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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
63a54c04074aa85fa14a03e36636888bc26e51d4
| 8,543
|
py
|
Python
|
test/test_parser.py
|
omnidan/python-latex
|
908cdaf7ada05ce0231f8f0da30ac55d3f6d4e8f
|
[
"BSD-3-Clause"
] | 7
|
2015-10-26T16:06:59.000Z
|
2021-05-30T04:45:46.000Z
|
test/test_parser.py
|
omnidan/python-latex
|
908cdaf7ada05ce0231f8f0da30ac55d3f6d4e8f
|
[
"BSD-3-Clause"
] | null | null | null |
test/test_parser.py
|
omnidan/python-latex
|
908cdaf7ada05ce0231f8f0da30ac55d3f6d4e8f
|
[
"BSD-3-Clause"
] | 4
|
2015-10-28T15:32:28.000Z
|
2017-02-18T19:31:24.000Z
|
from latex import LatexParser
class TestLatexParser:
def test_parser(self):
self.parser = LatexParser(self.document)
assert self.parser.getResult().getDocument() == r"""\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% testtesttesttest
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortorgravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibustincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibussemper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nullapharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapienodio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
def test_parser_keep_empty_lines(self):
self.parser = LatexParser(self.document, keep_empty_lines=True)
assert self.parser.getResult().getDocument() == r"""
\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% testtesttesttest
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortorgravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibustincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibussemper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nullapharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapienodio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
def test_parser_do_not_concat_text(self):
self.parser = LatexParser(self.document, do_not_concat_text=True)
assert self.parser.getResult().getDocument() == r"""\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% test
% test
% test
% test
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortor
gravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibus
tincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibus
semper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.
Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nulla
pharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,
et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapien
odio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
def test_parser_do_not_concat_and_empty_lines(self):
self.parser = LatexParser(self.document, keep_empty_lines=True, do_not_concat_text=True)
assert self.parser.getResult().getDocument() == r"""
\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% test
% test
% test
% test
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortor
gravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibus
tincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibus
semper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.
Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nulla
pharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,
et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapien
odio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
def test_parser_with_prefixes(self):
self.parser = LatexParser(self.document, do_not_concat_text=True)
assert self.parser.getResult().getDocument(no_prefix=False) == r"""\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% test
% test
% test
% test
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortor
gravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibus
tincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibus
semper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.
Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nulla
pharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,
et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapien
odio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
def test_parser_do_not_beautify(self):
self.parser = LatexParser(self.document, keep_empty_lines=True, do_not_concat_text=True)
assert self.parser.getResult().getDocument(no_prefix=False) == self.document
def __init__(self):
self.document = r"""
\documentclass[11pt,a4paper,oneside]{report}
\usepackage{pslatex,palatino,avant,graphicx,color}
\usepackage[margin=2cm]{geometry}
% test
% test
% test
% test
\begin{document}
\title{\color{red}Practical Typesetting}
\author{\color{blue}Name}
\date{\color{green}December 2005}
\maketitle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam dapibus consectetur tellus. Duis vehicula, tortor
gravida sollicitudin eleifend, erat eros feugiat nisl, eget ultricies risus magna ac leo. Ut est diam, faucibus
tincidunt ultrices sit amet, congue sed tellus. Donec vel tellus vitae sem mattis congue. Suspendisse faucibus
semper faucibus. Curabitur congue est arcu, nec sollicitudin odio blandit at. Nullam tempus vulputate aliquam.
Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis tempus ligula eu nulla
pharetra eleifend. Pellentesque eget nisi gravida, faucibus justo ac, volutpat elit. Praesent egestas posuere elit,
et imperdiet magna rhoncus eget. Donec porttitor enim lectus, quis egestas quam dignissim in. Donec dignissim sapien
odio, nec molestie enim imperdiet ac. Praesent venenatis quis mi nec pretium.
\section*{Displayed Text}
\end{document}"""
| 52.734568
| 867
| 0.789769
| 1,139
| 8,543
| 5.881475
| 0.132572
| 0.017913
| 0.014331
| 0.022391
| 0.981341
| 0.981341
| 0.975817
| 0.975817
| 0.975817
| 0.975817
| 0
| 0.006502
| 0.135901
| 8,543
| 162
| 868
| 52.734568
| 0.900975
| 0
| 0
| 0.89313
| 0
| 0.045802
| 0.852762
| 0.144663
| 0
| 0
| 0
| 0
| 0.045802
| 1
| 0.053435
| false
| 0
| 0.007634
| 0
| 0.068702
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
63d1d00c1cd7445a42db123af094b8a52e97fc78
| 21,770
|
py
|
Python
|
qurkexp/estimation/runs.py
|
marcua/qurk_experiments
|
453c207ff50e730aefb6e1118e0f93e33babdb0b
|
[
"BSD-3-Clause"
] | 1
|
2015-09-30T00:09:06.000Z
|
2015-09-30T00:09:06.000Z
|
qurkexp/estimation/runs.py
|
marcua/qurk_experiments
|
453c207ff50e730aefb6e1118e0f93e33babdb0b
|
[
"BSD-3-Clause"
] | null | null | null |
qurkexp/estimation/runs.py
|
marcua/qurk_experiments
|
453c207ff50e730aefb6e1118e0f93e33babdb0b
|
[
"BSD-3-Clause"
] | null | null | null |
import django_includes
from qurkexp.estimation.models import *
run_defs = {
'complete_test_vars_change10': { # and change1,...
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue", "green"],
'num_batches': 5,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'complete_test_gtav_vars_change6': { # and change1,...
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'complete_test_wgat_vars_change6': { # and change1,...
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 2,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'complete_test_gtav_batch_vars_change7': { # and change1,...
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 5,
'batch_size': 3,
'display_style': 'batch',
'assignments': 2,
'price': 0.01
},
'shape_blue_.1_test10': { # and test1,...
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue"],
'num_batches': 5,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_test1': { # and test1,...
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue", "red"],
'num_batches': 20,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.1_200_10_real1': { # REAL
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.1_200_100_real1': { # REAL
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.1_200_50_real1': { # REAL notdone
'dataset': 'shape_blue_.1',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.5_200_50_real1': { # REAL notdone
'dataset': 'shape_blue_.5',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.5_200_100_real1': { # REAL
'dataset': 'shape_blue_.5',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_bluered_.5_200_10_real1': { # REAL notdone
'dataset': 'shape_blue_.5',
'vals_to_estimate': ["blue", "red"],
'num_batches': 200,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_male_real': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male"],
'num_batches': 200,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_female_real': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["female"],
'num_batches': 200,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_batch_real': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 10,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_batch5_real': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 5,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_male_real3': { # real2 messed up (ran in sandbox)
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_male_real4': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_male_real5': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
##########################################################################
# Experiments Friday March 23, 2012
##########################################################################
'gtav_male_.1_size150': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 150,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size125': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 125,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size100': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 100,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size75': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 75,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size50': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size25': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 25,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size10': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 10,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size5': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 5,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_batch_size10': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 10,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_batch_size10_noredundancy': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 10,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_batch_size5': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 5,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_batch_size5_noredundancy': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 5,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male_.01_size50': {
'dataset': 'gtav_male_.01',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.25_size50': {
'dataset': 'gtav_male_.25',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.5_size50': {
'dataset': 'gtav_male_.5',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.75_size50': {
'dataset': 'gtav_male_.75',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.9_size50': {
'dataset': 'gtav_male_.9',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.99_size50': {
'dataset': 'gtav_male_.99',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
# Monday morning 3/26
'gtav_male_.1_batch_size20': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_batch_size20_noredundancy': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_batch_size15': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 15,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male_.1_batch_size15_noredundancy': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 15,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
# Tuesday 3/27
'gtav_male_.1_size150_2': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 150,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male_.1_size125_2': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 125,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
# Wednesday, 3/28
'wgat_normal_batch_size20': { #fluke
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'wgat_normal_batch_size5': { #good
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 200,
'batch_size': 5,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'wgat_normal_batch_size5_noredundancy': { #fluke
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 1000,
'batch_size': 5,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'wgat_normal_batch_size20_noredundancy': { #good
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
# Thursday 3/29
'wgat_normal_size50': { # i had to kill the last three of these because they had a comment in them:/
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'wgat_normal_size20': {
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 500,
'batch_size': 20,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'wgat_normal_size5': {
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 500,
'batch_size': 5,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'wgat_normal2_batch_size20_noredundancy': {
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 500,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'wgat_normal2_batch_size5_noredundancy': {
'dataset': 'wgat_normal',
'vals_to_estimate': ["IS", "ME", "QF"],
'num_batches': 500,
'batch_size': 5,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'shape_yellowoutline_.1_size50': {
'dataset': 'shape_yellowoutline_.1',
'vals_to_estimate': ["yellow", "orange"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_triangle_.1_size50': {
'dataset': 'shape_triangle_.1',
'vals_to_estimate': ["triangle", "circle"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_yellowoutline2_.1_size50': {
'dataset': 'shape_yellowoutline_.1',
'vals_to_estimate': ["yellow", "orange"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_triangle2_.1_size50': {
'dataset': 'shape_triangle_.1',
'vals_to_estimate': ["triangle", "circle"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.01_size50': {
'dataset': 'gtav_male_.01',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.1_size50': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.25_size50': {
'dataset': 'gtav_male_.25',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.5_size50': {
'dataset': 'gtav_male_.5',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.75_size50': {
'dataset': 'gtav_male_.75',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.9_size50': {
'dataset': 'gtav_male_.9',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.99_size50': {
'dataset': 'gtav_male_.99',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_yellowoutline3_.1_size50': {
'dataset': 'shape_yellowoutline_.1',
'vals_to_estimate': ["yellow", "orange"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
'shape_triangle3_.1_size50': {
'dataset': 'shape_triangle_.1',
'vals_to_estimate': ["triangle", "circle"],
'num_batches': 500,
'batch_size': 50,
'display_style': 'tile',
'assignments': 1,
'price': 0.01
},
# Friday March 30, 2012
'gtav_male2_.01_batch_size20_noredundancy': {
'dataset': 'gtav_male_.01',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.01_batch_size20': {
'dataset': 'gtav_male_.01',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.1_batch_size20_noredundancy': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.1_batch_size20': {
'dataset': 'gtav_male_.1',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.25_batch_size20_noredundancy': {
'dataset': 'gtav_male_.25',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.25_batch_size20': {
'dataset': 'gtav_male_.25',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.5_batch_size20_noredundancy': {
'dataset': 'gtav_male_.5',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.5_batch_size20': {
'dataset': 'gtav_male_.5',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.75_batch_size20_noredundancy': {
'dataset': 'gtav_male_.75',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.75_batch_size20': {
'dataset': 'gtav_male_.75',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.9_batch_size20_noredundancy': {
'dataset': 'gtav_male_.9',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.9_batch_size20': {
'dataset': 'gtav_male_.9',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
'gtav_male2_.99_batch_size20_noredundancy': {
'dataset': 'gtav_male_.99',
'vals_to_estimate': ["male", "female"],
'num_batches': 1000,
'batch_size': 20,
'display_style': 'batch',
'assignments': 1,
'price': 0.01
},
'gtav_male2_.99_batch_size20': {
'dataset': 'gtav_male_.99',
'vals_to_estimate': ["male", "female"],
'num_batches': 200,
'batch_size': 20,
'display_style': 'batch',
'assignments': 5,
'price': 0.01
},
}
def load_run(run_name):
if run_name not in run_defs:
raise Exception("run_name not in experiment list (runs.py)")
ds = run_defs[run_name]
return (run_name, ds['dataset'], ds['vals_to_estimate'], ds['num_batches'], ds['batch_size'], ds['display_style'], ds['assignments'], ds['price'])
| 29.221477
| 150
| 0.510335
| 2,316
| 21,770
| 4.428756
| 0.061744
| 0.066296
| 0.109194
| 0.110559
| 0.922492
| 0.915472
| 0.90582
| 0.902993
| 0.873647
| 0.868773
| 0
| 0.075179
| 0.30712
| 21,770
| 744
| 151
| 29.260753
| 0.604813
| 0.017915
| 0
| 0.752778
| 0
| 0
| 0.474042
| 0.08153
| 0
| 0
| 0
| 0
| 0
| 1
| 0.001389
| false
| 0
| 0.002778
| 0
| 0.005556
| 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
|
897ebee7a5ad7f6265b62101c501aba000ff6581
| 896
|
py
|
Python
|
tests/fixtures/dict_fixtures.py
|
shanedabes/sputils
|
396fda1932e2a1ae4a602e9d2bc8238f0f6fecd9
|
[
"Apache-2.0"
] | 1
|
2019-05-29T23:49:38.000Z
|
2019-05-29T23:49:38.000Z
|
tests/fixtures/dict_fixtures.py
|
shanedabes/sputils
|
396fda1932e2a1ae4a602e9d2bc8238f0f6fecd9
|
[
"Apache-2.0"
] | 33
|
2019-06-04T15:14:10.000Z
|
2021-11-15T17:48:40.000Z
|
tests/fixtures/dict_fixtures.py
|
shanedabes/sputils
|
396fda1932e2a1ae4a602e9d2bc8238f0f6fecd9
|
[
"Apache-2.0"
] | null | null | null |
import pytest
import helpers
@pytest.fixture
def track_dict_collected():
return helpers.mock_json('mocks/dicts/track_collected.json')
@pytest.fixture
def track_dict_searched():
return helpers.mock_json('mocks/dicts/track_searched.json')
@pytest.fixture
def album_dict_common():
return helpers.mock_json('mocks/dicts/album_common.json')
@pytest.fixture
def album_dict_collected():
return helpers.mock_json('mocks/dicts/album_collected.json')
@pytest.fixture
def album_dict_searched():
return helpers.mock_json('mocks/dicts/album_searched.json')
@pytest.fixture
def playlist_dict():
return helpers.mock_json('mocks/dicts/playlist.json')
@pytest.fixture
def artist_dict_searched():
return helpers.mock_json('mocks/dicts/artist_searched.json')
@pytest.fixture
def artist_dict_collected():
return helpers.mock_json('mocks/dicts/artist_collected.json')
| 20.363636
| 65
| 0.780134
| 122
| 896
| 5.483607
| 0.147541
| 0.155456
| 0.19133
| 0.251121
| 0.895366
| 0.733931
| 0.491779
| 0.390135
| 0
| 0
| 0
| 0
| 0.103795
| 896
| 43
| 66
| 20.837209
| 0.833126
| 0
| 0
| 0.307692
| 0
| 0
| 0.273438
| 0.273438
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| true
| 0
| 0.076923
| 0.307692
| 0.692308
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
899bc5b3a35a0ed096a3f5ba9983acb4200fd639
| 62
|
py
|
Python
|
app/app/calc.py
|
ankit-saraf/recipe-app-api
|
4ea7ad4bbd57e94e840d415f4913eea6a0954743
|
[
"MIT"
] | null | null | null |
app/app/calc.py
|
ankit-saraf/recipe-app-api
|
4ea7ad4bbd57e94e840d415f4913eea6a0954743
|
[
"MIT"
] | null | null | null |
app/app/calc.py
|
ankit-saraf/recipe-app-api
|
4ea7ad4bbd57e94e840d415f4913eea6a0954743
|
[
"MIT"
] | null | null | null |
def add(x, y):
return x+y
def sub(x, y):
return x-y
| 8.857143
| 14
| 0.516129
| 14
| 62
| 2.285714
| 0.428571
| 0.25
| 0.5
| 0.5625
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.322581
| 62
| 6
| 15
| 10.333333
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
9825d9844a1ba2f47f8f3e6f861d19f88f7d3fd0
| 46,836
|
py
|
Python
|
openapi-python-client/openapi_client/api/task_local_variable_api.py
|
yanavasileva/camunda-bpm-examples
|
051f8f28c62845e68ce4059ab64264c5a0bdc009
|
[
"Apache-2.0"
] | null | null | null |
openapi-python-client/openapi_client/api/task_local_variable_api.py
|
yanavasileva/camunda-bpm-examples
|
051f8f28c62845e68ce4059ab64264c5a0bdc009
|
[
"Apache-2.0"
] | null | null | null |
openapi-python-client/openapi_client/api/task_local_variable_api.py
|
yanavasileva/camunda-bpm-examples
|
051f8f28c62845e68ce4059ab64264c5a0bdc009
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Camunda BPM REST API
OpenApi Spec for Camunda BPM REST API. # noqa: E501
The version of the OpenAPI document: 7.13.0
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 openapi_client.api_client import ApiClient
from openapi_client.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class TaskLocalVariableApi(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 delete_task_local_variable(self, id, var_name, **kwargs): # noqa: E501
"""delete_task_local_variable # noqa: E501
Removes a local variable from a task by id. # 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_task_local_variable(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to delete the variable from. (required)
:param str var_name: The name of the variable to be removed. (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_task_local_variable_with_http_info(id, var_name, **kwargs) # noqa: E501
def delete_task_local_variable_with_http_info(self, id, var_name, **kwargs): # noqa: E501
"""delete_task_local_variable # noqa: E501
Removes a local variable from a task by id. # 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_task_local_variable_with_http_info(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to delete the variable from. (required)
:param str var_name: The name of the variable to be removed. (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 = [
'id',
'var_name'
]
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_task_local_variable" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `delete_task_local_variable`") # noqa: E501
# verify the required parameter 'var_name' is set
if self.api_client.client_side_validation and ('var_name' not in local_var_params or # noqa: E501
local_var_params['var_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `var_name` when calling `delete_task_local_variable`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'var_name' in local_var_params:
path_params['varName'] = local_var_params['var_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables/{varName}', '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_task_local_variable(self, id, var_name, **kwargs): # noqa: E501
"""get_task_local_variable # noqa: E501
Retrieves a variable from the context of a given task by id. # 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_task_local_variable(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable from. (required)
:param str var_name: The name of the variable to get (required)
:param bool deserialize_value: Determines whether serializable variable values (typically variables that store custom Java objects) should be deserialized on the server side (default `true`). If set to `true`, a serializable variable will be deserialized on server side and transformed to JSON using [Jackson's](https://github.com/FasterXML/jackson) POJO/bean property introspection feature. Note that this requires the Java classes of the variable value to be on the REST API's classpath. If set to `false`, a serializable variable will be returned in its serialized format. For example, a variable that is serialized as XML will be returned as a JSON string containing XML. Note: While `true` is the default value for reasons of backward compatibility, we recommend setting this parameter to `false` when developing web applications that are independent of the Java process applications deployed to the engine.
: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: VariableValueDto
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_task_local_variable_with_http_info(id, var_name, **kwargs) # noqa: E501
def get_task_local_variable_with_http_info(self, id, var_name, **kwargs): # noqa: E501
"""get_task_local_variable # noqa: E501
Retrieves a variable from the context of a given task by id. # 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_task_local_variable_with_http_info(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable from. (required)
:param str var_name: The name of the variable to get (required)
:param bool deserialize_value: Determines whether serializable variable values (typically variables that store custom Java objects) should be deserialized on the server side (default `true`). If set to `true`, a serializable variable will be deserialized on server side and transformed to JSON using [Jackson's](https://github.com/FasterXML/jackson) POJO/bean property introspection feature. Note that this requires the Java classes of the variable value to be on the REST API's classpath. If set to `false`, a serializable variable will be returned in its serialized format. For example, a variable that is serialized as XML will be returned as a JSON string containing XML. Note: While `true` is the default value for reasons of backward compatibility, we recommend setting this parameter to `false` when developing web applications that are independent of the Java process applications deployed to the engine.
: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(VariableValueDto, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'var_name',
'deserialize_value'
]
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_task_local_variable" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `get_task_local_variable`") # noqa: E501
# verify the required parameter 'var_name' is set
if self.api_client.client_side_validation and ('var_name' not in local_var_params or # noqa: E501
local_var_params['var_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `var_name` when calling `get_task_local_variable`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'var_name' in local_var_params:
path_params['varName'] = local_var_params['var_name'] # noqa: E501
query_params = []
if 'deserialize_value' in local_var_params and local_var_params['deserialize_value'] is not None: # noqa: E501
query_params.append(('deserializeValue', local_var_params['deserialize_value'])) # 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 = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables/{varName}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VariableValueDto', # 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_task_local_variable_binary(self, id, var_name, **kwargs): # noqa: E501
"""get_task_local_variable_binary # noqa: E501
Retrieves a binary variable from the context of a given task by id. Applicable for byte array and file variables. # 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_task_local_variable_binary(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable for. (required)
:param str var_name: The name of the variable to retrieve. (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: file
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_task_local_variable_binary_with_http_info(id, var_name, **kwargs) # noqa: E501
def get_task_local_variable_binary_with_http_info(self, id, var_name, **kwargs): # noqa: E501
"""get_task_local_variable_binary # noqa: E501
Retrieves a binary variable from the context of a given task by id. Applicable for byte array and file variables. # 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_task_local_variable_binary_with_http_info(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable for. (required)
:param str var_name: The name of the variable to retrieve. (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(file, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'var_name'
]
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_task_local_variable_binary" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `get_task_local_variable_binary`") # noqa: E501
# verify the required parameter 'var_name' is set
if self.api_client.client_side_validation and ('var_name' not in local_var_params or # noqa: E501
local_var_params['var_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `var_name` when calling `get_task_local_variable_binary`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'var_name' in local_var_params:
path_params['varName'] = local_var_params['var_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/octet-stream', 'text/plain', 'application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables/{varName}/data', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='file', # 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_task_local_variables(self, id, **kwargs): # noqa: E501
"""get_task_local_variables # noqa: E501
Retrieves all variables of a given task by id. # 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_task_local_variables(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variables from. (required)
:param bool deserialize_values: Determines whether serializable variable values (typically variables that store custom Java objects) should be deserialized on the server side (default `true`). If set to `true`, a serializable variable will be deserialized on server side and transformed to JSON using [Jackson's](https://github.com/FasterXML/jackson) POJO/bean property introspection feature. Note that this requires the Java classes of the variable value to be on the REST API's classpath. If set to `false`, a serializable variable will be returned in its serialized format. For example, a variable that is serialized as XML will be returned as a JSON string containing XML. **Note:** While `true` is the default value for reasons of backward compatibility, we recommend setting this parameter to `false` when developing web applications that are independent of the Java process applications deployed to the engine.
: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: dict(str, VariableValueDto)
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_task_local_variables_with_http_info(id, **kwargs) # noqa: E501
def get_task_local_variables_with_http_info(self, id, **kwargs): # noqa: E501
"""get_task_local_variables # noqa: E501
Retrieves all variables of a given task by id. # 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_task_local_variables_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variables from. (required)
:param bool deserialize_values: Determines whether serializable variable values (typically variables that store custom Java objects) should be deserialized on the server side (default `true`). If set to `true`, a serializable variable will be deserialized on server side and transformed to JSON using [Jackson's](https://github.com/FasterXML/jackson) POJO/bean property introspection feature. Note that this requires the Java classes of the variable value to be on the REST API's classpath. If set to `false`, a serializable variable will be returned in its serialized format. For example, a variable that is serialized as XML will be returned as a JSON string containing XML. **Note:** While `true` is the default value for reasons of backward compatibility, we recommend setting this parameter to `false` when developing web applications that are independent of the Java process applications deployed to the engine.
: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(dict(str, VariableValueDto), status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'deserialize_values'
]
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_task_local_variables" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `get_task_local_variables`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
if 'deserialize_values' in local_var_params and local_var_params['deserialize_values'] is not None: # noqa: E501
query_params.append(('deserializeValues', local_var_params['deserialize_values'])) # 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 = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='dict(str, VariableValueDto)', # 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 modify_task_local_variables(self, id, **kwargs): # noqa: E501
"""modify_task_local_variables # noqa: E501
Updates or deletes the variables in the context of a task. Updates precede deletions. So, if a variable is updated AND deleted, the deletion overrides the update. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_task_local_variables(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to set variables for. (required)
:param PatchVariablesDto patch_variables_dto:
: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.modify_task_local_variables_with_http_info(id, **kwargs) # noqa: E501
def modify_task_local_variables_with_http_info(self, id, **kwargs): # noqa: E501
"""modify_task_local_variables # noqa: E501
Updates or deletes the variables in the context of a task. Updates precede deletions. So, if a variable is updated AND deleted, the deletion overrides the update. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_task_local_variables_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to set variables for. (required)
:param PatchVariablesDto patch_variables_dto:
: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 = [
'id',
'patch_variables_dto'
]
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 modify_task_local_variables" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `modify_task_local_variables`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'patch_variables_dto' in local_var_params:
body_params = local_var_params['patch_variables_dto']
# 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 = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables', 'POST',
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 put_task_local_variable(self, id, var_name, **kwargs): # noqa: E501
"""put_task_local_variable # noqa: E501
Sets a variable in the context of a given task. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.put_task_local_variable(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to set the variable for. (required)
:param str var_name: The name of the variable to set. (required)
:param VariableValueDto variable_value_dto:
: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.put_task_local_variable_with_http_info(id, var_name, **kwargs) # noqa: E501
def put_task_local_variable_with_http_info(self, id, var_name, **kwargs): # noqa: E501
"""put_task_local_variable # noqa: E501
Sets a variable in the context of a given task. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.put_task_local_variable_with_http_info(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to set the variable for. (required)
:param str var_name: The name of the variable to set. (required)
:param VariableValueDto variable_value_dto:
: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 = [
'id',
'var_name',
'variable_value_dto'
]
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 put_task_local_variable" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `put_task_local_variable`") # noqa: E501
# verify the required parameter 'var_name' is set
if self.api_client.client_side_validation and ('var_name' not in local_var_params or # noqa: E501
local_var_params['var_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `var_name` when calling `put_task_local_variable`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'var_name' in local_var_params:
path_params['varName'] = local_var_params['var_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'variable_value_dto' in local_var_params:
body_params = local_var_params['variable_value_dto']
# 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 = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables/{varName}', 'PUT',
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 set_binary_task_local_variable(self, id, var_name, **kwargs): # noqa: E501
"""set_binary_task_local_variable # noqa: E501
Sets the serialized value for a binary variable or the binary value for a file variable. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_binary_task_local_variable(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable for. (required)
:param str var_name: The name of the variable to retrieve. (required)
:param file data: The binary data to be set. For File variables, this multipart can contain the filename, binary value and MIME type of the file variable to be set Only the filename is mandatory.
:param str value_type: The name of the variable type. Either Bytes for a byte array variable or File for a file variable.
: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.set_binary_task_local_variable_with_http_info(id, var_name, **kwargs) # noqa: E501
def set_binary_task_local_variable_with_http_info(self, id, var_name, **kwargs): # noqa: E501
"""set_binary_task_local_variable # noqa: E501
Sets the serialized value for a binary variable or the binary value for a file variable. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_binary_task_local_variable_with_http_info(id, var_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the task to retrieve the variable for. (required)
:param str var_name: The name of the variable to retrieve. (required)
:param file data: The binary data to be set. For File variables, this multipart can contain the filename, binary value and MIME type of the file variable to be set Only the filename is mandatory.
:param str value_type: The name of the variable type. Either Bytes for a byte array variable or File for a file variable.
: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 = [
'id',
'var_name',
'data',
'value_type'
]
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 set_binary_task_local_variable" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `set_binary_task_local_variable`") # noqa: E501
# verify the required parameter 'var_name' is set
if self.api_client.client_side_validation and ('var_name' not in local_var_params or # noqa: E501
local_var_params['var_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `var_name` when calling `set_binary_task_local_variable`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'var_name' in local_var_params:
path_params['varName'] = local_var_params['var_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'data' in local_var_params:
local_var_files['data'] = local_var_params['data'] # noqa: E501
if 'value_type' in local_var_params:
form_params.append(('valueType', local_var_params['value_type'])) # noqa: E501
body_params = None
# 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
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/task/{id}/localVariables/{varName}/data', 'POST',
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)
| 50.743229
| 928
| 0.614378
| 5,598
| 46,836
| 4.911576
| 0.04841
| 0.040153
| 0.060084
| 0.022913
| 0.965121
| 0.961302
| 0.959593
| 0.958938
| 0.954064
| 0.949773
| 0
| 0.013767
| 0.316039
| 46,836
| 922
| 929
| 50.798265
| 0.84454
| 0.49526
| 0
| 0.734831
| 1
| 0
| 0.18278
| 0.058997
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033708
| false
| 0
| 0.011236
| 0
| 0.078652
| 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
|
98306ed32fa3e103f1d693cc37ce578a50bfb94e
| 28,056
|
py
|
Python
|
cnn_model/simple_resunet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 5
|
2019-11-22T08:19:15.000Z
|
2021-04-26T14:05:00.000Z
|
cnn_model/simple_resunet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 10
|
2020-01-28T22:18:19.000Z
|
2022-03-12T00:05:57.000Z
|
cnn_model/simple_resunet.py
|
WangSong960913/CraterDetection
|
9d78311eacb7cfa0e1934e796ff15a7698d93427
|
[
"MIT"
] | 1
|
2021-02-26T01:14:35.000Z
|
2021-02-26T01:14:35.000Z
|
from keras.models import Model
from keras.optimizers import Adam, SGD
from keras.layers.core import Reshape
from keras.layers import Input, Conv2DTranspose,Dropout, BatchNormalization, Conv2D, MaxPooling2D,\
concatenate, Activation,add,UpSampling2D
# batchnormalization +relu
def BatchActivate(x):
x = BatchNormalization(axis=3, momentum=0.01)(x)
x = Activation('relu')(x)
return x
# 卷积block
def convolution_block(x, filters, size, strides=(1, 1), padding='same', activation=True):
x = Conv2D(filters, size, strides=strides, padding=padding)(x)
if activation == True:
x = BatchActivate(x)
return x
#参差卷积块
def residual_block(blockInput, num_filters=16, batch_activate=False,filters_change=False):
x1 = BatchActivate(blockInput)
x2 = convolution_block(x1, num_filters, (3, 3))
x3 = convolution_block(x2, num_filters, (3, 3), activation=False)
if filters_change:
x = add([x2, x3])
else:
x = add([x1, x3])
if batch_activate:
x = BatchActivate(x)
return x
#simple res-Unet with two residual_block
def simple_resunet_two_resblock(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(convm, start_filter * 4)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_2
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_3
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(1, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model = Model(input_layer, output_layer)
c = Adam(lr=lr)
model.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model.summary()
return model
#simple res-Unet
def simple_resunet(dim,start_filter,DropoutRatio=0.3,lr=0.0001,class_num=1):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_2
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_3
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(class_num, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
def simple_resunet_sallite(dim,start_filter,DropoutRatio=0.3,lr=0.0001,class_num=1):
input_layer = Input(batch_shape=(None, dim, dim, 3))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_2
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_3
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(class_num, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
#output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
def simple_resunet_only_resblock(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = residual_block(input_layer, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = residual_block(pool1, start_filter * 2, True,True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = residual_block(pool2, start_filter * 4, True,True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True,True)
#up_unit_2
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True,True)
#up_unit_3
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True,True)
#output
output_layer = Conv2D(1, (1, 1), padding="same", activation='sigmoid')(uconv1)
output_layer = Reshape((dim, dim))(output_layer)
model = Model(input_layer, output_layer)
c = Adam(lr=lr)
model.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model.summary()
def simple_resunet_only_tworesblock(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = residual_block(input_layer, start_filter * 1, True,True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = residual_block(pool1, start_filter * 2, True,True)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = residual_block(pool2, start_filter * 4, True,True)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
#convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(pool3, start_filter * 4, True)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True,True)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_2
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True,True)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_3
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True,True)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer = Conv2D(1, (1, 1), padding="same", activation='sigmoid')(uconv1)
output_layer = Reshape((dim, dim))(output_layer)
model = Model(input_layer, output_layer)
c = Adam(lr=lr)
model.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model.summary()
return model
def simple_resunet_deeper(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
#down_unit_4
conv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(pool3)
conv4 = residual_block(conv4,start_filter * 8, True)
pool4 = MaxPooling2D((2, 2))(conv4)
pool4 = Dropout(DropoutRatio)(pool4)
# Middle
convm = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(pool4)
convm = residual_block(convm, start_filter * 8, True)
#up_unit_1
deconv4 = Conv2DTranspose(start_filter * 8, (3, 3), strides=(2, 2), padding="same")(convm)
uconv4 = concatenate([deconv4, conv4])
uconv4 = Dropout(DropoutRatio)(uconv4)
uconv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(uconv4)
uconv4 = residual_block(uconv4,start_filter * 8, True)
#up_unit_2
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(uconv4)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_3
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_4
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(1, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
def simple_resunet_deeper_2(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
