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1807, '0x2': 2525, '0x3': 1591, '0x0': 2269}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.70000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit656'}, 'seed': 110198120, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.5298761870000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1913, '0x2': 2462, '0x3': 1635, '0x0': 2182}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.80000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit661'}, 'seed': 2642936953, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.580686357}, {'shots': 8192, 'data': {'counts': {'0x1': 1817, '0x2': 2448, '0x3': 1580, '0x0': 2347}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(5.90000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit648'}, 'seed': 2276677709, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.43879365}, {'shots': 8192, 'data': {'counts': {'0x1': 1733, '0x2': 2465, '0x3': 1632, '0x0': 2362}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.00000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit655'}, 'seed': 2971550177, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.563898091}, {'shots': 8192, 'data': {'counts': {'0x1': 1741, '0x2': 2401, '0x3': 1657, '0x0': 2393}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.10000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit649'}, 'seed': 2662184344, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.4815134950000002}, {'shots': 8192, 'data': {'counts': {'0x1': 1732, '0x2': 2363, '0x3': 1703, '0x0': 2394}}, 'status': 'DONE', 'success': True, 'header': {'clbit_labels': [['c', 0], ['c', 1]], 'qubit_labels': [['q', 0], ['q', 1], ['q', 2], ['q', 3], ['q', 4]], 'memory_slots': 2, 'compiled_circuit_qasm': 'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\ncreg c[2];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(-3.14159265358979) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu1(pi/2) q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\ncx q[2],q[0];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[0];\nu2(0,pi) q[1];\ncx q[1],q[0];\nu2(0,pi) q[1];\nu2(0,pi) q[0];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu3(6.20000000000000,-pi/2,pi/2) q[3];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\ncx q[3],q[2];\nu2(0,pi) q[2];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[2];\nu3(pi/4,pi/2,3*pi/2) q[3];\ncx q[3],q[4];\nu3(-pi/4,pi/2,3*pi/2) q[3];\nu2(0,pi) q[4];\nu2(pi/4,pi) q[2];\ncx q[4],q[2];\nu1(pi/4) q[4];\nu1(-pi/4) q[2];\ncx q[4],q[2];\ncx q[3],q[2];\nbarrier q[0],q[1],q[2],q[3],q[4];\nu2(0,pi) q[4];\nbarrier q[0],q[1],q[2],q[3],q[4];\nmeasure q[4] -> c[0];\nmeasure q[1] -> c[1];\n', 'creg_sizes': [['c', 2]], 'qreg_sizes': [['q', 5]], 'n_qubits': 5, 'name': 'circuit654'}, 'seed': 536747345, 'metadata': {'method': 'statevector', 'omp_shot_threads': 1, 'omp_state_threads': 8}, 'time_taken': 1.481845604}], 'classification': [0.0048828125, 0.008544921875, 0.02197265625, 0.027587890625, 0.033935546875, 0.0400390625, 0.06201171875, 0.064208984375, 0.103271484375, 0.0771484375, 0.0693359375, 0.07958984375, 0.07958984375, 0.104736328125, 0.090576171875, 0.09765625, 0.114013671875, 0.099853515625, 0.099365234375, 0.089599609375, 0.08203125, 0.104736328125, 0.0810546875, 0.070068359375, 0.060546875, 0.051025390625, 0.065185546875, 0.06982421875, 0.019287109375, 0.054443359375, 0.020263671875, -0.00927734375, -0.005859375, -0.023681640625, -0.029541015625, -0.03564453125, -0.037841796875, -0.034912109375, -0.057861328125, -0.066162109375, -0.08740234375, -0.070556640625, -0.076416015625, -0.0791015625, -0.091796875, -0.11083984375, -0.099365234375, -0.112548828125, -0.110595703125, -0.080322265625, -0.0888671875, -0.0888671875, -0.078857421875, -0.1025390625, -0.06884765625, -0.069091796875, -0.06787109375, -0.0576171875, -0.068115234375, -0.041259765625, -0.02490234375, -0.01123046875, 0.000244140625], 'noise_model': None, 'parameters': {'backend': 'ibmqx4', 'use_barriers': True, 'circuit_factory': 'create_swap_test_old_circuit'}}}
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| 16
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| 60,973.5625
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| 252
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0
| 10
|
e1bd6031950fc8e492e0cd8c2784ef349d3cd00b
| 1,179
|
py
|
Python
|
src/test_proper_parenthetics.py
|
marco-zangari/code-katas
|
1dfda1cfbbe8687b17e97e414358b38d964df675
|
[
"MIT"
] | null | null | null |
src/test_proper_parenthetics.py
|
marco-zangari/code-katas
|
1dfda1cfbbe8687b17e97e414358b38d964df675
|
[
"MIT"
] | null | null | null |
src/test_proper_parenthetics.py
|
marco-zangari/code-katas
|
1dfda1cfbbe8687b17e97e414358b38d964df675
|
[
"MIT"
] | null | null | null |
"""Test proper parenthetics."""
import pytest
from proper_parenthetics import lisp_parens_with_count, lisp_parens_with_stack
def test_lisp_parens_with_count_closed():
"""Output with count to see whether parens closed(-1)."""
input = lisp_parens_with_stack(')))(((')
assert input == -1
def test_lisp_parens_with_count_open():
"""Output with count to see whether parens open(1)."""
input = lisp_parens_with_stack('((())')
assert input == 1
def test_lisp_parens_with_count_balanced():
"""Output with count to see whether parens balanced(0)."""
input = lisp_parens_with_stack('((()))')
assert input == 0
def test_lisp_parens_with_stack_start_closed():
"""Output with stack to see whether parens closed(-1)."""
input = lisp_parens_with_stack(')))(((')
assert input == -1
def test_list_parens_with_stack_start_open():
"""Output with stack to see whether parens open(1)."""
input = lisp_parens_with_stack('((())')
assert input == 1
def test_list_parens_with_stack_start_balanced():
"""Output with stack to see whether parens balanced(0)."""
input = lisp_parens_with_stack('((()))')
assert input == 0
| 28.071429
| 78
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0
| 7
|
e1d04143a2a9c05378d1afe450a2293df75310e8
| 115
|
py
|
Python
|
qualifiedname/__init__.py
|
maxfischer2781/qualifiedname
|
8aea438f231130f167c3827890c2ce26a8236754
|
[
"MIT"
] | null | null | null |
qualifiedname/__init__.py
|
maxfischer2781/qualifiedname
|
8aea438f231130f167c3827890c2ce26a8236754
|
[
"MIT"
] | null | null | null |
qualifiedname/__init__.py
|
maxfischer2781/qualifiedname
|
8aea438f231130f167c3827890c2ce26a8236754
|
[
"MIT"
] | null | null | null |
from qualifiedname.qname_meta import QualNameMeta
from qualifiedname.qname_recursive import set_qualname_recursive
| 38.333333
| 64
| 0.913043
| 14
| 115
| 7.214286
| 0.642857
| 0.336634
| 0.435644
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069565
| 115
| 2
| 65
| 57.5
| 0.943925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
bedc2be305334dab95d31f346074ddeb68bd9d43
| 85
|
py
|
Python
|
ips/ip/spi_master/__init__.py
|
zld012739/zldrepository
|
5635b78a168956091676ef4dd99fa564be0e5ba0
|
[
"MIT"
] | null | null | null |
ips/ip/spi_master/__init__.py
|
zld012739/zldrepository
|
5635b78a168956091676ef4dd99fa564be0e5ba0
|
[
"MIT"
] | null | null | null |
ips/ip/spi_master/__init__.py
|
zld012739/zldrepository
|
5635b78a168956091676ef4dd99fa564be0e5ba0
|
[
"MIT"
] | null | null | null |
from spi_master_partial import get_ip_name
from spi_master_partial import SPI_MASTER
| 28.333333
| 42
| 0.905882
| 15
| 85
| 4.666667
| 0.533333
| 0.385714
| 0.371429
| 0.571429
| 0.742857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094118
| 85
| 2
| 43
| 42.5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
bedf014a2af79c841b2ce232aee1741a863642a7
| 43,552
|
py
|
Python
|
pycity_resilience/test/test_lhn_changes.py
|
RWTH-EBC/pyCity_resilience
|
e0ff1e137adb0edec0509b8b50ca0931e761a9b4
|
[
"MIT"
] | 3
|
2020-06-18T02:01:09.000Z
|
2020-10-20T13:57:10.000Z
|
pycity_resilience/test/test_lhn_changes.py
|
RWTH-EBC/pyCity_resilience
|
e0ff1e137adb0edec0509b8b50ca0931e761a9b4
|
[
"MIT"
] | null | null | null |
pycity_resilience/test/test_lhn_changes.py
|
RWTH-EBC/pyCity_resilience
|
e0ff1e137adb0edec0509b8b50ca0931e761a9b4
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from __future__ import division
import copy
import shapely.geometry.point as point
import pycity_resilience.ga.evolution.lhn_changes as lhnchanges
class TestLHNChanges():
def test_add_lhn_all_build(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1008: 40}
lhnchanges.add_lhn_all_build(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_feed=[1, 0])
# Check if all buildings have been connected to LHN
assert sorted(ind['lhn'][0]) == [1001, 1002, 1003, 1008]
# Check if, at least, on CHP has been build
assert (ind[1001]['chp'] > 0 or ind[1002]['chp'] > 0
or ind[1003]['chp'] > 0 or ind[1008]['chp'] > 0)
# Check if number of CHPs is one, number of tes is one
# and HPs have been removed
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp == 1
assert count_hp_aw == 0
assert count_tes == 1
def test_add_lhn_all_build2(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1008: 40}
lhnchanges.add_lhn_all_build(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_feed=[0, 1])
# Check if all buildings have been connected to LHN
assert sorted(ind['lhn'][0]) == [1001, 1002, 1003, 1008]
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp > 1
assert count_hp_aw == 0
assert count_tes > 1
def test_del_lhn(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
1005: copy.copy(b_dict),
1006: copy.copy(b_dict),
1007: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': [[1001, 1002, 1003, 1004], [1005, 1006, 1007, 1008]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 10,
1005: 20,
1006: 30,
1007: 50,
1008: 40}
lhnchanges.del_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_del=[1, 0])
# Check if only one LHN is left
assert len(ind['lhn']) == 1
assert (sorted(ind['lhn'][0]) == [1001, 1002, 1003, 1004]
or sorted(ind['lhn'][0]) == [1005, 1006, 1007, 1008])
def test_del_lhn2(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 10}
lhnchanges.del_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area)
# Check if no LHN is left
assert len(ind['lhn']) == 0
# Check if every building id has, at least, one thermal device
for n in [1001, 1002, 1003, 1004]:
has_th_sup = False # Initial dummy value
if ind[n]['boi'] > 0:
has_th_sup = True
elif ind[n]['chp'] > 0:
has_th_sup = True
elif ind[n]['hp_aw'] > 0:
has_th_sup = True
elif ind[n]['hp_ww'] > 0:
has_th_sup = True
assert has_th_sup is True
def test_del_lhn3(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
1005: copy.copy(b_dict),
1006: copy.copy(b_dict),
1007: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': [[1001, 1002, 1003, 1004], [1005, 1006, 1007, 1008]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 10,
1005: 20,
1006: 30,
1007: 50,
1008: 40}
lhnchanges.del_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_del=[0, 1])
# Check if no LHN is left
assert len(ind['lhn']) == 0
def test_add_lhn(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1008: p8}
lhnchanges.add_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos, list_prob_lhn=[1, 0],
prob_gen_method=[1, 0, 0])
assert len(ind['lhn'][0]) > 0
count_chp = 0
count_tes = 0
for i in [1001, 1002, 1003, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp > 0
assert count_tes > 0
def test_add_lhn2(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
1005: copy.copy(b_dict),
1006: copy.copy(b_dict),
1007: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
lhnchanges.add_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos, list_prob_lhn=[0, 1],
prob_gen_method=[1, 0, 0])
assert len(ind['lhn'][0]) > 0
assert len(ind['lhn']) > 0 # Might only generate single LHN
count_chp = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp > 0
assert count_tes > 0
def test_add_lhn_kmeans(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
1005: copy.copy(b_dict),
1006: copy.copy(b_dict),
1007: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
lhnchanges.add_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos, list_prob_lhn=[0, 1],
prob_feed=[0, 1],
prob_gen_method=[0, 1, 0])
assert len(ind['lhn'][0]) > 0
assert len(ind['lhn']) > 0 # Might only generate single LHN
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp > 0
assert count_hp_aw == 0
assert count_tes > 0
def test_add_lhn_meanshift(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 0,
'chp': 0,
'hp_aw': 20,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict),
1005: copy.copy(b_dict),
1006: copy.copy(b_dict),
1007: copy.copy(b_dict),
1008: copy.copy(b_dict),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
lhnchanges.add_lhn(ind=ind, dict_restr=dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos, list_prob_lhn=[0, 1],
prob_feed=[0, 1],
prob_gen_method=[0, 0, 1])
assert len(ind['lhn'][0]) > 0
assert len(ind['lhn']) > 0 # Might only generate single LHN
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp > 0
assert count_hp_aw == 0
assert count_tes > 0
def test_add_lhn_node(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.add_lhn_node(ind=ind,
idx_lhn=idx_lhn,
dict_restr=dict_restr,
dict_pos=dict_pos,
prob_nodes=[1, 0],
prob_lhn_mut=1,
prob_no_th_sup=1,
prob_closest=1)
assert len(ind['lhn'][0]) == 4
def test_add_lhn_node2(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.add_lhn_node(ind=ind,
idx_lhn=idx_lhn,
dict_restr=dict_restr,
dict_pos=dict_pos,
prob_nodes=[1, 0],
prob_lhn_mut=1,
prob_no_th_sup=0,
prob_closest=1)
assert len(ind['lhn'][0]) == 4
def test_add_lhn_node3(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.add_lhn_node(ind=ind,
idx_lhn=idx_lhn,
dict_restr=dict_restr,
dict_pos=dict_pos,
prob_nodes=[1, 0],
prob_lhn_mut=1,
prob_no_th_sup=0,
prob_closest=0)
assert len(ind['lhn'][0]) == 4
def test_add_lhn_node4(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.add_lhn_node(ind=ind,
idx_lhn=idx_lhn,
dict_restr=dict_restr,
dict_pos=dict_pos,
prob_nodes=[0, 1],
prob_lhn_mut=1,
prob_no_th_sup=1,
prob_closest=1)
assert len(ind['lhn'][0]) > 4
def test_add_single_lhn(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': []}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
lhnchanges.add_single_lhn(ind, dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos,
max_dist=None, prob_feed=[0, 1])
assert len(ind['lhn'][0]) >= 2 # Min. two nodes
assert len(ind['lhn']) == 1 # Min. one network
# Check if number of CHPs is one, number of tes is one
# and HPs have been removed
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp >= 2
assert count_hp_aw == 0
assert count_tes >= 2
def test_del_lhn_node(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.del_lhn_node(ind,
idx_lhn,
dict_restr,
pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos,
prob_nodes=[1, 0],
prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 2
def test_del_lhn_node2(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.del_lhn_node(ind,
idx_lhn,
dict_restr,
pv_min=0,
dict_max_pv_area=dict_max_pv_area,
dict_pos=dict_pos,
prob_nodes=[0, 1],
prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 2
def test_add_lhn_feeder_node(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.add_lhn_feeder_node(ind, idx_lhn, dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_feed=[1, 0], prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 4
# Check if another CHP has been added
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp == 2
assert count_hp_aw == 0
assert count_tes == 2
def test_del_lhn_feeder(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.del_lhn_feeder(ind, idx_lhn, prob_feed=[1, 0],
prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 4
# Check if number of CHPs is one, number of tes is one
# and HPs have been removed
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp == 1
assert count_hp_aw == 0
assert count_tes == 1
def test_del_lhn_feeder(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: copy.copy(b_dict),
1003: copy.copy(b_dict),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.del_lhn_feeder(ind, idx_lhn, prob_feed=[0, 1],
prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 4
# Check if number of CHPs is one, number of tes is one
# and HPs have been removed
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp == 1
assert count_hp_aw == 0
assert count_tes == 1
def test_change_lhn_feeder_node(self):
dict_restr = {'boi': [1],
'tes': [2],
'chp': [3],
'hp_aw': [4],
'hp_ww': [5],
'eh': [6],
'pv': [7],
'bat': [8]}
b_dict = {'boi': 10,
'chp': 20,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 30,
'pv': 0,
'bat': 0}
b_dict2 = {'boi': 0,
'chp': 0,
'hp_aw': 0,
'hp_ww': 0,
'eh': 0,
'tes': 0,
'pv': 0,
'bat': 0}
ind = {1001: b_dict,
1002: b_dict2,
1003: copy.copy(b_dict2),
1004: copy.copy(b_dict2),
1005: copy.copy(b_dict2),
1006: copy.copy(b_dict2),
1007: copy.copy(b_dict2),
1008: copy.copy(b_dict2),
'lhn': [[1001, 1002, 1003, 1004]]}
dict_max_pv_area = {1001: 10,
1002: 20,
1003: 30,
1004: 20,
1005: 60,
1006: 20,
1007: 30,
1008: 40}
p1 = point.Point(0, 0)
p2 = point.Point(10, 0)
p3 = point.Point(20, 0)
p4 = point.Point(0, 10)
p5 = point.Point(10, 10)
p6 = point.Point(20, 10)
p7 = point.Point(30, 10)
p8 = point.Point(30, 0)
dict_pos = {1001: p1, 1002: p2, 1003: p3, 1004: p4, 1005: p5,
1006: p6, 1007: p7, 1008: p8}
idx_lhn = 0
lhnchanges.change_lhn_feeder_node(ind, idx_lhn, dict_restr, pv_min=0,
dict_max_pv_area=dict_max_pv_area,
prob_feed=[1, 0],
prob_lhn_mut=1)
assert len(ind['lhn'][0]) == 4
# Check if number of CHPs is one, number of tes is one
# and HPs have been removed
count_chp = 0
count_hp_aw = 0
count_tes = 0
for i in [1001, 1002, 1003, 1004]:
if ind[i]['chp'] > 0:
count_chp += 1
if ind[i]['hp_aw'] > 0:
count_hp_aw += 1
if ind[i]['tes'] > 0:
count_tes += 1
assert count_chp == 1
assert count_hp_aw == 0
assert count_tes == 1
assert ind[1001]['chp'] == 0 # CHP moved to other node
| 31.242468
| 78
| 0.343038
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0
| 8
|
bedfd910c6a821fcaffa87af09e3346a2f16cc81
| 21,949
|
py
|
Python
|
tests/kbcr/clutrr/test_adv.py
|
Vikicsizmadia/ctp
|
d88fdfecf4b90ee42e6137a9767226c0d35b19a3
|
[
"MIT"
] | 41
|
2020-07-14T15:44:20.000Z
|
2022-03-25T10:33:07.000Z
|
tests/kbcr/clutrr/test_adv.py
|
Vikicsizmadia/ctp
|
d88fdfecf4b90ee42e6137a9767226c0d35b19a3
|
[
"MIT"
] | 3
|
2020-12-28T05:57:12.000Z
|
2022-03-09T01:05:06.000Z
|
tests/kbcr/clutrr/test_adv.py
|
Vikicsizmadia/ctp
|
d88fdfecf4b90ee42e6137a9767226c0d35b19a3
|
[
"MIT"
] | 12
|
2020-07-14T22:56:46.000Z
|
2022-01-17T02:40:10.000Z
|
# -*- coding: utf-8 -*-
import numpy as np
import multiprocessing
import torch
from torch import nn, Tensor
from ctp.kernels import GaussianKernel
from ctp.clutrr.models import BatchNeuralKB, BatchHoppy, BatchUnary, BatchMulti
from ctp.reformulators import SymbolicReformulator
from typing import List, Dict, Tuple, Optional
import pytest
torch.set_num_threads(multiprocessing.cpu_count())
def encode_relation(facts: List[Tuple[str, str, str]],
relation_embeddings: nn.Embedding,
relation_to_idx: Dict[str, int],
device: Optional[torch.device] = None) -> Tensor:
indices_np = np.array([relation_to_idx[r] for _, r, _ in facts], dtype=np.int64)
indices = torch.from_numpy(indices_np)
if device is not None:
indices = indices.to(device)
return relation_embeddings(indices)
def encode_arguments(facts: List[Tuple[str, str, str]],
entity_embeddings: nn.Embedding,
entity_to_idx: Dict[str, int],
device: Optional[torch.device] = None) -> Tuple[Tensor, Tensor]:
indices_np = np.array([[entity_to_idx[s], entity_to_idx[o]] for s, _, o in facts], dtype=np.int64)
indices = torch.from_numpy(indices_np)
if device is not None:
indices = indices.to(device)
emb = entity_embeddings(indices)
return emb[:, 0, :], emb[:, 1, :]
@pytest.mark.light
def test_adv_v1():
embedding_size = 20
torch.manual_seed(0)
rs = np.random.RandomState(0)
triples = [
('a', 'p', 'b'),
('b', 'q', 'c'),
('c', 'p', 'd'),
('d', 'q', 'e'),
('e', 'p', 'f'),
('f', 'q', 'g'),
('g', 'p', 'h'),
('h', 'q', 'i'),
('i', 'p', 'l'),
('l', 'q', 'm'),
('m', 'p', 'n'),
('n', 'q', 'o'),
('o', 'p', 'p'),
('p', 'q', 'q'),
('q', 'p', 'r'),
('r', 'q', 's'),
('s', 'p', 't'),
('t', 'q', 'u'),
('u', 'p', 'v'),
('v', 'q', 'w'),
('x', 'r', 'y'),
('x', 's', 'y')
]
entity_lst = sorted({e for (e, _, _) in triples} | {e for (_, _, e) in triples})
predicate_lst = sorted({p for (_, p, _) in triples})
nb_entities = len(entity_lst)
nb_predicates = len(predicate_lst)
entity_to_index = {e: i for i, e in enumerate(entity_lst)}
predicate_to_index = {p: i for i, p in enumerate(predicate_lst)}
with torch.no_grad():
kernel = GaussianKernel()
entity_embeddings = nn.Embedding(nb_entities, embedding_size * 2, sparse=True)
predicate_embeddings = nn.Embedding(nb_predicates, embedding_size * 2, sparse=True)
rel_emb = encode_relation(facts=triples,
relation_embeddings=predicate_embeddings,
relation_to_idx=predicate_to_index)
arg1_emb, arg2_emb = encode_arguments(facts=triples,
entity_embeddings=entity_embeddings,
entity_to_idx=entity_to_index)
batch_size = 12
fact_size = rel_emb.shape[0]
entity_size = entity_embeddings.weight.shape[0]
rel_emb = rel_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg1_emb = arg1_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg2_emb = arg2_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
nb_facts = torch.tensor([fact_size for _ in range(batch_size)], dtype=torch.long)
emb = entity_embeddings.weight.view(1, entity_size, -1).repeat(batch_size, 1, 1)
_nb_entities = torch.tensor([entity_size for _ in range(batch_size)], dtype=torch.long)
facts = [rel_emb, arg1_emb, arg2_emb]
model = BatchNeuralKB(kernel=kernel)
indices = torch.from_numpy(np.array([predicate_to_index['p'], predicate_to_index['q']]))
reformulator = SymbolicReformulator(predicate_embeddings, indices)
hoppy0 = BatchHoppy(model, hops_lst=[(reformulator, False)], depth=0)
hoppy1 = BatchHoppy(model, hops_lst=[(reformulator, False)], depth=1)
hoppy2 = BatchHoppy(model, hops_lst=[(reformulator, False)], depth=2)
hoppy3 = BatchHoppy(model, hops_lst=[(reformulator, False)], depth=3)
xs_np = rs.randint(nb_entities, size=batch_size)
xp_np = rs.randint(nb_predicates, size=batch_size)
xo_np = rs.randint(nb_entities, size=batch_size)
xs_np[0] = entity_to_index['a']
xp_np[0] = predicate_to_index['r']
xo_np[0] = entity_to_index['c']
xs_np[1] = entity_to_index['a']
xp_np[1] = predicate_to_index['r']
xo_np[1] = entity_to_index['e']
xs_np[2] = entity_to_index['a']
xp_np[2] = predicate_to_index['r']
xo_np[2] = entity_to_index['g']
xs_np[3] = entity_to_index['a']
xp_np[3] = predicate_to_index['r']
xo_np[3] = entity_to_index['i']
xs_np[4] = entity_to_index['a']
xp_np[4] = predicate_to_index['r']
xo_np[4] = entity_to_index['m']
xs_np[5] = entity_to_index['a']
xp_np[5] = predicate_to_index['r']
xo_np[5] = entity_to_index['o']
xs_np[6] = entity_to_index['a']
xp_np[6] = predicate_to_index['r']
xo_np[6] = entity_to_index['q']
xs_np[7] = entity_to_index['a']
xp_np[7] = predicate_to_index['r']
xo_np[7] = entity_to_index['s']
xs_np[8] = entity_to_index['a']
xp_np[8] = predicate_to_index['r']
xo_np[8] = entity_to_index['u']
xs = torch.from_numpy(xs_np)
xp = torch.from_numpy(xp_np)
xo = torch.from_numpy(xo_np)
xs_emb = entity_embeddings(xs)
xp_emb = predicate_embeddings(xp)
xo_emb = entity_embeddings(xo)
inf0 = hoppy0.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf1 = hoppy1.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf2 = hoppy2.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf3 = hoppy3.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf0_np = inf0.cpu().numpy()
inf1_np = inf1.cpu().numpy()
inf2_np = inf2.cpu().numpy()
inf3_np = inf3.cpu().numpy()
np.testing.assert_allclose(inf0_np, [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf1_np, [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf2_np, [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
np.testing.assert_allclose(inf3_np, [1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], rtol=1e-1, atol=1e-1)
print(inf3_np)
@pytest.mark.light
def test_adv_v2():
embedding_size = 20
torch.manual_seed(0)
rs = np.random.RandomState(0)
triples = [
('a', 'p', 'b'),
('a', 'p', 'd'),
('c', 'p', 'd'),
('e', 'q', 'f'),
('f', 'p', 'c'),
('x', 'r', 'y')
]
entity_lst = sorted({e for (e, _, _) in triples} | {e for (_, _, e) in triples})
predicate_lst = sorted({p for (_, p, _) in triples})
nb_entities = len(entity_lst)
nb_predicates = len(predicate_lst)
entity_to_index = {e: i for i, e in enumerate(entity_lst)}
predicate_to_index = {p: i for i, p in enumerate(predicate_lst)}
with torch.no_grad():
kernel = GaussianKernel()
entity_embeddings = nn.Embedding(nb_entities, embedding_size * 2, sparse=True)
predicate_embeddings = nn.Embedding(nb_predicates, embedding_size * 2, sparse=True)
rel_emb = encode_relation(facts=triples,
relation_embeddings=predicate_embeddings,
relation_to_idx=predicate_to_index)
arg1_emb, arg2_emb = encode_arguments(facts=triples,
entity_embeddings=entity_embeddings,
entity_to_idx=entity_to_index)
batch_size = 6
fact_size = rel_emb.shape[0]
entity_size = entity_embeddings.weight.shape[0]
rel_emb = rel_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg1_emb = arg1_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg2_emb = arg2_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
nb_facts = torch.tensor([fact_size for _ in range(batch_size)], dtype=torch.long)
emb = entity_embeddings.weight.view(1, entity_size, -1).repeat(batch_size, 1, 1)
_nb_entities = torch.tensor([entity_size for _ in range(batch_size)], dtype=torch.long)
facts = [rel_emb, arg1_emb, arg2_emb]
model = BatchNeuralKB(kernel=kernel)
indices = torch.from_numpy(np.array([predicate_to_index['p']]))
reformulator = SymbolicReformulator(predicate_embeddings, indices)
unary = BatchUnary(model, hops_lst=[(reformulator, False)])
xs_np = rs.randint(nb_entities, size=batch_size)
xp_np = rs.randint(nb_predicates, size=batch_size)
xo_np = rs.randint(nb_entities, size=batch_size)
xs_np[0] = entity_to_index['a']
xp_np[0] = predicate_to_index['r']
xo_np[0] = entity_to_index['a']
xs_np[1] = entity_to_index['a']
xp_np[1] = predicate_to_index['r']
xo_np[1] = entity_to_index['b']
xs_np[2] = entity_to_index['a']
xp_np[2] = predicate_to_index['r']
xo_np[2] = entity_to_index['c']
xs_np[3] = entity_to_index['a']
xp_np[3] = predicate_to_index['r']
xo_np[3] = entity_to_index['d']
xs_np[4] = entity_to_index['a']
xp_np[4] = predicate_to_index['r']
xo_np[4] = entity_to_index['e']
xs_np[5] = entity_to_index['a']
xp_np[5] = predicate_to_index['r']
xo_np[5] = entity_to_index['f']
xs = torch.from_numpy(xs_np)
xp = torch.from_numpy(xp_np)
xo = torch.from_numpy(xo_np)
xs_emb = entity_embeddings(xs)
xp_emb = predicate_embeddings(xp)
xo_emb = entity_embeddings(xo)
inf = unary.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf_np = inf.cpu().numpy()
print(inf_np)
np.testing.assert_allclose(inf_np, [1] * batch_size, rtol=1e-2, atol=1e-2)
@pytest.mark.light
def test_adv_v3():
embedding_size = 20
torch.manual_seed(0)
rs = np.random.RandomState(0)
triples = [
('a', 'p', 'b'),
('a', 'p', 'd'),
('c', 'p', 'd'),
('e', 'q', 'f'),
('f', 'p', 'c'),
('x', 'r', 'y')
]
entity_lst = sorted({e for (e, _, _) in triples} | {e for (_, _, e) in triples})
predicate_lst = sorted({p for (_, p, _) in triples})
nb_entities = len(entity_lst)
nb_predicates = len(predicate_lst)
entity_to_index = {e: i for i, e in enumerate(entity_lst)}
predicate_to_index = {p: i for i, p in enumerate(predicate_lst)}
with torch.no_grad():
kernel = GaussianKernel()
entity_embeddings = nn.Embedding(nb_entities, embedding_size * 2, sparse=True)
predicate_embeddings = nn.Embedding(nb_predicates, embedding_size * 2, sparse=True)
rel_emb = encode_relation(facts=triples,
relation_embeddings=predicate_embeddings,
relation_to_idx=predicate_to_index)
arg1_emb, arg2_emb = encode_arguments(facts=triples,
entity_embeddings=entity_embeddings,
entity_to_idx=entity_to_index)
batch_size = 6
fact_size = rel_emb.shape[0]
entity_size = entity_embeddings.weight.shape[0]
rel_emb = rel_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg1_emb = arg1_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg2_emb = arg2_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
nb_facts = torch.tensor([fact_size for _ in range(batch_size)], dtype=torch.long)
emb = entity_embeddings.weight.view(1, entity_size, -1).repeat(batch_size, 1, 1)
_nb_entities = torch.tensor([entity_size for _ in range(batch_size)], dtype=torch.long)
facts = [rel_emb, arg1_emb, arg2_emb]
model = BatchNeuralKB(kernel=kernel)
indices = torch.from_numpy(np.array([predicate_to_index['p']]))
reformulator = SymbolicReformulator(predicate_embeddings, indices)
unary = BatchUnary(model, hops_lst=[(reformulator, True)])
xs_np = rs.randint(nb_entities, size=batch_size)
xp_np = rs.randint(nb_predicates, size=batch_size)
xo_np = rs.randint(nb_entities, size=batch_size)
xs_np[0] = entity_to_index['a']
xp_np[0] = predicate_to_index['r']
xo_np[0] = entity_to_index['a']
xs_np[1] = entity_to_index['a']
xp_np[1] = predicate_to_index['r']
xo_np[1] = entity_to_index['b']
xs_np[2] = entity_to_index['a']
xp_np[2] = predicate_to_index['r']
xo_np[2] = entity_to_index['c']
xs_np[3] = entity_to_index['a']
xp_np[3] = predicate_to_index['r']
xo_np[3] = entity_to_index['d']
xs_np[4] = entity_to_index['a']
xp_np[4] = predicate_to_index['r']
xo_np[4] = entity_to_index['e']
xs_np[5] = entity_to_index['a']
xp_np[5] = predicate_to_index['r']
xo_np[5] = entity_to_index['f']
xs = torch.from_numpy(xs_np)
xp = torch.from_numpy(xp_np)
xo = torch.from_numpy(xo_np)
xs_emb = entity_embeddings(xs)
xp_emb = predicate_embeddings(xp)
xo_emb = entity_embeddings(xo)
inf = unary.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf_np = inf.cpu().numpy()
print(inf_np)
np.testing.assert_allclose(inf_np, [0] * batch_size, rtol=1e-2, atol=1e-2)
@pytest.mark.light
def test_adv_v4():
embedding_size = 20
torch.manual_seed(0)
rs = np.random.RandomState(0)
triples = [
('a', 'p', 'b'),
('a', 'p', 'd'),
('c', 'p', 'd'),
('e', 'q', 'f'),
('f', 'p', 'c'),
('x', 'r', 'y')
]
entity_lst = sorted({e for (e, _, _) in triples} | {e for (_, _, e) in triples})
predicate_lst = sorted({p for (_, p, _) in triples})
nb_entities = len(entity_lst)
nb_predicates = len(predicate_lst)
entity_to_index = {e: i for i, e in enumerate(entity_lst)}
predicate_to_index = {p: i for i, p in enumerate(predicate_lst)}
with torch.no_grad():
kernel = GaussianKernel()
entity_embeddings = nn.Embedding(nb_entities, embedding_size * 2, sparse=True)
predicate_embeddings = nn.Embedding(nb_predicates, embedding_size * 2, sparse=True)
rel_emb = encode_relation(facts=triples,
relation_embeddings=predicate_embeddings,
relation_to_idx=predicate_to_index)
arg1_emb, arg2_emb = encode_arguments(facts=triples,
entity_embeddings=entity_embeddings,
entity_to_idx=entity_to_index)
batch_size = 6
fact_size = rel_emb.shape[0]
entity_size = entity_embeddings.weight.shape[0]
rel_emb = rel_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg1_emb = arg1_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg2_emb = arg2_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
nb_facts = torch.tensor([fact_size for _ in range(batch_size)], dtype=torch.long)
emb = entity_embeddings.weight.view(1, entity_size, -1).repeat(batch_size, 1, 1)
_nb_entities = torch.tensor([entity_size for _ in range(batch_size)], dtype=torch.long)
facts = [rel_emb, arg1_emb, arg2_emb]
model = BatchNeuralKB(kernel=kernel)
indices = torch.from_numpy(np.array([predicate_to_index['p']]))
reformulator = SymbolicReformulator(predicate_embeddings, indices)
unary = BatchUnary(model, hops_lst=[(reformulator, False)])
xs_np = rs.randint(nb_entities, size=batch_size)
xp_np = rs.randint(nb_predicates, size=batch_size)
xo_np = rs.randint(nb_entities, size=batch_size)
xs_np[0] = entity_to_index['b']
xp_np[0] = predicate_to_index['r']
xo_np[0] = entity_to_index['a']
xs_np[1] = entity_to_index['b']
xp_np[1] = predicate_to_index['r']
xo_np[1] = entity_to_index['b']
xs_np[2] = entity_to_index['b']
xp_np[2] = predicate_to_index['r']
xo_np[2] = entity_to_index['c']
xs_np[3] = entity_to_index['b']
xp_np[3] = predicate_to_index['r']
xo_np[3] = entity_to_index['d']
xs_np[4] = entity_to_index['b']
xp_np[4] = predicate_to_index['r']
xo_np[4] = entity_to_index['e']
xs_np[5] = entity_to_index['b']
xp_np[5] = predicate_to_index['r']
xo_np[5] = entity_to_index['f']
xs = torch.from_numpy(xs_np)
xp = torch.from_numpy(xp_np)
xo = torch.from_numpy(xo_np)
xs_emb = entity_embeddings(xs)
xp_emb = predicate_embeddings(xp)
xo_emb = entity_embeddings(xo)
inf = unary.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf_np = inf.cpu().numpy()
print(inf_np)
np.testing.assert_allclose(inf_np, [0] * batch_size, rtol=1e-2, atol=1e-2)
@pytest.mark.light
def test_adv_v5():
embedding_size = 20
torch.manual_seed(0)
rs = np.random.RandomState(0)
triples = [
('a', 'p', 'b'),
('a', 'p', 'd'),
('c', 'p', 'd'),
('e', 'q', 'f'),
('f', 'p', 'c'),
('x', 'r', 'y')
]
entity_lst = sorted({e for (e, _, _) in triples} | {e for (_, _, e) in triples})
predicate_lst = sorted({p for (_, p, _) in triples})
nb_entities = len(entity_lst)
nb_predicates = len(predicate_lst)
entity_to_index = {e: i for i, e in enumerate(entity_lst)}
predicate_to_index = {p: i for i, p in enumerate(predicate_lst)}
with torch.no_grad():
kernel = GaussianKernel()
entity_embeddings = nn.Embedding(nb_entities, embedding_size * 2, sparse=True)
predicate_embeddings = nn.Embedding(nb_predicates, embedding_size * 2, sparse=True)
rel_emb = encode_relation(facts=triples,
relation_embeddings=predicate_embeddings,
relation_to_idx=predicate_to_index)
arg1_emb, arg2_emb = encode_arguments(facts=triples,
entity_embeddings=entity_embeddings,
entity_to_idx=entity_to_index)
batch_size = 6
fact_size = rel_emb.shape[0]
entity_size = entity_embeddings.weight.shape[0]
rel_emb = rel_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg1_emb = arg1_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
arg2_emb = arg2_emb.view(1, fact_size, -1).repeat(batch_size, 1, 1)
nb_facts = torch.tensor([fact_size for _ in range(batch_size)], dtype=torch.long)
emb = entity_embeddings.weight.view(1, entity_size, -1).repeat(batch_size, 1, 1)
_nb_entities = torch.tensor([entity_size for _ in range(batch_size)], dtype=torch.long)
facts = [rel_emb, arg1_emb, arg2_emb]
model = BatchNeuralKB(kernel=kernel)
indices = torch.from_numpy(np.array([predicate_to_index['p']]))
reformulator = SymbolicReformulator(predicate_embeddings, indices)
unary = BatchUnary(model, hops_lst=[(reformulator, True)])
xs_np = rs.randint(nb_entities, size=batch_size)
xp_np = rs.randint(nb_predicates, size=batch_size)
xo_np = rs.randint(nb_entities, size=batch_size)
xs_np[0] = entity_to_index['b']
xp_np[0] = predicate_to_index['r']
xo_np[0] = entity_to_index['a']
xs_np[1] = entity_to_index['b']
xp_np[1] = predicate_to_index['r']
xo_np[1] = entity_to_index['b']
xs_np[2] = entity_to_index['b']
xp_np[2] = predicate_to_index['r']
xo_np[2] = entity_to_index['c']
xs_np[3] = entity_to_index['b']
xp_np[3] = predicate_to_index['r']
xo_np[3] = entity_to_index['d']
xs_np[4] = entity_to_index['b']
xp_np[4] = predicate_to_index['r']
xo_np[4] = entity_to_index['e']
xs_np[5] = entity_to_index['b']
xp_np[5] = predicate_to_index['r']
xo_np[5] = entity_to_index['f']
xs = torch.from_numpy(xs_np)
xp = torch.from_numpy(xp_np)
xo = torch.from_numpy(xo_np)
xs_emb = entity_embeddings(xs)
xp_emb = predicate_embeddings(xp)
xo_emb = entity_embeddings(xo)
inf = unary.score(xp_emb, xs_emb, xo_emb, facts=facts, nb_facts=nb_facts,
entity_embeddings=emb, nb_entities=_nb_entities)
inf_np = inf.cpu().numpy()
print(inf_np)
np.testing.assert_allclose(inf_np, [1] * batch_size, rtol=1e-2, atol=1e-2)
if __name__ == '__main__':
pytest.main([__file__])
# test_adv_v2()
# test_adv_v3()
# test_adv_v4()
# test_adv_v5()
| 35.00638
| 103
| 0.591644
| 3,100
| 21,949
| 3.874516
| 0.052903
| 0.07285
| 0.082258
| 0.046707
| 0.923487
| 0.910748
| 0.892848
| 0.878195
| 0.878195
| 0.878195
| 0
| 0.024597
| 0.270217
| 21,949
| 626
| 104
| 35.0623
| 0.725247
| 0.003508
| 0
| 0.800448
| 0
| 0
| 0.011479
| 0
| 0
| 0
| 0
| 0
| 0.017937
| 1
| 0.015695
| false
| 0
| 0.020179
| 0
| 0.040359
| 0.011211
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| null | 0
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| 0
|
0
| 7
|
830c83090a7f19d6fb136c8e14250a6e4cb1cb49
| 122
|
py
|
Python
|
classification/serializers/__init__.py
|
JeffersonBC/eshop-index-back
|
66a11ad2ee86b9cd4dd49bcb34f676db3281153b
|
[
"MIT"
] | null | null | null |
classification/serializers/__init__.py
|
JeffersonBC/eshop-index-back
|
66a11ad2ee86b9cd4dd49bcb34f676db3281153b
|
[
"MIT"
] | null | null | null |
classification/serializers/__init__.py
|
JeffersonBC/eshop-index-back
|
66a11ad2ee86b9cd4dd49bcb34f676db3281153b
|
[
"MIT"
] | null | null | null |
from .recomendation import *
from .review import *
from .tag import *
from .tag_group import *
from .vote_review import *
| 20.333333
| 28
| 0.754098
| 17
| 122
| 5.294118
| 0.411765
| 0.444444
| 0.288889
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.163934
| 122
| 5
| 29
| 24.4
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 1
| 0
| 1
| 0
|
0
| 7
|
55cd4441c5c6f08bd441ae95507644bdbd8680fc
| 37,966
|
py
|
Python
|
src/genie/libs/parser/junos/tests/test_show_ted.py
|
filippohronsky/genieparser
|
85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df
|
[
"Apache-2.0"
] | 2
|
2021-01-27T03:37:39.000Z
|
2021-01-27T03:40:50.000Z
|
src/genie/libs/parser/junos/tests/test_show_ted.py
|
filippohronsky/genieparser
|
85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df
|
[
"Apache-2.0"
] | null | null | null |
src/genie/libs/parser/junos/tests/test_show_ted.py
|
filippohronsky/genieparser
|
85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df
|
[
"Apache-2.0"
] | null | null | null |
# Python
import unittest
from unittest.mock import Mock
# ATS
from pyats.topology import Device, loader
# Metaparser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
from genie.libs.parser.junos.show_ted import ShowTedDatabaseExtensive
'''
Unit tests for:
* 'show ted database extensive'
* 'show ted database extensive {node_id}'
'''
class test_show_ted_database(unittest.TestCase):
device = Device(name='aDevice')
empty_output = {'execute.return_value': ''}
golden_output = {'execute.return_value': '''
show ted database extensive
TED database: 0 ISIS nodes 6 INET nodes
NodeID: 10.4.1.1
Type: Rtr, Age: 1024 secs, LinkIn: 0, LinkOut: 1
Protocol: OSPF(0.0.0.4)
To: 172.16.1.1, Local: 10.4.0.2, Remote: 10.4.0.1
Local interface index: 0, Remote interface index: 0
Color: 0 <none>
Metric: 1
Static BW: 2000Mbps
Reservable BW: 0bps
Available BW [priority] bps:
[0] 10bps [1] 10bps [2] 0bps [3] 0bps
[4] 10bps [5] 0bps [6] 0bps [7] 0bps
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 0bps [1] 0bps [2] 0bps [3] 0bps
[4] 0bps [5] 0bps [6] 0bps [7] 0bps
P2P Adjacency-SID:
IPV4, SID: 12345, Flags: 0x24, Weight: 0
Prefixes:
10.4.1.1/32
Flags: 0x60
Prefix-SID:
SID: 1234, Flags: 0x00, Algo: 0
SPRING-Capabilities:
SRGB block [Start: 12000, Range: 3000, Flags: 0x00]
SPRING-Algorithms:
Algo: 0
Algo: 1
NodeID: 10.16.2.2-1
Type: Net, Age: 1024 secs, LinkIn: 0, LinkOut: 2
Protocol: OSPF(0.0.0.4)
To: 10.16.2.34, Local: 0.0.0.0, Remote: 0.0.0.0
Local interface index: 0, Remote interface index: 0
Metric: 0
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 0bps [1] 0bps [2] 0bps [3] 0bps
[4] 0bps [5] 0bps [6] 1000bps [7] 0bps
To: 10.16.2.42, Local: 0.0.0.0, Remote: 0.0.0.0
Local interface index: 0, Remote interface index: 0
Metric: 0
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 0bps [1] 0bps [2] 0bps [3] 0bps
[4] 0bps [5] 0bps [6] 0bps [7] 0bps
NodeID: 172.16.1.4-1
Type: Net, Age: 2048 secs, LinkIn: 0, LinkOut: 2
Protocol: OSPF(0.0.0.4)
To: 172.16.85.48, Local: 0.0.0.0, Remote: 0.0.0.0
Local interface index: 0, Remote interface index: 0
Metric: 0
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 0bps [1] 0bps [2] 0bps [3] 0bps
[4] 0bps [5] 0bps [6] 0bps [7] 0bps
To: 172.16.85.52, Local: 0.0.0.0, Remote: 0.0.0.0
Local interface index: 0, Remote interface index: 0
Metric: 0
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 0bps [1] 0bps [2] 0bps [3] 0bps
[4] 0bps [5] 0bps [6] 0bps [7] 0bps
NodeID: 10.36.3.3
Type: ---, Age: 3440 secs, LinkIn: 1, LinkOut: 0
NodeID: 10.64.4.4
Type: ---, Age: 2560 secs, LinkIn: 1, LinkOut: 0
'''}
golden_parsed_output = {
'isis_nodes': 0,
'inet_nodes': 6,
'node': {
'10.4.1.1': {
'type': 'Rtr',
'age': 1024,
'link_in': 0,
'link_out': 1,
'protocol': {
'OSPF(0.0.0.4)': {
'to': {
'172.16.1.1': {
'local': {
'10.4.0.2': {
'remote': {
'10.4.0.1': {
'local_interface_index': 0,
'remote_interface_index': 0,
'color': '0 <none>',
'metric': 1,
'static_bw': '2000Mbps',
'reservable_bw': '0bps',
'available_bw': {
0: {
'bw': '10bps'
},
1: {
'bw': '10bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '10bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '0bps'
},
7: {
'bw': '0bps'
}
},
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '0bps'
},
1: {
'bw': '0bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '0bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '0bps'
},
7: {
'bw': '0bps'
}
}
}
},
'p2p_adj_sid': {
'sid': {
'12345': {
'address_family': 'IPV4',
'flags': '0x24',
'weight': 0
}
}
}
}
}
}
}
}
},
'prefixes': {
'10.4.1.1/32': {
'flags': '0x60',
'prefix_sid': {
1234: {
'flags': '0x00',
'algo': 0
}
}
}
},
'spring_capabilities': {
'srgb_block': {
'start': 12000,
'range': 3000,
'flags': '0x00'
}
},
'spring_algorithms': ['0', '1']
}
}
},
'10.16.2.2-1': {
'type': 'Net',
'age': 1024,
'link_in': 0,
'link_out': 2,
'protocol': {
'OSPF(0.0.0.4)': {
'to': {
'10.16.2.34': {
'local': {
'0.0.0.0': {
'remote': {
'0.0.0.0': {
'local_interface_index': 0,
'remote_interface_index': 0,
'metric': 0,
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '0bps'
},
1: {
'bw': '0bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '0bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '1000bps'
},
7: {
'bw': '0bps'
}
}
}
}
}
}
}
}
},
'10.16.2.42': {
'local': {
'0.0.0.0': {
'remote': {
'0.0.0.0': {
'local_interface_index': 0,
'remote_interface_index': 0,
'metric': 0,
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '0bps'
},
1: {
'bw': '0bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '0bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '0bps'
},
7: {
'bw': '0bps'
}
}
}
}
}
}
}
}
}
}
}
}
},
'172.16.1.4-1': {
'type': 'Net',
'age': 2048,
'link_in': 0,
'link_out': 2,
'protocol': {
'OSPF(0.0.0.4)': {
'to': {
'172.16.85.48': {
'local': {
'0.0.0.0': {
'remote': {
'0.0.0.0': {
'local_interface_index': 0,
'remote_interface_index': 0,
'metric': 0,
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '0bps'
},
1: {
'bw': '0bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '0bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '0bps'
},
7: {
'bw': '0bps'
}
}
}
}
}
}
}
}
},
'172.16.85.52': {
'local': {
'0.0.0.0': {
'remote': {
'0.0.0.0': {
'local_interface_index': 0,
'remote_interface_index': 0,
'metric': 0,
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '0bps'