#down_unit_4
conv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(pool3)
conv4 = residual_block(conv4,start_filter * 8, True)
pool4 = MaxPooling2D((2, 2))(conv4)
pool4 = Dropout(DropoutRatio)(pool4)
#down_unit_4
conv5 = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(pool4)
conv5 = residual_block(conv5,start_filter * 16, True)
pool5 = MaxPooling2D((2, 2))(conv5)
pool5 = Dropout(DropoutRatio)(pool5)
# Middle
convm = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(pool5)
convm = residual_block(convm, start_filter * 16, True)
deconv5 = Conv2DTranspose(start_filter * 16, (3, 3), strides=(2, 2), padding="same")(convm)
uconv5 = concatenate([deconv5, conv5])
uconv5 = Dropout(DropoutRatio)(uconv5)
uconv5 = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(uconv5)
uconv5 = residual_block(uconv5,start_filter * 16, True)
#up_unit_1
deconv4 = Conv2DTranspose(start_filter * 8, (3, 3), strides=(2, 2), padding="same")(uconv5)
uconv4 = concatenate([deconv4, conv4])
uconv4 = Dropout(DropoutRatio)(uconv4)
uconv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(uconv4)
uconv4 = residual_block(uconv4,start_filter * 8, True)
#up_unit_2
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(uconv4)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_3
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_4
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(1, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
def simple_resunet_deeper_8(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
#down_unit_4
conv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(pool3)
conv4 = residual_block(conv4,start_filter * 8, True)
pool4 = MaxPooling2D((2, 2))(conv4)
pool4 = Dropout(DropoutRatio)(pool4)
#down_unit_5
conv5 = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(pool4)
conv5 = residual_block(conv5,start_filter * 16, True)
pool5 = MaxPooling2D((2, 2))(conv5)
pool5 = Dropout(DropoutRatio)(pool5)
#down_unit_6
conv6 = Conv2D(start_filter * 32, (3, 3), activation=None, padding="same")(pool5)
conv6 = residual_block(conv6,start_filter * 32, True)
pool6 = MaxPooling2D((2, 2))(conv6)
pool6 = Dropout(DropoutRatio)(pool6)
#down_unit_7
conv7 = Conv2D(start_filter * 64, (3, 3), activation=None, padding="same")(pool6)
conv7 = residual_block(conv7,start_filter * 64, True)
pool7 = MaxPooling2D((2, 2))(conv7)
pool7 = Dropout(DropoutRatio)(pool7)
#down_unit_8
conv8 = Conv2D(start_filter * 128, (3, 3), activation=None, padding="same")(pool7)
conv8 = residual_block(conv8,start_filter * 128, True)
pool8 = MaxPooling2D((2, 2))(conv8)
pool8 = Dropout(DropoutRatio)(pool8)
#down_unit_9
# conv9 = Conv2D(start_filter * 256, (3, 3), activation=None, padding="same")(pool8)
# conv9 = residual_block(conv9,start_filter * 256, True)
# pool9 = MaxPooling2D((2, 2))(conv9)
# pool9 = Dropout(DropoutRatio)(pool9)
# Middle
convm = Conv2D(start_filter * 256, (3, 3), activation=None, padding="same")(pool8)
convm = residual_block(convm, start_filter * 256, True)
# deconv9 = Conv2DTranspose(start_filter * 256, (3, 3), strides=(2, 2), padding="same")(convm)
# uconv9 = concatenate([deconv9, conv9])
# uconv9 = Dropout(DropoutRatio)(uconv9)
# uconv9 = Conv2D(start_filter * 256, (3, 3), activation=None, padding="same")(uconv9)
# uconv9 = residual_block(uconv9,start_filter * 256, True)
deconv8 = Conv2DTranspose(start_filter * 128, (3, 3), strides=(2, 2), padding="same")(convm)
uconv8 = concatenate([deconv8, conv8])
uconv8 = Dropout(DropoutRatio)(uconv8)
uconv8 = Conv2D(start_filter * 128, (3, 3), activation=None, padding="same")(uconv8)
uconv8 = residual_block(uconv8,start_filter * 128, True)
deconv7 = Conv2DTranspose(start_filter * 64, (3, 3), strides=(2, 2), padding="same")(uconv8)
uconv7 = concatenate([deconv7, conv7])
uconv7 = Dropout(DropoutRatio)(uconv7)
uconv7 = Conv2D(start_filter * 64, (3, 3), activation=None, padding="same")(uconv7)
uconv7 = residual_block(uconv7,start_filter * 64, True)
deconv6 = Conv2DTranspose(start_filter * 32, (3, 3), strides=(2, 2), padding="same")(uconv7)
uconv6 = concatenate([deconv6, conv6])
uconv6 = Dropout(DropoutRatio)(uconv6)
uconv6 = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(uconv6)
uconv6 = residual_block(uconv6,start_filter * 16, True)
deconv5 = Conv2DTranspose(start_filter * 16, (3, 3), strides=(2, 2), padding="same")(uconv6)
uconv5 = concatenate([deconv5, conv5])
uconv5 = Dropout(DropoutRatio)(uconv5)
uconv5 = Conv2D(start_filter * 16, (3, 3), activation=None, padding="same")(uconv5)
uconv5 = residual_block(uconv5,start_filter * 16, True)
#up_unit_1
deconv4 = Conv2DTranspose(start_filter * 8, (3, 3), strides=(2, 2), padding="same")(uconv5)
uconv4 = concatenate([deconv4, conv4])
uconv4 = Dropout(DropoutRatio)(uconv4)
uconv4 = Conv2D(start_filter * 8, (3, 3), activation=None, padding="same")(uconv4)
uconv4 = residual_block(uconv4,start_filter * 8, True)
#up_unit_2
deconv3 = Conv2DTranspose(start_filter * 4, (3, 3), strides=(2, 2), padding="same")(uconv4)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_3
deconv2 = Conv2DTranspose(start_filter * 2, (3, 3), strides=(2, 2), padding="same")(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_4
deconv1 = Conv2DTranspose(start_filter * 1, (3, 3), strides=(2, 2), padding="same")(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(1, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
def simple_resunet_upsample(dim,start_filter,DropoutRatio=0.3,lr=0.0001):
input_layer = Input(batch_shape=(None, dim, dim, 1))
#down_unit_1
conv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(input_layer)
conv1 = residual_block(conv1, start_filter * 1, True)
pool1 = MaxPooling2D((2, 2))(conv1)
pool1 = Dropout(DropoutRatio / 2)(pool1)
#down_unit_2
conv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(pool1)
conv2 = residual_block(conv2, start_filter * 2, True)
pool2 = MaxPooling2D((2, 2))(conv2)
pool2 = Dropout(DropoutRatio)(pool2)
#down_unit_3
conv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool2)
conv3 = residual_block(conv3, start_filter * 4, True)
pool3 = MaxPooling2D((2, 2))(conv3)
pool3 = Dropout(DropoutRatio)(pool3)
# Middle
convm = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(pool3)
convm = residual_block(convm, start_filter * 4, True)
#up_unit_1
deconv3 = UpSampling2D()(convm)
uconv3 = concatenate([deconv3, conv3])
uconv3 = Dropout(DropoutRatio)(uconv3)
uconv3 = Conv2D(start_filter * 4, (3, 3), activation=None, padding="same")(uconv3)
uconv3 = residual_block(uconv3, start_filter * 4, True)
#up_unit_2
deconv2 = UpSampling2D()(uconv3)
uconv2 = concatenate([deconv2, conv2])
uconv2 = Dropout(DropoutRatio)(uconv2)
uconv2 = Conv2D(start_filter * 2, (3, 3), activation=None, padding="same")(uconv2)
uconv2 = residual_block(uconv2, start_filter * 2, True)
#up_unit_3
deconv1 = UpSampling2D()(uconv2)
uconv1 = concatenate([deconv1, conv1])
uconv1 = Dropout(DropoutRatio)(uconv1)
uconv1 = Conv2D(start_filter * 1, (3, 3), activation=None, padding="same")(uconv1)
uconv1 = residual_block(uconv1, start_filter * 1, True)
#output
output_layer_noActi = Conv2D(1, (1, 1), padding="same", activation=None)(uconv1)
output_layer = Activation('sigmoid')(output_layer_noActi)
output_layer = Reshape((dim, dim))(output_layer)
model1 = Model(input_layer, output_layer)
c = Adam(lr=lr)
model1.compile(loss="binary_crossentropy", metrics=['binary_accuracy'], optimizer=c)
model1.summary()
return model1
if __name__ == '__main__':
#simple_resunet_upsample(256,112)#21,368,705
simple_resunet(256,112)
| 47.633277
| 99
| 0.68292
| 3,671
| 28,056
| 5.056388
| 0.040316
| 0.121485
| 0.045254
| 0.059476
| 0.895916
| 0.88692
| 0.881963
| 0.87733
| 0.873882
| 0.873882
| 0
| 0.071515
| 0.171657
| 28,056
| 588
| 100
| 47.714286
| 0.727194
| 0.055888
| 0
| 0.818386
| 0
| 0
| 0.030813
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.026906
| false
| 0
| 0.008969
| 0
| 0.060538
| 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
|
988051772afe8a2474f7e50ad7f98f38eb90c303
| 6,821
|
py
|
Python
|
loldib/getratings/models/NA/na_volibear/na_volibear_sup.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_volibear/na_volibear_sup.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_volibear/na_volibear_sup.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_Volibear_Sup_Aatrox(Ratings):
pass
class NA_Volibear_Sup_Ahri(Ratings):
pass
class NA_Volibear_Sup_Akali(Ratings):
pass
class NA_Volibear_Sup_Alistar(Ratings):
pass
class NA_Volibear_Sup_Amumu(Ratings):
pass
class NA_Volibear_Sup_Anivia(Ratings):
pass
class NA_Volibear_Sup_Annie(Ratings):
pass
class NA_Volibear_Sup_Ashe(Ratings):
pass
class NA_Volibear_Sup_AurelionSol(Ratings):
pass
class NA_Volibear_Sup_Azir(Ratings):
pass
class NA_Volibear_Sup_Bard(Ratings):
pass
class NA_Volibear_Sup_Blitzcrank(Ratings):
pass
class NA_Volibear_Sup_Brand(Ratings):
pass
class NA_Volibear_Sup_Braum(Ratings):
pass
class NA_Volibear_Sup_Caitlyn(Ratings):
pass
class NA_Volibear_Sup_Camille(Ratings):
pass
class NA_Volibear_Sup_Cassiopeia(Ratings):
pass
class NA_Volibear_Sup_Chogath(Ratings):
pass
class NA_Volibear_Sup_Corki(Ratings):
pass
class NA_Volibear_Sup_Darius(Ratings):
pass
class NA_Volibear_Sup_Diana(Ratings):
pass
class NA_Volibear_Sup_Draven(Ratings):
pass
class NA_Volibear_Sup_DrMundo(Ratings):
pass
class NA_Volibear_Sup_Ekko(Ratings):
pass
class NA_Volibear_Sup_Elise(Ratings):
pass
class NA_Volibear_Sup_Evelynn(Ratings):
pass
class NA_Volibear_Sup_Ezreal(Ratings):
pass
class NA_Volibear_Sup_Fiddlesticks(Ratings):
pass
class NA_Volibear_Sup_Fiora(Ratings):
pass
class NA_Volibear_Sup_Fizz(Ratings):
pass
class NA_Volibear_Sup_Galio(Ratings):
pass
class NA_Volibear_Sup_Gangplank(Ratings):
pass
class NA_Volibear_Sup_Garen(Ratings):
pass
class NA_Volibear_Sup_Gnar(Ratings):
pass
class NA_Volibear_Sup_Gragas(Ratings):
pass
class NA_Volibear_Sup_Graves(Ratings):
pass
class NA_Volibear_Sup_Hecarim(Ratings):
pass
class NA_Volibear_Sup_Heimerdinger(Ratings):
pass
class NA_Volibear_Sup_Illaoi(Ratings):
pass
class NA_Volibear_Sup_Irelia(Ratings):
pass
class NA_Volibear_Sup_Ivern(Ratings):
pass
class NA_Volibear_Sup_Janna(Ratings):
pass
class NA_Volibear_Sup_JarvanIV(Ratings):
pass
class NA_Volibear_Sup_Jax(Ratings):
pass
class NA_Volibear_Sup_Jayce(Ratings):
pass
class NA_Volibear_Sup_Jhin(Ratings):
pass
class NA_Volibear_Sup_Jinx(Ratings):
pass
class NA_Volibear_Sup_Kalista(Ratings):
pass
class NA_Volibear_Sup_Karma(Ratings):
pass
class NA_Volibear_Sup_Karthus(Ratings):
pass
class NA_Volibear_Sup_Kassadin(Ratings):
pass
class NA_Volibear_Sup_Katarina(Ratings):
pass
class NA_Volibear_Sup_Kayle(Ratings):
pass
class NA_Volibear_Sup_Kayn(Ratings):
pass
class NA_Volibear_Sup_Kennen(Ratings):
pass
class NA_Volibear_Sup_Khazix(Ratings):
pass
class NA_Volibear_Sup_Kindred(Ratings):
pass
class NA_Volibear_Sup_Kled(Ratings):
pass
class NA_Volibear_Sup_KogMaw(Ratings):
pass
class NA_Volibear_Sup_Leblanc(Ratings):
pass
class NA_Volibear_Sup_LeeSin(Ratings):
pass
class NA_Volibear_Sup_Leona(Ratings):
pass
class NA_Volibear_Sup_Lissandra(Ratings):
pass
class NA_Volibear_Sup_Lucian(Ratings):
pass
class NA_Volibear_Sup_Lulu(Ratings):
pass
class NA_Volibear_Sup_Lux(Ratings):
pass
class NA_Volibear_Sup_Malphite(Ratings):
pass
class NA_Volibear_Sup_Malzahar(Ratings):
pass
class NA_Volibear_Sup_Maokai(Ratings):
pass
class NA_Volibear_Sup_MasterYi(Ratings):
pass
class NA_Volibear_Sup_MissFortune(Ratings):
pass
class NA_Volibear_Sup_MonkeyKing(Ratings):
pass
class NA_Volibear_Sup_Mordekaiser(Ratings):
pass
class NA_Volibear_Sup_Morgana(Ratings):
pass
class NA_Volibear_Sup_Nami(Ratings):
pass
class NA_Volibear_Sup_Nasus(Ratings):
pass
class NA_Volibear_Sup_Nautilus(Ratings):
pass
class NA_Volibear_Sup_Nidalee(Ratings):
pass
class NA_Volibear_Sup_Nocturne(Ratings):
pass
class NA_Volibear_Sup_Nunu(Ratings):
pass
class NA_Volibear_Sup_Olaf(Ratings):
pass
class NA_Volibear_Sup_Orianna(Ratings):
pass
class NA_Volibear_Sup_Ornn(Ratings):
pass
class NA_Volibear_Sup_Pantheon(Ratings):
pass
class NA_Volibear_Sup_Poppy(Ratings):
pass
class NA_Volibear_Sup_Quinn(Ratings):
pass
class NA_Volibear_Sup_Rakan(Ratings):
pass
class NA_Volibear_Sup_Rammus(Ratings):
pass
class NA_Volibear_Sup_RekSai(Ratings):
pass
class NA_Volibear_Sup_Renekton(Ratings):
pass
class NA_Volibear_Sup_Rengar(Ratings):
pass
class NA_Volibear_Sup_Riven(Ratings):
pass
class NA_Volibear_Sup_Rumble(Ratings):
pass
class NA_Volibear_Sup_Ryze(Ratings):
pass
class NA_Volibear_Sup_Sejuani(Ratings):
pass
class NA_Volibear_Sup_Shaco(Ratings):
pass
class NA_Volibear_Sup_Shen(Ratings):
pass
class NA_Volibear_Sup_Shyvana(Ratings):
pass
class NA_Volibear_Sup_Singed(Ratings):
pass
class NA_Volibear_Sup_Sion(Ratings):
pass
class NA_Volibear_Sup_Sivir(Ratings):
pass
class NA_Volibear_Sup_Skarner(Ratings):
pass
class NA_Volibear_Sup_Sona(Ratings):
pass
class NA_Volibear_Sup_Soraka(Ratings):
pass
class NA_Volibear_Sup_Swain(Ratings):
pass
class NA_Volibear_Sup_Syndra(Ratings):
pass
class NA_Volibear_Sup_TahmKench(Ratings):
pass
class NA_Volibear_Sup_Taliyah(Ratings):
pass
class NA_Volibear_Sup_Talon(Ratings):
pass
class NA_Volibear_Sup_Taric(Ratings):
pass
class NA_Volibear_Sup_Teemo(Ratings):
pass
class NA_Volibear_Sup_Thresh(Ratings):
pass
class NA_Volibear_Sup_Tristana(Ratings):
pass
class NA_Volibear_Sup_Trundle(Ratings):
pass
class NA_Volibear_Sup_Tryndamere(Ratings):
pass
class NA_Volibear_Sup_TwistedFate(Ratings):
pass
class NA_Volibear_Sup_Twitch(Ratings):
pass
class NA_Volibear_Sup_Udyr(Ratings):
pass
class NA_Volibear_Sup_Urgot(Ratings):
pass
class NA_Volibear_Sup_Varus(Ratings):
pass
class NA_Volibear_Sup_Vayne(Ratings):
pass
class NA_Volibear_Sup_Veigar(Ratings):
pass
class NA_Volibear_Sup_Velkoz(Ratings):
pass
class NA_Volibear_Sup_Vi(Ratings):
pass
class NA_Volibear_Sup_Viktor(Ratings):
pass
class NA_Volibear_Sup_Vladimir(Ratings):
pass
class NA_Volibear_Sup_Volibear(Ratings):
pass
class NA_Volibear_Sup_Warwick(Ratings):
pass
class NA_Volibear_Sup_Xayah(Ratings):
pass
class NA_Volibear_Sup_Xerath(Ratings):
pass
class NA_Volibear_Sup_XinZhao(Ratings):
pass
class NA_Volibear_Sup_Yasuo(Ratings):
pass
class NA_Volibear_Sup_Yorick(Ratings):
pass
class NA_Volibear_Sup_Zac(Ratings):
pass
class NA_Volibear_Sup_Zed(Ratings):
pass
class NA_Volibear_Sup_Ziggs(Ratings):
pass
class NA_Volibear_Sup_Zilean(Ratings):
pass
class NA_Volibear_Sup_Zyra(Ratings):
pass
| 16.357314
| 46
| 0.776133
| 972
| 6,821
| 5.020576
| 0.151235
| 0.197951
| 0.42418
| 0.509016
| 0.814139
| 0.814139
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162879
| 6,821
| 416
| 47
| 16.396635
| 0.854641
| 0
| 0
| 0.498195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.498195
| 0.00361
| 0
| 0.501805
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 7
|
98935785de4804683e670e5e727fbf8156e85996
| 3,778
|
py
|
Python
|
server/tests/steps/sql_translator/test_split.py
|
JeremyJacquemont/weaverbird
|
e04ab6f9c8381986ab71078e5199ece7a875e743
|
[
"BSD-3-Clause"
] | 54
|
2019-11-20T15:07:39.000Z
|
2022-03-24T22:13:51.000Z
|
server/tests/steps/sql_translator/test_split.py
|
JeremyJacquemont/weaverbird
|
e04ab6f9c8381986ab71078e5199ece7a875e743
|
[
"BSD-3-Clause"
] | 786
|
2019-10-20T11:48:37.000Z
|
2022-03-23T08:58:18.000Z
|
server/tests/steps/sql_translator/test_split.py
|
JeremyJacquemont/weaverbird
|
e04ab6f9c8381986ab71078e5199ece7a875e743
|
[
"BSD-3-Clause"
] | 10
|
2019-11-21T10:16:16.000Z
|
2022-03-21T10:34:06.000Z
|
from weaverbird.backends.sql_translator.metadata import ColumnMetadata
from weaverbird.backends.sql_translator.steps import translate_split
from weaverbird.pipeline.steps import SplitStep
def test_translate_simple_split(query):
step = SplitStep(
name='split',
column='TOTO',
delimiter=',',
number_cols_to_keep=2,
)
query = translate_split(
step,
query,
index=1,
)
expected_transformed_query = (
"WITH SELECT_STEP_0 AS (SELECT * FROM products), SPLIT_STEP_1 AS (SELECT TOTO, RAICHU, FLORIZARRE, "
"SPLIT_PART(TOTO, ',', 1) AS TOTO_1, SPLIT_PART(TOTO, ',', 2) AS TOTO_2 FROM SELECT_STEP_0)"
)
assert query.transformed_query == expected_transformed_query
assert (
query.selection_query == 'SELECT TOTO, RAICHU, FLORIZARRE, TOTO_1, TOTO_2 FROM SPLIT_STEP_1'
)
assert query.query_name == 'SPLIT_STEP_1'
# assert on metadata
assert query.metadata_manager.retrieve_query_metadata_columns() == {
'FLORIZARRE': ColumnMetadata(
name='FLORIZARRE',
original_name='FLORIZARRE',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
'RAICHU': ColumnMetadata(
name='RAICHU',
original_name='RAICHU',
type='INT',
original_type='int',
alias=None,
delete=False,
),
'TOTO': ColumnMetadata(
name='TOTO',
original_name='TOTO',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
'TOTO_1': ColumnMetadata(
name='TOTO_1',
original_name='TOTO_1',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
'TOTO_2': ColumnMetadata(
name='TOTO_2',
original_name='TOTO_2',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
}
def test_translate_quotes_as_delimiter_split(query):
step = SplitStep(
name='split',
column='TOTO',
delimiter="'",
number_cols_to_keep=1,
)
query = translate_split(
step,
query,
index=1,
)
expected_transformed_query = (
"WITH SELECT_STEP_0 AS (SELECT * FROM products), SPLIT_STEP_1 AS (SELECT TOTO, RAICHU, FLORIZARRE, "
"SPLIT_PART(TOTO, '\\'', 1) AS TOTO_1 FROM SELECT_STEP_0)"
)
assert query.transformed_query == expected_transformed_query
assert query.selection_query == 'SELECT TOTO, RAICHU, FLORIZARRE, TOTO_1 FROM SPLIT_STEP_1'
assert query.query_name == 'SPLIT_STEP_1'
# assert on metadata
assert query.metadata_manager.retrieve_query_metadata_columns() == {
'FLORIZARRE': ColumnMetadata(
name='FLORIZARRE',
original_name='FLORIZARRE',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
'RAICHU': ColumnMetadata(
name='RAICHU',
original_name='RAICHU',
type='INT',
original_type='int',
alias=None,
delete=False,
),
'TOTO': ColumnMetadata(
name='TOTO',
original_name='TOTO',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
'TOTO_1': ColumnMetadata(
name='TOTO_1',
original_name='TOTO_1',
type='TEXT',
original_type='text',
alias=None,
delete=False,
),
}
| 29.515625
| 108
| 0.551085
| 375
| 3,778
| 5.293333
| 0.144
| 0.056423
| 0.06801
| 0.09068
| 0.889673
| 0.854408
| 0.854408
| 0.854408
| 0.854408
| 0.832242
| 0
| 0.012857
| 0.341186
| 3,778
| 127
| 109
| 29.748032
| 0.784652
| 0.009794
| 0
| 0.781513
| 0
| 0.008403
| 0.200642
| 0
| 0
| 0
| 0
| 0
| 0.067227
| 1
| 0.016807
| false
| 0
| 0.02521
| 0
| 0.042017
| 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
|
7f8a58d66aa879580a0d2d4f12399f4e83578ee6
| 4,385
|
py
|
Python
|
tests/test_card.py
|
lheyberger/mtg-parser
|
a7d3bf11d4d349cb0c1b5932fb948e77dfec37e4
|
[
"MIT"
] | 2
|
2022-01-02T11:19:41.000Z
|
2022-03-24T22:36:24.000Z
|
tests/test_card.py
|
lheyberger/mtg-parser
|
a7d3bf11d4d349cb0c1b5932fb948e77dfec37e4
|
[
"MIT"
] | 1
|
2021-12-30T17:25:11.000Z
|
2021-12-31T09:12:27.000Z
|
tests/test_card.py
|
lheyberger/mtg-parser
|
a7d3bf11d4d349cb0c1b5932fb948e77dfec37e4
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from mtg_parser import Card
@pytest.mark.parametrize('card', [
{
'quantity': '1',
'name': 'Barkchannel Pathway // Tidechannel Pathway',
},
{
'quantity': 1,
'name': 'Gitaxian Probe',
'extension': 'NPH',
},
{
'quantity': 1,
'name': 'Gilded Drake',
'extension': 'USG',
'number': '76'
},
{
'quantity': '1',
'name': 'Brainstorm',
'tags': ['Instant', None, 'Card Advantage', 42]
},
])
def test_card(card):
result = Card(**card)
assert result.__repr__()
assert result.__str__()
@pytest.mark.parametrize('left, right', [
[
Card('Sol Ring'),
Card('Sol Ring'),
],
[
Card('Sol Ring', quantity=1),
Card('Sol Ring', quantity=1),
],
[
Card('Sol Ring', extension='mps'),
Card('Sol Ring', extension='mps'),
],
[
Card('Sol Ring', number='24'),
Card('Sol Ring', number='24'),
],
[
Card('Sol Ring', tags=['Ramp']),
Card('Sol Ring', tags=['Ramp']),
],
[
Card('Sol Ring', tags=['Artifact', 'Ramp']),
Card('Sol Ring', tags=['Artifact', 'Ramp']),
],
])
def test_card_strictly_equals(left, right):
assert left == right
assert left <= right
assert left >= right
@pytest.mark.parametrize('left, right', [
[
Card('Sol Ring'),
Card('Sol Ring', quantity=1),
],
[
Card('Sol Ring', quantity=1),
Card('Sol Ring', quantity='1'),
],
[
Card('Sol Ring', extension='MPS'),
Card('Sol Ring', extension='mps'),
],
[
Card('Sol Ring', number='24a'),
Card('Sol Ring', number='24A'),
],
[
Card('Sol Ring', number=24),
Card('Sol Ring', number='24'),
],
[
Card('Sol Ring', tags=['RAMP']),
Card('Sol Ring', tags=['ramp']),
],
[
Card('Sol Ring', tags=['Artifact', 'Ramp']),
Card('Sol Ring', tags=['Ramp', 'Artifact']),
],
[
Card('Sol Ring', tags=['ARTIFACT', 'Ramp']),
Card('Sol Ring', tags=['RAMP', 'Artifact']),
],
])
def test_card_equals(left, right):
assert left == right
assert left <= right
assert left >= right
@pytest.mark.parametrize('left, right', [
[
Card('sol ring'),
Card('SOL RING'),
],
[
Card('Sol Ring', quantity=1),
Card('Sol Ring', quantity=2),
],
[
Card('Sol Ring', extension='lea'),
Card('Sol Ring', extension='mps'),
],
[
Card('Sol Ring', number='1'),
Card('Sol Ring', number='2'),
],
[
Card('Sol Ring', tags=['Ramp']),
Card('Sol Ring', tags=['Artifact']),
],
[
Card('Sol Ring', tags=['Ramp']),
Card('Sol Ring', tags=['Artifact', 'Ramp']),
],
])
def test_card_not_equals(left, right):
assert left != right
assert not left == right
@pytest.mark.parametrize('left, right', [
[
Card('Brainstorm'),
Card('Sol Ring'),
],
[
Card('Sol Ring', quantity=1),
Card('Sol Ring', quantity=2),
],
[
Card('Sol Ring', extension='C17'),
Card('Sol Ring', extension='C18'),
],
[
Card('Sol Ring', number='10'),
Card('Sol Ring', number='20'),
],
# [
# Card('Sol Ring', tags=['Artifact']),
# Card('Sol Ring', tags=['Ramp']),
# ],
])
def test_card_strictly_less_than(left, right):
assert left < right
assert left <= right
assert left != right
assert not left > right
assert not left >= right
@pytest.mark.parametrize('left, right', [
[
Card('Sol Ring'),
Card('Brainstorm'),
],
[
Card('Sol Ring', quantity=2),
Card('Sol Ring', quantity=1),
],
[
Card('Sol Ring', extension='C18'),
Card('Sol Ring', extension='C17'),
],
[
Card('Sol Ring', number='20'),
Card('Sol Ring', number='10'),
],
# [
# Card('Sol Ring', tags=['Ramp']),
# Card('Sol Ring', tags=['Artifact']),
# ],
])
def test_card_strictly_greater_than(left, right):
assert left > right
assert left >= right
assert left != right
assert not left < right
assert not left <= right
| 22.146465
| 61
| 0.489624
| 471
| 4,385
| 4.503185
| 0.133758
| 0.191419
| 0.300802
| 0.127298
| 0.813767
| 0.791608
| 0.791608
| 0.788779
| 0.719
| 0.663366
| 0
| 0.016578
| 0.312201
| 4,385
| 197
| 62
| 22.258883
| 0.686671
| 0.047434
| 0
| 0.543353
| 0
| 0
| 0.207583
| 0
| 0
| 0
| 0
| 0
| 0.115607
| 1
| 0.034682
| false
| 0
| 0.011561
| 0
| 0.046243
| 0
| 0
| 0
| 0
| null | 0
| 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
| 7
|
f6bc3f2b188bfde93ba99550ab2ab319315a5468
| 21,089
|
py
|
Python
|
sdk/python/pulumi_azure/apimanagement/redis_cache.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2018-06-18T00:19:44.000Z
|
2022-02-20T05:32:57.000Z
|
sdk/python/pulumi_azure/apimanagement/redis_cache.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 663
|
2018-06-18T21:08:46.000Z
|
2022-03-31T20:10:11.000Z
|
sdk/python/pulumi_azure/apimanagement/redis_cache.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 41
|
2018-07-19T22:37:38.000Z
|
2022-03-14T10:56:26.000Z
|
# 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__ = ['RedisCacheArgs', 'RedisCache']
@pulumi.input_type
class RedisCacheArgs:
def __init__(__self__, *,
api_management_id: pulumi.Input[str],
connection_string: pulumi.Input[str],
cache_location: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
redis_cache_id: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a RedisCache resource.
:param pulumi.Input[str] api_management_id: The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] connection_string: The connection string to the Cache for Redis.
:param pulumi.Input[str] cache_location: The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
:param pulumi.Input[str] description: The description of the API Management Redis Cache.
:param pulumi.Input[str] name: The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] redis_cache_id: The resource ID of the Cache for Redis.
"""
pulumi.set(__self__, "api_management_id", api_management_id)
pulumi.set(__self__, "connection_string", connection_string)
if cache_location is not None:
pulumi.set(__self__, "cache_location", cache_location)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if redis_cache_id is not None:
pulumi.set(__self__, "redis_cache_id", redis_cache_id)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> pulumi.Input[str]:
"""
The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "api_management_id")
@api_management_id.setter
def api_management_id(self, value: pulumi.Input[str]):
pulumi.set(self, "api_management_id", value)
@property
@pulumi.getter(name="connectionString")
def connection_string(self) -> pulumi.Input[str]:
"""
The connection string to the Cache for Redis.
"""
return pulumi.get(self, "connection_string")
@connection_string.setter
def connection_string(self, value: pulumi.Input[str]):
pulumi.set(self, "connection_string", value)
@property
@pulumi.getter(name="cacheLocation")
def cache_location(self) -> Optional[pulumi.Input[str]]:
"""
The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
"""
return pulumi.get(self, "cache_location")
@cache_location.setter
def cache_location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cache_location", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the API Management Redis Cache.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="redisCacheId")
def redis_cache_id(self) -> Optional[pulumi.Input[str]]:
"""
The resource ID of the Cache for Redis.
"""
return pulumi.get(self, "redis_cache_id")
@redis_cache_id.setter
def redis_cache_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "redis_cache_id", value)
@pulumi.input_type
class _RedisCacheState:
def __init__(__self__, *,
api_management_id: Optional[pulumi.Input[str]] = None,
cache_location: Optional[pulumi.Input[str]] = None,
connection_string: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
redis_cache_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering RedisCache resources.
:param pulumi.Input[str] api_management_id: The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] cache_location: The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
:param pulumi.Input[str] connection_string: The connection string to the Cache for Redis.
:param pulumi.Input[str] description: The description of the API Management Redis Cache.
:param pulumi.Input[str] name: The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] redis_cache_id: The resource ID of the Cache for Redis.
"""
if api_management_id is not None:
pulumi.set(__self__, "api_management_id", api_management_id)
if cache_location is not None:
pulumi.set(__self__, "cache_location", cache_location)
if connection_string is not None:
pulumi.set(__self__, "connection_string", connection_string)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if redis_cache_id is not None:
pulumi.set(__self__, "redis_cache_id", redis_cache_id)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> Optional[pulumi.Input[str]]:
"""
The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "api_management_id")
@api_management_id.setter
def api_management_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "api_management_id", value)
@property
@pulumi.getter(name="cacheLocation")
def cache_location(self) -> Optional[pulumi.Input[str]]:
"""
The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
"""
return pulumi.get(self, "cache_location")
@cache_location.setter
def cache_location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cache_location", value)
@property
@pulumi.getter(name="connectionString")
def connection_string(self) -> Optional[pulumi.Input[str]]:
"""
The connection string to the Cache for Redis.
"""
return pulumi.get(self, "connection_string")
@connection_string.setter
def connection_string(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "connection_string", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the API Management Redis Cache.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="redisCacheId")
def redis_cache_id(self) -> Optional[pulumi.Input[str]]:
"""
The resource ID of the Cache for Redis.
"""
return pulumi.get(self, "redis_cache_id")
@redis_cache_id.setter
def redis_cache_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "redis_cache_id", value)
class RedisCache(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
api_management_id: Optional[pulumi.Input[str]] = None,
cache_location: Optional[pulumi.Input[str]] = None,
connection_string: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
redis_cache_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages a API Management Redis Cache.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_service = azure.apimanagement.Service("exampleService",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
publisher_name="pub1",
publisher_email="pub1@email.com",
sku_name="Consumption_0")
example_cache = azure.redis.Cache("exampleCache",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
capacity=1,
family="C",
sku_name="Basic",
enable_non_ssl_port=False,
minimum_tls_version="1.2",
redis_configuration=azure.redis.CacheRedisConfigurationArgs())
example_redis_cache = azure.apimanagement.RedisCache("exampleRedisCache",
api_management_id=example_service.id,
connection_string=example_cache.primary_connection_string,
description="Redis cache instances",
redis_cache_id=example_cache.id,
cache_location="East Us")
```
## Import
API Management Redis Caches can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:apimanagement/redisCache:RedisCache example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/service1/caches/cache1
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] api_management_id: The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] cache_location: The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
:param pulumi.Input[str] connection_string: The connection string to the Cache for Redis.
:param pulumi.Input[str] description: The description of the API Management Redis Cache.
:param pulumi.Input[str] name: The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] redis_cache_id: The resource ID of the Cache for Redis.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: RedisCacheArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a API Management Redis Cache.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_service = azure.apimanagement.Service("exampleService",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
publisher_name="pub1",
publisher_email="pub1@email.com",
sku_name="Consumption_0")
example_cache = azure.redis.Cache("exampleCache",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
capacity=1,
family="C",
sku_name="Basic",
enable_non_ssl_port=False,
minimum_tls_version="1.2",
redis_configuration=azure.redis.CacheRedisConfigurationArgs())
example_redis_cache = azure.apimanagement.RedisCache("exampleRedisCache",
api_management_id=example_service.id,
connection_string=example_cache.primary_connection_string,
description="Redis cache instances",
redis_cache_id=example_cache.id,
cache_location="East Us")
```
## Import
API Management Redis Caches can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:apimanagement/redisCache:RedisCache example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/service1/caches/cache1
```
:param str resource_name: The name of the resource.
:param RedisCacheArgs 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(RedisCacheArgs, 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,
api_management_id: Optional[pulumi.Input[str]] = None,
cache_location: Optional[pulumi.Input[str]] = None,
connection_string: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
redis_cache_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__ = RedisCacheArgs.__new__(RedisCacheArgs)
if api_management_id is None and not opts.urn:
raise TypeError("Missing required property 'api_management_id'")
__props__.__dict__["api_management_id"] = api_management_id
__props__.__dict__["cache_location"] = cache_location
if connection_string is None and not opts.urn:
raise TypeError("Missing required property 'connection_string'")
__props__.__dict__["connection_string"] = connection_string
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["redis_cache_id"] = redis_cache_id
super(RedisCache, __self__).__init__(
'azure:apimanagement/redisCache:RedisCache',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
api_management_id: Optional[pulumi.Input[str]] = None,
cache_location: Optional[pulumi.Input[str]] = None,
connection_string: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
redis_cache_id: Optional[pulumi.Input[str]] = None) -> 'RedisCache':
"""
Get an existing RedisCache 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] api_management_id: The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] cache_location: The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
:param pulumi.Input[str] connection_string: The connection string to the Cache for Redis.
:param pulumi.Input[str] description: The description of the API Management Redis Cache.
:param pulumi.Input[str] name: The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
:param pulumi.Input[str] redis_cache_id: The resource ID of the Cache for Redis.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _RedisCacheState.__new__(_RedisCacheState)
__props__.__dict__["api_management_id"] = api_management_id
__props__.__dict__["cache_location"] = cache_location
__props__.__dict__["connection_string"] = connection_string
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["redis_cache_id"] = redis_cache_id
return RedisCache(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="apiManagementId")
def api_management_id(self) -> pulumi.Output[str]:
"""
The resource ID of the Api Management Service from which to create this external cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "api_management_id")
@property
@pulumi.getter(name="cacheLocation")
def cache_location(self) -> pulumi.Output[Optional[str]]:
"""
The location where to use cache from. Possible values are `default` and valid Azure regions. Defaults to `default`.
"""
return pulumi.get(self, "cache_location")
@property
@pulumi.getter(name="connectionString")
def connection_string(self) -> pulumi.Output[str]:
"""
The connection string to the Cache for Redis.
"""
return pulumi.get(self, "connection_string")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the API Management Redis Cache.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name which should be used for this API Management Redis Cache. Changing this forces a new API Management Redis Cache to be created.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="redisCacheId")
def redis_cache_id(self) -> pulumi.Output[Optional[str]]:
"""
The resource ID of the Cache for Redis.
"""
return pulumi.get(self, "redis_cache_id")
| 45.746204
| 213
| 0.662288
| 2,517
| 21,089
| 5.326579
| 0.082241
| 0.067278
| 0.083538
| 0.078765
| 0.884985
| 0.86604
| 0.85254
| 0.844857
| 0.831655
| 0.820392
| 0
| 0.005219
| 0.24591
| 21,089
| 460
| 214
| 45.845652
| 0.837829
| 0.404619
| 0
| 0.733906
| 1
| 0
| 0.105184
| 0.003645
| 0
| 0
| 0
| 0
| 0
| 1
| 0.158798
| false
| 0.004292
| 0.021459
| 0
| 0.274678
| 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
|
1006cc25cc114036307f06ff14358f5f5afd1e0c
| 7,551
|
py
|
Python
|
testcases/options/fill_strategy_opt_test.py
|
Flabbergabber/pyalgotrade-opt
|
1c89e505372c601a05bd52bde560fd38132478c2
|
[
"Apache-2.0"
] | null | null | null |
testcases/options/fill_strategy_opt_test.py
|
Flabbergabber/pyalgotrade-opt
|
1c89e505372c601a05bd52bde560fd38132478c2
|
[
"Apache-2.0"
] | null | null | null |
testcases/options/fill_strategy_opt_test.py
|
Flabbergabber/pyalgotrade-opt
|
1c89e505372c601a05bd52bde560fd38132478c2
|
[
"Apache-2.0"
] | null | null | null |
import unittest
import datetime
from pyalgotrade.broker import optbroker
from pyalgotrade import broker as stockbroker
from pyalgotrade.broker.optbroker import optfillstrategy
from pyalgotrade.broker import fillstrategy as stockfillstrategy
from pyalgotrade.broker.optbroker import optbacktesting
import broker_backtesting_opt_test
from pyalgotrade import bar
class BaseTestCase(unittest.TestCase):
TestInstrument = "orcl"
class FreeFunctionsTestCase(BaseTestCase):
def testStopOrderTriggerBuy(self):
barsBuilder = broker_backtesting_opt_test.BarsBuilder(BaseTestCase.TestInstrument, bar.Frequency.MINUTE)
# Bar is below
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(5, 5, 5, 5)), None)
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(5, 6, 4, 5)), None)
# High touches
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(5, 10, 4, 9)), 10)
# High penetrates
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(5, 11, 4, 9)), 10)
# Open touches
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(10, 10, 10, 10)), 10)
# Open is above
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(11, 12, 4, 9)), 11)
# Bar gaps above
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(12, 13, 11, 12)), 12)
def testStopOrderTriggerSell(self):
barsBuilder = broker_backtesting_opt_test.BarsBuilder(BaseTestCase.TestInstrument, bar.Frequency.MINUTE)
# Bar is above
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(15, 15, 15, 15)), None)
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(15, 16, 11, 15)), None)
# Low touches
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(15, 16, 10, 11)), 10)
# Low penetrates
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(15, 16, 9, 11)), 10)
# Open touches
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(10, 10, 10, 10)), 10)
# Open is below
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(9, 12, 4, 9)), 9)
# Bar gaps below
self.assertEqual(stockfillstrategy.get_stop_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(8, 9, 6, 9)), 8)
def testLimitOrderTriggerBuy(self):
barsBuilder = broker_backtesting_opt_test.BarsBuilder(BaseTestCase.TestInstrument, bar.Frequency.MINUTE)
# Bar is above
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(15, 15, 15, 15)), None)
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(15, 16, 11, 15)), None)
# Low touches
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(15, 16, 10, 11)), 10)
# Low penetrates
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(15, 16, 9, 11)), 10)
# Open touches
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(10, 10, 10, 10)), 10)
# Open is below
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(9, 12, 4, 9)), 9)
# Bar gaps below
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.BUY, 10, False, barsBuilder.nextBar(8, 9, 6, 9)), 8)
def testLimitOrderTriggerSell(self):
barsBuilder = broker_backtesting_opt_test.BarsBuilder(BaseTestCase.TestInstrument, bar.Frequency.MINUTE)
# Bar is below
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(5, 5, 5, 5)), None)
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(5, 6, 4, 5)), None)
# High touches
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(5, 10, 4, 9)), 10)
# High penetrates
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(5, 11, 4, 9)), 10)
# Open touches
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(10, 10, 10, 10)), 10)
# Open is above
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(11, 12, 4, 9)), 11)
# Bar gaps above
self.assertEqual(stockfillstrategy.get_limit_price_trigger(optbroker.Order.Action.SELL, 10, False, barsBuilder.nextBar(12, 13, 11, 12)), 12)
class DefaultStrategyTestCase(BaseTestCase):
def setUp(self):
BaseTestCase.setUp(self)
self.barsBuilder = broker_backtesting_opt_test.BarsBuilder(BaseTestCase.TestInstrument, bar.Frequency.MINUTE)
self.strategy = optfillstrategy.OptionDefaultStrategy()
def __getFilledMarketOrder(self, quantity, price):
order = optbacktesting.OptionMarketOrder(
optbroker.Order.Action.BUY,
BaseTestCase.TestInstrument,
quantity,
False,
optbroker.OptionOrder.Right.CALL,
20,
"2016-01-01",
stockbroker.IntegerTraits()
)
order.setState(stockbroker.Order.State.ACCEPTED)
order.addExecutionInfo(stockbroker.OrderExecutionInfo(price, quantity, 0, datetime.datetime.now()))
return order
def testVolumeLimitPerBar(self):
volume = 100
self.strategy.onBars(None, self.barsBuilder.nextBars(11, 12, 4, 9, volume))
self.assertEquals(self.strategy.getVolumeLeft()[BaseTestCase.TestInstrument], 25)
self.assertEquals(self.strategy.getVolumeUsed()[BaseTestCase.TestInstrument], 0)
self.strategy.onOrderFilled(None, self.__getFilledMarketOrder(24, 11))
self.assertEquals(self.strategy.getVolumeLeft()[BaseTestCase.TestInstrument], 1)
self.assertEquals(self.strategy.getVolumeUsed()[BaseTestCase.TestInstrument], 24)
with self.assertRaisesRegexp(Exception, "Invalid fill quantity 25. Not enough volume left 1"):
self.strategy.onOrderFilled(None, self.__getFilledMarketOrder(25, 11))
self.assertEquals(self.strategy.getVolumeLeft()[BaseTestCase.TestInstrument], 1)
self.assertEquals(self.strategy.getVolumeUsed()[BaseTestCase.TestInstrument], 24)
| 64.538462
| 149
| 0.736459
| 891
| 7,551
| 6.12009
| 0.12009
| 0.074454
| 0.106363
| 0.179718
| 0.803594
| 0.790391
| 0.770952
| 0.746378
| 0.746378
| 0.74271
| 0
| 0.048443
| 0.157992
| 7,551
| 117
| 150
| 64.538462
| 0.809217
| 0.043835
| 0
| 0.101266
| 0
| 0
| 0.008894
| 0
| 0
| 0
| 0
| 0
| 0.443038
| 1
| 0.088608
| false
| 0
| 0.113924
| 0
| 0.265823
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
12393b6b0f34faa2f3a255a9bb2739cab87ed3c0
| 129,636
|
py
|
Python
|
deformdemo/test.py
|
tonthon/deformdemo
|
81746d2296d0fd67826d8c9522e3dbc46de3eed2
|
[
"CC-BY-3.0"
] | null | null | null |
deformdemo/test.py
|
tonthon/deformdemo
|
81746d2296d0fd67826d8c9522e3dbc46de3eed2
|
[
"CC-BY-3.0"
] | 1
|
2020-08-17T08:56:35.000Z
|
2020-08-17T08:56:35.000Z
|
deformdemo/test.py
|
tonthon/deformdemo
|
81746d2296d0fd67826d8c9522e3dbc46de3eed2
|
[
"CC-BY-3.0"
] | null | null | null |
# -*- coding: utf-8 -*-
import unittest
import re
# to run:
# console 1: java -jar selenium-server.jar
# console 2: start the deform demo server (paster serve demo.ini)
# console 3: python2.X test.py
# Note that this test file does not run under Python 3, but it can be used
# to test a deformdemo *instance* running under Python 3.
# Instead of using -browserSessionReuse as an arg to
# selenium-server.jar to speed up tests, we rely on
# setUpModule/tearDownModule functionality.
browser = None
def setUpModule():
from selenium import selenium
global browser
browser = selenium("localhost", 4444, "*chrome", "http://localhost:8521/")
browser.start()
return browser
def tearDownModule():
browser.stop()
def _getFile(name='test.py'):
import os
path = os.path.join(os.path.abspath(os.path.dirname(__file__)), name)
filename = os.path.split(path)[-1]
return path, filename
class Base(object):
urepl = re.compile('\\bu(\'.*?\'|".*?")')
def assertSimilarRepr(self, a, b):
# ignore u'' in reprs
ar = self.urepl.sub(r'\1', a)
br = self.urepl.sub(r'\1', b)
self.assertEqual(ar, br)
class CheckboxChoiceWidgetTests(Base, unittest.TestCase):
url = "/checkboxchoice/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Pepper"))
self.assertFalse(browser.is_checked("deformField1-0"))
self.assertFalse(browser.is_checked("deformField1-1"))
self.assertFalse(browser.is_checked("deformField1-2"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_unchecked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertFalse(browser.is_checked("deformField1-0"))
self.assertFalse(browser.is_checked("deformField1-1"))
self.assertFalse(browser.is_checked("deformField1-2"))
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_one_checked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("deformField1-0")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_checked("deformField1-0"))
captured = browser.get_text('css=#captured')
self.assertTrue(captured in (
"{'pepper': set([u'habanero'])}", # py2
"{'pepper': {'habanero'}}" # py3
))
def test_submit_three_checked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("deformField1-0")
browser.click("deformField1-1")
browser.click("deformField1-2")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_checked("deformField1-0"))
self.assertTrue(browser.is_checked("deformField1-1"))
self.assertTrue(browser.is_checked("deformField1-2"))
captured = browser.get_text('css=#captured')
self.assertTrue(captured in (
u"{'pepper': set([u'habanero', u'chipotle', u'jalapeno'])}", # py2
u"{'pepper': {'habanero', 'chipotle', 'jalapeno'}}", # py3
))
class CheckboxWidgetTests(Base, unittest.TestCase):
url = "/checkbox/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("I Want It!"))