},
1: {
'bw': '0bps'
},
2: {
'bw': '0bps'
},
3: {
'bw': '0bps'
},
4: {
'bw': '0bps'
},
5: {
'bw': '0bps'
},
6: {
'bw': '0bps'
},
7: {
'bw': '0bps'
}
}
}
}
}
}
}
}
}
}
}
}
},
'10.36.3.3': {
'type': '---',
'age': 3440,
'link_in': 1,
'link_out': 0
},
'10.64.4.4': {
'type': '---',
'age': 2560,
'link_in': 1,
'link_out': 0
}
}
}
golden_output_node_id = {'execute.return_value': '''
show ted database extensive 10.4.1.1
TED database: 0 ISIS nodes 13 INET nodes
NodeID: 10.4.1.1
Type: Rtr, Age: 2048 secs, LinkIn: 6, LinkOut: 2
Protocol: OSPF(0.0.0.4)
To: 172.16.1.1, Local: 172.16.1.2, Remote: 172.16.1.3
Local interface index: 123, Remote interface index: 0
Color: 0 <none>
Metric: 4
Static BW: 500Mbps
Reservable BW: 500Mbps
Available BW [priority] bps:
[0] 500Mbps [1] 500Mbps [2] 500Mbps [3] 500Mbps
[4] 500Mbps [5] 500Mbps [6] 500Mbps [7] 500Mbps
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 500Mbps [1] 500Mbps [2] 500Mbps [3] 500Mbps
[4] 500Mbps [5] 500Mbps [6] 500Mbps [7] 500Mbps
P2P Adjacency-SID:
IPV4, SID: 8, Flags: 0x35, Weight: 0
To: 172.16.1.4, Local: 172.16.1.5, Remote: 172.16.1.6
Local interface index: 456, Remote interface index: 0
Color: 0x2 blue
Metric: 350
Static BW: 500Mbps
Reservable BW: 500Mbps
Available BW [priority] bps:
[0] 500Mbps [1] 500Mbps [2] 500Mbps [3] 500Mbps
[4] 500Mbps [5] 500Mbps [6] 500Mbps [7] 500Mbps
Interface Switching Capability Descriptor(1):
Switching type: Packet
Encoding type: Packet
Maximum LSP BW [priority] bps:
[0] 500Mbps [1] 500Mbps [2] 500Mbps [3] 500Mbps
[4] 500Mbps [5] 500Mbps [6] 500Mbps [7] 500Mbps
P2P Adjacency-SID:
IPV4, SID: 39, Flags: 0x40, Weight: 0
Prefixes:
192.168.0.1/32
Flags: 0x30
Prefix-SID:
SID: 42, Flags: 0x00, Algo: 0
SPRING-Capabilities:
SRGB block [Start: 8000, Range: 6000, Flags: 0x00]
SPRING-Algorithms:
Algo: 0
'''}
golden_parsed_output_node_id = {
'isis_nodes': 0,
'inet_nodes': 13,
'node': {
'10.4.1.1': {
'type': 'Rtr',
'age': 2048,
'link_in': 6,
'link_out': 2,
'protocol': {
'OSPF(0.0.0.4)': {
'to': {
'172.16.1.1': {
'local': {
'172.16.1.2': {
'remote': {
'172.16.1.3': {
'local_interface_index': 123,
'remote_interface_index': 0,
'color': '0 <none>',
'metric': 4,
'static_bw': '500Mbps',
'reservable_bw': '500Mbps',
'available_bw': {
0: {
'bw': '500Mbps'
},
1: {
'bw': '500Mbps'
},
2: {
'bw': '500Mbps'
},
3: {
'bw': '500Mbps'
},
4: {
'bw': '500Mbps'
},
5: {
'bw': '500Mbps'
},
6: {
'bw': '500Mbps'
},
7: {
'bw': '500Mbps'
}
},
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '500Mbps'
},
1: {
'bw': '500Mbps'
},
2: {
'bw': '500Mbps'
},
3: {
'bw': '500Mbps'
},
4: {
'bw': '500Mbps'
},
5: {
'bw': '500Mbps'
},
6: {
'bw': '500Mbps'
},
7: {
'bw': '500Mbps'
}
}
}
},
'p2p_adj_sid': {
'sid': {
'8': {
'address_family': 'IPV4',
'flags': '0x35',
'weight': 0
}
}
}
}
}
}
}
},
'172.16.1.4': {
'local': {
'172.16.1.5': {
'remote': {
'172.16.1.6': {
'local_interface_index': 456,
'remote_interface_index': 0,
'color': '0x2 blue',
'metric': 350,
'static_bw': '500Mbps',
'reservable_bw': '500Mbps',
'available_bw': {
0: {
'bw': '500Mbps'
},
1: {
'bw': '500Mbps'
},
2: {
'bw': '500Mbps'
},
3: {
'bw': '500Mbps'
},
4: {
'bw': '500Mbps'
},
5: {
'bw': '500Mbps'
},
6: {
'bw': '500Mbps'
},
7: {
'bw': '500Mbps'
}
},
'interface_switching_capability_descriptor': {
'1': {
'switching_type': 'Packet',
'encoding_type': 'Packet',
'maximum_lsp_bw': {
0: {
'bw': '500Mbps'
},
1: {
'bw': '500Mbps'
},
2: {
'bw': '500Mbps'
},
3: {
'bw': '500Mbps'
},
4: {
'bw': '500Mbps'
},
5: {
'bw': '500Mbps'
},
6: {
'bw': '500Mbps'
},
7: {
'bw': '500Mbps'
}
}
}
},
'p2p_adj_sid': {
'sid': {
'39': {
'address_family': 'IPV4',
'flags': '0x40',
'weight': 0
}
}
}
}
}
}
}
}
},
'prefixes': {
'192.168.0.1/32': {
'flags': '0x30',
'prefix_sid': {
42: {
'flags': '0x00',
'algo': 0
}
}
}
},
'spring_capabilities': {
'srgb_block': {
'start': 8000,
'range': 6000,
'flags': '0x00'
}
},
'spring_algorithms': ['0']
}
}
}
}
}
def test_show_ted_database_extensive_empty(self):
self.device = Mock(**self.empty_output)
obj = ShowTedDatabaseExtensive(device=self.device)
with self.assertRaises(SchemaEmptyParserError):
obj.parse()
def test_show_ted_database_extensive(self):
self.device = Mock(**self.golden_output)
obj = ShowTedDatabaseExtensive(device=self.device)
parsed_output = obj.parse()
self.assertEqual(parsed_output, self.golden_parsed_output)
def test_show_ted_database_extensive_node_id(self):
self.device = Mock(**self.golden_output_node_id)
obj = ShowTedDatabaseExtensive(device=self.device)
parsed_output = obj.parse(node_id='10.34.2.250')
self.assertEqual(parsed_output, self.golden_parsed_output_node_id)
if __name__ == '__main__':
unittest.main()
| 52.877437
| 94
| 0.176763
| 1,655
| 37,966
| 3.948036
| 0.09426
| 0.01959
| 0.018365
| 0.009795
| 0.889654
| 0.856443
| 0.818641
| 0.782828
| 0.756964
| 0.722681
| 0
| 0.129553
| 0.757046
| 37,966
| 717
| 95
| 52.951186
| 0.578816
| 0.000553
| 0
| 0.567723
| 0
| 0.010086
| 0.22957
| 0.015541
| 0
| 0
| 0.002062
| 0
| 0.004323
| 1
| 0.004323
| false
| 0
| 0.007205
| 0
| 0.021614
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
55d1537397d72a9d4f1e8ac21dbeb50a28496c64
| 6,722
|
py
|
Python
|
Road_Network_POMDPX/pre_defined_road_nets.py
|
COHRINT/self_confidence
|
d347b6994ed295f109db989374385b508880009b
|
[
"MIT"
] | null | null | null |
Road_Network_POMDPX/pre_defined_road_nets.py
|
COHRINT/self_confidence
|
d347b6994ed295f109db989374385b508880009b
|
[
"MIT"
] | null | null | null |
Road_Network_POMDPX/pre_defined_road_nets.py
|
COHRINT/self_confidence
|
d347b6994ed295f109db989374385b508880009b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
import networkx as nx
"""Functions to produce various road networks
"""
__author__ = "Brett Israelsen"
__copyright__ = "Copyright 2016, Cohrint"
__credits__ = ["Brett Israelsen"]
__license__ = "MIT"
__version__ = "0.1.0"
__maintainer__ = "Brett Israelsen"
__email__ = "brett.israelsen@colorado.edu"
__status__ = "Development"
def test_roadnetwork():
rn = nx.Graph(name='roadnetwork')
rn.add_edge(1, 2, weight=5)
rn.add_edge(1, 10, weight=5)
rn.add_edge(2, 3, weight=5)
rn.add_edge(2, 9, weight=5)
rn.add_edge(3, 4, weight=5)
rn.add_edge(4, 5, weight=5)
rn.add_edge(4, 7, weight=5)
rn.add_edge(5, 6, weight=5)
rn.add_edge(6, 7, weight=5)
rn.add_edge(6, 8, weight=5)
rn.add_edge(7, 8, weight=5)
rn.add_edge(7, 11, weight=5)
rn.add_edge(8, 12, weight=5)
rn.add_edge(8, 13, weight=5)
rn.add_edge(9, 10, weight=5)
rn.add_edge(9, 11, weight=5)
rn.add_edge(10, 12, weight=5)
rn.add_edge(11, 12, weight=5)
rn.add_edge(12, 13, weight=5)
rn.node[13]['feature'] = 'exit'
rn.node[1]['feature'] = 'sensor'
rn.node[3]['feature'] = 'sensor'
rn.node[5]['feature'] = 'sensor'
rn.node[6]['feature'] = 'sensor'
rn.node[7]['feature'] = 'sensor'
rn.node[8]['feature'] = 'sensor'
rn.node[9]['feature'] = 'sensor'
rn.node[10]['feature'] = 'sensor'
rn.node[12]['feature'] = 'sensor'
def mapping(x):
return str(x)
rn = nx.relabel_nodes(rn, mapping)
return rn
def roadnet1(edglen=1):
rn = nx.Graph(name='roadnetwork')
rn.add_edge(1, 2)
rn.add_edge(1, 10)
rn.add_edge(2, 3)
rn.add_edge(2, 9)
rn.add_edge(3, 4)
rn.add_edge(4, 5)
rn.add_edge(4, 7)
rn.add_edge(5, 6)
rn.add_edge(6, 7)
rn.add_edge(6, 8)
rn.add_edge(7, 8)
rn.add_edge(7, 11)
rn.add_edge(8, 12)
rn.add_edge(8, 13)
rn.add_edge(9, 10)
rn.add_edge(9, 11)
rn.add_edge(10, 12)
rn.add_edge(11, 12)
rn.add_edge(12, 13)
rn.node[13]['feature'] = 'exit'
rn.node[1]['feature'] = 'sensor'
rn.node[3]['feature'] = 'sensor'
rn.node[5]['feature'] = 'sensor'
rn.node[6]['feature'] = 'sensor'
rn.node[7]['feature'] = 'sensor'
rn.node[8]['feature'] = 'sensor'
rn.node[9]['feature'] = 'sensor'
rn.node[10]['feature'] = 'sensor'
rn.node[12]['feature'] = 'sensor'
# Add some edge attributes
for e in rn.edge.keys():
for edg in rn.edge[e]:
# Edge lengths
rn.edge[e][edg]['len'] = str(edglen)
# Edge appearance
rn.edge[e][edg]['penwidth'] = '20'
# Add some node attributes
for n in rn.nodes_iter():
# Node shape
rn.node[n]['shape'] = 'circle'
rn.node[n]['fixedsize'] = 'true'
rn.node[n]['width'] = '0.7'
rn.node[n]['height'] = '0.7'
# Node appearance
rn.node[n]['style'] = 'filled'
rn.node[n]['label'] = ''
if rn.node[n].get('feature') is 'sensor':
rn.node[n]['color'] = 'red'
rn.node[n]['fillcolor'] = 'red'
elif rn.node[n].get('feature') is 'exit':
rn.node[n]['color'] = 'green'
rn.node[n]['fillcolor'] = 'green'
else:
rn.node[n]['color'] = 'black'
rn.node[n]['fillcolor'] = 'black'
def mapping(x):
return str(x)
rn = nx.relabel_nodes(rn, mapping)
return rn
def roadnet1_blk(edglen=1):
rn = nx.Graph(name='roadnetwork')
# rn.graph['bgcolor'] = 'black'
rn.add_edge(1, 2)
rn.add_edge(1, 10)
rn.add_edge(2, 3)
rn.add_edge(2, 9)
rn.add_edge(3, 4)
rn.add_edge(4, 5)
rn.add_edge(4, 7)
rn.add_edge(5, 6)
rn.add_edge(6, 7)
rn.add_edge(6, 8)
rn.add_edge(7, 8)
rn.add_edge(7, 11)
rn.add_edge(8, 12)
rn.add_edge(8, 13)
rn.add_edge(9, 10)
rn.add_edge(9, 11)
rn.add_edge(10, 12)
rn.add_edge(11, 12)
rn.add_edge(12, 13)
rn.node[13]['feature'] = 'exit'
rn.node[1]['feature'] = 'sensor'
rn.node[3]['feature'] = 'sensor'
rn.node[5]['feature'] = 'sensor'
rn.node[6]['feature'] = 'sensor'
rn.node[7]['feature'] = 'sensor'
rn.node[8]['feature'] = 'sensor'
rn.node[9]['feature'] = 'sensor'
rn.node[10]['feature'] = 'sensor'
rn.node[12]['feature'] = 'sensor'
# Add some edge attributes
for e in rn.edge.keys():
for edg in rn.edge[e]:
# Edge lengths
rn.edge[e][edg]['len'] = str(edglen)
# Edge appearance
rn.edge[e][edg]['penwidth'] = '25'
# Add some node attributes
for n in rn.nodes_iter():
# Node shape
rn.node[n]['shape'] = 'circle'
rn.node[n]['fixedsize'] = 'true'
# Changes to make node bigger and fit better with penwidth=25
rn.node[n]['width'] = '1.0'
rn.node[n]['height'] = '1.0'
# Node appearance
#Comment next two lines to reveal numbered nodes
rn.node[n]['style'] = 'filled'
rn.node[n]['label'] = ''
if rn.node[n].get('feature') is 'sensor':
rn.node[n]['color'] = 'black'
rn.node[n]['fillcolor'] = 'black'
elif rn.node[n].get('feature') is 'exit':
rn.node[n]['color'] = 'black'
rn.node[n]['fillcolor'] = 'black'
else:
rn.node[n]['feature'] = 'none'
rn.node[n]['color'] = 'black'
rn.node[n]['fillcolor'] = 'black'
def mapping(x):
return str(x)
rn = nx.relabel_nodes(rn, mapping)
return rn
def roadnet2(edglen=1):
rn = nx.Graph(name='roadnetwork')
rn.add_edge(1, 2)
rn.add_edge(1, 10)
rn.add_edge(2, 3)
rn.add_edge(2, 9)
# Add some edge attributes
for e in rn.edge.keys():
for edg in rn.edge[e]:
# Edge lengths
rn.edge[e][edg]['len'] = str(edglen)
# Edge appearance
rn.edge[e][edg]['penwidth'] = '5'
# Add some node attributes
for n in rn.nodes_iter():
# Node shape
rn.node[n]['shape'] = 'circle'
rn.node[n]['fixedsize'] = 'true'
rn.node[n]['width'] = '0.3'
# Node appearance
rn.node[n]['style'] = 'filled'
rn.node[n]['label'] = ''
if rn.node[n].get('feature') is 'sensor':
rn.node[n]['color'] = 'red'
rn.node[n]['fillcolor'] = 'red'
elif rn.node[n].get('feature') is 'exit':
rn.node[n]['color'] = 'green'
rn.node[n]['fillcolor'] = 'green'
else:
rn.node[n]['color'] = 'black'
rn.node[n]['fillcolor'] = 'black'
def mapping(x):
return str(x)
rn = nx.relabel_nodes(rn, mapping)
return rn
| 27.54918
| 69
| 0.537489
| 1,022
| 6,722
| 3.435421
| 0.113503
| 0.123042
| 0.156366
| 0.129878
| 0.868983
| 0.854742
| 0.783537
| 0.773284
| 0.763885
| 0.763885
| 0
| 0.050449
| 0.271645
| 6,722
| 243
| 70
| 27.662551
| 0.666667
| 0.070663
| 0
| 0.777174
| 0
| 0
| 0.167449
| 0.004534
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043478
| false
| 0
| 0.005435
| 0.021739
| 0.092391
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
36110ca456e5ca5d95f86de70d05d367162213ce
| 3,945
|
py
|
Python
|
Algo and DSA/LeetCode-Solutions-master/Python/cat-and-mouse.py
|
Sourav692/FAANG-Interview-Preparation
|
f523e5c94d582328b3edc449ea16ac6ab28cdc81
|
[
"Unlicense"
] | 3,269
|
2018-10-12T01:29:40.000Z
|
2022-03-31T17:58:41.000Z
|
Algo and DSA/LeetCode-Solutions-master/Python/cat-and-mouse.py
|
Sourav692/FAANG-Interview-Preparation
|
f523e5c94d582328b3edc449ea16ac6ab28cdc81
|
[
"Unlicense"
] | 53
|
2018-12-16T22:54:20.000Z
|
2022-02-25T08:31:20.000Z
|
Algo and DSA/LeetCode-Solutions-master/Python/cat-and-mouse.py
|
Sourav692/FAANG-Interview-Preparation
|
f523e5c94d582328b3edc449ea16ac6ab28cdc81
|
[
"Unlicense"
] | 1,236
|
2018-10-12T02:51:40.000Z
|
2022-03-30T13:30:37.000Z
|
# Time: O(n^3)
# Space: O(n^2)
import collections
class Solution(object):
def catMouseGame(self, graph):
"""
:type graph: List[List[int]]
:rtype: int
"""
HOLE, MOUSE_START, CAT_START = range(3)
DRAW, MOUSE, CAT = range(3)
def parents(m, c, t):
if t == CAT:
for nm in graph[m]:
yield nm, c, MOUSE^CAT^t
else:
for nc in graph[c]:
if nc != HOLE:
yield m, nc, MOUSE^CAT^t
degree = {}
ignore = set(graph[HOLE])
for m in xrange(len(graph)):
for c in xrange(len(graph)):
degree[m, c, MOUSE] = len(graph[m])
degree[m, c, CAT] = len(graph[c])-(c in ignore)
color = collections.defaultdict(int)
q = collections.deque()
for i in xrange(len(graph)):
if i == HOLE:
continue
color[HOLE, i, CAT] = MOUSE
q.append((HOLE, i, CAT, MOUSE))
for t in [MOUSE, CAT]:
color[i, i, t] = CAT
q.append((i, i, t, CAT))
while q:
i, j, t, c = q.popleft()
for ni, nj, nt in parents(i, j, t):
if color[ni, nj, nt] != DRAW:
continue
if nt == c:
color[ni, nj, nt] = c
q.append((ni, nj, nt, c))
continue
degree[ni, nj, nt] -= 1
if not degree[ni, nj, nt]:
color[ni, nj, nt] = c
q.append((ni, nj, nt, c))
return color[MOUSE_START, CAT_START, MOUSE]
# Time: O(n^3)
# Space: O(n^2)
import collections
class Solution2(object):
def catMouseGame(self, graph):
"""
:type graph: List[List[int]]
:rtype: int
"""
HOLE, MOUSE_START, CAT_START = range(3)
DRAW, MOUSE, CAT = range(3)
def parents(m, c, t):
if t == CAT:
for nm in graph[m]:
yield nm, c, MOUSE^CAT^t
else:
for nc in graph[c]:
if nc != HOLE:
yield m, nc, MOUSE^CAT^t
color = collections.defaultdict(int)
degree = {}
ignore = set(graph[HOLE])
for m in xrange(len(graph)):
for c in xrange(len(graph)):
degree[m, c, MOUSE] = len(graph[m])
degree[m, c, CAT] = len(graph[c])-(c in ignore)
q1 = collections.deque()
q2 = collections.deque()
for i in xrange(len(graph)):
if i == HOLE:
continue
color[HOLE, i, CAT] = MOUSE
q1.append((HOLE, i, CAT))
for t in [MOUSE, CAT]:
color[i, i, t] = CAT
q2.append((i, i, t))
while q1:
i, j, t = q1.popleft()
for ni, nj, nt in parents(i, j, t):
if color[ni, nj, nt] != DRAW:
continue
if t == CAT:
color[ni, nj, nt] = MOUSE
q1.append((ni, nj, nt))
continue
degree[ni, nj, nt] -= 1
if not degree[ni, nj, nt]:
color[ni, nj, nt] = MOUSE
q1.append((ni, nj, nt))
while q2:
i, j, t = q2.popleft()
for ni, nj, nt in parents(i, j, t):
if color[ni, nj, nt] != DRAW:
continue
if t == MOUSE:
color[ni, nj, nt] = CAT
q2.append((ni, nj, nt))
continue
degree[ni, nj, nt] -= 1
if not degree[ni, nj, nt]:
color[ni, nj, nt] = CAT
q2.append((ni, nj, nt))
return color[MOUSE_START, CAT_START, MOUSE]
| 32.336066
| 63
| 0.408365
| 488
| 3,945
| 3.284836
| 0.122951
| 0.059888
| 0.089832
| 0.061759
| 0.872739
| 0.872739
| 0.872739
| 0.830318
| 0.830318
| 0.830318
| 0
| 0.011401
| 0.466413
| 3,945
| 121
| 64
| 32.603306
| 0.750119
| 0.034981
| 0
| 0.83
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.04
| false
| 0
| 0.02
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
36419a8880755564142fd031d76b59b1d9d4c31f
| 285
|
py
|
Python
|
tests/parser/wellfounded.15.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/wellfounded.15.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/wellfounded.15.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
input = """
% test skip of Propagate_DeriveSingleUndefinedPosBodyLiteral()
a :- b.
b :- a.
a | b.
-a :- not a.
-b :- not b.
"""
output = """
% test skip of Propagate_DeriveSingleUndefinedPosBodyLiteral()
a :- b.
b :- a.
a | b.
-a :- not a.
-b :- not b.
"""
| 11.4
| 63
| 0.536842
| 36
| 285
| 4.194444
| 0.277778
| 0.07947
| 0.13245
| 0.251656
| 0.927152
| 0.927152
| 0.927152
| 0.927152
| 0.927152
| 0.927152
| 0
| 0
| 0.280702
| 285
| 24
| 64
| 11.875
| 0.736585
| 0
| 0
| 0.875
| 0
| 0
| 0.883019
| 0.354717
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
3648bdc482c13e8bf74c68cc6988ac34168bddfb
| 1,545
|
py
|
Python
|
src/simsearch/app/testing/test_front_end.py
|
dovydas96/CA400-FinalYear-Project
|
d277c73b6da64b0325082a559bbf6b91bfb816c0
|
[
"MIT"
] | null | null | null |
src/simsearch/app/testing/test_front_end.py
|
dovydas96/CA400-FinalYear-Project
|
d277c73b6da64b0325082a559bbf6b91bfb816c0
|
[
"MIT"
] | 6
|
2021-03-19T01:02:50.000Z
|
2022-03-11T23:49:06.000Z
|
src/simsearch/app/testing/test_front_end.py
|
dovydas96/CA400-FinalYear-Project
|
d277c73b6da64b0325082a559bbf6b91bfb816c0
|
[
"MIT"
] | null | null | null |
# import time
# import os
#
#
# def test_frontend_buttons_and_functions(webdriver):
#
# webdriver.get('http://127.0.0.1:5000/register')
# webdriver.find_element_by_id("username").send_keys('test1')
# webdriver.find_element_by_id("email").send_keys('test1@example.com')
# webdriver.cu
# webdriver.find_element_by_id("password").send_keys('test1')
# webdriver.find_element_by_id("password2").send_keys('test1')
# webdriver.find_element_by_id("submit").click()
# time.sleep(1)
# webdriver.find_element_by_id("username").send_keys('test1')
# webdriver.find_element_by_id("password").send_keys('test1')
# webdriver.find_element_by_id("submit").click()
# time.sleep(1)
# webdriver.find_element_by_id("logout").click()
# time.sleep(1)
# webdriver.find_element_by_id("username").send_keys('test1')
# webdriver.find_element_by_id("password").send_keys('test1')
# webdriver.find_element_by_id("submit").click()
# webdriver.find_element_by_id("upload").send_keys(os.getcwd()+"/app/testing/test.jpeg")
# webdriver.find_element_by_id("submit").click()
# time.sleep(1)
# webdriver.find_element_by_id("upvote").click()
# time.sleep(1)
# webdriver.find_element_by_id("profile").click()
# webdriver.find_element_by_id("search").click()
# webdriver.find_element_by_id("downvote").click()
# time.sleep(1)
# webdriver.find_element_by_id("profile").click()
# webdriver.find_element_by_id("delete_account").click()
# time.sleep(1)
# time.sleep(1)
| 41.756757
| 92
| 0.704207
| 212
| 1,545
| 4.783019
| 0.216981
| 0.25641
| 0.394477
| 0.433925
| 0.75641
| 0.75641
| 0.704142
| 0.704142
| 0.704142
| 0.704142
| 0
| 0.019956
| 0.124272
| 1,545
| 36
| 93
| 42.916667
| 0.72949
| 0.952751
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
364d1b77b098ab242f342e6679518b613b13d5e5
| 17,167
|
py
|
Python
|
src/TheLanguage/Lexer/Components/UnitTests/NormalizedIterator_UnitTest.py
|
davidbrownell/DavidBrownell_TheLanguage
|
07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98
|
[
"BSL-1.0"
] | null | null | null |
src/TheLanguage/Lexer/Components/UnitTests/NormalizedIterator_UnitTest.py
|
davidbrownell/DavidBrownell_TheLanguage
|
07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98
|
[
"BSL-1.0"
] | null | null | null |
src/TheLanguage/Lexer/Components/UnitTests/NormalizedIterator_UnitTest.py
|
davidbrownell/DavidBrownell_TheLanguage
|
07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98
|
[
"BSL-1.0"
] | 1
|
2021-06-18T18:58:57.000Z
|
2021-06-18T18:58:57.000Z
|
# ----------------------------------------------------------------------
# |
# | NormalizedIterator_UnitTest.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2021-09-23 18:06:51
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2021
# | Distributed under the Boost Software License, Version 1.0. See
# | accompanying file LICENSE_1_0.txt or copy at
# | http://www.boost.org/LICENSE_1_0.txt.
# |
# ----------------------------------------------------------------------
"""Unit test for NromalizedIterator.py"""
import os
import textwrap
import pytest
import CommonEnvironment
from CommonEnvironment.CallOnExit import CallOnExit
from CommonEnvironmentEx.Package import InitRelativeImports
# ----------------------------------------------------------------------
_script_fullpath = CommonEnvironment.ThisFullpath()
_script_dir, _script_name = os.path.split(_script_fullpath)
# ----------------------------------------------------------------------
with InitRelativeImports():
from ..NormalizedIterator import *
from ..Normalize import Normalize
# ----------------------------------------------------------------------
def test_Standard():
iter = NormalizedIterator.FromNormalizedContent(
Normalize(
textwrap.dedent(
"""\
1
22
333
4444
55555
666666
""",
),
),
)
# First line
assert iter.LineInfo.NumDedents is None
assert iter.LineInfo.NewIndentationValue is None
assert iter.Offset == 0
assert iter.LineInfo == iter.LineInfos[0]
assert iter.Content[iter.Offset] == "1"
assert iter.Line == 1
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(1)
assert iter.Offset == 1
assert iter.LineInfo == iter.LineInfos[0]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 1
assert iter.Column == 2
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Second line
assert iter.LineInfo.NumDedents is None
assert iter.LineInfo.NewIndentationValue == 4
assert iter.Offset == 2
assert iter.LineInfo == iter.LineInfos[1]
assert iter.Content[iter.Offset : iter.Offset + 4] == " "
assert iter.Line == 2
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Indent
iter.SkipWhitespacePrefix()
assert iter.Offset == 6
assert iter.LineInfo == iter.LineInfos[1]
assert iter.Content[iter.Offset : iter.Offset + 2] == "22"
assert iter.Line == 2
assert iter.Column == 5
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(2)
assert iter.Offset == 8
assert iter.LineInfo == iter.LineInfos[1]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 2
assert iter.Column == 7
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Third line
assert iter.LineInfo.NumDedents is None
assert iter.LineInfo.NewIndentationValue == 8
assert iter.Offset == 9
assert iter.LineInfo == iter.LineInfos[2]
assert iter.Content[iter.Offset : iter.Offset + 8] == " "
assert iter.Line == 3
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Indent
iter.SkipWhitespacePrefix()
assert iter.Offset == 17
assert iter.LineInfo == iter.LineInfos[2]
assert iter.Content[iter.Offset : iter.Offset + 3] == "333"
assert iter.Line == 3
assert iter.Column == 9
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(3)
assert iter.Offset == 20
assert iter.LineInfo == iter.LineInfos[2]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 3
assert iter.Column == 12
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Fourth line
assert iter.LineInfo.NumDedents == 1
assert iter.LineInfo.NewIndentationValue is None
assert iter.Offset == 21
assert iter.LineInfo == iter.LineInfos[3]
assert iter.Content[iter.Offset : iter.Offset + 4] == " "
assert iter.Line == 4
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Dedent
iter.ConsumeDedent()
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.WhitespacePrefix
iter.SkipWhitespacePrefix()
assert iter.Offset == 25
assert iter.LineInfo == iter.LineInfos[3]
assert iter.Content[iter.Offset : iter.Offset + 4] == "4444"
assert iter.Line == 4
assert iter.Column == 5
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(4)
assert iter.Offset == 29
assert iter.LineInfo == iter.LineInfos[3]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 4
assert iter.Column == 9
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Fifth line
assert iter.LineInfo.NumDedents is None
assert iter.LineInfo.NewIndentationValue == 8
assert iter.Offset == 30
assert iter.LineInfo == iter.LineInfos[4]
assert iter.Content[iter.Offset : iter.Offset + 8] == " "
assert iter.Line == 5
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Indent
iter.SkipWhitespacePrefix()
assert iter.Offset == 38
assert iter.LineInfo == iter.LineInfos[4]
assert iter.Content[iter.Offset : iter.Offset + 5] == "55555"
assert iter.Line == 5
assert iter.Column == 9
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(5)
assert iter.Offset == 43
assert iter.LineInfo == iter.LineInfos[4]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 5
assert iter.Column == 14
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Sixth line
assert iter.LineInfo.NumDedents is None
assert iter.LineInfo.NewIndentationValue is None
assert iter.Offset == 44
assert iter.LineInfo == iter.LineInfos[5]
assert iter.Content[iter.Offset : iter.Offset + 8] == " "
assert iter.Line == 6
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.WhitespacePrefix
iter.SkipWhitespacePrefix()
assert iter.Offset == 52
assert iter.LineInfo == iter.LineInfos[5]
assert iter.Content[iter.Offset : iter.Offset + 6] == "666666"
assert iter.Line == 6
assert iter.Column == 9
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(2)
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(2)
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(2)
assert iter.Offset == 58
assert iter.LineInfo == iter.LineInfos[5]
assert iter.Content[iter.Offset] == "\n"
assert iter.Line == 6
assert iter.Column == 15
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.Advance(1)
assert iter.AtEnd() == False
# Final dedents
assert iter.HasEndOfFileDedents
assert iter.IsBlankLine() == False
assert iter.LineInfo.NumDedents == 2
assert iter.LineInfo.NewIndentationValue is None
assert iter.Offset == 59
assert iter.LineInfo == iter.LineInfos[6]
assert iter.Line == 7
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Dedent
iter.ConsumeDedent()
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Dedent
iter.ConsumeDedent()
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfFile
assert iter.AtEnd()
# ----------------------------------------------------------------------
def test_NoFinalDedents():
assert not NormalizedIterator.FromNormalizedContent(
Normalize(
textwrap.dedent(
"""\
one
two
three
""",
),
),
).HasEndOfFileDedents
# ----------------------------------------------------------------------
def test_SkipWhitespacePrefix():
iter = NormalizedIterator.FromNormalizedContent(Normalize(" one"))
assert iter.Line == 1
assert iter.Column == 1
assert iter.Offset == 0
iter.SkipWhitespacePrefix()
assert iter.Line == 1
assert iter.Column == 5
assert iter.Offset == 4
# ----------------------------------------------------------------------
def test_SkipWhitespacePrefixNoPrefix():
iter = NormalizedIterator.FromNormalizedContent(Normalize("one"))
assert iter.Line == 1
assert iter.Column == 1
assert iter.Offset == 0
iter.SkipWhitespacePrefix()
assert iter.Line == 1
assert iter.Column == 1
assert iter.Offset == 0
# ----------------------------------------------------------------------
def test_SkipSuffix():
iter = NormalizedIterator.FromNormalizedContent(Normalize("one "))
assert iter.Line == 1
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(3)
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.WhitespaceSuffix
assert iter.Line == 1
assert iter.Column == 4
assert iter.Offset == 3
iter.SkipWhitespaceSuffix()
assert iter.Line == 1
assert iter.Column == 8
assert iter.Offset == 7
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
# ----------------------------------------------------------------------
def test_SkipSuffixNoSuffix():
iter = NormalizedIterator.FromNormalizedContent(Normalize("one"))
assert iter.Line == 1
assert iter.Column == 1
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.Content
iter.Advance(3)
assert iter.Line == 1
assert iter.Column == 4
assert iter.Offset == 3
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
iter.SkipWhitespaceSuffix()
assert iter.Line == 1
assert iter.Column == 4
assert iter.Offset == 3
assert iter.GetNextTokenType() == NormalizedIterator.TokenType.EndOfLine
# ----------------------------------------------------------------------
def test_IsBlankLine():
iter = NormalizedIterator.FromNormalizedContent(
Normalize(
textwrap.dedent(
"""\
one
three
\t
\t
six
""",
),
),
)
# Line 1
assert iter.Line == 1
assert iter.Column == 1
assert iter.Offset == 0
assert iter.IsBlankLine() == False
iter.Advance(3)
assert iter.Line == 1
assert iter.Column == 4
assert iter.Offset == 3
iter.Advance(1)
# Line 2
assert iter.Line == 2
assert iter.Column == 1
assert iter.Offset == 4
assert iter.IsBlankLine()
iter.SkipWhitespacePrefix()
iter.SkipWhitespaceSuffix()
assert iter.Line == 2
assert iter.Column == 1
assert iter.Offset == 4
iter.Advance(1)
# Line 3
assert iter.Line == 3
assert iter.Column == 1
assert iter.Offset == 5
assert iter.IsBlankLine() == False
iter.SkipWhitespacePrefix()
assert iter.Line == 3
assert iter.Column == 1
assert iter.Offset == 5
iter.Advance(len("three"))
assert iter.Line == 3
assert iter.Column == 6
assert iter.Offset == 10
iter.SkipWhitespaceSuffix()
assert iter.Line == 3
assert iter.Column == 6
assert iter.Offset == 10
iter.Advance(1)
# Line 4
assert iter.Line == 4
assert iter.Column == 1
assert iter.Offset == 11
assert iter.IsBlankLine()
iter.SkipWhitespacePrefix()
assert iter.Line == 4
assert iter.Column == 1
assert iter.Offset == 11
iter.Advance(1)
# Line 5
assert iter.Line == 5
assert iter.Column == 1
assert iter.Offset == 12
assert iter.IsBlankLine()
iter.SkipWhitespacePrefix()
assert iter.Line == 5
assert iter.Column == 1
assert iter.Offset == 12
iter.SkipWhitespaceSuffix()
assert iter.Line == 5
assert iter.Column == 1
assert iter.Offset == 12
iter.Advance(1)
# Line 6
assert iter.Line == 6
assert iter.Column == 1
assert iter.Offset == 13
assert iter.IsBlankLine() == False
iter.SkipWhitespacePrefix()
assert iter.Line == 6
assert iter.Column == 1
assert iter.Offset == 13
iter.Advance(len("six"))
assert iter.Line == 6
assert iter.Column == 4
assert iter.Offset == 16
assert iter.AtEnd() == False
assert iter.Advance(1)
assert iter.Line == 7
assert iter.Column == 1
assert iter.Offset == 17
assert iter.AtEnd()
assert iter.IsBlankLine() == False
# ----------------------------------------------------------------------
def test_SkipLine():
iter = NormalizedIterator.FromNormalizedContent(
Normalize(
textwrap.dedent(
"""\
one
two
four
\t
\t
seven
""",
),
),
)
assert iter.Line == 1
assert iter.Column == 1
assert iter.Offset == 0
iter.SkipLine()
assert iter.Line == 2
assert iter.Column == 1
assert iter.Offset == 4
iter.SkipLine()
assert iter.Line == 3
assert iter.Column == 1
assert iter.Offset == 8
iter.SkipLine()
assert iter.Line == 4
assert iter.Column == 1
assert iter.Offset == 9
iter.SkipLine()
assert iter.Line == 5
assert iter.Column == 1
assert iter.Offset == 14
iter.SkipLine()
assert iter.Line == 6
assert iter.Column == 1
assert iter.Offset == 15
iter.SkipLine()
assert iter.AtEnd() == False
assert iter.Line == 7
assert iter.Column == 1
assert iter.Offset == 16
iter.SkipLine()
assert iter.AtEnd()
assert iter.Line == 8
assert iter.Column == 1
assert iter.Offset == 22
# ----------------------------------------------------------------------
def test_Errors():
iter = NormalizedIterator.FromNormalizedContent(
Normalize(
textwrap.dedent(
"""\
one
two
""",
),
),
)
# Request too much content
with pytest.raises(AssertionError):
iter.Advance(100)
iter.Advance(3) # Move past the content
# Attempt to skip prefix when not at the beginning of the line
with pytest.raises(AssertionError):
iter.SkipWhitespacePrefix()
# Request more than a newline
with pytest.raises(AssertionError):
iter.Advance(2)
iter.Advance(1)
# Attempt to skip the suffix at the beginning of the line
with pytest.raises(AssertionError):
iter.SkipWhitespaceSuffix()
# Request too little whitespace
with pytest.raises(AssertionError):
iter.Advance(1)
# Request too much whitespace
with pytest.raises(AssertionError):
iter.Advance(5)
iter.Advance(4) # Move past the whitespace
iter.Advance(3) # Move past the content
iter.Advance(1) # Move past the newline
assert iter.AtEnd() == False
# Request an invalid amount
with pytest.raises(AssertionError):
iter.Advance(1)
assert iter.AtEnd() == False
iter.ConsumeDedent()
iter.AtEnd()
# ----------------------------------------------------------------------
def test_Clone():
iter1 = NormalizedIterator.FromNormalizedContent(Normalize("12345"))
iter2 = iter1.Clone()
assert iter1 == iter2
iter1.Advance(1)
assert iter1 != iter2
iter2.Advance(2)
assert iter1 != iter2
iter1.Advance(1)
assert iter1 == iter2
| 28.142623
| 84
| 0.569989
| 1,704
| 17,167
| 5.728873
| 0.101526
| 0.26429
| 0.072116
| 0.057468
| 0.828826
| 0.794919
| 0.766441
| 0.704364
| 0.672608
| 0.622413
| 0
| 0.028019
| 0.274422
| 17,167
| 609
| 85
| 28.188834
| 0.7557
| 0.10893
| 0
| 0.804511
| 0
| 0
| 0.00699
| 0
| 0
| 0
| 0
| 0
| 0.676692
| 1
| 0.025063
| false
| 0
| 0.022556
| 0
| 0.047619
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
366569118d5a9f85213ab10c8dfbc406071b09ec
| 150
|
py
|
Python
|
python/tests/test_decode_morse.py
|
matyama/codewars
|
3386dbdb1cd3fa6556356591f377a72bf4bba4e6
|
[
"MIT"
] | null | null | null |
python/tests/test_decode_morse.py
|
matyama/codewars
|
3386dbdb1cd3fa6556356591f377a72bf4bba4e6
|
[
"MIT"
] | null | null | null |
python/tests/test_decode_morse.py
|
matyama/codewars
|
3386dbdb1cd3fa6556356591f377a72bf4bba4e6
|
[
"MIT"
] | null | null | null |
from codewars.decode_morse import decodeMorse
def test_decode_morse() -> None:
assert decodeMorse('.... . -.-- .--- ..- -.. .') == 'HEY JUDE'
| 25
| 68
| 0.593333
| 15
| 150
| 5.733333
| 0.8
| 0.255814
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.18
| 150
| 5
| 69
| 30
| 0.699187
| 0
| 0
| 0
| 0
| 0
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3675949a5530ee2e9155a019bd1273fd117d1786
| 1,493
|
py
|
Python
|
slackest/search.py
|
dagonis/slackest
|
98175bc026c51165b7b8c39a271d74e0f713af72
|
[
"Apache-2.0"
] | null | null | null |
slackest/search.py
|
dagonis/slackest
|
98175bc026c51165b7b8c39a271d74e0f713af72
|
[
"Apache-2.0"
] | null | null | null |
slackest/search.py
|
dagonis/slackest
|
98175bc026c51165b7b8c39a271d74e0f713af72
|
[
"Apache-2.0"
] | null | null | null |
from .api import BaseAPI
class Search(BaseAPI):
def all(self, query, sort=None, sort_dir=None, highlight=None, count=None,
page=None):
return self.get('search.all',
params={
'query': query,
'sort': sort,
'sort_dir': sort_dir,
'highlight': highlight,
'count': count,
'page': page
})
def files(self, query, sort=None, sort_dir=None, highlight=None,
count=None, page=None):
return self.get('search.files',
params={
'query': query,
'sort': sort,
'sort_dir': sort_dir,
'highlight': highlight,
'count': count,
'page': page
})
def messages(self, query, sort=None, sort_dir=None, highlight=None,
count=None, page=None):
return self.get('search.messages',
params={
'query': query,
'sort': sort,
'sort_dir': sort_dir,
'highlight': highlight,
'count': count,
'page': page
})
| 39.289474
| 78
| 0.362358
| 112
| 1,493
| 4.75
| 0.1875
| 0.118421
| 0.073308
| 0.095865
| 0.862782
| 0.862782
| 0.862782
| 0.862782
| 0.862782
| 0.862782
| 0
| 0
| 0.540522
| 1,493
| 38
| 79
| 39.289474
| 0.77551
| 0
| 0
| 0.742857
| 0
| 0
| 0.095047
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.085714
| false
| 0
| 0.028571
| 0.085714
| 0.228571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
36b40b4b5ff7bad0452b621f15759c468c682ad2
| 58,693
|
py
|
Python
|
libica/openapi/libgds/api/files_api.py
|
umccr-illumina/libica
|
916d27eea499f29bee590268b84208effb0cc576
|
[
"MIT"
] | null | null | null |
libica/openapi/libgds/api/files_api.py
|
umccr-illumina/libica
|
916d27eea499f29bee590268b84208effb0cc576
|
[
"MIT"
] | 4
|
2021-11-15T10:47:51.000Z
|
2022-02-22T04:43:20.000Z
|
libica/openapi/libgds/api/files_api.py
|
umccr-illumina/libica
|
916d27eea499f29bee590268b84208effb0cc576
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Genomic Data Store Service
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from libica.openapi.libgds.api_client import ApiClient
from libica.openapi.libgds.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class FilesApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def archive_file(self, file_id, body, **kwargs): # noqa: E501
"""Archive a file # noqa: E501
Archives a file to a lower storage cost tier. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.archive_file(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be archived. (required)
:param FileArchiveRequest body: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.archive_file_with_http_info(file_id, body, **kwargs) # noqa: E501
def archive_file_with_http_info(self, file_id, body, **kwargs): # noqa: E501
"""Archive a file # noqa: E501
Archives a file to a lower storage cost tier. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.archive_file_with_http_info(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be archived. (required)
:param FileArchiveRequest body: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method archive_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `archive_file`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `archive_file`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}:archive', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def complete_file_upload(self, file_id, body, **kwargs): # noqa: E501
"""Complete a file Upload # noqa: E501
Complete a file upload operation. If the file was uploaded using multipart uploads, combine all the multiple parts uploaded into one complete file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.complete_file_upload(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file upload to be completed. (required)
:param FileUploadCompleteRequest body: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.complete_file_upload_with_http_info(file_id, body, **kwargs) # noqa: E501
def complete_file_upload_with_http_info(self, file_id, body, **kwargs): # noqa: E501
"""Complete a file Upload # noqa: E501
Complete a file upload operation. If the file was uploaded using multipart uploads, combine all the multiple parts uploaded into one complete file. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.complete_file_upload_with_http_info(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file upload to be completed. (required)
:param FileUploadCompleteRequest body: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method complete_file_upload" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `complete_file_upload`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `complete_file_upload`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}:completeUpload', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def create_file(self, body, **kwargs): # noqa: E501
"""Create a file entry in GDS and get temporary credentials for upload # noqa: E501
Create a file entry in GDS. Returns temporary credentials and presigned url(s) for file upload directly to S3 when the include=objectStoreAccess parameter is used. Volume ID or volume name is required for file creation. If a folder path is provided and does not exist, GDS creates the folder path in the appropriate account automatically. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_file(body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreateFileRequest body: (required)
:param str include: Optionally include additional fields in the response. Possible values: ObjectStoreAccess
:param int upload_part_count: Optional number of parts for the presigned url for uploads (1 - 10000)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileWriteableResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.create_file_with_http_info(body, **kwargs) # noqa: E501
def create_file_with_http_info(self, body, **kwargs): # noqa: E501
"""Create a file entry in GDS and get temporary credentials for upload # noqa: E501
Create a file entry in GDS. Returns temporary credentials and presigned url(s) for file upload directly to S3 when the include=objectStoreAccess parameter is used. Volume ID or volume name is required for file creation. If a folder path is provided and does not exist, GDS creates the folder path in the appropriate account automatically. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_file_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreateFileRequest body: (required)
:param str include: Optionally include additional fields in the response. Possible values: ObjectStoreAccess
:param int upload_part_count: Optional number of parts for the presigned url for uploads (1 - 10000)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileWriteableResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'body',
'include',
'upload_part_count'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method create_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `create_file`") # noqa: E501
if self.api_client.client_side_validation and 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] > 10000: # noqa: E501
raise ApiValueError("Invalid value for parameter `upload_part_count` when calling `create_file`, must be a value less than or equal to `10000`") # noqa: E501
if self.api_client.client_side_validation and 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] < 1: # noqa: E501
raise ApiValueError("Invalid value for parameter `upload_part_count` when calling `create_file`, must be a value greater than or equal to `1`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'include' in local_var_params and local_var_params['include'] is not None: # noqa: E501
query_params.append(('include', local_var_params['include'])) # noqa: E501
if 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] is not None: # noqa: E501
query_params.append(('uploadPartCount', local_var_params['upload_part_count'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileWriteableResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_file(self, file_id, **kwargs): # noqa: E501
"""Permanently delete a file # noqa: E501
Permanently delete a file entry and its underlying content # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_file(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to delete. (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.delete_file_with_http_info(file_id, **kwargs) # noqa: E501
def delete_file_with_http_info(self, file_id, **kwargs): # noqa: E501
"""Permanently delete a file # noqa: E501
Permanently delete a file entry and its underlying content # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_file_with_http_info(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to delete. (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `delete_file`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_file(self, file_id, **kwargs): # noqa: E501
"""Get details about a file, including a pre-signed URL for download # noqa: E501
Get information and details for the specified file ID, including metadata and a pre-signed URL for file download. The URL can be used as a curl command or directly with S3. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_file(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to retrieve. (required)
:param str tenant_id: Optional parameter to see shared data in another tenant
:param str presigned_url_mode: Optional parameter to specify presigned url's content-disposition. If not specified, the browser will determine the default behavior. Possible values: Attachment, Inline, Browser
:param bool include_volume_metadata: Optional parameter to return volume's metadata
:param str metadata_include: Optional parameter to specify comma separated patterns to include metadata by their field names.