self.assertFalse(browser.is_checked("deformField1"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_unchecked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_checked("deformField1"))
self.assertEqual(browser.get_text('css=#captured'), "{'want': False}")
def test_submit_checked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("deformField1")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_checked("deformField1"))
self.assertEqual(browser.get_text('css=#captured'), "{'want': True}")
class CheckedInputWidgetTests(Base, unittest.TestCase):
url = "/checkedinput/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Email Address"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-confirm'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-confirm'), '')
self.assertEqual(browser.get_text('css=#captured'), "None")
def test_submit_invalid(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'this')
browser.type('deformField1-confirm', 'this')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Invalid email address')
self.assertEqual(browser.get_value('deformField1'), 'this')
self.assertEqual(browser.get_value('deformField1-confirm'), 'this')
self.assertEqual(browser.get_text('css=#captured'), "None")
def test_submit_mismatch(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'this@example.com')
browser.type('deformField1-confirm', 'that@example.com')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Fields did not match')
self.assertEqual(browser.get_value('deformField1'), 'this@example.com')
self.assertEqual(browser.get_value('deformField1-confirm'),
'that@example.com')
self.assertEqual(browser.get_text('css=#captured'), "None")
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'user@example.com')
browser.type('deformField1-confirm', 'user@example.com')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'user@example.com')
self.assertEqual(browser.get_value('deformField1-confirm'),
'user@example.com')
self.assertSimilarRepr(browser.get_text('css=#captured'),
"{'email': u'user@example.com'}")
class CheckedInputWidgetWithMaskTests(Base, unittest.TestCase):
url = "/checkedinput_withmask/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '###-##-####')
self.assertEqual(browser.get_value('deformField1-confirm'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_type_bad_input(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
browser.key_press('deformField1', 'a')
time.sleep(.005)
browser.focus('deformField1-confirm')
browser.key_press('deformField1-confirm', 'a')
time.sleep(.005)
self.assertTrue(
browser.get_value('deformField1') in ('', '###-##-####'))
self.assertTrue(
browser.get_value('deformField1-confirm') in ('', '###-##-####'))
def test_submit_success(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
for key in '140118866':
browser.key_press('deformField1', key)
time.sleep(.005)
browser.focus('deformField1-confirm')
for key in '140118866':
browser.key_press('deformField1-confirm', key)
time.sleep(.005)
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertSimilarRepr(browser.get_text('css=#captured'),
u"{'ssn': u'140-11-8866'}")
class CheckedPasswordWidgetTests(Base, unittest.TestCase):
url = "/checkedpassword/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Password"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-confirm'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(
browser.get_attribute('css=#deformField1@type'),
'password')
self.assertEqual(
browser.get_attribute('css=#deformField1-confirm@type'),
'password')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-confirm'), '')
self.assertEqual(browser.get_text('css=#captured'), "None")
self.assertEqual(
browser.get_attribute('css=#deformField1@type'),
'password')
self.assertEqual(
browser.get_attribute('css=#deformField1-confirm@type'),
'password')
def test_submit_tooshort(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'this')
browser.type('deformField1-confirm', 'this')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'Shorter than minimum length 5')
self.assertEqual(browser.get_value('deformField1'), 'this')
self.assertEqual(browser.get_value('deformField1-confirm'), 'this')
self.assertEqual(browser.get_text('css=#captured'), "None")
self.assertEqual(
browser.get_attribute('css=#deformField1@type'),
'password')
self.assertEqual(
browser.get_attribute('css=#deformField1-confirm@type'),
'password')
def test_submit_mismatch(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'this123')
browser.type('deformField1-confirm', 'that123')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'Password did not match confirm')
self.assertEqual(browser.get_value('deformField1'), 'this123')
self.assertEqual(browser.get_value('deformField1-confirm'),
'that123')
self.assertEqual(browser.get_text('css=#captured'), "None")
self.assertEqual(
browser.get_attribute('css=#deformField1@type'),
'password')
self.assertEqual(
browser.get_attribute('css=#deformField1-confirm@type'),
'password')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'this123')
browser.type('deformField1-confirm', 'this123')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'this123')
self.assertEqual(browser.get_value('deformField1-confirm'), 'this123')
self.assertSimilarRepr(browser.get_text('css=#captured'),
"{'password': u'this123'}")
self.assertEqual(
browser.get_attribute('css=#deformField1@type'),
'password')
self.assertEqual(
browser.get_attribute('css=#deformField1-confirm@type'),
'password')
class DateInputWidgetTests(Base, unittest.TestCase):
url = '/dateinput/'
def test_render_default(self):
browser.open(self.url)
self.assertTrue(browser.is_text_present("Date"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '2010-05-05')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_tooearly(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('css=#deformField1')
browser.click('css=#deformField1')
browser.click('link=4')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'2010-05-04 is earlier than earliest date 2010-05-05')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('css=#deformField1')
browser.click('css=#deformField1')
browser.click('link=6')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#captured'),
"{'date': datetime.date(2010, 5, 6)}")
self.assertEqual(browser.get_value('deformField1'), '2010-05-06')
class DateTimeInputWidgetTests(Base, unittest.TestCase):
url = '/datetimeinput/'
def test_render_default(self):
browser.open(self.url)
self.assertTrue(browser.is_text_present("Date Time"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '2010-05-06 12:00:00')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_tooearly(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('css=#deformField1')
browser.click('css=#deformField1')
browser.click('link=5')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'2010-05-05 12:00:00+00:00 is earlier than earliest datetime 2010-05-05 12:30:00+00:00')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('css=#deformField1')
browser.click('css=#deformField1')
browser.click('link=7')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.get_text('css=#captured').startswith(
"{'date_time': datetime.datetime(2010, 5, 7, 12, 0, tzinfo"))
self.assertEqual(browser.get_value('deformField1'), '2010-05-07 12:00:00')
class DatePartsWidgetTests(Base, unittest.TestCase):
url = '/dateparts/'
def test_render_default(self):
browser.open(self.url)
self.assertTrue(browser.is_text_present("Date"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-month'), '')
self.assertEqual(browser.get_value('deformField1-day'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField1-month'), '')
self.assertEqual(browser.get_value('deformField1-day'), '')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_only_year(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '2010')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Incomplete date')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '2010')
self.assertEqual(browser.get_value('deformField1-month'), '')
self.assertEqual(browser.get_value('deformField1-day'), '')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_only_year_and_month(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '2010')
browser.type('deformField1-month', '1')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Incomplete date')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '2010')
self.assertEqual(browser.get_value('deformField1-month'), '1')
self.assertEqual(browser.get_value('deformField1-day'), '')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_tooearly(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '2008')
browser.type('deformField1-month', '1')
browser.type('deformField1-day', '1')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'2008-01-01 is earlier than earliest date 2010-01-01')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '2008')
self.assertEqual(browser.get_value('deformField1-month'), '1')
self.assertEqual(browser.get_value('deformField1-day'), '1')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '2010')
browser.type('deformField1-month', '1')
browser.type('deformField1-day', '1')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#captured'),
"{'date': datetime.date(2010, 1, 1)}")
self.assertEqual(browser.get_value('deformField1'), '2010')
self.assertEqual(browser.get_value('deformField1-month'), '01')
self.assertEqual(browser.get_value('deformField1-day'), '01')
class EditFormTests(Base, unittest.TestCase):
url = "/edit/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertTrue(browser.is_element_present('css=#req-deformField3'))
self.assertTrue(browser.is_element_present('css=#req-deformField4'))
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '42')
self.assertEqual(browser.get_attribute('deformField1@name'), 'number')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_attribute('deformField3@name'), 'name')
self.assertEqual(browser.get_value('deformField4'), '2010')
self.assertEqual(browser.get_attribute('deformField4@name'), 'year')
self.assertEqual(browser.get_value('deformField4-month'), '04')
self.assertEqual(browser.get_attribute('deformField4-month@name'),
'month')
self.assertEqual(browser.get_value('deformField4-day'), '09')
self.assertEqual(browser.get_attribute('deformField4-day@name'),
'day')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField3', 'name')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
self.assertFalse(browser.is_element_present('css=#error-deformField3'))
self.assertFalse(browser.is_element_present('css=#error-deformField4'))
self.assertEqual(browser.get_value('deformField1'), '42')
self.assertEqual(browser.get_value('deformField3'), 'name')
self.assertEqual(browser.get_value('deformField4'), '2010')
self.assertEqual(browser.get_value('deformField4-month'), '04')
self.assertEqual(browser.get_value('deformField4-day'), '09')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
(u"{'number': 42, 'mapping': {'date': datetime.date(2010, 4, 9), "
"'name': u'name'}}"))
class MappingWidgetTests(Base, unittest.TestCase):
url = "/mapping/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertTrue(browser.is_element_present('css=#req-deformField3'))
self.assertTrue(browser.is_element_present('css=#req-deformField4'))
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('deformField1@name'), 'number')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_attribute('deformField3@name'), 'name')
self.assertEqual(browser.get_value('deformField4'), '')
self.assertEqual(browser.get_attribute('deformField4@name'), 'year')
self.assertEqual(browser.get_value('deformField4-month'), '')
self.assertEqual(browser.get_attribute('deformField4-month@name'),
'month')
self.assertEqual(browser.get_value('deformField4-day'), '')
self.assertEqual(browser.get_attribute('deformField4-day@name'),
'day')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
self.assertEqual(browser.get_text('css=#captured'),
'None')
def test_submit_invalid_number(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'notanumber')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'"notanumber" is not a number')
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
self.assertEqual(browser.get_text('css=#captured'),
'None')
def test_submit_invalid_date(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1')
browser.type('deformField3', 'name')
browser.type('deformField4', 'year')
browser.type('deformField4-month', 'month')
browser.type('deformField4-day', 'day')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
self.assertFalse(browser.is_element_present('css=#error-deformField3'))
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Invalid date')
self.assertEqual(browser.get_value('deformField1'), '1')
self.assertEqual(browser.get_value('deformField3'), 'name')
self.assertEqual(browser.get_value('deformField4'), 'year')
self.assertEqual(browser.get_value('deformField4-month'), 'month')
self.assertEqual(browser.get_value('deformField4-day'), 'day')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1')
browser.type('deformField3', 'name')
browser.type('deformField4', '2010')
browser.type('deformField4-month', '1')
browser.type('deformField4-day', '1')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
self.assertFalse(browser.is_element_present('css=#error-deformField3'))
self.assertFalse(browser.is_element_present('css=#error-deformField4'))
self.assertEqual(browser.get_value('deformField1'), '1')
self.assertEqual(browser.get_value('deformField3'), 'name')
self.assertEqual(browser.get_value('deformField4'), '2010')
self.assertEqual(browser.get_value('deformField4-month'), '01')
self.assertEqual(browser.get_value('deformField4-day'), '01')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
(u"{'number': 1, 'mapping': {'date': datetime.date(2010, 1, 1), "
"'name': u'name'}}"))
class FieldDefaultTests(Base, unittest.TestCase):
url = "/fielddefaults/"
def test_render_default(self):
browser.open(self.url)
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertTrue(browser.is_element_present('css=#req-deformField2'))
self.assertTrue(browser.is_element_present('css=#req-deformField3'))
self.assertEqual(browser.get_value('deformField1'), 'Grandaddy')
self.assertEqual(browser.get_attribute('deformField1@name'), 'artist')
self.assertEqual(browser.get_value('deformField2'),
'Just Like the Fambly Cat')
self.assertEqual(browser.get_attribute('deformField2@name'), 'album')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_attribute('deformField3@name'), 'song')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'Grandaddy')
self.assertEqual(browser.get_attribute('deformField1@name'), 'artist')
self.assertEqual(browser.get_value('deformField2'),
'Just Like the Fambly Cat')
self.assertEqual(browser.get_attribute('deformField2@name'), 'album')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_attribute('deformField3@name'), 'song')
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.type('deformField2', 'def')
browser.type('deformField3', 'ghi')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_value('deformField2'), 'def')
self.assertEqual(browser.get_value('deformField3'), 'ghi')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
u"{'album': u'def', 'song': u'ghi', 'artist': u'abc'}")
class NonRequiredFieldTests(Base, unittest.TestCase):
url = "/nonrequiredfields/"
def test_render_default(self):
browser.open(self.url)
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('deformField1@name'), 'required')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_attribute('deformField2@name'),
'notrequired')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_success_required_filled_notrequired_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
u"{'required': u'abc', 'notrequired': u''}")
def test_submit_success_required_and_notrequired_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.type('deformField2', 'def')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_value('deformField2'), 'def')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
u"{'required': u'abc', 'notrequired': u'def'}")
class HiddenFieldWidgetTests(Base, unittest.TestCase):
url = "/hidden_field/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'sneaky')
self.assertEqual(browser.get_value('deformField1'), 'true')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_render_submitted(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'sneaky')
self.assertEqual(browser.get_value('deformField1'), 'true')
self.assertEqual(browser.get_text('css=#captured'), "{'sneaky': True}")
class HiddenmissingTests(Base, unittest.TestCase):
url = "/hiddenmissing/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'title')
self.assertEqual(browser.get_attribute('deformField2@name'), 'number')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_render_submitted(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'yup')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'title')
self.assertEqual(browser.get_value('deformField1'), 'yup')
self.assertSimilarRepr(
browser.get_text('css=#captured'),
"{'number': <colander.null>, 'title': u'yup'}")
class FileUploadTests(Base, unittest.TestCase):
url = "/file/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'upload')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_attribute('deformField1@name'), 'upload')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_filled(self):
# submit one first
path, filename = _getFile()
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', path)
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'upload')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_text('css=#deformField1-filename'),
filename)
uid = browser.get_value('css=#deformField1-uid')
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename in captured)
self.assertTrue(uid in captured)
# resubmit without entering a new filename should not change the file
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('css=#deformField1-uid'), uid)
self.assertEqual(browser.get_text('css=#deformField1-filename'),
filename)
# resubmit after entering a new filename should change the file
path2, filename2 = _getFile('selenium.py')
browser.type('deformField1', path2)
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('css=#deformField1-filename'),
filename2)
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename2 in captured)
self.assertEqual(browser.get_value('css=#deformField1-uid'), uid)
class InterFieldValidationTests(Base, unittest.TestCase):
url= "/interfield/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertTrue(browser.is_element_present('css=#req-deformField2'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'name')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('deformField2@name'), 'title')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_both_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
error_node2 = 'css=#error-deformField2'
self.assertEqual(browser.get_text(error_node2), 'Required')
self.assertEqual(browser.get_attribute('deformField1@name'), 'name')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('deformField2@name'), 'title')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_one_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
error_node2 = 'css=#error-deformField2'
self.assertEqual(browser.get_text(error_node2), 'Required')
self.assertEqual(browser.get_attribute('deformField1@name'), 'name')
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_attribute('deformField2@name'), 'title')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_first_doesnt_start_with_second(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.type('deformField2', 'def')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
error_node2 = 'css=#error-deformField2'
self.assertEqual(browser.get_text(error_node2),
'Must start with name abc')
self.assertEqual(browser.get_attribute('deformField1@name'), 'name')
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_attribute('deformField2@name'), 'title')
self.assertEqual(browser.get_value('deformField2'), 'def')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abc')
browser.type('deformField2', 'abcdef')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertFalse(browser.is_element_present('css=#error-deformField1'))
self.assertFalse(browser.is_element_present('css=#error-deformField2'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'name')
self.assertEqual(browser.get_value('deformField1'), 'abc')
self.assertEqual(browser.get_attribute('deformField2@name'), 'title')
self.assertEqual(browser.get_value('deformField2'), 'abcdef')
self.assertEqual(eval(browser.get_text('css=#captured')),
{'name': 'abc', 'title': 'abcdef'})
class InternationalizationTests(Base, unittest.TestCase):
url = "/i18n/"
def test_render_default(self):
browser.open(self.url)
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'number')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
label = browser.get_text('css=label')
self.assertEqual(label, 'A number between 1 and 10*')
button = browser.get_text('css=button')
self.assertEqual(button, 'Submit')
def test_render_en(self):
browser.open("%s?_LOCALE_=en" % self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
label = browser.get_text('css=label')
self.assertEqual(label, 'A number between 1 and 10*')
button = browser.get_text('css=button')
self.assertEqual(button, 'Submit')
def test_render_ru(self):
browser.open("%s?_LOCALE_=ru" % self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
label = browser.get_text('css=label')
self.assertEqual(label, u'Число между 1 и 10*')
button = browser.get_text('css=button')
self.assertEqual(button, u'отправить')
def test_submit_empty_en(self):
browser.open("%s?_LOCALE_=en" % self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
'There was a problem with your submission')
self.assertEqual(errorMsg, 'Errors have been highlighted below')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
label = browser.get_text('css=label')
self.assertEqual(label, 'A number between 1 and 10*')
button = browser.get_text('css=button')
self.assertEqual(button, 'Submit')
def test_submit_empty_ru(self):
browser.open("%s?_LOCALE_=ru" % self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
u'Данные которые вы предоставили содержат ошибку')
self.assertEqual(errorMsg,
u'Ниже вы найдёте подробное описание ошибок')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), u'Требуется')
label = browser.get_text('css=label')
self.assertEqual(label, u'Число между 1 и 10*')
button = browser.get_text('css=button')
self.assertEqual(button, u'отправить')
def test_submit_toolow_en(self):
browser.open("%s?_LOCALE_=en" % self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '0')
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
'There was a problem with your submission')
self.assertEqual(errorMsg, 'Errors have been highlighted below')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'0 is less than minimum value 1')
label = browser.get_text('css=label')
self.assertEqual(label, 'A number between 1 and 10*')
button = browser.get_text('css=button')
self.assertEqual(button, 'Submit')
def test_submit_toolow_ru(self):
browser.open("%s?_LOCALE_=ru" % self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '0')
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
u'Данные которые вы предоставили содержат ошибку')
self.assertEqual(errorMsg,
u'Ниже вы найдёте подробное описание ошибок')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
u'0 меньше чем 1')
label = browser.get_text('css=label')
self.assertEqual(label, u'Число между 1 и 10*')
button = browser.get_text('css=button')
self.assertEqual(button, u'отправить')
def test_submit_toohigh_en(self):
browser.open("%s?_LOCALE_en" % self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '11')
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
'There was a problem with your submission')
self.assertEqual(errorMsg, 'Errors have been highlighted below')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
'11 is greater than maximum value 10')
label = browser.get_text('css=label')
self.assertEqual(label, 'A number between 1 and 10*')
button = browser.get_text('css=button')
self.assertEqual(button, 'Submit')
def test_submit_toohigh_ru(self):
browser.open("%s?_LOCALE_=ru" % self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '11')
browser.click('submit')
browser.wait_for_page_to_load("30000")
errorMsgLbl = browser.get_text('css=.errorMsgLbl')
errorMsg = browser.get_text('css=.errorMsg')
self.assertEqual(errorMsgLbl,
u'Данные которые вы предоставили содержат ошибку')
self.assertEqual(errorMsg,
u'Ниже вы найдёте подробное описание ошибок')
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node),
u'11 больше чем 10')
label = browser.get_text('css=label')
self.assertEqual(label, u'Число между 1 и 10*')
button = browser.get_text('css=button')
self.assertEqual(button, u'отправить')
class PasswordWidgetTests(Base, unittest.TestCase):
url = "/password/"
def test_render_default(self):
browser.open(self.url)
self.assertTrue(browser.is_text_present("Password"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('css=#deformField1@type'),
'password')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_render_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Password"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('css=#deformField1@type'),
'password')
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
def test_render_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'abcdef123')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Password"))
self.assertSimilarRepr(
browser.get_text('css=#captured'),
"{'password': u'abcdef123'}")
self.assertEqual(browser.get_value('deformField1'), 'abcdef123')
self.assertEqual(browser.get_attribute('css=#deformField1@type'),
'password')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
class RadioChoiceWidgetTests(Base, unittest.TestCase):
url = "/radiochoice/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Pepper"))
self.assertFalse(browser.is_checked("deformField1-0"))
self.assertFalse(browser.is_checked("deformField1-1"))
self.assertFalse(browser.is_checked("deformField1-2"))
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_unchecked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.get_text('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertFalse(browser.is_checked("deformField1-0"))
self.assertFalse(browser.is_checked("deformField1-1"))
self.assertFalse(browser.is_checked("deformField1-2"))
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_one_checked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("deformField1-0")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_checked("deformField1-0"))
self.assertSimilarRepr(
browser.get_text('css=#captured'),
"{'pepper': u'habanero'}")
class RadioChoiceWidgetIntTests(RadioChoiceWidgetTests):
url = "/radiochoice_int/"
def test_submit_one_checked(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("deformField1-0")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_checked("deformField1-0"))
self.assertSimilarRepr(
browser.get_text('css=#captured'),
"{'pepper': 0}")
class ReadOnlySequenceOfMappingTests(Base, unittest.TestCase):
url = "/readonly_sequence_of_mappings/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField6'), 'name1')
self.assertEqual(browser.get_text('deformField7'), '23')
self.assertEqual(browser.get_text('deformField9'), 'name2')
self.assertEqual(browser.get_text('deformField10'), '25')
class SequenceOfRadioChoices(Base, unittest.TestCase):
url = "/sequence_of_radiochoices/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Pepper Chooser')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Pepper Chooser')
self.assertEqual(browser.get_text('css=#captured'), "{'peppers': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click('dom=document.forms[0].elements[5]')
browser.click('dom=document.forms[0].elements[11]')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertEqual(eval(captured),
{'peppers': ['habanero', 'jalapeno']})
class SequenceOfFileUploads(Base, unittest.TestCase):
url = "/sequence_of_fileuploads/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'), 'Add Upload')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'), 'Add Upload')
self.assertEqual(browser.get_text('css=#captured'), "{'uploads': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_upload_one_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
path, filename = _getFile()
browser.type("dom=document.forms[0].upload", path)
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField3@name'), 'upload')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename)
uid = browser.get_value('css=#deformField3-uid')
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename in captured)
self.assertTrue(uid in captured)
def test_upload_multi_interaction(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
path, filename = _getFile()
browser.type("dom=document.forms[0].upload", path)
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField3@name'), 'upload')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename)
uid = browser.get_value('css=#deformField3-uid')
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename in captured)
self.assertTrue(uid in captured)
# resubmit without entering a new filename should not change the file
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('css=#deformField3-uid'), uid)
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename)
# resubmit after entering a new filename should change the file
path2, filename2 = _getFile('selenium.py')
browser.type('deformField3', path2)
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename2)
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename2 in captured)
self.assertEqual(browser.get_value('css=#deformField3-uid'), uid)
# add a new file
browser.click('deformField1-seqAdd')
path, filename = _getFile()
browser.type("dom=document.forms[0].upload[1]", path)
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename2)
self.assertEqual(browser.get_text('css=#deformField4-filename'),
filename)
captured = browser.get_text('css=#captured')
uid2 = browser.get_value('css=#deformField4-uid')
self.assertTrue("'filename': u'%s" % filename2 in captured)
self.assertTrue("'filename': u'%s" % filename in captured)
self.assertEqual(browser.get_value('css=#deformField3-uid'), uid)
# resubmit should not change either file
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('css=#deformField3-uid'), uid)
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename2)
self.assertEqual(browser.get_value('css=#deformField4-uid'), uid2)
self.assertEqual(browser.get_text('css=#deformField4-filename'),
filename)
# remove a file
browser.click('deformField4-close')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('css=#deformField3-uid'), uid)
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename2)
self.assertFalse(browser.is_element_present('css=#deformField4-uid'))
captured = browser.get_text('css=#captured')
self.assertFalse("'filename': u'%s" % filename in captured)
class SequenceOfFileUploadsWithInitialItem(Base, unittest.TestCase):
url = "/sequence_of_fileuploads_with_initial_item/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'), 'Add Upload')
self.assertEqual(browser.get_attribute('deformField3@name'),
'upload')
self.assertEqual(browser.get_attribute('deformField3@type'),
'file')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_upload_one_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
path, filename = _getFile()
browser.type("dom=document.forms[0].upload[0]", path)
browser.type("dom=document.forms[0].upload[1]", path)
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
# first element present
self.assertEqual(browser.get_attribute('deformField3@name'), 'upload')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_text('css=#deformField3-filename'),
filename)
uid = browser.get_value('css=#deformField3-uid')
# second element present
self.assertEqual(browser.get_attribute('deformField4@name'), 'upload')
self.assertEqual(browser.get_value('deformField4'), '')
self.assertEqual(browser.get_text('css=#deformField4-filename'),
filename)
uid = browser.get_value('css=#deformField3-uid')
# got some files
captured = browser.get_text('css=#captured')
self.assertTrue("'filename': u'%s" % filename in captured)
self.assertTrue(uid in captured)
class SequenceOfMappings(Base, unittest.TestCase):
url = "/sequence_of_mappings/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.deformProto'))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Person')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Person')
self.assertEqual(browser.get_text('css=#captured'), "{'people': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField6'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField7'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField9'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField10'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_complex_interaction(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd') # add one
browser.type("name", 'name')
browser.type("age", '23')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField6@name'), 'name')
self.assertEqual(browser.get_value('deformField6'), 'name')
self.assertEqual(browser.get_attribute('deformField7@name'), 'age')
self.assertEqual(browser.get_value('deformField7'), '23')
captured = browser.get_text('css=#captured')
captured = eval(captured)
self.assertEqual(captured,
{'people': [{'name': 'name', 'age': 23}]})
browser.click('deformField1-seqAdd') # add another
name1 = 'dom=document.forms[0].name[0]'
age1 = 'dom=document.forms[0].age[0]'
name2 = 'dom=document.forms[0].name[1]'
age2 = 'dom=document.forms[0].age[1]'
browser.type(name1, 'name-changed')
browser.type(age1, '24')
browser.type(name2, 'name2')
browser.type(age2, '26')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField6@name'), 'name')
self.assertEqual(browser.get_value('deformField6'), 'name-changed')
self.assertEqual(browser.get_attribute('deformField7@name'), 'age')
self.assertEqual(browser.get_value('deformField7'), '24')
self.assertEqual(browser.get_attribute('deformField9@name'), 'name')
self.assertEqual(browser.get_value('deformField9'), 'name2')
self.assertEqual(browser.get_attribute('deformField10@name'), 'age')
self.assertEqual(browser.get_value('deformField10'), '26')
captured = browser.get_text('css=#captured')
captured = eval(captured)
self.assertEqual(
captured,
{'people': [{'name': 'name-changed', 'age': 24},
{'name': 'name2', 'age': 26}]})
browser.click('deformField5-close') # remove the first mapping
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_attribute('deformField6@name'), 'name')
self.assertEqual(browser.get_value('deformField6'), 'name2')
self.assertEqual(browser.get_attribute('deformField7@name'), 'age')
self.assertEqual(browser.get_value('deformField7'), '26')
captured = browser.get_text('css=#captured')
captured = eval(captured)
self.assertEqual(
captured,
{'people': [{'name': 'name2', 'age': 26}]})
class SequenceOfMappingsWithInitialItem(Base, unittest.TestCase):
url = "/sequence_of_mappings_with_initial_item/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.deformProto'))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Person')
self.assertEqual(browser.get_attribute('css=#deformField6@name'),
'name')
self.assertEqual(browser.get_attribute('css=#deformField7@name'),
'age')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Person')
self.assertEqual(browser.get_text('css=#error-deformField6'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField7'),
'Required')
self.assertEqual(browser.get_text('css=#captured'), "None")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_add_one(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.type("dom=document.forms[0].name[0]", 'name0')
browser.type("dom=document.forms[0].age[0]", '23')
browser.type("dom=document.forms[0].name[1]", 'name1')
browser.type("dom=document.forms[0].age[1]", '25')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Person')
self.assertEqual(browser.get_attribute('css=#deformField6@name'),
'name')
self.assertEqual(browser.get_attribute('css=#deformField6@value'),
'name0')
self.assertEqual(browser.get_attribute('css=#deformField7@name'),
'age')
self.assertEqual(browser.get_attribute('css=#deformField7@value'),
'23')
self.assertEqual(browser.get_attribute('css=#deformField9@name'),
'name')
self.assertEqual(browser.get_attribute('css=#deformField9@value'),
'name1')
self.assertEqual(browser.get_attribute('css=#deformField10@name'),
'age')
self.assertEqual(browser.get_attribute('css=#deformField10@value'),
'25')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertEqual(eval(captured),
{'people': [{'name': 'name0', 'age': 23},
{'name': 'name1', 'age': 25}]}
)
class SequenceOfAutocompletes(Base, unittest.TestCase):
url = '/sequence_of_autocompletes/'
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Texts"))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Text')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Text')
self.assertEqual(browser.get_text('css=#captured'), "{'texts': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_two_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
added = 'dom=document.forms[0].text'
self.assertEqual(browser.get_attribute(added + '@class'),
'ui-autocomplete-input')
browser.type(added, 'bar')
browser.click('deformField1-seqAdd')
added = 'dom=document.forms[0].text[1]'
self.assertEqual(browser.get_attribute(added + '@class'),
'ui-autocomplete-input')
browser.type(added, 'baz')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'texts': [u'bar', u'baz']}")
class SequenceOfDateInputs(Base, unittest.TestCase):
url = '/sequence_of_dateinputs/'
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Dates"))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Date')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Date')
self.assertEqual(browser.get_text('css=#captured'), "{'dates': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_one_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
added = 'dom=document.forms[0].date'
browser.focus(added)
browser.click(added)
browser.click('link=6')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertTrue(captured.startswith(u"{'dates': [datetime.date"))
class SequenceOfConstrainedLength(Base, unittest.TestCase):
url = '/sequence_of_constrained_len/'
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("At Least 2"))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Name')
self.assertEqual(browser.get_text('css=#captured'), 'None')
# default 2 inputs rendered
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_value('deformField4'), '')
def test_add_and_remove(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Name')
self.assertTrue(browser.is_visible('deformField1-seqAdd'))
browser.type('deformField3', 'hello1')
browser.type('deformField4', 'hello2')
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.type('dom=document.forms[0].elements[6]', 'hello3')
browser.type('dom=document.forms[0].elements[7]', 'hello4')
self.assertFalse(browser.is_visible('deformField1-seqAdd'))
browser.click('deformField3-close')
self.assertTrue(browser.is_visible('deformField1-seqAdd'))
browser.click('deformField1-seqAdd')
self.assertFalse(browser.is_visible('deformField1-seqAdd'))
browser.type('dom=document.forms[0].elements[7]', 'hello5')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField3'), 'hello2')
self.assertEqual(browser.get_value('deformField4'), 'hello3')
self.assertEqual(browser.get_value('deformField5'), 'hello4')
self.assertEqual(browser.get_value('deformField6'), 'hello5')
self.assertFalse(browser.is_visible('deformField1-seqAdd'))
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'names': [u'hello2', u'hello3', u'hello4', u'hello5']}")
class SequenceOfRichTextWidgetTests(Base, unittest.TestCase):
url = "/sequence_of_richtext/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Texts"))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Text')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Text')
self.assertEqual(browser.get_text('css=#captured'), "{'texts': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_one_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.wait_for_condition(\
"selenium.browserbot.getCurrentWindow().document"
".getElementsByTagName('iframe')[0]", "10000")
browser.type('tinymce', 'yo')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'texts': [u'<p>yo</p>']}")
class SequenceOfMaskedTextInputs(Base, unittest.TestCase):
url = "/sequence_of_masked_textinputs/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Texts"))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Text')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_none_added(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Text')
self.assertEqual(browser.get_text('css=#captured'), "{'texts': []}")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_two_unfilled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField1-seqAdd')
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_one_filled(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
added = 'dom=document.forms[0].text'
browser.focus(added)
for key in '140118866':
browser.key_press(added, key)
time.sleep(.005)
browser.click("submit")
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured, "{'texts': [u'140-11-8866']}"
)
class SelectWidgetTests(Base, unittest.TestCase):
url = "/select/"
submit_selected_captured = (
"{'pepper': u'habanero'}",
"{'pepper': 'habanero'}",
)
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Pepper"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'pepper')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
options = browser.get_select_options('deformField1')
self.assertEqual(
options,
[u'- Select -', u'Habanero', u'Jalapeno', u'Chipotle'])
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Pepper"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'pepper')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_selected(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.select('deformField1', 'index=1')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_selected_index('deformField1'), '1')
captured = browser.get_text('css=#captured')
self.assertTrue(captured in self.submit_selected_captured)
class SelectWidgetWithSizeTests(SelectWidgetTests):
url = "/select_with_size/"
class SelectWidgetWithUnicodeTests(SelectWidgetTests):
url = '/select_with_unicode/'
submit_selected_captured = (
u"{'pepper': '\u30cf\u30d0\u30cd\u30ed'}",
u"{'pepper': u'\\u30cf\\u30d0\\u30cd\\u30ed'}",
)
class SelectWidgetMultipleTests(Base, unittest.TestCase):
url = '/select_with_multiple/'
def test_submit_selected(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
captured_default = "{'pepper': set([u'habanero', u'chipotle'])}"
browser.add_selection('deformField1', 'index=0')
browser.add_selection('deformField1', 'index=2')
browser.click('submit')
browser.wait_for_page_to_load("30000")
captured = browser.get_text('css=#captured')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(captured, captured_default)
class SelectWidgetIntegerTests(Base, unittest.TestCase):
url = '/select_integer/'
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Number"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'number')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
options = browser.get_select_options('deformField1')
self.assertEqual(
options,
[u'- Select -', u'Zero', u'One', u'Two'])
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Number"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'number')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_selected(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.select('deformField1', 'index=1')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_selected_index('deformField1'), '1')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'number': 0}")
class SelectWidgetWithOptgroupTest(Base, unittest.TestCase):
url = "/select_with_optgroup/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present('Musician'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'musician')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
options = browser.get_select_options('deformField1')
self.assertEqual(
options,
[u'Select your favorite musician',
u'Jimmy Page', u'Jimi Hendrix', u'Billy Cobham', u'John Bonham'])
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(int(browser.get_xpath_count('//optgroup')), 2)
def test_submit_selected(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.select('deformField1', 'index=1')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_selected_index('deformField1'), '1')
captured = browser.get_text('css=#captured')
# With or without "u"...
expected = ("{'musician': 'page'}", "{'musician': u'page'}")
self.assertTrue(captured in expected)
class SelectWidgetWithOptgroupAndLabelTest(SelectWidgetWithOptgroupTest):
url = "/select_with_optgroup_and_label_attributes/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present('Musician'))
self.assertEqual(browser.get_attribute('deformField1@name'), 'musician')
self.assertEqual(browser.get_selected_index('deformField1'), '0')
# We cannot test what the options look like because it depends
# on the browser.
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(int(browser.get_xpath_count('//optgroup')), 2)
def test_submit_selected(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.select('deformField1', 'index=1')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_selected_index('deformField1'), '1')
captured = browser.get_text('css=#captured')
expected = ("{'musician': 'page'}", "{'musician': u'page'}")
self.assertTrue(captured in expected)
class TextInputWidgetTests(Base, unittest.TestCase):
url = "/textinput/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Text"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'text')
self.assertEqual(browser.get_attribute("deformField1@type"), 'text')
self.assertEqual(browser.get_value("deformField1"), '')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'hello')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'hello')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'hello'}")
class MoneyInputWidgetTests(Base, unittest.TestCase):
url = "/money_input/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Greenbacks"))
self.assertEqual(browser.get_attribute("deformField1@name"),
'greenbacks')
self.assertEqual(browser.get_attribute("deformField1@type"), 'text')
self.assertEqual(browser.get_value("deformField1"), '0.00')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(captured, "{'greenbacks': Decimal('0.00')}")
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
browser.type('deformField1', '100')
browser.click('submit')
browser.wait_for_page_to_load("30000")
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(captured, "{'greenbacks': Decimal('100')}")
self.assertEqual(browser.get_value('deformField1'), '100')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
class TextInputWithCssClassWidgetTests(Base, unittest.TestCase):
url = "/textinput_with_css_class/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.deformWidgetWithStyle'))
class AutocompleteInputWidgetTests(Base, unittest.TestCase):
url = "/autocomplete_input/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Autocomplete Input Widget"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'text')
self.assertEqual(browser.get_attribute("deformField1@type"), 'text')
self.assertEqual(browser.get_value("deformField1"), '')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
browser.type('deformField1', 'bar')
browser.type_keys('deformField1', 'bar')
import time
time.sleep(.2)
self.assertTrue(browser.is_text_present('bar'))
self.assertTrue(browser.is_text_present('baz'))
browser.mouse_over("//html/body/ul/li/a") # hurrr, necessary
browser.click("//html/body/ul/li/a")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), u'bar')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'bar'}")
class AutocompleteRemoteInputWidgetTests(Base, unittest.TestCase):
url = "/autocomplete_remote_input/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present(
"Autocomplete Input Widget with Remote Data Source"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'text')
self.assertEqual(browser.get_attribute("deformField1@type"), 'text')
self.assertEqual(browser.get_value("deformField1"), '')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 't')
import time
time.sleep(.5)
browser.type_keys('deformField1', 't')
import time
time.sleep(.5)
self.assertTrue(browser.is_text_present('two'))
self.assertTrue(browser.is_text_present('three'))
browser.mouse_over("//html/body/ul/li/a")
browser.click("//html/body/ul/li/a")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), u'two')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'two'}")
class TextAreaWidgetTests(Base, unittest.TestCase):
url = "/textarea/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Text"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'text')
self.assertEqual(browser.get_attribute("deformField1@rows"), '10')
self.assertEqual(browser.get_attribute("deformField1@cols"), '60')
self.assertEqual(browser.get_value("deformField1"), '')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'hello')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), 'hello')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'hello'}"
)
class DelayedRichTextWidgetTests(Base, unittest.TestCase):
url = "/delayed_richtext/"
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('css=.tinymce-preload')
browser.wait_for_condition(\
"selenium.browserbot.getCurrentWindow().document"
".getElementsByTagName('iframe')[0]", "10000")
browser.type('tinymce', 'hello')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), '<p>hello</p>')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'<p>hello</p>'}"
)
class RichTextWidgetTests(Base, unittest.TestCase):
url = "/richtext/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Text"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'text')
self.assertEqual(browser.get_value("deformField1"), '')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, 'None')
def test_submit_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('tinymce', 'hello')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), '<p>hello</p>')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
"{'text': u'<p>hello</p>'}"
)
class RichTextWidgetInternationalized(Base, unittest.TestCase):
url = "/richtext_i18n/?_LOCALE_=ru"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Text"))
self.assertEqual(browser.get_attribute("deformField1_bold@title"),
u"Полужирный (Ctrl+B)")
class UnicodeEverywhereTests(Base, unittest.TestCase):
url = "/unicodeeverywhere/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
description=(u"子曰：「學而時習之，不亦說乎？有朋自遠方來，不亦樂乎？ "
u"人不知而不慍，不亦君子乎？」")
self.assertTrue(browser.is_text_present(u"По оживлённым берегам"))
self.assertEqual(browser.get_attribute("item-deformField1@title"),
description)
self.assertEqual(browser.get_attribute("css=label@title"),
description)
self.assertEqual(browser.get_attribute("deformField1@name"), 'field')
self.assertEqual(browser.get_value("deformField1"), u'☃')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'), u'☃')
captured = browser.get_text('css=#captured')
self.assertTrue(
captured in (
u"{'field': u'\\u2603'}", # py2
u"{'field': '\u2603'}", # py3
)
)
class SequenceOfSequences(Base, unittest.TestCase):
url = "/sequence_of_sequences/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('deformField1-addtext'),
'Add Names and Titles')
self.assertEqual(browser.get_text('deformField6-addtext'),
'Add Name and Title')
self.assertEqual(browser.get_value('deformField21'), '')
self.assertEqual(browser.get_value('deformField22'), '')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_add_two(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click('deformField6-seqAdd')
browser.type('dom=document.forms[0].name[0]', 'name')
browser.type('dom=document.forms[0].title[0]', 'title')
browser.type('dom=document.forms[0].name[1]', 'name')
browser.type('dom=document.forms[0].title[1]', 'title')
browser.type('dom=document.forms[0].name[2]', 'name')
browser.type('dom=document.forms[0].title[2]', 'title')
browser.click("submit")
browser.wait_for_page_to_load("30000")
captured = eval(browser.get_text('css=#captured'))
self.assertEqual(captured,
{'names_and_titles_sequence': [
[{'name': u'name', 'title': u'title'},
{'name': u'name', 'title': u'title'}],
[{'name': u'name', 'title': u'title'}]]}
)
def test_remove_from_nested_mapping_sequence(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.click("document.getElementsByClassName('deformClosebutton')[2]")
self.assertFalse(browser.is_element_present('dom=document.forms[0].name[1]'))
class SequenceOrderable(Base, unittest.TestCase):
url = "/sequence_orderable/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.deformProto'))
self.assertEqual(browser.get_text('deformField1-addtext'),'Add Person')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_complex_interaction(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd') # add one
# A single item shouldn't have an active reorder button.
self.assertEqual(int(browser.get_xpath_count(
"//span[@class='deformOrderbutton deformOrderbuttonActive']")), 0)
browser.click('deformField1-seqAdd') # add a second
# Now there should be 2 active reorder buttons.
self.assertEqual(int(browser.get_xpath_count(
"//span[@class='deformOrderbutton deformOrderbuttonActive']")), 2)
browser.click('deformField1-seqAdd') # add a third
browser.type("document.forms[0].name[0]", 'Name1')
browser.type("document.forms[0].age[0]", '11')
browser.type("document.forms[0].name[1]", 'Name2')
browser.type("document.forms[0].age[1]", '22')
browser.type("document.forms[0].name[2]", 'Name3')
browser.type("document.forms[0].age[2]", '33')
order1_id = browser.get_attribute(
"document.getElementsByClassName('deformOrderbutton')[0]@id")
order2_id = browser.get_attribute(
"document.getElementsByClassName('deformOrderbutton')[1]@id")
order3_id = browser.get_attribute(
"document.getElementsByClassName('deformOrderbutton')[2]@id")
# Determine the number of pixels between two order buttons.
# We'll use this value later in calls to drag_and_drop().
order1_top = int(browser.get_element_position_top(order1_id))
order2_top = int(browser.get_element_position_top(order2_id))
vertical_offset = order2_top - order1_top
# Move item 1 down one slot (actually a little more than 1 is
# needed to trigger jQuery Sortable when dragging down, so use 1.5).
browser.drag_and_drop( order1_id, "0,+%s" % (1.5 * vertical_offset))
# Move item 3 up two
browser.drag_and_drop( order3_id, "0,-%s" % (2 * vertical_offset))
browser.click("submit")
browser.wait_for_page_to_load("30000")
# Original 3 items should now be in reverse order: 3, 2, 1
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('document.forms[0].name[0]'),
'Name3')
self.assertEqual(browser.get_value('document.forms[0].age[0]'),
'33')
self.assertEqual(browser.get_value('document.forms[0].name[1]'),
'Name2')
self.assertEqual(browser.get_value('document.forms[0].age[1]'),
'22')
self.assertEqual(browser.get_value('document.forms[0].name[2]'),
'Name1')
self.assertEqual(browser.get_value('document.forms[0].age[2]'),
'11')
captured = browser.get_text('css=#captured')
captured = eval(captured)
self.assertEqual(captured, {'people': [
{'name': 'Name3', 'age': 33},
{'name': 'Name2', 'age': 22},
{'name': 'Name1', 'age': 11},
]})
class TextAreaCSVWidgetTests(Base, unittest.TestCase):
url = "/textareacsv/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Csv"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'csv')
self.assertEqual(browser.get_attribute("deformField1@rows"), '10')
self.assertEqual(browser.get_attribute("deformField1@cols"), '60')
self.assertEqual(browser.get_value("deformField1"),
'1,hello,4.5\n2,goodbye,5.5')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_default(self):
from decimal import Decimal
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'),
'1,hello,4.5\n2,goodbye,5.5')
captured = browser.get_text('css=#captured')
self.assertEqual(
eval(captured),
({'csv': [(1, u'hello', Decimal("4.5")),
(2, u'goodbye', Decimal("5.5"))]
}))
def test_submit_line_error(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1,2,3\nwrong')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertSimilarRepr(browser.get_text(error_node),
('line 2: {\'1\': u\'"[\\\'wrong\\\']" has an '
'incorrect number of elements (expected 3, was 1)\'}')
)
self.assertEqual(browser.get_value('deformField1'), '1,2,3\nwrong')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, "None")
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_value('deformField1'), '')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, "None")
class TextInputCSVWidgetTests(Base, unittest.TestCase):
url = "/textinputcsv/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_text_present("Csv"))
self.assertEqual(browser.get_attribute("deformField1@name"), 'csv')
self.assertEqual(browser.get_value("deformField1"),
'1,hello,4.5')
self.assertEqual(browser.get_text('css=.req'), '*')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_default(self):
from decimal import Decimal
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_value('deformField1'),
'1,hello,4.5')
captured = browser.get_text('css=#captured')
self.assertEqual(
eval(captured),
({'csv': (1, u'hello', Decimal("4.5"))}))
def test_submit_line_error(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1,2,wrong')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertSimilarRepr(
browser.get_text(error_node),
u'{\'2\': u\'"wrong" is not a number\'}'
)
self.assertEqual(browser.get_value('deformField1'), '1,2,wrong')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, "None")
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
error_node = 'css=#error-deformField1'
self.assertEqual(browser.get_text(error_node), 'Required')
self.assertEqual(browser.get_value('deformField1'), '')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, "None")
class WidgetAdapterTests(TextAreaCSVWidgetTests):
url = "/widget_adapter/"
class MultipleFormsTests(Base, unittest.TestCase):
url = "/multiple_forms/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_attribute("deformField1@name"), 'name1')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute("deformField3@name"), 'name2')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_first(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'hey')
browser.click('form1submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('deformField1'), 'hey')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
u"{'name1': u'hey'}")
def test_submit_second(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField3', 'hey')
browser.click('form2submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_value('deformField3'), 'hey')
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
u"{'name2': u'hey'}"
)
class RequireOneFieldOrAnotherTests(Base, unittest.TestCase):
url = "/require_one_or_another/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_attribute("deformField1@name"), 'one')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute("deformField2@name"), 'two')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_none_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required if two is not supplied')
self.assertEqual(browser.get_text('css=#error-deformField2'),
'Required if one is not supplied')
captured = browser.get_text('css=#captured')
self.assertEqual(captured, u"None")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
def test_submit_one_filled(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'one')
browser.click('submit')
browser.wait_for_page_to_load("30000")
captured = browser.get_text('css=#captured')
self.assertSimilarRepr(
captured,
u"{'two': u'', 'one': u'one'}"
)
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
class AjaxFormTests(Base, unittest.TestCase):
url = "/ajaxform/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
self.assertTrue(browser.is_element_present('css=#req-deformField1'))
self.assertTrue(browser.is_element_present('css=#req-deformField3'))
self.assertTrue(browser.is_element_present('css=#req-deformField4'))
self.assertEqual(browser.get_text('css=#captured'), 'None')
self.assertEqual(browser.get_value('deformField1'), '')
self.assertEqual(browser.get_attribute('deformField1@name'), 'number')
self.assertEqual(browser.get_value('deformField3'), '')
self.assertEqual(browser.get_attribute('deformField3@name'), 'name')
self.assertEqual(browser.get_value('deformField4'), '')
self.assertEqual(browser.get_attribute('deformField4@name'), 'year')
self.assertEqual(browser.get_value('deformField4-month'), '')
self.assertEqual(browser.get_attribute('deformField4-month@name'),
'month')
self.assertEqual(browser.get_value('deformField4-day'), '')
self.assertEqual(browser.get_attribute('deformField4-day@name'),
'day')
self.assertEqual(browser.get_text('css=#captured'), 'None')
def test_submit_empty(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('submit')
browser.wait_for_condition(
'selenium.browserbot.getCurrentWindow().jQuery.active == 0',
"30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
self.assertEqual(browser.get_text('css=#captured'),
'None')
def test_submit_invalid(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'notanumber')
browser.click('submit')
browser.wait_for_condition(
'selenium.browserbot.getCurrentWindow().jQuery.active == 0',
"30000")
self.assertTrue(browser.is_element_present('css=.errorMsgLbl'))
self.assertEqual(browser.get_text('css=#error-deformField1'),
'"notanumber" is not a number')
self.assertEqual(browser.get_text('css=#error-deformField3'),
'Required')
self.assertEqual(browser.get_text('css=#error-deformField4'),
'Required')
self.assertEqual(browser.get_text('css=#captured'),
'None')
def test_submit_success(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1')
browser.type('deformField3', 'name')
browser.type('deformField4', '2010')
browser.type('deformField4-month', '1')
browser.type('deformField4-day', '1')
browser.type('deformField5', 'text')
browser.click('submit')
browser.wait_for_condition(
'selenium.browserbot.getCurrentWindow().jQuery.active == 0',
"30000")
self.assertEqual(browser.get_text('css=#thanks'), 'Thanks!')