:param str metadata_exclude: Optional parameter to specify comma separated patterns to exclude metadata by their field names.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_file_with_http_info(file_id, **kwargs) # noqa: E501
def get_file_with_http_info(self, file_id, **kwargs): # noqa: E501
"""Get details about a file, including a pre-signed URL for download # noqa: E501
Get information and details for the specified file ID, including metadata and a pre-signed URL for file download. The URL can be used as a curl command or directly with S3. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_file_with_http_info(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to retrieve. (required)
:param str tenant_id: Optional parameter to see shared data in another tenant
:param str presigned_url_mode: Optional parameter to specify presigned url's content-disposition. If not specified, the browser will determine the default behavior. Possible values: Attachment, Inline, Browser
:param bool include_volume_metadata: Optional parameter to return volume's metadata
:param str metadata_include: Optional parameter to specify comma separated patterns to include metadata by their field names.
:param str metadata_exclude: Optional parameter to specify comma separated patterns to exclude metadata by their field names.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id',
'tenant_id',
'presigned_url_mode',
'include_volume_metadata',
'metadata_include',
'metadata_exclude'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `get_file`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
if 'tenant_id' in local_var_params and local_var_params['tenant_id'] is not None: # noqa: E501
query_params.append(('tenantId', local_var_params['tenant_id'])) # noqa: E501
if 'presigned_url_mode' in local_var_params and local_var_params['presigned_url_mode'] is not None: # noqa: E501
query_params.append(('presignedUrlMode', local_var_params['presigned_url_mode'])) # noqa: E501
if 'include_volume_metadata' in local_var_params and local_var_params['include_volume_metadata'] is not None: # noqa: E501
query_params.append(('includeVolumeMetadata', local_var_params['include_volume_metadata'])) # noqa: E501
if 'metadata_include' in local_var_params and local_var_params['metadata_include'] is not None: # noqa: E501
query_params.append(('metadata.include', local_var_params['metadata_include'])) # noqa: E501
if 'metadata_exclude' in local_var_params and local_var_params['metadata_exclude'] is not None: # noqa: E501
query_params.append(('metadata.exclude', local_var_params['metadata_exclude'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_files(self, **kwargs): # noqa: E501
"""Get a list of files # noqa: E501
Given a volumeId or volume name, get a list of files accessible by the JWT. The default sort returned is alphabetical, ascending. The default page size is 10 items # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_files(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param list[str] volume_id: Optional field that specifies comma-separated volume IDs to include in the list
:param list[str] volume_name: Optional field that specifies comma-separated volume names to include in the list
:param list[str] path: Optional field that specifies comma-separated paths to include in the list. Value can use wildcards (e.g. /a/b/c/*) or exact matches (e.g. /a/b/c/d/).
:param bool is_uploaded: Optional field to filter by Uploaded files
:param str archive_status: Optional field that specifies comma-separated Archive Statuses to include in the list
:param bool recursive: Optional field to specify if files should be returned recursively in and under the specified paths, or only directly in the specified paths
:param str presigned_url_mode: Optional parameter to specify presigned url's content-disposition. If not specified, the browser will determine the default behavior. Possible values: Attachment, Inline, Browser
:param str include: Optionally include additional fields in the response. Multiple fields can be included by comma-separation. Possible values: TotalItemCount, PresignedUrl, InheritedAcl
:param int page_size: START_DESC END_DESC
:param str page_token: START_DESC END_DESC
:param str tenant_id: Optional parameter to see shared data in another tenant
:param str metadata_include: Optional parameter to specify comma separated patterns to include metadata by their field names.
:param str metadata_exclude: Optional parameter to specify comma separated patterns to exclude metadata by their field names.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_files_with_http_info(**kwargs) # noqa: E501
def list_files_with_http_info(self, **kwargs): # noqa: E501
"""Get a list of files # noqa: E501
Given a volumeId or volume name, get a list of files accessible by the JWT. The default sort returned is alphabetical, ascending. The default page size is 10 items # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_files_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param list[str] volume_id: Optional field that specifies comma-separated volume IDs to include in the list
:param list[str] volume_name: Optional field that specifies comma-separated volume names to include in the list
:param list[str] path: Optional field that specifies comma-separated paths to include in the list. Value can use wildcards (e.g. /a/b/c/*) or exact matches (e.g. /a/b/c/d/).
:param bool is_uploaded: Optional field to filter by Uploaded files
:param str archive_status: Optional field that specifies comma-separated Archive Statuses to include in the list
:param bool recursive: Optional field to specify if files should be returned recursively in and under the specified paths, or only directly in the specified paths
:param str presigned_url_mode: Optional parameter to specify presigned url's content-disposition. If not specified, the browser will determine the default behavior. Possible values: Attachment, Inline, Browser
:param str include: Optionally include additional fields in the response. Multiple fields can be included by comma-separation. Possible values: TotalItemCount, PresignedUrl, InheritedAcl
:param int page_size: START_DESC END_DESC
:param str page_token: START_DESC END_DESC
:param str tenant_id: Optional parameter to see shared data in another tenant
:param str metadata_include: Optional parameter to specify comma separated patterns to include metadata by their field names.
:param str metadata_exclude: Optional parameter to specify comma separated patterns to exclude metadata by their field names.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileListResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'volume_id',
'volume_name',
'path',
'is_uploaded',
'archive_status',
'recursive',
'presigned_url_mode',
'include',
'page_size',
'page_token',
'tenant_id',
'metadata_include',
'metadata_exclude'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method list_files" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
if self.api_client.client_side_validation and 'page_size' in local_var_params and local_var_params['page_size'] > 10000: # noqa: E501
raise ApiValueError("Invalid value for parameter `page_size` when calling `list_files`, must be a value less than or equal to `10000`") # noqa: E501
if self.api_client.client_side_validation and 'page_size' in local_var_params and local_var_params['page_size'] < 0: # noqa: E501
raise ApiValueError("Invalid value for parameter `page_size` when calling `list_files`, must be a value greater than or equal to `0`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'volume_id' in local_var_params and local_var_params['volume_id'] is not None: # noqa: E501
query_params.append(('volume.id', local_var_params['volume_id'])) # noqa: E501
collection_formats['volume.id'] = 'csv' # noqa: E501
if 'volume_name' in local_var_params and local_var_params['volume_name'] is not None: # noqa: E501
query_params.append(('volume.name', local_var_params['volume_name'])) # noqa: E501
collection_formats['volume.name'] = 'csv' # noqa: E501
if 'path' in local_var_params and local_var_params['path'] is not None: # noqa: E501
query_params.append(('path', local_var_params['path'])) # noqa: E501
collection_formats['path'] = 'csv' # noqa: E501
if 'is_uploaded' in local_var_params and local_var_params['is_uploaded'] is not None: # noqa: E501
query_params.append(('isUploaded', local_var_params['is_uploaded'])) # noqa: E501
if 'archive_status' in local_var_params and local_var_params['archive_status'] is not None: # noqa: E501
query_params.append(('archiveStatus', local_var_params['archive_status'])) # noqa: E501
if 'recursive' in local_var_params and local_var_params['recursive'] is not None: # noqa: E501
query_params.append(('recursive', local_var_params['recursive'])) # noqa: E501
if 'presigned_url_mode' in local_var_params and local_var_params['presigned_url_mode'] is not None: # noqa: E501
query_params.append(('presignedUrlMode', local_var_params['presigned_url_mode'])) # noqa: E501
if 'include' in local_var_params and local_var_params['include'] is not None: # noqa: E501
query_params.append(('include', local_var_params['include'])) # noqa: E501
if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501
query_params.append(('pageSize', local_var_params['page_size'])) # noqa: E501
if 'page_token' in local_var_params and local_var_params['page_token'] is not None: # noqa: E501
query_params.append(('pageToken', local_var_params['page_token'])) # noqa: E501
if 'tenant_id' in local_var_params and local_var_params['tenant_id'] is not None: # noqa: E501
query_params.append(('tenantId', local_var_params['tenant_id'])) # noqa: E501
if 'metadata_include' in local_var_params and local_var_params['metadata_include'] is not None: # noqa: E501
query_params.append(('metadata.include', local_var_params['metadata_include'])) # noqa: E501
if 'metadata_exclude' in local_var_params and local_var_params['metadata_exclude'] is not None: # noqa: E501
query_params.append(('metadata.exclude', local_var_params['metadata_exclude'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileListResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def unarchive_file(self, file_id, body, **kwargs): # noqa: E501
"""Unarchive a file # noqa: E501
Unarchive a file from a lower storage cost tier. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.unarchive_file(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be unarchived. (required)
:param FileUnarchiveRequest body: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.unarchive_file_with_http_info(file_id, body, **kwargs) # noqa: E501
def unarchive_file_with_http_info(self, file_id, body, **kwargs): # noqa: E501
"""Unarchive a file # noqa: E501
Unarchive a file from a lower storage cost tier. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.unarchive_file_with_http_info(file_id, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be unarchived. (required)
:param FileUnarchiveRequest body: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method unarchive_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `unarchive_file`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `unarchive_file`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}:unarchive', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def update_file(self, file_id, **kwargs): # noqa: E501
"""Update a file entry in GDS and get temporary credentials for upload # noqa: E501
Update a file entry in GDS. Returns temporary credentials and presigned url(s) for file upload directly to S3 when the include=objectStoreAccess parameter is used. Note that the currently supported changes to the file resource are updating the file type and the underlying content. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_file(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be updated. (required)
:param str include: Optionally include additional fields in the response. Possible values: ObjectStoreAccess
:param int upload_part_count: Optional number of parts for the presigned url for uploads (1 - 10000)
:param UpdateFileRequest body:
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: FileWriteableResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.update_file_with_http_info(file_id, **kwargs) # noqa: E501
def update_file_with_http_info(self, file_id, **kwargs): # noqa: E501
"""Update a file entry in GDS and get temporary credentials for upload # noqa: E501
Update a file entry in GDS. Returns temporary credentials and presigned url(s) for file upload directly to S3 when the include=objectStoreAccess parameter is used. Note that the currently supported changes to the file resource are updating the file type and the underlying content. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_file_with_http_info(file_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str file_id: Unique identifier for the file to be updated. (required)
:param str include: Optionally include additional fields in the response. Possible values: ObjectStoreAccess
:param int upload_part_count: Optional number of parts for the presigned url for uploads (1 - 10000)
:param UpdateFileRequest body:
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(FileWriteableResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'file_id',
'include',
'upload_part_count',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method update_file" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'file_id' is set
if self.api_client.client_side_validation and ('file_id' not in local_var_params or # noqa: E501
local_var_params['file_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `file_id` when calling `update_file`") # noqa: E501
if self.api_client.client_side_validation and 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] > 10000: # noqa: E501
raise ApiValueError("Invalid value for parameter `upload_part_count` when calling `update_file`, must be a value less than or equal to `10000`") # noqa: E501
if self.api_client.client_side_validation and 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] < 1: # noqa: E501
raise ApiValueError("Invalid value for parameter `upload_part_count` when calling `update_file`, must be a value greater than or equal to `1`") # noqa: E501
collection_formats = {}
path_params = {}
if 'file_id' in local_var_params:
path_params['fileId'] = local_var_params['file_id'] # noqa: E501
query_params = []
if 'include' in local_var_params and local_var_params['include'] is not None: # noqa: E501
query_params.append(('include', local_var_params['include'])) # noqa: E501
if 'upload_part_count' in local_var_params and local_var_params['upload_part_count'] is not None: # noqa: E501
query_params.append(('uploadPartCount', local_var_params['upload_part_count'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/v1/files/{fileId}', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileWriteableResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
| 52.498211
| 360
| 0.622561
| 6,972
| 58,693
| 5.020511
| 0.049627
| 0.04571
| 0.073594
| 0.022398
| 0.960232
| 0.949119
| 0.945205
| 0.943405
| 0.932149
| 0.922721
| 0
| 0.016818
| 0.305045
| 58,693
| 1,117
| 361
| 52.54521
| 0.84133
| 0.473106
| 0
| 0.731397
| 1
| 0.010889
| 0.212464
| 0.032241
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030853
| false
| 0
| 0.009074
| 0
| 0.07078
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
36c9df0b3f1c5db99cbc0a02e39bb96ed4fe8bc6
| 129
|
py
|
Python
|
python_modules/dagster/dagster/core/storage/event_log/sqlite/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 4,606
|
2018-06-21T17:45:20.000Z
|
2022-03-31T23:39:42.000Z
|
python_modules/dagster/dagster/core/storage/event_log/sqlite/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 6,221
|
2018-06-12T04:36:01.000Z
|
2022-03-31T21:43:05.000Z
|
python_modules/dagster/dagster/core/storage/event_log/sqlite/__init__.py
|
dbatten5/dagster
|
d76e50295054ffe5a72f9b292ef57febae499528
|
[
"Apache-2.0"
] | 619
|
2018-08-22T22:43:09.000Z
|
2022-03-31T22:48:06.000Z
|
from .consolidated_sqlite_event_log import ConsolidatedSqliteEventLogStorage
from .sqlite_event_log import SqliteEventLogStorage
| 43
| 76
| 0.922481
| 13
| 129
| 8.769231
| 0.615385
| 0.192982
| 0.245614
| 0.350877
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062016
| 129
| 2
| 77
| 64.5
| 0.942149
| 0
| 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
| 1
| 0
|
0
| 7
|
36dfadd4c08f5cffa1fb32f9b940e8a977f6cac9
| 1,666
|
py
|
Python
|
pyrez/exceptions.py
|
shaklev/Pyrez
|
a9cc5bc0c62fbd56235c06b39683f697fd77e8a8
|
[
"MIT"
] | null | null | null |
pyrez/exceptions.py
|
shaklev/Pyrez
|
a9cc5bc0c62fbd56235c06b39683f697fd77e8a8
|
[
"MIT"
] | null | null | null |
pyrez/exceptions.py
|
shaklev/Pyrez
|
a9cc5bc0c62fbd56235c06b39683f697fd77e8a8
|
[
"MIT"
] | null | null | null |
class CustomException(Exception):
def __init__(self, *args, **kwargs):
return super().__init__(self, *args, **kwargs)
def __str__(self):
return str(self.args [1])
class DeprecatedException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class DailyLimitException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class InvalidArgumentException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class KeyOrAuthEmptyException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class NotFoundException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class NotSupported(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class SessionLimitException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class WrongCredentials(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class PaladinsOnlyException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class SmiteOnlyException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
class RealmRoyaleOnlyException(CustomException):
def __init__(self, *args, **kwargs):
return super().__init__(*args, **kwargs)
| 42.717949
| 54
| 0.688475
| 165
| 1,666
| 6.345455
| 0.139394
| 0.229226
| 0.148997
| 0.223496
| 0.723018
| 0.723018
| 0.723018
| 0.723018
| 0.688634
| 0.688634
| 0
| 0.000716
| 0.162065
| 1,666
| 38
| 55
| 43.842105
| 0.749284
| 0
| 0
| 0.605263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.342105
| false
| 0
| 0
| 0.342105
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 8
|
36e5028f364ebe260be55df72ae9dc9e259d0182
| 68,617
|
py
|
Python
|
benchmarks/SimResults/combinations_spec_locality/cmp_astarzeusmpcactusADMGemsFDTD/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_spec_locality/cmp_astarzeusmpcactusADMGemsFDTD/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_spec_locality/cmp_astarzeusmpcactusADMGemsFDTD/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.221497,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.376662,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 1.28152,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.538558,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.932588,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.534866,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.00601,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.335867,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 7.789,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.242107,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0195232,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.22063,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.144386,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.462738,
'Execution Unit/Register Files/Runtime Dynamic': 0.163909,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.593815,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.46857,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 4.42053,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000481011,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000481011,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000417057,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000160409,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00207411,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00345319,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00467987,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.138802,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.326142,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.471433,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 0.94451,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.137884,
'L2/Runtime Dynamic': 0.03632,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 5.88639,
'Load Store Unit/Data Cache/Runtime Dynamic': 2.30487,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.150415,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.150415,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 6.59958,
'Load Store Unit/Runtime Dynamic': 3.19708,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.370898,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.741795,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.131633,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.133676,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0535466,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.786061,
'Memory Management Unit/Runtime Dynamic': 0.187223,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 28.843,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.844658,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0377029,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.26612,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 1.14848,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 9.93414,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.000768033,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.203292,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.00489056,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.134003,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.216141,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.109101,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.459244,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.152511,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.12944,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.000923932,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00562067,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0409021,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0415683,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.041826,
'Execution Unit/Register Files/Runtime Dynamic': 0.047189,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0863613,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.24668,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.36178,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00129107,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00129107,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00118164,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000488669,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000597132,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00436092,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0103381,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0399607,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.54184,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.103155,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.135724,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.88372,
'Instruction Fetch Unit/Runtime Dynamic': 0.293539,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0180619,
'L2/Runtime Dynamic': 0.00421009,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.46507,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.595097,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.039727,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0397271,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.65267,
'Load Store Unit/Runtime Dynamic': 0.830745,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0979601,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.195921,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0347664,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.035037,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.158042,
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'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00205552,
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'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00350401,
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'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
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'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0674283,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.28902,
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'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.229017,
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'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.71569,
'Instruction Fetch Unit/Runtime Dynamic': 0.455484,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0798664,
'L2/Runtime Dynamic': 0.0208478,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.11536,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.949894,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0607655,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0607656,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.40231,
'Load Store Unit/Runtime Dynamic': 1.31033,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.149837,
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'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000295353,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.000451343,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.000513895,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0197653,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.25725,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0479639,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.067132,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 3.53678,
'Instruction Fetch Unit/Runtime Dynamic': 0.135826,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0527099,
'L2/Runtime Dynamic': 0.0153926,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.07389,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.423272,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0270714,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0270714,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.20172,
'Load Store Unit/Runtime Dynamic': 0.58385,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0667535,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.133507,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.023691,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0244797,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.078171,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.00787198,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.274977,
'Memory Management Unit/Runtime Dynamic': 0.0323517,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 13.86,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0807939,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00397363,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0326388,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.117406,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 1.96236,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 5.02497580186192,
'Runtime Dynamic': 5.02497580186192,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.281697,
'Runtime Dynamic': 0.126352,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 78.0659,
'Peak Power': 111.178,
'Runtime Dynamic': 19.0508,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 77.7842,
'Total Cores/Runtime Dynamic': 18.9244,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.281697,
'Total L3s/Runtime Dynamic': 0.126352,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
| 75.073304
| 124
| 0.682061
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| 125
| 75.073304
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0
| 7
|
7fc8ca874303891ece84f4fc9a2c86ebdff63d79
| 9,654
|
py
|
Python
|
navigation/migrations/0002_auto_20200317_1530.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 4
|
2019-03-28T06:42:17.000Z
|
2021-06-06T13:10:51.000Z
|
navigation/migrations/0002_auto_20200317_1530.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 177
|
2018-09-28T14:21:56.000Z
|
2022-03-30T21:45:26.000Z
|
navigation/migrations/0002_auto_20200317_1530.py
|
IATI/new-website
|
b90783e32d19ac4c821c5ea018a52997a11b5286
|
[
"MIT"
] | 8
|
2018-10-25T20:43:10.000Z
|
2022-03-17T14:19:27.000Z
|
# Generated by Django 2.2.9 on 2020-03-17 15:30
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.blocks.static_block
import wagtail.core.fields
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = [
('navigation', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='primarymenulinks',
name='meganav',
field=wagtail.core.fields.StreamField([('type_a', wagtail.core.blocks.StructBlock([('highlight', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False))])), ('columns_label', wagtail.core.blocks.static_block.StaticBlock(admin_text='\n <div class="help-block help-info">\n <p>\n <strong>Columns</strong><br>\n Column elements for the meganav module.<br>\n Maximum number of items: 4\n </p>\n </div>\n ')), ('columns', wagtail.core.blocks.StreamBlock([('page_list', wagtail.core.blocks.StructBlock([('use_first_page_as_title', wagtail.core.blocks.BooleanBlock(help_text='Optional: if checked, the first page in the list will be displayed as a title, overriding any plain text title below', required=False)), ('title_en', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [en]', required=False)), ('title_fr', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [fr]', required=False)), ('description_en', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [en]', required=False)), ('description_fr', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [fr]', required=False)), ('page_list', wagtail.core.blocks.ListBlock(wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock())]), label='Pages'))])), ('nested_page_list', wagtail.core.blocks.StructBlock([('groups', wagtail.core.blocks.ListBlock(wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Optional: top level page for the group', label='Top level page', required=False)), ('title_en', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page group', label='Title [en]', required=False)), ('title_fr', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page group', label='Title [fr]', required=False)), ('page_group', wagtail.core.blocks.ListBlock(wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock())]), help_text='Optional: group of sub pages, displayed as an indented list', required=False))])))]))], max_num=4, min_num=0, required=False))])), ('type_b', wagtail.core.blocks.StructBlock([('highlight', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False))])), ('columns_label', wagtail.core.blocks.static_block.StaticBlock(admin_text='\n <div class="help-block help-info">\n <p>\n <strong>Columns</strong><br>\n Column elements for the meganav module.<br>\n Maximum number of items: 2\n </p>\n </div>\n ')), ('columns', wagtail.core.blocks.StreamBlock([('page_list', wagtail.core.blocks.StructBlock([('use_first_page_as_title', wagtail.core.blocks.BooleanBlock(help_text='Optional: if checked, the first page in the list will be displayed as a title, overriding any plain text title below', required=False)), ('title_en', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [en]', required=False)), ('title_fr', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [fr]', required=False)), ('description_en', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [en]', required=False)), ('description_fr', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [fr]', required=False)), ('page_list', wagtail.core.blocks.ListBlock(wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock())]), label='Pages'))])), ('featured', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False)), ('image', wagtail.images.blocks.ImageChooserBlock(help_text='Optional: image for the module. If not selected, the page image will be used, or a fallback if not available', required=False)), ('secondary_page', wagtail.core.blocks.PageChooserBlock(help_text='Optional: secondary page link', required=False)), ('link_label_en', wagtail.core.blocks.CharBlock(help_text='Optional: label for the secondary page link', label='Link label [en]', required=False)), ('link_label_fr', wagtail.core.blocks.CharBlock(help_text='Optional: label for the secondary page link', label='Link label [fr]', required=False))]))], block_counts={'featured': {'max_num': 1}, 'page_list': {'max_num': 1}}, max_num=2, min_num=0, required=False))])), ('type_c', wagtail.core.blocks.StructBlock([('highlight', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False))])), ('columns_label', wagtail.core.blocks.static_block.StaticBlock(admin_text='\n <div class="help-block help-info">\n <p>\n <strong>Columns</strong><br>\n Column elements for the meganav module.<br>\n Maximum number of items: 7\n </p>\n </div>\n ')), ('columns', wagtail.core.blocks.StreamBlock([('focus_item', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False)), ('external_url', wagtail.core.blocks.URLBlock(help_text='Optional: external URL for the secondary link. Defaults to the selected page link', required=False)), ('link_label_en', wagtail.core.blocks.CharBlock(help_text='Label for the secondary page link', label='Link label [en]')), ('link_label_fr', wagtail.core.blocks.CharBlock(help_text='Label for the secondary page link', label='Link label [fr]', required=False)), ('use_button_style', wagtail.core.blocks.BooleanBlock(help_text='Optional: if checked, the secondary link will display as a button', required=False))])), ('page_list', wagtail.core.blocks.StructBlock([('use_first_page_as_title', wagtail.core.blocks.BooleanBlock(help_text='Optional: if checked, the first page in the list will be displayed as a title, overriding any plain text title below', required=False)), ('title_en', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [en]', required=False)), ('title_fr', wagtail.core.blocks.CharBlock(help_text='Optional: plain text title for the page list', label='Title [fr]', required=False)), ('description_en', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [en]', required=False)), ('description_fr', wagtail.core.blocks.CharBlock(help_text='Optional: description for the page list', label='Description [fr]', required=False)), ('page_list', wagtail.core.blocks.ListBlock(wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock())]), label='Pages'))])), ('secondary_highlight', wagtail.core.blocks.StructBlock([('page', wagtail.core.blocks.PageChooserBlock(help_text='Page for title and link')), ('description_en', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [en]')), ('description_fr', wagtail.core.blocks.TextBlock(help_text='Description for the module', label='Description [fr]', required=False)), ('link_label_en', wagtail.core.blocks.CharBlock(help_text='Label for the page link button', label='Link label [en]')), ('link_label_fr', wagtail.core.blocks.CharBlock(help_text='Label for the page link button', label='Link label [fr]', required=False))]))], block_counts={'focus_item': {'max_num': 5}, 'page_list': {'max_num': 1}, 'secondary_highlight': {'max_num': 1}}, max_num=7, min_num=0, required=False))]))], blank=True),
),
]
| 419.73913
| 9,200
| 0.72602
| 1,298
| 9,654
| 5.288906
| 0.102465
| 0.131391
| 0.198106
| 0.075747
| 0.876329
| 0.860015
| 0.847779
| 0.845885
| 0.832775
| 0.831173
| 0
| 0.003855
| 0.113217
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| 22
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0
| 12
|
18068befc3aa9c3d3edd42d6815f3fe4078769c5
| 5,964
|
py
|
Python
|
frameworks/kafka/tests/test_ports.py
|
jorgelopez1/hdfs
|
892589180438b90486ec7530d2a63c218b20e79f
|
[
"Apache-2.0"
] | null | null | null |
frameworks/kafka/tests/test_ports.py
|
jorgelopez1/hdfs
|
892589180438b90486ec7530d2a63c218b20e79f
|
[
"Apache-2.0"
] | null | null | null |
frameworks/kafka/tests/test_ports.py
|
jorgelopez1/hdfs
|
892589180438b90486ec7530d2a63c218b20e79f
|
[
"Apache-2.0"
] | null | null | null |
import pytest
import sdk_cmd
import sdk_install
import sdk_marathon
import sdk_tasks
from tests import config
STATIC_PORT_OPTIONS_DICT = {"brokers": {"port": 9092}}
DYNAMIC_PORT_OPTIONS_DICT = {"brokers": {"port": 0}}
@pytest.fixture(scope='module', autouse=True)
def configure_package(configure_security):
try:
sdk_install.uninstall(config.PACKAGE_NAME, config.SERVICE_NAME)
yield # let the test session execute
finally:
sdk_install.uninstall(config.PACKAGE_NAME, config.SERVICE_NAME)
@pytest.mark.sanity
def test_dynamic_port_comes_online():
sdk_install.install(
config.PACKAGE_NAME,
config.SERVICE_NAME,
config.DEFAULT_BROKER_COUNT,
additional_options=DYNAMIC_PORT_OPTIONS_DICT)
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
sdk_install.uninstall(config.PACKAGE_NAME, config.SERVICE_NAME)
@pytest.mark.sanity
def test_static_port_comes_online():
sdk_install.install(
config.PACKAGE_NAME,
config.SERVICE_NAME,
config.DEFAULT_BROKER_COUNT,
additional_options=STATIC_PORT_OPTIONS_DICT)
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
# static config continues to be used in the following tests:
@pytest.mark.sanity
def test_port_static_to_static_port():
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
broker_ids = sdk_tasks.get_task_ids(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE))
marathon_config = sdk_marathon.get_config(config.SERVICE_NAME)
for broker_id in range(config.DEFAULT_BROKER_COUNT):
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'broker get {}'.format(broker_id), json=True)
assert result['port'] == 9092
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'endpoints broker', json=True)
assert len(result['address']) == config.DEFAULT_BROKER_COUNT
assert len(result['dns']) == config.DEFAULT_BROKER_COUNT
for port in result['address']:
assert int(port.split(':')[-1]) == 9092
for port in result['dns']:
assert int(port.split(':')[-1]) == 9092
marathon_config['env']['BROKER_PORT'] = '9095'
sdk_marathon.update_app(config.SERVICE_NAME, marathon_config)
sdk_tasks.check_tasks_updated(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE), broker_ids)
# all tasks are running
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'endpoints broker', json=True)
assert len(result['address']) == config.DEFAULT_BROKER_COUNT
assert len(result['dns']) == config.DEFAULT_BROKER_COUNT
for port in result['address']:
assert int(port.split(':')[-1]) == 9095
for port in result['dns']:
assert int(port.split(':')[-1]) == 9095
@pytest.mark.sanity
def test_port_static_to_dynamic_port():
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
broker_ids = sdk_tasks.get_task_ids(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE))
marathon_config = sdk_marathon.get_config(config.SERVICE_NAME)
marathon_config['env']['BROKER_PORT'] = '0'
sdk_marathon.update_app(config.SERVICE_NAME, marathon_config)
sdk_tasks.check_tasks_updated(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE), broker_ids)
# all tasks are running
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
for broker_id in range(config.DEFAULT_BROKER_COUNT):
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'broker get {}'.format(broker_id), json=True)
assert result['port'] != 9092
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'endpoints broker', json=True)
assert len(result['address']) == config.DEFAULT_BROKER_COUNT
assert len(result['dns']) == config.DEFAULT_BROKER_COUNT
for port in result['address']:
assert int(port.split(':')[-1]) != 9092
for port in result['dns']:
assert int(port.split(':')[-1]) != 9092
@pytest.mark.sanity
def test_port_dynamic_to_dynamic_port():
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
broker_ids = sdk_tasks.get_task_ids(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE))
sdk_marathon.bump_cpu_count_config(config.SERVICE_NAME, 'BROKER_CPUS')
sdk_tasks.check_tasks_updated(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE), broker_ids)
# all tasks are running
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
@pytest.mark.sanity
def test_can_adjust_config_from_dynamic_to_static_port():
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
broker_ids = sdk_tasks.get_task_ids(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE))
marathon_config = sdk_marathon.get_config(config.SERVICE_NAME)
marathon_config['env']['BROKER_PORT'] = '9092'
sdk_marathon.update_app(config.SERVICE_NAME, marathon_config)
sdk_tasks.check_tasks_updated(config.SERVICE_NAME, '{}-'.format(config.DEFAULT_POD_TYPE), broker_ids)
# all tasks are running
sdk_tasks.check_running(config.SERVICE_NAME, config.DEFAULT_BROKER_COUNT)
for broker_id in range(config.DEFAULT_BROKER_COUNT):
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'broker get {}'.format(broker_id), json=True)
assert result['port'] == 9092
result = sdk_cmd.svc_cli(config.PACKAGE_NAME, config.SERVICE_NAME, 'endpoints broker', json=True)
assert len(result['address']) == config.DEFAULT_BROKER_COUNT
assert len(result['dns']) == config.DEFAULT_BROKER_COUNT
for port in result['address']:
assert int(port.split(':')[-1]) == 9092
for port in result['dns']:
assert int(port.split(':')[-1]) == 9092
| 38.980392
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0
| 7
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180f823e937386b103e048cd20df5dbf30fea089
| 40,491
|
py
|
Python
|
tests/unit/pypyr/pipelinerunner_test.py
|
FooBarQuaxx/pypyr
|
ebe56b2200a53e2f38c78bbb42d466bb1556c37c
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/pypyr/pipelinerunner_test.py
|
FooBarQuaxx/pypyr
|
ebe56b2200a53e2f38c78bbb42d466bb1556c37c
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/pypyr/pipelinerunner_test.py
|
FooBarQuaxx/pypyr
|
ebe56b2200a53e2f38c78bbb42d466bb1556c37c
|
[
"Apache-2.0"
] | null | null | null |
"""pipelinerunner.py unit tests."""
import logging
import pytest
from unittest.mock import call, patch
from pypyr.cache.loadercache import pypeloader_cache
from pypyr.cache.parsercache import contextparser_cache
from pypyr.cache.pipelinecache import pipeline_cache
from pypyr.context import Context
from pypyr.errors import (ContextError,
KeyNotInContextError,
PyModuleNotFoundError,
Stop,
StopPipeline,
StopStepGroup)
import pypyr.moduleloader
import pypyr.pipelinerunner
from tests.common.utils import DeepCopyMagicMock
# ------------------------- parser mocks -------------------------------------#
from tests.common.utils import patch_logger
def mock_parser(args):
"""Arbitrary mock function to execute instead of get_parsed_context."""
return Context({'key1': 'created in mock parser', 'key2': args})
def mock_parser_none(args):
"""Return None, mocking get_parsed_context."""
return None
# ------------------------- parser mocks -------------------------------------#
# ------------------------- get_parsed_context--------------------------------#
def test_get_parsed_context_no_parser():
"""On get_parsed_context return empty Context when no parser specified."""
context = pypyr.pipelinerunner.get_parsed_context({}, None)
assert isinstance(context, Context)
assert len(context) == 0
def test_get_parsed_context_parser_not_found():
"""On get_parsed_context raise if parser module specified but not found."""
with pytest.raises(PyModuleNotFoundError):
pypyr.pipelinerunner.get_parsed_context(
{'context_parser': 'unlikelyblahmodulenameherexxssz'}, None)
@patch('pypyr.moduleloader.get_module')
def test_get_parsed_context_parser_returns_none(mocked_moduleloader):
"""On get_parsed_context return empty Context when parser returns None."""
mocked_moduleloader.return_value.get_parsed_context = mock_parser_none
context = pypyr.pipelinerunner.get_parsed_context(
{'context_parser': 'specifiedparserhere'}, ['in arg here'])
mocked_moduleloader.assert_called_once_with('specifiedparserhere')
assert isinstance(context, Context)
assert len(context) == 0
@patch('pypyr.moduleloader.get_module')
def test_get_parsed_context_parser_pass(mocked_moduleloader):
"""On get_parsed_context pass arg param and returns context."""
contextparser_cache.clear()
mocked_moduleloader.return_value.get_parsed_context = mock_parser
context = pypyr.pipelinerunner.get_parsed_context(
{'context_parser': 'specifiedparserhere'}, 'in arg here')
mocked_moduleloader.assert_called_once_with('specifiedparserhere')
assert isinstance(context, Context)
assert len(context) == 2
assert context['key1'] == 'created in mock parser'
assert context['key2'] == 'in arg here'
@patch('pypyr.moduleloader.get_module', return_value=3)
def test_get_parser_context_signature_wrong(mocked_moduleloader):
"""Raise when parser found but no get_parsed_context attr."""
contextparser_cache.clear()
with pytest.raises(AttributeError) as err_info:
pypyr.pipelinerunner.get_parsed_context(
{'context_parser': 'specifiedparserhere'}, 'in arg here')
assert str(err_info.value) == ("'int' object has no attribute "
"'get_parsed_context'")
# ------------------------- get_parsed_context--------------------------------#
# ------------------------- main ---------------------------------------------#
@patch('pypyr.log.logger.set_up_notify_log_level')
@patch('pypyr.pipelinerunner.load_and_run_pipeline')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='arb/dir')
def test_main_pass(mocked_get_mocked_work_dir,
mocked_set_work_dir,
mocked_run_pipeline,
mocked_set_up_notify):
"""Main initializes and runs pipelines."""
pipeline_cache.clear()
pypyr.pipelinerunner.main(pipeline_name='arb pipe',
pipeline_context_input='arb context input',
working_dir='arb/dir',
groups=['g'],
success_group='sg',
failure_group='fg')
mocked_set_up_notify.assert_called_once()
mocked_set_work_dir.assert_called_once_with('arb/dir')
mocked_run_pipeline.assert_called_once_with(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
groups=['g'],
success_group='sg',
failure_group='fg')
@patch('pypyr.pipelinerunner.load_and_run_pipeline',
side_effect=ContextError('arb'))
@patch('pypyr.moduleloader.set_working_directory')
def test_main_fail(mocked_work_dir, mocked_run_pipeline):
"""Main raise unhandled error on pipeline failure."""
pipeline_cache.clear()
with pytest.raises(ContextError) as err_info:
pypyr.pipelinerunner.main(pipeline_name='arb pipe',
pipeline_context_input='arb context input',
working_dir='arb/dir')
assert str(err_info.value) == "arb"
mocked_work_dir.assert_called_once_with('arb/dir')
mocked_run_pipeline.assert_called_once_with(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
groups=None,
success_group=None,
failure_group=None)
# ------------------------- main ---------------------------------------------#
# ------------------------- prepare_context - --------------------------------#
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context())
def test_prepare_context_empty_parse(mocked_get_parsed_context):
"""Empty parsed_context works."""
context = Context({'c1': 'cv1', 'c2': 'cv2'})
pypyr.pipelinerunner.prepare_context(pipeline='pipe def',
context_in_args='arb context input',
context=context)
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
assert context == {'c1': 'cv1', 'c2': 'cv2'}
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'a': 'av1', 'c1': 'new value from parsed'}))
def test_prepare_context_with_parse_merge(mocked_get_parsed_context):
"""On parsed_context override context."""
context = Context({'c1': 'cv1', 'c2': 'cv2'})
pypyr.pipelinerunner.prepare_context(pipeline='pipe def',
context_in_args='arb context input',
context=context)
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
assert context == {'a': 'av1', 'c1': 'new value from parsed', 'c2': 'cv2'}
# ------------------------- prepare_context - --------------------------------#
# ------------------------- run_pipeline -------------------------------------#
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'a': 'b'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='arb/dir')
def test_load_and_run_pipeline_pass(mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""On run_pipeline pass correct params to all methods."""
pipeline_cache.clear()
pypeloader_cache.clear()
with patch('pypyr.context.Context') as mock_context:
mock_context.return_value = Context()
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input')
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='arb/dir')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
# assure that freshly created context instance does have working dir set
assert mock_context.return_value.working_dir == 'arb/dir'
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'a': 'b'})
# No called steps, just on_failure since err on parse context already
sr = mocked_steps_runner.return_value
sr.run_step_groups.assert_called_once_with(groups=['steps'],
success_group='on_success',
failure_group='on_failure')
sr.run_failure_step_group.assert_not_called()
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context())
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='arb/dir')
def test_load_and_run_pipeline_pass_skip_parse_context(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""run_pipeline passes correct params to all methods."""
pipeline_cache.clear()
pypeloader_cache.clear()
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
parse_input=False)
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='arb/dir')
mocked_get_parsed_context.assert_not_called()
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={})
# No called steps, just on_failure since err on parse context already
sr = mocked_steps_runner.return_value
sr.run_step_groups.assert_called_once_with(groups=['steps'],
success_group='on_success',
failure_group='on_failure')
sr.run_failure_step_group.assert_not_called()
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context')
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='arb/dir')
def test_load_and_run_pipeline_parse_context_error(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""run_pipeline on_failure with empty Context if context parse fails."""
pipeline_cache.clear()
pypeloader_cache.clear()
mocked_get_parsed_context.side_effect = ContextError
with pytest.raises(ContextError):
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input')
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='arb/dir')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context=Context())
# No called steps, just on_failure since err on parse context already
sr = mocked_steps_runner.return_value
sr.run_step_groups.assert_not_called()
sr.run_failure_step_group.assert_called_once_with('on_failure')
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context())
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='arb/dir')
def test_load_and_run_pipeline_steps_error_raises(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""run_pipeline raises error if steps group fails."""
pipeline_cache.clear()
pypeloader_cache.clear()
# First time it runs is steps - give a KeyNotInContextError.
mocked_steps_runner.return_value.run_step_groups.side_effect = (
KeyNotInContextError)
with pytest.raises(KeyNotInContextError):
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input')
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='arb/dir')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['steps'],
success_group='on_success',
failure_group='on_failure'
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'1': 'context 1', '2': 'context2'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='from/context')
def test_load_and_run_pipeline_with_existing_context_pass(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""Run run_pipeline pass correct params to all methods."""
pipeline_cache.clear()
pypeloader_cache.clear()
existing_context = Context({'2': 'original', '3': 'new'})
existing_context.working_dir = 'from/context'
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
context=existing_context)
assert existing_context.working_dir == 'from/context'
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='from/context')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['steps'],
success_group='on_success',
failure_group='on_failure'
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'1': 'context 1',
'2': 'context2',
'3': 'new'})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'1': 'context 1', '2': 'context2'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='from/context')
def test_load_and_run_pipeline_with_group_specified(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""Pass run_pipeline with specified group."""
pipeline_cache.clear()
pypeloader_cache.clear()
existing_context = Context({'2': 'original', '3': 'new'})
existing_context.working_dir = 'from/context'
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
context=existing_context,
groups=['arb1', 'arb2'])
assert existing_context.working_dir == 'from/context'
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='from/context')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['arb1', 'arb2'],
success_group=None,
failure_group=None
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'1': 'context 1',
'2': 'context2',
'3': 'new'})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'1': 'context 1', '2': 'context2'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='from/context')
def test_load_and_run_pipeline_with_success_group_specified(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""Pass run_pipeline with specified success group."""
pipeline_cache.clear()
pypeloader_cache.clear()
existing_context = Context({'2': 'original', '3': 'new'})
existing_context.working_dir = 'from/context'
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
context=existing_context,
success_group='arb1')
assert existing_context.working_dir == 'from/context'
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='from/context')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['steps'],
success_group='arb1',
failure_group=None
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'1': 'context 1',
'2': 'context2',
'3': 'new'})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'1': 'context 1', '2': 'context2'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='from/context')
def test_load_and_run_pipeline_with_failure_group_specified(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""Pass run_pipeline with specified failure group."""
pipeline_cache.clear()
pypeloader_cache.clear()
existing_context = Context({'2': 'original', '3': 'new'})
existing_context.working_dir = 'from/context'
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
context=existing_context,
failure_group='arb1')
assert existing_context.working_dir == 'from/context'
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='from/context')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['steps'],
success_group=None,
failure_group='arb1'
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'1': 'context 1',
'2': 'context2',
'3': 'new'})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context',
return_value=Context({'1': 'context 1', '2': 'context2'}))
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
@patch('pypyr.moduleloader.set_working_directory')
@patch('pypyr.moduleloader.get_working_directory', return_value='from/context')
def test_load_and_run_pipeline_with_group_and_failure_group_specified(
mocked_get_work_dir,
mocked_set_work_dir,
mocked_get_pipe_def,
mocked_get_parsed_context,
mocked_steps_runner):
"""Pass run_pipeline with specified group and failure group."""
pipeline_cache.clear()
pypeloader_cache.clear()
existing_context = Context({'2': 'original', '3': 'new'})
existing_context.working_dir = 'from/context'
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
context=existing_context,
groups=['arb1'],
failure_group='arb2')
assert existing_context.working_dir == 'from/context'
mocked_set_work_dir.assert_not_called()
mocked_get_pipe_def.assert_called_once_with(pipeline_name='arb pipe',
working_dir='from/context')
mocked_get_parsed_context.assert_called_once_with(
pipeline='pipe def',
context_in_args='arb context input')
mocked_steps_runner.return_value.run_step_groups.assert_called_once_with(
groups=['arb1'],
success_group=None,
failure_group='arb2'
)
mocked_steps_runner.assert_called_once_with(pipeline_definition='pipe def',
context={'1': 'context 1',
'2': 'context2',
'3': 'new'})
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context')
def test_run_pipeline_parse_context_error_failure(
mocked_get_parsed_context,
mocked_steps_runner):
"""Raise on_failure from run_pipeline."""
mocked_get_parsed_context.side_effect = ValueError('arb')
sr = mocked_steps_runner.return_value
ctx = pypyr.context.Context()
with pytest.raises(ValueError) as err:
pypyr.pipelinerunner.run_pipeline(
pipeline='arb pipe',
context=ctx,
pipeline_context_input='arb context input',
groups=['gr'],
success_group='sg',
failure_group='fg')
assert str(err.value) == 'arb'
mocked_get_parsed_context.assert_called_once_with(
pipeline='arb pipe',
context_in_args='arb context input')
mocked_steps_runner.assert_called_once_with(pipeline_definition='arb pipe',
context=ctx)
# No called steps, just on_failure since err on parse context already
sr.run_step_groups.assert_not_called()
sr.run_failure_step_group.assert_called_once_with('fg')
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context')
def test_run_pipeline_parse_context_error_failure_stop(
mocked_get_parsed_context,
mocked_steps_runner):
"""Raise on_failure from run_pipeline with Stop."""
mocked_get_parsed_context.side_effect = ValueError('arb')
sr = mocked_steps_runner.return_value
sr.run_failure_step_group.side_effect = Stop()
ctx = pypyr.context.Context()
with pytest.raises(Stop):
pypyr.pipelinerunner.run_pipeline(
pipeline='arb pipe',
context=ctx,
pipeline_context_input='arb context input')
mocked_get_parsed_context.assert_called_once_with(
pipeline='arb pipe',
context_in_args='arb context input')
mocked_steps_runner.assert_called_once_with(pipeline_definition='arb pipe',
context=ctx)
# No called steps, just on_failure since err on parse context already
sr.run_step_groups.assert_not_called()
sr.run_failure_step_group.assert_called_once_with('on_failure')
@patch('pypyr.pipelinerunner.StepsRunner', autospec=True)
@patch('pypyr.pipelinerunner.get_parsed_context')
def test_run_pipeline_parse_context_error_failure_stopstepgroup(
mocked_get_parsed_context,
mocked_steps_runner):
"""With run_pipeline on_failure swallow StopStepGroup."""
mocked_get_parsed_context.side_effect = ValueError('arb')
sr = mocked_steps_runner.return_value
sr.run_failure_step_group.side_effect = StopStepGroup()
ctx = pypyr.context.Context()
with pytest.raises(ValueError) as err:
pypyr.pipelinerunner.run_pipeline(
pipeline='arb pipe',
context=ctx,
pipeline_context_input='arb context input')
assert str(err.value) == 'arb'
mocked_get_parsed_context.assert_called_once_with(
pipeline='arb pipe',
context_in_args='arb context input')
mocked_steps_runner.assert_called_once_with(pipeline_definition='arb pipe',
context=ctx)
# No called steps, just on_failure since err on parse context already
sr.run_step_groups.assert_not_called()
sr.run_failure_step_group.assert_called_once_with('on_failure')
# ------------------------- run_pipeline -------------------------------------#
# ------------------------- loader -------------------------------------------#
def test_arbitrary_loader_module_not_found():
"""Raise when loader not found."""
with pytest.raises(PyModuleNotFoundError):
pipeline_cache.clear()
pypyr.moduleloader.set_working_directory('arb/dir')
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
loader='not_found_loader'
)
def test_loader_no_get_pipeline_definition():
"""Arbitrary loader module without `get_pipeline_definition` function."""
import sys
current_module = sys.modules[__name__]
pypyr.moduleloader.set_working_directory('arb/dir')
with patch_logger(
'pypyr.cache.loadercache',
logging.ERROR) as mock_logger_error:
with pytest.raises(AttributeError) as err:
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
loader=__name__)
assert str(err.value) == f"module '{__name__}' " \
"has no attribute 'get_pipeline_definition'"
mock_logger_error.assert_called_once_with(
f"The pipeline loader {current_module} doesn't have a "
"get_pipeline_definition(pipeline_name, working_dir) function."
)
@patch('pypyr.pipelinerunner.run_pipeline')
@patch('pypyr.pypeloaders.fileloader.get_pipeline_definition',
return_value='pipe def')
def test_empty_loader_set_up_to_default(mock_get_pipeline_definition,
mock_run_pipeline):
"""Default loader should be pypyr.pypeloaders.fileloader."""
pypyr.moduleloader.set_working_directory('arb/dir')
pipeline_cache.clear()
pypeloader_cache.clear()
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
)
mock_get_pipeline_definition.assert_called_once_with(
pipeline_name='arb pipe',
working_dir='arb/dir'
)
mock_run_pipeline.assert_called_once_with(
context={},
parse_input=True,
pipeline='pipe def',
pipeline_context_input='arb context input',
groups=None,
success_group=None,
failure_group=None
)
@patch('pypyr.pipelinerunner.run_pipeline')
def test_arb_loader(mock_run_pipeline):
"""Test loader set up."""
pypyr.moduleloader.set_working_directory('tests')
pipeline_cache.clear()
pypyr.pipelinerunner.load_and_run_pipeline(
pipeline_name='arb pipe',
pipeline_context_input='arb context input',
loader='arbpack.arbloader',
groups=None,
success_group=None,
failure_group=None
)
mock_run_pipeline.assert_called_once_with(
context={},
parse_input=True,
pipeline={'pipeline_name': 'arb pipe',
'working_dir': 'tests'},
pipeline_context_input='arb context input',
groups=None,
success_group=None,
failure_group=None
)
# ------------------------- loader -------------------------------------------#
# ------------------------- Stop & StopPipeline ------------------------------#
def get_step_pipeline():
"""Test pipeline for jump."""
return {
'sg1': [
'sg1.step1',
'sg1.step2'
],
'sg2': [
'sg2.step1',
'sg2.step2'
],
'sg3': [
'sg3.step1',
'sg3.step2'
],
'sg4': [
'sg4.step1',
'sg4.step2'
],
'sg5': [
'sg5.step1'
],
'sg6': [
'sg6.step1',
'sg6.step2'
]
}
def nothing_step(context):
"""Mock step."""
pass
def stop_pipe_step(context):
"""Mock stop pipeline step."""
raise StopPipeline()
def stop_all_step(context):
"""Mock stop all step."""
raise Stop()
@patch('pypyr.cache.stepcache.step_cache.get_step')
def test_stop_pipeline(mock_step_cache):
"""When StopPipeline stop pipeline execution."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 (StopPipeline)
mock_step_cache.side_effect = [
nothing_step, # 2.1
nothing_step, # 2.2
stop_pipe_step, # 3.1
]
context = Context()
context.pipeline_name = 'arb'
pypyr.pipelinerunner.run_pipeline(
pipeline=get_step_pipeline(),
context=context,
pipeline_context_input='arb context input',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
@patch('pypyr.cache.stepcache.step_cache.get_step')
def test_stop_pipeline_for(mock_step_cache):
"""When StopPipeline stop pipeline execution in for loop."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 x2 (StopPipeline)
nothing_mock = DeepCopyMagicMock()
mock312 = DeepCopyMagicMock()
def step31(context):
mock312(context)
if context['i'] == 'two':
raise StopPipeline()
mock_step_cache.side_effect = [
nothing_mock, # 2.1
nothing_mock, # 2.2
step31, # 3.1
]
context = Context()
context.pipeline_name = 'arb'
pypyr.pipelinerunner.run_pipeline(
pipeline=get_for_step_pipeline(),
context=context,
pipeline_context_input='arb context input',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert nothing_mock.mock_calls == [call({}),
call({})
]
assert mock312.mock_calls == [call({'i': 'one'}),
call({'i': 'two'})]
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
def get_retry_step_pipeline():
"""Test pipeline for retry loop."""
return {
'sg1': [
'sg1.step1',
'sg1.step2'
],
'sg2': [
'sg2.step1',
'sg2.step2'
],
'sg3': [
{'name': 'sg3.step1',
'retry': {'max': 3}
},
'sg3.step2'
],
'sg4': [
'sg4.step1',
'sg4.step2'
],
'sg5': [
'sg5.step1'
],
'sg6': [
'sg6.step1',
'sg6.step2'
]
}
@patch('pypyr.cache.stepcache.step_cache.get_step')
def test_stop_pipeline_retry(mock_step_cache):
"""When StopPipeline stop pipeline execution in retry loop."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 x2 (StopPipeline)
nothing_mock = DeepCopyMagicMock()
mock312 = DeepCopyMagicMock()
def step31(context):
mock312(context)
if context['retryCounter'] == 2:
raise StopPipeline()
else:
raise ValueError(context['retryCounter'])
mock_step_cache.side_effect = [
nothing_mock, # 2.1
nothing_mock, # 2.2
step31, # 3.1
]
context = Context()
context.pipeline_name = 'arb'
pypyr.pipelinerunner.run_pipeline(
pipeline=get_retry_step_pipeline(),
context=context,
pipeline_context_input='arb context input',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert nothing_mock.mock_calls == [call({}),
call({})
]
assert mock312.mock_calls == [call({'retryCounter': 1}),
call({'retryCounter': 2})]
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
@patch('pypyr.cache.stepcache.step_cache.get_step')
@patch('pypyr.cache.pipelinecache.pipeline_cache.get_pipeline',
return_value=get_step_pipeline())
def test_stop_all(mock_get_pipe_def, mock_step_cache):
"""Stop stops pipeline execution."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 (StopPipeline)
mock_step_cache.side_effect = [
nothing_step, # 2.1
nothing_step, # 2.2
stop_all_step, # 3.1
]
pypyr.pipelinerunner.main(
pipeline_name='arb',
pipeline_context_input='arb context input',
working_dir='/arb',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
def get_while_step_pipeline():
"""Test pipeline for while."""
return {
'sg1': [
'sg1.step1',
'sg1.step2'
],
'sg2': [
'sg2.step1',
'sg2.step2'
],
'sg3': [
{'name': 'sg3.step1',
'while': {
'max': 3},
},
'sg3.step2'
],
'sg4': [
'sg4.step1',
'sg4.step2'
],
'sg5': [
'sg5.step1'
],
'sg6': [
'sg6.step1',
'sg6.step2'
]
}
@patch('pypyr.cache.stepcache.step_cache.get_step')
@patch('pypyr.cache.pipelinecache.pipeline_cache.get_pipeline',
return_value=get_while_step_pipeline())
def test_stop_all_while(mock_get_pipe_def, mock_step_cache):
"""Stop stops pipeline execution inside a while."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 loop 3, StopPipeline on 2
nothing_mock = DeepCopyMagicMock()
mock312 = DeepCopyMagicMock()
def step31(context):
mock312(context)
if context['whileCounter'] == 2:
raise Stop()
mock_step_cache.side_effect = [
nothing_mock, # 2.1
nothing_mock, # 2.2
step31 # 3.1.2
]
pypyr.pipelinerunner.main(
pipeline_name='arb',
pipeline_context_input='arb context input',
working_dir='/arb',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
assert nothing_mock.mock_calls == [call({}),
call({})
]
assert mock312.mock_calls == [call({'whileCounter': 1}),
call({'whileCounter': 2})]
def get_for_step_pipeline():
"""Test pipeline for for loop."""
return {
'sg1': [
'sg1.step1',
'sg1.step2'
],
'sg2': [
'sg2.step1',
'sg2.step2'
],
'sg3': [
{'name': 'sg3.step1',
'foreach': ['one', 'two', 'three']
},
'sg3.step2'
],
'sg4': [
'sg4.step1',
'sg4.step2'
],
'sg5': [
'sg5.step1'
],
'sg6': [
'sg6.step1',
'sg6.step2'
]
}
@patch('pypyr.cache.stepcache.step_cache.get_step')
@patch('pypyr.cache.pipelinecache.pipeline_cache.get_pipeline',
return_value=get_for_step_pipeline())
def test_stop_all_for(mock_get_pipe_def, mock_step_cache):
"""Stop stops pipeline execution inside a for loop."""
# Sequence: sg2 - sg2.1, 2.2
# sg3 - sg3.1 loop 3, StopPipeline on 2
nothing_mock = DeepCopyMagicMock()
mock312 = DeepCopyMagicMock()
def step31(context):
mock312(context)
if context['i'] == 'two':
raise Stop()
mock_step_cache.side_effect = [
nothing_mock, # 2.1
nothing_mock, # 2.2
step31 # 3.1.2
]
pypyr.pipelinerunner.main(
pipeline_name='arb',
pipeline_context_input='arb context input',
working_dir='/arb',
groups=['sg2', 'sg3', 'sg4', 'sg1'],
success_group='sg5',
failure_group=None
)
assert mock_step_cache.mock_calls == [call('sg2.step1'),
call('sg2.step2'),
call('sg3.step1')
]
assert nothing_mock.mock_calls == [call({}),
call({})
]
assert mock312.mock_calls == [call({'i': 'one'}),
call({'i': 'two'})]
# ------------------------- END Stop & StopPipeline --------------------------#
| 36.282258
| 79
| 0.60858
| 4,381
| 40,491
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| 0.052499
| 0.032409
| 0.046323
| 0.048397
| 0.861464
| 0.833549
| 0.808962
| 0.788739
| 0.773399
| 0.761645
| 0
| 0.014262
| 0.267492
| 40,491
| 1,115
| 80
| 36.314798
| 0.765981
| 0.096985
| 0
| 0.766204
| 0
| 0
| 0.185297
| 0.085691
| 0
| 0
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| 0.125
| 1
| 0.050926
| false
| 0.006944
| 0.015046
| 0
| 0.072917
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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0
| 7
|
183dd4a44b239ee0dae7efc25524fe3979f85833
| 8,069
|
py
|
Python
|
fireant/tests/queries/test_build_orderbys.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | 2
|
2019-05-12T15:14:52.000Z
|
2020-05-28T07:13:34.000Z
|
fireant/tests/queries/test_build_orderbys.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | null | null | null |
fireant/tests/queries/test_build_orderbys.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | null | null | null |
from unittest import TestCase
import fireant as f
from fireant.tests.dataset.mocks import mock_dataset
from pypika import Order
timestamp_daily = f.day(mock_dataset.fields.timestamp)
class QueryBuilderOrderTests(TestCase):
maxDiff = None
def test_build_query_order_by(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(timestamp_daily) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp"', str(queries[0]))
def test_build_query_order_by_asc(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(timestamp_daily, orientation=Order.asc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp" ASC', str(queries[0]))
def test_build_query_order_by_desc(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(timestamp_daily, orientation=Order.desc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp" DESC', str(queries[0]))
def test_build_query_order_by_aggregate_field(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(mock_dataset.fields.votes) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$votes"', str(queries[0]))
def test_build_query_order_by_aggregate_field_asc(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(mock_dataset.fields.votes, orientation=Order.asc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$votes" ASC', str(queries[0]))
def test_build_query_order_by_aggregate_field_desc(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(mock_dataset.fields.votes, orientation=Order.desc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$votes" DESC', str(queries[0]))
def test_build_query_order_by_multiple_dimensions(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily, mock_dataset.fields['candidate-name']) \
.orderby(timestamp_daily) \
.orderby(mock_dataset.fields['candidate-name']) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_name" "$candidate-name",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-name" '
'ORDER BY "$timestamp","$candidate-name"', str(queries[0]))
def test_build_query_order_by_multiple_dimensions_with_different_orientations(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily, mock_dataset.fields['candidate-name']) \
.orderby(timestamp_daily, orientation=Order.desc) \
.orderby(mock_dataset.fields['candidate-name'], orientation=Order.asc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_name" "$candidate-name",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-name" '
'ORDER BY "$timestamp" DESC,"$candidate-name" ASC', str(queries[0]))
def test_build_query_order_by_aggregate_fields_and_fields(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(timestamp_daily) \
.orderby(mock_dataset.fields.votes) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp","$votes"', str(queries[0]))
def test_build_query_order_by_aggregate_fields_and_fields_with_different_orientations(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(timestamp_daily, orientation=Order.asc) \
.orderby(mock_dataset.fields.votes, orientation=Order.desc) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp" ASC,"$votes" DESC', str(queries[0]))
def test_build_query_order_by_field_not_selected_in_query_added_to_selects(self):
queries = mock_dataset.query \
.widget(f.ReactTable(mock_dataset.fields.votes)) \
.dimension(timestamp_daily) \
.orderby(mock_dataset.fields.wins) \
.sql
self.assertEqual(len(queries), 1)
self.assertEqual('SELECT '
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$wins"', str(queries[0]))
| 41.379487
| 96
| 0.525096
| 735
| 8,069
| 5.579592
| 0.092517
| 0.091197
| 0.091197
| 0.085833
| 0.927091
| 0.927091
| 0.90417
| 0.898317
| 0.887345
| 0.87881
| 0
| 0.004171
| 0.346263
| 8,069
| 194
| 97
| 41.592784
| 0.77327
| 0
| 0
| 0.77707
| 0
| 0
| 0.21626
| 0.047837
| 0
| 0
| 0
| 0
| 0.140127
| 1
| 0.070064
| false
| 0
| 0.025478
| 0
| 0.10828
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
185bd20d4f302507714238dfcb532edd28ffa04b
| 155
|
py
|
Python
|
src/scripts/__init__.py
|
arnabbiswas1/predict_future_sales
|
24447c7111ca286197a0a5cf7c982aad8e38e3c8
|
[
"MIT"
] | null | null | null |
src/scripts/__init__.py
|
arnabbiswas1/predict_future_sales
|
24447c7111ca286197a0a5cf7c982aad8e38e3c8
|
[
"MIT"
] | null | null | null |
src/scripts/__init__.py
|
arnabbiswas1/predict_future_sales
|
24447c7111ca286197a0a5cf7c982aad8e38e3c8
|
[
"MIT"
] | null | null | null |
INPUT_DATA_DIR = '/home/jupyter/kaggle/predict_future_sales/data/read_only'
PROCESSED_DATA_DIR = '/home/jupyter/kaggle/predict_future_sales/data/processed'
| 77.5
| 79
| 0.851613
| 23
| 155
| 5.347826
| 0.521739
| 0.113821
| 0.178862
| 0.292683
| 0.747967
| 0.747967
| 0.747967
| 0.747967
| 0.747967
| 0
| 0
| 0
| 0.032258
| 155
| 2
| 79
| 77.5
| 0.82
| 0
| 0
| 0
| 0
| 0
| 0.717949
| 0.717949
| 0
| 0
| 0
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| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 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
| 9
|
a186cf9d5ec94d40c4a4adede25bda48ff6e06e2
| 69,814
|
py
|
Python
|
mpf/tests/test_SegmentDisplay.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | null | null | null |
mpf/tests/test_SegmentDisplay.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | null | null | null |
mpf/tests/test_SegmentDisplay.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | null | null | null |
from unittest.mock import patch, call, ANY, Mock
from mpf.core.rgb_color import RGBColor
from mpf.devices.segment_display.text_stack_entry import TextStackEntry
from mpf.devices.segment_display.transitions import NoTransition, PushTransition, CoverTransition, UncoverTransition, \
WipeTransition, TransitionRunner, SplitTransition
from mpf.devices.segment_display.segment_display_text import SegmentDisplayText
from mpf.platforms.interfaces.segment_display_platform_interface import FlashingType, \
SegmentDisplaySoftwareFlashPlatformInterface
from mpf.tests.MpfFakeGameTestCase import MpfFakeGameTestCase
from mpf.tests.MpfTestCase import test_config
class TestSegmentDisplay(MpfFakeGameTestCase):
def get_config_file(self):
return 'config.yaml'
def get_machine_path(self):
return 'tests/machine_files/segment_display/'
@test_config("game.yaml")
def test_game(self):
"""Test segment displays in a game for the documentation."""
display1 = self.machine.segment_displays["display1"]
display2 = self.machine.segment_displays["display2"]
display3 = self.machine.segment_displays["display3"]
display4 = self.machine.segment_displays["display4"]
display5 = self.machine.segment_displays["display5"]
self.assertEqual("", display1.hw_display.text)
self.assertEqual("", display2.hw_display.text)
self.assertEqual("", display3.hw_display.text)
self.assertEqual("", display4.hw_display.text)
self.assertEqual("", display5.hw_display.text)
self.start_game()
self.assertEqual("0", display1.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display1.hw_display.flashing)
self.assertEqual("", display2.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("1", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.add_player()
self.assertEqual("0", display1.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display1.hw_display.flashing)
self.assertEqual("0", display2.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("1", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.machine.game.player.score += 100
self.advance_time_and_run()
self.assertEqual("100", display1.hw_display.text)
self.drain_all_balls()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display1.hw_display.flashing)
self.assertEqual("0", display2.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("1", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.machine.game.player.score += 23
self.advance_time_and_run()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual("23", display2.hw_display.text)
self.drain_all_balls()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display1.hw_display.flashing)
self.assertEqual("23", display2.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("2", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.drain_all_balls()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display1.hw_display.flashing)
self.assertEqual("23", display2.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("2", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.drain_all_balls()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display1.hw_display.flashing)
self.assertEqual("23", display2.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("3", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
self.drain_all_balls()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display1.hw_display.flashing)
self.assertEqual("23", display2.hw_display.text)
self.assertEqual(FlashingType.FLASH_ALL, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("3", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
# game ended
self.drain_all_balls()
self.assertGameIsNotRunning()
self.assertEqual("100", display1.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display1.hw_display.flashing)
self.assertEqual("23", display2.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display2.hw_display.flashing)
self.assertEqual("", display3.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display3.hw_display.flashing)
self.assertEqual("", display4.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display4.hw_display.flashing)
self.assertEqual("", display5.hw_display.text)
self.assertEqual(FlashingType.NO_FLASH, display5.hw_display.flashing)
def test_player(self):
display1 = self.machine.segment_displays["display1"]
display2 = self.machine.segment_displays["display2"]
self.post_event("test_event1")
self.advance_time_and_run()
self.assertEqual("HELLO1", display1.hw_display.text)
self.assertEqual("HELLO2", display2.hw_display.text)
self.post_event("test_event2")
self.advance_time_and_run()
self.assertEqual("", display1.hw_display.text)
self.assertEqual("HELLO2", display2.hw_display.text)
self.post_event("test_flashing")
self.assertEqual(FlashingType.FLASH_ALL, display1.hw_display.flashing)
self.post_event("test_no_flashing")
self.assertEqual(FlashingType.NO_FLASH, display1.hw_display.flashing)
self.post_event("test_event3")
self.advance_time_and_run()
self.assertEqual("", display1.hw_display.text)
self.assertEqual("", display2.hw_display.text)
self.post_event("test_score")
self.advance_time_and_run()
self.assertEqual("1: 0", display1.hw_display.text)
self.assertEqual("2: 0", display2.hw_display.text)
self.machine.variables.set_machine_var("test", 42)
self.advance_time_and_run()
self.assertEqual("1: 0", display1.hw_display.text)
self.assertEqual("2: 42", display2.hw_display.text)
self.start_game()
self.machine.game.player.score += 100
self.advance_time_and_run()
self.assertEqual("1: 100", display1.hw_display.text)
self.assertEqual("2: 42", display2.hw_display.text)
self.machine.game.player.score += 23
self.machine.variables.set_machine_var("test", 1337)
self.advance_time_and_run()
self.assertEqual("1: 123", display1.hw_display.text)
self.assertEqual("2: 1337", display2.hw_display.text)
self.post_event("test_flash")
self.advance_time_and_run(.1)
self.assertEqual("TEST", display1.hw_display.text)
self.assertEqual("2: 1337", display2.hw_display.text)
self.advance_time_and_run(2)
self.assertEqual("1: 123", display1.hw_display.text)
self.assertEqual("2: 1337", display2.hw_display.text)
self.machine.modes["mode1"].start()
self.advance_time_and_run(.1)
self.assertEqual("MODE1", display1.hw_display.text)
self.assertEqual("MODE1", display2.hw_display.text)
self.machine.modes["mode1"].stop()
self.advance_time_and_run(7)
self.assertEqual("1: 123", display1.hw_display.text)
self.assertEqual("2: 1337", display2.hw_display.text)
self.machine.modes["mode1"].start()
self.advance_time_and_run(5)
self.assertEqual("MODE1", display1.hw_display.text)
self.assertEqual("MODE1", display2.hw_display.text)
self.advance_time_and_run(5)
self.assertEqual("MODE1", display1.hw_display.text)
self.assertEqual("2: 1337", display2.hw_display.text)
def test_scoring(self):
display1 = self.machine.segment_displays["display1"]
display2 = self.machine.segment_displays["display2"]
# default scoring
self.post_event("test_score_two_player")
# one player game
self.start_game()
# first display shows score. second empty
self.assertEqual("0", display1.hw_display.text)
self.assertEqual("0", display2.hw_display.text)
# player scores
self.machine.game.player.score += 42
self.advance_time_and_run(.01)
self.assertEqual("42", display1.hw_display.text)
self.assertEqual("0", display2.hw_display.text)
# add player
self.add_player()
self.advance_time_and_run(.01)
self.assertEqual("42", display1.hw_display.text)
self.assertEqual("0", display2.hw_display.text)
@patch("mpf.platforms.interfaces.segment_display_platform_interface.SegmentDisplaySoftwareFlashPlatformInterface.__abstractmethods__", set())
@patch("mpf.platforms.interfaces.segment_display_platform_interface.SegmentDisplaySoftwareFlashPlatformInterface._set_text")
def test_software_flash_platform_interface(self, mock_set_text):
display = SegmentDisplaySoftwareFlashPlatformInterface("1")
display.set_text("12345 ABCDE", FlashingType.NO_FLASH)
display.set_software_flash(False)
self.assertTrue(mock_set_text.called)
mock_set_text.assert_has_calls([call("12345 ABCDE")])
display.set_software_flash(True)
mock_set_text.reset_mock()
display.set_text("12345 ABCDE", FlashingType.FLASH_ALL)
display.set_software_flash(False)
self.assertTrue(mock_set_text.called)
mock_set_text.assert_has_calls([call("12345 ABCDE"), call("")])
display.set_software_flash(True)
mock_set_text.reset_mock()
display.set_text("12345 ABCDE", FlashingType.FLASH_MATCH)
display.set_software_flash(False)
self.assertTrue(mock_set_text.called)
mock_set_text.assert_has_calls([call("12345 ABCDE"), call("12345 ABC ")])
display.set_software_flash(True)
mock_set_text.reset_mock()
display.set_text("12345 ABCDE", FlashingType.FLASH_MASK, "FFFFF______")
display.set_software_flash(False)
self.assertTrue(mock_set_text.called)
mock_set_text.assert_has_calls([call("12345 ABCDE"), call(" ABCDE")])
display.set_software_flash(True)
mock_set_text.reset_mock()
def test_segment_display_text(self):
"""Test the SegmentDisplayText class."""
# text equal to display length
test_text = SegmentDisplayText("test", 4, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(4, len(test_text))
self.assertEqual("test", SegmentDisplayText.convert_to_str(test_text))
# text longer than display
test_text = SegmentDisplayText("testing", 4, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(4, len(test_text))
self.assertEqual("ting", SegmentDisplayText.convert_to_str(test_text))
# text shorter than display
test_text = SegmentDisplayText("test", 7, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(7, len(test_text))
self.assertEqual(" test", SegmentDisplayText.convert_to_str(test_text))
# collapse commas
test_text = SegmentDisplayText("25,000", 7, False, True)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(7, len(test_text))
self.assertTrue(test_text[3].comma)
self.assertEqual(ord("5"), test_text[3].char_code)
self.assertFalse(test_text[4].comma)
self.assertEqual(ord("0"), test_text[4].char_code)
self.assertEqual(" 25,000", SegmentDisplayText.convert_to_str(test_text))
# do not collapse commas
test_text = SegmentDisplayText("25,000", 7, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(7, len(test_text))
self.assertFalse(test_text[2].comma)
self.assertEqual(ord("5"), test_text[2].char_code)
self.assertFalse(test_text[3].comma)
self.assertEqual(ord(","), test_text[3].char_code)
self.assertEqual(" 25,000", SegmentDisplayText.convert_to_str(test_text))
# collapse dots
test_text = SegmentDisplayText("25.000", 7, True, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(7, len(test_text))
self.assertTrue(test_text[3].dot)
self.assertEqual(ord("5"), test_text[3].char_code)
self.assertFalse(test_text[4].dot)
self.assertEqual(ord("0"), test_text[4].char_code)
self.assertEqual(" 25.000", SegmentDisplayText.convert_to_str(test_text))
# do not collapse dots
test_text = SegmentDisplayText("25.000", 7, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(7, len(test_text))
self.assertFalse(test_text[2].dot)
self.assertEqual(ord("5"), test_text[2].char_code)
self.assertFalse(test_text[3].dot)
self.assertEqual(ord("."), test_text[3].char_code)
self.assertEqual(" 25.000", SegmentDisplayText.convert_to_str(test_text))
# no colors
test_text = SegmentDisplayText("COLOR", 5, False, False)
self.assertTrue(isinstance(test_text, list))
self.assertEqual(5, len(test_text))
colors = SegmentDisplayText.get_colors(test_text)
self.assertIsNone(colors)
# single color
test_text = SegmentDisplayText("COLOR", 5, False, False, [RGBColor("ffffff")])
self.assertTrue(isinstance(test_text, list))
self.assertEqual(5, len(test_text))
colors = SegmentDisplayText.get_colors(test_text)
self.assertEqual(5, len(colors))
self.assertEqual(5, colors.count(RGBColor("ffffff")))
# multiple colors
test_text = SegmentDisplayText("COLOR", 5, False, False,
[RGBColor("white"), RGBColor("red"), RGBColor("green"), RGBColor("blue"),
RGBColor("cyan")])
self.assertTrue(isinstance(test_text, list))
self.assertEqual(5, len(test_text))
colors = SegmentDisplayText.get_colors(test_text)
self.assertEqual(5, len(colors))
self.assertEqual([RGBColor("white"), RGBColor("red"), RGBColor("green"),
RGBColor("blue"), RGBColor("cyan")], colors)
# multiple colors (fewer colors than letters)
test_text = SegmentDisplayText("COLOR", 5, False, False,
[RGBColor("white"), RGBColor("red")])
self.assertTrue(isinstance(test_text, list))
self.assertEqual(5, len(test_text))
colors = SegmentDisplayText.get_colors(test_text)
self.assertEqual(5, len(colors))
self.assertEqual([RGBColor("white"), RGBColor("red"), RGBColor("red"),
RGBColor("red"), RGBColor("red")], colors)
# multiple colors (fewer colors than letters and fewer letters than characters)
test_text = SegmentDisplayText("COLOR", 8, False, False,
[RGBColor("white"), RGBColor("red")])
self.assertTrue(isinstance(test_text, list))
self.assertEqual(8, len(test_text))
colors = SegmentDisplayText.get_colors(test_text)
self.assertEqual(8, len(colors))
self.assertEqual([RGBColor("white"), RGBColor("white"), RGBColor("white"), RGBColor("white"),
RGBColor("red"), RGBColor("red"), RGBColor("red"), RGBColor("red")], colors)
def test_transitions(self):
"""Test segment display text transitions."""
self._test_no_transition()
self._test_push_transition()
self._test_cover_transition()
self._test_uncover_transition()
self._test_wipe_transition()
self._test_split_transition()
def _test_no_transition(self):
"""Test no transition."""
# no transition (with colors)
transition = NoTransition(5, False, False, {'direction': 'right'})
self.assertEqual(1, transition.get_step_count())
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(0, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
with self.assertRaises(AssertionError):
transition.get_transition_step(1, "12345", "ABCDE")
def _test_push_transition(self):
"""Test push transition."""
# push right (with colors)
transition = PushTransition(5, False, False, {'direction': 'right'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("E1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("red"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(0, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("DE123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(1, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("CDE12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(2, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("BCDE1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(3, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(4, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
# push left
transition = PushTransition(5, False, False, {'direction': 'left'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("2345A",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("345AB",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("45ABC",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("5ABCD",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# push right (display larger than text)
transition = PushTransition(8, False, False, {'direction': 'right'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual("E 1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("DE 123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("CDE 12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("BCDE 1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual(" ABCDE ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual(" ABCDE ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual(" ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
# push left (display larger than text)
transition = PushTransition(8, False, False, {'direction': 'left'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(" 12345 ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual(" 12345 ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("12345 ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("2345 A",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("345 AB",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("45 ABC",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("5 ABCD",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual(" ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
# push right (collapse commas)
transition = PushTransition(5, False, True, {'direction': 'right'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("0 1,00",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "1,000", "25,000")))
self.assertEqual("00 1,0",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "1,000", "25,000")))
self.assertEqual("000 1,",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "1,000", "25,000")))
self.assertEqual("5,000 ",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "1,000", "25,000")))
self.assertEqual("25,000",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "1,000", "25,000")))
# push left (collapse commas)
transition = PushTransition(5, False, True, {'direction': 'left'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("1,0002",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "1,000", "25,000")))
self.assertEqual("00025,",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "1,000", "25,000")))
self.assertEqual("0025,0",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "1,000", "25,000")))
self.assertEqual("025,00",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "1,000", "25,000")))
self.assertEqual("25,000",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "1,000", "25,000")))
# push right (with text and colors)
transition = PushTransition(5, False, False,
{'direction': 'right', 'text': '-->', 'text_color': [RGBColor("yellow")]})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(">1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual([RGBColor("yellow"), RGBColor("red"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(0, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("->123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual([RGBColor("yellow"), RGBColor("yellow"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(1, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("-->12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual([RGBColor("yellow"), RGBColor("yellow"), RGBColor("yellow"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(2, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("E-->1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("yellow"), RGBColor("yellow"),
RGBColor("yellow"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(3, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("DE-->",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("yellow"),
RGBColor("yellow"), RGBColor("yellow")],
SegmentDisplayText.get_colors(transition.get_transition_step(4, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("CDE--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("yellow"), RGBColor("yellow")],
SegmentDisplayText.get_colors(transition.get_transition_step(5, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("BCDE-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("yellow")],
SegmentDisplayText.get_colors(transition.get_transition_step(6, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(7, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
# push right (with text that has color = None and colors)
transition = PushTransition(5, False, False,
{'direction': 'right', 'text': '-->', 'text_color': None})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(">1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("red"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(0, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("->123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("red"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(1, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("-->12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("red"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(2, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("E-->1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("red")],
SegmentDisplayText.get_colors(transition.get_transition_step(3, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("DE-->",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(4, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("CDE--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(5, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("BCDE-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(6, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
self.assertEqual([RGBColor("green"), RGBColor("green"), RGBColor("green"),
RGBColor("green"), RGBColor("green")],
SegmentDisplayText.get_colors(transition.get_transition_step(7, "12345", "ABCDE",
[RGBColor("red")],
[RGBColor("green")])))
# push left (with text)
transition = PushTransition(5, False, False, {'direction': 'left', 'text': "<--"})
self.assertEqual(8, transition.get_step_count())
self.assertEqual("2345<",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("345<-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("45<--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("5<--A",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("<--AB",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("--ABC",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("-ABCD",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
def _test_cover_transition(self):
"""Test cover transition."""
# cover right
transition = CoverTransition(5, False, False, {'direction': 'right'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("E2345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("DE345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("CDE45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("BCDE5",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# cover right (with text)
transition = CoverTransition(5, False, False, {'direction': 'right', 'text': '-->'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(">2345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("->345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("-->45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("E-->5",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("DE-->",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("CDE--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("BCDE-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
# cover left
transition = CoverTransition(5, False, False, {'direction': 'left'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("1234A",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("123AB",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("12ABC",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("1ABCD",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# cover left (with text)
transition = CoverTransition(5, False, False, {'direction': 'left', 'text': '<--'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual("1234<",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("123<-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("12<--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("1<--A",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("<--AB",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("--ABC",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("-ABCD",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
def _test_uncover_transition(self):
"""Test uncover transition."""
# uncover right
transition = UncoverTransition(5, False, False, {'direction': 'right'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("A1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("AB123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABC12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("ABCD1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# uncover right (with text)
transition = UncoverTransition(5, False, False, {'direction': 'right', 'text': '-->'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(">1234",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("->123",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("-->12",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("A-->1",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("AB-->",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("ABC--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("ABCD-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
# uncover left
transition = UncoverTransition(5, False, False, {'direction': 'left'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("2345E",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("345DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("45CDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("5BCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# uncover left (with text)
transition = UncoverTransition(5, False, False, {'direction': 'left', 'text': '<--'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual("2345<",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("345<-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("45<--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("5<--E",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("<--DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("--CDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("-BCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
def _test_wipe_transition(self):
"""Test wipe transition."""