class RedirectingAjaxFormTests(AjaxFormTests):
url = "/ajaxform_redirect/"
def test_submit_success(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', '1')
browser.type('deformField3', 'name')
browser.type('deformField4', '2010')
browser.type('deformField4-month', '1')
browser.type('deformField4-day', '1')
browser.click('submit')
time.sleep(1)
## browser.wait_for_condition(
## 'selenium.browserbot.getCurrentWindow().jQuery.active == 0',
## "30000")
location = browser.get_location()
self.assertTrue(location.endswith('thanks.html'))
class TextInputMaskTests(Base, unittest.TestCase):
url = "/text_input_masks/"
def test_render_default(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_attribute("deformField1@name"), 'ssn')
self.assertEqual(browser.get_value('deformField1'), '___-__-____')
self.assertEqual(browser.get_attribute("deformField2@name"), 'date')
self.assertEqual(browser.get_value('deformField2'), '')
self.assertFalse(browser.is_element_present('css=.errorMsgLbl'))
def test_type_bad_input(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
browser.key_press('deformField1', 'a')
time.sleep(.005)
browser.focus('deformField2')
browser.key_press('deformField2', 'a')
time.sleep(.005)
self.assertTrue(
browser.get_value('deformField1') in ('', '___-__-____'))
self.assertTrue(
browser.get_value('deformField2') in ('', '__/__/____'))
def test_submit_success(self):
import time
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.focus('deformField1')
for key in '140118866':
browser.key_press('deformField1', key)
time.sleep(.005)
browser.focus('deformField2')
for key in '10102010':
browser.key_press('deformField2', key)
time.sleep(.005)
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertSimilarRepr(
browser.get_text('css=#captured'),
u"{'date': u'10/10/2010', 'ssn': u'140-11-8866'}"
)
class MultipleErrorMessagesInMappingTest(Base, unittest.TestCase):
url = "/multiple_error_messages_mapping/"
def test_it(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.type('deformField1', 'whatever')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('error-deformField1'), 'Error 1')
self.assertEqual(browser.get_text('error-deformField1-1'), 'Error 2')
self.assertEqual(browser.get_text('error-deformField1-2'), 'Error 3')
class MultipleErrorMessagesInSequenceTest(Base, unittest.TestCase):
url = "/multiple_error_messages_seq/"
def test_it(self):
browser.open(self.url)
browser.wait_for_page_to_load("30000")
browser.click('deformField1-seqAdd')
browser.type('dom=document.forms[0].field', 'whatever')
browser.click('submit')
browser.wait_for_page_to_load("30000")
self.assertEqual(browser.get_text('error-deformField3'), 'Error 1')
self.assertEqual(browser.get_text('error-deformField3-1'), 'Error 2')
self.assertEqual(browser.get_text('error-deformField3-2'), 'Error 3')
if __name__ == '__main__':
setUpModule()
try:
unittest.main()
finally:
tearDownModule()
| 46.298571
| 113
| 0.648716
| 14,499
| 129,636
| 5.594938
| 0.042831
| 0.084072
| 0.145363
| 0.165185
| 0.9063
| 0.89459
| 0.870687
| 0.847241
| 0.830463
| 0.812059
| 0
| 0.029551
| 0.210628
| 129,636
| 2,799
| 114
| 46.315113
| 0.763161
| 0.012566
| 0
| 0.781646
| 0
| 0.001978
| 0.223113
| 0.050948
| 0
| 0
| 0
| 0
| 0.35443
| 1
| 0.071598
| false
| 0.009494
| 0.005934
| 0
| 0.127373
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
12715b72398f151f853661c3075f7a428379bb2c
| 11,249
|
py
|
Python
|
parFinder.py
|
cooltheo17/BinanceBot
|
910cf5717d1f18a968ab8179a1dd5a6286e1dc60
|
[
"MIT"
] | 6
|
2021-03-09T20:27:49.000Z
|
2022-02-17T12:29:47.000Z
|
parFinder.py
|
cooltheo17/BinanceBot
|
910cf5717d1f18a968ab8179a1dd5a6286e1dc60
|
[
"MIT"
] | 2
|
2021-03-12T03:35:31.000Z
|
2021-03-31T10:48:43.000Z
|
parFinder.py
|
cooltheo17/BinanceBot
|
910cf5717d1f18a968ab8179a1dd5a6286e1dc60
|
[
"MIT"
] | 2
|
2021-03-05T19:16:38.000Z
|
2021-03-09T20:27:53.000Z
|
#Import libraries
import numpy
import talib
import config
from numpy import genfromtxt
#--------------------------------
#Perform calculations for bitcoin
#--------------------------------
print("(Time period: 10 days)\n")
my_data = genfromtxt('PARA_BTC_15M.csv', delimiter=',')
close_btc = my_data[:,4]
i=len(close_btc)-1
#Calculate macd and macd signal values
allIndexes=talib.MACD(close_btc, fastperiod=12, slowperiod=26, signalperiod=9)
macd=allIndexes[0]
macdsignal=allIndexes[1]
#print table titles
print('{:-^{width}}'.format('', width=34))
print("|"+'{: ^{width}}'.format('\033[38;5;208m- BTC -\033[0m', width=47)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Calculate alpha profit (if we just invested and left the money)
balance=100
alphaInvestment=round((balance/close_btc[0]*close_btc[i])-balance,2)
#print alpha profit
print("|"+'{: ^{width}}'.format('Alpha profit: '+str(alphaInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Buy bitcoin at buying point and sell at selling point (Simple MACD)
balance=100
btcAmount=0
for x in range(1, i):
if(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]):
btcAmount = balance/close_btc[x]
balance = 0
elif(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]) and btcAmount != 0:
balance = btcAmount * close_btc[x]
btcAmount = 0
#Convert BTC to usdt
if(btcAmount != 0):
balance = btcAmount * close_btc[i]
simpleInvestment=round(balance-100,2)
#print simple mac profit
print("|"+'{: ^{width}}'.format('Simple MACD profit: '+str(simpleInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Buy bitcoin at buying point and sell at selling point
# with take profits and stop limits (Complex MACD)
balance=100
btcAmount=0
btcPrice=0
takeProfit=5
bestParameter=0
bestBalance=0
for p in range(-6,0):
for x in range(1, i):
if(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]):
btcAmount = balance/close_btc[x]
btcPrice = close_btc[x]
balance = 0
elif(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]) and btcAmount != 0:
balance = btcAmount * close_btc[x]
btcAmount = 0
if(btcAmount > 0):
percentageChange = 100*(close_btc[x] - btcPrice)/btcPrice
if (percentageChange < p):
balance = btcAmount * close_btc[x]
btcAmount = 0
if(btcAmount != 0):
balance = btcAmount * close_btc[i]
simpleInvestment=round(balance-100,2)
if(balance > bestBalance):
bestBalance = balance
bestParameter = p
complexInvestment=round(bestBalance-100,2)
print("|"+'{: ^{width}}'.format('Complex MACD profit: '+str(complexInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
print("|"+'{: ^{width}}'.format('Stop Limit: '+str(bestParameter)+" %", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#--------------------------------
#Perform calculations for etherium
#--------------------------------
my_data = genfromtxt('PARA_ETH_15M.csv', delimiter=',')
close_eth = my_data[:,4]
#Calculate macd and macd signal values
allIndexes=talib.MACD(close_eth, fastperiod=12, slowperiod=26, signalperiod=9)
macd=allIndexes[0]
macdsignal=allIndexes[1]
#print table titles
print("|"+'{: ^{width}}'.format('\033[38;5;75m- ETH -\033[0m', width=46)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Calculate alpha profit (if we just invested and left the money)
balance=100
alphaInvestment=round((balance/close_eth[0]*close_eth[i])-balance,2)
print("|"+'{: ^{width}}'.format('Alpha profit: '+str(alphaInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
balance=100
ethAmount=0
for x in range(1, i):
if(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]):
ethAmount = balance/close_eth[x]
balance = 0
elif(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]) and ethAmount != 0:
balance = ethAmount * close_eth[x]
ethAmount = 0
#Convert ETH to usdt
if(ethAmount != 0):
balance = ethAmount * close_eth[i]
simpleInvestment=round(balance-100,2)
#print simple mac profit
print("|"+'{: ^{width}}'.format('Simple MACD profit: '+str(simpleInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Buy ethereum at buying point and sell at selling point
# with take profits and stop limits (Complex MACD)
balance=100
ethAmount=0
ethPrice=0
bestParameter=0
bestBalance=0
for p in range(-6,0):
for x in range(1, i):
if(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]):
ethAmount = balance/close_eth[x]
ethPrice = close_eth[x]
balance = 0
elif(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]) and ethAmount != 0:
balance = ethAmount * close_eth[x]
ethAmount = 0
if(ethAmount > 0):
percentageChange = 100*(close_eth[x] - ethPrice)/ethPrice
if (percentageChange < p):
balance = ethAmount * close_eth[x]
ethAmount = 0
if(ethAmount != 0):
balance = ethAmount * close_eth[i]
simpleInvestment=round(balance-100,2)
if(balance > bestBalance):
bestBalance = balance
bestParameter = p
complexInvestment=round(bestBalance-100,2)
print("|"+'{: ^{width}}'.format('Complex MACD profit: '+str(complexInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
print("|"+'{: ^{width}}'.format('Stop Limit: '+str(bestParameter)+" %", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#--------------------------------
#Perform calculations for BNB
#--------------------------------
my_data = genfromtxt('PARA_BNB_15M.csv', delimiter=',')
close_bnb = my_data[:,4]
#Calculate macd and macd signal values
allIndexes=talib.MACD(close_bnb, fastperiod=12, slowperiod=26, signalperiod=9)
macd=allIndexes[0]
macdsignal=allIndexes[1]
#print table titles
print("|"+'{: ^{width}}'.format('\033[38;5;226m- BNB -\033[0m', width=47)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Calculate alpha profit (if we just invested and left the money)
balance=100
alphaInvestment=round((balance/close_bnb[0]*close_bnb[i])-balance,2)
print("|"+'{: ^{width}}'.format('Alpha profit: '+str(alphaInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
balance=100
bnbAmount=0
for x in range(1, i):
if(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]):
bnbAmount = balance/close_bnb[x]
balance = 0
elif(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]) and bnbAmount != 0:
balance = bnbAmount * close_bnb[x]
bnbAmount = 0
#Convert BNB to usdt
if(bnbAmount != 0):
balance = bnbAmount * close_bnb[i]
simpleInvestment=round(balance-100,2)
#print simple mac profit
print("|"+'{: ^{width}}'.format('Simple MACD profit: '+str(simpleInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Buy BNB at buying point and sell at selling point
# with take profits and stop limits (Complex MACD)
balance=100
bnbAmount=0
bnbPrice=0
bestParameter=0
bestBalance=0
for p in range(-6,0):
for x in range(1, i):
if(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]):
bnbAmount = balance/close_bnb[x]
bnbPrice = close_bnb[x]
balance = 0
elif(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]) and bnbAmount != 0:
balance = bnbAmount * close_bnb[x]
bnbAmount = 0
if(bnbAmount > 0):
percentageChange = 100*(close_bnb[x] - bnbPrice)/bnbPrice
if (percentageChange < p):
balance = bnbAmount * close_bnb[x]
bnbAmount = 0
if(bnbAmount != 0):
balance = bnbAmount * close_bnb[i]
simpleInvestment=round(balance-100,2)
if(balance > bestBalance):
bestBalance = balance
bestParameter = p
complexInvestment=round(bestBalance-100,2)
print("|"+'{: ^{width}}'.format('Complex MACD profit: '+str(complexInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
print("|"+'{: ^{width}}'.format('Stop Limit: '+str(bestParameter)+" %", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#--------------------------------
#Perform calculations for LTC
#--------------------------------
my_data = genfromtxt('PARA_LTC_15M.csv', delimiter=',')
close_ltc = my_data[:,4]
#Calculate macd and macd signal values
allIndexes=talib.MACD(close_ltc, fastperiod=12, slowperiod=26, signalperiod=9)
macd=allIndexes[0]
macdsignal=allIndexes[1]
#print table titles
print("|"+'{: ^{width}}'.format('\033[38;5;122m- LTC -\033[0m', width=47)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Calculate alpha profit (if we just invested and left the money)
balance=100
alphaInvestment=round((balance/close_ltc[0]*close_ltc[i])-balance,2)
print("|"+'{: ^{width}}'.format('Alpha profit: '+str(alphaInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
balance=100
ltcAmount=0
for x in range(1, i):
if(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]):
ltcAmount = balance/close_ltc[x]
balance = 0
elif(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]) and ltcAmount != 0:
balance = ltcAmount * close_ltc[x]
ltcAmount = 0
#Convert LTC to usdt
if(ltcAmount != 0):
balance = ltcAmount * close_ltc[i]
simpleInvestment=round(balance-100,2)
#print simple mac profit
print("|"+'{: ^{width}}'.format('Simple MACD profit: '+str(simpleInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
#Buy litecoin at buying point and sell at selling point
# with take profits and stop limits (Complex MACD)
balance=100
ltcAmount=0
ltcPrice=0
bestParameter=0
bestBalance=0
for p in range(-6,0):
for x in range(1, i):
if(macd[x] < macdsignal[x]) and (macd[x-1] > macdsignal[x-1]):
ltcAmount = balance/close_ltc[x]
ltcPrice = close_ltc[x]
balance = 0
elif(macd[x] > macdsignal[x]) and (macd[x-1] < macdsignal[x-1]) and ltcAmount != 0:
balance = ltcAmount * close_ltc[x]
ltcAmount = 0
if(ltcAmount > 0):
percentageChange = 100*(close_ltc[x] - ltcPrice)/ltcPrice
if (percentageChange < p):
balance = ltcAmount * close_ltc[x]
ltcAmount = 0
if(ltcAmount != 0):
balance = ltcAmount * close_ltc[i]
simpleInvestment=round(balance-100,2)
if(balance > bestBalance):
bestBalance = balance
bestParameter = p
complexInvestment=round(bestBalance-100,2)
print("|"+'{: ^{width}}'.format('Complex MACD profit: '+str(complexInvestment)+" $", width=32)+"|")
print("+"+'{:-^{width}}'.format('', width=32)+"+")
print("|"+'{: ^{width}}'.format('Stop Limit: '+str(bestParameter)+" %", width=32)+"|")
print('{:-^{width}}'.format('', width=34))
print("")
| 33.679641
| 103
| 0.603165
| 1,422
| 11,249
| 4.722925
| 0.082982
| 0.061048
| 0.097677
| 0.065664
| 0.859887
| 0.854973
| 0.849613
| 0.849613
| 0.849613
| 0.849613
| 0
| 0.042315
| 0.182772
| 11,249
| 333
| 104
| 33.780781
| 0.688241
| 0.135479
| 0
| 0.781659
| 0
| 0
| 0.110824
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.017467
| 0
| 0.017467
| 0.187773
| 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
|
d61701b79044f4cd89c4e657d88c5bccaca5e979
| 57
|
py
|
Python
|
python/github_com/TheThingsNetwork/api/monitor/__init__.py
|
LukasHabring/api
|
9e3da3462f14dab4c45fa38b03335e85e1970833
|
[
"MIT"
] | 14
|
2017-07-14T16:11:54.000Z
|
2021-11-16T12:35:37.000Z
|
python/github_com/TheThingsNetwork/api/monitor/__init__.py
|
LukasHabring/api
|
9e3da3462f14dab4c45fa38b03335e85e1970833
|
[
"MIT"
] | 34
|
2017-07-14T15:15:13.000Z
|
2021-08-18T10:08:10.000Z
|
python/github_com/TheThingsNetwork/api/monitor/__init__.py
|
LukasHabring/api
|
9e3da3462f14dab4c45fa38b03335e85e1970833
|
[
"MIT"
] | 12
|
2017-07-25T16:13:16.000Z
|
2021-05-08T07:21:50.000Z
|
from monitor_pb2_grpc import *
from monitor_pb2 import *
| 19
| 30
| 0.824561
| 9
| 57
| 4.888889
| 0.555556
| 0.5
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 0.140351
| 57
| 2
| 31
| 28.5
| 0.857143
| 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
|
c3a18814de8a1308131f358d096bfea85aed2c83
| 11,917
|
py
|
Python
|
e/mail-relay/web/apps/mail/migrations/0034_auto_20160127_1139.py
|
zhouli121018/nodejsgm
|
0ccbc8acf61badc812f684dd39253d55c99f08eb
|
[
"MIT"
] | null | null | null |
e/mail-relay/web/apps/mail/migrations/0034_auto_20160127_1139.py
|
zhouli121018/nodejsgm
|
0ccbc8acf61badc812f684dd39253d55c99f08eb
|
[
"MIT"
] | 18
|
2020-06-05T18:17:40.000Z
|
2022-03-11T23:25:21.000Z
|
e/mail-relay/web/apps/mail/migrations/0034_auto_20160127_1139.py
|
zhouli121018/nodejsgm
|
0ccbc8acf61badc812f684dd39253d55c99f08eb
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('mail', '0033_auto_20160127_0958'),
]
operations = [
migrations.AddField(
model_name='attachmentblacklist',
name='creater',
field=models.ForeignKey(related_name='creater10', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='attachmentblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='attachmentblacklist',
name='operater',
field=models.ForeignKey(related_name='operater10', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='customkeywordblacklist',
name='creater',
field=models.ForeignKey(related_name='creater8', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='customkeywordblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='customkeywordblacklist',
name='operater',
field=models.ForeignKey(related_name='operater8', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='invalidmail',
name='creater',
field=models.ForeignKey(related_name='creater6', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='invalidmail',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='invalidmail',
name='operater',
field=models.ForeignKey(related_name='operater6', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='invalidsenderwhitelist',
name='creater',
field=models.ForeignKey(related_name='creater12', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='invalidsenderwhitelist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='invalidsenderwhitelist',
name='operater',
field=models.ForeignKey(related_name='operater12', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='keywordblacklist',
name='creater',
field=models.ForeignKey(related_name='creater3', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='keywordblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='keywordblacklist',
name='operater',
field=models.ForeignKey(related_name='operater3', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='recipientblacklist',
name='creater',
field=models.ForeignKey(related_name='creater7', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='recipientblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='recipientblacklist',
name='operater',
field=models.ForeignKey(related_name='operater7', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='recipientwhitelist',
name='creater',
field=models.ForeignKey(related_name='creater15', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='recipientwhitelist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='recipientwhitelist',
name='operater',
field=models.ForeignKey(related_name='operater15', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='senderblacklist',
name='creater',
field=models.ForeignKey(related_name='creater5', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='senderblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='senderblacklist',
name='operater',
field=models.ForeignKey(related_name='operater5', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='senderwhitelist',
name='creater',
field=models.ForeignKey(related_name='creater11', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='senderwhitelist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='senderwhitelist',
name='operater',
field=models.ForeignKey(related_name='operater11', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='spfchecklist',
name='creater',
field=models.ForeignKey(related_name='creater13', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='spfchecklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='spfchecklist',
name='operater',
field=models.ForeignKey(related_name='operater13', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='subjectkeywordblacklist',
name='creater',
field=models.ForeignKey(related_name='creater2', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='subjectkeywordblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='subjectkeywordblacklist',
name='operater',
field=models.ForeignKey(related_name='operater2', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='subjectkeywordwhitelist',
name='creater',
field=models.ForeignKey(related_name='creater4', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='subjectkeywordwhitelist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='subjectkeywordwhitelist',
name='operater',
field=models.ForeignKey(related_name='operater4', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='tempsenderblacklist',
name='creater',
field=models.ForeignKey(related_name='creater14', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='tempsenderblacklist',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='validmailsuffix',
name='creater',
field=models.ForeignKey(related_name='creater9', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AddField(
model_name='validmailsuffix',
name='operate_time',
field=models.DateTimeField(auto_now=True, verbose_name='\u6700\u540e\u64cd\u4f5c\u65e5\u671f', null=True),
),
migrations.AddField(
model_name='validmailsuffix',
name='operater',
field=models.ForeignKey(related_name='operater9', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AlterField(
model_name='domainblacklist',
name='creater',
field=models.ForeignKey(related_name='creater1', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AlterField(
model_name='domainblacklist',
name='operater',
field=models.ForeignKey(related_name='operater1', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
migrations.AlterField(
model_name='tempsenderblacklist',
name='operater',
field=models.ForeignKey(related_name='operater14', on_delete=django.db.models.deletion.SET_NULL, blank=True, to=settings.AUTH_USER_MODEL, null=True),
),
]
| 50.071429
| 161
| 0.649744
| 1,278
| 11,917
| 5.865415
| 0.078247
| 0.052828
| 0.103255
| 0.147679
| 0.927161
| 0.927161
| 0.921025
| 0.761873
| 0.722385
| 0.722385
| 0
| 0.032314
| 0.228749
| 11,917
| 237
| 162
| 50.2827
| 0.783266
| 0.001762
| 0
| 0.822511
| 0
| 0
| 0.165209
| 0.067009
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.017316
| 0
| 0.030303
| 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
|
c3b34ea36848776b5e42f9801cbc374a6cec2634
| 117
|
py
|
Python
|
app/agency/api/__init__.py
|
joelbcastillo/NYCOpenRecords
|
001dfa21cc33d75a9067cae78752c5ba5734718b
|
[
"Apache-2.0"
] | 37
|
2016-01-21T18:33:56.000Z
|
2021-10-24T01:43:20.000Z
|
app/agency/api/__init__.py
|
CityOfNewYork/NYCOpenRecords
|
476a236a573e6f3a2f96c6537a30ee27b2bd3a2b
|
[
"Apache-2.0"
] | 179
|
2016-01-21T21:33:31.000Z
|
2022-02-15T21:31:35.000Z
|
app/agency/api/__init__.py
|
joelbcastillo/NYCOpenRecords
|
001dfa21cc33d75a9067cae78752c5ba5734718b
|
[
"Apache-2.0"
] | 13
|
2017-05-19T17:27:31.000Z
|
2020-07-05T00:55:29.000Z
|
from flask import Blueprint
agency_api_blueprint = Blueprint('agency_api_blueprint', __name__)
from . import views
| 19.5
| 66
| 0.820513
| 15
| 117
| 5.866667
| 0.533333
| 0.340909
| 0.409091
| 0.613636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119658
| 117
| 5
| 67
| 23.4
| 0.854369
| 0
| 0
| 0
| 0
| 0
| 0.17094
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 8
|
c3d4b2106b127548636ac07966c8d05e21f896b5
| 77
|
py
|
Python
|
numeric_differentiation/__init__.py
|
SeanMatthewNolan/algorithm_sandbox
|
07e5f4880f4cdbea99f3722ba3c898ea95d8ba13
|
[
"MIT"
] | null | null | null |
numeric_differentiation/__init__.py
|
SeanMatthewNolan/algorithm_sandbox
|
07e5f4880f4cdbea99f3722ba3c898ea95d8ba13
|
[
"MIT"
] | null | null | null |
numeric_differentiation/__init__.py
|
SeanMatthewNolan/algorithm_sandbox
|
07e5f4880f4cdbea99f3722ba3c898ea95d8ba13
|
[
"MIT"
] | null | null | null |
from . import finite_step
from . import complex_step
from . import jacobians
| 19.25
| 26
| 0.805195
| 11
| 77
| 5.454545
| 0.545455
| 0.5
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155844
| 77
| 3
| 27
| 25.666667
| 0.923077
| 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
|
c3e7d2f4dc51ef34a8e0dbdae736735be667c681
| 103
|
py
|
Python
|
torch_chemistry/utils.py
|
0h-n0/pytorch_chemistry
|
14ca01ab2a30728016ce6c6793f119438a09ade5
|
[
"MIT"
] | 7
|
2019-12-21T12:36:20.000Z
|
2022-01-15T11:05:25.000Z
|
torch_chemistry/utils.py
|
0h-n0/pytorch-chemistry
|
14ca01ab2a30728016ce6c6793f119438a09ade5
|
[
"MIT"
] | null | null | null |
torch_chemistry/utils.py
|
0h-n0/pytorch-chemistry
|
14ca01ab2a30728016ce6c6793f119438a09ade5
|
[
"MIT"
] | 1
|
2020-11-05T09:33:18.000Z
|
2020-11-05T09:33:18.000Z
|
from pathlib import Path
def to_Path(path: str) -> Path:
return Path(path).expanduser().resolve()
| 20.6
| 44
| 0.708738
| 15
| 103
| 4.8
| 0.666667
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15534
| 103
| 4
| 45
| 25.75
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 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
|
61627b17b2c83d6d79b14e59db3b9c5acdcf3f61
| 25,319
|
py
|
Python
|
experiments/flights/query_flight.py
|
qingzma/DBEstClient
|
d2cdf51bc3c69e50bcf4d1d516673b7d20843c16
|
[
"BSD-2-Clause"
] | 11
|
2019-12-24T02:39:35.000Z
|
2022-03-21T22:39:41.000Z
|
experiments/flights/query_flight.py
|
Forever-MrX/DBEstClient
|
d2cdf51bc3c69e50bcf4d1d516673b7d20843c16
|
[
"BSD-2-Clause"
] | 4
|
2019-12-09T09:48:17.000Z
|
2021-07-07T02:58:26.000Z
|
experiments/flights/query_flight.py
|
qingzma/DBEstClient
|
d2cdf51bc3c69e50bcf4d1d516673b7d20843c16
|
[
"BSD-2-Clause"
] | 8
|
2019-11-08T02:10:37.000Z
|
2022-03-21T22:42:46.000Z
|
#
# Created by Qingzhi Ma on Thu Jun 04 2020
#
# Copyright (c) 2020 Department of Computer Science, University of Warwick
# Copyright 2020 Qingzhi Ma
#
# 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.
#
# SELECT unique_carrier, COUNT(dep_delay) FROM flights GROUP BY unique_carrier;
# hive -e "SELECT unique_carrier, COUNT(*) FROM flights GROUP BY unique_carrier" > flights_group.csv
# hive -e "SELECT unique_carrier, AVG(dep_delay) FROM flights WHERE distance >= 300 AND distance <= 1000 GROUP BY unique_carrier" > flights_avg1.csv
# hive -e "SELECT unique_carrier, AVG(dep_delay) FROM flights WHERE distance >= 1000 AND distance <= 1500 GROUP BY unique_carrier" > flights_avg2.csv
# hive -e "SELECT unique_carrier, AVG(dep_delay) FROM flights WHERE distance >= 1500 AND distance <= 2000 GROUP BY unique_carrier" > flights_avg3.csv
# hive -e "SELECT unique_carrier, SUM(dep_delay) FROM flights WHERE distance >= 300 AND distance <= 1000 GROUP BY unique_carrier" > flights_sum1.csv
# hive -e "SELECT unique_carrier, SUM(dep_delay) FROM flights WHERE distance >= 1000 AND distance <= 1500 GROUP BY unique_carrier" > flights_sum2.csv
# hive -e "SELECT unique_carrier, SUM(dep_delay) FROM flights WHERE distance >= 1500 AND distance <= 2000 GROUP BY unique_carrier" > flights_sum3.csv
# hive -e "SELECT unique_carrier, COUNT(*) FROM flights WHERE dep_delay>=1000 AND dep_delay<=1200 AND origin_state_abr='LA' GROUP BY unique_carrier" > flights_one_model_1_x.csv
from dbestclient.executor.executor import SqlExecutor
class Query1:
def __init__(self):
self.mdl_name = None
self.sql_executor = None
self.model_size = "1m"
def build_model(self, mdl_name: str = "flight_1m", encoder='binary'):
self.mdl_name = mdl_name
self.sql_executor = SqlExecutor()
self.sql_executor.execute("set v='True'")
# self.sql_executor.execute("set device='cpu'")
self.sql_executor.execute("set b_grid_search='false'")
self.sql_executor.execute("set b_print_to_screen='false'")
self.sql_executor.execute("set csv_split_char=','")
self.sql_executor.execute("set batch_size=1000")
self.sql_executor.execute("set table_header=" +
"'year_date,unique_carrier,origin,origin_state_abr,dest,dest_state_abr,dep_delay,taxi_out,taxi_in,arr_delay,air_time,distance'")
self.sql_executor.execute("set encoder='"+ encoder +"'")
if self.model_size =="1m":
self.sql_executor.execute("set n_mdn_layer_node_reg=10") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=15") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=1") # 2
self.sql_executor.execute("set n_epoch=30") # 50
self.sql_executor.execute("set n_gaussians_reg=8") #
self.sql_executor.execute("set n_gaussians_density=10") # 8
self.sql_executor.execute("set plot='true'")
self.sql_executor.execute(
"create table "+mdl_name+"(dep_delay real, distance real) from '../data/flights/flight_1m.csv' GROUP BY unique_carrier method uniform size 100000 ")
elif self.model_size == "5m":
self.sql_executor.execute("set n_mdn_layer_node_reg=20") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=30") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=1") # 1
self.sql_executor.execute("set n_epoch=20") # 20
self.sql_executor.execute("set n_gaussians_reg=8") #
self.sql_executor.execute("set n_gaussians_density=8") # 10
self.sql_executor.execute(
"create table "+mdl_name+"(dep_delay real, distance real) from '../data/flights/flight_5m.csv' GROUP BY unique_carrier method uniform size 'num_points/flights_group.csv' ")
# self.sql_executor.execute("set n_mdn_layer_node_reg=30") # 5
# self.sql_executor.execute("set n_mdn_layer_node_density=30") # 30
# self.sql_executor.execute("set n_jobs=1") # 2
# self.sql_executor.execute("set n_hidden_layer=1") # 1
# self.sql_executor.execute("set n_epoch=20") # 20
# self.sql_executor.execute("set n_gaussians_reg=8") # 3
# self.sql_executor.execute("set n_gaussians_density=8") # 10
# self.sql_executor.execute(
# "create table "+mdl_name+"(dep_delay real, distance real) from '../data/flights/flights_10k.csv' GROUP BY unique_carrier method uniform size 'num_points/flights_group.csv' ") # num_of_points57.csv
# SELECT unique_carrier, AVG(dep_delay) FROM flights WHERE 300<=distance<=1000 GROUP BY unique_carrier;
# self.sql_executor.execute(
# "create table "+"ss10g_binary_30"+"(ss_sales_price real, ss_sold_date_sk real) from '../data/tpcds/10g/ss_10g_520k.csv' GROUP BY ss_store_sk method uniform size 'num_points/ss_10g.csv' ") # num_of_points57.csv
def build_one_model(self, mdl_name: str = "flight_1m", encoder='binary'):
self.mdl_name = mdl_name
self.sql_executor = SqlExecutor()
self.sql_executor.execute("set v='True'")
# self.sql_executor.execute("set device='cpu'")
self.sql_executor.execute("set one_model='true'")
self.sql_executor.execute("set b_grid_search='false'")
self.sql_executor.execute("set b_print_to_screen='false'")
self.sql_executor.execute("set csv_split_char=','")
self.sql_executor.execute("set batch_size=1000")
self.sql_executor.execute("set table_header=" +
"'year_date,unique_carrier,origin,origin_state_abr,dest,dest_state_abr,dep_delay,taxi_out,taxi_in,arr_delay,air_time,distance'")
self.sql_executor.execute("set encoder='"+ encoder +"'")
model_size = "5m"
if model_size =="1m":
self.sql_executor.execute("set n_mdn_layer_node_reg=20") # 5
self.sql_executor.execute("set n_mdn_layer_node_density=30") # 30
self.sql_executor.execute("set n_jobs=1") # 2
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=20") # 20
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
self.sql_executor.execute(
"create table "+mdl_name+"(distance real, dep_delay real, origin_state_abr categorical) from '../data/flights/flight_1m.csv' GROUP BY unique_carrier method uniform size 0.001")
elif model_size == "5m":
self.sql_executor.execute("set n_mdn_layer_node_reg=50") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=50") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=20") # 50
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
self.sql_executor.execute(
"create table "+mdl_name+"(distance real, dep_delay real, origin_state_abr categorical) from '../data/flights/flight_5m.csv' GROUP BY unique_carrier method uniform size 0.005")
# self.sql_executor.execute(
# "create table "+mdl_name+"(distance real, dep_delay real, origin_state_abr categorical) from '../data/flights/flight_5m.csv' GROUP BY unique_carrier method uniform size 0.005")#'num_points/flights_group.csv' ") # num_of_points57.csv
#SELECT unique_carrier, COUNT(*) FROM flights WHERE origin_state_abr='LA' AND dest_state_abr='CA' GROUP BY unique_carrier;
def workload(self, mdl_name, result2file: str = 'experiments/flights/results/mdn1m/', n_jobs=1):
self.sql_executor.mdl_name = mdl_name
self.sql_executor.execute("set n_jobs=" + str(n_jobs)+'"')
# self.sql_executor.execute(
# "set result2file='" + result2file + "7.txt'")
# self.sql_executor.execute("select unique_carrier, COUNT(dep_delay) from " + self.mdl_name +
# " where 300<=distance<=1000 GROUP BY unique_carrier")
# self.sql_executor.execute(
# "set result2file='" + result2file + "8.txt'")
# self.sql_executor.execute("SELECT unique_carrier, COUNT(dep_delay) from " + self.mdl_name +
# " where 1000<=distance<=1500 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "9.txt'")
# self.sql_executor.execute("SELECT unique_carrier, COUNT(dep_delay) from " + self.mdl_name +
# " where 1500<=distance<=2000 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "10.txt'")
# self.sql_executor.execute("SELECT unique_carrier, SUM(dep_delay) from " + self.mdl_name +
# " where 300<=distance<=1000 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "11.txt'")
# self.sql_executor.execute("SELECT unique_carrier, SUM(dep_delay) from " + self.mdl_name +
# " where 1000<=distance<=1500 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "12.txt'")
# self.sql_executor.execute("SELECT unique_carrier, SUM(dep_delay) from " + self.mdl_name +
# " where 1500<=distance<=2000 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "13.txt'")
# self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) from " + self.mdl_name +
# " where 300<=distance<=1000 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "14.txt'")
# self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) from " + self.mdl_name +
# " where 1000<=distance<=1500 GROUP BY unique_carrier",)
# self.sql_executor.execute(
# "set result2file='" + result2file + "15.txt'")
# self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) from " + self.mdl_name +
# " where 1500<=distance<=2000 GROUP BY unique_carrier",)
self.sql_executor.execute(
"set result2file='" + result2file + "one_model_1x.txt'")
self.sql_executor.execute("SELECT unique_carrier, COUNT(distance) FROM "+mdl_name+" where 1000<=dep_delay<=1200 AND origin_state_abr='LA' GROUP BY unique_carrier")
class query_equal_condition():
'''
SELECT year_date, SUM(distance) FROM flights WHERE unique_carrier='9E' GROUP BY year_date;
SELECT origin_state_abr, SUM(air_time) FROM flights WHERE dest='HPN' GROUP BY origin_state_abr;
SELECT unique_carrier, AVG(dep_delay) FROM flights WHERE year_date=2005 AND origin='PHX' GROUP BY unique_carrier;
SELECT dest_state_abr, AVG(taxi_out) FROM flights WHERE 1500<=distance<=2500 unique_carrier = 'AQ' GROUP BY dest_state_abr;
'''
def __init__(self):
self.mdl_name = None
# self.sql_executor = None
self.model_size = "1m"
self.sql_executor = SqlExecutor()
def build_model(self,encoder="embedding", model_size="1m"):
# self.mdl_name = mdl_name
self.sql_executor.execute("set v='True'")
# self.sql_executor.execute("set device='cpu'")
self.sql_executor.execute("set one_model='true'")
self.sql_executor.execute("set b_grid_search='false'")
self.sql_executor.execute("set b_print_to_screen='false'")
self.sql_executor.execute("set csv_split_char=','")
self.sql_executor.execute("set batch_size=1000")
self.sql_executor.execute("set table_header=" +
"'year_date,unique_carrier,origin,origin_state_abr,dest,dest_state_abr,dep_delay,taxi_out,taxi_in,arr_delay,air_time,distance'")
self.sql_executor.execute("set encoder='"+ encoder +"'")
if model_size =="1m":
self.sql_executor.execute("set n_mdn_layer_node_reg=20") # 5
self.sql_executor.execute("set n_mdn_layer_node_density=30") # 30
self.sql_executor.execute("set n_jobs=1") # 2
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=20") # 20
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
# self.sql_executor.execute("drop table "+mdl_name)
self.sql_executor.execute(
"create table "+ " flights_1m_q16_20 "+"(distance real, unique_carrier categorical) from '../data/flights/flight_1m.csv' GROUP BY year_date method uniform size 0.001")
self.sql_executor.execute(
"create table "+ " flights_1m_q21_25 "+"(air_time real, dest categorical) from '../data/flights/flight_1m.csv' GROUP BY origin_state_abr method uniform size 0.001")
# self.sql_executor.execute(
# "create table "+ " flights_1m_q26_30 "+"(dep_delay real, year_date categorical, origin categorical) from '../data/flights/flight_1m.csv' GROUP BY unique_carrier method uniform size 10000")
self.sql_executor.execute(
"create table "+ " flights_1m_q31_35 "+"(taxi_out real, distance real, unique_carrier categorical) from '../data/flights/flight_1m.csv' GROUP BY dest_state_abr method uniform size 0.001")
elif model_size == "5m":
self.sql_executor.execute("set n_mdn_layer_node_reg=50") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=50") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=20") # 50
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
# self.sql_executor.execute(
# "create table "+ " flights_5m_q16_20 "+"(distance real, unique_carrier categorical) from '../data/flights/flight_5m.csv' GROUP BY year_date method uniform size 0.005")
self.sql_executor.execute("set table_header=" +
"'year_date,unique_carrier,origin,origin_state_abr,dest,dest_state_abr,dep_delay,taxi_out,taxi_in,arr_delay,air_time,distance'")
self.sql_executor.execute(
"create table "+ " flights_5m_q21_25 "+"(air_time real, dest categorical) from '../data/flights/flight_5m.csv' GROUP BY origin_state_abr method uniform size 0.005")
# self.sql_executor.execute(
# "create table "+ " flights_5m_q26_30 "+"(dep_delay real, year_date categorical, origin categorical) from '../data/flights/flight_5m.csv' GROUP BY unique_carrier method uniform size 0.005")
self.sql_executor.execute(
"create table "+ " flights_5m_q31_35 "+"(taxi_out real, distance real, unique_carrier categorical) from '../data/flights/flight_5m.csv' GROUP BY dest_state_abr method uniform size 0.005")
elif model_size == "10m":
self.sql_executor.execute("set n_mdn_layer_node_reg=50") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=50") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=30") # 50
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
self.sql_executor.execute(
"create table "+ " flights_10m_q16_20 "+"(distance real, unique_carrier categorical) from '../data/flights/flight_10m.csv' GROUP BY year_date method uniform size 0.01")
# self.sql_executor.execute(
# "create table "+ " flights_10m_q21_25 "+"(air_time real, dest categorical) from '../data/flights/flight_10m.csv' GROUP BY origin_state_abr method uniform size 0.01")
# self.sql_executor.execute(
# "create table "+ " flights_10m_q26_30 "+"(dep_delay real, year_date categorical, origin categorical) from '../data/flights/flight_10m.csv' GROUP BY unique_carrier method uniform size 0.01")
self.sql_executor.execute(
"create table "+ " flights_10m_q31_35 "+"(taxi_out real, distance real, unique_carrier categorical) from '../data/flights/flight_10m.csv' GROUP BY dest_state_abr method uniform size 0.01")
elif model_size == "20m":
self.sql_executor.execute("set n_mdn_layer_node_reg=50") # 20
self.sql_executor.execute("set n_mdn_layer_node_density=50") # 30
self.sql_executor.execute("set n_jobs=1") #
self.sql_executor.execute("set n_hidden_layer=2") # 1
self.sql_executor.execute("set n_epoch=30") # 50
self.sql_executor.execute("set n_gaussians_reg=8") # 3
self.sql_executor.execute("set n_gaussians_density=8") # 10
self.sql_executor.execute(
"create table "+ " flights_20m_q16_20 "+"(distance real, unique_carrier categorical) from '../data/flights/flight_20m.csv' GROUP BY year_date method uniform size 0.02")
self.sql_executor.execute(
"create table "+ " flights_20m_q21_25 "+"(air_time real, dest categorical) from '../data/flights/flight_20m.csv' GROUP BY origin_state_abr method uniform size 0.02")
# self.sql_executor.execute(
# "create table "+ " flights_20m_q26_30 "+"(dep_delay real, year_date categorical, origin categorical) from '../data/flights/flight_20m.csv' GROUP BY unique_carrier method uniform size 0.02")
self.sql_executor.execute(
"create table "+ " flights_20m_q31_35 "+"(taxi_out real, distance real, unique_carrier categorical) from '../data/flights/flight_20m.csv' GROUP BY dest_state_abr method uniform size 0.02")
def query(self,mdl_size):
result=self.sql_executor.execute("SELECT year_date, AVG(distance) FROM "+"flights_equal_"+mdl_size+ " WHERE unique_carrier='9E' GROUP BY year_date")
result=self.sql_executor.execute("SELECT year_date, AVG(distance) FROM "+"flights_equal_"+mdl_size+ " WHERE unique_carrier='AA' GROUP BY year_date")
result=self.sql_executor.execute("SELECT year_date, AVG(distance) FROM "+"flights_equal_"+mdl_size+ " WHERE unique_carrier='B6' GROUP BY year_date")
result=self.sql_executor.execute("SELECT year_date, AVG(distance) FROM "+"flights_equal_"+mdl_size+ " WHERE unique_carrier='HA' GROUP BY year_date")
result=self.sql_executor.execute("SELECT year_date, AVG(distance) FROM "+"flights_equal_"+mdl_size+ " WHERE unique_carrier='VX' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT year_date, SUM(distance) FROM "+"flights_"+mdl_size+"_q16_20"+ " WHERE unique_carrier='9E' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT year_date, SUM(distance) FROM "+"flights_"+mdl_size+"_q16_20"+ " WHERE unique_carrier='AA' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT year_date, SUM(distance) FROM "+"flights_"+mdl_size+"_q16_20"+ " WHERE unique_carrier='B6' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT year_date, SUM(distance) FROM "+"flights_"+mdl_size+"_q16_20"+ " WHERE unique_carrier='HA' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT year_date, SUM(distance) FROM "+"flights_"+mdl_size+"_q16_20"+ " WHERE unique_carrier='VX' GROUP BY year_date")
# result=self.sql_executor.execute("SELECT origin_state_abr, SUM(air_time) FROM "+"flights_"+mdl_size+"_q21_25"+ " WHERE dest='ABE' GROUP BY origin_state_abr")
# result=self.sql_executor.execute("SELECT origin_state_abr, SUM(air_time) FROM "+"flights_"+mdl_size+"_q21_25"+ " WHERE dest='ACK' GROUP BY origin_state_abr")
# result=self.sql_executor.execute("SELECT origin_state_abr, SUM(air_time) FROM "+"flights_"+mdl_size+"_q21_25"+ " WHERE dest='BLI' GROUP BY origin_state_abr")
# result=self.sql_executor.execute("SELECT origin_state_abr, SUM(air_time) FROM "+"flights_"+mdl_size+"_q21_25"+ " WHERE dest='CHO' GROUP BY origin_state_abr")
# result=self.sql_executor.execute("SELECT origin_state_abr, SUM(air_time) FROM "+"flights_"+mdl_size+"_q21_25"+ " WHERE dest='FAT' GROUP BY origin_state_abr")
# result=self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) FROM "+"flights_"+mdl_size+"_q26_30"+ " WHERE year_date=2005 AND origin='ATW' GROUP BY unique_carrier")
# result=self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) FROM "+"flights_"+mdl_size+"_q26_30"+ " WHERE year_date=2006 AND origin='BQK' GROUP BY unique_carrier")
# result=self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) FROM "+"flights_"+mdl_size+"_q26_30"+ " WHERE year_date=2007 AND origin='DEN' GROUP BY unique_carrier")
# result=self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) FROM "+"flights_"+mdl_size+"_q26_30"+ " WHERE year_date=2008 AND origin='MKE' GROUP BY unique_carrier")
# result=self.sql_executor.execute("SELECT unique_carrier, AVG(dep_delay) FROM "+"flights_"+mdl_size+"_q26_30"+ " WHERE year_date=2009 AND origin='PHX' GROUP BY unique_carrier")
# result=self.sql_executor.execute("SELECT dest_state_abr, SUM(taxi_out) FROM "+"flights_"+mdl_size+"_q31_35"+ " where 1500 <=distance <= 2500 AND unique_carrier = 'AQ' GROUP BY dest_state_abr")
# result=self.sql_executor.execute("SELECT dest_state_abr, SUM(taxi_out) FROM "+"flights_"+mdl_size+"_q31_35"+ " where 2000 <=distance <= 3000 AND unique_carrier = 'F9' GROUP BY dest_state_abr")
# result=self.sql_executor.execute("SELECT dest_state_abr, SUM(taxi_out) FROM "+"flights_"+mdl_size+"_q31_35"+ " where 1500 <=distance <= 2500 AND unique_carrier = 'NW' GROUP BY dest_state_abr")
# result=self.sql_executor.execute("SELECT dest_state_abr, SUM(taxi_out) FROM "+"flights_"+mdl_size+"_q31_35"+ " where 2000 <=distance <= 3000 AND unique_carrier = 'TZ' GROUP BY dest_state_abr")
# result=self.sql_executor.execute("SELECT dest_state_abr, SUM(taxi_out) FROM "+"flights_"+mdl_size+"_q31_35"+ " where 1500 <=distance <= 2500 AND unique_carrier = 'UA' GROUP BY dest_state_abr")
if __name__ == "__main__":
query1 = Query1()
query1.model_size = "1m"
# query1.build_model(mdl_name="flights_1m_binary_small",encoder="binary")
# # query1.build_model(mdl_name="flights_1m_onehot",encoder="onehot")
query1.build_model(mdl_name="flights_1m_embedding",encoder="embedding")
# query1.workload("flights_5m_binary",result2file="experiments/flights/results/mdn5m/")
#
# query1.build_one_model("flight_one_model1",encoder="binary")
# # query1.build_one_model("flight_one_model_embedding",encoder="embedding")
# query1.workload("flight_one_model1",result2file="experiments/flights/results/mdn5m/")
# q = query_equal_condition()
# q.build_model(encoder="embedding",model_size="10m")
# q.build_model(encoder="embedding",model_size="20m")
# q.build_model("flights_equal_5m",encoder="embedding",model_size="5m")
# q.query("1m")
# q.query("5m")
# q.query("10m")
| 77.192073
| 247
| 0.654449
| 3,393
| 25,319
| 4.602417
| 0.077513
| 0.074859
| 0.160412
| 0.226819
| 0.902728
| 0.885886
| 0.873335
| 0.848489
| 0.831327
| 0.810451
| 0
| 0.041585
| 0.229748
| 25,319
| 328
| 248
| 77.192073
| 0.759153
| 0.466606
| 0
| 0.711538
| 0
| 0.115385
| 0.394729
| 0.131928
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044872
| false
| 0
| 0.00641
| 0
| 0.064103
| 0.019231
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
617c2eeb065c5ce828ae976cd65227a95c33a042
| 88,529
|
py
|
Python
|
pyboto3/route53domains.py
|
thecraftman/pyboto3
|
653a0db2b00b06708334431da8f169d1f7c7734f
|
[
"MIT"
] | null | null | null |
pyboto3/route53domains.py
|
thecraftman/pyboto3
|
653a0db2b00b06708334431da8f169d1f7c7734f
|
[
"MIT"
] | null | null | null |
pyboto3/route53domains.py
|
thecraftman/pyboto3
|
653a0db2b00b06708334431da8f169d1f7c7734f
|
[
"MIT"
] | null | null | null |
'''
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
"""
pass
def check_domain_availability(DomainName=None, IdnLangCode=None):
"""
This operation checks the availability of one domain name. Note that if the availability status of a domain is pending, you must submit another request to determine the availability of the domain name.
See also: AWS API Documentation
:example: response = client.check_domain_availability(
DomainName='string',
IdnLangCode='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to get availability for.
Constraints: The domain name can contain only the letters a through z, the numbers 0 through 9, and hyphen (-). Internationalized Domain Names are not supported.
:type IdnLangCode: string
:param IdnLangCode: Reserved for future use.
:rtype: dict
:return: {
'Availability': 'AVAILABLE'|'AVAILABLE_RESERVED'|'AVAILABLE_PREORDER'|'UNAVAILABLE'|'UNAVAILABLE_PREMIUM'|'UNAVAILABLE_RESTRICTED'|'RESERVED'|'DONT_KNOW'
}
"""
pass
def delete_tags_for_domain(DomainName=None, TagsToDelete=None):
"""
This operation deletes the specified tags for a domain.
All tag operations are eventually consistent; subsequent operations may not immediately represent all issued operations.
See also: AWS API Documentation
:example: response = client.delete_tags_for_domain(
DomainName='string',
TagsToDelete=[
'string',
]
)
:type DomainName: string
:param DomainName: [REQUIRED]
The domain for which you want to delete one or more tags.
:type TagsToDelete: list
:param TagsToDelete: [REQUIRED]
A list of tag keys to delete.
(string) --
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def disable_domain_auto_renew(DomainName=None):
"""
This operation disables automatic renewal of domain registration for the specified domain.
See also: AWS API Documentation
:example: response = client.disable_domain_auto_renew(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to disable automatic renewal for.
:rtype: dict
:return: {}
"""
pass
def disable_domain_transfer_lock(DomainName=None):
"""
This operation removes the transfer lock on the domain (specifically the clientTransferProhibited status) to allow domain transfers. We recommend you refrain from performing this action unless you intend to transfer the domain to a different registrar. Successful submission returns an operation ID that you can use to track the progress and completion of the action. If the request is not completed successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.disable_domain_transfer_lock(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to remove the transfer lock for.
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def enable_domain_auto_renew(DomainName=None):
"""
This operation configures Amazon Route 53 to automatically renew the specified domain before the domain registration expires. The cost of renewing your domain registration is billed to your AWS account.
The period during which you can renew a domain name varies by TLD. For a list of TLDs and their renewal policies, see "Renewal, restoration, and deletion times" on the website for our registrar partner, Gandi. Route 53 requires that you renew before the end of the renewal period that is listed on the Gandi website so we can complete processing before the deadline.
See also: AWS API Documentation
:example: response = client.enable_domain_auto_renew(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to enable automatic renewal for.
:rtype: dict
:return: {}
"""
pass
def enable_domain_transfer_lock(DomainName=None):
"""
This operation sets the transfer lock on the domain (specifically the clientTransferProhibited status) to prevent domain transfers. Successful submission returns an operation ID that you can use to track the progress and completion of the action. If the request is not completed successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.enable_domain_transfer_lock(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to set the transfer lock for.
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to
ClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid
for. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By
default, the http method is whatever is used in the method's model.
"""
pass
def get_contact_reachability_status(domainName=None):
"""
For operations that require confirmation that the email address for the registrant contact is valid, such as registering a new domain, this operation returns information about whether the registrant contact has responded.
If you want us to resend the email, use the ResendContactReachabilityEmail operation.
See also: AWS API Documentation
:example: response = client.get_contact_reachability_status(
domainName='string'
)
:type domainName: string
:param domainName: The name of the domain for which you want to know whether the registrant contact has confirmed that the email address is valid.
:rtype: dict
:return: {
'domainName': 'string',
'status': 'PENDING'|'DONE'|'EXPIRED'
}
"""
pass
def get_domain_detail(DomainName=None):
"""
This operation returns detailed information about a specified domain that is associated with the current AWS account. Contact information for the domain is also returned as part of the output.
See also: AWS API Documentation
:example: response = client.get_domain_detail(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to get detailed information about.
:rtype: dict
:return: {
'DomainName': 'string',
'Nameservers': [
{
'Name': 'string',
'GlueIps': [
'string',
]
},
],
'AutoRenew': True|False,
'AdminContact': {
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
'RegistrantContact': {
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
'TechContact': {
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
'AdminPrivacy': True|False,
'RegistrantPrivacy': True|False,
'TechPrivacy': True|False,
'RegistrarName': 'string',
'WhoIsServer': 'string',
'RegistrarUrl': 'string',
'AbuseContactEmail': 'string',
'AbuseContactPhone': 'string',
'RegistryDomainId': 'string',
'CreationDate': datetime(2015, 1, 1),
'UpdatedDate': datetime(2015, 1, 1),
'ExpirationDate': datetime(2015, 1, 1),
'Reseller': 'string',
'DnsSec': 'string',
'StatusList': [
'string',
]
}
:returns:
(string) --
"""
pass
def get_domain_suggestions(DomainName=None, SuggestionCount=None, OnlyAvailable=None):
"""
The GetDomainSuggestions operation returns a list of suggested domain names given a string, which can either be a domain name or simply a word or phrase (without spaces).
See also: AWS API Documentation
:example: response = client.get_domain_suggestions(
DomainName='string',
SuggestionCount=123,
OnlyAvailable=True|False
)
:type DomainName: string
:param DomainName: [REQUIRED]
A domain name that you want to use as the basis for a list of possible domain names. The domain name must contain a top-level domain (TLD), such as .com, that Amazon Route 53 supports. For a list of TLDs, see Domains that You Can Register with Amazon Route 53 in the Amazon Route 53 Developer Guide .
:type SuggestionCount: integer
:param SuggestionCount: [REQUIRED]
The number of suggested domain names that you want Amazon Route 53 to return.
:type OnlyAvailable: boolean
:param OnlyAvailable: [REQUIRED]
If OnlyAvailable is true , Amazon Route 53 returns only domain names that are available. If OnlyAvailable is false , Amazon Route 53 returns domain names without checking whether they're available to be registered. To determine whether the domain is available, you can call checkDomainAvailability for each suggestion.
:rtype: dict
:return: {
'SuggestionsList': [
{
'DomainName': 'string',
'Availability': 'string'
},
]
}
"""
pass
def get_operation_detail(OperationId=None):
"""
This operation returns the current status of an operation that is not completed.
See also: AWS API Documentation
:example: response = client.get_operation_detail(
OperationId='string'
)
:type OperationId: string
:param OperationId: [REQUIRED]
The identifier for the operation for which you want to get the status. Amazon Route 53 returned the identifier in the response to the original request.
:rtype: dict
:return: {
'OperationId': 'string',
'Status': 'SUBMITTED'|'IN_PROGRESS'|'ERROR'|'SUCCESSFUL'|'FAILED',
'Message': 'string',
'DomainName': 'string',
'Type': 'REGISTER_DOMAIN'|'DELETE_DOMAIN'|'TRANSFER_IN_DOMAIN'|'UPDATE_DOMAIN_CONTACT'|'UPDATE_NAMESERVER'|'CHANGE_PRIVACY_PROTECTION'|'DOMAIN_LOCK',
'SubmittedDate': datetime(2015, 1, 1)
}
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name
as the method name on the client. For example, if the
method name is create_foo, and you'd normally invoke the
operation as client.create_foo(**kwargs), if the
create_foo operation can be paginated, you can use the
call client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
"""
pass
def get_waiter():
"""
"""
pass
def list_domains(Marker=None, MaxItems=None):
"""
This operation returns all the domain names registered with Amazon Route 53 for the current AWS account.
See also: AWS API Documentation
:example: response = client.list_domains(
Marker='string',
MaxItems=123
)
:type Marker: string
:param Marker: For an initial request for a list of domains, omit this element. If the number of domains that are associated with the current AWS account is greater than the value that you specified for MaxItems , you can use Marker to return additional domains. Get the value of NextPageMarker from the previous response, and submit another request that includes the value of NextPageMarker in the Marker element.
Constraints: The marker must match the value specified in the previous request.
:type MaxItems: integer
:param MaxItems: Number of domains to be returned.
Default: 20
:rtype: dict
:return: {
'Domains': [
{
'DomainName': 'string',
'AutoRenew': True|False,
'TransferLock': True|False,
'Expiry': datetime(2015, 1, 1)
},
],
'NextPageMarker': 'string'
}
"""
pass
def list_operations(Marker=None, MaxItems=None):
"""
This operation returns the operation IDs of operations that are not yet complete.
See also: AWS API Documentation
:example: response = client.list_operations(
Marker='string',
MaxItems=123
)
:type Marker: string
:param Marker: For an initial request for a list of operations, omit this element. If the number of operations that are not yet complete is greater than the value that you specified for MaxItems , you can use Marker to return additional operations. Get the value of NextPageMarker from the previous response, and submit another request that includes the value of NextPageMarker in the Marker element.
:type MaxItems: integer
:param MaxItems: Number of domains to be returned.
Default: 20
:rtype: dict
:return: {
'Operations': [
{
'OperationId': 'string',
'Status': 'SUBMITTED'|'IN_PROGRESS'|'ERROR'|'SUCCESSFUL'|'FAILED',
'Type': 'REGISTER_DOMAIN'|'DELETE_DOMAIN'|'TRANSFER_IN_DOMAIN'|'UPDATE_DOMAIN_CONTACT'|'UPDATE_NAMESERVER'|'CHANGE_PRIVACY_PROTECTION'|'DOMAIN_LOCK',
'SubmittedDate': datetime(2015, 1, 1)
},
],
'NextPageMarker': 'string'
}
"""
pass
def list_tags_for_domain(DomainName=None):
"""
This operation returns all of the tags that are associated with the specified domain.
All tag operations are eventually consistent; subsequent operations may not immediately represent all issued operations.
See also: AWS API Documentation
:example: response = client.list_tags_for_domain(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The domain for which you want to get a list of tags.
:rtype: dict
:return: {
'TagList': [
{
'Key': 'string',
'Value': 'string'
},
]
}
"""
pass
def register_domain(DomainName=None, IdnLangCode=None, DurationInYears=None, AutoRenew=None, AdminContact=None, RegistrantContact=None, TechContact=None, PrivacyProtectAdminContact=None, PrivacyProtectRegistrantContact=None, PrivacyProtectTechContact=None):
"""
This operation registers a domain. Domains are registered by the AWS registrar partner, Gandi. For some top-level domains (TLDs), this operation requires extra parameters.
When you register a domain, Amazon Route 53 does the following:
See also: AWS API Documentation
:example: response = client.register_domain(
DomainName='string',
IdnLangCode='string',
DurationInYears=123,
AutoRenew=True|False,
AdminContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
RegistrantContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
TechContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
PrivacyProtectAdminContact=True|False,
PrivacyProtectRegistrantContact=True|False,
PrivacyProtectTechContact=True|False
)
:type DomainName: string
:param DomainName: [REQUIRED]
The domain name that you want to register.
Constraints: The domain name can contain only the letters a through z, the numbers 0 through 9, and hyphen (-). Internationalized Domain Names are not supported.
:type IdnLangCode: string
:param IdnLangCode: Reserved for future use.
:type DurationInYears: integer
:param DurationInYears: [REQUIRED]
The number of years that you want to register the domain for. Domains are registered for a minimum of one year. The maximum period depends on the top-level domain. For the range of valid values for your domain, see Domains that You Can Register with Amazon Route 53 in the Amazon Route 53 Developer Guide .
Default: 1
:type AutoRenew: boolean
:param AutoRenew: Indicates whether the domain will be automatically renewed (true ) or not (false ). Autorenewal only takes effect after the account is charged.
Default: true
:type AdminContact: dict
:param AdminContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type RegistrantContact: dict
:param RegistrantContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type TechContact: dict
:param TechContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type PrivacyProtectAdminContact: boolean
:param PrivacyProtectAdminContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:type PrivacyProtectRegistrantContact: boolean
:param PrivacyProtectRegistrantContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:type PrivacyProtectTechContact: boolean
:param PrivacyProtectTechContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:rtype: dict
:return: {
'OperationId': 'string'
}
:returns:
DomainName (string) -- [REQUIRED]
The domain name that you want to register.
Constraints: The domain name can contain only the letters a through z, the numbers 0 through 9, and hyphen (-). Internationalized Domain Names are not supported.
IdnLangCode (string) -- Reserved for future use.
DurationInYears (integer) -- [REQUIRED]
The number of years that you want to register the domain for. Domains are registered for a minimum of one year. The maximum period depends on the top-level domain. For the range of valid values for your domain, see Domains that You Can Register with Amazon Route 53 in the Amazon Route 53 Developer Guide .
Default: 1
AutoRenew (boolean) -- Indicates whether the domain will be automatically renewed (true ) or not (false ). Autorenewal only takes effect after the account is charged.
Default: true
AdminContact (dict) -- [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
RegistrantContact (dict) -- [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
TechContact (dict) -- [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format "+[country dialing code].[number including any area code]". For example, a US phone number might appear as "+1.1234567890" .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
PrivacyProtectAdminContact (boolean) -- Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ("who is") queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
PrivacyProtectRegistrantContact (boolean) -- Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ("who is") queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
PrivacyProtectTechContact (boolean) -- Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ("who is") queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
"""
pass
def renew_domain(DomainName=None, DurationInYears=None, CurrentExpiryYear=None):
"""
This operation renews a domain for the specified number of years. The cost of renewing your domain is billed to your AWS account.
We recommend that you renew your domain several weeks before the expiration date. Some TLD registries delete domains before the expiration date if you haven't renewed far enough in advance. For more information about renewing domain registration, see Renewing Registration for a Domain in the Amazon Route 53 Developer Guide.
See also: AWS API Documentation
:example: response = client.renew_domain(
DomainName='string',
DurationInYears=123,
CurrentExpiryYear=123
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to renew.
:type DurationInYears: integer
:param DurationInYears: The number of years that you want to renew the domain for. The maximum number of years depends on the top-level domain. For the range of valid values for your domain, see Domains that You Can Register with Amazon Route 53 in the Amazon Route 53 Developer Guide .
Default: 1
:type CurrentExpiryYear: integer
:param CurrentExpiryYear: [REQUIRED]
The year when the registration for the domain is set to expire. This value must match the current expiration date for the domain.
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def resend_contact_reachability_email(domainName=None):
"""
For operations that require confirmation that the email address for the registrant contact is valid, such as registering a new domain, this operation resends the confirmation email to the current email address for the registrant contact.
See also: AWS API Documentation
:example: response = client.resend_contact_reachability_email(
domainName='string'
)
:type domainName: string
:param domainName: The name of the domain for which you want Amazon Route 53 to resend a confirmation email to the registrant contact.
:rtype: dict
:return: {
'domainName': 'string',
'emailAddress': 'string',
'isAlreadyVerified': True|False
}
"""
pass
def retrieve_domain_auth_code(DomainName=None):
"""
This operation returns the AuthCode for the domain. To transfer a domain to another registrar, you provide this value to the new registrar.
See also: AWS API Documentation
:example: response = client.retrieve_domain_auth_code(
DomainName='string'
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to get an authorization code for.
:rtype: dict
:return: {
'AuthCode': 'string'
}
"""
pass
def transfer_domain(DomainName=None, IdnLangCode=None, DurationInYears=None, Nameservers=None, AuthCode=None, AutoRenew=None, AdminContact=None, RegistrantContact=None, TechContact=None, PrivacyProtectAdminContact=None, PrivacyProtectRegistrantContact=None, PrivacyProtectTechContact=None):
"""
This operation transfers a domain from another registrar to Amazon Route 53. When the transfer is complete, the domain is registered with the AWS registrar partner, Gandi.
For transfer requirements, a detailed procedure, and information about viewing the status of a domain transfer, see Transferring Registration for a Domain to Amazon Route 53 in the Amazon Route 53 Developer Guide .
If the registrar for your domain is also the DNS service provider for the domain, we highly recommend that you consider transferring your DNS service to Amazon Route 53 or to another DNS service provider before you transfer your registration. Some registrars provide free DNS service when you purchase a domain registration. When you transfer the registration, the previous registrar will not renew your domain registration and could end your DNS service at any time.
If the transfer is successful, this method returns an operation ID that you can use to track the progress and completion of the action. If the transfer doesn't complete successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.transfer_domain(
DomainName='string',
IdnLangCode='string',
DurationInYears=123,
Nameservers=[
{
'Name': 'string',
'GlueIps': [
'string',
]
},
],
AuthCode='string',
AutoRenew=True|False,
AdminContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
RegistrantContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
TechContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
PrivacyProtectAdminContact=True|False,
PrivacyProtectRegistrantContact=True|False,
PrivacyProtectTechContact=True|False
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to transfer to Amazon Route 53.
Constraints: The domain name can contain only the letters a through z, the numbers 0 through 9, and hyphen (-). Internationalized Domain Names are not supported.
:type IdnLangCode: string
:param IdnLangCode: Reserved for future use.
:type DurationInYears: integer
:param DurationInYears: [REQUIRED]
The number of years that you want to register the domain for. Domains are registered for a minimum of one year. The maximum period depends on the top-level domain.
Default: 1
:type Nameservers: list
:param Nameservers: Contains details for the host and glue IP addresses.
(dict) --Nameserver includes the following elements.
Name (string) -- [REQUIRED]The fully qualified host name of the name server.
Constraint: Maximum 255 characters
GlueIps (list) --Glue IP address of a name server entry. Glue IP addresses are required only when the name of the name server is a subdomain of the domain. For example, if your domain is example.com and the name server for the domain is ns.example.com, you need to specify the IP address for ns.example.com.
Constraints: The list can contain only one IPv4 and one IPv6 address.
(string) --
:type AuthCode: string
:param AuthCode: The authorization code for the domain. You get this value from the current registrar.
:type AutoRenew: boolean
:param AutoRenew: Indicates whether the domain will be automatically renewed (true) or not (false). Autorenewal only takes effect after the account is charged.
Default: true
:type AdminContact: dict
:param AdminContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type RegistrantContact: dict
:param RegistrantContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type TechContact: dict
:param TechContact: [REQUIRED]
Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type PrivacyProtectAdminContact: boolean
:param PrivacyProtectAdminContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:type PrivacyProtectRegistrantContact: boolean
:param PrivacyProtectRegistrantContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:type PrivacyProtectTechContact: boolean
:param PrivacyProtectTechContact: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
Default: true
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def update_domain_contact(DomainName=None, AdminContact=None, RegistrantContact=None, TechContact=None):
"""
This operation updates the contact information for a particular domain. Information for at least one contact (registrant, administrator, or technical) must be supplied for update.
If the update is successful, this method returns an operation ID that you can use to track the progress and completion of the action. If the request is not completed successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.update_domain_contact(
DomainName='string',
AdminContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
RegistrantContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
},
TechContact={
'FirstName': 'string',
'LastName': 'string',
'ContactType': 'PERSON'|'COMPANY'|'ASSOCIATION'|'PUBLIC_BODY'|'RESELLER',
'OrganizationName': 'string',
'AddressLine1': 'string',
'AddressLine2': 'string',
'City': 'string',
'State': 'string',
'CountryCode': 'AD'|'AE'|'AF'|'AG'|'AI'|'AL'|'AM'|'AN'|'AO'|'AQ'|'AR'|'AS'|'AT'|'AU'|'AW'|'AZ'|'BA'|'BB'|'BD'|'BE'|'BF'|'BG'|'BH'|'BI'|'BJ'|'BL'|'BM'|'BN'|'BO'|'BR'|'BS'|'BT'|'BW'|'BY'|'BZ'|'CA'|'CC'|'CD'|'CF'|'CG'|'CH'|'CI'|'CK'|'CL'|'CM'|'CN'|'CO'|'CR'|'CU'|'CV'|'CX'|'CY'|'CZ'|'DE'|'DJ'|'DK'|'DM'|'DO'|'DZ'|'EC'|'EE'|'EG'|'ER'|'ES'|'ET'|'FI'|'FJ'|'FK'|'FM'|'FO'|'FR'|'GA'|'GB'|'GD'|'GE'|'GH'|'GI'|'GL'|'GM'|'GN'|'GQ'|'GR'|'GT'|'GU'|'GW'|'GY'|'HK'|'HN'|'HR'|'HT'|'HU'|'ID'|'IE'|'IL'|'IM'|'IN'|'IQ'|'IR'|'IS'|'IT'|'JM'|'JO'|'JP'|'KE'|'KG'|'KH'|'KI'|'KM'|'KN'|'KP'|'KR'|'KW'|'KY'|'KZ'|'LA'|'LB'|'LC'|'LI'|'LK'|'LR'|'LS'|'LT'|'LU'|'LV'|'LY'|'MA'|'MC'|'MD'|'ME'|'MF'|'MG'|'MH'|'MK'|'ML'|'MM'|'MN'|'MO'|'MP'|'MR'|'MS'|'MT'|'MU'|'MV'|'MW'|'MX'|'MY'|'MZ'|'NA'|'NC'|'NE'|'NG'|'NI'|'NL'|'NO'|'NP'|'NR'|'NU'|'NZ'|'OM'|'PA'|'PE'|'PF'|'PG'|'PH'|'PK'|'PL'|'PM'|'PN'|'PR'|'PT'|'PW'|'PY'|'QA'|'RO'|'RS'|'RU'|'RW'|'SA'|'SB'|'SC'|'SD'|'SE'|'SG'|'SH'|'SI'|'SK'|'SL'|'SM'|'SN'|'SO'|'SR'|'ST'|'SV'|'SY'|'SZ'|'TC'|'TD'|'TG'|'TH'|'TJ'|'TK'|'TL'|'TM'|'TN'|'TO'|'TR'|'TT'|'TV'|'TW'|'TZ'|'UA'|'UG'|'US'|'UY'|'UZ'|'VA'|'VC'|'VE'|'VG'|'VI'|'VN'|'VU'|'WF'|'WS'|'YE'|'YT'|'ZA'|'ZM'|'ZW',
'ZipCode': 'string',
'PhoneNumber': 'string',
'Email': 'string',
'Fax': 'string',
'ExtraParams': [
{
'Name': 'DUNS_NUMBER'|'BRAND_NUMBER'|'BIRTH_DEPARTMENT'|'BIRTH_DATE_IN_YYYY_MM_DD'|'BIRTH_COUNTRY'|'BIRTH_CITY'|'DOCUMENT_NUMBER'|'AU_ID_NUMBER'|'AU_ID_TYPE'|'CA_LEGAL_TYPE'|'CA_BUSINESS_ENTITY_TYPE'|'ES_IDENTIFICATION'|'ES_IDENTIFICATION_TYPE'|'ES_LEGAL_FORM'|'FI_BUSINESS_NUMBER'|'FI_ID_NUMBER'|'IT_PIN'|'RU_PASSPORT_DATA'|'SE_ID_NUMBER'|'SG_ID_NUMBER'|'VAT_NUMBER',
'Value': 'string'
},
]
}
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to update contact information for.
:type AdminContact: dict
:param AdminContact: Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type RegistrantContact: dict
:param RegistrantContact: Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:type TechContact: dict
:param TechContact: Provides detailed contact information.
FirstName (string) --First name of contact.
LastName (string) --Last name of contact.
ContactType (string) --Indicates whether the contact is a person, company, association, or public organization. If you choose an option other than PERSON , you must enter an organization name, and you can't enable privacy protection for the contact.
OrganizationName (string) --Name of the organization for contact types other than PERSON .
AddressLine1 (string) --First line of the contact's address.
AddressLine2 (string) --Second line of contact's address, if any.
City (string) --The city of the contact's address.
State (string) --The state or province of the contact's city.
CountryCode (string) --Code for the country of the contact's address.
ZipCode (string) --The zip or postal code of the contact's address.
PhoneNumber (string) --The phone number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
Email (string) --Email address of the contact.
Fax (string) --Fax number of the contact.
Constraints: Phone number must be specified in the format '+[country dialing code].[number including any area code]'. For example, a US phone number might appear as '+1.1234567890' .
ExtraParams (list) --A list of name-value pairs for parameters required by certain top-level domains.
(dict) --ExtraParam includes the following elements.
Name (string) -- [REQUIRED]Name of the additional parameter required by the top-level domain.
Value (string) -- [REQUIRED]Values corresponding to the additional parameter names required by some top-level domains.
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def update_domain_contact_privacy(DomainName=None, AdminPrivacy=None, RegistrantPrivacy=None, TechPrivacy=None):
"""
This operation updates the specified domain contact's privacy setting. When the privacy option is enabled, personal information such as postal or email address is hidden from the results of a public WHOIS query. The privacy services are provided by the AWS registrar, Gandi. For more information, see the Gandi privacy features .
This operation only affects the privacy of the specified contact type (registrant, administrator, or tech). Successful acceptance returns an operation ID that you can use with GetOperationDetail to track the progress and completion of the action. If the request is not completed successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.update_domain_contact_privacy(
DomainName='string',
AdminPrivacy=True|False,
RegistrantPrivacy=True|False,
TechPrivacy=True|False
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to update the privacy setting for.
:type AdminPrivacy: boolean
:param AdminPrivacy: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
:type RegistrantPrivacy: boolean
:param RegistrantPrivacy: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
:type TechPrivacy: boolean
:param TechPrivacy: Whether you want to conceal contact information from WHOIS queries. If you specify true , WHOIS ('who is') queries will return contact information for our registrar partner, Gandi, instead of the contact information that you enter.
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def update_domain_nameservers(DomainName=None, FIAuthKey=None, Nameservers=None):
"""
This operation replaces the current set of name servers for the domain with the specified set of name servers. If you use Amazon Route 53 as your DNS service, specify the four name servers in the delegation set for the hosted zone for the domain.
If successful, this operation returns an operation ID that you can use to track the progress and completion of the action. If the request is not completed successfully, the domain registrant will be notified by email.
See also: AWS API Documentation
:example: response = client.update_domain_nameservers(
DomainName='string',
FIAuthKey='string',
Nameservers=[
{
'Name': 'string',
'GlueIps': [
'string',
]
},
]
)
:type DomainName: string
:param DomainName: [REQUIRED]
The name of the domain that you want to change name servers for.
:type FIAuthKey: string
:param FIAuthKey: The authorization key for .fi domains
:type Nameservers: list
:param Nameservers: [REQUIRED]
A list of new name servers for the domain.
(dict) --Nameserver includes the following elements.
Name (string) -- [REQUIRED]The fully qualified host name of the name server.
Constraint: Maximum 255 characters
GlueIps (list) --Glue IP address of a name server entry. Glue IP addresses are required only when the name of the name server is a subdomain of the domain. For example, if your domain is example.com and the name server for the domain is ns.example.com, you need to specify the IP address for ns.example.com.
Constraints: The list can contain only one IPv4 and one IPv6 address.
(string) --
:rtype: dict
:return: {
'OperationId': 'string'
}
"""
pass
def update_tags_for_domain(DomainName=None, TagsToUpdate=None):
"""
This operation adds or updates tags for a specified domain.
All tag operations are eventually consistent; subsequent operations may not immediately represent all issued operations.
See also: AWS API Documentation
:example: response = client.update_tags_for_domain(
DomainName='string',
TagsToUpdate=[
{
'Key': 'string',
'Value': 'string'
},
]
)
:type DomainName: string
:param DomainName: [REQUIRED]
The domain for which you want to add or update tags.
:type TagsToUpdate: list
:param TagsToUpdate: A list of the tag keys and values that you want to add or update. If you specify a key that already exists, the corresponding value will be replaced.
(dict) --Each tag includes the following elements.
Key (string) --The key (name) of a tag.
Valid values: A-Z, a-z, 0-9, space, '.:/=+-@'
Constraints: Each key can be 1-128 characters long.
Value (string) --The value of a tag.
Valid values: A-Z, a-z, 0-9, space, '.:/=+-@'
Constraints: Each value can be 0-256 characters long.
:rtype: dict
:return: {}
:returns:
(dict) --
"""
pass
def view_billing(Start=None, End=None, Marker=None, MaxItems=None):
"""
Returns all the domain-related billing records for the current AWS account for a specified period
See also: AWS API Documentation
:example: response = client.view_billing(
Start=datetime(2015, 1, 1),
End=datetime(2015, 1, 1),
Marker='string',
MaxItems=123
)
:type Start: datetime
:param Start: The beginning date and time for the time period for which you want a list of billing records. Specify the date in Unix time format.
:type End: datetime
:param End: The end date and time for the time period for which you want a list of billing records. Specify the date in Unix time format.
:type Marker: string
:param Marker: For an initial request for a list of billing records, omit this element. If the number of billing records that are associated with the current AWS account during the specified period is greater than the value that you specified for MaxItems , you can use Marker to return additional billing records. Get the value of NextPageMarker from the previous response, and submit another request that includes the value of NextPageMarker in the Marker element.
Constraints: The marker must match the value of NextPageMarker that was returned in the previous response.
:type MaxItems: integer
:param MaxItems: The number of billing records to be returned.
Default: 20
:rtype: dict
:return: {
'NextPageMarker': 'string',
'BillingRecords': [
{
'DomainName': 'string',
'Operation': 'REGISTER_DOMAIN'|'DELETE_DOMAIN'|'TRANSFER_IN_DOMAIN'|'UPDATE_DOMAIN_CONTACT'|'UPDATE_NAMESERVER'|'CHANGE_PRIVACY_PROTECTION'|'DOMAIN_LOCK',
'InvoiceId': 'string',
'BillDate': datetime(2015, 1, 1),
'Price': 123.0
},
]
}
"""
pass
| 55.924826
| 1,172
| 0.614228
| 11,659
| 88,529
| 4.611116
| 0.069646
| 0.015439
| 0.024107
| 0.014509
| 0.835271
| 0.81295
| 0.805268
| 0.790034
| 0.778111
| 0.769182
| 0
| 0.007155
| 0.223238
| 88,529
| 1,582
| 1,173
| 55.960177
| 0.774642
| 0.907341
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 10
|
61a83601af97149e0e213568aeae43c500925a39
| 53,668
|
py
|
Python
|
codegen/cntcycrep_testgen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | 2
|
2017-08-28T08:41:16.000Z
|
2018-05-29T03:49:36.000Z
|
codegen/cntcycrep_testgen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
codegen/cntcycrep_testgen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
##############################################################################
# Project: arrayfunc
# Purpose: Generate the unit tests for count, cycle, repeat.
# Language: Python 3.6
# Date: 21-May-2014
#
###############################################################################
#
# Copyright 2014 - 2019 Michael Griffin <m12.griffin@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################
# ==============================================================================
import itertools
import codegen_common
# ==============================================================================
# ==============================================================================
count_param_template = '''
##############################################################################
class count_params_%(typecode)s(unittest.TestCase):
"""Test for count parameter function.
count_param_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.data = array.array('%(typecode)s', [0] * self.ArrayLength)
self.emptydata = array.array('%(typecode)s', [])
########################################################
def test_count_param_01(self):
"""Test count in array code %(typecode)s - Zero length array.
"""
with self.assertRaises(IndexError):
arrayfunc.count(self.emptydata, 0%(zeropad)s)
########################################################
def test_count_param_02(self):
"""Test count in array code %(typecode)s - Missing start parameter.
"""
with self.assertRaises(TypeError):
arrayfunc.count(self.data)
########################################################
def test_count_param_03(self):
"""Test count in array code %(typecode)s - Too many parameters.
"""
with self.assertRaises(TypeError):
arrayfunc.count(self.data, 0%(zeropad)s, 1%(zeropad)s, 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.count(10, 12, 20)
########################################################
def test_count_param_04(self):
"""Test count in array code %(typecode)s - Invalid param type for array.
"""
with self.assertRaises(TypeError):
arrayfunc.count(1, 0%(zeropad)s, 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.count('a')
########################################################
def test_count_param_05(self):
"""Test count in array code %(typecode)s - Invalid param type for start.
"""
with self.assertRaises(TypeError):
arrayfunc.count(self.data, 'a', 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.count('a')
########################################################
def test_count_param_06(self):
"""Test count in array code %(typecode)s - Invalid param type for step.
"""
with self.assertRaises(TypeError):
arrayfunc.count(self.data, 0%(zeropad)s, 'a')
##############################################################################
'''
# ==============================================================================
count_op_template = '''
##############################################################################
class count_op_%(typecode)s(unittest.TestCase):
"""Test for basic count function.
count_op_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.TypeCode = '%(typecode)s'
self.ArrayLength = 512
self.data = array.array('%(typecode)s', itertools.repeat(0%(zeropad)s, self.ArrayLength))
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
self.zerodata = array.array('%(typecode)s', [])
# This is the largest step allowed for this array type.
self.MaxStep = arrayfunc.arraylimits.%(maxsteptypecode)s_max
self.MaxStepData = array.array('%(typecode)s', itertools.repeat(0%(zeropad)s, 6))
########################################################
def PyCount(self, data, start, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
for x in range(len(data)):
seq.append(val)
val = val + step
if (step >= 0) and (val > self.MaxVal):
if (self.TypeCode == 'f') and val > self.MaxVal:
val = math.inf
elif (self.TypeCode == 'd') and val > self.MaxVal:
pass
else:
val = (val - (self.MaxVal + 1)) + self.MinVal
elif (step < 0) and (val < self.MinVal):
if (self.TypeCode == 'f') and val < self.MinVal:
val = -math.inf
elif (self.TypeCode == 'd') and val < self.MinVal:
pass
else:
val = (val - (self.MinVal - 1)) + self. MaxVal
return seq
########################################################
def test_count_op_01(self):
"""Test count in array code %(typecode)s - start from 0, count up by one, and proceed to end without limit.
"""
expected = self.PyCount(self.data, 0%(zeropad)s, 1%(zeropad)s)
arrayfunc.count(self.data, 0%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_op_02(self):
"""Test count in array code %(typecode)s - start from 10, count up by one, and proceed to end without limit.
"""
expected = self.PyCount(self.data, 10%(zeropad)s, 1%(zeropad)s)
arrayfunc.count(self.data, 10%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_op_03(self):
"""Test count in array code %(typecode)s - start from 0, count up by 7, and proceed to end without limit.
"""
expected = self.PyCount(self.data, 0%(zeropad)s, 7%(zeropad)s)
arrayfunc.count(self.data, 0%(zeropad)s, 7%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_op_04(self):
"""Test count in array code %(typecode)s - start from 10, count up by 7, and proceed to end without limit.
"""
expected = self.PyCount(self.data, 10%(zeropad)s, 7%(zeropad)s)
arrayfunc.count(self.data, 10%(zeropad)s, 7%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_op_05(self):
"""Test count in array code %(typecode)s - Step is maximum size.
"""
expected = self.PyCount(self.MaxStepData, 0%(zeropad)s, self.MaxStep)
# We use a smaller array because we expect an overflow near the beginning.
arrayfunc.count(self.MaxStepData, 0%(zeropad)s, self.MaxStep)
for dataoutitem, expecteditem in zip(list(self.MaxStepData), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_op_06(self):
"""Test count in array code %(typecode)s - start from 10, down by one, and proceed to end without limit.
"""
expected = self.PyCount(self.data, 10%(zeropad)s, -1%(zeropad)s)
arrayfunc.count(self.data, 10%(zeropad)s, -1%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
count_op_signed_template = '''
##############################################################################
class count_op_signed_%(typecode)s(unittest.TestCase):
"""Test for basic count function for signed data.
count_op_signed_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.TypeCode = '%(typecode)s'
self.ArrayLength = 512
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
self.data = array.array('%(typecode)s', itertools.repeat(0%(zeropad)s, self.ArrayLength))
########################################################
def PyCount(self, data, start, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
for x in range(len(data)):
seq.append(val)
val = val + step
if (step >= 0) and (val > self.MaxVal):
if (self.TypeCode == 'f') and val > self.MaxVal:
val = math.inf
elif (self.TypeCode == 'd') and val > self.MaxVal:
pass
else:
val = (val - (self.MaxVal + 1)) + self.MinVal
elif (step < 0) and (val < self.MinVal):
if (self.TypeCode == 'f') and val < self.MinVal:
val = -math.inf
elif (self.TypeCode == 'd') and val < self.MinVal:
pass
else:
val = (val - (self.MinVal - 1)) + self. MaxVal
return seq
########################################################
# Signed and float only.
def test_count_op_signed_01(self):
"""Test count in array code %(typecode)s - start from -10, count up by one, and proceed to end without limit.
"""
expected = self.PyCount(self.data, -10%(zeropad)s, 1%(zeropad)s)
arrayfunc.count(self.data, -10%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
count_nonfinite_template = '''
##############################################################################
class count_nonfinite_%(typecode)s(unittest.TestCase):
"""Test for nonfinite count function.
count_nonfinite_template
"""
##############################################################################
def FloatassertEqual(self, dataoutitem, expecteditem, msg=None):
"""This function is patched into assertEqual to allow testing for
the floating point special values NaN, Inf, and -Inf.
"""
# NaN cannot be compared using normal means.
if math.isnan(dataoutitem) and math.isnan(expecteditem):
pass
# Anything else can be compared normally.
else:
if not math.isclose(expecteditem, dataoutitem, rel_tol=0.01, abs_tol=0.0):
raise self.failureException('%%0.3f != %%0.3f' %% (expecteditem, dataoutitem))
########################################################
def setUp(self):
"""Initialise.
"""
# This is active for float numbers only.
self.addTypeEqualityFunc(float, self.FloatassertEqual)
self.TypeCode = '%(typecode)s'
self.ArrayLength = 512
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
self.data = array.array('%(typecode)s', [10] * self.ArrayLength)
########################################################
def PyCount(self, data, start, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
for x in range(len(data)):
seq.append(val)
val = val + step
if (step >= 0) and (val > self.MaxVal):
if (self.TypeCode == 'f') and val > self.MaxVal:
val = math.inf
elif (self.TypeCode == 'd') and val > self.MaxVal:
pass
else:
val = (val - (self.MaxVal + 1)) + self.MinVal
elif (step < 0) and (val < self.MinVal):
if (self.TypeCode == 'f') and val < self.MinVal:
val = -math.inf
elif (self.TypeCode == 'd') and val < self.MinVal:
pass
else:
val = (val - (self.MinVal - 1)) + self. MaxVal
return seq
########################################################
def test_count_nonfinite_01(self):
"""Test count in array code %(typecode)s - Test for NaN for start.
"""
expected = self.PyCount(self.data, math.nan, 1.0)
arrayfunc.count(self.data, math.nan, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_nonfinite_02(self):
"""Test count in array code %(typecode)s - Test for inf for start.
"""
expected = self.PyCount(self.data, math.inf, 1.0)
arrayfunc.count(self.data, math.inf, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_nonfinite_03(self):
"""Test count in array code %(typecode)s - Test for -inf for start.
"""
expected = self.PyCount(self.data, -math.inf, 1.0)
arrayfunc.count(self.data, -math.inf, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_nonfinite_04(self):
"""Test count in array code %(typecode)s - Test for nan for step.
"""
expected = self.PyCount(self.data, 0.0, math.nan)
arrayfunc.count(self.data, 0.0, math.nan)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_nonfinite_05(self):
"""Test count in array code %(typecode)s - Test for inf for step.
"""
expected = self.PyCount(self.data, 0.0, math.inf)
arrayfunc.count(self.data, 0.0, math.inf)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_count_nonfinite_06(self):
"""Test count in array code %(typecode)s - Test for -inf for step.
"""
expected = self.PyCount(self.data, 0.0, -math.inf)
arrayfunc.count(self.data, 0.0, -math.inf)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
# This is not really a non-finite test, but it is convenient to put
# it here as it is for floating point only.
def test_count_nonfinite_07(self):
"""Test count in array code %(typecode)s - start from 0, count up by a small increment.
"""
expected = self.PyCount(self.data, 0.0, 0.1)
arrayfunc.count(self.data, 0.0, 0.1)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
count_overflow_template = '''
##############################################################################
class count_overflow_%(typecode)s(unittest.TestCase):
"""Test for overflow count function.
count_overflow_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
# Create the overflow value for this data type.
if '%(typecode)s' in ('f', 'd'):
self.Overflow = self.MaxVal * 1.1
self.Underflow = self.MinVal * 1.1
self.StepOverflow = arrayfunc.arraylimits.%(maxsteptypecode)s_max * 1.1
self.StepUnderflow = arrayfunc.arraylimits.%(maxsteptypecode)s_min * 1.1
else:
self.Overflow = self.MaxVal + 1
self.Underflow = self.MinVal - 1
self.StepOverflow = arrayfunc.arraylimits.%(maxsteptypecode)s_max + 1
self.StepUnderflow = arrayfunc.arraylimits.%(maxsteptypecode)s_min - 1
self.data = array.array('%(typecode)s', [0] * self.ArrayLength)
########################################################
def test_count_ovfl_01(self):
"""Test count overflow operation in array code %(typecode)s - Test for overflow in start.
"""
with self.assertRaises(OverflowError):
arrayfunc.count(self.data, self.Overflow, 1%(zeropad)s)
########################################################
def test_count_ovfl_02(self):
"""Test count overflow operation in array code %(typecode)s - Test for overflow in step.
"""
with self.assertRaises(OverflowError):
arrayfunc.count(self.data, 0%(zeropad)s, self.StepOverflow)
########################################################
def test_count_ovfl_03(self):
"""Test count overflow operation in array code %(typecode)s - Test for underflow in start.
"""
with self.assertRaises(OverflowError):
arrayfunc.count(self.data, self.Underflow, -1%(zeropad)s)
########################################################
def test_count_ovfl_04(self):
"""Test count overflow operation in array code %(typecode)s - Test for underflow in step.
"""
with self.assertRaises(OverflowError):
arrayfunc.count(self.data, 0%(zeropad)s, self.StepUnderflow)
##############################################################################
'''
# ==============================================================================
# ==============================================================================
cycle_param_template = '''
##############################################################################
class cycle_param_%(typecode)s(unittest.TestCase):
"""Test for basic cycle parameter tests.
cycle_param_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.TypeCode = '%(typecode)s'
self.data = array.array(self.TypeCode, itertools.repeat(0%(zeropad)s, 512))
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
self.zerodata = array.array(self.TypeCode, [])
########################################################
def test_cycle_param_01(self):
"""Test cycle in array code %(typecode)s - Zero length array.
"""
with self.assertRaises(IndexError):
arrayfunc.cycle(self.zerodata, 0%(zeropad)s, 100%(zeropad)s, 100%(zeropad)s)
########################################################
def test_cycle_param_02(self):
"""Test cycle in array code %(typecode)s - Missing start parameter.
"""
with self.assertRaises(TypeError):
arrayfunc.cycle(self.data)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.cycle()
########################################################
def test_cycle_param_03(self):
"""Test cycle in array code %(typecode)s - Too many parameters.
"""
with self.assertRaises(TypeError):
arrayfunc.cycle(self.data, 0%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s, 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.cycle([1, 2, 3, 4], [1, 2, 3, 4])
########################################################
def test_cycle_param_04(self):
"""Test cycle in array code %(typecode)s - Invalid param type for array.
"""
with self.assertRaises(TypeError):
arrayfunc.cycle(1, 0%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.cycle(99)
########################################################
def test_cycle_param_05(self):
"""Test cycle in array code %(typecode)s - Invalid param type for start.
"""
with self.assertRaises(TypeError):
arrayfunc.cycle(1, 'a', 100%(zeropad)s, 1%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.cycle(99)
##############################################################################
'''
# ==============================================================================
# ==============================================================================
cycle_op_template = '''
##############################################################################
class cycle_%(typecode)s(unittest.TestCase):
"""Test for basic cycle operation function.
cycle_op_template
"""
##############################################################################
def FloatassertEqual(self, dataoutitem, expecteditem, msg=None):
"""This function is patched into assertEqual to allow testing for
the floating point special values NaN, Inf, and -Inf.
"""
# NaN cannot be compared using normal means.
if math.isnan(dataoutitem) and math.isnan(expecteditem):
pass
# Anything else can be compared normally.
else:
if not math.isclose(expecteditem, dataoutitem, rel_tol=0.01, abs_tol=0.0):
raise self.failureException('%%0.3f != %%0.3f' %% (expecteditem, dataoutitem))
########################################################
def setUp(self):
"""Initialise.
"""
# This is active for float numbers only.
self.addTypeEqualityFunc(float, self.FloatassertEqual)
self.TypeCode = '%(typecode)s'
self.ArrayLength = 512
self.data = array.array(self.TypeCode, itertools.repeat(0%(zeropad)s, self.ArrayLength))
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
########################################################
def PyCycle(self, data, start, stop, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
if start <= stop:
for x in range(len(data)):
seq.append(val)
val = val + step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val > stop:
val = start
else:
for x in range(len(data)):
seq.append(val)
val = val - step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val < stop:
val = start
return seq
########################################################
def test_cycle_01(self):
"""Test cycle in array code %(typecode)s - start from 0, count up by one, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 0%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s)
arrayfunc.cycle(self.data, 0%(zeropad)s, 100%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_02(self):
"""Test cycle in array code %(typecode)s - start from 10, count up by one, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 10%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s)
arrayfunc.cycle(self.data, 10%(zeropad)s, 100%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_03(self):
"""Test cycle in array code %(typecode)s - start from 0, count up by 7, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 0%(zeropad)s, 100%(zeropad)s, 7%(zeropad)s)
arrayfunc.cycle(self.data, 0%(zeropad)s, 100%(zeropad)s, 7%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_04(self):
"""Test cycle in array code %(typecode)s - start from 10, count up by 7, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 10%(zeropad)s, 100%(zeropad)s, 7%(zeropad)s)
arrayfunc.cycle(self.data, 10%(zeropad)s, 100%(zeropad)s, 7%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_05(self):
"""Test cycle in array code %(typecode)s - start from 10, count down by 1, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 10%(zeropad)s, 125%(zeropad)s, 1%(zeropad)s)
arrayfunc.cycle(self.data, 10%(zeropad)s, 125%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_06(self):
"""Test cycle in array code %(typecode)s - start from 10, count down by 7, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 125%(zeropad)s, 10%(zeropad)s, 7%(zeropad)s)
arrayfunc.cycle(self.data, 125%(zeropad)s, 10%(zeropad)s, 7%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
cycle_op_signed_template = '''
##############################################################################
class cycle_op_signed_%(typecode)s(unittest.TestCase):
"""Test for basic cycle operation function for signed arrays only.
cycle_op_signed_template
"""
##############################################################################
def FloatassertEqual(self, dataoutitem, expecteditem, msg=None):
"""This function is patched into assertEqual to allow testing for
the floating point special values NaN, Inf, and -Inf.
"""
# NaN cannot be compared using normal means.
if math.isnan(dataoutitem) and math.isnan(expecteditem):
pass
# Anything else can be compared normally.
else:
if not math.isclose(expecteditem, dataoutitem, rel_tol=0.01, abs_tol=0.0):
raise self.failureException('%%0.3f != %%0.3f' %% (expecteditem, dataoutitem))
########################################################
def setUp(self):
"""Initialise.
"""
# This is active for float numbers only.
self.addTypeEqualityFunc(float, self.FloatassertEqual)
self.TypeCode = '%(typecode)s'
self.ArrayLength = 512
self.data = array.array(self.TypeCode, itertools.repeat(0%(zeropad)s, self.ArrayLength))
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
########################################################
def PyCycle(self, data, start, stop, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
if start <= stop:
for x in range(len(data)):
seq.append(val)
val = val + step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val > stop:
val = start
else:
for x in range(len(data)):
seq.append(val)
val = val - step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val < stop:
val = start
return seq
########################################################
def test_cycle_op_signed_01(self):
"""Test cycle in array code %(typecode)s - start from 10, count down by 1 using a negative step, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 125%(zeropad)s, 10%(zeropad)s, -1%(zeropad)s)
arrayfunc.cycle(self.data, 125%(zeropad)s, 10%(zeropad)s, -1%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_op_signed_02(self):
"""Test cycle in array code %(typecode)s - start from -10, count up by one, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, -10%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s)
arrayfunc.cycle(self.data, -10%(zeropad)s, 100%(zeropad)s, 1%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_op_signed_03(self):
"""Test cycle in array code %(typecode)s - start from 10, down up by one, and proceed to end without limit.
"""
expected = self.PyCycle(self.data, 10%(zeropad)s, 100%(zeropad)s, -1%(zeropad)s)
arrayfunc.cycle(self.data, 10%(zeropad)s, 100%(zeropad)s, -1%(zeropad)s)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
cycle_nonfinite_template = '''
##############################################################################
class cycle_nonfinite_%(typecode)s(unittest.TestCase):
"""Test for nonfinite cycle function.
cycle_nonfinite_template
"""
##############################################################################
def FloatassertEqual(self, dataoutitem, expecteditem, msg=None):
"""This function is patched into assertEqual to allow testing for
the floating point special values NaN, Inf, and -Inf.
"""
# NaN cannot be compared using normal means.
if math.isnan(dataoutitem) and math.isnan(expecteditem):
pass
# Anything else can be compared normally.
else:
if not math.isclose(expecteditem, dataoutitem, rel_tol=0.01, abs_tol=0.0):
raise self.failureException('%%0.3f != %%0.3f' %% (expecteditem, dataoutitem))
########################################################
def setUp(self):
"""Initialise.
"""
# This is active for float numbers only.
self.addTypeEqualityFunc(float, self.FloatassertEqual)
self.ArrayLength = 512
self.TypeCode = '%(typecode)s'
self.data = array.array(self.TypeCode, itertools.repeat(0.0, self.ArrayLength))
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
########################################################
def PyCycle(self, data, start, stop, step):
"""This should produce a Python equivalent to count for unit testing.
"""
seq = []
val = start
if start <= stop:
for x in range(len(data)):
seq.append(val)
val = val + step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val > stop:
val = start
else:
for x in range(len(data)):
seq.append(val)
val = val - step
if not self.TypeCode in ('f', 'd'):
if val > self.MaxVal:
val = (val - (self.MaxVal + 1)) + self.MinVal
if val < self.MinVal:
val = (val - (self.MinVal - 1)) + self.MaxVal
if val < stop:
val = start
return seq
########################################################
def test_cycle_nonfinite_01(self):
"""Test cycle in array code %(typecode)s - Invalid param nan for start.
"""
expected = self.PyCycle(self.data, math.nan, 1000.0, 1.0)
arrayfunc.cycle(self.data, math.nan, 1000.0, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_02(self):
"""Test cycle in array code %(typecode)s - Invalid param inf for start.
"""
expected = self.PyCycle(self.data, math.inf, 1000.0, 1.0)
arrayfunc.cycle(self.data, math.inf, 1000.0, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_03(self):
"""Test cycle in array code %(typecode)s - Invalid param -inf for start.
"""
expected = self.PyCycle(self.data, -math.inf, 1000.0, 1.0)
arrayfunc.cycle(self.data, -math.inf, 1000.0, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_04(self):
"""Test cycle in array code %(typecode)s - Invalid param nan for stop.
"""
expected = self.PyCycle(self.data, 0.0, math.nan, 1.0)
arrayfunc.cycle(self.data, 0.0, math.nan, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_05(self):
"""Test cycle in array code %(typecode)s - Invalid param inf for stop.