# wipe right
transition = WipeTransition(5, False, False, {'direction': 'right'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("A2345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("AB345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABC45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("ABCD5",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# wipe right (with text)
transition = WipeTransition(5, False, False, {'direction': 'right', 'text': '-->'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual(">2345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("->345",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("-->45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("A-->5",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("AB-->",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("ABC--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("ABCD-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
# wipe left
transition = WipeTransition(5, False, False, {'direction': 'left'})
self.assertEqual(5, transition.get_step_count())
self.assertEqual("1234E",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("123DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("12CDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("1BCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
# wipe left (with text)
transition = WipeTransition(5, False, False, {'direction': 'left', 'text': '<--'})
self.assertEqual(8, transition.get_step_count())
self.assertEqual("1234<",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("123<-",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("12<--",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
self.assertEqual("1<--E",
SegmentDisplayText.convert_to_str(transition.get_transition_step(3, "12345", "ABCDE")))
self.assertEqual("<--DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(4, "12345", "ABCDE")))
self.assertEqual("--CDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(5, "12345", "ABCDE")))
self.assertEqual("-BCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(6, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(7, "12345", "ABCDE")))
def _test_split_transition(self):
# split push out (odd display length)
transition = SplitTransition(5, False, False, {'direction': 'out', 'mode': 'push'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("23C45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("3BCD4",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
# split push out (even display length)
transition = SplitTransition(6, False, False, {'direction': 'out', 'mode': 'push'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("23CD45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "123456", "ABCDEF")))
self.assertEqual("3BCDE4",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "123456", "ABCDEF")))
self.assertEqual("ABCDEF",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "123456", "ABCDEF")))
# split push in (odd display length)
transition = SplitTransition(5, False, False, {'direction': 'in', 'mode': 'push'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("C234D",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("BC3DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
# split push in (even display length)
transition = SplitTransition(6, False, False, {'direction': 'in', 'mode': 'push'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("C2345D",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "123456", "ABCDEF")))
self.assertEqual("BC34DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "123456", "ABCDEF")))
self.assertEqual("ABCDEF",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "123456", "ABCDEF")))
# split wipe out (odd output length)
transition = SplitTransition(5, False, False, {'direction': 'out', 'mode': 'wipe'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("12C45",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("1BCD5",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
# split wipe out (even output length)
transition = SplitTransition(6, False, False, {'direction': 'out', 'mode': 'wipe'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("12CD56",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "123456", "ABCDEF")))
self.assertEqual("1BCDE6",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "123456", "ABCDEF")))
self.assertEqual("ABCDEF",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "123456", "ABCDEF")))
# split wipe in (odd output length)
transition = SplitTransition(5, False, False, {'direction': 'in', 'mode': 'wipe'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("A234E",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "12345", "ABCDE")))
self.assertEqual("AB3DE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "12345", "ABCDE")))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "12345", "ABCDE")))
# split wipe in (even output length)
transition = SplitTransition(6, False, False, {'direction': 'in', 'mode': 'wipe'})
self.assertEqual(3, transition.get_step_count())
self.assertEqual("A2345F",
SegmentDisplayText.convert_to_str(transition.get_transition_step(0, "123456", "ABCDEF")))
self.assertEqual("AB34EF",
SegmentDisplayText.convert_to_str(transition.get_transition_step(1, "123456", "ABCDEF")))
self.assertEqual("ABCDEF",
SegmentDisplayText.convert_to_str(transition.get_transition_step(2, "123456", "ABCDEF")))
def test_transition_runner(self):
"""Test the transition runner using an iterator."""
transition_iterator = iter(TransitionRunner(self.machine,
PushTransition(5, False, False, {'direction': 'right'}),
"12345", "ABCDE"))
self.assertEqual("E1234",
SegmentDisplayText.convert_to_str(next(transition_iterator)))
self.assertEqual("DE123",
SegmentDisplayText.convert_to_str(next(transition_iterator)))
self.assertEqual("CDE12",
SegmentDisplayText.convert_to_str(next(transition_iterator)))
self.assertEqual("BCDE1",
SegmentDisplayText.convert_to_str(next(transition_iterator)))
self.assertEqual("ABCDE",
SegmentDisplayText.convert_to_str(next(transition_iterator)))
with self.assertRaises(StopIteration):
next(transition_iterator)
@patch("mpf.platforms.virtual.VirtualSegmentDisplay.set_color")
@patch("mpf.platforms.virtual.VirtualSegmentDisplay.set_text")
def test_transitions_with_player(self, mock_set_text, mock_set_color):
self.post_event("test_set_color_to_white")
self.advance_time_and_run(1)
self.assertTrue(mock_set_color.called)
self.assertEqual(1, mock_set_color.call_count)
mock_set_color.assert_has_calls([call([(255, 255, 255)])])
mock_set_color.reset_mock()
self.post_event("test_transition")
self.advance_time_and_run(3)
self.assertTrue(mock_set_text.called)
self.assertEqual(21, mock_set_text.call_count)
red = RGBColor("red")
wht = RGBColor("white")
mock_set_text.assert_has_calls([call(' ', colors=[red, wht, wht, wht, wht, wht, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call(' ', colors=[red, red, wht, wht, wht, wht, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('L ', colors=[red, red, red, wht, wht, wht, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('LL ', colors=[red, red, red, red, wht, wht, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('OLL ', colors=[red, red, red, red, red, wht, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('ROLL ', colors=[red, red, red, red, red, red, wht, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('CROLL ', colors=[red, red, red, red, red, red, red, wht, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call('SCROLL ', colors=[red, red, red, red, red, red, red, red, wht, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call(' SCROLL ', colors=[red, red, red, red, red, red, red, red, red, wht], flash_mask='', flashing=FlashingType.NO_FLASH),
call(' SCROLL ', colors=[red, red, red, red, red, red, red, red, red, red], flash_mask='', flashing=FlashingType.NO_FLASH),
call(' SCROLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' SCROLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('SCROLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('CROLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ROLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('OLL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('LL ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('L ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH)])
mock_set_text.reset_mock()
self.post_event("test_transition_2")
self.advance_time_and_run(1)
self.assertTrue(mock_set_text.called)
self.assertEqual(6, mock_set_text.call_count)
mock_set_text.assert_has_calls([call(' 45 ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' 3456 ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' 234567 ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call(' 12345678 ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('0123456789', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('0123456789', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH)])
mock_set_text.reset_mock()
self.post_event("test_transition_3")
self.advance_time_and_run(1)
self.assertTrue(mock_set_text.called)
self.assertEqual(11, mock_set_text.call_count)
mock_set_text.assert_has_calls([call('A012345678', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('AB01234567', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABC0123456', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCD012345', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDE01234', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEF0123', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEFG012', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEFGH01', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEFGHI0', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEFGHIJ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH),
call('ABCDEFGHIJ', colors=None, flash_mask='', flashing=FlashingType.NO_FLASH)])
mock_set_text.reset_mock()
def test_text_stack(self):
"""Test the segment display text stack functionality."""
display1 = self.machine.segment_displays["display1"]
display1.add_text("FIRST")
self.assertEqual("FIRST", display1.text)
self.assertEqual([RGBColor("white")], display1.colors)
self.assertEqual(FlashingType.NO_FLASH, display1.flashing)
# higher priority and with colors, flashing
display1.add_text_entry(
TextStackEntry("SECOND", [RGBColor("red")], FlashingType.FLASH_ALL, "", None, None, 10, "2nd"))
self.assertEqual("SECOND", display1.text)
self.assertEqual([RGBColor("red")], display1.colors)
self.assertEqual(FlashingType.FLASH_ALL, display1.flashing)
# lower priority
display1.add_text_entry(
TextStackEntry("THIRD", [RGBColor("yellow")], FlashingType.FLASH_MASK, "F F F ", None, None, 5, "3rd"))
self.assertEqual("SECOND", display1.text)
self.assertEqual([RGBColor("red")], display1.colors)
self.assertEqual(FlashingType.FLASH_ALL, display1.flashing)
# remove highest priority item from stack
display1.remove_text_by_key("2nd")
self.assertEqual("THIRD", display1.text)
self.assertEqual([RGBColor("yellow")], display1.colors)
self.assertEqual(FlashingType.FLASH_MASK, display1.flashing)
self.assertEqual("F F F ", display1.flash_mask)
# replace current top text
display1.add_text("3rd", 5, "3rd")
self.assertEqual("3rd", display1.text)
self.assertEqual([RGBColor("yellow")], display1.colors)
self.assertEqual(FlashingType.FLASH_MASK, display1.flashing)
self.assertEqual("F F F ", display1.flash_mask)
# change text of lowest item
display1.add_text("1st")
self.assertEqual("3rd", display1.text)
self.assertEqual([RGBColor("yellow")], display1.colors)
self.assertEqual(FlashingType.FLASH_MASK, display1.flashing)
self.assertEqual("F F F ", display1.flash_mask)
# change text, color, and flashing of lowest item and raise its priority
display1.add_text_entry(
TextStackEntry("FIRST", [RGBColor("blue")], FlashingType.NO_FLASH, "", None, None, 20))
self.assertEqual("FIRST", display1.text)
self.assertEqual([RGBColor("blue")], display1.colors)
# remove "FIRST" entry
display1.remove_text_by_key()
self.assertEqual("3rd", display1.text)
self.assertEqual([RGBColor("blue")], display1.colors)
self.assertEqual(FlashingType.NO_FLASH, display1.flashing)
# set flashing
display1.set_flashing(FlashingType.FLASH_MASK, "FFF ")
self.assertEqual([RGBColor("blue")], display1.colors)
self.assertEqual(FlashingType.FLASH_MASK, display1.flashing)
self.assertEqual("FFF ", display1.flash_mask)
# set color
display1.set_color([RGBColor("cyan")])
self.assertEqual([RGBColor("cyan")], display1.colors)
self.assertEqual(FlashingType.FLASH_MASK, display1.flashing)
self.assertEqual("FFF ", display1.flash_mask)
# remove last remaining entry
display1.remove_text_by_key("3rd")
self.assertEqual("", display1.text)
self.assertEqual([RGBColor("cyan")], display1.colors)
self.assertEqual(FlashingType.NO_FLASH, display1.flashing)
self.assertEqual("", display1.flash_mask)
| 61.782301
| 165
| 0.59564
| 6,834
| 69,814
| 5.86494
| 0.046971
| 0.156059
| 0.106734
| 0.125296
| 0.918041
| 0.901225
| 0.890996
| 0.868167
| 0.844116
| 0.78763
| 0
| 0.042488
| 0.279557
| 69,814
| 1,129
| 166
| 61.837024
| 0.754399
| 0.026614
| 0
| 0.719243
| 0
| 0
| 0.086134
| 0.006235
| 0
| 0
| 0
| 0
| 0.480547
| 1
| 0.017876
| false
| 0
| 0.008412
| 0.002103
| 0.029443
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
| 0
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| 0
| 0
|
0
| 8
|
a1bbe36dee1e9dbf408fac6f1fe44b95ea795144
| 19,713
|
py
|
Python
|
sdk/python/pulumi_aiven/transit_gateway_vpc_attachment.py
|
pulumi/pulumi-aiven
|
0d330ef43c17ce2d2a77588c1d9754de6c8ca736
|
[
"ECL-2.0",
"Apache-2.0"
] | 7
|
2019-11-28T22:30:11.000Z
|
2021-12-27T16:40:54.000Z
|
sdk/python/pulumi_aiven/transit_gateway_vpc_attachment.py
|
pulumi/pulumi-aiven
|
0d330ef43c17ce2d2a77588c1d9754de6c8ca736
|
[
"ECL-2.0",
"Apache-2.0"
] | 97
|
2019-12-17T09:58:57.000Z
|
2022-03-31T15:19:02.000Z
|
sdk/python/pulumi_aiven/transit_gateway_vpc_attachment.py
|
pulumi/pulumi-aiven
|
0d330ef43c17ce2d2a77588c1d9754de6c8ca736
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2020-11-24T12:22:38.000Z
|
2020-11-24T12:22:38.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['TransitGatewayVpcAttachmentArgs', 'TransitGatewayVpcAttachment']
@pulumi.input_type
class TransitGatewayVpcAttachmentArgs:
def __init__(__self__, *,
peer_cloud_account: pulumi.Input[str],
peer_region: pulumi.Input[str],
peer_vpc: pulumi.Input[str],
user_peer_network_cidrs: pulumi.Input[Sequence[pulumi.Input[str]]],
vpc_id: pulumi.Input[str]):
"""
The set of arguments for constructing a TransitGatewayVpcAttachment resource.
:param pulumi.Input[str] peer_cloud_account: AWS account ID of the peered VPC.
:param pulumi.Input[str] peer_region: AWS region of the peered VPC (if not in the same region as Aiven VPC).
:param pulumi.Input[str] peer_vpc: Transit gateway ID
:param pulumi.Input[Sequence[pulumi.Input[str]]] user_peer_network_cidrs: List of private IPv4 ranges to route through the peering connection.
:param pulumi.Input[str] vpc_id: is the Aiven VPC the peering connection is associated with.
"""
pulumi.set(__self__, "peer_cloud_account", peer_cloud_account)
pulumi.set(__self__, "peer_region", peer_region)
pulumi.set(__self__, "peer_vpc", peer_vpc)
pulumi.set(__self__, "user_peer_network_cidrs", user_peer_network_cidrs)
pulumi.set(__self__, "vpc_id", vpc_id)
@property
@pulumi.getter(name="peerCloudAccount")
def peer_cloud_account(self) -> pulumi.Input[str]:
"""
AWS account ID of the peered VPC.
"""
return pulumi.get(self, "peer_cloud_account")
@peer_cloud_account.setter
def peer_cloud_account(self, value: pulumi.Input[str]):
pulumi.set(self, "peer_cloud_account", value)
@property
@pulumi.getter(name="peerRegion")
def peer_region(self) -> pulumi.Input[str]:
"""
AWS region of the peered VPC (if not in the same region as Aiven VPC).
"""
return pulumi.get(self, "peer_region")
@peer_region.setter
def peer_region(self, value: pulumi.Input[str]):
pulumi.set(self, "peer_region", value)
@property
@pulumi.getter(name="peerVpc")
def peer_vpc(self) -> pulumi.Input[str]:
"""
Transit gateway ID
"""
return pulumi.get(self, "peer_vpc")
@peer_vpc.setter
def peer_vpc(self, value: pulumi.Input[str]):
pulumi.set(self, "peer_vpc", value)
@property
@pulumi.getter(name="userPeerNetworkCidrs")
def user_peer_network_cidrs(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
List of private IPv4 ranges to route through the peering connection.
"""
return pulumi.get(self, "user_peer_network_cidrs")
@user_peer_network_cidrs.setter
def user_peer_network_cidrs(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "user_peer_network_cidrs", value)
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> pulumi.Input[str]:
"""
is the Aiven VPC the peering connection is associated with.
"""
return pulumi.get(self, "vpc_id")
@vpc_id.setter
def vpc_id(self, value: pulumi.Input[str]):
pulumi.set(self, "vpc_id", value)
@pulumi.input_type
class _TransitGatewayVpcAttachmentState:
def __init__(__self__, *,
peer_cloud_account: Optional[pulumi.Input[str]] = None,
peer_region: Optional[pulumi.Input[str]] = None,
peer_vpc: Optional[pulumi.Input[str]] = None,
peering_connection_id: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None,
state_info: Optional[pulumi.Input[Mapping[str, Any]]] = None,
user_peer_network_cidrs: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vpc_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering TransitGatewayVpcAttachment resources.
:param pulumi.Input[str] peer_cloud_account: AWS account ID of the peered VPC.
:param pulumi.Input[str] peer_region: AWS region of the peered VPC (if not in the same region as Aiven VPC).
:param pulumi.Input[str] peer_vpc: Transit gateway ID
:param pulumi.Input[str] peering_connection_id: Cloud provider identifier for the peering connection if available
:param pulumi.Input[str] state: State of the peering connection
:param pulumi.Input[Mapping[str, Any]] state_info: State-specific help or error information
:param pulumi.Input[Sequence[pulumi.Input[str]]] user_peer_network_cidrs: List of private IPv4 ranges to route through the peering connection.
:param pulumi.Input[str] vpc_id: is the Aiven VPC the peering connection is associated with.
"""
if peer_cloud_account is not None:
pulumi.set(__self__, "peer_cloud_account", peer_cloud_account)
if peer_region is not None:
pulumi.set(__self__, "peer_region", peer_region)
if peer_vpc is not None:
pulumi.set(__self__, "peer_vpc", peer_vpc)
if peering_connection_id is not None:
pulumi.set(__self__, "peering_connection_id", peering_connection_id)
if state is not None:
pulumi.set(__self__, "state", state)
if state_info is not None:
pulumi.set(__self__, "state_info", state_info)
if user_peer_network_cidrs is not None:
pulumi.set(__self__, "user_peer_network_cidrs", user_peer_network_cidrs)
if vpc_id is not None:
pulumi.set(__self__, "vpc_id", vpc_id)
@property
@pulumi.getter(name="peerCloudAccount")
def peer_cloud_account(self) -> Optional[pulumi.Input[str]]:
"""
AWS account ID of the peered VPC.
"""
return pulumi.get(self, "peer_cloud_account")
@peer_cloud_account.setter
def peer_cloud_account(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "peer_cloud_account", value)
@property
@pulumi.getter(name="peerRegion")
def peer_region(self) -> Optional[pulumi.Input[str]]:
"""
AWS region of the peered VPC (if not in the same region as Aiven VPC).
"""
return pulumi.get(self, "peer_region")
@peer_region.setter
def peer_region(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "peer_region", value)
@property
@pulumi.getter(name="peerVpc")
def peer_vpc(self) -> Optional[pulumi.Input[str]]:
"""
Transit gateway ID
"""
return pulumi.get(self, "peer_vpc")
@peer_vpc.setter
def peer_vpc(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "peer_vpc", value)
@property
@pulumi.getter(name="peeringConnectionId")
def peering_connection_id(self) -> Optional[pulumi.Input[str]]:
"""
Cloud provider identifier for the peering connection if available
"""
return pulumi.get(self, "peering_connection_id")
@peering_connection_id.setter
def peering_connection_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "peering_connection_id", value)
@property
@pulumi.getter
def state(self) -> Optional[pulumi.Input[str]]:
"""
State of the peering connection
"""
return pulumi.get(self, "state")
@state.setter
def state(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "state", value)
@property
@pulumi.getter(name="stateInfo")
def state_info(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
State-specific help or error information
"""
return pulumi.get(self, "state_info")
@state_info.setter
def state_info(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "state_info", value)
@property
@pulumi.getter(name="userPeerNetworkCidrs")
def user_peer_network_cidrs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of private IPv4 ranges to route through the peering connection.
"""
return pulumi.get(self, "user_peer_network_cidrs")
@user_peer_network_cidrs.setter
def user_peer_network_cidrs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "user_peer_network_cidrs", value)
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> Optional[pulumi.Input[str]]:
"""
is the Aiven VPC the peering connection is associated with.
"""
return pulumi.get(self, "vpc_id")
@vpc_id.setter
def vpc_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "vpc_id", value)
class TransitGatewayVpcAttachment(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
peer_cloud_account: Optional[pulumi.Input[str]] = None,
peer_region: Optional[pulumi.Input[str]] = None,
peer_vpc: Optional[pulumi.Input[str]] = None,
user_peer_network_cidrs: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vpc_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
## # Transit Gateway VPC Attachment Resource
The Transit Gateway VPC Attachment resource allows the creation and management Transit
Gateway VPC Attachment VPC peering connection between Aiven and AWS.
## Example Usage
```python
import pulumi
import pulumi_aiven as aiven
attachment = aiven.TransitGatewayVpcAttachment("attachment",
vpc_id=aiven_project_vpc["bar"]["id"],
peer_cloud_account="<PEER_ACCOUNT_ID>",
peer_vpc="google-project1",
peer_region="aws-eu-west-1",
user_peer_network_cidrs=["10.0.0.0/24"])
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] peer_cloud_account: AWS account ID of the peered VPC.
:param pulumi.Input[str] peer_region: AWS region of the peered VPC (if not in the same region as Aiven VPC).
:param pulumi.Input[str] peer_vpc: Transit gateway ID
:param pulumi.Input[Sequence[pulumi.Input[str]]] user_peer_network_cidrs: List of private IPv4 ranges to route through the peering connection.
:param pulumi.Input[str] vpc_id: is the Aiven VPC the peering connection is associated with.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: TransitGatewayVpcAttachmentArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## # Transit Gateway VPC Attachment Resource
The Transit Gateway VPC Attachment resource allows the creation and management Transit
Gateway VPC Attachment VPC peering connection between Aiven and AWS.
## Example Usage
```python
import pulumi
import pulumi_aiven as aiven
attachment = aiven.TransitGatewayVpcAttachment("attachment",
vpc_id=aiven_project_vpc["bar"]["id"],
peer_cloud_account="<PEER_ACCOUNT_ID>",
peer_vpc="google-project1",
peer_region="aws-eu-west-1",
user_peer_network_cidrs=["10.0.0.0/24"])
```
:param str resource_name: The name of the resource.
:param TransitGatewayVpcAttachmentArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(TransitGatewayVpcAttachmentArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
peer_cloud_account: Optional[pulumi.Input[str]] = None,
peer_region: Optional[pulumi.Input[str]] = None,
peer_vpc: Optional[pulumi.Input[str]] = None,
user_peer_network_cidrs: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vpc_id: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = TransitGatewayVpcAttachmentArgs.__new__(TransitGatewayVpcAttachmentArgs)
if peer_cloud_account is None and not opts.urn:
raise TypeError("Missing required property 'peer_cloud_account'")
__props__.__dict__["peer_cloud_account"] = peer_cloud_account
if peer_region is None and not opts.urn:
raise TypeError("Missing required property 'peer_region'")
__props__.__dict__["peer_region"] = peer_region
if peer_vpc is None and not opts.urn:
raise TypeError("Missing required property 'peer_vpc'")
__props__.__dict__["peer_vpc"] = peer_vpc
if user_peer_network_cidrs is None and not opts.urn:
raise TypeError("Missing required property 'user_peer_network_cidrs'")
__props__.__dict__["user_peer_network_cidrs"] = user_peer_network_cidrs
if vpc_id is None and not opts.urn:
raise TypeError("Missing required property 'vpc_id'")
__props__.__dict__["vpc_id"] = vpc_id
__props__.__dict__["peering_connection_id"] = None
__props__.__dict__["state"] = None
__props__.__dict__["state_info"] = None
super(TransitGatewayVpcAttachment, __self__).__init__(
'aiven:index/transitGatewayVpcAttachment:TransitGatewayVpcAttachment',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
peer_cloud_account: Optional[pulumi.Input[str]] = None,
peer_region: Optional[pulumi.Input[str]] = None,
peer_vpc: Optional[pulumi.Input[str]] = None,
peering_connection_id: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None,
state_info: Optional[pulumi.Input[Mapping[str, Any]]] = None,
user_peer_network_cidrs: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
vpc_id: Optional[pulumi.Input[str]] = None) -> 'TransitGatewayVpcAttachment':
"""
Get an existing TransitGatewayVpcAttachment resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] peer_cloud_account: AWS account ID of the peered VPC.
:param pulumi.Input[str] peer_region: AWS region of the peered VPC (if not in the same region as Aiven VPC).
:param pulumi.Input[str] peer_vpc: Transit gateway ID
:param pulumi.Input[str] peering_connection_id: Cloud provider identifier for the peering connection if available
:param pulumi.Input[str] state: State of the peering connection
:param pulumi.Input[Mapping[str, Any]] state_info: State-specific help or error information
:param pulumi.Input[Sequence[pulumi.Input[str]]] user_peer_network_cidrs: List of private IPv4 ranges to route through the peering connection.
:param pulumi.Input[str] vpc_id: is the Aiven VPC the peering connection is associated with.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _TransitGatewayVpcAttachmentState.__new__(_TransitGatewayVpcAttachmentState)
__props__.__dict__["peer_cloud_account"] = peer_cloud_account
__props__.__dict__["peer_region"] = peer_region
__props__.__dict__["peer_vpc"] = peer_vpc
__props__.__dict__["peering_connection_id"] = peering_connection_id
__props__.__dict__["state"] = state
__props__.__dict__["state_info"] = state_info
__props__.__dict__["user_peer_network_cidrs"] = user_peer_network_cidrs
__props__.__dict__["vpc_id"] = vpc_id
return TransitGatewayVpcAttachment(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="peerCloudAccount")
def peer_cloud_account(self) -> pulumi.Output[str]:
"""
AWS account ID of the peered VPC.
"""
return pulumi.get(self, "peer_cloud_account")
@property
@pulumi.getter(name="peerRegion")
def peer_region(self) -> pulumi.Output[str]:
"""
AWS region of the peered VPC (if not in the same region as Aiven VPC).
"""
return pulumi.get(self, "peer_region")
@property
@pulumi.getter(name="peerVpc")
def peer_vpc(self) -> pulumi.Output[str]:
"""
Transit gateway ID
"""
return pulumi.get(self, "peer_vpc")
@property
@pulumi.getter(name="peeringConnectionId")
def peering_connection_id(self) -> pulumi.Output[str]:
"""
Cloud provider identifier for the peering connection if available
"""
return pulumi.get(self, "peering_connection_id")
@property
@pulumi.getter
def state(self) -> pulumi.Output[str]:
"""
State of the peering connection
"""
return pulumi.get(self, "state")
@property
@pulumi.getter(name="stateInfo")
def state_info(self) -> pulumi.Output[Mapping[str, Any]]:
"""
State-specific help or error information
"""
return pulumi.get(self, "state_info")
@property
@pulumi.getter(name="userPeerNetworkCidrs")
def user_peer_network_cidrs(self) -> pulumi.Output[Sequence[str]]:
"""
List of private IPv4 ranges to route through the peering connection.
"""
return pulumi.get(self, "user_peer_network_cidrs")
@property
@pulumi.getter(name="vpcId")
def vpc_id(self) -> pulumi.Output[str]:
"""
is the Aiven VPC the peering connection is associated with.
"""
return pulumi.get(self, "vpc_id")
| 42.947712
| 150
| 0.654188
| 2,378
| 19,713
| 5.146341
| 0.075694
| 0.089884
| 0.090374
| 0.055565
| 0.827831
| 0.794738
| 0.754453
| 0.722259
| 0.709103
| 0.68892
| 0
| 0.001748
| 0.245675
| 19,713
| 458
| 151
| 43.041485
| 0.821251
| 0.284077
| 0
| 0.562016
| 1
| 0
| 0.119404
| 0.039161
| 0
| 0
| 0
| 0
| 0
| 1
| 0.158915
| false
| 0.003876
| 0.01938
| 0
| 0.275194
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a1bfaa193bc912545c0fd5e55019b9a6827a9f1d
| 148
|
py
|
Python
|
myvenv/lib/python3.5/site-packages/IPython/utils/daemonize.py
|
tuvapp/tuvappcom
|
5ca2be19f4b0c86a1d4a9553711a4da9d3f32841
|
[
"MIT"
] | 6,989
|
2017-07-18T06:23:18.000Z
|
2022-03-31T15:58:36.000Z
|
myvenv/lib/python3.5/site-packages/IPython/utils/daemonize.py
|
tuvapp/tuvappcom
|
5ca2be19f4b0c86a1d4a9553711a4da9d3f32841
|
[
"MIT"
] | 1,978
|
2017-07-18T09:17:58.000Z
|
2022-03-31T14:28:43.000Z
|
myvenv/lib/python3.5/site-packages/IPython/utils/daemonize.py
|
tuvapp/tuvappcom
|
5ca2be19f4b0c86a1d4a9553711a4da9d3f32841
|
[
"MIT"
] | 1,228
|
2017-07-18T09:03:13.000Z
|
2022-03-29T05:57:40.000Z
|
from warnings import warn
warn("IPython.utils.daemonize has moved to ipyparallel.apps.daemonize")
from ipyparallel.apps.daemonize import daemonize
| 29.6
| 71
| 0.837838
| 20
| 148
| 6.2
| 0.6
| 0.241935
| 0.387097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094595
| 148
| 4
| 72
| 37
| 0.925373
| 0
| 0
| 0
| 0
| 0
| 0.425676
| 0.331081
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
c5620bfb270c629adfc67c3da28697ba55ddd514
| 160
|
py
|
Python
|
glue/io/formats/fits/__init__.py
|
HPLegion/glue
|
1843787ccb4de852dfe103ff58473da13faccf5f
|
[
"BSD-3-Clause"
] | 550
|
2015-01-08T13:51:06.000Z
|
2022-03-31T11:54:47.000Z
|
glue/io/formats/fits/__init__.py
|
HPLegion/glue
|
1843787ccb4de852dfe103ff58473da13faccf5f
|
[
"BSD-3-Clause"
] | 1,362
|
2015-01-03T19:15:52.000Z
|
2022-03-30T13:23:11.000Z
|
glue/io/formats/fits/__init__.py
|
HPLegion/glue
|
1843787ccb4de852dfe103ff58473da13faccf5f
|
[
"BSD-3-Clause"
] | 142
|
2015-01-08T13:08:00.000Z
|
2022-03-18T13:25:57.000Z
|
# Data factories are already defined in glue.core.data_factories, but they will
# be moved here in future.
def setup():
from . import subset_mask # noqa
| 22.857143
| 79
| 0.73125
| 25
| 160
| 4.6
| 0.88
| 0.226087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 160
| 6
| 80
| 26.666667
| 0.898438
| 0.66875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0.5
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| 1
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| 0
| null | 1
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| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3dc5004097993c64894de3c2383b631b06724217
| 2,965
|
py
|
Python
|
test/test_cli.py
|
maxdymond/confuse
|
0b076bf4fb67e1064f128a3f01bb356b7a6909b1
|
[
"MIT"
] | null | null | null |
test/test_cli.py
|
maxdymond/confuse
|
0b076bf4fb67e1064f128a3f01bb356b7a6909b1
|
[
"MIT"
] | null | null | null |
test/test_cli.py
|
maxdymond/confuse
|
0b076bf4fb67e1064f128a3f01bb356b7a6909b1
|
[
"MIT"
] | 1
|
2019-05-26T13:34:27.000Z
|
2019-05-26T13:34:27.000Z
|
from __future__ import division, absolute_import, print_function
import confuse
import argparse
import optparse
import unittest
class ArgparseTest(unittest.TestCase):
def setUp(self):
self.config = confuse.Configuration('test', read=False)
self.parser = argparse.ArgumentParser()
def _parse(self, args):
args = self.parser.parse_args(args.split())
self.config.set_args(args)
def test_text_argument_parsed(self):
self.parser.add_argument('--foo', metavar='BAR')
self._parse('--foo bar')
self.assertEqual(self.config['foo'].get(), 'bar')
def test_boolean_argument_parsed(self):
self.parser.add_argument('--foo', action='store_true')
self._parse('--foo')
self.assertEqual(self.config['foo'].get(), True)
def test_missing_optional_argument_not_included(self):
self.parser.add_argument('--foo', metavar='BAR')
self._parse('')
with self.assertRaises(confuse.NotFoundError):
self.config['foo'].get()
def test_argument_overrides_default(self):
self.config.add({'foo': 'baz'})
self.parser.add_argument('--foo', metavar='BAR')
self._parse('--foo bar')
self.assertEqual(self.config['foo'].get(), 'bar')
class OptparseTest(unittest.TestCase):
def setUp(self):
self.config = confuse.Configuration('test', read=False)
self.parser = optparse.OptionParser()
def _parse(self, args):
options, _ = self.parser.parse_args(args.split())
self.config.set_args(options)
def test_text_argument_parsed(self):
self.parser.add_option('--foo', metavar='BAR')
self._parse('--foo bar')
self.assertEqual(self.config['foo'].get(), 'bar')
def test_boolean_argument_parsed(self):
self.parser.add_option('--foo', action='store_true')
self._parse('--foo')
self.assertEqual(self.config['foo'].get(), True)
def test_missing_optional_argument_not_included(self):
self.parser.add_option('--foo', metavar='BAR')
self._parse('')
with self.assertRaises(confuse.NotFoundError):
self.config['foo'].get()
def test_argument_overrides_default(self):
self.config.add({'foo': 'baz'})
self.parser.add_option('--foo', metavar='BAR')
self._parse('--foo bar')
self.assertEqual(self.config['foo'].get(), 'bar')
class Namespace(object):
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
class GenericNamespaceTest(unittest.TestCase):
def setUp(self):
self.config = confuse.Configuration('test', read=False)
def test_value_added_to_root(self):
self.config.set_args(Namespace(foo='bar'))
self.assertEqual(self.config['foo'].get(), 'bar')
def test_value_added_to_subview(self):
self.config['baz'].set_args(Namespace(foo='bar'))
self.assertEqual(self.config['baz']['foo'].get(), 'bar')
| 32.582418
| 64
| 0.649916
| 359
| 2,965
| 5.153203
| 0.18663
| 0.102703
| 0.063243
| 0.077838
| 0.804324
| 0.787568
| 0.787568
| 0.787568
| 0.78
| 0.718919
| 0
| 0
| 0.192917
| 2,965
| 90
| 65
| 32.944444
| 0.773088
| 0
| 0
| 0.641791
| 0
| 0
| 0.070152
| 0
| 0
| 0
| 0
| 0
| 0.149254
| 1
| 0.238806
| false
| 0
| 0.074627
| 0
| 0.373134
| 0.014925
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3dee292e92658e796e5d703789d6faf28885aa40
| 7,716
|
py
|
Python
|
self_supervised_3d_tasks/data/segmentation_task_loader.py
|
HyeokjuJang/self-supervised-3d-tasks
|
83009a8a12074620a1723afb768bba8212e0e744
|
[
"Apache-2.0"
] | null | null | null |
self_supervised_3d_tasks/data/segmentation_task_loader.py
|
HyeokjuJang/self-supervised-3d-tasks
|
83009a8a12074620a1723afb768bba8212e0e744
|
[
"Apache-2.0"
] | null | null | null |
self_supervised_3d_tasks/data/segmentation_task_loader.py
|
HyeokjuJang/self-supervised-3d-tasks
|
83009a8a12074620a1723afb768bba8212e0e744
|
[
"Apache-2.0"
] | null | null | null |
from pathlib import Path
import numpy as np
from scipy import ndimage
from self_supervised_3d_tasks.data.generator_base import DataGeneratorBase
import os
class SegmentationGenerator3D(DataGeneratorBase):
def __init__(
self,
data_path,
file_list,
batch_size=8,
pre_proc_func=None,
shuffle=False,
augment=False,
label_stem="_label"
):
self.augment_scans_train = augment
self.label_stem = label_stem
self.label_dir = data_path + "_labels"
self.data_dir = data_path
super(SegmentationGenerator3D, self).__init__(file_list, batch_size, shuffle, pre_proc_func)
def load_image(self, index):
file_name = self.input_images[index]
path = "{}/{}".format(self.data_dir, file_name)
path_label = "{}/{}".format(self.label_dir, file_name)
return np.load(path), np.load(path_label)
def augment_3d(self, x, y):
def _distort_color(scan):
# adjust brightness
max_delta = 0.125
delta = np.random.uniform(-max_delta, max_delta)
scan += delta
# adjust contrast
lower = 0.5
upper = 1.5
contrast_factor = np.random.uniform(lower, upper)
scan_mean = np.mean(scan)
scan = (contrast_factor * (scan - scan_mean)) + scan_mean
return scan
processed_image, processed_mask = x.copy(), y.copy()
for i in range(3):
if np.random.rand() < 0.5:
processed_image = np.flip(processed_image, i)
processed_mask = np.flip(processed_mask, i)
# make rotation arbitrary instead of multiples of 90deg
if np.random.rand() < 0.5:
axis_choice = np.random.randint(0, 3)
if axis_choice == 0:
xy_angle = np.random.uniform(0, 360)
processed_image = ndimage.rotate(processed_image, xy_angle, axes=(0, 1), reshape=False, order=1)
processed_mask = ndimage.rotate(processed_mask, xy_angle, axes=(0, 1), reshape=False, order=0)
elif axis_choice == 1:
yz_angle = np.random.uniform(0, 360)
processed_image = ndimage.rotate(processed_image, yz_angle, axes=(1, 2), reshape=False, order=1)
processed_mask = ndimage.rotate(processed_mask, yz_angle, axes=(1, 2), reshape=False, order=0)
else:
xz_angle = np.random.uniform(0, 360)
processed_image = ndimage.rotate(processed_image, xz_angle, axes=(0, 2), reshape=False, order=1)
processed_mask = ndimage.rotate(processed_mask, xz_angle, axes=(0, 2), reshape=False, order=0)
if np.random.rand() < 0.7:
# color distortion (THIS DOESN'T CHANGE IN THE MASK)
processed_image = _distort_color(processed_image)
return processed_image, processed_mask
def data_generation(self, list_files_temp):
data_x = []
data_y = []
for file_name in list_files_temp:
path = "{}/{}".format(self.data_dir, file_name)
path_label = Path("{}/{}".format(self.label_dir, file_name))
path_label = path_label.with_name(path_label.stem + self.label_stem).with_suffix(path_label.suffix)
mask = np.load(path_label)
img = np.load(path)
img = (img - img.min()) / (img.max() - img.min())
if self.augment_scans_train:
img, mask = self.augment_3d(img, mask)
data_x.append(img)
data_y.append(mask)
data_x = np.stack(data_x)
data_y = np.stack(data_y)
data_y = np.rint(data_y).astype(np.int)
n_classes = np.max(data_y) + 1
data_y = np.eye(n_classes)[data_y]
if data_y.shape[-2] == 1:
data_y = np.squeeze(data_y, axis=-2) # remove second last axis, which is still 1
return data_x, data_y
class PatchSegmentationGenerator3D(DataGeneratorBase):
def __init__(
self,
data_path,
file_list,
batch_size=8,
patch_size=(128, 128, 128),
patches_per_scan=3,
pre_proc_func=None,
shuffle=False,
augment=False,
label_stem="_label"
):
self.augment_scans_train = augment
self.label_stem = label_stem
self.label_dir = data_path + "_labels"
self.data_dir = data_path
self.patch_size = patch_size
self.patches_per_scan = patches_per_scan
super(PatchSegmentationGenerator3D, self).__init__(file_list, batch_size, shuffle, pre_proc_func)
def load_image(self, index):
file_name = self.input_images[index]
path = "{}/{}".format(self.data_dir, file_name)
path_label = "{}/{}".format(self.label_dir, file_name)
return np.load(path), np.load(path_label)
def augment_3d(self, x, y):
def _distort_color(scan):
# adjust brightness
max_delta = 0.125
delta = np.random.uniform(-max_delta, max_delta)
scan += delta
# adjust contrast
lower = 0.5
upper = 1.5
contrast_factor = np.random.uniform(lower, upper)
scan_mean = np.mean(scan)
scan = (contrast_factor * (scan - scan_mean)) + scan_mean
return scan
processed_image, processed_mask = x.copy(), y.copy()
for i in range(3): # arbitrary flipping along each axis
if np.random.rand() < 0.5:
processed_image = np.flip(processed_image, axis=i)
processed_mask = np.flip(processed_mask, axis=i)
if np.random.rand() < 0.7:
# color distortion (THIS DOESN'T CHANGE IN THE MASK)
processed_image = _distort_color(processed_image)
return processed_image, processed_mask
def data_generation(self, list_files_temp):
data_x = []
data_y = []
for file_name in list_files_temp:
path = "{}/{}".format(self.data_dir, file_name)
path_label = Path("{}/{}".format(self.label_dir, file_name))
path_label = path_label.with_name(path_label.stem + self.label_stem).with_suffix(path_label.suffix)
mask = np.load(path_label)
img = np.load(path)
img = (img - img.min()) / (img.max() - img.min())
origin_row = np.random.randint(0, img.shape[0] - self.patch_size[0], self.patches_per_scan)
origin_col = np.random.randint(0, img.shape[1] - self.patch_size[1], self.patches_per_scan)
origin_dep = np.random.randint(0, img.shape[2] - self.patch_size[2], self.patches_per_scan)
for o_r, o_c, o_d in zip(origin_row, origin_col, origin_dep):
patch = img[o_r:o_r + self.patch_size[0], o_c:o_c + self.patch_size[1], o_d:o_d + self.patch_size[2]]
patch_mask = mask[o_r:o_r + self.patch_size[0], o_c:o_c + self.patch_size[1],
o_d:o_d + self.patch_size[2]]
if self.augment_scans_train:
patch, patch_mask = self.augment_3d(patch, patch_mask)
data_x.append(patch)
data_y.append(patch_mask) # just to keep the dims right
data_x = np.stack(data_x)
data_y = np.stack(data_y)
data_y = np.rint(data_y).astype(np.int)
n_classes = np.max(data_y) + 1
data_y = np.eye(n_classes)[data_y]
if data_y.shape[-2] == 1:
data_y = np.squeeze(data_y, axis=-2) # remove second last axis, which is still 1
return data_x, data_y
| 39.979275
| 117
| 0.591369
| 1,035
| 7,716
| 4.137198
| 0.148792
| 0.03036
| 0.03036
| 0.021018
| 0.816207
| 0.793788
| 0.773237
| 0.757823
| 0.728164
| 0.728164
| 0
| 0.020378
| 0.300415
| 7,716
| 192
| 118
| 40.1875
| 0.772879
| 0.047952
| 0
| 0.720779
| 0
| 0
| 0.008999
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064935
| false
| 0
| 0.032468
| 0
| 0.162338
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9a847debe87c7b060fcafb2f453246990a45002d
| 147
|
py
|
Python
|
pyautofinance/common/observers/__init__.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | null | null | null |
pyautofinance/common/observers/__init__.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | null | null | null |
pyautofinance/common/observers/__init__.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | 1
|
2022-02-24T09:18:13.000Z
|
2022-02-24T09:18:13.000Z
|
from pyautofinance.common.observers.observer import Observer
from pyautofinance.common.observers.average_gain_per_trade import AverageGainPerTrade
| 49
| 85
| 0.904762
| 17
| 147
| 7.647059
| 0.647059
| 0.261538
| 0.353846
| 0.492308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054422
| 147
| 2
| 86
| 73.5
| 0.935252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
9aacbe236220433ef04da59ac69ace125482e5db
| 6,521
|
py
|
Python
|
bpe.py
|
bugii/atmt
|
f99ccc7a8dcd081ef6ed36313185cd6b785e9a32
|
[
"MIT"
] | null | null | null |
bpe.py
|
bugii/atmt
|
f99ccc7a8dcd081ef6ed36313185cd6b785e9a32
|
[
"MIT"
] | null | null | null |
bpe.py
|
bugii/atmt
|
f99ccc7a8dcd081ef6ed36313185cd6b785e9a32
|
[
"MIT"
] | null | null | null |
import sentencepiece as spm
import os
def train_bpe():
spm.SentencePieceTrainer.Train(
input='baseline/preprocessed_data/train.de', model_prefix='bpe_de', vocab_size=4000)
spm.SentencePieceTrainer.Train(
input='baseline/preprocessed_data/train.en', model_prefix='bpe_en', vocab_size=4000)
def bpe():
os.makedirs("bpe/preprocessed_data", exist_ok=True)
sp = spm.SentencePieceProcessor(model_file="bpe_de.model")
with open('baseline/preprocessed_data/train.de', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/train.de', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_en.model")
with open('baseline/preprocessed_data/train.en', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/train.en', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_de.model")
with open('baseline/preprocessed_data/test.de', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/test.de', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_en.model")
with open('baseline/preprocessed_data/test.en', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/test.en', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_de.model")
with open('baseline/preprocessed_data/valid.de', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/valid.de', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_en.model")
with open('baseline/preprocessed_data/valid.en', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/valid.en', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_de.model")
with open('baseline/preprocessed_data/tiny_train.de', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/tiny_train.de', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_en.model")
with open('baseline/preprocessed_data/tiny_train.en', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str)
with open('bpe/preprocessed_data/tiny_train.en', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
def bpe_dropout(p):
# don't apply bpe to test sets, but both sides for training set (en and de, better results according to paper in case of small datasets)
sp = spm.SentencePieceProcessor(model_file="bpe_de.model")
with open('baseline/preprocessed_data/train.de', 'r') as f:
data = f.read().split("\n")
train_de = sp.Encode(
input=data, out_type=str, enable_sampling=True, alpha=p)
with open('bpe_dropout/preprocessed_data/train.de', 'w') as f2:
for sentence in train_de:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
# with open('baseline/preprocessed_data/valid.de', 'r') as f:
# data = f.read().split("\n")
# valid_de = sp.Encode(
# input=data, out_type=str, enable_sampling=True, alpha=p)
# with open('bpe_dropout/preprocessed_data/valid.de', 'w') as f2:
# for sentence in valid_de:
# f2.write(" ".join(sentence) + "\n")
# with open('baseline/preprocessed_data/tiny_train.de', 'r') as f:
# data = f.read().split("\n")
# tiny_train_de = sp.Encode(
# input=data, out_type=str, enable_sampling=True, alpha=p)
# with open('bpe_dropout/preprocessed_data/tiny_train.de', 'w') as f2:
# for sentence in tiny_train_de:
# f2.write(" ".join(sentence) + "\n")
sp = spm.SentencePieceProcessor(model_file="bpe_en.model")
with open('baseline/preprocessed_data/train.en', 'r') as f:
data = f.read().split("\n")
train_en = sp.Encode(
input=data, out_type=str, enable_sampling=True, alpha=p)
with open('bpe_dropout/preprocessed_data/train.en', 'w') as f2:
for sentence in train_en:
if sentence != []:
f2.write(" ".join(sentence) + "\n")
# with open('baseline/preprocessed_data/valid.en', 'r') as f:
# data = f.read().split("\n")
# valid_en = sp.Encode(
# input=data, out_type=str, enable_sampling=True, alpha=p)
# with open('bpe_dropout/preprocessed_data/valid.en', 'w') as f2:
# for sentence in valid_en:
# f2.write(" ".join(sentence) + "\n")
# with open('baseline/preprocessed_data/tiny_train.en', 'r') as f:
# data = f.read().split("\n")
# tiny_train_en = sp.Encode(
# input=data, out_type=str, enable_sampling=True, alpha=p)
# with open('bpe_dropout/preprocessed_data/tiny_train.en', 'w') as f2:
# for sentence in tiny_train_en:
# f2.write(" ".join(sentence) + "\n")
if __name__ == "__main__":