"""
expected = self.PyCycle(self.data, 0.0, math.inf, 1.0)
arrayfunc.cycle(self.data, 0.0, math.inf, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_06(self):
"""Test cycle in array code %(typecode)s - Invalid param -inf for stop.
"""
expected = self.PyCycle(self.data, 0.0, -math.inf, 1.0)
arrayfunc.cycle(self.data, 0.0, -math.inf, 1.0)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_07(self):
"""Test cycle in array code %(typecode)s - Invalid param nan for step.
"""
expected = self.PyCycle(self.data, 0.0, 1000.0, math.nan)
arrayfunc.cycle(self.data, 0.0, 1000.0, math.nan)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_08(self):
"""Test cycle in array code %(typecode)s - Invalid param inf for step.
"""
expected = self.PyCycle(self.data, 0.0, 1000.0, math.inf)
arrayfunc.cycle(self.data, 0.0, 1000.0, math.inf)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_cycle_nonfinite_09(self):
"""Test cycle in array code %(typecode)s - Invalid param -inf for step.
"""
expected = self.PyCycle(self.data, 0.0, 1000.0, -math.inf)
arrayfunc.cycle(self.data, 0.0, 1000.0, -math.inf)
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
# This is not really a non-finite test, but it is convenient to put
# it here as it is for floating point only.
def test_cycle_nonfinite_10(self):
"""Test cycle in array code %(typecode)s - start from 0, count up by a small increment.
"""
expected = self.PyCycle(self.data, 0.0, 100.0, 0.1)
arrayfunc.cycle(self.data, 0.0, 100.0, 0.1)
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
# ==============================================================================
cycle_overflow_template = '''
##############################################################################
class cycle_overflow_%(typecode)s(unittest.TestCase):
"""Test for overflow cycle function.
cycle_overflow_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
# Create the overflow value for this data type.
if '%(typecode)s' in ('f', 'd'):
self.Overflow = self.MaxVal * 1.1
self.Underflow = self.MinVal * 1.1
self.StepOverflow = arrayfunc.arraylimits.%(typecode)s_max * 1.1
self.StepUnderflow = arrayfunc.arraylimits.%(typecode)s_min * 1.1
else:
self.Overflow = self.MaxVal + 1
self.Underflow = self.MinVal - 1
self.StepOverflow = arrayfunc.arraylimits.%(typecode)s_max + 1
self.StepUnderflow = arrayfunc.arraylimits.%(typecode)s_min - 1
self.data = array.array('%(typecode)s', [0] * self.ArrayLength)
########################################################
def test_cycle_ovfl_01(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for overflow in start.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, self.Overflow, 100%(zeropad)s, 1%(zeropad)s)
########################################################
def test_cycle_ovfl_02(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for overflow in stop.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, 100%(zeropad)s, self.Overflow, 1%(zeropad)s)
########################################################
def test_cycle_ovfl_03(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for overflow in step.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, 0%(zeropad)s, 100%(zeropad)s, self.StepOverflow)
########################################################
def test_cycle_ovfl_04(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for underflow in start.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, self.Underflow, 100%(zeropad)s, 1%(zeropad)s)
########################################################
def test_cycle_ovfl_05(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for underflow in stop.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, 100%(zeropad)s, self.Underflow, 1%(zeropad)s)
########################################################
def test_cycle_ovfl_06(self):
"""Test cycle overflow operation in array code %(typecode)s - Test for underflow in step.
"""
with self.assertRaises(OverflowError):
arrayfunc.cycle(self.data, 0%(zeropad)s, 100%(zeropad)s, self.StepUnderflow)
##############################################################################
'''
# ==============================================================================
# ==============================================================================
repeat_param_template = '''
##############################################################################
class repeat_params_%(typecode)s(unittest.TestCase):
"""Test for repeat parameter function.
repeat_param_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.data = array.array('%(typecode)s', [0] * self.ArrayLength)
self.emptydata = array.array('%(typecode)s', [])
########################################################
def test_repeat_param_01(self):
"""Test repeat in array code %(typecode)s - Zero length array.
"""
with self.assertRaises(IndexError):
arrayfunc.count(self.emptydata, 0%(zeropad)s)
########################################################
def test_repeat_param_02(self):
"""Test repeat in array code %(typecode)s - Test for invalid repeat value type.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat(self.data, 'a')
########################################################
def test_repeat_param_03(self):
"""Test repeat in array code %(typecode)s - Test for invalid repeat value type.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat(self.data, 10%(invalidzeropad)s)
########################################################
def test_repeat_param_04(self):
"""Test repeat in array code %(typecode)s - Test for invalid array parameter type.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat('a', 0%(zeropad)s)
########################################################
def test_repeat_param_05(self):
"""Test repeat in array code %(typecode)s - Test for missing all parameters.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat()
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.repeat()
########################################################
def test_repeat_param_06(self):
"""Test repeat in array code %(typecode)s - Test for missing one parameter.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat(self.data)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.repeat()
########################################################
def test_repeat_param_07(self):
"""Test repeat in array code %(typecode)s - Test for too many parameters.
"""
with self.assertRaises(TypeError):
arrayfunc.repeat(self.data, 0%(zeropad)s, 0%(zeropad)s)
# Check that the exception raised corresponds to the native Python behaviour.
with self.assertRaises(TypeError):
result = itertools.repeat(0, 3, 3)
##############################################################################
'''
# ==============================================================================
repeat_op_template = '''
##############################################################################
class repeat_op_%(typecode)s(unittest.TestCase):
"""Test for basic repeat function.
repeat_op_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.data = array.array('%(typecode)s', [10] * self.ArrayLength)
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
########################################################
def test_repeat_op_01(self):
"""Test repeat operation in array code %(typecode)s - Test for zero.
"""
arrayfunc.repeat(self.data, 0%(zeropad)s)
expected = [0%(zeropad)s] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_repeat_op_02(self):
"""Test repeat operation in array code %(typecode)s - Test for max value.
"""
arrayfunc.repeat(self.data, self.MaxVal)
expected = [self.MaxVal] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_repeat_op_03(self):
"""Test repeat operation in array code %(typecode)s - Test for min value.
"""
arrayfunc.repeat(self.data, self.MinVal)
expected = [self.MinVal] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
repeat_nonfinite_template = '''
##############################################################################
class repeat_nonfinite_%(typecode)s(unittest.TestCase):
"""Test for nonfinite repeat function.
repeat_nonfinite_template
"""
##############################################################################
def FloatassertEqual(self, dataoutitem, expecteditem, msg=None):
"""This function is patched into assertEqual to allow testing for
the floating point special values NaN, Inf, and -Inf.
"""
# NaN cannot be compared using normal means.
if math.isnan(dataoutitem) and math.isnan(expecteditem):
pass
# Anything else can be compared normally.
else:
if not math.isclose(expecteditem, dataoutitem, rel_tol=0.01, abs_tol=0.0):
raise self.failureException('%%0.3f != %%0.3f' %% (expecteditem, dataoutitem))
########################################################
def setUp(self):
"""Initialise.
"""
# This is active for float numbers only.
self.addTypeEqualityFunc(float, self.FloatassertEqual)
self.ArrayLength = 512
self.data = array.array('%(typecode)s', [10] * self.ArrayLength)
########################################################
def test_repeat_nan_01(self):
"""Test repeat non-finite operation in array code %(typecode)s - Test for NaN.
"""
arrayfunc.repeat(self.data, math.nan)
expected = [math.nan] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_repeat_inf_02(self):
"""Test repeat non-finite operation in array code %(typecode)s - Test for Inf value.
"""
arrayfunc.repeat(self.data, math.inf)
expected = [math.inf] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
########################################################
def test_repeat_ninf_03(self):
"""Test repeat non-finite operation in array code %(typecode)s - Test for Neg Inf value.
"""
arrayfunc.repeat(self.data, -math.inf)
expected = [-math.inf] * self.ArrayLength
for dataoutitem, expecteditem in zip(list(self.data), expected):
# The behavour of assertEqual is modified by addTypeEqualityFunc.
self.assertEqual(dataoutitem, expecteditem)
##############################################################################
'''
# ==============================================================================
repeat_overflow_template = '''
##############################################################################
class repeat_overflow_%(typecode)s(unittest.TestCase):
"""Test for overflow repeat function.
repeat_overflow_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.ArrayLength = 512
self.MaxVal = arrayfunc.arraylimits.%(typecode)s_max
self.MinVal = arrayfunc.arraylimits.%(typecode)s_min
# Create the overflow value for this data type.
if '%(typecode)s' in ('f', 'd'):
self.Overflow = self.MaxVal * 1.1
self.Underflow = self.MinVal * 1.1
else:
self.Overflow = self.MaxVal + 1
self.Underflow = self.MinVal - 1
self.data = array.array('%(typecode)s', [0] * self.ArrayLength)
########################################################
def test_repeat_ovfl_01(self):
"""Test repeat overflow operation in array code %(typecode)s - Test for overflow.
"""
with self.assertRaises(OverflowError):
arrayfunc.repeat(self.data, self.Overflow)
########################################################
def test_repeat_ovfl_02(self):
"""Test repeat overflow operation in array code %(typecode)s - Test for underflow.
"""
with self.assertRaises(OverflowError):
arrayfunc.repeat(self.data, self.Underflow)
##############################################################################
'''
# ==============================================================================
# The functions which are implemented by this program.
completefuncnames = ('count', 'cycle', 'repeat')
# Select the parameter test templates.
paramtemplates = {'count' : count_param_template,
'cycle' : cycle_param_template,
'repeat' : repeat_param_template
}
# Select the operation test templates.
optemplates = {'count' : count_op_template,
'cycle' : cycle_op_template,
'repeat' : repeat_op_template
}
# This is for count and cycle only.
opsignedtemplates = {'count' : count_op_signed_template,
'cycle' : cycle_op_signed_template
}
# Select the non-finite test templates.
nonfinitetemplates = {'count' : count_nonfinite_template,
'cycle' : cycle_nonfinite_template,
'repeat' : repeat_nonfinite_template
}
# Select the overflow test templates.
overflowtemplates = {'count' : count_overflow_template,
'cycle' : cycle_overflow_template,
'repeat' : repeat_overflow_template
}
# This adds decimal point values for test values used in templates.
zeropad = dict.fromkeys(codegen_common.arraycodes, '')
zeropad['f'] = '.0'
zeropad['d'] = '.0'
invalidzeropad = dict.fromkeys(codegen_common.arraycodes, '.0')
invalidzeropad['f'] = ''
invalidzeropad['d'] = ''
# The maximum step to take, as defined for each array code type by
# the corresponding array code type.
maxsteptypecode = {'b' : 'b',
'B' : 'b',
'h' : 'h',
'H' : 'h',
'i' : 'i',
'I' : 'i',
'l' : 'l',
'L' : 'l',
'q' : 'q',
'Q' : 'q',
'f' : 'f',
'd' : 'd'}
# ==============================================================================
# This defines the module name.
modulename = 'arrayfunc'
# Import the array module for testing.
arrayimport = 'import array'
for funcname in completefuncnames:
# Data for the copyright header files.
headerdate = codegen_common.FormatHeaderData('test_%s' % funcname, '11-Jun-2014', funcname)
# Add additional header data.
headerdate['modulename'] = modulename
headerdate['arrayimport'] = arrayimport
with open('test_%s.py' % funcname, 'w') as f:
# The copyright header.
f.write(codegen_common.HeaderTemplate % headerdate)
# Output the generated code for basic parameter tests.
for arraycode in codegen_common.arraycodes:
f.write(paramtemplates[funcname] % {'typecode' : arraycode,
'zeropad' : zeropad[arraycode],
'invalidzeropad' : invalidzeropad[arraycode]})
# Output the generated code for basic operation tests.
for arraycode in codegen_common.arraycodes:
f.write(optemplates[funcname] % {'typecode' : arraycode,
'zeropad' : zeropad[arraycode],
'maxsteptypecode' : maxsteptypecode[arraycode]})
# This test is for "count" and "cycle" only.
if funcname in ('count', 'cycle'):
# This is for signed arrays only.
for arraycode in (codegen_common.signedint + codegen_common.floatarrays):
f.write(opsignedtemplates[funcname] % {'typecode' : arraycode,
'zeropad' : zeropad[arraycode]})
# Output the generated code for non-finite operation tests.
for arraycode in codegen_common.floatarrays:
f.write(nonfinitetemplates[funcname] % {'typecode' : arraycode})
# Output the generated code for overflow tests.
for arraycode in codegen_common.arraycodes:
# We can't detect overflows in some array types.
if arraycode not in ('L', 'Q', 'd'):
f.write(overflowtemplates[funcname] % {'typecode' : arraycode,
'zeropad' : zeropad[arraycode],
'maxsteptypecode' : maxsteptypecode[arraycode]})
#####
# The code which initiates the unit test.
f.write(codegen_common.testendtemplate % {'funcname' : funcname, 'testprefix' : 'af'})
# ==============================================================================
| 32.644769
| 133
| 0.570675
| 6,052
| 53,668
| 4.998017
| 0.054527
| 0.039672
| 0.025093
| 0.043342
| 0.877678
| 0.866239
| 0.851362
| 0.828749
| 0.807029
| 0.766199
| 0
| 0.016226
| 0.145636
| 53,668
| 1,643
| 134
| 32.664638
| 0.643462
| 0.065197
| 0
| 0.657658
| 1
| 0.069369
| 0.941821
| 0.356737
| 0
| 0
| 0
| 0
| 0.107207
| 1
| 0
| false
| 0.00991
| 0.003604
| 0
| 0.009009
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f67aa24dda5fb77bdb8288b845f42f959158bd70
| 92
|
py
|
Python
|
2446.py
|
heltonricardo/URI
|
160cca22d94aa667177c9ebf2a1c9864c5e55b41
|
[
"MIT"
] | 6
|
2021-04-13T00:33:43.000Z
|
2022-02-10T10:23:59.000Z
|
2446.py
|
heltonricardo/URI
|
160cca22d94aa667177c9ebf2a1c9864c5e55b41
|
[
"MIT"
] | null | null | null |
2446.py
|
heltonricardo/URI
|
160cca22d94aa667177c9ebf2a1c9864c5e55b41
|
[
"MIT"
] | 3
|
2021-03-23T18:42:24.000Z
|
2022-02-10T10:24:07.000Z
|
def soma(t)
t = [int(x) for x in input().split()][0]
v = [int(x) for x in input().split()]
| 18.4
| 40
| 0.554348
| 20
| 92
| 2.55
| 0.55
| 0.156863
| 0.27451
| 0.313725
| 0.784314
| 0.784314
| 0.784314
| 0
| 0
| 0
| 0
| 0.013333
| 0.184783
| 92
| 4
| 41
| 23
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9cc3c000d7cdc421e9dfc13475da7ec37aab9673
| 2,622
|
py
|
Python
|
alembic/versions/4d94c06d5342_added_rules_to_model.py
|
codeforamerica/bizfriendly-api
|
b3f3b9f83652ec67752d629baaf0bc1d4ec67695
|
[
"BSD-Source-Code"
] | 13
|
2015-04-27T14:26:19.000Z
|
2021-11-21T16:11:17.000Z
|
alembic/versions/4d94c06d5342_added_rules_to_model.py
|
codeforamerica/bizfriendly-api
|
b3f3b9f83652ec67752d629baaf0bc1d4ec67695
|
[
"BSD-Source-Code"
] | 15
|
2015-04-25T22:29:50.000Z
|
2016-09-01T16:59:21.000Z
|
alembic/versions/4d94c06d5342_added_rules_to_model.py
|
codeforamerica/bizfriendly-api
|
b3f3b9f83652ec67752d629baaf0bc1d4ec67695
|
[
"BSD-Source-Code"
] | 9
|
2015-06-19T19:48:40.000Z
|
2021-04-16T10:27:29.000Z
|
"""Added rules to models.
Revision ID: 4d94c06d5342
Revises: 1acac3085b66
Create Date: 2013-09-27 19:12:45.209762
"""
# revision identifiers, used by Alembic.
revision = '4d94c06d5342'
down_revision = '1acac3085b66'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.alter_column('bf_user', u'name',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('category', u'name',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('connection', u'access_token',
existing_type=sa.VARCHAR(),
nullable=True)
op.alter_column('connection', u'service',
existing_type=sa.VARCHAR(),
nullable=True)
op.alter_column('lesson', u'name',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('service', u'name',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('step', u'lesson_id',
existing_type=sa.INTEGER(),
nullable=False)
op.alter_column('user_to_lesson', u'lesson_id',
existing_type=sa.INTEGER(),
nullable=False)
op.alter_column('user_to_lesson', u'user_id',
existing_type=sa.INTEGER(),
nullable=False)
### end Alembic commands ###
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.alter_column('user_to_lesson', u'user_id',
existing_type=sa.INTEGER(),
nullable=True)
op.alter_column('user_to_lesson', u'lesson_id',
existing_type=sa.INTEGER(),
nullable=True)
op.alter_column('step', u'lesson_id',
existing_type=sa.INTEGER(),
nullable=True)
op.alter_column('service', u'name',
existing_type=sa.VARCHAR(),
nullable=True)
op.alter_column('lesson', u'name',
existing_type=sa.VARCHAR(),
nullable=True)
op.alter_column('connection', u'service',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('connection', u'access_token',
existing_type=sa.VARCHAR(),
nullable=False)
op.alter_column('category', u'name',
existing_type=sa.VARCHAR(),
nullable=True)
op.alter_column('bf_user', u'name',
existing_type=sa.VARCHAR(),
nullable=True)
### end Alembic commands ###
| 33.189873
| 63
| 0.578947
| 294
| 2,622
| 4.97619
| 0.197279
| 0.086124
| 0.159945
| 0.172249
| 0.820916
| 0.820916
| 0.820916
| 0.817498
| 0.814764
| 0.814764
| 0
| 0.028169
| 0.295957
| 2,622
| 78
| 64
| 33.615385
| 0.764355
| 0.114416
| 0
| 0.9
| 0
| 0
| 0.132809
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033333
| false
| 0
| 0.033333
| 0
| 0.066667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9cce403af9ab82a71f94637dc13586ef7116fb4d
| 1,691
|
py
|
Python
|
CASutils/plotposition_utils.py
|
islasimpson/CASanalysis
|
b150a4ca1e216c1e847835602cf60e5fa12dd385
|
[
"Apache-2.0"
] | 1
|
2022-02-13T07:59:36.000Z
|
2022-02-13T07:59:36.000Z
|
CASutils/plotposition_utils.py
|
islasimpson/CASanalysis
|
b150a4ca1e216c1e847835602cf60e5fa12dd385
|
[
"Apache-2.0"
] | null | null | null |
CASutils/plotposition_utils.py
|
islasimpson/CASanalysis
|
b150a4ca1e216c1e847835602cf60e5fa12dd385
|
[
"Apache-2.0"
] | 2
|
2021-04-15T22:28:05.000Z
|
2021-06-17T20:40:13.000Z
|
def get3by3coords():
""" positioning for 3x3 plots """
x1 = [0.05,0.37,0.69,0.05,0.37,0.69,0.05,0.37,0.69]
x2 = [0.32,0.64,0.95,0.32,0.64,0.95,0.32,0.64,0.95]
y1 = [0.8,0.8,0.8,0.59,0.59,0.59,0.38,0.38,0.38]
y2 = [0.95,0.95,0.95,0.74,0.74,0.74,0.53,0.53,0.53]
return x1, x2, y1, y2
def get3by4coords():
""" positioning for 3x3 plots """
x1 = [0.05,0.37,0.69,0.05,0.37,0.69,0.05,0.37,0.69,0.05,0.37,0.69]
x2 = [0.32,0.64,0.95,0.32,0.64,0.95,0.32,0.64,0.95,0.32,0.64,0.95]
y1 = [0.8,0.8,0.8,0.59,0.59,0.59,0.38,0.38,0.38,0.17,0.17,0.17]
y2 = [0.95,0.95,0.95,0.74,0.74,0.74,0.53,0.53,0.53,0.32,0.32,0.32]
return x1, x2, y1, y2
def get4by4coords():
""" positioning for 4x4 plots """
x1 = [0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76]
x2 = [0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94]
y1 = [0.8,0.8,0.8,0.8,0.59,0.59,0.59,0.59,0.38,0.38,0.38,0.38,0.17,0.17,0.17,0.17]
y2 = [0.95,0.95,0.95,0.95,0.74,0.74,0.74,0.74,0.53,0.53,0.53,0.53,0.32,0.32,0.32,0.32]
return x1, x2, y1, y2
def get4by5coords():
""" positioning for 4x4 plots """
x1 = [0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,
0.04,0.28,0.52,0.76]
x2 = [0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,
0.22,0.46,0.7,0.94]
y1 = [0.82,0.82,0.82,0.82,0.63,0.63,0.63,0.63,0.44,0.44,0.44,0.44,0.25,0.25,0.25,0.25,
0.06,0.06,0.06,0.06]
y2 = [0.95,0.95,0.95,0.95,0.76,0.76,0.76,0.76,0.57,0.57,0.57,0.57,0.38,0.38,0.38,0.38,
0.19,0.19,0.19,0.19]
return x1, x2, y1, y2
| 38.431818
| 90
| 0.535186
| 516
| 1,691
| 1.753876
| 0.083333
| 0.069613
| 0.083978
| 0.066298
| 0.939227
| 0.923757
| 0.880663
| 0.80221
| 0.801105
| 0.78674
| 0
| 0.494795
| 0.147842
| 1,691
| 43
| 91
| 39.325581
| 0.133241
| 0.062685
| 0
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 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
| 9
|
9ccfc40c3159444eec3d1685ac39d57a75575cd2
| 149
|
py
|
Python
|
tutorials_for_myself/my_pytorch/ddp.py
|
pestun/ultimate-utils
|
676002e80422067256c43172a78825ed12954bcb
|
[
"MIT"
] | 5
|
2021-03-13T16:07:26.000Z
|
2021-09-09T17:00:36.000Z
|
tutorials_for_myself/my_pytorch/ddp.py
|
pestun/ultimate-utils
|
676002e80422067256c43172a78825ed12954bcb
|
[
"MIT"
] | 8
|
2021-03-09T21:52:09.000Z
|
2021-12-02T17:23:33.000Z
|
tutorials_for_myself/my_pytorch/ddp.py
|
pestun/ultimate-utils
|
676002e80422067256c43172a78825ed12954bcb
|
[
"MIT"
] | 5
|
2021-03-24T20:38:43.000Z
|
2022-03-17T07:54:12.000Z
|
#%%
"""
basic ddp example with a synthetic data loader.
"""
from uutils.torch_uu.distributed import test_basic_ddp_example
test_basic_ddp_example()
| 18.625
| 62
| 0.791946
| 22
| 149
| 5.045455
| 0.681818
| 0.216216
| 0.405405
| 0.342342
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114094
| 149
| 7
| 63
| 21.285714
| 0.840909
| 0.33557
| 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
|
142882b8e907d00ea18d695d7f50220dfeb918fe
| 81
|
py
|
Python
|
plare/lang/__init__.py
|
HenryLee97/plare
|
54161c8f8457eb140ad0af911dd4959c43ea715c
|
[
"MIT"
] | null | null | null |
plare/lang/__init__.py
|
HenryLee97/plare
|
54161c8f8457eb140ad0af911dd4959c43ea715c
|
[
"MIT"
] | null | null | null |
plare/lang/__init__.py
|
HenryLee97/plare
|
54161c8f8457eb140ad0af911dd4959c43ea715c
|
[
"MIT"
] | null | null | null |
from plare.lang.type import build as build_lang
from plare.lang.type import Type
| 27
| 47
| 0.82716
| 15
| 81
| 4.4
| 0.466667
| 0.272727
| 0.393939
| 0.515152
| 0.69697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123457
| 81
| 2
| 48
| 40.5
| 0.929577
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
144e0cd56ba69d3a36bdadda51a1256a5d60de50
| 21,479
|
py
|
Python
|
utils/networks.py
|
JeremieMelo/maddpg-pytorch
|
906c6823202aab820cc4a92acd68e6d3dec53dc7
|
[
"MIT"
] | null | null | null |
utils/networks.py
|
JeremieMelo/maddpg-pytorch
|
906c6823202aab820cc4a92acd68e6d3dec53dc7
|
[
"MIT"
] | null | null | null |
utils/networks.py
|
JeremieMelo/maddpg-pytorch
|
906c6823202aab820cc4a92acd68e6d3dec53dc7
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# coding=UTF-8
'''
@Author: Jake Gu
@Date: 2019-03-19 12:16:41
@LastEditTime: 2019-03-20 22:20:26
'''
import torch.nn as nn
import torch.nn.functional as F
import torch
class MLPNetwork(nn.Module):
"""
MLP network (can be used as value or policy)
"""
def __init__(self, input_dim, out_dim, hidden_dim=64, nonlin=F.relu,
constrain_out=False, norm_in=True, discrete_action=True):
"""
Inputs:
input_dim (int): Number of dimensions in input
out_dim (int): Number of dimensions in output
hidden_dim (int): Number of hidden dimensions
nonlin (PyTorch function): Nonlinearity to apply to hidden layers
"""
super(MLPNetwork, self).__init__()
if norm_in: # normalize inputs
self.in_fn = nn.BatchNorm1d(input_dim)
self.in_fn.weight.data.fill_(1)
self.in_fn.bias.data.fill_(0)
else:
self.in_fn = lambda x: x
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, hidden_dim)
self.fc3 = nn.Linear(hidden_dim, out_dim)
self.nonlin = nonlin
if constrain_out and not discrete_action:
# initialize small to prevent saturation
self.fc3.weight.data.uniform_(-3e-3, 3e-3)
self.out_fn = F.tanh
else: # logits for discrete action (will softmax later)
self.out_fn = lambda x: x
def forward(self, X):
"""
Inputs:
X (PyTorch Matrix): Batch of observations
Outputs:
out (PyTorch Matrix): Output of network (actions, values, etc)
"""
h1 = self.nonlin(self.fc1(self.in_fn(X)))
h2 = self.nonlin(self.fc2(h1))
out = self.out_fn(self.fc3(h2))
return out
class RNNMLPNetwork_Critic_Adversary(nn.Module):
def __init__(self, agent_id, n_agent_ori, n_adversary_ori, n_agent, n_adversary, input_dim, out_dim, hidden_dim=64, nonlin=F.relu,
constrain_out=False, norm_in=True, discrete_action=True, shuffle=True):
"""
Inputs:
input_dim (int): Number of dimensions in input
out_dim (int): Number of dimensions in output
hidden_dim (int): Number of hidden dimensions
nonlin (PyTorch function): Nonlinearity to apply to hidden layers
"""
super(RNNMLPNetwork_Critic_Adversary, self).__init__()
self.agent_id = agent_id
self.n_agent_ori = n_agent_ori
self.n_adversary_ori = n_adversary_ori
self.n_agent = n_agent
self.n_adversary = n_adversary
self.n_neurons = input_dim
self.shuffle = shuffle
self.n_landmark = 2
self.ag_obs_len = 2+2+2*self.n_landmark+(2+2)*(self.n_agent-1)+2*self.n_adversary
self.ad_obs_len = 2+2+2*self.n_landmark+2*(self.n_adversary-1)+(2+2)*self.n_agent
self.ag_act_len = 2
self.ad_act_len=2
if norm_in: # normalize inputs
self.in_fn = nn.BatchNorm1d(input_dim)
self.in_fn.weight.data.fill_(1)
self.in_fn.bias.data.fill_(0)
else:
self.in_fn = lambda x: x
#self.rnn_agent = nn.RNN(2, 2*self.n_agent_ori) #o-a pair
self.rnn_other_adversary = nn.RNN(self.ad_obs_len+self.ad_act_len,
(self.ad_obs_len+self.ad_act_len)*(self.n_adversary_ori-1))
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, hidden_dim)
self.fc3 = nn.Linear(hidden_dim, out_dim)
self.nonlin = nonlin
if constrain_out and not discrete_action:
# initialize small to prevent saturation
self.fc3.weight.data.uniform_(-3e-3, 3e-3)
self.out_fn = F.tanh
else: # logits for discrete action (will softmax later)
self.out_fn = lambda x: x
def init_hidden(self, n_neurons, batch_size, device):
# (num_layers, batch_size, n_neurons)
return (torch.zeros(1, batch_size, n_neurons, device=device))
def split(self, X):
L = X.size(1)
batch_size = X.size(0)
# self is adversary
n_landmark = self.n_landmark
ag_obs_len = self.ag_obs_len
ad_obs_len = self.ad_obs_len
ag_act_len = self.ag_act_len
ad_act_len = self.ad_act_len
total_obs = ad_obs_len*self.n_adversary+ag_obs_len*self.n_agent
X_obs, X_act = X[:, :total_obs], X[:,total_obs:]
agent_obs = X_obs[:, self.n_adversary*ad_obs_len : self.n_adversary*ad_obs_len + self.n_agent*ag_obs_len]
agent_act = X_act[:, self.ag_act_len*self.n_adversary:self.ag_act_len*self.n_adversary+self.ag_act_len*self.n_agent]
agent_X = torch.cat([agent_obs, agent_act], dim=1)
other_adversary_obs = torch.cat([X_obs[:, : self.agent_id*ad_obs_len],
X_obs[:, (self.agent_id + 1)*ad_obs_len : self.n_adversary*ad_obs_len]],
dim=1)
other_adversary_obs = other_adversary_obs.view([batch_size, self.n_adversary - 1, -1])
other_adversary_act = torch.cat([X_act[:, : self.agent_id*ad_act_len],
X_act[:, (self.agent_id + 1)*ad_act_len : self.n_adversary*ad_act_len]],
dim=1)
other_adversary_act = other_adversary_act.view([batch_size, self.n_adversary - 1, -1])
other_adversary_X = torch.cat([other_adversary_obs,
other_adversary_act],
dim=2)
self_X = torch.cat([X_obs[:,self.agent_id*ad_obs_len:(self.agent_id+1)*ad_obs_len],
X_act[:,self.agent_id*ad_act_len:(self.agent_id+1)*ad_act_len]],
dim=1)
return agent_X, other_adversary_X, self_X
def forward(self, X):# X[o0,o1,...,on, a0, a1,...,an]
"""
Inputs:
X (PyTorch Matrix): Batch of observations
Outputs:
out (PyTorch Matrix): Output of network (actions, values, etc)
"""
# transforms X to dimensions: n_steps X batch_size X n_inputs
batch_size = X.size(0)
#print(f'x size:{X.size()}')
if(self.shuffle):
idx = torch.randperm(self.n_neurons)
X = X[:, idx]
X = self.in_fn(X)
agent_X, other_adversary_X, self_X = self.split(X)
#print(agent_X.size(), other_adversary_X.size(), self_X.size())
# agent_X = agent_X.permute(1, 0, 2)
other_adversary_X = other_adversary_X.permute(1,0,2)
#print(f'x size after reshape:{X.size()}')
#self.hidden_agent = self.init_hidden(2*self.n_agent_ori, batch_size, device=X.device)
self.hidden_other_adversary = self.init_hidden((self.ad_obs_len+self.ad_act_len)*(self.n_adversary_ori-1), batch_size, device=X.device)
#print(f'hidden size before rnn:{self.hidden.size()}')
#_, self.hidden_agent = self.rnn_agent(agent_X, self.hidden_agent)
_, self.hidden_other_adversary = self.rnn_other_adversary(other_adversary_X, self.hidden_other_adversary)
#print(f'hidden size after rnn:{self.hidden.size()}')
#self.hidden_agent = self.hidden_agent.view([batch_size, -1])
self.hidden_other_adversary = self.hidden_other_adversary.view([batch_size,-1])
X = torch.cat([agent_X, self.hidden_other_adversary, self_X], dim=1)
h1 = self.nonlin(self.fc1(X))
h2 = self.nonlin(self.fc2(h1))
out = self.out_fn(self.fc3(h2))
#print(f'out size:{out.size()}')
return out
class RNNMLPNetwork_Policy_Adversary(nn.Module):
def __init__(self, agent_id, n_agent_ori, n_adversary_ori, n_agent, n_adversary, input_dim, out_dim, hidden_dim=64, nonlin=F.relu,
constrain_out=False, norm_in=True, discrete_action=True, shuffle=True):
"""
Inputs:
input_dim (int): Number of dimensions in input
out_dim (int): Number of dimensions in output
hidden_dim (int): Number of hidden dimensions
nonlin (PyTorch function): Nonlinearity to apply to hidden layers
"""
super(RNNMLPNetwork_Policy_Adversary, self).__init__()
self.agent_id = agent_id
self.n_agent_ori = n_agent_ori
self.n_adversary_ori = n_adversary_ori
self.n_agent = n_agent
self.n_adversary = n_adversary
self.n_neurons = input_dim
self.shuffle = shuffle
if norm_in: # normalize inputs
self.in_fn = nn.BatchNorm1d(input_dim)
self.in_fn.weight.data.fill_(1)
self.in_fn.bias.data.fill_(0)
else:
self.in_fn = lambda x: x
self.rnn_agent = nn.RNN(2+2, self.n_agent_ori*(2+2)) #obs
self.rnn_other_adversary = nn.RNN(2, 2*(self.n_adversary_ori-1))
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, hidden_dim)
self.fc3 = nn.Linear(hidden_dim, out_dim)
self.nonlin = nonlin
if constrain_out and not discrete_action:
# initialize small to prevent saturation
self.fc3.weight.data.uniform_(-3e-3, 3e-3)
self.out_fn = F.tanh
else: # logits for discrete action (will softmax later)
self.out_fn = lambda x: x
def init_hidden(self, n_neurons, batch_size, device):
# (num_layers, batch_size, n_neurons)
return (torch.zeros(1, batch_size, n_neurons, device=device))
def split(self, X):#X is obs:[self_vel, self_pos, landmark_pos, other_pos, other_vel] (16)
L = X.size(1)
batch_size = X.size(0)
# self is adversary
n_landmark=2
self_X = X[:, :2+2+2*n_landmark]
agent_X = X[:, 2+2+2*n_landmark+(self.n_adversary-1)*2:]
agent_pos = agent_X[:,:int(agent_X.size(1)/2)]
agent_vel = agent_X[:,int(agent_X.size(1)/2):]
agent_pos = agent_pos.view([batch_size,int(agent_pos.size(1)/2),2])
agent_vel = agent_vel.view([batch_size,int(agent_vel.size(1)/2),2])
agent_X = torch.cat([agent_pos, agent_vel], dim=2)
other_adversary_X = X[:,2+2+2*n_landmark : 2+2+2*n_landmark+2*(self.n_adversary-1)]
other_adversary_X = other_adversary_X.view([batch_size, int(other_adversary_X.size(1)/2),2])
return agent_X, other_adversary_X, self_X
def forward(self, X):# X is obs:[self_vel, self_pos, landmark_pos, other_pos, other_vel] (16)
"""
Inputs:
X (PyTorch Matrix): Batch of observations
Outputs:
out (PyTorch Matrix): Output of network (actions, values, etc)
"""
# transforms X to dimensions: n_steps X batch_size X n_inputs
batch_size = X.size(0)
#print(f'x size:{X.size()}')
if(self.shuffle):
idx = torch.randperm(self.n_neurons)
X = X[:, idx]
X = self.in_fn(X)
agent_X, other_adversary_X, self_X = self.split(X)
agent_X = agent_X.permute(1, 0, 2)
other_adversary_X = other_adversary_X.permute(1,0,2)
#print(f'x size after reshape:{X.size()}')
self.hidden_agent = self.init_hidden((2+2)*self.n_agent_ori, batch_size, device=X.device)
self.hidden_other_adversary = self.init_hidden(2*(self.n_adversary_ori-1), batch_size, device=X.device)
#print(f'hidden size before rnn:{self.hidden.size()}')
_, self.hidden_agent = self.rnn_agent(agent_X, self.hidden_agent)
_, self.hidden_other_adversary = self.rnn_other_adversary(other_adversary_X, self.hidden_other_adversary)
#print(f'hidden size after rnn:{self.hidden.size()}')
self.hidden_agent = self.hidden_agent.view([batch_size, -1])
self.hidden_other_adversary = self.hidden_other_adversary.view([batch_size,-1])
X = torch.cat([self.hidden_agent, self.hidden_other_adversary, self_X], dim=1)
#print(self.hidden_agent.size(), self.hidden_other_adversary.size(), self_X.size())
h1 = self.nonlin(self.fc1(X))
h2 = self.nonlin(self.fc2(h1))
out = self.out_fn(self.fc3(h2))
#print(f'out size:{out.size()}')
return out
class RNNMLPNetwork_Critic_Agent(nn.Module):
def __init__(self, agent_id, n_agent_ori, n_adversary_ori, n_agent, n_adversary, input_dim, out_dim, hidden_dim=64, nonlin=F.relu,
constrain_out=False, norm_in=True, discrete_action=True, shuffle=True):
"""
Inputs:
input_dim (int): Number of dimensions in input
out_dim (int): Number of dimensions in output
hidden_dim (int): Number of hidden dimensions
nonlin (PyTorch function): Nonlinearity to apply to hidden layers
"""
super(RNNMLPNetwork_Critic_Agent, self).__init__()
self.agent_id = agent_id
self.n_agent_ori = n_agent_ori
self.n_adversary_ori = n_adversary_ori
self.n_agent = n_agent
self.n_adversary = n_adversary
self.n_neurons = input_dim
self.shuffle = shuffle
self.n_landmark = 2
self.ag_obs_len = 2+2+2*self.n_landmark+(2+2)*(self.n_agent-1)+2*self.n_adversary
self.ad_obs_len = 2+2+2*self.n_landmark+2*(self.n_adversary-1)+(2+2)*self.n_agent
self.ag_act_len = 2
self.ad_act_len=2
if norm_in: # normalize inputs
self.in_fn = nn.BatchNorm1d(input_dim)
self.in_fn.weight.data.fill_(1)
self.in_fn.bias.data.fill_(0)
else:
self.in_fn = lambda x: x
#self.rnn_agent = nn.RNN(2, 2*self.n_agent_ori) #o-a pair
self.rnn_adversary = nn.RNN(self.ad_obs_len+self.ad_act_len, (self.ad_obs_len+self.ad_act_len)*self.n_adversary_ori)
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, hidden_dim)
self.fc3 = nn.Linear(hidden_dim, out_dim)
self.nonlin = nonlin
if constrain_out and not discrete_action:
# initialize small to prevent saturation
self.fc3.weight.data.uniform_(-3e-3, 3e-3)
self.out_fn = F.tanh
else: # logits for discrete action (will softmax later)
self.out_fn = lambda x: x
def init_hidden(self, n_neurons, batch_size, device):
# (num_layers, batch_size, n_neurons)
return (torch.zeros(1, batch_size, n_neurons, device=device))
def split(self, X):
L = X.size(1)
batch_size = X.size(0)
# self is agent
n_landmark = self.n_landmark
ag_obs_len = self.ag_obs_len
ad_obs_len = self.ad_obs_len
ag_act_len = self.ag_act_len
ad_act_len = self.ad_act_len
total_obs = ad_obs_len*self.n_adversary+ag_obs_len*self.n_agent
X_obs, X_act = X[:, :total_obs], X[:,total_obs:]
agent_obs = X_obs[:, self.n_adversary*ad_obs_len : self.n_adversary*ad_obs_len + self.n_agent*ag_obs_len]
agent_act = X_act[:, self.ag_act_len*self.n_adversary:self.ag_act_len*self.n_adversary+self.ag_act_len*self.n_agent]
agent_X = torch.cat([agent_obs, agent_act], dim=1)
adversary_obs = X_obs[:, : self.n_adversary*ad_obs_len]
adversary_obs = adversary_obs.view([batch_size, self.n_adversary, -1])
adversary_act = X_act[:, : self.n_adversary*ad_act_len]
adversary_act = adversary_act.view([batch_size, self.n_adversary, -1])
adversary_X = torch.cat([adversary_obs, adversary_act], dim=2)
return agent_X, adversary_X
def forward(self, X):# X[o0,o1,...,on, a0, a1,...,an]
"""
Inputs:
X (PyTorch Matrix): Batch of observations
Outputs:
out (PyTorch Matrix): Output of network (actions, values, etc)
"""
# transforms X to dimensions: n_steps X batch_size X n_inputs
batch_size = X.size(0)
#print(f'x size:{X.size()}')
if(self.shuffle):
idx = torch.randperm(self.n_neurons)
X = X[:, idx]
X = self.in_fn(X)
agent_X, adversary_X = self.split(X)
#agent_X = agent_X.permute(1, 0, 2)
adversary_X = adversary_X.permute(1,0,2)
#print(f'x size after reshape:{X.size()}')
#self.hidden_agent = self.init_hidden(2*self.n_agent_ori, batch_size, device=X.device)
self.hidden_adversary = self.init_hidden((self.ad_obs_len+self.ad_act_len)*self.n_adversary_ori, batch_size, device=X.device)
#print(f'hidden size before rnn:{self.hidden.size()}')
#_, self.hidden_agent = self.rnn_agent(agent_X, self.hidden_agent)
_, self.hidden_adversary = self.rnn_adversary(adversary_X, self.hidden_adversary)
#print(f'hidden size after rnn:{self.hidden.size()}')
#self.hidden_agent = self.hidden_agent.view([batch_size, -1])
self.hidden_adversary = self.hidden_adversary.view([batch_size,-1])
X = torch.cat([agent_X, self.hidden_adversary], dim=1)
h1 = self.nonlin(self.fc1(X))
h2 = self.nonlin(self.fc2(h1))
out = self.out_fn(self.fc3(h2))
#print(f'out size:{out.size()}')
return out
class RNNMLPNetwork_Policy_Agent(nn.Module):
def __init__(self, agent_id, n_agent_ori, n_adversary_ori, n_agent, n_adversary, input_dim, out_dim, hidden_dim=64, nonlin=F.relu,
constrain_out=False, norm_in=True, discrete_action=True, shuffle=True):
"""
Inputs:
input_dim (int): Number of dimensions in input
out_dim (int): Number of dimensions in output
hidden_dim (int): Number of hidden dimensions
nonlin (PyTorch function): Nonlinearity to apply to hidden layers
"""
super(RNNMLPNetwork_Policy_Agent, self).__init__()
self.agent_id = agent_id
self.n_agent_ori = n_agent_ori
self.n_adversary_ori = n_adversary_ori
self.n_agent = n_agent
self.n_adversary = n_adversary
self.n_neurons = input_dim
self.shuffle = shuffle
if norm_in: # normalize inputs
self.in_fn = nn.BatchNorm1d(input_dim)
self.in_fn.weight.data.fill_(1)
self.in_fn.bias.data.fill_(0)
else:
self.in_fn = lambda x: x
self.rnn_agent = nn.RNN(1, self.n_agent_ori) #obs
self.rnn_adversary = nn.RNN(2, 2*self.n_adversary_ori)
self.fc1 = nn.Linear(input_dim, hidden_dim)
self.fc2 = nn.Linear(hidden_dim, hidden_dim)
self.fc3 = nn.Linear(hidden_dim, out_dim)
self.nonlin = nonlin
if constrain_out and not discrete_action:
# initialize small to prevent saturation
self.fc3.weight.data.uniform_(-3e-3, 3e-3)
self.out_fn = F.tanh
else: # logits for discrete action (will softmax later)
self.out_fn = lambda x: x
def init_hidden(self, n_neurons, batch_size, device):
# (num_layers, batch_size, n_neurons)
return (torch.zeros(1, batch_size, n_neurons, device=device))
def split(self, X):
L = X.size(1)
batch_size = X.size(0)
# self is agent
n_landmark=2
self_X = X[:, :2+2+2*n_landmark]
other_agent_X = X[:, 2+2+2*n_landmark+self.n_adversary*2:]
agent_X = torch.cat([self_X, other_agent_X], dim=1)
adversary_X = X[:,2+2+2*n_landmark : 2+2+2*n_landmark+2*self.n_adversary]
adversary_X = adversary_X.view([batch_size, int(adversary_X.size(1)/2),2])
return agent_X, adversary_X
def forward(self, X):# X[o0,o1,...,on]
"""
Inputs:
X (PyTorch Matrix): Batch of observations
Outputs:
out (PyTorch Matrix): Output of network (actions, values, etc)
"""
# transforms X to dimensions: n_steps X batch_size X n_inputs
batch_size = X.size(0)
#print(f'x size:{X.size()}')
if(self.shuffle):
idx = torch.randperm(self.n_neurons)
X = X[:, idx]
X = self.in_fn(X)
agent_X, adversary_X = self.split(X)
adversary_X = adversary_X.permute(1,0,2)
#print(f'x size after reshape:{X.size()}')
# self.hidden_agent = self.init_hidden(self.n_agent_ori, batch_size, device=X.device)
self.hidden_adversary = self.init_hidden(2*self.n_adversary_ori, batch_size, device=X.device)
#print(f'hidden size before rnn:{self.hidden.size()}')
# _, self.hidden_agent = self.rnn_agent(agent_X, self.hidden_agent)
_, self.hidden_adversary = self.rnn_adversary(adversary_X, self.hidden_adversary)
#print(f'hidden size after rnn:{self.hidden.size()}')
# self.hidden_agent = self.hidden_agent.view([batch_size, -1])
self.hidden_adversary = self.hidden_adversary.view([batch_size,-1])
X = torch.cat([agent_X, self.hidden_adversary], dim=1)
h1 = self.nonlin(self.fc1(X))
h2 = self.nonlin(self.fc2(h1))
out = self.out_fn(self.fc3(h2))
#print(f'out size:{out.size()}')
return out
| 44.747917
| 143
| 0.613529
| 3,147
| 21,479
| 3.912297
| 0.050524
| 0.035737
| 0.047758
| 0.026235
| 0.955003
| 0.931449
| 0.920322
| 0.914392
| 0.903752
| 0.880848
| 0
| 0.020194
| 0.271474
| 21,479
| 480
| 144
| 44.747917
| 0.766616
| 0.229527
| 0
| 0.79322
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.061017
| false
| 0
| 0.010169
| 0.013559
| 0.132203
| 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
|
148eacf13507e2e2ab580d3fdfd8a0e28e4f8099
| 220
|
py
|
Python
|
python/grit/common/model/version/__init__.py
|
ground-context/grit
|
3edd0a6c3ec2797fcd090690d6075db0c1965f5f
|
[
"Apache-2.0"
] | 1
|
2018-03-01T03:29:17.000Z
|
2018-03-01T03:29:17.000Z
|
python/grit/common/model/version/__init__.py
|
ground-context/grit
|
3edd0a6c3ec2797fcd090690d6075db0c1965f5f
|
[
"Apache-2.0"
] | 1
|
2018-03-22T16:57:55.000Z
|
2018-03-22T16:57:55.000Z
|
python/grit/common/model/version/__init__.py
|
ground-context/grit
|
3edd0a6c3ec2797fcd090690d6075db0c1965f5f
|
[
"Apache-2.0"
] | 2
|
2018-11-20T19:53:16.000Z
|
2021-02-25T15:48:46.000Z
|
import grit.common.model.version.item
import grit.common.model.version.tag
import grit.common.model.version.version
import grit.common.model.version.version_history_dag
import grit.common.model.version.version_successor
| 36.666667
| 52
| 0.863636
| 33
| 220
| 5.666667
| 0.30303
| 0.26738
| 0.427807
| 0.561497
| 0.860963
| 0.561497
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 220
| 5
| 53
| 44
| 0.890476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 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
|
149449c1afedf90fdf4b8a7c97174988f42da88a
| 37,290
|
py
|
Python
|
sdk/python/pulumi_azure/machinelearning/inference_cluster.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2018-06-18T00:19:44.000Z
|
2022-02-20T05:32:57.000Z
|
sdk/python/pulumi_azure/machinelearning/inference_cluster.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 663
|
2018-06-18T21:08:46.000Z
|
2022-03-31T20:10:11.000Z
|
sdk/python/pulumi_azure/machinelearning/inference_cluster.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 41
|
2018-07-19T22:37:38.000Z
|
2022-03-14T10:56:26.000Z
|
# 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
from . import outputs
from ._inputs import *
__all__ = ['InferenceClusterArgs', 'InferenceCluster']
@pulumi.input_type
class InferenceClusterArgs:
def __init__(__self__, *,
kubernetes_cluster_id: pulumi.Input[str],
machine_learning_workspace_id: pulumi.Input[str],
cluster_purpose: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
identity: Optional[pulumi.Input['InferenceClusterIdentityArgs']] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
ssl: Optional[pulumi.Input['InferenceClusterSslArgs']] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a InferenceCluster resource.
:param pulumi.Input[str] kubernetes_cluster_id: The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] machine_learning_workspace_id: The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] cluster_purpose: The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] description: The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input['InferenceClusterIdentityArgs'] identity: An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] location: The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] name: The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input['InferenceClusterSslArgs'] ssl: A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
pulumi.set(__self__, "kubernetes_cluster_id", kubernetes_cluster_id)
pulumi.set(__self__, "machine_learning_workspace_id", machine_learning_workspace_id)
if cluster_purpose is not None:
pulumi.set(__self__, "cluster_purpose", cluster_purpose)
if description is not None:
pulumi.set(__self__, "description", description)
if identity is not None:
pulumi.set(__self__, "identity", identity)
if location is not None:
pulumi.set(__self__, "location", location)
if name is not None:
pulumi.set(__self__, "name", name)
if ssl is not None:
pulumi.set(__self__, "ssl", ssl)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="kubernetesClusterId")
def kubernetes_cluster_id(self) -> pulumi.Input[str]:
"""
The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "kubernetes_cluster_id")
@kubernetes_cluster_id.setter
def kubernetes_cluster_id(self, value: pulumi.Input[str]):
pulumi.set(self, "kubernetes_cluster_id", value)
@property
@pulumi.getter(name="machineLearningWorkspaceId")
def machine_learning_workspace_id(self) -> pulumi.Input[str]:
"""
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "machine_learning_workspace_id")
@machine_learning_workspace_id.setter
def machine_learning_workspace_id(self, value: pulumi.Input[str]):
pulumi.set(self, "machine_learning_workspace_id", value)
@property
@pulumi.getter(name="clusterPurpose")
def cluster_purpose(self) -> Optional[pulumi.Input[str]]:
"""
The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "cluster_purpose")
@cluster_purpose.setter
def cluster_purpose(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_purpose", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def identity(self) -> Optional[pulumi.Input['InferenceClusterIdentityArgs']]:
"""
An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "identity")
@identity.setter
def identity(self, value: Optional[pulumi.Input['InferenceClusterIdentityArgs']]):
pulumi.set(self, "identity", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def ssl(self) -> Optional[pulumi.Input['InferenceClusterSslArgs']]:
"""
A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "ssl")
@ssl.setter
def ssl(self, value: Optional[pulumi.Input['InferenceClusterSslArgs']]):
pulumi.set(self, "ssl", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@pulumi.input_type
class _InferenceClusterState:
def __init__(__self__, *,
cluster_purpose: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
identity: Optional[pulumi.Input['InferenceClusterIdentityArgs']] = None,
kubernetes_cluster_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
machine_learning_workspace_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
ssl: Optional[pulumi.Input['InferenceClusterSslArgs']] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering InferenceCluster resources.
:param pulumi.Input[str] cluster_purpose: The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] description: The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input['InferenceClusterIdentityArgs'] identity: An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] kubernetes_cluster_id: The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] location: The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] machine_learning_workspace_id: The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] name: The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input['InferenceClusterSslArgs'] ssl: A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
if cluster_purpose is not None:
pulumi.set(__self__, "cluster_purpose", cluster_purpose)
if description is not None:
pulumi.set(__self__, "description", description)
if identity is not None:
pulumi.set(__self__, "identity", identity)
if kubernetes_cluster_id is not None:
pulumi.set(__self__, "kubernetes_cluster_id", kubernetes_cluster_id)
if location is not None:
pulumi.set(__self__, "location", location)
if machine_learning_workspace_id is not None:
pulumi.set(__self__, "machine_learning_workspace_id", machine_learning_workspace_id)
if name is not None:
pulumi.set(__self__, "name", name)
if ssl is not None:
pulumi.set(__self__, "ssl", ssl)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="clusterPurpose")
def cluster_purpose(self) -> Optional[pulumi.Input[str]]:
"""
The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "cluster_purpose")
@cluster_purpose.setter
def cluster_purpose(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_purpose", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def identity(self) -> Optional[pulumi.Input['InferenceClusterIdentityArgs']]:
"""
An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "identity")
@identity.setter
def identity(self, value: Optional[pulumi.Input['InferenceClusterIdentityArgs']]):
pulumi.set(self, "identity", value)
@property
@pulumi.getter(name="kubernetesClusterId")
def kubernetes_cluster_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "kubernetes_cluster_id")
@kubernetes_cluster_id.setter
def kubernetes_cluster_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "kubernetes_cluster_id", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter(name="machineLearningWorkspaceId")
def machine_learning_workspace_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "machine_learning_workspace_id")
@machine_learning_workspace_id.setter
def machine_learning_workspace_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "machine_learning_workspace_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def ssl(self) -> Optional[pulumi.Input['InferenceClusterSslArgs']]:
"""
A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "ssl")
@ssl.setter
def ssl(self, value: Optional[pulumi.Input['InferenceClusterSslArgs']]):
pulumi.set(self, "ssl", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
class InferenceCluster(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
cluster_purpose: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
identity: Optional[pulumi.Input[pulumi.InputType['InferenceClusterIdentityArgs']]] = None,
kubernetes_cluster_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
machine_learning_workspace_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
ssl: Optional[pulumi.Input[pulumi.InputType['InferenceClusterSslArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
"""
Manages a Machine Learning Inference Cluster.
> **NOTE:** The Machine Learning Inference Cluster resource is used to attach an existing AKS cluster to the Machine Learning Workspace, it doesn't create the AKS cluster itself. Therefore it can only be created and deleted, not updated. Any change to the configuration will recreate the resource.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup",
location="west europe",
tags={
"stage": "example",
})
example_insights = azure.appinsights.Insights("exampleInsights",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
application_type="web")
example_key_vault = azure.keyvault.KeyVault("exampleKeyVault",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
tenant_id=current.tenant_id,
sku_name="standard",
purge_protection_enabled=True)
example_account = azure.storage.Account("exampleAccount",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
account_tier="Standard",
account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("exampleWorkspace",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
application_insights_id=example_insights.id,
key_vault_id=example_key_vault.id,
storage_account_id=example_account.id,
identity=azure.machinelearning.WorkspaceIdentityArgs(
type="SystemAssigned",
))
example_virtual_network = azure.network.VirtualNetwork("exampleVirtualNetwork",
address_spaces=["10.1.0.0/16"],
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
example_subnet = azure.network.Subnet("exampleSubnet",
resource_group_name=example_resource_group.name,
virtual_network_name=example_virtual_network.name,
address_prefix="10.1.0.0/24")
example_kubernetes_cluster = azure.containerservice.KubernetesCluster("exampleKubernetesCluster",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
default_node_pool=azure.containerservice.KubernetesClusterDefaultNodePoolArgs(
name="default",
node_count=3,
vm_size="Standard_D3_v2",
vnet_subnet_id=example_subnet.id,
),
identity=azure.containerservice.KubernetesClusterIdentityArgs(
type="SystemAssigned",
))
example_inference_cluster = azure.machinelearning.InferenceCluster("exampleInferenceCluster",
location=example_resource_group.location,
cluster_purpose="FastProd",
kubernetes_cluster_id=example_kubernetes_cluster.id,
description="This is an example cluster used with Terraform",
machine_learning_workspace_id=example_workspace.id,
tags={
"stage": "example",
})
```
## Import
Machine Learning Inference Clusters can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:machinelearning/inferenceCluster:InferenceCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] cluster_purpose: The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] description: The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[pulumi.InputType['InferenceClusterIdentityArgs']] identity: An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] kubernetes_cluster_id: The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] location: The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] machine_learning_workspace_id: The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] name: The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[pulumi.InputType['InferenceClusterSslArgs']] ssl: A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: InferenceClusterArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a Machine Learning Inference Cluster.
> **NOTE:** The Machine Learning Inference Cluster resource is used to attach an existing AKS cluster to the Machine Learning Workspace, it doesn't create the AKS cluster itself. Therefore it can only be created and deleted, not updated. Any change to the configuration will recreate the resource.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup",
location="west europe",
tags={
"stage": "example",
})
example_insights = azure.appinsights.Insights("exampleInsights",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
application_type="web")
example_key_vault = azure.keyvault.KeyVault("exampleKeyVault",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
tenant_id=current.tenant_id,
sku_name="standard",
purge_protection_enabled=True)
example_account = azure.storage.Account("exampleAccount",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
account_tier="Standard",
account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("exampleWorkspace",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
application_insights_id=example_insights.id,
key_vault_id=example_key_vault.id,
storage_account_id=example_account.id,
identity=azure.machinelearning.WorkspaceIdentityArgs(
type="SystemAssigned",
))
example_virtual_network = azure.network.VirtualNetwork("exampleVirtualNetwork",
address_spaces=["10.1.0.0/16"],
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
example_subnet = azure.network.Subnet("exampleSubnet",
resource_group_name=example_resource_group.name,
virtual_network_name=example_virtual_network.name,
address_prefix="10.1.0.0/24")
example_kubernetes_cluster = azure.containerservice.KubernetesCluster("exampleKubernetesCluster",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
default_node_pool=azure.containerservice.KubernetesClusterDefaultNodePoolArgs(
name="default",
node_count=3,
vm_size="Standard_D3_v2",
vnet_subnet_id=example_subnet.id,
),
identity=azure.containerservice.KubernetesClusterIdentityArgs(
type="SystemAssigned",
))
example_inference_cluster = azure.machinelearning.InferenceCluster("exampleInferenceCluster",
location=example_resource_group.location,
cluster_purpose="FastProd",
kubernetes_cluster_id=example_kubernetes_cluster.id,
description="This is an example cluster used with Terraform",
machine_learning_workspace_id=example_workspace.id,
tags={
"stage": "example",
})
```
## Import
Machine Learning Inference Clusters can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:machinelearning/inferenceCluster:InferenceCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
```
:param str resource_name: The name of the resource.
:param InferenceClusterArgs 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(InferenceClusterArgs, 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,
cluster_purpose: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
identity: Optional[pulumi.Input[pulumi.InputType['InferenceClusterIdentityArgs']]] = None,
kubernetes_cluster_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
machine_learning_workspace_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
ssl: Optional[pulumi.Input[pulumi.InputType['InferenceClusterSslArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, 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__ = InferenceClusterArgs.__new__(InferenceClusterArgs)
__props__.__dict__["cluster_purpose"] = cluster_purpose
__props__.__dict__["description"] = description
__props__.__dict__["identity"] = identity
if kubernetes_cluster_id is None and not opts.urn:
raise TypeError("Missing required property 'kubernetes_cluster_id'")
__props__.__dict__["kubernetes_cluster_id"] = kubernetes_cluster_id
__props__.__dict__["location"] = location
if machine_learning_workspace_id is None and not opts.urn:
raise TypeError("Missing required property 'machine_learning_workspace_id'")
__props__.__dict__["machine_learning_workspace_id"] = machine_learning_workspace_id
__props__.__dict__["name"] = name
__props__.__dict__["ssl"] = ssl
__props__.__dict__["tags"] = tags
super(InferenceCluster, __self__).__init__(
'azure:machinelearning/inferenceCluster:InferenceCluster',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
cluster_purpose: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
identity: Optional[pulumi.Input[pulumi.InputType['InferenceClusterIdentityArgs']]] = None,
kubernetes_cluster_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
machine_learning_workspace_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
ssl: Optional[pulumi.Input[pulumi.InputType['InferenceClusterSslArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'InferenceCluster':
"""
Get an existing InferenceCluster 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] cluster_purpose: The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] description: The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[pulumi.InputType['InferenceClusterIdentityArgs']] identity: An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] kubernetes_cluster_id: The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] location: The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] machine_learning_workspace_id: The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[str] name: The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[pulumi.InputType['InferenceClusterSslArgs']] ssl: A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _InferenceClusterState.__new__(_InferenceClusterState)
__props__.__dict__["cluster_purpose"] = cluster_purpose
__props__.__dict__["description"] = description
__props__.__dict__["identity"] = identity
__props__.__dict__["kubernetes_cluster_id"] = kubernetes_cluster_id
__props__.__dict__["location"] = location
__props__.__dict__["machine_learning_workspace_id"] = machine_learning_workspace_id
__props__.__dict__["name"] = name
__props__.__dict__["ssl"] = ssl
__props__.__dict__["tags"] = tags
return InferenceCluster(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="clusterPurpose")
def cluster_purpose(self) -> pulumi.Output[Optional[str]]:
"""
The purpose of the Inference Cluster. Options are `DevTest`, `DenseProd` and `FastProd`. If used for Development or Testing, use `DevTest` here. Default purpose is `FastProd`, which is recommended for production workloads. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "cluster_purpose")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def identity(self) -> pulumi.Output[Optional['outputs.InferenceClusterIdentity']]:
"""
An `identity` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "identity")
@property
@pulumi.getter(name="kubernetesClusterId")
def kubernetes_cluster_id(self) -> pulumi.Output[str]:
"""
The ID of the Kubernetes Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "kubernetes_cluster_id")
@property
@pulumi.getter
def location(self) -> pulumi.Output[str]:
"""
The Azure Region where the Machine Learning Inference Cluster should exist. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter(name="machineLearningWorkspaceId")
def machine_learning_workspace_id(self) -> pulumi.Output[str]:
"""
The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "machine_learning_workspace_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name which should be used for this Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def ssl(self) -> pulumi.Output[Optional['outputs.InferenceClusterSsl']]:
"""
A `ssl` block as defined below. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "ssl")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
A mapping of tags which should be assigned to the Machine Learning Inference Cluster. Changing this forces a new Machine Learning Inference Cluster to be created.
"""
return pulumi.get(self, "tags")
| 54.677419
| 349
| 0.687798
| 4,291
| 37,290
| 5.800746
| 0.063622
| 0.084368
| 0.093528
| 0.118316
| 0.927886
| 0.91752
| 0.906834
| 0.899562
| 0.895344
| 0.888393
| 0
| 0.003644
| 0.2273
| 37,290
| 681
| 350
| 54.757709
| 0.860207
| 0.50842
| 0
| 0.791925
| 1
| 0
| 0.123642
| 0.07169
| 0
| 0
| 0
| 0
| 0
| 1
| 0.161491
| false
| 0.003106
| 0.021739
| 0
| 0.279503
| 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
|
149dc1f3fbf071dd2b1bc82636cd4f0a2f1a7767
| 41
|
py
|
Python
|
test/fixtures/python/corpus/import-statement.B.py
|
matsubara0507/semantic
|
67899f701abc0f1f0cb4374d8d3c249afc33a272
|
[
"MIT"
] | 8,844
|
2019-05-31T15:47:12.000Z
|
2022-03-31T18:33:51.000Z
|
test/fixtures/python/corpus/import-statement.B.py
|
matsubara0507/semantic
|
67899f701abc0f1f0cb4374d8d3c249afc33a272
|
[
"MIT"
] | 401
|
2019-05-31T18:30:26.000Z
|
2022-03-31T16:32:29.000Z
|
test/fixtures/python/corpus/import-statement.B.py
|
matsubara0507/semantic
|
67899f701abc0f1f0cb4374d8d3c249afc33a272
|
[
"MIT"
] | 504
|
2019-05-31T17:55:03.000Z
|
2022-03-30T04:15:04.000Z
|
import b, a
import a.c as e
import b.c.d
| 10.25
| 15
| 0.682927
| 12
| 41
| 2.333333
| 0.583333
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.219512
| 41
| 3
| 16
| 13.666667
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
1ad9208946510744683c1c326065a4c142243ee1
| 176
|
py
|
Python
|
jumpscale/packages/polls/bottle/__init__.py
|
zaibon/js-sdk
|
cd1d26f2c3343884c1927ceef7c1e12e3f7da905
|
[
"Apache-2.0"
] | 13
|
2020-09-02T09:05:08.000Z
|
2022-03-12T02:43:24.000Z
|
jumpscale/packages/polls/bottle/__init__.py
|
zaibon/js-sdk
|
cd1d26f2c3343884c1927ceef7c1e12e3f7da905
|
[
"Apache-2.0"
] | 1,998
|
2020-06-15T11:46:10.000Z
|
2022-03-24T22:12:41.000Z
|
jumpscale/packages/polls/bottle/__init__.py
|
zaibon/js-sdk
|
cd1d26f2c3343884c1927ceef7c1e12e3f7da905
|
[
"Apache-2.0"
] | 8
|
2020-09-29T06:50:35.000Z
|
2021-06-14T03:30:52.000Z
|
"""Bottle server for tf council
End points
- http://localhost/polls/api/names : print list of voters names
- http://localhost/polls/api/results : print the votes results
"""
| 22
| 63
| 0.732955
| 26
| 176
| 4.961538
| 0.730769
| 0.20155
| 0.27907
| 0.325581
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142045
| 176
| 7
| 64
| 25.142857
| 0.854305
| 0.954545
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2136156e965b15a3c89e4894d0d092b623bf7512
| 97,948
|
py
|
Python
|
docs/tutorials/11c - Electric Futures Simulations BIFACIAL (PVSC) CLEANUP.py
|
NREL/PV-DEMICE
|
6e2938950ff10c37f176f46aeb76c78de609f535
|
[
"BSD-3-Clause"
] | 12
|
2021-01-28T13:44:16.000Z
|
2022-03-20T07:28:48.000Z
|
docs/tutorials/11c - Electric Futures Simulations BIFACIAL (PVSC) CLEANUP.py
|
NREL/PV_DEMICE
|
6e2938950ff10c37f176f46aeb76c78de609f535
|
[
"BSD-3-Clause"
] | 6
|
2020-12-22T21:12:54.000Z
|
2021-09-24T19:50:15.000Z
|
docs/tutorials/11c - Electric Futures Simulations BIFACIAL (PVSC) CLEANUP.py
|
NREL/PV_DEMICE
|
6e2938950ff10c37f176f46aeb76c78de609f535
|
[
"BSD-3-Clause"
] | 1
|
2020-04-09T17:36:28.000Z
|
2020-04-09T17:36:28.000Z
|
#!/usr/bin/env python
# coding: utf-8
# # PVSC 2021 Paper
# ### Electrification Futures BASE Installations,
# ### with Module Composition Scenarios for 'TODAY' and 'Bifacial Projection';
# ### RELIABILITY APPROACHES: IRENA EL, IRENA RL, PV ICE
# ### And Bifaciality Factor Considerations PV ICE Same Installs and PV ICE Reduced Installs
#
# In[1]:
import os
from pathlib import Path
testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'PVSC')
print ("Your simulation will be stored in %s" % testfolder)
# In[2]:
if not os.path.exists(testfolder):
os.makedirs(testfolder)
# In[3]:
MATERIALS = ['glass','aluminium_frames','silver','silicon', 'copper']
MATERIAL = MATERIALS[0]
MODULEBASELINE = r'..\..\baselines\ElectrificationFutures_2021\baseline_modules_US_NREL_Electrification_Futures_2021_basecase.csv'
# In[4]:
import PV_ICE
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# In[5]:
PV_ICE.__version__
# In[6]:
plt.rcParams.update({'font.size': 22})
plt.rcParams['figure.figsize'] = (12, 5)
# # Simulation 1: Regular PV ICE
# In[7]:
MATERIALBASELINE_GLASS_TODAY = r'..\..\baselines\PVSC_2021\baseline_material_glass_hold2020.csv'
MATERIALBASELINE_ALFrames_TODAY = r'..\..\baselines\PVSC_2021\baseline_material_aluminium_frames_hold2020.csv'
MATERIALBASELINE_GLASS_BIFACIALPROJECTION = r'..\..\baselines\PVSC_2021\baseline_material_glass_bifacialTrend.csv'
MATERIALBASELINE_ALFrames_BIFACIALPROJECTION = r'..\..\baselines\PVSC_2021\baseline_material_aluminium_frames_bifacialTrend.csv'
# In[8]:
r1 = PV_ICE.Simulation(name='PV_ICE', path=testfolder)
r1.createScenario(name='Today', file=MODULEBASELINE)
r1.scenario['Today'].addMaterial('glass', file=MATERIALBASELINE_GLASS_TODAY)
r1.scenario['Today'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_TODAY)
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r1.scenario['Today'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r1.createScenario(name='Bifacial', file=MODULEBASELINE)
r1.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_BIFACIALPROJECTION)
r1.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_BIFACIALPROJECTION)
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r1.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
# In[9]:
MATERIALBASELINE_Mono = r'..\..\baselines\PVSC_2021\baseline_modules_US_ITRPVPrediction_monofacialModules.csv'
MATERIALBASELINE_Bifi = r'..\..\baselines\PVSC_2021\baseline_modules_US_ITRPVPrediction_bifacialModules.csv'
bifacialityfactors = r'..\..\baselines\baseline_bifaciality_factor.csv'
r0a = PV_ICE.Simulation(name='Mono', path=testfolder)
r0a.createScenario(name='Bifacial', file=MATERIALBASELINE_Mono)
r0a.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_TODAY)
r0a.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_TODAY)
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r0a.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r0b = PV_ICE.Simulation(name='Bifacial_ReducedInstalls', path=testfolder)
r0b.createScenario(name='Bifacial', file=MATERIALBASELINE_Bifi)
r0b.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_BIFACIALPROJECTION)
r0b.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_BIFACIALPROJECTION)
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r0b.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
# In[10]:
r0c = PV_ICE.Simulation(name='Bifacial_SameInstalls', path=testfolder)
r0c.createScenario(name='Bifacial', file=MATERIALBASELINE_Bifi)
r0c.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_BIFACIALPROJECTION)
r0c.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_BIFACIALPROJECTION)
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r0c.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
# In[11]:
# BifacialProjection.Bifacial --> now "Bifacial_ReducedInstalls.Bifacial"
# BifacialProjection.Mono --> now 'Mono.Bifacial'
# SameInstalls.Bifacial_SameInstalls --> now Bifacial_SameInstalls.Bifacial"
# In[12]:
# Irena EL
r2 = PV_ICE.Simulation(name='Irena_EL', path=testfolder)
r2.createScenario(name='Today', file=MODULEBASELINE)
r2.scenario['Today'].data['mod_lifetime'] = 40
r2.scenario['Today'].data['mod_MFG_eff'] = 100.0
r2.scenario['Today'].addMaterial('glass', file=MATERIALBASELINE_GLASS_TODAY)
r2.scenario['Today'].material['glass'].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Today'].material['glass'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r2.scenario['Today'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_TODAY)
r2.scenario['Today'].material['aluminium_frames'].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Today'].material['aluminium_frames'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r2.scenario['Today'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r2.scenario['Today'].material[MATERIALS[mat]].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Today'].material[MATERIALS[mat]].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r2.createScenario(name='Bifacial', file=MODULEBASELINE)
r2.scenario['Bifacial'].data['mod_lifetime'] = 40
r2.scenario['Bifacial'].data['mod_MFG_eff'] = 100.0
r2.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_BIFACIALPROJECTION)
r2.scenario['Bifacial'].material['glass'].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Bifacial'].material['glass'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r2.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_BIFACIALPROJECTION)
r2.scenario['Bifacial'].material['aluminium_frames'].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Bifacial'].material['aluminium_frames'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r2.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r2.scenario['Bifacial'].material[MATERIALS[mat]].materialdata['mat_MFG_eff'] = 100.0
r2.scenario['Bifacial'].material[MATERIALS[mat]].materialdata['mat_MFG_scrap_Recycled'] = 0.0
# In[13]:
# Irena RL
r3 = PV_ICE.Simulation(name='Irena_RL', path=testfolder)
r3.createScenario(name='Today', file=MODULEBASELINE)
r3.scenario['Today'].data['mod_lifetime'] = 40
r3.scenario['Today'].data['mod_MFG_eff'] = 100.0
r3.scenario['Today'].addMaterial('glass', file=MATERIALBASELINE_GLASS_TODAY)
r3.scenario['Today'].material['glass'].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Today'].material['glass'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r3.scenario['Today'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_TODAY)
r3.scenario['Today'].material['aluminium_frames'].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Today'].material['aluminium_frames'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r3.scenario['Today'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r3.scenario['Today'].material[MATERIALS[mat]].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Today'].material[MATERIALS[mat]].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r3.createScenario(name='Bifacial', file=MODULEBASELINE)
r3.scenario['Bifacial'].data['mod_lifetime'] = 40
r3.scenario['Bifacial'].data['mod_MFG_eff'] = 100.0
r3.scenario['Bifacial'].addMaterial('glass', file=MATERIALBASELINE_GLASS_BIFACIALPROJECTION)
r3.scenario['Bifacial'].material['glass'].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Bifacial'].material['glass'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
r3.scenario['Bifacial'].addMaterial('aluminium_frames', file=MATERIALBASELINE_ALFrames_BIFACIALPROJECTION)
r3.scenario['Bifacial'].material['aluminium_frames'].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Bifacial'].material['aluminium_frames'].materialdata['mat_MFG_scrap_Recycled'] = 0.0
for mat in range (2, len(MATERIALS)):
MATERIALBASELINE=r'..\..\baselines\baseline_material_'+MATERIALS[mat]+'.csv'
r3.scenario['Bifacial'].addMaterial(MATERIALS[mat], file=MATERIALBASELINE)
r3.scenario['Bifacial'].material[MATERIALS[mat]].materialdata['mat_MFG_eff'] = 100.0
r3.scenario['Bifacial'].material[MATERIALS[mat]].materialdata['mat_MFG_scrap_Recycled'] = 0.0
# # Run Simulations
# In[14]:
r0a.calculateMassFlow() # Mono.Bifacial
r0b.calculateMassFlow(bifacialityfactors=bifacialityfactors) # Bifacial_ReducedInstalls.Bifacial
r0c.calculateMassFlow(bifacialityfactors=bifacialityfactors, reducecapacity=False) # Bifacial_SameInstalls.Bifacial
r1.calculateMassFlow()
# In[15]:
weibullInputParams = {'alpha': 2.49, 'beta':30} # Early-loss scenario IRENA
r2.calculateMassFlow(weibullInputParams=weibullInputParams)
weibullInputParams = {'alpha': 5.3759, 'beta':30} # Regular-loss scenario IRENA
r3.calculateMassFlow(weibullInputParams=weibullInputParams)
# ## Creating Summary of results
#
# In[16]:
Simulations = [r0a, r0b, r0c, r1, r2, r3]
# In[17]:
USyearly=pd.DataFrame()
# In[18]:
keyword='mat_Total_Landfilled'
materials = ['glass', 'aluminium_frames','silicon', 'silver', 'copper']
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for jj in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[jj]
for ii in range (0, len(materials)):
material = materials[ii]
foo = obj.scenario[case].material[material].materialdata[keyword].copy()
foo = foo.to_frame(name=material)
USyearly["Waste_"+material+'_'+obj.name+'_'+case] = foo[material]
filter_col = [col for col in USyearly if (col.startswith('Waste') and col.endswith(obj.name+'_'+case)) ]
USyearly['Waste_Module_'+obj.name+'_'+case] = USyearly[filter_col].sum(axis=1)
# In[19]:
keyword='mat_Total_EOL_Landfilled'
materials = ['glass', 'aluminium_frames','silicon', 'silver', 'copper']
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for jj in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[jj]
for ii in range (0, len(materials)):
material = materials[ii]
foo = obj.scenario[case].material[material].materialdata[keyword].copy()
foo = foo.to_frame(name=material)
USyearly["Waste_EOL_"+material+'_'+obj.name+'_'+case] = foo[material]
filter_col = [col for col in USyearly if (col.startswith('Waste') and col.endswith(obj.name+'_'+case)) ]
USyearly['Waste_EOL_Module_'+obj.name+'_'+case] = USyearly[filter_col].sum(axis=1)
# In[20]:
keyword='mat_Total_MFG_Landfilled'
materials = ['glass', 'aluminium_frames','silicon', 'silver', 'copper']
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for jj in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[jj]
for ii in range (0, len(materials)):
material = materials[ii]
foo = obj.scenario[case].material[material].materialdata[keyword].copy()
foo = foo.to_frame(name=material)
USyearly["Waste_MFG_"+material+'_'+obj.name+'_'+case] = foo[material]
filter_col = [col for col in USyearly if (col.startswith('Waste') and col.endswith(obj.name+'_'+case)) ]
USyearly['Waste_MFG_Module_'+obj.name+'_'+case] = USyearly[filter_col].sum(axis=1)
# In[21]:
keyword='mat_Virgin_Stock'
materials = ['glass', 'aluminium_frames','silicon', 'silver', 'copper']
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for jj in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[jj]
for ii in range (0, len(materials)):
material = materials[ii]
foo = obj.scenario[case].material[material].materialdata[keyword].copy()
foo = foo.to_frame(name=material)
USyearly["VirginStock_"+material+'_'+obj.name+'_'+case] = foo[material]
filter_col = [col for col in USyearly if (col.startswith('Waste') and col.endswith(obj.name+'_'+case)) ]
USyearly['VirginStock_Module_'+obj.name+'_'+case] = USyearly[filter_col].sum(axis=1)
# ### Converting to grams to METRIC Tons.
#
# In[22]:
USyearly = USyearly/1000000 # This is the ratio for Metric tonnes
#907185 -- this is for US tons
# ### Adding NEW Installed Capacity to US
# In[23]:
keyword='new_Installed_Capacity_[MW]'
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
newcolname = keyword+'_'+obj.name
if newcolname in USyearly:
USyearly[newcolname] = USyearly[newcolname]+obj.scenario[list(obj.scenario.keys())[0]].data[keyword]
else:
USyearly[keyword+'_'+obj.name] = obj.scenario[list(obj.scenario.keys())[0]].data[keyword]
USyearly.head(10)
# # Combining BifacialProjection
# In[24]:
filter_col_Bifacial_ReducedInstalls = [col for col in USyearly if col.endswith('Bifacial_ReducedInstalls_Bifacial')]
filter_col_Mono = [col for col in USyearly if col.endswith('Mono_Bifacial')]
filter_col_Bifacial_SameInstalls = [col for col in USyearly if col.endswith('Bifacial_SameInstalls_Bifacial')]
# In[25]:
new_col_titles = filter_col_Bifacial_ReducedInstalls.copy()
new_col_titles = [x[:-9] for x in new_col_titles]
df_Bifacial_ReducedInstalls = pd.DataFrame(USyearly[filter_col_Bifacial_ReducedInstalls].values + USyearly[filter_col_Mono].values, columns=new_col_titles)
USyearly = pd.concat([USyearly, df_Bifacial_ReducedInstalls], axis=1)
USyearly = USyearly[USyearly.columns.drop(filter_col_Bifacial_ReducedInstalls)]
# In[26]:
new_col_titles = filter_col_Bifacial_SameInstalls.copy()
new_col_titles = [x[:-9] for x in new_col_titles]
df_Bifacial_SameInstalls = pd.DataFrame(USyearly[filter_col_Bifacial_SameInstalls].values + USyearly[filter_col_Mono].values, columns=new_col_titles)
USyearly = pd.concat([USyearly, df_Bifacial_SameInstalls], axis=1)
USyearly = USyearly[USyearly.columns.drop(filter_col_Bifacial_SameInstalls)]
# In[27]:
USyearly = USyearly[USyearly.columns.drop(filter_col_Mono)]
# ### Creating Cuulatives
# In[28]:
UScum = USyearly.copy()
UScum = UScum.cumsum()
UScum.head()
# ### Adding Installed Capacity to US
# In[29]:
keyword='Installed_Capacity_[W]'
# Loop over objects
for kk in range(0, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for jj in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[jj]
foo = obj.scenario[case].data[keyword]
foo = foo.to_frame(name=keyword)
UScum["Capacity_"+obj.name+'_'+case] = foo[keyword]
# In[30]:
UScum['Capacity_Bifacial_ReducedInstalls'] = UScum['Capacity_Mono_Bifacial'] + UScum['Capacity_Bifacial_ReducedInstalls_Bifacial']
UScum['Capacity_Bifacial_SameInstalls'] = UScum['Capacity_Mono_Bifacial'] + UScum['Capacity_Bifacial_SameInstalls_Bifacial']
# In[31]:
UScum = UScum[UScum.columns.drop(['Capacity_Mono_Bifacial','Capacity_Bifacial_ReducedInstalls_Bifacial', 'Capacity_Bifacial_SameInstalls_Bifacial'])]
# ### Reindexing
# In[32]:
USyearly.index = r1.scenario['Today'].data['year']
UScum.index = r1.scenario['Today'].data['year']
# In[33]:
UScum.tail(5)
# In[34]:
UScum.to_csv('Cumulative_Results.csv')
USyearly.to_csv('Yearly_Results.csv')
# In[ ]:
# ## Mining Capacity
# In[35]:
mining2020_aluminum = 65267000
mining2020_silver = 22260
mining2020_copper = 20000000
mining2020_silicon = 8000000
# # PLOTTING GALORE
# In[36]:
list(USyearly.keys())
# In[ ]:
# In[37]:
#VirginStock_glass_PVSC_Today
#VirginStock_glass_PVSC_Bifacial
plt.rcParams.update({'font.size': 10})
plt.rcParams['figure.figsize'] = (12, 8)
keyw='VirginStock_'
materials = ['glass', 'silicon','silver', 'copper', 'aluminium_frames']
fig, axs = plt.subplots(1,1, figsize=(4, 6), facecolor='w', edgecolor='k')
fig.subplots_adjust(hspace = .3, wspace=.2)
# Loop over CASES
name2 = 'PV_ICE_Today'
name0 = 'PV_ICE_Bifacial'
# ROW 2, Aluminum and Silicon: g- 4 aluminum k - 1 silicon orange - 3 copper gray - 2 silver
axs.plot(USyearly[keyw+materials[2]+'_'+name2]*100/mining2020_silver,
color = 'gray', linewidth=2.0, label='Silver')
axs.fill_between(USyearly.index, USyearly[keyw+materials[2]+'_'+name0]*100/mining2020_silver,
USyearly[keyw+materials[2]+'_'+name2]*100/mining2020_silver,
color='gray', lw=3, alpha=.3)
axs.plot(USyearly[keyw+materials[1]+'_'+name2]*100/mining2020_silicon,
color = 'k', linewidth=2.0, label='Silicon')
axs.fill_between(USyearly.index, USyearly[keyw+materials[1]+'_'+name0]*100/mining2020_silicon,
USyearly[keyw+materials[1]+'_'+name2]*100/mining2020_silicon,
color='k', lw=3, alpha=.5)
axs.plot(USyearly[keyw+materials[4]+'_'+name2]*100/mining2020_aluminum,
color = 'g', linewidth=2.0, label='Aluminum')
axs.fill_between(USyearly.index, USyearly[keyw+materials[4]+'_'+name0]*100/mining2020_aluminum,
USyearly[keyw+materials[4]+'_'+name2]*100/mining2020_aluminum,
color='g', lw=3, alpha=.3)
axs.plot(USyearly[keyw+materials[3]+'_'+name2]*100/mining2020_copper,
color = 'orange', linewidth=2.0, label='Copper')
axs.fill_between(USyearly.index, USyearly[keyw+materials[3]+'_'+name0]*100/mining2020_copper,
USyearly[keyw+materials[3]+'_'+name2]*100/mining2020_copper,
color='orange', lw=3, alpha=.3)
axs.set_xlim([2020,2050])
axs.legend()
#axs.set_yscale('log')
axs.set_ylabel('Virgin material needs as a percentage of \n 2020 global mining production capacity [%]')
#fig.savefig(os.path.join(testfolder,'Fig_1x1_MaterialNeeds Ratio to Production_NREL2018.png'), dpi=600)
# In[38]:
bifacial_foo = USyearly[keyw+materials[4]+'_'+name0].iloc[-1]*100/mining2020_aluminum
today_foo = USyearly[keyw+materials[4]+'_'+name2].iloc[-1]*100/mining2020_aluminum
print(today_foo)
print(bifacial_foo)
print("In Year 2050, AL Needs Ratio to Mining Supply REDUCTION Of ", (today_foo-bifacial_foo)*100/today_foo-bifacial_foo)
# In[39]:
bifacial_foo = USyearly[keyw+materials[4]+'_'+name0].sum()*100/mining2020_aluminum
today_foo = USyearly[keyw+materials[4]+'_'+name2].sum()*100/mining2020_aluminum
print(today_foo)
print(bifacial_foo)
print("Cumulative 2020-2050 AL Needs Ratio to Mining Supply REDUCTION Of ", (today_foo-bifacial_foo)*100/today_foo-bifacial_foo)
# In[40]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='VirginStock_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [3, 1]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'PV_ICE_Today'
name2 = 'PV_ICE_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k.', linewidth=5, label='S1: '+name0+' module mass')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='S1: '+name0+' glass mass only')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'c.', linewidth=5, label='S2: '+name2+' module mass')
a0.plot(USyearly.index, glassmat, 'c', linewidth=5, label='S2: '+name2+' glass mass only')
a0.fill_between(USyearly.index, glassmat, modulemat, color='c', alpha=0.3,
interpolate=True)
a0.legend()
a0.set_title('Yearly Virgin Material Needs by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
## Plot BARS Stuff
ind=np.arange(2)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.set_ylabel('Virgin Material Cumulative Needs 2020-2050 [Million Tonnes]')
a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly Virgin Material Needs by Scenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Virgin Needs by 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[41]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_EOL_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [3, 1]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'PV_ICE_Today'
name2 = 'PV_ICE_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k.', linewidth=5, label='S1: '+name0+' module mass')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='S1: '+name0+' glass mass only')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'c.', linewidth=5, label='S2: '+name2+' module mass')
a0.plot(USyearly.index, glassmat, 'c', linewidth=5, label='S2: '+name2+' glass mass only')
a0.fill_between(USyearly.index, glassmat, modulemat, color='c', alpha=0.3,
interpolate=True)
a0.legend()
a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
## Plot BARS Stuff
ind=np.arange(2)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# # Waste_ EOL
# In[42]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_EOL_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'Irena_EL_Today'
name2 = 'Irena_EL_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend()
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
#a1.yaxis.set_visible(False)
a1.yaxis.set_ticklabels([])
#a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[43]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_EOL_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'Irena_RL_Today'
name2 = 'Irena_RL_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend()
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[1] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_A.iloc[0]
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[1] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_B.iloc[0]
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[44]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_EOL_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'PV_ICE_Today'
name2 = 'PV_ICE_Bifacial'
#name3 = 'BifacialProjection'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
'''
# SCENARIO 3 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name3]+USyearly[keyw+materials[1]+'_'+name3]+
USyearly[keyw+materials[2]+'_'+name3]+USyearly[keyw+materials[3]+'_'+name3]+
USyearly[keyw+materials[4]+'_'+name3])
glassmat = (USyearly[keyw+materials[0]+'_'+name3])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'g', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'g', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
'''
a0.legend(loc=2)
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_A.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_A.iloc[1]
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_B.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_B.iloc[1]
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[45]:
# PLOT FOR PAPER
plt.rcParams.update({'font.size': 20})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_EOL_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
#f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [0.5,0.25,0.25]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'PV_ICE_Today'
name2 = 'PV_ICE_Bifacial'
#name3 = 'BifacialProjection'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Current tech: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Current tech: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Incrased bifacial: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Incrased bifacial: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
'''
# SCENARIO 3 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name3]+USyearly[keyw+materials[1]+'_'+name3]+
USyearly[keyw+materials[2]+'_'+name3]+USyearly[keyw+materials[3]+'_'+name3]+
USyearly[keyw+materials[4]+'_'+name3])
glassmat = (USyearly[keyw+materials[0]+'_'+name3])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'g', linestyle='dotted', linewidth=5, label='Incrased bifacial: module')
a0.plot(USyearly.index, glassmat, 'g', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
'''
#a0.title('Yearly')
a0.legend(loc=2)
a0.set_title('Yearly')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_A.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_A.iloc[1]
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.yaxis.set_ticklabels([])
#a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45, fontsize=17)
plt.tick_params(axis='y', which='minor', bottom=False)
plt.title('Current Tech')
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_B.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_B.iloc[1]
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material \nby 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(1.2, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45, fontsize=17)
plt.tick_params(axis='y', which='minor', bottom=False)
plt.title('Increased bifacial')
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# # Waste_ EOL + MFG
# In[46]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'Irena_EL_Today'
name2 = 'Irena_EL_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend()
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
#a1.yaxis.set_visible(False)
a1.yaxis.set_ticklabels([])
#a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[47]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'Irena_RL_Today'
name2 = 'Irena_RL_Bifacial'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend()
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[1] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_A.iloc[0]
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[1] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_B.iloc[0]
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[48]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1, a2) = plt.subplots(1, 3, gridspec_kw={'width_ratios': [2,0.8,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name0 = 'PV_ICE_Today'
name2 = 'PV_ICE_Bifacial'
#name3 = 'BifacialProjection'
# SCENARIO 1 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name0]+USyearly[keyw+materials[1]+'_'+name0]+
USyearly[keyw+materials[2]+'_'+name0]+USyearly[keyw+materials[3]+'_'+name0]+
USyearly[keyw+materials[4]+'_'+name0])
glassmat = (USyearly[keyw+materials[0]+'_'+name0])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'k', linestyle='dotted', linewidth=5, label='Today: module')
a0.plot(USyearly.index, glassmat, 'k', linewidth=5, label='Today: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='k', alpha=0.3,
interpolate=True)
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Bifacial Evolution: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Bifacial Evolution: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend(loc=2)
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name0].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_A.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_A.iloc[1]
dfcumulations2050_Prev_A = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
########################
# SUBPLOT 3
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
empty = 0
matcum.append(empty)
matcum.append(empty)
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
dfcumulations2050.iloc[2] = dfcumulations2050.iloc[0]
dfcumulations2050.iloc[0] = dfcumulations2050_Prev_B.iloc[0]
dfcumulations2050.iloc[1] = dfcumulations2050_Prev_B.iloc[1]
dfcumulations2050_Prev_B = dfcumulations2050.copy()
## Plot BARS Stuff
ind=np.arange(3)
width=0.35 # width of the bars.