train_bpe()
bpe()
| 35.440217
| 140
| 0.572612
| 851
| 6,521
| 4.229142
| 0.088132
| 0.137816
| 0.106696
| 0.108919
| 0.9197
| 0.918589
| 0.910809
| 0.905807
| 0.866352
| 0.863573
| 0
| 0.007647
| 0.278025
| 6,521
| 183
| 141
| 35.63388
| 0.756797
| 0.230946
| 0
| 0.718447
| 0
| 0
| 0.197192
| 0.155065
| 0
| 0
| 0
| 0
| 0
| 1
| 0.029126
| false
| 0
| 0.019417
| 0
| 0.048544
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9ab438a07ea64f68f37101a0ab18af688a4f582e
| 3,945
|
py
|
Python
|
tests/test_data.py
|
fontaine618/MTSGL
|
19dd7e540baf6519c7dd21cdfe5222339b851a06
|
[
"MIT"
] | 1
|
2021-07-11T01:27:41.000Z
|
2021-07-11T01:27:41.000Z
|
tests/test_data.py
|
fontaine618/MTSGL
|
19dd7e540baf6519c7dd21cdfe5222339b851a06
|
[
"MIT"
] | null | null | null |
tests/test_data.py
|
fontaine618/MTSGL
|
19dd7e540baf6519c7dd21cdfe5222339b851a06
|
[
"MIT"
] | 1
|
2021-07-11T01:27:50.000Z
|
2021-07-11T01:27:50.000Z
|
import unittest
import numpy as np
import pandas as pd
import MTSGL.data
class TestDfToData(unittest.TestCase):
def test_bad_y(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
self.assertRaises(
TypeError,
MTSGL.data.utils.df_to_data,
df=df,
y_cols=2,
task_col="task",
w_cols="w",
x_cols=["var1", "var2", "var3"]
)
def test_bad_col_name(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
self.assertRaises(
TypeError,
MTSGL.data.utils.df_to_data,
df=df,
y_cols=2,
task_col="task",
w_cols="w2",
x_cols=["var1", "var2", "var3"]
)
def test_one_y_no_task(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols=["y"],
w_cols="w",
x_cols=["var1", "var2", "var3"]
)
self.assertEqual(data.y("0").shape, (10, ))
def test_Multivariate_single_w(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y1": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"y2": np.random.choice([0, 1, 2], n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols=["y1", "y2"],
task_col="task",
x_cols=["var1", "var2", "var3"]
)
data.x("y")
self.assertEqual(data._w.shape, (10, 1))
def test_Multivariate_multi_w(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y1": np.random.normal(0, 1, n),
"w1": np.random.uniform(0, 1, n),
"w2": np.random.uniform(0, 1, n),
"y2": np.random.choice([0, 1, 2], n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(i, i, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols=["y1", "y2"],
w_cols=["w1", "w2"],
x_cols=["var1", "var2", "var3"]
)
self.assertEqual(data._w.shape, (10, 2))
def test_Multivariate_no_x(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y1": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"y2": np.random.choice([0, 1, 2], n),
"task": np.random.choice([0, 1, 2], n)
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols=["y1", "y2"],
task_col="task",
w_cols="w",
intercept=False
)
self.assertEqual(data._x.shape, (10, 6))
def test_MultiTask(self):
n = 10
p = 30
df = pd.DataFrame(data={
"y": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"task": [0, 1, 2, 0, 1, 2, 0, 1, 2, 0]
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(i, i+1, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols="y",
task_col="task",
w_cols="w",
x_cols=["var"+str(i+1) for i in range(p)]
)
self.assertEqual(data.n_obs, {"0": 4, "1": 3, "2": 3})
def test_MultiTask_no_x(self):
n = 10
p = 5
df = pd.DataFrame(data={
"y": np.random.normal(0, 1, n),
"w": np.random.uniform(0, 1, n),
"task": [0, 1, 2, 0, 1, 2, 0, 1, 2, 0]
})
for i in range(p):
df["var" + str(i + 1)] = np.random.normal(0, 1, n)
data = MTSGL.data.utils.df_to_data(
df=df,
y_cols="y",
task_col="task",
w_cols="w",
intercept=False
)
self.assertEqual(
[data._x[task].shape for task in data.tasks],
[(4, 5), (3, 5), (3, 5)]
)
if __name__ == '__main__':
unittest.main()
| 23.070175
| 56
| 0.556907
| 716
| 3,945
| 2.959497
| 0.099162
| 0.035866
| 0.032563
| 0.099103
| 0.829165
| 0.815479
| 0.78858
| 0.77395
| 0.726286
| 0.726286
| 0
| 0.060292
| 0.217997
| 3,945
| 170
| 57
| 23.205882
| 0.62658
| 0
| 0
| 0.734177
| 0
| 0
| 0.053232
| 0
| 0
| 0
| 0
| 0
| 0.050633
| 1
| 0.050633
| false
| 0
| 0.025316
| 0
| 0.082278
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9abea79ec6db101fe8b82b730eb7cc750a7ea38c
| 8,510
|
py
|
Python
|
tests/test_core/test_drawable_shapes/test_ellipse_drawable_shape.py
|
glipR/pygame_gui
|
0cbf7056518377b455d51a8d20167f4029756ad9
|
[
"MIT"
] | 339
|
2019-10-30T01:42:23.000Z
|
2022-03-31T06:11:18.000Z
|
tests/test_core/test_drawable_shapes/test_ellipse_drawable_shape.py
|
glipR/pygame_gui
|
0cbf7056518377b455d51a8d20167f4029756ad9
|
[
"MIT"
] | 236
|
2019-10-15T18:33:06.000Z
|
2022-03-03T19:18:09.000Z
|
tests/test_core/test_drawable_shapes/test_ellipse_drawable_shape.py
|
glipR/pygame_gui
|
0cbf7056518377b455d51a8d20167f4029756ad9
|
[
"MIT"
] | 55
|
2019-11-02T09:19:56.000Z
|
2022-01-21T18:48:24.000Z
|
import pygame
from tests.shared_fixtures import _init_pygame, default_ui_manager, default_display_surface, \
_display_surface_return_none
from pygame_gui.core.drawable_shapes.ellipse_drawable_shape import EllipseDrawableShape
from pygame_gui.ui_manager import UIManager
from pygame_gui.core.colour_gradient import ColourGradient
class TestEllipseDrawableShape:
def test_creation(self, _init_pygame, default_ui_manager: UIManager):
EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.get_theme().get_font([]),
'shadow_width': 0,
'border_width': 0,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
def test_full_rebuild_on_size_change_negative_values(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': -10,
'border_width': -10,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
shape.full_rebuild_on_size_change()
def test_full_rebuild_on_size_change_large(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 25, 25),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': 20,
'border_width': 20,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
shape.full_rebuild_on_size_change()
def test_full_rebuild_on_size_change_large_shadow(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 2, 2),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': 1,
'border_width': 0,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
shape.full_rebuild_on_size_change()
def test_collide_point(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': 0,
'border_width': 0,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
assert shape.collide_point((50, 50)) is True
def test_set_position(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': 0,
'border_width': 0,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
shape.set_position((50, 50))
def test_set_dimensions(self, _init_pygame, default_ui_manager: UIManager):
shape = EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.ui_theme.get_font([]),
'shadow_width': 0,
'border_width': 0,
'normal_border': pygame.Color('#FFFFFF'),
'normal_bg': pygame.Color('#000000'),
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
shape.set_dimensions((50, 50))
def test_creation_with_gradients(self, _init_pygame, default_ui_manager: UIManager):
EllipseDrawableShape(containing_rect=pygame.Rect(0, 0, 100, 100),
theming_parameters={'text': 'test',
'font': default_ui_manager.get_theme().get_font([]),
'shadow_width': 2,
'border_width': 2,
'normal_border': ColourGradient(0, pygame.Color('#000000'),
pygame.Color('#FFFFFF')),
'normal_bg': ColourGradient(0, pygame.Color('#000000'),
pygame.Color('#FFFFFF')),
'shape_corner_radius': 2,
'text_horiz_alignment': 'center',
'text_vert_alignment': 'center'},
states=['normal'], manager=default_ui_manager)
| 73.362069
| 108
| 0.411633
| 613
| 8,510
| 5.34584
| 0.130506
| 0.071407
| 0.122063
| 0.052182
| 0.837656
| 0.827281
| 0.827281
| 0.818126
| 0.788221
| 0.788221
| 0
| 0.034719
| 0.502468
| 8,510
| 115
| 109
| 74
| 0.739254
| 0
| 0
| 0.711538
| 0
| 0
| 0.125147
| 0
| 0
| 0
| 0
| 0
| 0.009615
| 1
| 0.076923
| false
| 0
| 0.048077
| 0
| 0.134615
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9ac56f080b3b9ef41ef3b9486124e9d878a12bff
| 204
|
py
|
Python
|
nodenet/python/nodenet/layers/__init__.py
|
NOOXY-research/NodeNet
|
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
|
[
"Apache-2.0"
] | 2
|
2018-01-31T05:52:23.000Z
|
2020-08-07T19:14:18.000Z
|
nodenet/python/nodenet/layers/__init__.py
|
NOOXY-research/NodeNet
|
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
|
[
"Apache-2.0"
] | 1
|
2017-11-22T09:39:50.000Z
|
2017-11-22T09:39:50.000Z
|
nodenet/python/nodenet/layers/__init__.py
|
magneticchen/NodeNet
|
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
|
[
"Apache-2.0"
] | null | null | null |
# Create alias
from nodenet.layers.nodes import *
from nodenet.layers.nets import *
from nodenet.layers.convolutional import *
from nodenet.layers.pooling import *
from nodenet.layers.convertor import *
| 25.5
| 42
| 0.803922
| 27
| 204
| 6.074074
| 0.407407
| 0.335366
| 0.518293
| 0.560976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 204
| 7
| 43
| 29.142857
| 0.911111
| 0.058824
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
492b3cf477ea1d2e0e594989b096dd7dcd1bb9ec
| 357
|
py
|
Python
|
python/testData/inspections/PyTypeCheckerInspection/StringStartsWith.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/inspections/PyTypeCheckerInspection/StringStartsWith.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/inspections/PyTypeCheckerInspection/StringStartsWith.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
'foo'.startswith('bar')
'foo'.startswith(('bar', 'baz'))
'foo'.startswith(<warning descr="Expected type 'Union[unicode, Tuple[unicode, ...]]', got 'int' instead">2</warning>)
u'foo'.startswith(u'bar')
u'foo'.startswith((u'bar', u'baz'))
u'foo'.startswith(<warning descr="Expected type 'Union[unicode, Tuple[unicode, ...]]', got 'int' instead">2</warning>)
| 44.625
| 118
| 0.672269
| 50
| 357
| 4.8
| 0.32
| 0.325
| 0.175
| 0.208333
| 0.8375
| 0.8375
| 0.683333
| 0.683333
| 0.683333
| 0.683333
| 0
| 0.006024
| 0.070028
| 357
| 7
| 119
| 51
| 0.716867
| 0
| 0
| 0
| 0
| 0
| 0.492997
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 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
| 7
|
495b4b7842190dcf406b113a9f2a2362e077637b
| 132
|
py
|
Python
|
dfs/datasheets/parsers/__init__.py
|
shoeberto/dfs-data-tooling
|
fe1be744b343f18d845ddc20f2303d1dbf0d90c5
|
[
"MIT"
] | null | null | null |
dfs/datasheets/parsers/__init__.py
|
shoeberto/dfs-data-tooling
|
fe1be744b343f18d845ddc20f2303d1dbf0d90c5
|
[
"MIT"
] | null | null | null |
dfs/datasheets/parsers/__init__.py
|
shoeberto/dfs-data-tooling
|
fe1be744b343f18d845ddc20f2303d1dbf0d90c5
|
[
"MIT"
] | null | null | null |
from dfs.datasheets.parsers import plots
from dfs.datasheets.parsers import treatments
from dfs.datasheets.parsers import superplots
| 44
| 45
| 0.871212
| 18
| 132
| 6.388889
| 0.444444
| 0.182609
| 0.443478
| 0.626087
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 132
| 3
| 46
| 44
| 0.950413
| 0
| 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
| 1
| 0
|
0
| 7
|
b8cec39ee2f8f1d9dd50440299cb2bd66d300d13
| 2,149
|
py
|
Python
|
coreapp/migrations/0047_auto_20200329_1922.py
|
Quanscendence/braynai
|
ab828ca95571c6dffef2b2392522e6a4160a2304
|
[
"MIT"
] | null | null | null |
coreapp/migrations/0047_auto_20200329_1922.py
|
Quanscendence/braynai
|
ab828ca95571c6dffef2b2392522e6a4160a2304
|
[
"MIT"
] | null | null | null |
coreapp/migrations/0047_auto_20200329_1922.py
|
Quanscendence/braynai
|
ab828ca95571c6dffef2b2392522e6a4160a2304
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2 on 2020-03-29 13:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coreapp', '0046_auto_20200327_2140'),
]
operations = [
migrations.AlterField(
model_name='projectbillingdaycost',
name='disk_space_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingdaycost',
name='end_point_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingdaycost',
name='iqs_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingdaycost',
name='user_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillinghourlycost',
name='disk_space_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillinghourlycost',
name='end_point_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillinghourlycost',
name='user_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingmonthcost',
name='disk_space_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingmonthcost',
name='end_point_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingmonthcost',
name='iqs_cost',
field=models.FloatField(default=0.0),
),
migrations.AlterField(
model_name='projectbillingmonthcost',
name='user_cost',
field=models.FloatField(default=0.0),
),
]
| 31.144928
| 50
| 0.574221
| 188
| 2,149
| 6.398936
| 0.218085
| 0.182876
| 0.228595
| 0.26517
| 0.876143
| 0.876143
| 0.83458
| 0.83458
| 0.83458
| 0.802993
| 0
| 0.035422
| 0.316892
| 2,149
| 68
| 51
| 31.602941
| 0.78406
| 0.020009
| 0
| 0.887097
| 1
| 0
| 0.193916
| 0.128802
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.016129
| 0
| 0.064516
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
b8f101527b1dd3224c18cde6e9a5aa4c17e6f161
| 13,381
|
py
|
Python
|
tests/test_backoff.py
|
zexxonn/pynsq
|
c2b03879a0e088a5a93e5993cee835a9e36cdc13
|
[
"MIT"
] | null | null | null |
tests/test_backoff.py
|
zexxonn/pynsq
|
c2b03879a0e088a5a93e5993cee835a9e36cdc13
|
[
"MIT"
] | null | null | null |
tests/test_backoff.py
|
zexxonn/pynsq
|
c2b03879a0e088a5a93e5993cee835a9e36cdc13
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import os
import sys
import random
import time
from mock import call
from .reader_unit_test_helpers import (
get_reader,
get_ioloop,
get_conn,
send_message
)
# shunt '..' into sys.path since we are in a 'tests' subdirectory
base_dir = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))
if base_dir not in sys.path:
sys.path.insert(0, base_dir)
from nsq import event
def test_backoff_easy():
mock_ioloop = get_ioloop()
r = get_reader(mock_ioloop)
conn = get_conn(r)
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
msg = send_message(conn)
msg.trigger(event.REQUEUE, message=msg)
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.called
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
timeout_args[1]()
assert r.backoff_block is False
send_args, send_kwargs = conn.stream.write.call_args
assert send_args[0] == b'RDY 1\n'
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
expected_args = [
b'SUB test test\n',
b'RDY 1\n',
b'RDY 5\n',
b'FIN 1234\n',
b'RDY 0\n',
b'REQ 1234 0\n',
b'RDY 1\n',
b'RDY 5\n',
b'FIN 1234\n'
]
assert conn.stream.write.call_args_list == [call(arg) for arg in expected_args]
def test_backoff_out_of_order():
mock_ioloop = get_ioloop()
r = get_reader(mock_ioloop, max_in_flight=4)
conn1 = get_conn(r)
conn2 = get_conn(r)
msg = send_message(conn1)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
msg = send_message(conn1)
msg.trigger(event.REQUEUE, message=msg)
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.called
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
msg = send_message(conn1)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is True
assert r.backoff_timer.get_interval() == 0
timeout_args[1]()
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
expected_args = [
b'SUB test test\n',
b'RDY 1\n',
b'RDY 2\n',
b'FIN 1234\n',
b'RDY 0\n',
b'REQ 1234 0\n',
b'FIN 1234\n',
b'RDY 2\n',
]
assert conn1.stream.write.call_args_list == [call(arg) for arg in expected_args]
expected_args = [
b'SUB test test\n',
b'RDY 1\n',
b'RDY 0\n',
b'RDY 2\n'
]
assert conn2.stream.write.call_args_list == [call(arg) for arg in expected_args]
def test_backoff_requeue_recovery():
mock_ioloop = get_ioloop()
r = get_reader(mock_ioloop, max_in_flight=2)
conn = get_conn(r)
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
assert mock_ioloop.add_timeout.call_count == 1
msg = send_message(conn)
# go into backoff
msg.trigger(event.REQUEUE, message=msg)
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.call_count == 2
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
# elapse time
timeout_args[1]()
assert r.backoff_block is False
assert r.backoff_timer.get_interval() != 0
msg = send_message(conn)
# This should not move out of backoff (since backoff=False)
msg.trigger(event.REQUEUE, message=msg, backoff=False)
assert r.backoff_block is True
assert r.backoff_timer.get_interval() != 0
assert mock_ioloop.add_timeout.call_count == 3
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
# elapse time
timeout_args[1]()
assert r.backoff_block is False
assert r.backoff_timer.get_interval() != 0
# this should move out of backoff state
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
print(conn.stream.write.call_args_list)
expected_args = [
b'SUB test test\n',
b'RDY 1\n',
b'RDY 2\n',
b'FIN 1234\n',
b'RDY 0\n',
b'REQ 1234 0\n',
b'RDY 1\n',
b'RDY 0\n',
b'REQ 1234 0\n',
b'RDY 1\n',
b'RDY 2\n',
b'FIN 1234\n'
]
assert conn.stream.write.call_args_list == [call(arg) for arg in expected_args]
def test_backoff_hard():
mock_ioloop = get_ioloop()
r = get_reader(io_loop=mock_ioloop)
conn = get_conn(r)
expected_args = [b'SUB test test\n', b'RDY 1\n', b'RDY 5\n']
num_fails = 0
fail = True
last_timeout_time = 0
for i in range(50):
msg = send_message(conn)
if fail:
msg.trigger(event.REQUEUE, message=msg)
num_fails += 1
expected_args.append(b'RDY 0\n')
expected_args.append(b'REQ 1234 0\n')
else:
msg.trigger(event.FINISH, message=msg)
num_fails -= 1
expected_args.append(b'RDY 0\n')
expected_args.append(b'FIN 1234\n')
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.called
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
timeout_args[1]()
last_timeout_time = timeout_args[0]
assert r.backoff_block is False
expected_args.append(b'RDY 1\n')
fail = True
if random.random() < 0.3 and num_fails > 1:
fail = False
for i in range(num_fails - 1):
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
expected_args.append(b'RDY 0\n')
expected_args.append(b'FIN 1234\n')
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
timeout_args[1]()
last_timeout_time = timeout_args[0]
expected_args.append(b'RDY 1\n')
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
expected_args.append(b'RDY 5\n')
expected_args.append(b'FIN 1234\n')
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
for i, f in enumerate(conn.stream.write.call_args_list):
print("%d: %s" % (i, f))
assert conn.stream.write.call_args_list == [call(arg) for arg in expected_args]
def test_backoff_many_conns():
mock_ioloop = get_ioloop()
r = get_reader(io_loop=mock_ioloop)
num_conns = 5
conns = []
for i in range(num_conns):
conn = get_conn(r)
conn.expected_args = [b'SUB test test\n', b'RDY 1\n']
conn.fails = 0
conns.append(conn)
fail = True
total_fails = 0
last_timeout_time = 0
conn = random.choice(conns)
for i in range(50):
msg = send_message(conn)
if r.backoff_timer.get_interval() == 0:
conn.expected_args.append(b'RDY 1\n')
if fail or not conn.fails:
msg.trigger(event.REQUEUE, message=msg)
total_fails += 1
conn.fails += 1
for c in conns:
c.expected_args.append(b'RDY 0\n')
conn.expected_args.append(b'REQ 1234 0\n')
else:
msg.trigger(event.FINISH, message=msg)
total_fails -= 1
conn.fails -= 1
for c in conns:
c.expected_args.append(b'RDY 0\n')
conn.expected_args.append(b'FIN 1234\n')
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.called
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
conn = timeout_args[1]()
last_timeout_time = timeout_args[0]
assert r.backoff_block is False
conn.expected_args.append(b'RDY 1\n')
fail = True
if random.random() < 0.3 and total_fails > 1:
fail = False
while total_fails:
print("%r: %d fails (%d total_fails)" % (conn, conn.fails, total_fails))
if not conn.fails:
# force an idle connection
for c in conns:
if c.rdy > 0:
c.last_msg_timestamp = time.time() - 60
c.expected_args.append(b'RDY 0\n')
conn = r._redistribute_rdy_state()
conn.expected_args.append(b'RDY 1\n')
continue
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
total_fails -= 1
conn.fails -= 1
if total_fails > 0:
for c in conns:
c.expected_args.append(b'RDY 0\n')
else:
for c in conns:
c.expected_args.append(b'RDY 1\n')
conn.expected_args.append(b'FIN 1234\n')
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
conn = timeout_args[1]()
last_timeout_time = timeout_args[0]
if total_fails > 0:
conn.expected_args.append(b'RDY 1\n')
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
for c in conns:
for i, f in enumerate(c.stream.write.call_args_list):
print("%d: %s" % (i, f))
assert c.stream.write.call_args_list == [call(arg) for arg in c.expected_args]
def test_backoff_conns_disconnect():
mock_ioloop = get_ioloop()
r = get_reader(io_loop=mock_ioloop)
num_conns = 5
conns = []
for i in range(num_conns):
conn = get_conn(r)
conn.expected_args = [b'SUB test test\n', b'RDY 1\n']
conn.fails = 0
conns.append(conn)
fail = True
total_fails = 0
last_timeout_time = 0
conn = random.choice(conns)
for i in range(50):
if i % 5 == 0:
if len(r.conns) == num_conns:
conn.trigger(event.CLOSE, conn=conn)
conns.remove(conn)
if conn.rdy and r.backoff_timer.get_interval():
assert r.need_rdy_redistributed
conn = r._redistribute_rdy_state()
if not conn:
conn = random.choice(conns)
else:
conn.expected_args.append(b'RDY 1\n')
continue
else:
c = get_conn(r)
c.expected_args = [b'SUB test test\n']
c.fails = 0
conns.append(c)
msg = send_message(conn)
if r.backoff_timer.get_interval() == 0:
conn.expected_args.append(b'RDY 1\n')
if fail or not conn.fails:
msg.trigger(event.REQUEUE, message=msg)
total_fails += 1
conn.fails += 1
for c in conns:
c.expected_args.append(b'RDY 0\n')
conn.expected_args.append(b'REQ 1234 0\n')
else:
msg.trigger(event.FINISH, message=msg)
total_fails -= 1
conn.fails -= 1
for c in conns:
c.expected_args.append(b'RDY 0\n')
conn.expected_args.append(b'FIN 1234\n')
assert r.backoff_block is True
assert r.backoff_timer.get_interval() > 0
assert mock_ioloop.add_timeout.called
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
conn = timeout_args[1]()
last_timeout_time = timeout_args[0]
assert r.backoff_block is False
conn.expected_args.append(b'RDY 1\n')
fail = True
if random.random() < 0.3 and total_fails > 1:
fail = False
while total_fails:
print("%r: %d fails (%d total_fails)" % (conn, conn.fails, total_fails))
msg = send_message(conn)
msg.trigger(event.FINISH, message=msg)
total_fails -= 1
conn.fails -= 1
if total_fails > 0:
for c in conns:
c.expected_args.append(b'RDY 0\n')
else:
for c in conns:
c.expected_args.append(b'RDY 1\n')
conn.expected_args.append(b'FIN 1234\n')
timeout_args, timeout_kwargs = mock_ioloop.add_timeout.call_args
if timeout_args[0] != last_timeout_time:
conn = timeout_args[1]()
last_timeout_time = timeout_args[0]
if total_fails > 0:
conn.expected_args.append(b'RDY 1\n')
assert r.backoff_block is False
assert r.backoff_timer.get_interval() == 0
for c in conns:
for i, f in enumerate(c.stream.write.call_args_list):
print("%d: %s" % (i, f))
assert c.stream.write.call_args_list == [call(arg) for arg in c.expected_args]
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0
| 7
|
771c28b8d8940a0b49ff2bf79d70431322892135
| 19,466
|
py
|
Python
|
tests/app/main/views/test_user.py
|
alphagov/notify-api
|
16dbafbad69e5bb179ba4b2202a7afa299c88d61
|
[
"MIT"
] | 12
|
2015-10-06T08:58:28.000Z
|
2016-08-08T17:51:29.000Z
|
tests/app/main/views/test_user.py
|
gds-attic/notify-api
|
16dbafbad69e5bb179ba4b2202a7afa299c88d61
|
[
"MIT"
] | 1
|
2015-10-27T12:01:26.000Z
|
2015-10-27T12:01:26.000Z
|
tests/app/main/views/test_user.py
|
gds-attic/notify-api
|
16dbafbad69e5bb179ba4b2202a7afa299c88d61
|
[
"MIT"
] | 3
|
2016-05-31T17:40:15.000Z
|
2021-04-10T20:03:33.000Z
|
from flask import json
from app import db
from app.models import User, Service
from datetime import datetime
def test_should_fetch_users_for_a_service(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(response.get_data())
assert response.status_code == 200
assert 'users' in data
assert len(data['users']) == 1
assert data['users'][0]['role'] == 'admin'
assert data['users'][0]['emailAddress'] == 'test-user@example.org'
assert not data['users'][0]['locked']
assert data['users'][0]['active']
assert data['users'][0]['failedLoginCount'] == 0
def test_should_fetch_all_users_for_a_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="test@test.com",
mobile_number="+441234123412",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
service = Service.query.get(1234)
service.users.append(user)
db.session.add(service)
db.session.commit()
response = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(response.get_data())
assert response.status_code == 200
assert 'users' in data
assert len(data['users']) == 2
assert data['users'][0]['emailAddress'] == 'test-user@example.org'
assert data['users'][1]['emailAddress'] == 'test@test.com'
def test_should_add_user_to_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="add-me@test.gov.uk",
mobile_number="+441234999999",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
db.session.add(user)
db.session.commit()
response = notify_api.test_client().post(
'/service/1234/add-user',
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
headers={
'Authorization': 'Bearer 1234'
},
content_type='application/json')
assert response.status_code == 200
fetch_response = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response.get_data())
assert fetch_response.status_code == 200
assert 'users' in data
assert len(data['users']) == 2
assert data['users'][0]['emailAddress'] == 'test-user@example.org'
assert data['users'][1]['emailAddress'] == 'add-me@test.gov.uk'
def test_cannot_add_user_twice_to_a_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="add-me@test.gov.uk",
mobile_number="+441234999999",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
db.session.add(user)
db.session.commit()
response_1 = notify_api.test_client().post(
'/service/1234/add-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert response_1.status_code == 200
response_2 = notify_api.test_client().post(
'/service/1234/add-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert response_2.status_code == 200
fetch_response = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response.get_data())
assert fetch_response.status_code == 200
assert 'users' in data
assert len(data['users']) == 2
assert data['users'][0]['emailAddress'] == 'test-user@example.org'
assert data['users'][1]['emailAddress'] == 'add-me@test.gov.uk'
def test_user_cannot_be_added_to_non_existant_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="add-me@test.gov.uk",
mobile_number="+441234999999",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
db.session.add(user)
db.session.commit()
response = notify_api.test_client().post(
'/service/5656/add-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert response.status_code == 404
def test_user_cannot_be_add_non_existant_user_to_service(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/service/1234/add-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'missing@test.gov.uk'
}
}
),
content_type='application/json')
assert response.status_code == 404
def test_should_remove_user_from_a_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="add-me@test.gov.uk",
mobile_number="+441234999999",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
db.session.add(user)
db.session.commit()
post_1 = notify_api.test_client().post(
'/service/1234/add-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert post_1.status_code == 200
fetch_1 = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data_1 = json.loads(fetch_1.get_data())
assert fetch_1.status_code == 200
assert len(data_1['users']) == 2
post_2 = notify_api.test_client().post(
'/service/1234/remove-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert post_2.status_code == 200
fetch_2 = notify_api.test_client().get(
'/service/1234/users',
headers={
'Authorization': 'Bearer 1234'
})
data_2 = json.loads(fetch_2.get_data())
assert fetch_2.status_code == 200
assert 'users' in data_2
assert len(data_2['users']) == 1
assert data_2['users'][0]['emailAddress'] == 'test-user@example.org'
def test_user_cannot_be_removed_from_a_non_existent_service(notify_api, notify_db, notify_db_session):
user = User(
email_address="add-me@test.gov.uk",
mobile_number="+441234999999",
password="password",
active=True,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
password_changed_at=datetime.utcnow(),
failed_login_count=0,
role='admin'
)
db.session.add(user)
db.session.commit()
response = notify_api.test_client().post(
'/service/5656/remove-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'add-me@test.gov.uk'
}
}
),
content_type='application/json')
assert response.status_code == 404
def test_user_cannot_be_remove_non_existent_user_from_a_service(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/service/1234/remove-user',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'missing@test.gov.uk'
}
}
),
content_type='application/json')
assert response.status_code == 404
def test_should_by_404_for_non_numeric_user_id(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().get(
'/users/invalid',
headers={
'Authorization': 'Bearer 1234'
})
assert response.status_code == 404
def test_should_fetch_user_if_can_find_by_id(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().get(
'/users/1234',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(response.get_data())
assert response.status_code == 200
assert 'users' in data
assert data['users']['role'] == 'admin'
assert data['users']['emailAddress'] == 'test-user@example.org'
assert not data['users']['locked']
assert data['users']['active']
def test_should_reject_fetch_user_request_with_no_email(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().get(
'/users',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(response.get_data())
assert response.status_code == 400
assert data['error'] == 'No email address provided'
def test_should_fetch_user_if_can_find_by_email(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().get(
'/users?email_address=test-user@example.org',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(response.get_data())
assert response.status_code == 200
assert 'users' in data
assert data['users']['role'] == 'admin'
assert data['users']['emailAddress'] == 'test-user@example.org'
assert not data['users']['locked']
assert data['users']['active']
assert data['users']['failedLoginCount'] == 0
def test_should_only_allow_valid_auth_requests(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'password': 'valid-password'
}
}
),
content_type='application/json')
data = json.loads(response.get_data())
assert response.status_code == 400
assert 'error_details' in data
assert {'required': ["'emailAddress' is a required property"]} in data['error_details']
def test_should_be_able_to_auth_user(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'TEST-user@example.org',
'password': 'valid-password'
}
}
),
content_type='application/json')
data = json.loads(response.get_data())
assert response.status_code == 200
assert 'users' in data
assert data['users']['role'] == 'admin'
assert data['users']['emailAddress'] == 'test-user@example.org'
assert not data['users']['locked']
assert data['users']['active']
def test_should_404_if_user_not_found_on_auth(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user123@example.org',
'password': 'valid-password'
}
}
),
content_type='application/json')
assert response.status_code == 404
def test_should_increment_failed_login_count(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user@example.org',
'password': 'invalid-password'
}
}
),
content_type='application/json')
assert response.status_code == 403
fetch_response = notify_api.test_client().get(
'/users?email_address=test-user@example.org',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response.get_data())
assert fetch_response.status_code == 200
assert data['users']['failedLoginCount'] == 1
def test_should_reset_failed_login_count_on_success(notify_api, notify_db, notify_db_session):
response_1 = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user@example.org',
'password': 'invalid-password'
}
}
),
content_type='application/json')
assert response_1.status_code == 403
fetch_response_1 = notify_api.test_client().get(
'/users?email_address=test-user@example.org',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response_1.get_data())
assert fetch_response_1.status_code == 200
assert data['users']['failedLoginCount'] == 1
response_2 = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user@example.org',
'password': 'valid-password'
}
}
),
content_type='application/json')
assert response_2.status_code == 200
fetch_response_2 = notify_api.test_client().get(
'/users?email_address=test-user@example.org',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response_2.get_data())
assert fetch_response_2.status_code == 200
assert data['users']['failedLoginCount'] == 0
def test_should_prevent_login_when_too_many_failed_attempts(notify_api, notify_db, notify_db_session):
for i in range(0, notify_api.config['MAX_FAILED_LOGIN_COUNT'] + 1):
response = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user@example.org',
'password': 'invalid-password'
}
}
),
content_type='application/json')
assert response.status_code == 403
fetch_response = notify_api.test_client().get(
'/users?email_address=test-user@example.org',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response.get_data())
assert fetch_response.status_code == 200
assert data['users']['failedLoginCount'] == 6
assert data['users']['locked']
response_2 = notify_api.test_client().post(
'/users/auth',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'userAuthentication': {
'emailAddress': 'test-user@example.org',
'password': 'valid-password'
}
}
),
content_type='application/json')
assert response_2.status_code == 403
def test_should_be_able_to_create_users(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'TEST-user@example.gov.uk',
'mobileNumber': '+449999999999',
'password': 'validpassword'
}
}
),
content_type='application/json')
assert response.status_code == 201
fetch_response = notify_api.test_client().get(
'/users?email_address=test-user@example.gov.uk',
headers={
'Authorization': 'Bearer 1234'
})
data = json.loads(fetch_response.get_data())
assert fetch_response.status_code == 200
assert not data['users']['active']
def test_should_reject_invalid_user_request(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'test-user@example.gov.uk',
'password': 'validpassword'
}
}
),
content_type='application/json')
data = json.loads(response.get_data())
assert response.status_code == 400
assert data['error'] == 'Invalid JSON'
assert data['error_details'][0]['required'][0] == "'mobileNumber' is a required property"
def test_should_reject_non_gov_emailst(notify_api, notify_db, notify_db_session):
response = notify_api.test_client().post(
'/users',
headers={
'Authorization': 'Bearer 1234'
},
data=json.dumps(
{
'user': {
'emailAddress': 'test-user@example.com',
'mobileNumber': '+449999999999',
'password': 'validpassword'
}
}
),
content_type='application/json')
data = json.loads(response.get_data())
assert response.status_code == 400
assert data['error'] == 'Invalid JSON'
| 31.245586
| 106
| 0.570739
| 2,051
| 19,466
| 5.173086
| 0.067284
| 0.049199
| 0.042884
| 0.062677
| 0.899152
| 0.878888
| 0.8705
| 0.855419
| 0.819698
| 0.810273
| 0
| 0.035578
| 0.30114
| 19,466
| 622
| 107
| 31.29582
| 0.74434
| 0
| 0
| 0.704301
| 0
| 0
| 0.216326
| 0.044745
| 0
| 0
| 0
| 0
| 0.154122
| 1
| 0.039427
| false
| 0.041219
| 0.007168
| 0
| 0.046595
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 0
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| 0
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| 0
| 0
|
0
| 7
|
622cfad17f6fe7c30cbbb16d776ca989279cfc37
| 70,493
|
py
|
Python
|
View/gui_module.py
|
wilcer1/STMP
|
71cd1c5ec33017db32abbd4482ea524f9d3988d4
|
[
"MIT"
] | null | null | null |
View/gui_module.py
|
wilcer1/STMP
|
71cd1c5ec33017db32abbd4482ea524f9d3988d4
|
[
"MIT"
] | null | null | null |
View/gui_module.py
|
wilcer1/STMP
|
71cd1c5ec33017db32abbd4482ea524f9d3988d4
|
[
"MIT"
] | null | null | null |
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import *
from account import Account
class Ui_LoginScreen(object):
"""Main Login Window."""
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(1917, 1010)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(850, 360, 111, 31))
self.label.setMinimumSize(QtCore.QSize(71, 0))
self.label.setObjectName("label")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(850, 490, 111, 31))
self.label_2.setObjectName("label_2")
self.lineEdit = QtWidgets.QLineEdit(self.centralwidget)
self.lineEdit.setGeometry(QtCore.QRect(850, 400, 171, 31))
self.lineEdit.setStyleSheet("background-color: rgb(255, 255, 255);")
self.lineEdit.setObjectName("lineEdit")
self.lineEdit_2 = QtWidgets.QLineEdit(self.centralwidget)
self.lineEdit_2.setGeometry(QtCore.QRect(850, 530, 171, 31))
self.lineEdit_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.lineEdit_2.setEchoMode(QtWidgets.QLineEdit.Password)
self.lineEdit_2.setObjectName("lineEdit_2")
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(860, 690, 151, 41))
self.pushButton.setStyleSheet("font: 75 14pt \"MS Shell Dlg 2\";\n"
"background-color: rgb(255, 255, 255);")
self.pushButton.setObjectName("pushButton")
self.pushButton_2 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_2.setGeometry(QtCore.QRect(40, 880, 291, 91))
font = QtGui.QFont()
font.setPointSize(16)
self.pushButton_2.setFont(font)
self.pushButton_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.pushButton_2.setObjectName("pushButton_2")
self.STMPlogo = QtWidgets.QLabel(self.centralwidget)
self.STMPlogo.setGeometry(QtCore.QRect(0, 0, 450, 200))
self.STMPlogo.setText("")
self.STMPlogo.setPixmap(QtGui.QPixmap("STMP-Logo.png"))
self.STMPlogo.setScaledContents(True)
self.STMPlogo.setObjectName("STMPlogo")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 1917, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.popUp = QMessageBox()
self.popUp.setWindowTitle("Error")
self.popUp.setText("Username/Password incorrect. Please try again")
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-size:16pt;\">Username</span></p></body></html>"))
self.label_2.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-size:16pt;\">Password</span></p></body></html>"))
self.pushButton.setText(_translate("MainWindow", "Log in"))
self.pushButton_2.setText(_translate("MainWindow", "Not Registered? Click here")
)
class Ui_FirstLoginScreen(object):
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 572)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(80, 20, 47, 21))
self.label.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label.setAlignment(QtCore.Qt.AlignCenter)
self.label.setObjectName("label")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(450, 20, 51, 21))
self.label_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_2.setAlignment(QtCore.Qt.AlignCenter)
self.label_2.setObjectName("label_2")
self.popUp = QMessageBox()
self.popUp.setWindowTitle("Error")
self.popUp.setText("Bad input, please only enter integers")
self.listOfIncome = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncome.setGeometry(QtCore.QRect(80, 50, 121, 391))
self.listOfIncome.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.listOfIncome.setObjectName("listOfIncome")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
self.listOfExpenses = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpenses.setGeometry(QtCore.QRect(450, 50, 131, 391))
self.listOfExpenses.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfExpenses.setObjectName("listOfExpenses")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
self.saveButton = QtWidgets.QPushButton(self.centralwidget)
self.saveButton.setGeometry(QtCore.QRect(700, 480, 75, 23))
self.saveButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.saveButton.setObjectName("saveButton")
self.listOfIncomeSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncomeSEK.setGeometry(QtCore.QRect(200, 50, 141, 391))
self.listOfIncomeSEK.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfIncomeSEK.setObjectName("listOfIncomeSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(
QtCore.Qt.ItemIsSelectable | QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled
)
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncomeSEK.addItem(item)
self.listOfExpensesSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpensesSEK.setGeometry(QtCore.QRect(580, 50, 131, 391))
self.listOfExpensesSEK.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfExpensesSEK.setObjectName("listOfExpensesSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(20, 480, 75, 23))
self.pushButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.pushButton.setObjectName("pushButton")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(160, 0, 211, 21))
self.label_3.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_3.setAlignment(QtCore.Qt.AlignCenter)
self.label_3.setObjectName("label_3")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 800, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Income"))
self.label_2.setText(_translate("MainWindow", "Expenses"))
__sortingEnabled = self.listOfIncome.isSortingEnabled()
self.listOfIncome.setSortingEnabled(False)
item = self.listOfIncome.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfIncome.item(1)
item.setText(_translate("MainWindow", "Total Income"))
self.listOfIncome.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpenses.isSortingEnabled()
self.listOfExpenses.setSortingEnabled(False)
item = self.listOfExpenses.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfExpenses.item(1)
item.setText(_translate("MainWindow", "Fixed expenses:"))
item = self.listOfExpenses.item(2)
item.setText(_translate("MainWindow", "Subscriptions"))
item = self.listOfExpenses.item(3)
item.setText(_translate("MainWindow", "Insurance"))
item = self.listOfExpenses.item(4)
item.setText(_translate("MainWindow", "Rent"))
item = self.listOfExpenses.item(5)
item.setText(_translate("MainWindow", "Others"))
item = self.listOfExpenses.item(10)
item.setText(_translate("MainWindow", "Variable expenses:"))
item = self.listOfExpenses.item(11)
item.setText(_translate("MainWindow", "Transportation"))
item = self.listOfExpenses.item(12)
item.setText(_translate("MainWindow", "Entertainment"))
item = self.listOfExpenses.item(13)
item.setText(_translate("MainWindow", "Clothes"))
item = self.listOfExpenses.item(14)
item.setText(_translate("MainWindow", "Hygien"))
item = self.listOfExpenses.item(15)
item.setText(_translate("MainWindow", "Food"))
item = self.listOfExpenses.item(16)
item.setText(_translate("MainWindow", "Bills"))
item = self.listOfExpenses.item(17)
item.setText(_translate("MainWindow", "Others"))
self.listOfExpenses.setSortingEnabled(__sortingEnabled)
self.saveButton.setText(_translate("MainWindow", "Save"))
__sortingEnabled = self.listOfIncomeSEK.isSortingEnabled()
self.listOfIncomeSEK.setSortingEnabled(False)
item = self.listOfIncomeSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfIncomeSEK.item(1)
item.setText(_translate("MainWindow", "0"))
self.listOfIncomeSEK.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpensesSEK.isSortingEnabled()
self.listOfExpensesSEK.setSortingEnabled(False)
item = self.listOfExpensesSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfExpensesSEK.item(2)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(3)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(4)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(5)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(11)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(12)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(13)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(14)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(15)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(16)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(17)
item.setText(_translate("MainWindow", "0"))
self.listOfExpensesSEK.setSortingEnabled(__sortingEnabled)
self.pushButton.setText(_translate("MainWindow", "Back"))
self.label_3.setText(_translate("MainWindow",
"Set your income and expenses"))
class Ui_MenuScreen(object):
"""Menu Window"""
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(1917, 1010)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(880, 430, 171, 41))
self.pushButton.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 10pt \"MS Shell Dlg 2\";")
self.pushButton.setObjectName("pushButton")
self.pushButton_2 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_2.setGeometry(QtCore.QRect(880, 500, 171, 41))
self.pushButton_2.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 10pt \"MS Shell Dlg 2\";")
self.pushButton_2.setObjectName("pushButton_2")
self.pushButton_3 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_3.setGeometry(QtCore.QRect(880, 570, 171, 41))
self.pushButton_3.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 10pt \"MS Shell Dlg 2\";")
self.pushButton_3.setObjectName("pushButton_3")
self.pushButton_4 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_4.setGeometry(QtCore.QRect(880, 640, 171, 41))
self.pushButton_4.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 10pt \"MS Shell Dlg 2\";")
self.pushButton_4.setObjectName("pushButton_4")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(0, 0, 450, 200))
self.label_2.setText("")
self.label_2.setPixmap(QtGui.QPixmap("STMP-Logo.png"))
self.label_2.setScaledContents(True)
self.label_2.setObjectName("label_2")
self.pushButton_5 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_5.setGeometry(QtCore.QRect(60, 900, 171, 61))
self.pushButton_5.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 12pt \"MS Shell Dlg 2\";")
self.pushButton_5.setObjectName("pushButton_5")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(880, 320, 291, 41))
self.label.setStyleSheet("font: 14pt \"MS Shell Dlg 2\";")
self.label.setAlignment(QtCore.Qt.AlignLeading|QtCore.Qt.AlignLeft|QtCore.Qt.AlignVCenter)
self.label.setObjectName("label")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 1917, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.pushButton.setText(_translate("MainWindow", "Make a budget"))
self.pushButton_2.setText(_translate("MainWindow", "Create long-term savings"))
self.pushButton_3.setText(_translate("MainWindow", "Set your buffert"))
self.pushButton_4.setText(_translate("MainWindow", "Economic overview"))
self.pushButton_5.setText(_translate("MainWindow", "Log out"))
self.label.setText(_translate("MainWindow", f"Welcome, {self.customer.first_name}"))
class Ui_RegisterScreen(object):
"""Register window."""
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(1917, 1010)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(920, 340, 91, 51))
self.label.setStyleSheet("font: 75 18pt \"MS Shell Dlg 2\";\n"
"text-decoration: underline;\n"
"")
self.label.setObjectName("label")
self.username = QtWidgets.QLineEdit(self.centralwidget)
self.username.setGeometry(QtCore.QRect(910, 430, 111, 21))
self.username.setStyleSheet("background-color: rgb(255, 255, 255);")
self.username.setObjectName("lineEdit")
self.password = QtWidgets.QLineEdit(self.centralwidget)
self.password.setEchoMode(QtWidgets.QLineEdit.Password)
self.password.setGeometry(QtCore.QRect(910, 490, 111, 21))
self.password.setStyleSheet("background-color: rgb(255, 255, 255);")
self.password.setObjectName("lineEdit_2")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(910, 410, 111, 16))
self.label_2.setStyleSheet("font: 12pt \"MS Shell Dlg 2\";")
self.label_2.setObjectName("label_2")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(910, 470, 91, 16))
self.label_3.setStyleSheet("font: 12pt \"MS Shell Dlg 2\";")
self.label_3.setObjectName("label_3")
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(920, 690, 81, 41))
self.pushButton.setStyleSheet("background-color: rgb(255, 255, 255);\n"
"font: 75 12pt \"MS Shell Dlg 2\";\n"
"")
self.pushButton.setObjectName("pushButton")
self.lastname = QtWidgets.QLineEdit(self.centralwidget)
self.lastname.setGeometry(QtCore.QRect(910, 610, 111, 21))
self.lastname.setStyleSheet("background-color: rgb(255, 255, 255);")
self.lastname.setObjectName("lineEdit_3")
self.firstname = QtWidgets.QLineEdit(self.centralwidget)
self.firstname.setGeometry(QtCore.QRect(910, 550, 111, 21))
self.firstname.setStyleSheet("background-color: rgb(255, 255, 255);")
self.firstname.setObjectName("lineEdit_4")
self.label_5 = QtWidgets.QLabel(self.centralwidget)
self.label_5.setGeometry(QtCore.QRect(910, 530, 111, 16))
self.label_5.setStyleSheet("font: 12pt \"MS Shell Dlg 2\";")
self.label_5.setObjectName("label_5")
self.label_6 = QtWidgets.QLabel(self.centralwidget)
self.label_6.setGeometry(QtCore.QRect(910, 590, 91, 16))
self.label_6.setStyleSheet("font: 12pt \"MS Shell Dlg 2\";")
self.label_6.setObjectName("label_6")
self.STMPlogo = QtWidgets.QLabel(self.centralwidget)
self.STMPlogo.setGeometry(QtCore.QRect(0, 0, 450, 200))
self.STMPlogo.setText("")
self.STMPlogo.setPixmap(QtGui.QPixmap("STMP-Logo.png"))
self.STMPlogo.setScaledContents(True)
self.STMPlogo.setObjectName("STMPlogo")
self.pushButton_2 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_2.setGeometry(QtCore.QRect(30, 920, 121, 61))
self.pushButton_2.setStyleSheet("font: 12pt \"MS Shell Dlg 2\";\n"
"background-color: rgb(255, 255, 255);")
self.pushButton_2.setObjectName("pushButton_2")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 1917, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.popUp = QMessageBox()
self.popUp.setWindowTitle("")
self.popUp.setText("Incorrect email, please try again")
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Register"))
self.label_2.setText(_translate("MainWindow", "Email"))
self.label_3.setText(_translate("MainWindow", "Password"))
self.pushButton.setText(_translate("MainWindow", "Register"))
self.label_5.setText(_translate("MainWindow", "First name"))
self.label_6.setText(_translate("MainWindow", "Last name"))
self.pushButton_2.setText(_translate("MainWindow", "Back"))
class Ui_BudgetScreen(object):
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 572)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(80, 20, 47, 21))
self.label.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label.setAlignment(QtCore.Qt.AlignCenter)
self.label.setObjectName("label")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(450, 20, 51, 21))
self.label_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_2.setAlignment(QtCore.Qt.AlignCenter)
self.label_2.setObjectName("label_2")
self.listOfIncome = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncome.setGeometry(QtCore.QRect(80, 50, 121, 391))
self.listOfIncome.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfIncome.setObjectName("listOfIncome")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
self.listOfExpenses = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpenses.setGeometry(QtCore.QRect(450, 50, 131, 391))
self.listOfExpenses.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfExpenses.setObjectName("listOfExpenses")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpenses.addItem(item)
self.moneyleftLabel = QtWidgets.QLabel(self.centralwidget)
self.moneyleftLabel.setGeometry(QtCore.QRect(260, 450, 131, 41))
self.moneyleftLabel.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.moneyleftLabel.setAlignment(QtCore.Qt.AlignHCenter |
QtCore.Qt.AlignTop)
self.moneyleftLabel.setObjectName("moneyleftLabel")
self.saving_goal = QtWidgets.QLabel(self.centralwidget)
self.saving_goal.setGeometry(QtCore.QRect(410, 450, 131, 41))
self.saving_goal.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.saving_goal.setAlignment(QtCore.Qt.AlignHCenter |
QtCore.Qt.AlignTop)
self.saving_goal.setObjectName("saving_goal")
self.saveButton = QtWidgets.QPushButton(self.centralwidget)
self.saveButton.setGeometry(QtCore.QRect(700, 480, 75, 23))
self.saveButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.saveButton.setObjectName("saveButton")
self.listOfIncomeSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncomeSEK.setGeometry(QtCore.QRect(200, 50, 141, 391))
self.listOfIncomeSEK.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfIncomeSEK.setObjectName("listOfIncomeSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncomeSEK.addItem(item)
self.listOfExpensesSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpensesSEK.setGeometry(QtCore.QRect(580, 50, 131, 391))
self.listOfExpensesSEK.setStyleSheet("background-color: \
rgb(255, 255, 255);")
self.listOfExpensesSEK.setObjectName("listOfExpensesSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
item.setFlags(QtCore.Qt.ItemIsSelectable |
QtCore.Qt.ItemIsEditable |
QtCore.Qt.ItemIsDragEnabled |
QtCore.Qt.ItemIsUserCheckable |
QtCore.Qt.ItemIsEnabled)
self.listOfExpensesSEK.addItem(item)
self.backButton = QtWidgets.QPushButton(self.centralwidget)
self.backButton.setGeometry(QtCore.QRect(20, 480, 75, 23))
self.backButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.backButton.setObjectName("backButton")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(300, 470, 47, 13))
self.label_3.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_3.setObjectName("label_3")
self.label_4 = QtWidgets.QLabel(self.centralwidget)
self.label_4.setGeometry(QtCore.QRect(450, 470, 47, 13))
self.label_4.setAlignment(QtCore.Qt.AlignCenter)
self.label_4.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_4.setObjectName("label_4")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 800, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.popUp = QMessageBox()
self.popUp.setWindowTitle("Error")
self.popUp.setText("Bad input, please enter only positive integers")
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Income"))
self.label_2.setText(_translate("MainWindow", "Expenses"))
self.saving_goal.setText(_translate("MainWindow", "Your saving goal:"))
__sortingEnabled = self.listOfIncome.isSortingEnabled()
self.listOfIncome.setSortingEnabled(False)
item = self.listOfIncome.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfIncome.item(1)
item.setText(_translate("MainWindow", "Total Income"))
self.listOfIncome.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpenses.isSortingEnabled()
self.listOfExpenses.setSortingEnabled(False)
item = self.listOfExpenses.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfExpenses.item(1)
item.setText(_translate("MainWindow", "Fixed expenses:"))
item = self.listOfExpenses.item(2)
item.setText(_translate("MainWindow", "Subscriptions"))
item = self.listOfExpenses.item(3)
item.setText(_translate("MainWindow", "Insurance"))
item = self.listOfExpenses.item(4)
item.setText(_translate("MainWindow", "Rent"))
item = self.listOfExpenses.item(5)
item.setText(_translate("MainWindow", "Others"))
item = self.listOfExpenses.item(10)
item.setText(_translate("MainWindow", "Variable expenses:"))
item = self.listOfExpenses.item(11)
item.setText(_translate("MainWindow", "Food"))
item = self.listOfExpenses.item(12)
item.setText(_translate("MainWindow", "Bills"))
item = self.listOfExpenses.item(13)
item.setText(_translate("MainWindow", "Transportation"))
item = self.listOfExpenses.item(14)
item.setText(_translate("MainWindow", "Hygien"))
item = self.listOfExpenses.item(15)
item.setText(_translate("MainWindow", "Clothes"))
item = self.listOfExpenses.item(16)
item.setText(_translate("MainWindow", "Entertainment"))
item = self.listOfExpenses.item(17)
item.setText(_translate("MainWindow", "Others"))
item = self.listOfExpenses.item(20)
item.setText(_translate("MainWindow", "Buffert"))
self.listOfExpenses.setSortingEnabled(__sortingEnabled)
self.moneyleftLabel.setText(_translate("MainWindow",
"Money left to spend:"))
self.saveButton.setText(_translate("MainWindow", "Save"))
__sortingEnabled = self.listOfIncomeSEK.isSortingEnabled()
self.listOfIncomeSEK.setSortingEnabled(False)
item = self.listOfIncomeSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfIncomeSEK.item(1)
item.setText(_translate("MainWindow", "0"))
self.listOfIncomeSEK.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpensesSEK.isSortingEnabled()
self.listOfExpensesSEK.setSortingEnabled(False)
item = self.listOfExpensesSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfExpensesSEK.item(1)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(2)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(3)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(4)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(5)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(10)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(11)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(12)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(13)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(14)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(15)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(16)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(17)
item.setText(_translate("MainWindow", "0"))
item = self.listOfExpensesSEK.item(20)
item.setText(_translate("MainWindow", "0"))
self.listOfExpensesSEK.setSortingEnabled(__sortingEnabled)
self.backButton.setText(_translate("MainWindow", "Back"))
self.label_3.setText(_translate("MainWindow", "put money left here"))
class Ui_SavinggoalScreen(object):
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(606, 403)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(50, 20, 71, 21))
self.label.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label.setAlignment(QtCore.Qt.AlignCenter)
self.label.setWordWrap(True)
self.label.setObjectName("label")
self.lineEdit = QtWidgets.QLineEdit(self.centralwidget)
self.lineEdit.setGeometry(QtCore.QRect(50, 80, 161, 20))
self.lineEdit.setToolTip("")
self.lineEdit.setAccessibleDescription("")
self.lineEdit.setStyleSheet("background-color: rgb(255, 255, 255);")
self.lineEdit.setInputMask("")
self.lineEdit.setObjectName("lineEdit")
self.lineEdit_2 = QtWidgets.QLineEdit(self.centralwidget)
self.lineEdit_2.setGeometry(QtCore.QRect(50, 120, 161, 20))
self.lineEdit_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.lineEdit_2.setObjectName("lineEdit_3")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(430, 40, 151, 71))
self.label_3.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_3.setTextFormat(QtCore.Qt.RichText)
self.label_3.setAlignment(QtCore.Qt.AlignLeading|QtCore.Qt.AlignLeft|QtCore.Qt.AlignTop)
self.label_3.setObjectName("label_3")
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(50, 330, 121, 31))
self.pushButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.pushButton.setObjectName("pushButton")
self.pushButton_2 = QtWidgets.QPushButton(self.centralwidget)
self.pushButton_2.setGeometry(QtCore.QRect(280, 170, 75, 31))
self.pushButton_2.setMinimumSize(QtCore.QSize(75, 0))
self.pushButton_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.pushButton_2.setObjectName("pushButton_2")
self.textBrowser = QtWidgets.QTextBrowser(self.centralwidget)
self.textBrowser.setGeometry(QtCore.QRect(50, 160, 161, 51))
self.textBrowser.setStyleSheet("background-color: rgb(255, 255, 255);")
self.textBrowser.setObjectName("textBrowser")
self.popUp = QMessageBox()
self.popUp.setWindowTitle("Error")
self.popUp.setText("Bad input, please only enter positive integers")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 606, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Saving goal"))
self.lineEdit.setPlaceholderText(_translate("MainWindow",
"Amount to save a month"))
self.lineEdit_2.setPlaceholderText(_translate("MainWindow",
"Your saving goal"))
self.label_3.setText(_translate("MainWindow",
"<html><head/><body><p>Play around and \
see how long </p><p>it would take \
to reach your</p><p>saving goal \
or buffert</p></body></html>"))
self.pushButton.setText(_translate("MainWindow", "Back"))
self.pushButton_2.setText(_translate("MainWindow", "Calculate"))
class Ui_BuffertScreen(object):
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(460, 337)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(100, 0, 251, 21))
self.label.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label.setAlignment(QtCore.Qt.AlignCenter)
self.label.setObjectName("label")
self.popUp = QMessageBox()
self.popUp.setWindowTitle("Error")
self.popUp.setText("Bad input, please only enter positive integers")
self.totalincome = QtWidgets.QTextBrowser(self.centralwidget)
self.totalincome.setGeometry(QtCore.QRect(100, 80, 256, 51))
self.totalincome.setStyleSheet("background-color: rgb(255, 255, 255);")
self.totalincome.setObjectName("totalincome")
self.totalexpenses = QtWidgets.QTextBrowser(self.centralwidget)
self.totalexpenses.setGeometry(QtCore.QRect(100, 160, 256, 51))
self.totalexpenses.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.totalexpenses.setObjectName("totalexpenses")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(100, 60, 47, 13))
self.label_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_2.setAlignment(QtCore.Qt.AlignCenter)
self.label_2.setObjectName("label_2")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(100, 140, 51, 16))
self.label_3.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_3.setAlignment(QtCore.Qt.AlignCenter)
self.label_3.setObjectName("label_3")
self.label_4 = QtWidgets.QLabel(self.centralwidget)
self.label_4.setGeometry(QtCore.QRect(100, 220, 47, 13))
self.label_4.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_4.setAlignment(QtCore.Qt.AlignCenter)
self.label_4.setObjectName("label_4")
self.label_5 = QtWidgets.QLabel(self.centralwidget)
self.label_5.setGeometry(QtCore.QRect(260, 220, 71, 13))
self.label_5.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_5.setAlignment(QtCore.Qt.AlignCenter)
self.label_5.setObjectName("label_5")
self.amount_of_budget = QtWidgets.QProgressBar(self.centralwidget)
self.amount_of_budget.setGeometry(QtCore.QRect(260, 240, 91, 23))
self.amount_of_budget.setProperty("value", 0)
self.amount_of_budget.setObjectName("amount_of_budget")
self.save_button = QtWidgets.QPushButton(self.centralwidget)
self.save_button.setGeometry(QtCore.QRect(380, 270, 75, 23))
self.save_button.setStyleSheet("background-color: rgb(255, 255, 255);")
self.save_button.setObjectName("save_button")
self.back_button = QtWidgets.QPushButton(self.centralwidget)
self.back_button.setGeometry(QtCore.QRect(10, 270, 75, 21))
self.back_button.setStyleSheet("background-color: rgb(255, 255, 255);")
self.back_button.setObjectName("back_button")
self.buffert_input = QtWidgets.QLineEdit(self.centralwidget)
self.buffert_input.setGeometry(QtCore.QRect(100, 240, 131, 21))
self.buffert_input.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.buffert_input.setObjectName("buffert_input")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 460, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Set your buffert"))
self.label_2.setText(_translate("MainWindow", "Income"))
self.label_3.setText(_translate("MainWindow", "Expenses"))
self.save_button.setText(_translate("MainWindow", "Save"))
self.back_button.setText(_translate("MainWindow", "Back"))
self.label_4.setText(_translate("MainWindow", "Buffert:"))
self.label_5.setText(_translate("MainWindow", "'%' of budget"))
class Ui_EcoOverviewScreen(object):
def setupUi(self, MainWindow):
self.customer = Account.getInstance()
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 572)
MainWindow.setStyleSheet("background-color: rgb(3, 130, 168);")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(70, 50, 47, 21))
self.label.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label.setAlignment(QtCore.Qt.AlignCenter)
self.label.setObjectName("label")
self.label_2 = QtWidgets.QLabel(self.centralwidget)
self.label_2.setGeometry(QtCore.QRect(490, 50, 51, 21))
self.label_2.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_2.setAlignment(QtCore.Qt.AlignCenter)
self.label_2.setObjectName("label_2")
self.listOfIncome = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncome.setGeometry(QtCore.QRect(70, 80, 121, 151))
self.listOfIncome.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.listOfIncome.setObjectName("listOfIncome")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncome.addItem(item)
self.listOfExpenses = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpenses.setGeometry(QtCore.QRect(490, 80, 131, 361))
self.listOfExpenses.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.listOfExpenses.setObjectName("listOfExpenses")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpenses.addItem(item)
self.moneyleftLabel = QtWidgets.QLabel(self.centralwidget)
self.moneyleftLabel.setGeometry(QtCore.QRect(330, 470, 141, 41))
self.moneyleftLabel.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.moneyleftLabel.setAlignment(QtCore.Qt.AlignHCenter |
QtCore.Qt.AlignTop)
self.moneyleftLabel.setObjectName("moneyleftLabel")
self.listOfIncomeSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfIncomeSEK.setGeometry(QtCore.QRect(190, 80, 141, 151))
self.listOfIncomeSEK.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.listOfIncomeSEK.setObjectName("listOfIncomeSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncomeSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfIncomeSEK.addItem(item)
self.listOfExpensesSEK = QtWidgets.QListWidget(self.centralwidget)
self.listOfExpensesSEK.setGeometry(QtCore.QRect(620, 80, 131, 361))
self.listOfExpensesSEK.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.listOfExpensesSEK.setObjectName("listOfExpensesSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.listOfExpensesSEK.addItem(item)
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(20, 480, 75, 23))
self.pushButton.setStyleSheet("background-color: rgb(255, 255, 255);")
self.pushButton.setObjectName("pushButton")
self.label_3 = QtWidgets.QLabel(self.centralwidget)
self.label_3.setGeometry(QtCore.QRect(370, 490, 47, 13))
self.label_3.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_3.setAlignment(QtCore.Qt.AlignCenter)
self.label_3.setObjectName("label_3")
self.label_4 = QtWidgets.QLabel(self.centralwidget)
self.label_4.setGeometry(QtCore.QRect(70, 260, 47, 21))
self.label_4.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_4.setAlignment(QtCore.Qt.AlignCenter)
self.label_4.setObjectName("label_4")
self.savingsList = QtWidgets.QListWidget(self.centralwidget)
self.savingsList.setGeometry(QtCore.QRect(70, 290, 121, 151))
self.savingsList.setStyleSheet("background-color: rgb(255, 255, 255);")
self.savingsList.setObjectName("savingsList")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.savingsList.addItem(item)
item = QtWidgets.QListWidgetItem()
self.savingsList.addItem(item)
item = QtWidgets.QListWidgetItem()
self.savingsList.addItem(item)
self.savingsListSEK = QtWidgets.QListWidget(self.centralwidget)
self.savingsListSEK.setGeometry(QtCore.QRect(190, 290, 141, 151))
self.savingsListSEK.setStyleSheet("background-color:\
rgb(255, 255, 255);")
self.savingsListSEK.setObjectName("savingsListSEK")
item = QtWidgets.QListWidgetItem()
font = QtGui.QFont()
font.setBold(True)
font.setWeight(75)
item.setFont(font)
self.savingsListSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.savingsListSEK.addItem(item)
item = QtWidgets.QListWidgetItem()
self.savingsListSEK.addItem(item)
self.label_5 = QtWidgets.QLabel(self.centralwidget)
self.label_5.setGeometry(QtCore.QRect(290, 0, 241, 21))
self.label_5.setStyleSheet("background-color: rgb(255, 255, 255);")
self.label_5.setAlignment(QtCore.Qt.AlignCenter)
self.label_5.setObjectName("label_5")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 800, 21))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "STMP"))
self.label.setText(_translate("MainWindow", "Income"))
self.label_2.setText(_translate("MainWindow", "Expenses"))
__sortingEnabled = self.listOfIncome.isSortingEnabled()
self.listOfIncome.setSortingEnabled(False)
item = self.listOfIncome.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfIncome.item(1)
item.setText(_translate("MainWindow", "Total Income"))
self.listOfIncome.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpenses.isSortingEnabled()
self.listOfExpenses.setSortingEnabled(False)
item = self.listOfExpenses.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.listOfExpenses.item(1)
item.setText(_translate("MainWindow", "Fixed expenses:"))
item = self.listOfExpenses.item(2)
item.setText(_translate("MainWindow", "Subscriptions"))
item = self.listOfExpenses.item(3)
item.setText(_translate("MainWindow", "Insurance"))
item = self.listOfExpenses.item(4)
item.setText(_translate("MainWindow", "Rent"))
item = self.listOfExpenses.item(5)
item.setText(_translate("MainWindow", "Others"))
item = self.listOfExpenses.item(10)
item.setText(_translate("MainWindow", "Variable expenses:"))
item = self.listOfExpenses.item(11)
item.setText(_translate("MainWindow", "Transportation"))
item = self.listOfExpenses.item(12)
item.setText(_translate("MainWindow", "Entertainment"))
item = self.listOfExpenses.item(13)
item.setText(_translate("MainWindow", "Clothes"))
item = self.listOfExpenses.item(14)
item.setText(_translate("MainWindow", "Hygien"))
item = self.listOfExpenses.item(15)
item.setText(_translate("MainWindow", "Food"))
item = self.listOfExpenses.item(16)
item.setText(_translate("MainWindow", "Bills"))
item = self.listOfExpenses.item(17)
item.setText(_translate("MainWindow", "Others"))
self.listOfExpenses.setSortingEnabled(__sortingEnabled)
self.moneyleftLabel.setText(_translate("MainWindow",
"Money left to spend/save:"))
__sortingEnabled = self.listOfIncomeSEK.isSortingEnabled()
self.listOfIncomeSEK.setSortingEnabled(False)
item = self.listOfIncomeSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfIncomeSEK.item(1)
item.setText(_translate("MainWindow", "0"))
self.listOfIncomeSEK.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.listOfExpensesSEK.isSortingEnabled()
self.listOfExpensesSEK.setSortingEnabled(False)
item = self.listOfExpensesSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.listOfExpensesSEK.item(1)
item.setText(_translate("MainWindow", "totalFixed"))
item = self.listOfExpensesSEK.item(2)
item.setText(_translate("MainWindow", "Subscriptions"))
item = self.listOfExpensesSEK.item(3)
item.setText(_translate("MainWindow", "insurance"))
item = self.listOfExpensesSEK.item(4)
item.setText(_translate("MainWindow", "rent"))
item = self.listOfExpensesSEK.item(5)
item.setText(_translate("MainWindow", "other"))
item = self.listOfExpensesSEK.item(10)
item.setText(_translate("MainWindow", "totalvariable"))
item = self.listOfExpensesSEK.item(11)
item.setText(_translate("MainWindow", "transport"))
item = self.listOfExpensesSEK.item(12)
item.setText(_translate("MainWindow", "entertainment"))
item = self.listOfExpensesSEK.item(13)
item.setText(_translate("MainWindow", "clothes"))
item = self.listOfExpensesSEK.item(14)
item.setText(_translate("MainWindow", "hygien"))
item = self.listOfExpensesSEK.item(15)
item.setText(_translate("MainWindow", "food"))
item = self.listOfExpensesSEK.item(16)
item.setText(_translate("MainWindow", "bills"))
item = self.listOfExpensesSEK.item(17)
item.setText(_translate("MainWindow", "others"))
self.listOfExpensesSEK.setSortingEnabled(__sortingEnabled)
self.pushButton.setText(_translate("MainWindow", "Back"))
self.label_3.setText(_translate("MainWindow", "0"))
self.label_4.setText(_translate("MainWindow", "Savings"))
__sortingEnabled = self.savingsList.isSortingEnabled()
self.savingsList.setSortingEnabled(False)
item = self.savingsList.item(0)
item.setText(_translate("MainWindow", "Type:"))
item = self.savingsList.item(1)
item.setText(_translate("MainWindow", "Saving goal"))
item = self.savingsList.item(2)
item.setText(_translate("MainWindow", "Buffert"))
self.savingsList.setSortingEnabled(__sortingEnabled)
__sortingEnabled = self.savingsListSEK.isSortingEnabled()
self.savingsListSEK.setSortingEnabled(False)
item = self.savingsListSEK.item(0)
item.setText(_translate("MainWindow", "Amount:"))
item = self.savingsListSEK.item(1)
item.setText(_translate("MainWindow", "0"))
item = self.savingsListSEK.item(2)
item.setText(_translate("MainWindow", "0"))
self.savingsListSEK.setSortingEnabled(__sortingEnabled)
self.label_5.setText(_translate("MainWindow", "Current budget:"))
| 51.267636
| 146
| 0.65571
| 6,716
| 70,493
| 6.814324
| 0.048987
| 0.069332
| 0.08465
| 0.065028
| 0.909079
| 0.887709
| 0.864219
| 0.857249
| 0.840708
| 0.80555
| 0
| 0.03707
| 0.228519
| 70,493
| 1,374
| 147
| 51.304949
| 0.804446
| 0.000667
| 0
| 0.818998
| 0
| 0
| 0.093824
| 0.002101
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011967
| false
| 0.006731
| 0.002244
| 0
| 0.020194
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6253beff31f18027ad6198b0c497c83b483231fa
| 43
|
py
|
Python
|
design/singleton/__init__.py
|
letitgone/python-in-action
|
5cd2912afdf439f575f97c5bba9bcd001bd9a6e5
|
[
"MIT"
] | 1
|
2020-12-26T14:32:49.000Z
|
2020-12-26T14:32:49.000Z
|
design/singleton/__init__.py
|
letitgone/python-in-action
|
5cd2912afdf439f575f97c5bba9bcd001bd9a6e5
|
[
"MIT"
] | null | null | null |
design/singleton/__init__.py
|
letitgone/python-in-action
|
5cd2912afdf439f575f97c5bba9bcd001bd9a6e5
|
[
"MIT"
] | null | null | null |
# @Author ZhangGJ
# @Date 2021/08/03 10:03
| 14.333333
| 24
| 0.674419
| 8
| 43
| 3.625
| 0.875
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| 43
| 2
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| 0.883721
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|
0
| 7
|
626380aee2309abb8e6f3487162f0e3135960fe0
| 135
|
py
|
Python
|
ceefax/functions/__init__.py
|
mscroggs/CEEFAX
|
8e7a075de1809064b77360da24ebbbaa409c3bf2
|
[
"MIT"
] | 1
|
2020-03-28T15:53:22.000Z
|
2020-03-28T15:53:22.000Z
|
ceefax/functions/__init__.py
|
mscroggs/CEEFAX
|
8e7a075de1809064b77360da24ebbbaa409c3bf2
|
[
"MIT"
] | 1
|
2021-02-05T13:43:52.000Z
|
2021-02-05T13:43:52.000Z
|
ceefax/functions/__init__.py
|
mscroggs/CEEFAX
|
8e7a075de1809064b77360da24ebbbaa409c3bf2
|
[
"MIT"
] | null | null | null |
from .replacer import replace
from .strip_tags import strip_tags
def strip_tags_and_replace(txt):
return replace(strip_tags(txt))
| 22.5
| 35
| 0.807407
| 21
| 135
| 4.904762
| 0.47619
| 0.349515
| 0
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| 0
| 0
| 0
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| 135
| 5
| 36
| 27
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| 1
| 0.25
| false
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| null | 1
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| 1
| 1
| 1
| 0
|
0
| 7
|
627bd0aa250e785ea03ec888a6dc30a75a052e47
| 7,981
|
py
|
Python
|
tests/unit/test_conditions.py
|
Tehnode/wagtail-tag-manager
|
048a03fe61b57ddd1eea0377ab26cf96527f5457
|
[
"BSD-3-Clause"
] | 59
|
2018-06-13T07:30:42.000Z
|
2022-03-22T02:14:34.000Z
|
tests/unit/test_conditions.py
|
Tehnode/wagtail-tag-manager
|
048a03fe61b57ddd1eea0377ab26cf96527f5457
|
[
"BSD-3-Clause"
] | 74
|
2018-08-09T20:52:56.000Z
|
2022-03-02T08:39:30.000Z
|
tests/unit/test_conditions.py
|
Tehnode/wagtail-tag-manager
|
048a03fe61b57ddd1eea0377ab26cf96527f5457
|
[
"BSD-3-Clause"
] | 23
|
2018-10-10T05:29:38.000Z
|
2022-01-19T15:09:51.000Z
|
import pytest
from tests.factories.trigger import TriggerFactory
from wagtail_tag_manager.models import TriggerCondition
@pytest.mark.django_db
def test_trigger_condition_empty():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
variable="trigger_value", value="test", trigger=trigger
)
assert trigger_condition.validate({}) is False
@pytest.mark.django_db
def test_trigger_condition_exact_match():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_EXACT_MATCH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "tes"}) is False
assert trigger_condition.validate({"trigger_value": "test"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_exact_match():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_EXACT_MATCH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "test"}) is False
assert trigger_condition.validate({"trigger_value": "tes"}) is True
@pytest.mark.django_db
def test_trigger_condition_contains():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_CONTAINS,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "tesing"}) is False
assert trigger_condition.validate({"trigger_value": "testing"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_contains():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_CONTAINS,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "testing"}) is False
assert trigger_condition.validate({"trigger_value": "tesing"}) is True
@pytest.mark.django_db
def test_trigger_condition_starts_with():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_STARTS_WITH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "esting"}) is False
assert trigger_condition.validate({"trigger_value": "testing"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_starts_with():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_STARTS_WITH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "testing"}) is False
assert trigger_condition.validate({"trigger_value": "esting"}) is True
@pytest.mark.django_db
def test_trigger_condition_ends_with():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_ENDS_WITH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "testing"}) is False
assert trigger_condition.validate({"trigger_value": "test"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_ends_with():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_ENDS_WITH,
variable="trigger_value",
value="test",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "test"}) is False
assert trigger_condition.validate({"trigger_value": "testing"}) is True
@pytest.mark.django_db
def test_trigger_condition_regex_match():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_REGEX_MATCH,
variable="trigger_value",
value=r"^[a-z]+$",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "test1"}) is False
assert trigger_condition.validate({"trigger_value": "test"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_regex_match():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_REGEX_MATCH,
variable="trigger_value",
value=r"^[a-z]+$",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "test"}) is False
assert trigger_condition.validate({"trigger_value": "test1"}) is True
@pytest.mark.django_db
def test_trigger_condition_regex_imatch():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_REGEX_IMATCH,
variable="trigger_value",
value=r"^[a-z]+$",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "TEST1"}) is False
assert trigger_condition.validate({"trigger_value": "TEST"}) is True
@pytest.mark.django_db
def test_trigger_condition_not_regex_imatch():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_NOT_REGEX_IMATCH,
variable="trigger_value",
value=r"^[a-z]+$",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "TEST"}) is False
assert trigger_condition.validate({"trigger_value": "TEST1"}) is True
@pytest.mark.django_db
def test_trigger_condition_lower_than():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_LT,
variable="trigger_value",
value="1",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "1.1"}) is False
assert trigger_condition.validate({"trigger_value": "1"}) is False
assert trigger_condition.validate({"trigger_value": "0.9"}) is True
@pytest.mark.django_db
def test_trigger_condition_lower_than_equal():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_LTE,
variable="trigger_value",
value="1",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "1.1"}) is False
assert trigger_condition.validate({"trigger_value": "1"}) is True
assert trigger_condition.validate({"trigger_value": "0.9"}) is True
@pytest.mark.django_db
def test_trigger_condition_greater_than():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_GT,
variable="trigger_value",
value="1",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "1.1"}) is True
assert trigger_condition.validate({"trigger_value": "1"}) is False
assert trigger_condition.validate({"trigger_value": "0.9"}) is False
@pytest.mark.django_db
def test_trigger_condition_greater_than_equal():
trigger = TriggerFactory()
trigger_condition = TriggerCondition.objects.create(
condition_type=TriggerCondition.CONDITION_GTE,
variable="trigger_value",
value="1",
trigger=trigger,
)
assert trigger_condition.validate({"trigger_value": "1.1"}) is True
assert trigger_condition.validate({"trigger_value": "1"}) is True
assert trigger_condition.validate({"trigger_value": "0.9"}) is False
| 30.346008
| 76
| 0.720586
| 870
| 7,981
| 6.326437
| 0.065517
| 0.206395
| 0.147892
| 0.201672
| 0.978016
| 0.978016
| 0.978016
| 0.966025
| 0.953125
| 0.953125
| 0
| 0.004239
| 0.172284
| 7,981
| 262
| 77
| 30.461832
| 0.828943
| 0
| 0
| 0.647368
| 0
| 0
| 0.114397
| 0
| 0
| 0
| 0
| 0
| 0.194737
| 1
| 0.089474
| false
| 0
| 0.015789
| 0
| 0.105263
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
65816ae87eee56a5459775d0a4763aaaedc510fd
| 7,549
|
py
|
Python
|
soda/core/tests/data_source/test_schema_changes.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 4
|
2022-03-23T02:43:42.000Z
|
2022-03-31T15:20:54.000Z
|
soda/core/tests/data_source/test_schema_changes.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 543
|
2022-03-22T09:02:17.000Z
|
2022-03-31T16:29:41.000Z
|
soda/core/tests/data_source/test_schema_changes.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 1
|
2022-03-27T03:37:55.000Z
|
2022-03-27T03:37:55.000Z
|
from soda.execution.check_outcome import CheckOutcome
from soda.execution.data_type import DataType
from tests.helpers.common_test_tables import customers_test_table
from tests.helpers.data_source_fixture import DataSourceFixture
from tests.helpers.utils import derive_schema_metric_value_from_test_table
def test_schema_changes_pass(data_source_fixture: DataSourceFixture):
table_name = data_source_fixture.ensure_test_table(customers_test_table)
data_source = data_source_fixture.data_source
schema_metric_value_derived_from_test_table = derive_schema_metric_value_from_test_table(
customers_test_table, data_source
)
scan = data_source_fixture.create_test_scan()
scan.mock_historic_values(
metric_identity=f"metric-{scan._scan_definition_name}-{scan._data_source_name}-{table_name}-schema",
metric_values=[schema_metric_value_derived_from_test_table],
)
scan.add_sodacl_yaml_str(
f"""
checks for {table_name}:
- schema:
fail:
when schema changes: any
"""
)
scan.execute()
scan.assert_all_checks_pass()
def test_schema_changes_column_addition(data_source_fixture: DataSourceFixture):
table_name = data_source_fixture.ensure_test_table(customers_test_table)
data_source = data_source_fixture.data_source
# start from the historic measurement value
schema_metric_value_derived_from_test_table = derive_schema_metric_value_from_test_table(
customers_test_table, data_source
)
# remove the 4th column from the historic metric value
# this will result in schema check discovering a column being added
schema_metric_value_derived_from_test_table.pop(3)
scan = data_source_fixture.create_test_scan()
scan.mock_historic_values(
metric_identity=f"metric-{scan._scan_definition_name}-{data_source_fixture.data_source.data_source_name}-{table_name}-schema",
metric_values=[schema_metric_value_derived_from_test_table],
)
scan.add_sodacl_yaml_str(
f"""
checks for {table_name}:
- schema:
fail:
when schema changes:
- column add
- schema:
fail:
when schema changes:
- column delete
- schema:
fail:
when schema changes:
- column type change
- schema:
fail:
when schema changes:
- column index change
- schema:
fail:
when schema changes: any
- schema:
warn:
when schema changes:
- column add
- schema:
warn:
when schema changes:
- column delete
- schema:
warn:
when schema changes:
- column type change
- schema:
warn:
when schema changes:
- column index change
- schema:
warn:
when schema changes: any
"""
)
scan.execute()
assert scan._checks[0].outcome == CheckOutcome.FAIL
assert scan._checks[1].outcome == CheckOutcome.PASS
assert scan._checks[2].outcome == CheckOutcome.PASS
assert scan._checks[3].outcome == CheckOutcome.FAIL
assert scan._checks[4].outcome == CheckOutcome.FAIL
assert scan._checks[5].outcome == CheckOutcome.WARN
assert scan._checks[6].outcome == CheckOutcome.PASS
assert scan._checks[7].outcome == CheckOutcome.PASS
assert scan._checks[8].outcome == CheckOutcome.WARN
assert scan._checks[9].outcome == CheckOutcome.WARN
def test_schema_changes_column_deletion(data_source_fixture: DataSourceFixture):
table_name = data_source_fixture.ensure_test_table(customers_test_table)
data_source = data_source_fixture.data_source
schema_metric_value_derived_from_test_table = derive_schema_metric_value_from_test_table(
customers_test_table, data_source
)
# remove the 3rd column from the historic metric value
schema_metric_value_derived_from_test_table.insert(
3,
{
"columnName": "extra",
"sourceDataType": data_source.get_sql_type_for_schema_check(DataType.TEXT),
},
)
scan = data_source_fixture.create_test_scan()
scan.mock_historic_values(
metric_identity=f"metric-{scan._scan_definition_name}-{data_source_fixture.data_source.data_source_name}-{table_name}-schema",
metric_values=[schema_metric_value_derived_from_test_table],
)
scan.add_sodacl_yaml_str(
f"""
checks for {table_name}:
- schema:
fail:
when schema changes:
- column add
- schema:
fail:
when schema changes:
- column delete
- schema:
fail:
when schema changes:
- column type change
- schema:
fail:
when schema changes:
- column index change
- schema:
fail:
when schema changes: any
- schema:
warn:
when schema changes:
- column add
- schema:
warn:
when schema changes:
- column delete
- schema:
warn:
when schema changes:
- column type change
- schema:
warn:
when schema changes:
- column index change
- schema:
warn:
when schema changes: any
"""
)
scan.execute()
assert scan._checks[0].outcome == CheckOutcome.PASS
assert scan._checks[1].outcome == CheckOutcome.FAIL
assert scan._checks[2].outcome == CheckOutcome.PASS
assert scan._checks[3].outcome == CheckOutcome.FAIL
assert scan._checks[4].outcome == CheckOutcome.FAIL
assert scan._checks[5].outcome == CheckOutcome.PASS
assert scan._checks[6].outcome == CheckOutcome.WARN
assert scan._checks[7].outcome == CheckOutcome.PASS
assert scan._checks[8].outcome == CheckOutcome.WARN
assert scan._checks[9].outcome == CheckOutcome.WARN
def test_schema_changes_warn_and_fail(data_source_fixture: DataSourceFixture):
table_name = data_source_fixture.ensure_test_table(customers_test_table)
data_source = data_source_fixture.data_source
# start from the historic measurement value
schema_metric_value_derived_from_test_table = derive_schema_metric_value_from_test_table(
customers_test_table, data_source
)
# remove the 4th column from the historic metric value
# this will result in schema check discovering a column being added
schema_metric_value_derived_from_test_table.pop(3)
scan = data_source_fixture.create_test_scan()
scan.mock_historic_values(
metric_identity=f"metric-{scan._scan_definition_name}-{data_source_fixture.data_source.data_source_name}-{table_name}-schema",
metric_values=[schema_metric_value_derived_from_test_table],
)
scan.add_sodacl_yaml_str(
f"""
checks for {table_name}:
- schema:
warn:
when schema changes:
- column add
fail:
when wrong column type:
id: integer
does_not_exist: integer
pct: varchar
"""
)
scan.execute()
assert scan._checks[0].outcome == CheckOutcome.FAIL
| 32.965066
| 134
| 0.645913
| 855
| 7,549
| 5.354386
| 0.115789
| 0.087374
| 0.081695
| 0.085408
| 0.901922
| 0.894932
| 0.848405
| 0.833989
| 0.824814
| 0.8128
| 0
| 0.004994
| 0.283746
| 7,549
| 228
| 135
| 33.109649
| 0.841687
| 0.049543
| 0
| 0.786458
| 0
| 0
| 0.401702
| 0.055532
| 0
| 0
| 0
| 0
| 0.114583
| 1
| 0.020833
| false
| 0.052083
| 0.026042
| 0
| 0.046875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
65b8702c31419523bd126762203982119ac51633
| 12,948
|
py
|
Python
|
mab/gd/simplefit.py
|
maartenbreddels/mab
|
112dcfbc4a74b07aff13d489b3776bca58fe9bdf
|
[
"MIT"
] | 1
|
2018-12-01T04:10:34.000Z
|
2018-12-01T04:10:34.000Z
|
mab/gd/simplefit.py
|
maartenbreddels/mab
|
112dcfbc4a74b07aff13d489b3776bca58fe9bdf
|
[
"MIT"
] | null | null | null |
mab/gd/simplefit.py
|
maartenbreddels/mab
|
112dcfbc4a74b07aff13d489b3776bca58fe9bdf
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import scipy.optimize
from numpy import *
import mab.gd.logging as logging
logger = logging.getLogger("gd.simplefit")
import emcee
from kaplot import *
#fitter = None
def lnprob(x, fitter):
print x, fitter
return fitter.logL(x)
class MCMCExplore(object):
def __init__(self, simplefit):
self.simplefit = simplefit
def run(self, *args):
self.simplefit.load()
stars = self.simplefit.observation.load()
self.re = stars.re
self.vlos = stars.vlos_helio
self.e_vlos = stars.e_vlos
self.N = len(self.re)
self.cats = stars.catalogue_mask.astype(int)
#print re.max()
#dsa
x0 = self.simplefit.x0
#print self.logL(*x0)
print len(x0)
ndim, nwalkers = len(x0), len(x0)*2
sigmas = [0.05, 0.05, 0.1, 5, 1, 5, 1]
def gen(x0):
return [x+random.normal(0, sigma) for x,sigma in zip(x0, sigmas)]
p0 = [gen(x0) for k in range(nwalkers)]
#print "p0", p0
sampler = emcee.EnsembleSampler(nwalkers, ndim, lnprob, args=[self])
#sampler.run_mcmc(p0, 1000)
sampler.run_mcmc(p0, 500)
#hist(sampler.flatchain[:,i], 100, color="k", histtype="step")
bs = 10**sampler.flatchain[:,2]
#dens = 10**sampler.flatchain[:,0]
print len(bs)
page(fontsize="16pt")
mozaic(1,1,box)
histogram(bs, bincount=50, datamin=0., datamax=1.)
print bs
#, dens
labels("b (kpc)", "N")
vline(0.3, color="red")
#vline(0.16, color="red")
#vline(0.38775660972067766, color="red") # sxt
#vline(0.7868, color="red") # fnx
if 0:
select(1, 0)
histogram(dens, bincount=50)
labels("mu0", "N")
select(0, 1)
scatter(bs, dens)
labels("b", "mu0")
draw()
def logL(self, x):
#print "X", x
#x = x[0]
#print x
self.simplefit.set_parameters(x)
logL = 0
for i in range(self.N):
#p = exp(self.galaxy_velocity_model.logL(vlos[i], e_vlos[i]))*w1 \
# + w2 * exp(self.foreground_velocity_model.logL(vlos[i], e_vlos[i]))
#print p
#if p == 0: import pdb; pdb.set_trace()
#logL += log(p )
logL1 = -inf
for j in range(2):
if (1<<j) & (self.cats[i]):
logL1 = max(logL1, self.simplefit.logL(self.re[i], self.vlos[i], self.e_vlos[i], j))
#logL += self.simplefit.logL(self.re[i], self.vlos[i], self.e_vlos[i])
logL += logL1
#print " ", logL, x
return logL
class SimpleFit(object):
def __init__(self, filename, light_profile, light_model, observation, galaxy_velocity_model, foreground_velocity_model, const_surface_density=1e-4, fit_light=False):
self.light_profile = light_profile
self.light_model = light_model
self.observation = observation
self.galaxy_velocity_model = galaxy_velocity_model
self.foreground_velocity_model = foreground_velocity_model
self.filename = filename
self.const_surface_density = const_surface_density
self.fit_light = fit_light
#self.const_surface_density = self.light_profile.densityR(2., M=1.)
def load(self):
self.x0 = parameters = load(self.filename)
logger.info("parameters: %s" % parameters)
self.set_parameters(parameters)
stars = self.observation.load()
re = stars.re
print re.max()
R = r = re.max()
if 0:
#print self.const_surface_density * self.w2 * r**2
R = self.light_model.arcsec_to_kpc(r)
I, err = scipy.integrate.quad(lambda r: 2*pi*r*self.light_profile.densityR(r, M=1.), 0, R)
print I, err
#self.const_surface_density = 0.35
re = stars.re
vlos = stars.vlos_helio
e_vlos = stars.e_vlos
N = len(re)
print re.max()
logL = 0
for i in range(N):
#p = exp(self.galaxy_velocity_model.logL(vlos[i], e_vlos[i]))*w1 \
# + w2 * exp(self.foreground_velocity_model.logL(vlos[i], e_vlos[i]))
#print p
#if p == 0: import pdb; pdb.set_trace()
#logL += log(p )
logL += self.logL(re[i], vlos[i], e_vlos[i])
print " ", logL
#dsa
def set_parameters(self, x):
#R = x[0]
self.const_surface_density = 10**(x[0])
if self.fit_light:
if hasattr(self.light_profile, "b"):
self.light_profile.b = 10**(x[1])
else:
self.light_profile.scale = 10**(x[1])
offset = 2
else:
offset = 1
n_params_galaxy = len(self.galaxy_velocity_model.parameters)
n_params_foreground = len(self.foreground_velocity_model.parameters)
for i in range(n_params_galaxy):
value = x[offset+i]
self.galaxy_velocity_model.parameters[i].set(value)
#print "set galaxy", self.galaxy_velocity_model.parameters[i].name, "to", value
for i in range(n_params_foreground):
value = x[offset+n_params_galaxy+i]
self.foreground_velocity_model.parameters[i].set(value)
#print "set foreground", self.foreground_velocity_model.parameters[i].name, "to", value
#r = abs(R)
#self.w1 = 1/(1+r)
#self.w2 = r/(1+r)
#assert abs((self.w2/self.w1)- r) < 1e-6
def save(self):
parameters = [log10(self.const_surface_density)]
if self.fit_light:
if hasattr(self.light_profile, "b"):
parameters.append(log10(self.light_profile.b))
else:
parameters.append(log10(self.light_profile.scale))
parameters += [k.get() for k in self.galaxy_velocity_model.parameters] + [k.get() for k in self.foreground_velocity_model.parameters]
parameters = array(parameters)
save(self.filename, parameters)
def logL(self, Re, vlos, e_vlos):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_density
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
#print w1, w2, ratio
p = exp(self.galaxy_velocity_model.logL(vlos, e_vlos))*w1 \
+exp(self.foreground_velocity_model.logL(vlos, e_vlos)) * w2
#p = exp(self.galaxy_velocity_model.logL(vlos, e_vlos))*self.w1 \
# + self.w2 * exp(self.foreground_velocity_model.logL(vlos, e_vlos))
return log(p)
def memberRe(self, Re, weight=1.):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_density * weight
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
return (w1)
def non_memberRe(self, Re, weight=1.):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_density * weight
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
return (w2)
#return self.const_surface_density * self.w2
def run(self, args, opts, scope):
stars = self.observation.load()
re = stars.re
vlos = stars.vlos_helio
e_vlos = stars.e_vlos
N = len(re)
print re.max()
#dsa
def f_and_g(x):
self.set_parameters(x)
logL = 0
for i in range(N):
#p = exp(self.galaxy_velocity_model.logL(vlos[i], e_vlos[i]))*w1 \
# + w2 * exp(self.foreground_velocity_model.logL(vlos[i], e_vlos[i]))
#print p
#if p == 0: import pdb; pdb.set_trace()
#logL += log(p )
logL += self.logL(re[i], vlos[i], e_vlos[i])
print " ", logL, x
return -logL
x0 = [log10(self.const_surface_density)]
if self.fit_light:
if hasattr(self.light_profile, "b"):
x0.append(log10(self.light_profile.b))
else:
x0.append(log10(self.light_profile.scale))
x0 += [k.get() for k in self.galaxy_velocity_model.parameters] + [k.get() for k in self.foreground_velocity_model.parameters]
bounds = [(0, 1)] + [(None,None)] * (len(x0)-1)
bounds = None
#x = scipy.optimize.fmin_l_bfgs_b(f_and_g, x0, None, bounds=bounds, approx_grad=True, iprint=-1,factr=1e-2,maxfun=200000)[0]
x = scipy.optimize.fmin_l_bfgs_b(f_and_g, x0, None, bounds=bounds, approx_grad=True, iprint=-1,factr=1e-2,maxfun=200000)[0]
print x
self.set_parameters(x)
self.save()
class SimpleMultiFit(object):
def __init__(self, filename, light_profile, light_model, observation, galaxy_velocity_model, foreground_velocity_model, const_surface_density=1e-4, fit_light=False):
self.light_profile = light_profile
self.light_model = light_model
self.observation = observation
self.galaxy_velocity_model = galaxy_velocity_model
self.foreground_velocity_model = foreground_velocity_model
self.filename = filename
self.const_surface_density = const_surface_density
self.fit_light = fit_light
self.catalogues = 2
#self.const_surface_density = self.light_profile.densityR(2., M=1.)
def load(self):
self.x0 = parameters = load(self.filename)
logger.info("parameters: %s" % parameters)
self.set_parameters(parameters)
def set_parameters(self, x):
#self.const_surface_density = 10**(x[0])
self.const_surface_densities = [10**k for k in x[0:self.catalogues]]
x = x[self.catalogues:]
if self.fit_light:
if hasattr(self.light_profile, "b"):
self.light_profile.b = 10**(x[0])
else:
self.light_profile.scale = 10**(x[0])
x = x[1:]
else:
pass
n_params_galaxy = len(self.galaxy_velocity_model.parameters)
n_params_foreground = len(self.foreground_velocity_model.parameters)
for i in range(n_params_galaxy):
value = x[i]
self.galaxy_velocity_model.parameters[i].set(value)
#print "set galaxy", self.galaxy_velocity_model.parameters[i].name, "to", value
for i in range(n_params_foreground):
value = x[n_params_galaxy+i]
self.foreground_velocity_model.parameters[i].set(value)
#print "set foreground", self.foreground_velocity_model.parameters[i].name, "to", value
#r = abs(R)
#self.w1 = 1/(1+r)
#self.w2 = r/(1+r)
#assert abs((self.w2/self.w1)- r) < 1e-6
def save(self):
parameters = [log10(k) for k in self.const_surface_densities]
if self.fit_light:
if hasattr(self.light_profile, "b"):
parameters.append(log10(self.light_profile.b))
else:
parameters.append(log10(self.light_profile.scale))
parameters += [k.get() for k in self.galaxy_velocity_model.parameters] + [k.get() for k in self.foreground_velocity_model.parameters]
parameters = array(parameters)
save(self.filename, parameters)
def logL(self, Re, vlos, e_vlos, catalogue):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_densities[catalogue]
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
#print w1, w2, ratio
p = exp(self.galaxy_velocity_model.logL(vlos, e_vlos))*w1 \
+exp(self.foreground_velocity_model.logL(vlos, e_vlos)) * w2
#p = exp(self.galaxy_velocity_model.logL(vlos, e_vlos))*self.w1 \
# + self.w2 * exp(self.foreground_velocity_model.logL(vlos, e_vlos))
return log(p)
def memberRetot(self, Re, mask):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = mean([self.light_profile.densityR(Re, M=1.) for i in range(2) if ((1<<i)&int(mask))]) / mean([self.const_surface_densities[i] for i in range(2) if ((1<<i)&int(mask))])
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
return (w1)
def memberRe(self, Re, catalogue=0, weight=1.):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_densities[catalogue] * weight
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
return (w1)
def non_memberRe(self, Re, catalogue=0, weight=1.):
Re = self.light_model.arcsec_to_kpc(Re)
ratio = self.light_profile.densityR(Re, M=1.)/self.const_surface_densities[catalogue] * weight
w1 = ratio/(1+ratio)
w2 = 1/(1+ratio)
return (w2)
#return self.const_surface_density * self.w2
def run(self, args, opts, scope):
stars = self.observation.load()
star_groups = [stars.filter(lambda star: (int(star.catalogue_mask) & (1<<i)) != 0) for i in range(self.catalogues)]
for i in range(self.catalogues):
print "length", len(star_groups[i])
print self.catalogues
re = stars.re
vlos = stars.vlos_helio
e_vlos = stars.e_vlos
N = len(re)
cats = stars.catalogue_mask.astype(int)
print re.max()
#dsa
def f_and_g(x):
self.set_parameters(x)
logL = 0
if 1:
#for i in range(self.catalogues):
# for star in star_groups[i]:
# logL += self.logL(star.re, star.vlos_helio, star.e_vlos, i)
#count1 = len(re)
#count2 = 0
for i in range(len(re)):
#logL1 = -inf
for j in range(2):
if (1<<j) & (cats[i]):
#logL1 = max(logL1, self.logL(re[i], vlos[i], e_vlos[i], j))
logL += self.logL(re[i], vlos[i], e_vlos[i], j)
#count2 += 1
#print j, cats[i]
#assert j == 0
#logL += logL1
#print count1, count2
else:
#for i in range(N):
# logL += self.logL(re[i], vlos[i], e_vlos[i], 0)
pass
print " ", logL, x
return -logL
x0 = [log10(self.const_surface_density) for i in range(self.catalogues)]
if self.fit_light:
if hasattr(self.light_profile, "b"):
x0.append(log10(self.light_profile.b))
else:
x0.append(log10(self.light_profile.scale))
x0 += [k.get() for k in self.galaxy_velocity_model.parameters] + [k.get() for k in self.foreground_velocity_model.parameters]
#bounds = [(0, 1)] + [(None,None)] * (len(x0)-1)
bounds = None
#x = scipy.optimize.fmin_l_bfgs_b(f_and_g, x0, None, bounds=bounds, approx_grad=True, iprint=-1,factr=1e-2,maxfun=200000)[0]
x = scipy.optimize.fmin_l_bfgs_b(f_and_g, x0, None, bounds=bounds, approx_grad=True, iprint=-1,factr=1e-2,maxfun=200000)[0]
print x
self.set_parameters(x)
self.save()
| 33.030612
| 177
| 0.679719
| 2,077
| 12,948
| 4.074145
| 0.093404
| 0.070669
| 0.056724
| 0.051643
| 0.80761
| 0.793429
| 0.777712
| 0.750886
| 0.750886
| 0.743323
| 0
| 0.032114
| 0.167902
| 12,948
| 391
| 178
| 33.11509
| 0.753295
| 0.216713
| 0
| 0.632959
| 0
| 0
| 0.008648
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.007491
| 0.018727
| null | null | 0.067416
| 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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| 0
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| null | 0
| 0
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| 0
|
0
| 7
|
65d19b1b004dbcf76666c6ac81d4f0762575accc
| 19,096
|
py
|
Python
|
src/serial-console/azext_serialconsole/tests/latest/test_serialconsole_scenario.py
|
snowei/azure-cli-extensions
|
0793492083bb92b93acce008865ffb013a2d1bc9
|
[
"MIT"
] | null | null | null |
src/serial-console/azext_serialconsole/tests/latest/test_serialconsole_scenario.py
|
snowei/azure-cli-extensions
|
0793492083bb92b93acce008865ffb013a2d1bc9
|
[
"MIT"
] | 1
|
2020-03-09T22:34:27.000Z
|
2020-03-09T22:34:27.000Z
|
src/serial-console/azext_serialconsole/tests/latest/test_serialconsole_scenario.py
|
snowei/azure-cli-extensions
|
0793492083bb92b93acce008865ffb013a2d1bc9
|
[
"MIT"
] | null | null | null |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import os
import json
import time
import requests
import websocket
import pytest
from azext_serialconsole.custom import check_resource
from azure.cli.testsdk.base import ScenarioTest
from azure.cli.testsdk import (
LiveScenarioTest, StorageAccountPreparer, ResourceGroupPreparer)
from azure.cli.testsdk.exceptions import JMESPathCheckAssertionError
from azure.cli.core.azclierror import ForbiddenError, ResourceNotFoundError
from azure.cli.core.azclierror import AzureConnectionError
from azure.cli.core.azclierror import ForbiddenError
from azure.core.exceptions import ResourceNotFoundError as ComputeClientResourceNotFoundError
TEST_DIR = os.path.abspath(os.path.join(os.path.abspath(__file__), '..'))
class CheckResourceTest(ScenarioTest):
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_check_resource_VMSS(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
with self.assertRaises(ComputeClientResourceNotFoundError):
check_resource(self.cli_ctx, resource_group, name, None)
with self.assertRaises(ComputeClientResourceNotFoundError):
check_resource(self.cli_ctx, resource_group, name, "0")
self.cmd('az vmss create -g {rg} -n {name} --image {urn} --instance-count 2 -l {loc}')
with self.assertRaises(ResourceNotFoundError):
check_resource(self.cli_ctx, resource_group, name, None)
iid = self.cmd('vmss list-instances --resource-group {rg} --name {name} --query "[].instanceId"').get_output_in_json()[1]
self.kwargs.update({'id': iid})
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\" : null}}}}"')
self.cmd('az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss deallocate -g {rg} -n {name} --instance-ids {id}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss start -g {rg} -n {name} --instance-ids {id}')
self.cmd('az vmss stop -g {rg} -n {name} --instance-ids {id}')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss start -g {rg} -n {name} --instance-ids {id}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\":\\"https://{sa}.blob.core.windows.net/\\"}}}}"')
self.cmd('az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az serial-console disable')
with self.assertRaises(ForbiddenError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az serial-console enable')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss deallocate -g {rg} -n {name} --instance-ids {id}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss start -g {rg} -n {name} --instance-ids {id}')
self.cmd('az vmss stop -g {rg} -n {name} --instance-ids {id}')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss start -g {rg} -n {name} --instance-ids {id}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"False\\",\\"StorageUri\\" : null}}}}"')
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss deallocate -g {rg} -n {name} --instance-ids {id}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss start -g {rg} -n {name} --instance-ids {id}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\" : null}}}}"')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, iid)
self.cmd('az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
check_resource(self.cli_ctx, resource_group, name, iid)
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_check_resource_VM(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
with self.assertRaises(ComputeClientResourceNotFoundError):
check_resource(self.cli_ctx, resource_group, name, None)
with self.assertRaises(ComputeClientResourceNotFoundError):
check_resource(self.cli_ctx, resource_group, name, "0")
self.cmd('az vm create -g {rg} -n {name} --image {urn} -l {loc} --generate-ssh-keys')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm boot-diagnostics enable -g {rg} -n {name}')
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm deallocate -g {rg} -n {name}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm start -g {rg} -n {name}')
self.cmd('az vm stop -g {rg} -n {name}')
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm boot-diagnostics disable -g {rg} -n {name}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm start -g {rg} -n {name}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm boot-diagnostics enable -g {rg} -n {name} --storage {sa}')
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az serial-console disable')
with self.assertRaises(ForbiddenError):
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az serial-console enable')
check_resource(self.cli_ctx, resource_group, name, None)
self.cmd('az vm deallocate -g {rg} -n {name}')
with self.assertRaises(AzureConnectionError):
check_resource(self.cli_ctx, resource_group, name, None)
class SerialConsoleEnableDisableTest(ScenarioTest):
def test_enable_disable(self):
self.cmd('az serial-console disable', checks=[
self.check('properties.disabled', 'True')
])
self.cmd('az serial-console enable', checks=[
self.check('properties.disabled', 'False')
])
class SerialconsoleAdminCommandsTest(LiveScenarioTest):
def check_result(self, resource_group_name, vm_vmss_name, vmss_instanceid=None, message=""):
ARM_ENDPOINT = "https://management.azure.com"
RP_PROVIDER = "Microsoft.SerialConsole"
subscription_id = self.get_subscription_id()
vm_path = f"virtualMachineScaleSets/{vm_vmss_name}/virtualMachines/{vmss_instanceid}" \
if vmss_instanceid else f"virtualMachines/{vm_vmss_name}"
connection_url = (f"{ARM_ENDPOINT}/subscriptions/{subscription_id}/resourcegroups/{resource_group_name}"
f"/providers/Microsoft.Compute/{vm_path}"
f"/providers/{RP_PROVIDER}/serialPorts/0"
f"/connect?api-version=2018-05-01")
from azure.cli.core._profile import Profile
token_info, _, _ = Profile().get_raw_token()
access_token = token_info[1]
application_json_format = "application/json"
headers = {'authorization': "Bearer " + access_token,
'accept': application_json_format,
'content-type': application_json_format}
result = requests.post(connection_url, headers=headers)
json_results = json.loads(result.text)
self.assertTrue(result.status_code ==
200 and "connectionString" in json_results)
websocket_url = json_results["connectionString"]
ws = websocket.WebSocket()
ws.connect(websocket_url + "?authorization=" + access_token, timeout=30)
buffer = ""
while True:
try:
buffer += ws.recv()
except (websocket.WebSocketTimeoutException, websocket.WebSocketConnectionClosedException):
break
assert message in buffer
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_sysrq_VMSS(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vmss create -g {rg} -n {name} --image {urn} --instance-count 2 -l {loc}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\":\\"https://{sa}.blob.core.windows.net/\\"}}}}"')
result = self.cmd(
'vmss list-instances --resource-group {rg} --name {name} --query "[].instanceId"').get_output_in_json()
self.kwargs.update({'id': result[1]})
self.cmd(
'az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
time.sleep(60)
for i in range(5):
try:
self.cmd('vmss get-instance-view --resource-group {rg} --name {name} --instance-id {id}', checks=[
self.check('statuses[0].code',
'ProvisioningState/succeeded'),
self.check('statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd(
'serial-console send sysrq -g {rg} -n {name} --instance-id {id} --input h')
self.check_result(resource_group, name,
vmss_instanceid=result[1], message="sysrq: HELP")
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_nmi_VMSS(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vmss create -g {rg} -n {name} --image {urn} --instance-count 2 -l {loc}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\":\\"https://{sa}.blob.core.windows.net/\\"}}}}"')
result = self.cmd(
'vmss list-instances --resource-group {rg} --name {name} --query "[].instanceId"').get_output_in_json()
self.kwargs.update({'id': result[1]})
self.cmd(
'az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
time.sleep(60)
for i in range(5):
try:
self.cmd('vmss get-instance-view --resource-group {rg} --name {name} --instance-id {id}', checks=[
self.check('statuses[0].code',
'ProvisioningState/succeeded'),
self.check('statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd(
'serial-console send nmi -g {rg} -n {name} --instance-id {id}')
self.check_result(resource_group, name,
vmss_instanceid=result[1], message="NMI received")
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_reset_VMSS(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vmss create -g {rg} -n {name} --image {urn} --instance-count 2 -l {loc}')
self.cmd('az vmss update --name {name} --resource-group {rg} --set virtualMachineProfile.diagnosticsProfile="{{\\"bootDiagnostics\\": {{\\"Enabled\\" : \\"True\\",\\"StorageUri\\":\\"https://{sa}.blob.core.windows.net/\\"}}}}"')
result = self.cmd(
'vmss list-instances --resource-group {rg} --name {name} --query "[].instanceId"').get_output_in_json()
self.kwargs.update({'id': result[1]})
self.cmd(
'az vmss update-instances -g {rg} -n {name} --instance-ids {id}')
time.sleep(60)
for i in range(5):
try:
self.cmd('vmss get-instance-view --resource-group {rg} --name {name} --instance-id {id}', checks=[
self.check('statuses[0].code',
'ProvisioningState/succeeded'),
self.check('statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd('serial-console send reset -g {rg} -n {name} --instance-id {id}')
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_nmi_VM(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vm create -g {rg} -n {name} --image {urn} --boot-diagnostics-storage {sa} -l {loc} --generate-ssh-keys')
time.sleep(60)
for i in range(5):
try:
self.cmd('vm get-instance-view --resource-group {rg} --name {name}', checks=[
self.check(
'instanceView.statuses[0].code', 'ProvisioningState/succeeded'),
self.check(
'instanceView.statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd('serial-console send nmi -g {rg} -n {name}')
self.check_result(resource_group, name, message="NMI received")
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_sysrq_VM(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vm create -g {rg} -n {name} --image {urn} --boot-diagnostics-storage {sa} -l {loc} --generate-ssh-keys')
time.sleep(60)
for i in range(5):
try:
self.cmd('vm get-instance-view --resource-group {rg} --name {name}', checks=[
self.check(
'instanceView.statuses[0].code', 'ProvisioningState/succeeded'),
self.check(
'instanceView.statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd('serial-console send sysrq -g {rg} -n {name} --input h')
self.check_result(resource_group, name, message="sysrq: HELP")
@ResourceGroupPreparer(name_prefix='cli_test_serialconsole', location='westus2')
@StorageAccountPreparer(name_prefix='cli', location="westus2")
def test_send_reset_VM(self, resource_group, storage_account):
name = self.create_random_name(prefix='cli', length=24)
self.kwargs.update({
'sa': storage_account,
'rg': resource_group,
'name': name,
'urn': 'UbuntuLTS',
'loc': 'westus2'
})
self.cmd(
'az vm create -g {rg} -n {name} --image {urn} --boot-diagnostics-storage {sa} -l {loc} --generate-ssh-keys')
time.sleep(60)
for i in range(5):
try:
self.cmd('vm get-instance-view --resource-group {rg} --name {name}', checks=[
self.check(
'instanceView.statuses[0].code', 'ProvisioningState/succeeded'),
self.check(
'instanceView.statuses[1].code', 'PowerState/running'),
])
break
except JMESPathCheckAssertionError:
time.sleep(30)
self.cmd('serial-console send reset -g {rg} -n {name}')
| 46.349515
| 236
| 0.600021
| 2,093
| 19,096
| 5.346871
| 0.102723
| 0.07783
| 0.036994
| 0.02788
| 0.826914
| 0.818604
| 0.810383
| 0.796086
| 0.792154
| 0.788223
| 0
| 0.007595
| 0.248481
| 19,096
| 411
| 237
| 46.462287
| 0.772211
| 0.017595
| 0
| 0.759644
| 0
| 0.097923
| 0.331538
| 0.077259
| 0
| 0
| 0
| 0
| 0.077151
| 1
| 0.029674
| false
| 0
| 0.04451
| 0
| 0.083086
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
02b46f7b6db5c12dd912ba128b9de4d9a7a22faa
| 148
|
py
|
Python
|
Toolkits/VCS/mygulamali__repo-mine/mine/models/__init__.py
|
roscopecoltran/SniperKit-Core
|
4600dffe1cddff438b948b6c22f586d052971e04
|
[
"MIT"
] | null | null | null |
Toolkits/VCS/mygulamali__repo-mine/mine/models/__init__.py
|
roscopecoltran/SniperKit-Core
|
4600dffe1cddff438b948b6c22f586d052971e04
|
[
"MIT"
] | null | null | null |
Toolkits/VCS/mygulamali__repo-mine/mine/models/__init__.py
|
roscopecoltran/SniperKit-Core
|
4600dffe1cddff438b948b6c22f586d052971e04
|
[
"MIT"
] | null | null | null |
from mine.models.base import Base
from mine.models.commit import Commit
from mine.models.repo import Repo
from mine.models.language import Language
| 29.6
| 41
| 0.837838
| 24
| 148
| 5.166667
| 0.333333
| 0.258065
| 0.451613
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 148
| 4
| 42
| 37
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
02bbda28f591a40c24a1c6c477acfbe85ef46c1b
| 151
|
py
|
Python
|
models/__init__.py
|
weihaosky/SMVmatching
|
814d00530026278f3582df3849ead46b3479cc57
|
[
"MIT"
] | 2
|
2021-08-06T03:39:11.000Z
|
2021-08-09T06:32:18.000Z
|
models/__init__.py
|
weihaosky/SMVmatching
|
814d00530026278f3582df3849ead46b3479cc57
|
[
"MIT"
] | null | null | null |
models/__init__.py
|
weihaosky/SMVmatching
|
814d00530026278f3582df3849ead46b3479cc57
|
[
"MIT"
] | 1
|
2021-11-15T02:27:32.000Z
|
2021-11-15T02:27:32.000Z
|
from .basic import PSMNet as basic
from .stackhourglass import PSMNet as stackhourglass
from .stackhourglass_prob import PSMNet as stackhourglass_prob
| 37.75
| 62
| 0.860927
| 20
| 151
| 6.4
| 0.35
| 0.28125
| 0.328125
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119205
| 151
| 3
| 63
| 50.333333
| 0.962406
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
02c5077b37fa45b43b4824f7d4a034dc239edac5
| 3,263
|
py
|
Python
|
tests/dataset_tests/test_datalayer.py
|
jinniuai/qlib
|
dc14868ae6f4694f4929b6eb6a36bb8cae703a08
|
[
"MIT"
] | null | null | null |
tests/dataset_tests/test_datalayer.py
|
jinniuai/qlib
|
dc14868ae6f4694f4929b6eb6a36bb8cae703a08
|
[
"MIT"
] | null | null | null |
tests/dataset_tests/test_datalayer.py
|
jinniuai/qlib
|
dc14868ae6f4694f4929b6eb6a36bb8cae703a08
|
[
"MIT"
] | null | null | null |
import unittest
import numpy as np
from qlib.data import D
from qlib.tests import TestAutoData
class TestDataset(TestAutoData):
def testCSI300(self):
close_p = D.features(D.instruments("csi300"), ["$close"])
size = close_p.groupby("datetime").size()
cnt = close_p.groupby("datetime").count()["$close"]
size_desc = size.describe(percentiles=np.arange(0.1, 1.0, 0.1))
cnt_desc = cnt.describe(percentiles=np.arange(0.1, 1.0, 0.1))
print(size_desc)
print(cnt_desc)
self.assertLessEqual(size_desc.loc["max"], 305, "Excessive number of CSI300 constituent stocks")
self.assertGreaterEqual(size_desc.loc["80%"], 290, "Insufficient number of CSI300 constituent stocks")
self.assertLessEqual(cnt_desc.loc["max"], 305, "Excessive number of CSI300 constituent stocks")
# FIXME: Due to the low quality of data. Hard to make sure there are enough data
# self.assertEqual(cnt_desc.loc["80%"], 300, "Insufficient number of CSI300 constituent stocks")
def testClose(self):
close_p = D.features(D.instruments("csi300"), ["Ref($close, 1)/$close - 1"])
close_desc = close_p.describe(percentiles=np.arange(0.1, 1.0, 0.1))
print(close_desc)
self.assertLessEqual(abs(close_desc.loc["90%"][0]), 0.1, "Close value is abnormal")
self.assertLessEqual(abs(close_desc.loc["10%"][0]), 0.1, "Close value is abnormal")
# FIXME: The yahoo data is not perfect. We have to
# self.assertLessEqual(abs(close_desc.loc["max"][0]), 0.2, "Close value is abnormal")
# self.assertGreaterEqual(close_desc.loc["min"][0], -0.2, "Close value is abnormal")
def testJinniuai(self):
close_p = D.features(D.instruments("csi300"), ["$close"])
size = close_p.groupby("datetime").size()
cnt = close_p.groupby("datetime").count()["$close"]
size_desc = size.describe(percentiles=np.arange(0.1, 1.0, 0.1))
cnt_desc = cnt.describe(percentiles=np.arange(0.1, 1.0, 0.1))
print(size_desc)
print(cnt_desc)
self.assertLessEqual(size_desc.loc["max"], 305, "Excessive number of CSI300 constituent stocks")
self.assertGreaterEqual(size_desc.loc["80%"], 290, "Insufficient number of CSI300 constituent stocks")
self.assertLessEqual(cnt_desc.loc["max"], 305, "Excessive number of CSI300 constituent stocks")
# FIXME: Due to the low quality of data. Hard to make sure there are enough data
# self.assertEqual(cnt_desc.loc["80%"], 300, "Insufficient number of CSI300 constituent stocks")
close_p = D.features(D.instruments("csi300"), ["Ref($close, 1)/$close - 1"])
close_desc = close_p.describe(percentiles=np.arange(0.1, 1.0, 0.1))
print(close_desc)
self.assertLessEqual(abs(close_desc.loc["90%"][0]), 0.1, "Close value is abnormal")
self.assertLessEqual(abs(close_desc.loc["10%"][0]), 0.1, "Close value is abnormal")
# FIXME: The yahoo data is not perfect. We have to
# self.assertLessEqual(abs(close_desc.loc["max"][0]), 0.2, "Close value is abnormal")
# self.assertGreaterEqual(close_desc.loc["min"][0], -0.2, "Close value is abnormal")
if __name__ == "__main__":
unittest.main()
| 50.984375
| 110
| 0.661048
| 463
| 3,263
| 4.559395
| 0.170626
| 0.015159
| 0.014211
| 0.094742
| 0.919943
| 0.919943
| 0.919943
| 0.919943
| 0.918048
| 0.918048
| 0
| 0.054105
| 0.190009
| 3,263
| 63
| 111
| 51.793651
| 0.744608
| 0.238737
| 0
| 0.75
| 0
| 0
| 0.216741
| 0
| 0
| 0
| 0
| 0.015873
| 0.25
| 1
| 0.075
| false
| 0
| 0.1
| 0
| 0.2
| 0.15
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f3045b138df80a36ad75268f3377d2f521abd8c1
| 7,165
|
py
|
Python
|
posthog/models/filters/mixins/test/test_property.py
|
ld-rale/posthog
|
0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810
|
[
"MIT"
] | null | null | null |
posthog/models/filters/mixins/test/test_property.py
|
ld-rale/posthog
|
0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810
|
[
"MIT"
] | null | null | null |
posthog/models/filters/mixins/test/test_property.py
|
ld-rale/posthog
|
0fa5b18b2e940cf5cdbe8afc733eb7e3cd4ae810
|
[
"MIT"
] | null | null | null |
import json
import pytest
from rest_framework.exceptions import ValidationError
from posthog.models import Filter
from posthog.models.property import Property, PropertyGroup
def test_property_group_multi_level_parsing():
filter = Filter(
data={
"properties": {
"type": "AND",
"values": [
{
"type": "AND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],
},
{"type": "OR", "values": [{"key": "attr", "value": "val_2"}]},
],
}
}
)
assert filter.property_groups.type == "AND"
assert isinstance(filter.property_groups.values[0], PropertyGroup)
assert filter.property_groups.values[0].type == "AND"
assert isinstance(filter.property_groups.values[0].values[0], Property)
assert filter.property_groups.values[0].values[0].key == "attr"
assert filter.property_groups.values[0].values[0].value == "val_1"
assert isinstance(filter.property_groups.values[0].values[1], Property)
assert filter.property_groups.values[0].values[1].key == "attr_2"
assert filter.property_groups.values[0].values[1].value == "val_2"
assert isinstance(filter.property_groups.values[1], PropertyGroup)
assert filter.property_groups.values[1].type == "OR"
assert isinstance(filter.property_groups.values[1].values[0], Property)
assert filter.property_groups.values[1].values[0].key == "attr"
assert filter.property_groups.values[1].values[0].value == "val_2"
def test_property_group_simple_parsing():
filter = Filter(
data={
"properties": {
"type": "AND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],
}
}
)
assert filter.property_groups.type == "AND"
assert isinstance(filter.property_groups.values[0], Property)
assert filter.property_groups.values[0].key == "attr"
assert filter.property_groups.values[0].value == "val_1"
assert isinstance(filter.property_groups.values[1], Property)
assert filter.property_groups.values[1].key == "attr_2"
assert filter.property_groups.values[1].value == "val_2"
def test_property_group_empty_parsing():
filter = Filter(data={"properties": {}})
assert filter.property_groups.type == "AND"
assert filter.property_groups.values == []
def test_property_group_invalid_parsing():
filter = Filter(
data={
"properties": {
"type": "XaND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"},],
}
}
)
with pytest.raises(ValidationError):
filter.property_groups
def test_property_group_includes_unhomogenous_groups():
filter = Filter(
data={
"properties": {
"type": "AND",
"values": [
{"type": "or", "values": [{"key": "attr", "value": "val_1"}]},
{"key": "attr", "value": "val_1"},
{"key": "attr_2", "value": "val_2"},
{"type": "OR", "values": []},
],
}
}
)
with pytest.raises(ValidationError):
filter.property_groups
def test_property_multi_level_to_dict():
filter = Filter(
data={
"properties": {
"type": "AND",
"values": [
{
"type": "AND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],
},
{"type": "OR", "values": [{"key": "attr", "value": "val_2"}]},
],
}
}
)
assert filter.property_groups.to_dict() == {
"type": "AND",
"values": [
{
"type": "AND",
"values": [
{"key": "attr", "value": "val_1", "operator": None, "type": "event"},
{"key": "attr_2", "value": "val_2", "operator": None, "type": "event"},
],
},
{"type": "OR", "values": [{"key": "attr", "value": "val_2", "operator": None, "type": "event"}]},
],
}
def test_property_group_simple_to_dict():
filter = Filter(
data={
"properties": {
"type": "AND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],
}
}
)
assert filter.property_groups.to_dict() == {
"type": "AND",
"values": [
{"key": "attr", "value": "val_1", "operator": None, "type": "event"},
{"key": "attr_2", "value": "val_2", "operator": None, "type": "event"},
],
}
def test_property_group_simple_json_parsing():
filter = Filter(
data={
"properties": json.dumps(
{"type": "AND", "values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],}
)
}
)
assert filter.property_groups.type == "AND"
assert isinstance(filter.property_groups.values[0], Property)
assert filter.property_groups.values[0].key == "attr"
assert filter.property_groups.values[0].value == "val_1"
assert isinstance(filter.property_groups.values[1], Property)
assert filter.property_groups.values[1].key == "attr_2"
assert filter.property_groups.values[1].value == "val_2"
def test_property_group_multi_level_json_parsing():
filter = Filter(
data={
"properties": json.dumps(
{
"type": "AND",
"values": [
{
"type": "AND",
"values": [{"key": "attr", "value": "val_1"}, {"key": "attr_2", "value": "val_2"}],
},
{"type": "OR", "values": [{"key": "attr", "value": "val_2"}]},
],
}
)
}
)
assert filter.property_groups.type == "AND"
assert isinstance(filter.property_groups.values[0], PropertyGroup)
assert filter.property_groups.values[0].type == "AND"
assert isinstance(filter.property_groups.values[0].values[0], Property)
assert filter.property_groups.values[0].values[0].key == "attr"
assert filter.property_groups.values[0].values[0].value == "val_1"
assert isinstance(filter.property_groups.values[0].values[1], Property)
assert filter.property_groups.values[0].values[1].key == "attr_2"
assert filter.property_groups.values[0].values[1].value == "val_2"
assert isinstance(filter.property_groups.values[1], PropertyGroup)
assert filter.property_groups.values[1].type == "OR"
assert isinstance(filter.property_groups.values[1].values[0], Property)
assert filter.property_groups.values[1].values[0].key == "attr"
assert filter.property_groups.values[1].values[0].value == "val_2"
| 34.613527
| 116
| 0.536497
| 753
| 7,165
| 4.915007
| 0.065073
| 0.181573
| 0.259389
| 0.27398
| 0.938395
| 0.920832
| 0.900027
| 0.883545
| 0.857066
| 0.853823
| 0
| 0.020735
| 0.293231
| 7,165
| 206
| 117
| 34.781553
| 0.710111
| 0
| 0
| 0.649123
| 0
| 0
| 0.139288
| 0
| 0
| 0
| 0
| 0
| 0.269006
| 1
| 0.052632
| false
| 0
| 0.02924
| 0
| 0.081871
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f3070dc6fd0695dd87b2a05adb23cca745699535
| 518
|
py
|
Python
|
startup/scripts/sandbox.py
|
NSLS-II-ISS/profile_collection
|
77e5567fa8c5b3dfb249174ce951279899b2c917
|
[
"BSD-3-Clause"
] | null | null | null |
startup/scripts/sandbox.py
|
NSLS-II-ISS/profile_collection
|
77e5567fa8c5b3dfb249174ce951279899b2c917
|
[
"BSD-3-Clause"
] | 22
|
2017-08-16T18:50:44.000Z
|
2021-11-10T21:11:03.000Z
|
startup/scripts/sandbox.py
|
NSLS-II-ISS/profile_collection
|
77e5567fa8c5b3dfb249174ce951279899b2c917
|
[
"BSD-3-Clause"
] | 8
|
2016-04-01T19:46:06.000Z
|
2022-01-07T20:04:42.000Z
|
def master_plan():
yield from bps.mvr(giantxy.x,x_range/2)
yield from bps.mvr(giantxy.y,y_range/2)
for _ in range(6):
yield from bps.mvr(giantxy.x,-x_range)
yield from bps.mvr(giantxy.y,-1)
yield from bps.mvr(giantxy.x,+x_range)
yield from bps.mvr(giantxy.y,-1)
yield from bps.mvr(giantxy.x,-x_range)
yield from bps.mvr(giantxy.y,-1)
yield from bps.mvr(giantxy.x,+x_range)
yield from bps.mvr(giantxy.x,-x_range/2)
yield from bps.mvr(giantxy.y,y_range/2)
| 37
| 46
| 0.660232
| 96
| 518
| 3.458333
| 0.166667
| 0.298193
| 0.39759
| 0.496988
| 0.927711
| 0.927711
| 0.927711
| 0.927711
| 0.927711
| 0.927711
| 0
| 0.019277
| 0.198842
| 518
| 13
| 47
| 39.846154
| 0.780723
| 0
| 0
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
b83f1d5e5656e1589a4da7857a85240be0d57150
| 1,004
|
py
|
Python
|
momiji/reusables/get_member_helpers.py
|
Kyuunex/Momiji
|
a320bb901015737e4bd57c9da9a997d256689448
|
[
"MIT"
] | 16
|
2019-02-12T17:16:03.000Z
|
2021-07-16T05:36:06.000Z
|
momiji/reusables/get_member_helpers.py
|
Kyuunex/Momiji
|
a320bb901015737e4bd57c9da9a997d256689448
|
[
"MIT"
] | null | null | null |
momiji/reusables/get_member_helpers.py
|
Kyuunex/Momiji
|
a320bb901015737e4bd57c9da9a997d256689448
|
[
"MIT"
] | 5
|
2019-12-07T10:34:36.000Z
|
2021-03-05T12:21:53.000Z
|
def get_member_guaranteed(ctx, lookup):
if len(ctx.message.mentions) > 0:
return ctx.message.mentions[0]
if lookup.isdigit():
result = ctx.guild.get_member(int(lookup))
if result:
return result
if "#" in lookup:
result = ctx.guild.get_member_named(lookup)
if result:
return result
for member in ctx.guild.members:
if member.display_name.lower() == lookup.lower():
return member
return None
def get_member_guaranteed_custom_guild(ctx, guild, lookup):
if len(ctx.message.mentions) > 0:
return ctx.message.mentions[0]
if lookup.isdigit():
result = guild.get_member(int(lookup))
if result:
return result
if "#" in lookup:
result = guild.get_member_named(lookup)
if result:
return result
for member in guild.members:
if member.display_name.lower() == lookup.lower():
return member
return None
| 25.74359
| 59
| 0.606574
| 124
| 1,004
| 4.798387
| 0.201613
| 0.090756
| 0.121008
| 0.127731
| 0.884034
| 0.87395
| 0.87395
| 0.87395
| 0.87395
| 0.87395
| 0
| 0.005674
| 0.297809
| 1,004
| 38
| 60
| 26.421053
| 0.838298
| 0
| 0
| 0.733333
| 0
| 0
| 0.001992
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b85ada9091a5c2eb197a08b5c24f93aa36c1fcd1
| 100
|
py
|
Python
|
daily_interesting/testing.py
|
benstreb/daily-interesting
|
bac71fa54a1eb4e139d38af4e22fe38a69fee2cb
|
[
"MIT"
] | null | null | null |
daily_interesting/testing.py
|
benstreb/daily-interesting
|
bac71fa54a1eb4e139d38af4e22fe38a69fee2cb
|
[
"MIT"
] | null | null | null |
daily_interesting/testing.py
|
benstreb/daily-interesting
|
bac71fa54a1eb4e139d38af4e22fe38a69fee2cb
|
[
"MIT"
] | null | null | null |
from bs4 import BeautifulSoup
def parse_html(html):
return BeautifulSoup(html, "html.parser")
| 16.666667
| 45
| 0.76
| 13
| 100
| 5.769231
| 0.692308
| 0.213333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011765
| 0.15
| 100
| 5
| 46
| 20
| 0.870588
| 0
| 0
| 0
| 0
| 0
| 0.11
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
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