p0 = a2.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a2.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a2.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a2.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a2.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a2.yaxis.set_label_position("right")
a2.yaxis.tick_right()
a2.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a2.set_xticks(ind, ('S1', 'S2'))
#plt.yticks(np.arange(0, 81, 10))
a2.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'),
bbox_to_anchor=(0.6, -0.25),
fancybox=True, shadow=True, ncol=5)
a2.set_ylim([0, 28])
plt.sca(a2)
plt.xticks(range(3), ['Irena\nEarly Loss', 'Irena\nRegular Loss', 'PV ICE\n'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
f.tight_layout()
fig.savefig(os.path.join(testfolder,'Fig_2x1_Yearly EoL Waste by SCenario and Cumulatives_NREL2018.png'), dpi=600)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# # BIFACIAL PROJECTION COMPARISON
# In[49]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='Waste_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [2,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name2 = 'Bifacial_SameInstalls'
name3 = 'Bifacial_ReducedInstalls'
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Same Installs: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Same Installs: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
# SCENARIO 3 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name3]+USyearly[keyw+materials[1]+'_'+name3]+
USyearly[keyw+materials[2]+'_'+name3]+USyearly[keyw+materials[3]+'_'+name3]+
USyearly[keyw+materials[4]+'_'+name3])
glassmat = (USyearly[keyw+materials[0]+'_'+name3])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'gold', linestyle='dotted', linewidth=5, label='Reduced Installs: module')
a0.plot(USyearly.index, glassmat, 'gold', linewidth=5, label='Reduced Installs: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend(loc=2)
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
matcum.append(UScum[keyw+materials[ii]+'_'+name3].loc[2050])
empty = 0
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
## Plot BARS Stuff
ind=np.arange(2)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
#a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material and MFG Scrap \n by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
#a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(2), ['Same\n Installs\n', 'Reduced\n Installs'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
change = dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[50]:
print("Reduced Installs reduces EOL Material & MFG Scrap landfilled by {} % ".format(round((change[0] - change[1])*100/change[0],2)))
# In[51]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='VirginStock_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [2,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name2 = 'Bifacial_SameInstalls'
name3 = 'Bifacial_ReducedInstalls'
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Same Installs: module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Same Installs: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
# SCENARIO 3 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name3]+USyearly[keyw+materials[1]+'_'+name3]+
USyearly[keyw+materials[2]+'_'+name3]+USyearly[keyw+materials[3]+'_'+name3]+
USyearly[keyw+materials[4]+'_'+name3])
glassmat = (USyearly[keyw+materials[0]+'_'+name3])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'gold', linestyle='dotted', linewidth=5, label='Reduced Installs: module')
a0.plot(USyearly.index, glassmat, 'gold', linewidth=5, label='Reduced Installs: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend(loc=2)
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
#a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
matcum.append(UScum[keyw+materials[ii]+'_'+name3].loc[2050])
empty = 0
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
## Plot BARS Stuff
ind=np.arange(2)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
#a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative Virgin Stock Needs [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
#a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(2), ['Same\n Installs\n', 'Reduced\n Installs'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
change1 = dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[52]:
print("Reduction in Manufacturing needs for Reduced Installs of {} %".format(round((change1[0]-change1[1])*100/change1[0],2)))
# In[53]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (15, 8)
keyw='VirginStock_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [2,0.8]})
########################
# SUBPLOT 1
########################
#######################
# Loop over CASES
name2 = 'Bifacial_SameInstalls'
name3 = 'Bifacial_ReducedInstalls'
# SCENARIO 2 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name2]+USyearly[keyw+materials[1]+'_'+name2]+
USyearly[keyw+materials[2]+'_'+name2]+USyearly[keyw+materials[3]+'_'+name2]+
USyearly[keyw+materials[4]+'_'+name2])
glassmat = (USyearly[keyw+materials[0]+'_'+name2])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'lightcoral', linestyle='dotted', linewidth=5, label='Irena Installs (no MFG losses): module')
a0.plot(USyearly.index, glassmat, 'lightcoral', linewidth=5, label='Irena Installs (no MFG losses):: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
# SCENARIO 3 ***************
modulemat = (USyearly[keyw+materials[0]+'_'+name3]+USyearly[keyw+materials[1]+'_'+name3]+
USyearly[keyw+materials[2]+'_'+name3]+USyearly[keyw+materials[3]+'_'+name3]+
USyearly[keyw+materials[4]+'_'+name3])
glassmat = (USyearly[keyw+materials[0]+'_'+name3])
modulemat = modulemat/1000000
glassmat = glassmat/1000000
a0.plot(USyearly.index, modulemat, 'gold', linestyle='dotted', linewidth=5, label='Reduced Installs: module')
a0.plot(USyearly.index, glassmat, 'gold', linewidth=5, label='Reduced Installs: glass')
a0.fill_between(USyearly.index, glassmat, modulemat, color='lightcoral', alpha=0.3,
interpolate=True)
a0.legend(loc=2)
#a0.set_title('Yearly End of Life Material by Scenario')
a0.set_ylabel('Mass [Million Tonnes]')
a0.set_xlim([2020, 2050])
a0.set_xlabel('Years')
#a0.set_ylim([0, 1.8])
########################
# SUBPLOT 2
########################
#######################
# Calculate
cumulations2050 = {}
for ii in range(0, len(materials)):
matcum = []
matcum.append(UScum[keyw+materials[ii]+'_'+name2].loc[2050])
matcum.append(UScum[keyw+materials[ii]+'_'+name3].loc[2050])
empty = 0
cumulations2050[materials[ii]] = matcum
dfcumulations2050 = pd.DataFrame.from_dict(cumulations2050)
dfcumulations2050 = dfcumulations2050/1000000 # in Million Tonnes
dfcumulations2050['bottom1'] = dfcumulations2050['glass']
dfcumulations2050['bottom2'] = dfcumulations2050['bottom1']+dfcumulations2050['aluminium_frames']
dfcumulations2050['bottom3'] = dfcumulations2050['bottom2']+dfcumulations2050['silicon']
dfcumulations2050['bottom4'] = dfcumulations2050['bottom3']+dfcumulations2050['copper']
## Plot BARS Stuff
ind=np.arange(2)
width=0.35 # width of the bars.
p0 = a1.bar(ind, dfcumulations2050['glass'], width, color='c')
p1 = a1.bar(ind, dfcumulations2050['aluminium_frames'], width,
bottom=dfcumulations2050['bottom1'])
p2 = a1.bar(ind, dfcumulations2050['silicon'], width,
bottom=dfcumulations2050['bottom2'])
p3 = a1.bar(ind, dfcumulations2050['copper'], width,
bottom=dfcumulations2050['bottom3'])
p4 = a1.bar(ind, dfcumulations2050['silver'], width,
bottom=dfcumulations2050['bottom4'])
a1.yaxis.set_label_position("right")
a1.yaxis.tick_right()
#a1.yaxis.set_ticklabels([])
a1.set_ylabel('Cumulative End of Life Material by 2050 [Million Tonnes]')
#a1.set_xlabel('Scenario')
a1.set_xticks(ind, ('S1', 'S2'))
#a1.yaxis.set_ticklabels([])
#plt.yticks(np.arange(0, 81, 10))
#a1.legend((p0[0], p1[0], p2[0], p3[0], p4[0] ), ('Glass', 'aluminium_frames', 'Silicon','Copper','Silver'))
#a1.set_ylim([0, 28])
plt.sca(a1)
plt.xticks(range(2), ['\n Irena Installs \n(no MFG losses)) \n', 'Reduced\n Installs'], color='black', rotation=45)
plt.tick_params(axis='y', which='minor', bottom=False)
print("Cumulative Waste by EoL 2050 Million Tones by Scenario")
change2 = dfcumulations2050[['glass','silicon','silver','copper','aluminium_frames']].sum(axis=1)
# In[54]:
print("Manufacturing Loss represents {} % of Virgin Stock Needs ".format(round((change1[0]-change2[0])*100/change1[0],2)))
# # Installed Capacity
# In[55]:
filter_col_Capacity = [col for col in UScum if col.startswith('Capacity')]
filter_col_Capacity
# In[56]:
UScum[filter_col_Capacity].loc[2050]/1e12
# In[57]:
# Sanity Check
plt.plot(UScum['Capacity_Irena_EL_Today']/1e12, 'r', linewidth=4.0, label='Irena Early Loss')
plt.plot(UScum['Capacity_Irena_EL_Bifacial']/1e12, 'b.', linewidth=4.0, label='Irena Regular Loss')
print("No difference in Capacity between Today and Bifacial for Irena", sum(UScum['Capacity_Irena_EL_Today']/1e12-UScum['Capacity_Irena_EL_Bifacial']/1e12))
# In[58]:
filter_col_newInstalls = [col for col in UScum if col.startswith('new_Installed_Capacity_[MW]')]
UScum[filter_col_newInstalls].loc[2050]/1e6
# In[59]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (7.5, 8)
keyw='Waste_'
materials = ['glass', 'silicon', 'silver', 'copper', 'aluminium_frames']
f, (a0) = plt.subplots(1, 1, gridspec_kw={'width_ratios': [2]})
plt.plot(UScum['new_Installed_Capacity_[MW]_Irena_EL']/1e6, 'k', label='Cumulative New Installs')
plt.plot(UScum['Capacity_Irena_EL_Bifacial']/1e12, 'r', linewidth=4.0, label='Irena EL Reliability')
plt.plot(UScum['Capacity_Irena_RL_Bifacial']/1e12, 'g', linewidth=4.0, label='Irena RL Reliability')#
plt.plot(UScum['Capacity_Bifacial_ReducedInstalls']/1e12, 'gold', linestyle='dashed', linewidth=4.0, label='PV ICE Reduced Installs')
plt.plot(UScum['Capacity_Bifacial_SameInstalls']/1e12, 'lightcoral', linewidth=4.0, label='PV ICE Reliability')
plt.legend()
#plt.yscale('log')
plt.xlim([2020, 2050])
#plt.ylim([5e10, 1e12])
plt.ylabel('Installed Capacity [TW]')
# In[60]:
print("Nameplate Capcaity of Bifacial Installations augment by", (UScum['Capacity_Bifacial_SameInstalls'][2050]-UScum['Capacity_Bifacial_ReducedInstalls'][2050])*100/UScum['Capacity_Bifacial_SameInstalls'][2050])
# In[61]:
print("% loss with Irena EL ")
((UScum['new_Installed_Capacity_[MW]_Irena_EL'].loc[2050]/1e6)-(UScum['Capacity_Irena_EL_Bifacial'].loc[2050]/1e12))*100/(UScum['new_Installed_Capacity_[MW]_Irena_EL'].loc[2050]/1e6)
# In[62]:
print("% loss with Irena RL ")
((UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)-(UScum['Capacity_Irena_RL_Bifacial'].loc[2050]/1e12))*100/(UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)
# In[63]:
print("% loss with PV ICE, Reducing Bifacial Installs ")
((UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)-(UScum['Capacity_Bifacial_ReducedInstalls'].loc[2050]/1e12))*100/(UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)
# In[64]:
print("% loss with PV ICE, Keeping Bifacial Installs ")
((UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)-(UScum['Capacity_Bifacial_SameInstalls'].loc[2050]/1e12))*100/(UScum['new_Installed_Capacity_[MW]_Irena_RL'].loc[2050]/1e6)
# # WEIBULL PLOTS
# In[65]:
from matplotlib.pyplot import gca,show
# In[66]:
firstgen = r1.scenario['Today'].data.WeibullParams.iloc[0]
ares = PV_ICE.weibull_cdf_vis(firstgen['alpha'],firstgen['beta'])
twentythirtygen = firstgen = r1.scenario['Today'].data.WeibullParams.iloc[-1]
bres = PV_ICE.weibull_cdf_vis(twentythirtygen['alpha'],twentythirtygen['beta'])
#userWeibulls = {'alpha': 3.4,
# 'beta': 4.5}
#userres = PV_ICE.weibull_cdf_vis(userWeibulls['alpha'],userWeibulls['beta'])
# Irena 'EL' 2016
alpha = 2.4928
Lifetime = 30
IrenaEarly = PV_ICE.weibull_cdf_vis(alpha, beta=Lifetime)
# Irena 'RL' 2016
alpha = 5.3759
Lifetime = 30
IrenaReg = PV_ICE.weibull_cdf_vis(alpha, beta=Lifetime)
# In[67]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (10, 8)
#plt.plot(ares, label=r'$ \alpha $ : '+str(round(firstgen['alpha'],2))+ r' $ \beta $ : '+ str(round(firstgen['beta'],2)) + ' PV ICE, gen 1995')
#plt.plot(bres, color='b', label=r'$ \alpha $ : '+str(round(twentythirtygen['alpha'],2))+ r' $ \beta $ : '+ str(round(twentythirtygen['beta'],2)) + ' PV ICE, gen 2050')
plt.plot(IrenaEarly, color='red', linewidth=16.0, label=r'$ \alpha $ : 2.49, Early Loss Baseline Irena 2016')
#plt.plot(IrenaReg, color='orange', linewidth=4.0, label=r'$ \alpha $ : 5.3759, Regular Loss Baseline Irena 2016')
#plt.legend()
plt.ylabel('Cumulative Distribution Function (CDF)')
plt.xlabel('Years since install')
plt.xlim([0,50])
ax = plt.gca()
ax.axes.xaxis.set_visible(False)
ax.axes.yaxis.set_visible(False)
#plt.legend(bbox_to_anchor=(1.05, 1.0), loc='bottom');
# In[68]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (10, 8)
#plt.plot(ares, label=r'$ \alpha $ : '+str(round(firstgen['alpha'],2))+ r' $ \beta $ : '+ str(round(firstgen['beta'],2)) + ' PV ICE, gen 1995')
#plt.plot(bres, color='b', label=r'$ \alpha $ : '+str(round(twentythirtygen['alpha'],2))+ r' $ \beta $ : '+ str(round(twentythirtygen['beta'],2)) + ' PV ICE, gen 2050')
#plt.plot(IrenaEarly, color='red', linewidth=4.0, label=r'$ \alpha $ : 2.49, Early Loss Baseline Irena 2016')
plt.plot(IrenaReg, color='darkgreen', linewidth=16.0, label=r'$ \alpha $ : 5.3759, Regular Loss Baseline Irena 2016')
#plt.legend()
plt.ylabel('Cumulative Distribution Function (CDF)')
plt.xlabel('Years since install')
plt.xlim([0,50])
ax = plt.gca()
ax.axes.xaxis.set_visible(False)
ax.axes.yaxis.set_visible(False)
#plt.legend(bbox_to_anchor=(1.05, 1.0), loc='bottom');
# In[69]:
plt.rcParams.update({'font.size': 15})
plt.rcParams['figure.figsize'] = (10, 8)
plt.plot(ares, linewidth=16.0, label=r'$ \alpha $ : '+str(round(firstgen['alpha'],2))+ r' $ \beta $ : '+ str(round(firstgen['beta'],2)) + ' PV ICE, gen 1995')
plt.plot(bres, linewidth=16.0, color='b', label=r'$ \alpha $ : '+str(round(twentythirtygen['alpha'],2))+ r' $ \beta $ : '+ str(round(twentythirtygen['beta'],2)) + ' PV ICE, gen 2050')
#plt.plot(IrenaEarly, color='red', linewidth=4.0, label=r'$ \alpha $ : 2.49, Early Loss Baseline Irena 2016')
#plt.plot(IrenaReg, color='orange', linewidth=4.0, label=r'$ \alpha $ : 5.3759, Regular Loss Baseline Irena 2016')
#plt.legend()
plt.ylabel('Cumulative Distribution Function (CDF)')
plt.xlabel('Years since install')
plt.xlim([0,50])
ax = plt.gca()
ax.axes.xaxis.set_visible(False)
ax.axes.yaxis.set_visible(False)
opt = dict(color='r',width=12, headwidth=60, headlength=60)
gca().annotate('',xy=(38,0.5), xycoords='data',xytext =(18,0.5),textcoords = 'data',arrowprops=opt)
#plt.legend(bbox_to_anchor=(1.05, 1.0), loc='bottom');
# # SAVE RESULTS OPENEI
# In[70]:
keyw=['mat_Virgin_Stock','mat_Total_EOL_Landfilled','mat_Total_MFG_Landfilled', 'mat_Total_Landfilled',
'new_Installed_Capacity_[MW]','Installed_Capacity_[W]']
keywprint = ['VirginMaterialDemand','EOLMaterial', 'ManufacturingScrap','ManufacturingScrapAndEOLMaterial',
'NewInstalledCapacity','InstalledCapacity']
keywunits = ['MetricTonnes', 'MetricTonnes', 'MetricTonnes', 'MetricTonnes',
'MW','MW']
keywdcumneed = [True,True,True,True,
True,False]
keywdlevel = ['material','material','material','material',
'module','module']
keywscale = [1000000, 1000000, 1000000, 1000000,
1,1e6]
#materials = ['glass', 'silicon', 'silver', 'copper', 'aluminum']
materials = ['glass','aluminium_frames','silver','silicon', 'copper']
# Loop over SF Scenarios
scenariolist = pd.DataFrame()
# Loop over Simularionts r1 r2, r3...
for kk in range(3, len(Simulations)):
obj = Simulations[kk]
# Loop over Scenarios
for zz in range(0, len(obj.scenario)):
case = list(obj.scenario.keys())[zz]
foo = pd.DataFrame()
for jj in range (0, len(keyw)):
if keywdlevel[jj] == 'material':
for ii in range (0, len(materials)):
sentit = '@value|'+keywprint[jj]+'|'+materials[ii].capitalize() +'#'+keywunits[jj]
foo[sentit] = obj.scenario[case].material[materials[ii]].materialdata[keyw[jj]]/keywscale[jj]
else:
sentit = '@value|'+keywprint[jj]+'|'+'PV' +'#'+keywunits[jj]
#sentit = '@value|'+keywprint[jj]+'#'+keywunits[jj]
foo[sentit] = obj.scenario[case].data[keyw[jj]]/keywscale[jj]
foo['@case'] = case
foo['@scenario|Module Composition'] = obj.name
foo['@timeseries|Year'] = obj.scenario[case].data.year
scenariolist = scenariolist.append(foo)
cols = [scenariolist.columns[-1]] + [col for col in scenariolist if col != scenariolist.columns[-1]]
scenariolist = scenariolist[cols]
cols = [scenariolist.columns[-1]] + [col for col in scenariolist if col != scenariolist.columns[-1]]
scenariolist = scenariolist[cols]
cols = [scenariolist.columns[-1]] + [col for col in scenariolist if col != scenariolist.columns[-1]]
scenariolist = scenariolist[cols]
#scenariolist = scenariolist/1000000 # Converting to Metric Tons
#scenariolist = scenariolist.applymap(lambda x: round(x, N - int(np.floor(np.log10(abs(x))))))
#scenariolist = scenariolist.applymap(lambda x: int(x))
scenariolist.to_csv('OPENEI 4 - Nation by Year.csv', index=False)
print("Done")
| 35.904692
| 212
| 0.688243
| 12,106
| 97,948
| 5.458863
| 0.043367
| 0.038556
| 0.054657
| 0.022698
| 0.900931
| 0.882409
| 0.872392
| 0.855867
| 0.831702
| 0.823182
| 0
| 0.076033
| 0.119543
| 97,948
| 2,727
| 213
| 35.917858
| 0.690268
| 0.101707
| 0
| 0.805593
| 0
| 0
| 0.206506
| 0.035029
| 0.000666
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.00466
| 0
| 0.00466
| 0.025965
| 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
|
2164de72a2123556d28feaef0de5aa6f8ddc929f
| 77
|
py
|
Python
|
comch/surjection/__init__.py
|
smimic/comch
|
cbc3249a2599787f2cb514ac61677778a9046063
|
[
"MIT"
] | 4
|
2020-12-31T21:58:58.000Z
|
2021-02-27T03:46:46.000Z
|
comch/surjection/__init__.py
|
smimic/comch
|
cbc3249a2599787f2cb514ac61677778a9046063
|
[
"MIT"
] | null | null | null |
comch/surjection/__init__.py
|
smimic/comch
|
cbc3249a2599787f2cb514ac61677778a9046063
|
[
"MIT"
] | 2
|
2020-12-31T21:59:09.000Z
|
2021-01-07T22:22:58.000Z
|
from .surjection import Surjection
from .surjection import SurjectionElement
| 25.666667
| 41
| 0.87013
| 8
| 77
| 8.375
| 0.5
| 0.41791
| 0.597015
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 77
| 2
| 42
| 38.5
| 0.971014
| 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
|
dcd18ff887f591d8b2f38b0313b54ca831539445
| 3,790
|
py
|
Python
|
benchmarks/test_inserts.py
|
anthonykgross/mongoengine
|
11848b578546348c3f9c72a824658f3fc4fa1269
|
[
"MIT"
] | 3,314
|
2015-01-01T15:47:39.000Z
|
2022-03-31T11:39:12.000Z
|
benchmarks/test_inserts.py
|
anthonykgross/mongoengine
|
11848b578546348c3f9c72a824658f3fc4fa1269
|
[
"MIT"
] | 1,703
|
2015-01-01T21:56:49.000Z
|
2022-03-31T23:08:18.000Z
|
benchmarks/test_inserts.py
|
anthonykgross/mongoengine
|
11848b578546348c3f9c72a824658f3fc4fa1269
|
[
"MIT"
] | 995
|
2015-01-05T06:24:32.000Z
|
2022-03-28T16:34:58.000Z
|
import timeit
def main():
setup = """
from pymongo import MongoClient
connection = MongoClient()
connection.drop_database('mongoengine_benchmark_test')
"""
stmt = """
from pymongo import MongoClient
connection = MongoClient()
db = connection.mongoengine_benchmark_test
noddy = db.noddy
for i in range(10000):
example = {'fields': {}}
for j in range(20):
example['fields']["key"+str(j)] = "value "+str(j)
noddy.insert_one(example)
myNoddys = noddy.find()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print("PyMongo: Creating 10000 dictionaries.")
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
stmt = """
from pymongo import MongoClient, WriteConcern
connection = MongoClient()
db = connection.mongoengine_benchmark_test
noddy = db.noddy.with_options(write_concern=WriteConcern(w=0))
for i in range(10000):
example = {'fields': {}}
for j in range(20):
example['fields']["key"+str(j)] = "value "+str(j)
noddy.insert_one(example)
myNoddys = noddy.find()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print('PyMongo: Creating 10000 dictionaries (write_concern={"w": 0}).')
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
setup = """
from pymongo import MongoClient
connection = MongoClient()
connection.drop_database('mongoengine_benchmark_test')
connection.close()
from mongoengine import Document, DictField, connect
connect("mongoengine_benchmark_test")
class Noddy(Document):
fields = DictField()
"""
stmt = """
for i in range(10000):
noddy = Noddy()
for j in range(20):
noddy.fields["key"+str(j)] = "value "+str(j)
noddy.save()
myNoddys = Noddy.objects()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print("MongoEngine: Creating 10000 dictionaries.")
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
stmt = """
for i in range(10000):
noddy = Noddy()
fields = {}
for j in range(20):
fields["key"+str(j)] = "value "+str(j)
noddy.fields = fields
noddy.save()
myNoddys = Noddy.objects()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print("MongoEngine: Creating 10000 dictionaries (using a single field assignment).")
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
stmt = """
for i in range(10000):
noddy = Noddy()
for j in range(20):
noddy.fields["key"+str(j)] = "value "+str(j)
noddy.save(write_concern={"w": 0})
myNoddys = Noddy.objects()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print('MongoEngine: Creating 10000 dictionaries (write_concern={"w": 0}).')
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
stmt = """
for i in range(10000):
noddy = Noddy()
for j in range(20):
noddy.fields["key"+str(j)] = "value "+str(j)
noddy.save(write_concern={"w": 0}, validate=False)
myNoddys = Noddy.objects()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print(
'MongoEngine: Creating 10000 dictionaries (write_concern={"w": 0}, validate=False).'
)
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
stmt = """
for i in range(10000):
noddy = Noddy()
for j in range(20):
noddy.fields["key"+str(j)] = "value "+str(j)
noddy.save(force_insert=True, write_concern={"w": 0}, validate=False)
myNoddys = Noddy.objects()
[n for n in myNoddys] # iterate
"""
print("-" * 100)
print(
'MongoEngine: Creating 10000 dictionaries (force_insert=True, write_concern={"w": 0}, validate=False).'
)
t = timeit.Timer(stmt=stmt, setup=setup)
print(f"{t.timeit(1)}s")
if __name__ == "__main__":
main()
| 23.395062
| 111
| 0.62876
| 505
| 3,790
| 4.653465
| 0.136634
| 0.041702
| 0.017872
| 0.032766
| 0.895745
| 0.882128
| 0.862128
| 0.862128
| 0.850638
| 0.837872
| 0
| 0.039735
| 0.203166
| 3,790
| 161
| 112
| 23.540373
| 0.738411
| 0
| 0
| 0.782258
| 0
| 0
| 0.755937
| 0.152507
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008065
| false
| 0
| 0.048387
| 0
| 0.056452
| 0.169355
| 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
|
dcdd42d5d439593901ffbcc4bddf725fe53b7e51
| 242
|
py
|
Python
|
__init__.py
|
Lornatang/tf-gans
|
8be24886ce42ba98dfd9429fd3c594a756bf46bf
|
[
"MIT"
] | 5
|
2020-02-13T23:19:26.000Z
|
2021-07-12T14:39:32.000Z
|
__init__.py
|
Lornatang/tf-dcgan
|
eedeb8d3ca8d038a89324773e2ab9f57f3977d59
|
[
"MIT"
] | 1
|
2021-03-29T03:42:19.000Z
|
2021-03-29T03:42:19.000Z
|
__init__.py
|
Lornatang/tf-dcgan
|
eedeb8d3ca8d038a89324773e2ab9f57f3977d59
|
[
"MIT"
] | 3
|
2019-08-18T07:23:16.000Z
|
2020-02-10T16:00:24.000Z
|
from dataset.load_dataset import *
from network.generator import *
from network.discriminator import *
from util.loss_and_optim import *
from util.generate_and_save_images import *
from util.save_checkpoints import *
from eval import cal_loss
| 34.571429
| 43
| 0.838843
| 36
| 242
| 5.416667
| 0.472222
| 0.307692
| 0.215385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11157
| 242
| 7
| 44
| 34.571429
| 0.906977
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
dcdf8e64fdcc62ac7d92e87bd2cd058d93ffc915
| 2,752
|
py
|
Python
|
alembic/versions/365caa1cbd80_update_mod_action_indices.py
|
reviforks/CivilServant
|
03babdcf97eb6974eb739b1b0f1dfd8e3d3c9f48
|
[
"MIT"
] | 17
|
2017-03-13T15:14:57.000Z
|
2020-01-07T19:12:49.000Z
|
alembic/versions/365caa1cbd80_update_mod_action_indices.py
|
citizensandtech/CivilServant
|
03babdcf97eb6974eb739b1b0f1dfd8e3d3c9f48
|
[
"MIT"
] | 32
|
2016-06-08T03:35:43.000Z
|
2016-11-30T18:50:49.000Z
|
alembic/versions/365caa1cbd80_update_mod_action_indices.py
|
citizensandtech/CivilServant
|
03babdcf97eb6974eb739b1b0f1dfd8e3d3c9f48
|
[
"MIT"
] | 4
|
2018-07-11T23:36:28.000Z
|
2019-11-16T19:32:33.000Z
|
"""update mod action indices
Revision ID: 365caa1cbd80
Revises: 3cb15662f688
Create Date: 2020-02-28 21:56:48.045412
"""
# revision identifiers, used by Alembic.
revision = '365caa1cbd80'
down_revision = '3cb15662f688'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade(engine_name):
globals()["upgrade_%s" % engine_name]()
def downgrade(engine_name):
globals()["downgrade_%s" % engine_name]()
def upgrade_development():
# ### commands auto generated by Alembic - please adjust! ###
op.create_index(op.f('ix_mod_actions_action'), 'mod_actions', ['action'], unique=False)
op.create_index(op.f('ix_mod_actions_created_utc'), 'mod_actions', ['created_utc'], unique=False)
op.create_index(op.f('ix_mod_actions_mod'), 'mod_actions', ['mod'], unique=False)
# ### end Alembic commands ###
def downgrade_development():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_mod'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_created_utc'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_action'), table_name='mod_actions')
# ### end Alembic commands ###
def upgrade_test():
# ### commands auto generated by Alembic - please adjust! ###
op.create_index(op.f('ix_mod_actions_action'), 'mod_actions', ['action'], unique=False)
op.create_index(op.f('ix_mod_actions_created_utc'), 'mod_actions', ['created_utc'], unique=False)
op.create_index(op.f('ix_mod_actions_mod'), 'mod_actions', ['mod'], unique=False)
# ### end Alembic commands ###
def downgrade_test():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_mod'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_created_utc'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_action'), table_name='mod_actions')
# ### end Alembic commands ###
def upgrade_production():
# ### commands auto generated by Alembic - please adjust! ###
op.create_index(op.f('ix_mod_actions_action'), 'mod_actions', ['action'], unique=False)
op.create_index(op.f('ix_mod_actions_created_utc'), 'mod_actions', ['created_utc'], unique=False)
op.create_index(op.f('ix_mod_actions_mod'), 'mod_actions', ['mod'], unique=False)
# ### end Alembic commands ###
def downgrade_production():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_mod_actions_mod'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_created_utc'), table_name='mod_actions')
op.drop_index(op.f('ix_mod_actions_action'), table_name='mod_actions')
# ### end Alembic commands ###
| 35.74026
| 101
| 0.707485
| 390
| 2,752
| 4.676923
| 0.153846
| 0.197368
| 0.078947
| 0.098684
| 0.813048
| 0.813048
| 0.813048
| 0.813048
| 0.813048
| 0.785636
| 0
| 0.020991
| 0.134448
| 2,752
| 76
| 102
| 36.210526
| 0.744752
| 0.223474
| 0
| 0.529412
| 0
| 0
| 0.339697
| 0.138032
| 0
| 0
| 0
| 0
| 0
| 1
| 0.235294
| false
| 0
| 0.058824
| 0
| 0.294118
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0d4eb8fc2fbecc2446e98df0a867926b497c6cd5
| 159
|
py
|
Python
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/margay/calculators/calc_fpll.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 69
|
2021-12-16T01:34:09.000Z
|
2022-03-31T08:27:39.000Z
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/margay/calculators/calc_fpll.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 6
|
2022-01-12T18:22:08.000Z
|
2022-03-25T10:19:27.000Z
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/margay/calculators/calc_fpll.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 21
|
2021-12-20T09:05:45.000Z
|
2022-03-28T02:52:28.000Z
|
from pyradioconfig.parts.ocelot.calculators.calc_fpll import calc_fpll_ocelot
class calc_fpll_margay(calc_fpll_ocelot):
#Inherit all from Ocelot
pass
| 26.5
| 77
| 0.823899
| 23
| 159
| 5.391304
| 0.565217
| 0.258065
| 0.225806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125786
| 159
| 6
| 78
| 26.5
| 0.892086
| 0.144654
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 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
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
b49a4619d2f11352b16c39e8d3e247554a1b8ab3
| 2,355
|
py
|
Python
|
hfspace/anime.py
|
lambdamai/lambda-bot
|
bbd2a91757007c3c59caa85de9cdec7e304994a0
|
[
"Apache-2.0"
] | null | null | null |
hfspace/anime.py
|
lambdamai/lambda-bot
|
bbd2a91757007c3c59caa85de9cdec7e304994a0
|
[
"Apache-2.0"
] | null | null | null |
hfspace/anime.py
|
lambdamai/lambda-bot
|
bbd2a91757007c3c59caa85de9cdec7e304994a0
|
[
"Apache-2.0"
] | null | null | null |
import base64
import requests
def to_anime(image_path: str, output_path: str):
encoded_string = base64.b64encode(open(image_path, "rb").read()).decode('ascii')
r = requests.post(url='https://hf.space/gradioiframe/akhaliq/AnimeGANv2/api/predict',
json={"data": [
f"data:image/png;base64,{str(encoded_string)}",
"version 1 (\ud83d\udd3a stylization, \ud83d\udd3b robustness)"
]})
base64_predict_image = r.json()['data'][0]
base64_predict_image = base64_predict_image.partition(",")[2]
base64_message = base64_predict_image.encode('utf-8')
message_bytes = base64.decodebytes(base64_message)
image_result = open(output_path, 'wb') # create a writable image and write the decoding result
image_result.write(message_bytes)
def to_dragness(image_path: str, output_path: str):
encoded_string = base64.b64encode(open(image_path, "rb").read()).decode('ascii')
r = requests.post(url='https://hf.space/gradioiframe/Norod78/Dragness/api/predict',
json={"data": [
f"data:image/png;base64,{str(encoded_string)}"
]})
base64_predict_image = r.json()['data'][0]
base64_predict_image = base64_predict_image.partition(",")[2]
base64_message = base64_predict_image.encode('utf-8')
message_bytes = base64.decodebytes(base64_message)
image_result = open(output_path, 'wb') # create a writable image and write the decoding result
image_result.write(message_bytes)
def to_jojo(image_path: str, output_path: str, ref_model="JoJo"):
encoded_string = base64.b64encode(open(image_path, "rb").read()).decode('ascii')
r = requests.post(url='https://hf.space/gradioiframe/akhaliq/JoJoGAN/api/predict',
json={"data": [
f"data:image/png;base64,{str(encoded_string)}",
ref_model
]})
base64_predict_image = r.json()['data'][0]
base64_predict_image = base64_predict_image.partition(",")[2]
base64_message = base64_predict_image.encode('utf-8')
message_bytes = base64.decodebytes(base64_message)
image_result = open(output_path, 'wb') # create a writable image and write the decoding result
image_result.write(message_bytes)
| 49.0625
| 99
| 0.652654
| 290
| 2,355
| 5.075862
| 0.22069
| 0.105978
| 0.146739
| 0.036685
| 0.898777
| 0.898777
| 0.881793
| 0.881793
| 0.881793
| 0.881793
| 0
| 0.043879
| 0.216136
| 2,355
| 47
| 100
| 50.106383
| 0.753521
| 0.068365
| 0
| 0.725
| 0
| 0
| 0.2
| 0.058904
| 0
| 0
| 0
| 0
| 0
| 1
| 0.075
| false
| 0
| 0.05
| 0
| 0.125
| 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
|
b4e4707526f9fae59ca1f5c111b05bca34bb1e95
| 73
|
py
|
Python
|
packages/watchmen-meta/src/watchmen_meta/auth/__init__.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
packages/watchmen-meta/src/watchmen_meta/auth/__init__.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
packages/watchmen-meta/src/watchmen_meta/auth/__init__.py
|
Indexical-Metrics-Measure-Advisory/watchmen
|
c54ec54d9f91034a38e51fd339ba66453d2c7a6d
|
[
"MIT"
] | null | null | null |
from .auth_helper import build_find_user_by_name, build_find_user_by_pat
| 36.5
| 72
| 0.90411
| 14
| 73
| 4.071429
| 0.714286
| 0.315789
| 0.45614
| 0.526316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068493
| 73
| 1
| 73
| 73
| 0.838235
| 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
|
259ce57ab1dbc7245fbe3ab7c6b188d67bd828f8
| 5,905
|
py
|
Python
|
pyfbook/connector.py
|
Leouldan/pyfbook
|
642c514d560f32a48585fc5e3f2c852c25bc76b2
|
[
"BSD-2-Clause"
] | null | null | null |
pyfbook/connector.py
|
Leouldan/pyfbook
|
642c514d560f32a48585fc5e3f2c852c25bc76b2
|
[
"BSD-2-Clause"
] | null | null | null |
pyfbook/connector.py
|
Leouldan/pyfbook
|
642c514d560f32a48585fc5e3f2c852c25bc76b2
|
[
"BSD-2-Clause"
] | null | null | null |
import pyfbook.facebook
from pyfbook.facebook.config import get_config
from pyfbook.facebook.date import segment_month_date
def get_marketing(project,
start,
end,
all_account_id,
spreadsheet_id=None,
redshift_instance=None,
test=False,
azure_instance=None,
prefix_table=None):
metric_dimension = pyfbook.facebook.path.get_marketing_metric_dimension(project, test)
for report_name in metric_dimension.keys():
report = {
"name": report_name,
"config": metric_dimension[report_name]
}
print("Loading report %s" % report_name)
all_time_increment = report["config"]["time_increment"]
all_result = []
for time_increment in all_time_increment:
print("Time increment " + str(time_increment))
result = pyfbook.facebook.marketing.main.main(project, start, end, report, time_increment, all_account_id,
redshift_instance, spreadsheet_id, azure_instance,
prefix_table)
all_result.append(result)
print("Finish loading report %s" % report_name)
if spreadsheet_id is None and redshift_instance is None and azure_instance is None:
print(all_result)
def get_account_info(
project,
user_id="me",
spreadsheet_id=None,
redshift_instance=None,
test=False,
azure_instance=None,
prefix_table=None):
metric_dimension = pyfbook.facebook.path.get_graph_metric_dimension(project, test)
for report_name in metric_dimension.keys():
report = {
"name": report_name,
"config": metric_dimension[report_name]
}
print("Loading report %s" % report_name)
result = pyfbook.facebook.graph.main.main(project, report, user_id,
redshift_instance, spreadsheet_id, azure_instance, prefix_table)
print("Finish loading report %s" % report_name)
if spreadsheet_id is None and redshift_instance is None and azure_instance is None:
print(result)
def get_page(
project,
start,
end,
all_page_id,
spreadsheet_id=None,
redshift_instance=None,
test=False,
azure_instance=None,
prefix_table=None):
metric_dimension = pyfbook.facebook.path.get_page_metric_dimension(project, test)
for report_name in metric_dimension.keys():
report = {
"name": report_name,
"config": metric_dimension[report_name]
}
print("Loading report %s" % report_name)
all_period = report["config"]["period"]
all_result = []
for period in all_period:
print("Period " + str(period))
all_date = segment_month_date(start, end)
for date in all_date:
result = pyfbook.facebook.page.main.main(project, date[0], date[1], report, period, all_page_id,
redshift_instance, spreadsheet_id, azure_instance,
prefix_table)
all_result.append(result)
print("Finish loading report %s" % report_name)
if spreadsheet_id is None and redshift_instance is None and azure_instance is None:
print(all_result)
return all_result
def get_post(
project,
all_post_id,
spreadsheet_id=None,
redshift_instance=None,
test=False,
azure_instance=None,
prefix_table=None):
metric_dimension = pyfbook.facebook.path.get_post_metric_dimension(project, test)
for report_name in metric_dimension.keys():
report = {
"name": report_name,
"config": metric_dimension[report_name]
}
print("Loading report %s" % report_name)
all_period = report["config"]["period"]
all_result = []
for period in all_period:
print("Period " + str(period))
result = pyfbook.facebook.post.main.main(project, report, period, all_post_id,
redshift_instance, spreadsheet_id, azure_instance,
prefix_table)
all_result.append(result)
print("Finish loading report %s" % report_name)
if spreadsheet_id is None and redshift_instance is None and azure_instance is None:
print(all_result)
return all_result
def get_page_post(
project,
start,
end,
page_id,
spreadsheet_id=None,
redshift_instance=None,
test=False,
azure_instance=None,
prefix_table=None):
metric_dimension = pyfbook.facebook.path.get_page_post_metric_dimension(project, test)
for report_name in metric_dimension.keys():
report = {
"name": report_name,
"config": metric_dimension[report_name]
}
print("Loading report %s" % report_name)
all_result = []
all_date = segment_month_date(start, end)
for date in all_date:
result = pyfbook.facebook.page_post.main.main(project, date[0], date[1], report, page_id,
redshift_instance, spreadsheet_id, azure_instance,
prefix_table)
all_result.append(result)
print("Finish loading report %s" % report_name)
if spreadsheet_id is None and redshift_instance is None and azure_instance is None:
print(all_result)
return all_result
| 38.848684
| 118
| 0.582049
| 633
| 5,905
| 5.156398
| 0.090047
| 0.091912
| 0.042892
| 0.061275
| 0.818321
| 0.818321
| 0.818321
| 0.818321
| 0.799326
| 0.782475
| 0
| 0.001031
| 0.343268
| 5,905
| 151
| 119
| 39.10596
| 0.84064
| 0
| 0
| 0.757353
| 0
| 0
| 0.055885
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.036765
| false
| 0
| 0.022059
| 0
| 0.080882
| 0.132353
| 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
|
25b85e45161f9b7393c939aebb4d5e833c6f739e
| 173
|
py
|
Python
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_freq_offset_comp.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 82
|
2016-06-29T17:24:43.000Z
|
2021-04-16T06:49:17.000Z
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_freq_offset_comp.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 6
|
2022-01-12T18:22:08.000Z
|
2022-03-25T10:19:27.000Z
|
platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_freq_offset_comp.py
|
lmnotran/gecko_sdk
|
2e82050dc8823c9fe0e8908c1b2666fb83056230
|
[
"Zlib"
] | 56
|
2016-08-02T10:50:50.000Z
|
2021-07-19T08:57:34.000Z
|
from pyradioconfig.parts.lynx.calculators.calc_freq_offset_comp import CALC_Freq_Offset_Comp_lynx
class calc_freq_offset_comp_leopard(CALC_Freq_Offset_Comp_lynx):
pass
| 34.6
| 97
| 0.890173
| 27
| 173
| 5.148148
| 0.481481
| 0.230216
| 0.402878
| 0.517986
| 0.316547
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069364
| 173
| 5
| 98
| 34.6
| 0.863354
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 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
| 1
| 1
| 0
| 1
| 0
|
0
| 9
|
25d66e22b9e32df86b28c06106cb3b7deed13fe3
| 223,311
|
py
|
Python
|
rubikscubelookuptables/builder777.py
|
dwalton76/rubiks-cube-lookup-tables
|
fd6cba7af333cb3fd37e16c6633b483df07c3c74
|
[
"MIT"
] | 1
|
2018-07-11T01:51:10.000Z
|
2018-07-11T01:51:10.000Z
|
rubikscubelookuptables/builder777.py
|
dwalton76/rubiks-cube-lookup-tables
|
fd6cba7af333cb3fd37e16c6633b483df07c3c74
|
[
"MIT"
] | null | null | null |
rubikscubelookuptables/builder777.py
|
dwalton76/rubiks-cube-lookup-tables
|
fd6cba7af333cb3fd37e16c6633b483df07c3c74
|
[
"MIT"
] | 1
|
2021-12-17T14:16:33.000Z
|
2021-12-17T14:16:33.000Z
|
# standard libraries
import logging
# rubiks cube libraries
from rubikscubelookuptables.buildercore import BFS
log = logging.getLogger(__name__)
"""
phase 1
use 555 solver to stage the LR inner centers
phase 2
pair LR oblique edges
uses heuristic formula so no table to build
phase 3
use 5x5x5 solver to stage the LR inner centers
phase 4
use 5x5x5 solver to stage the UD inner centers
phase 5
pair the oblique UD edges
uses heuristic formula so no table to build
phase 6
use 5x5x5 to stage the UD centers
phase 7
LR centers to vertical bars
phase 8
UD centers to vertical bars
phase 9
centers daisy solve
"""
# ===============================
# phase 2 - pair LR oblique edges
# ===============================
class StartingStates777Phase2(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase2",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase2.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . x x x . .
. x . . . x .
. x . . . x .
. x . . . x .
. . x x x . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L L L . . . . x x x . . . . L L L . . . . x x x . .
. L . . . L . . x . . . x . . L . . . L . . x . . . x .
. L . . . L . . x . . . x . . L . . . L . . x . . . x .
. L . . . L . . x . . . x . . L . . . L . . x . . . x .
. . L L L . . . . x x x . . . . L L L . . . . x x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . x x x . .
. x . . . x .
. x . . . x .
. x . . . x .
. . x x x . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase2(BFS):
"""
There are 24!/(8!*8!) or 735741 starting states.
From those are (24!/(8!*8!))^3 or 398,267,506,305,474,021 states.
The result is the table explodes quickly! We only build this to give us a rough idea
of how many moves this phase should take so that we know if our current unpaired_count
IDA heuristic works well or not.
lookup-table-7x7x7-phase2.txt
=============================
1 steps has 7,606,735 entries (4 percent, 0.00x previous step)
2 steps has 151,277,968 entries (95 percent, 19.89x previous step)
# extrapolate from here
3 steps has 2,886,383,629 entries (19.08x previous step)
4 steps has 52,763,092,738 entries (18.28x previous step)
5 steps has 922,298,861,060 entries (17.48x previous step)
6 steps has 15,383,945,002,480 entries (16.68x previous step)
7 steps has 244,297,046,639,382 entries (15.88x previous step)
8 steps has 3,683,999,463,321,879 entries (15.08x previous step)
9 steps has 52,607,512,336,236,408 entries (14.28x previous step)
10 steps has 341,715,335,407,051,742 entries (6.50x previous step)
Average: 9.847401841508537
Total : 398,267,506,305,474,021
"""
def __init__(self):
# fmt: off
# Note that phase2_ss is no longer in the builder777ss file...it added 735741 lines to that file
# and I was never doing to use it again so I deleted it. You can rebuild it via
# ./utils/builderui.py StartingStates777Phase2
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase2_ss
BFS.__init__(
self,
"7x7x7-phase2",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
),
"7x7x7",
"lookup-table-7x7x7-phase2.txt",
False, # store_as_hex
phase2_ss,
use_c=True,
)
# fmt: on
# =======================================================
# phase 4 - stage UD inner centers, pair UD oblique edges
# =======================================================
class Build777Phase4TCenters(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step-phase4-t-centers",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-t-centers.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . U . . .
. . U . U . .
. . . U . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . U . . .
. . U . U . .
. . . U . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4XCenters(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step-phase4-x-centers",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-x-centers.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . U . U . .
. . . . . . .
. . U . U . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . U . U . .
. . . . . . .
. . U . U . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
# perfect hash
class Build777Phase4Centers(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-inner-centers",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-inner-centers.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . U U U . .
. . U . U . .
. . U U U . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . U U U . .
. . U . U . .
. . U U U . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
# dwalton
class Build777Phase4LeftOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-left-oblique",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-left-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U . . . .
. . . . . U .
. . . . . . .
. U . . . . .
. . . . U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . . . . . . . . . . . . . x . . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . . x . . . . . . . . . . . . . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U . . . .
. . . . . U .
. . . . . . .
. U . . . . .
. . . . U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4RightOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-right-oblique",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-right-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . U . .
. U . . . . .
. . . . . . .
. . . . . U .
. . U . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . x . . . . . . . . . . . . . x . .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . . x . . . . . . . . . . . . . x . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . U . .
. U . . . . .
. . . . . . .
. . . . . U .
. . U . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4MiddleOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-middle-oblique",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-middle-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . U . . .
. . . . . . .
. U . . . U .
. . . . . . .
. . . U . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . U . . .
. . . . . . .
. U . . . U .
. . . . . . .
. . . U . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class StartingStates777Phase4(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase4.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4(BFS):
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase4_ss
BFS.__init__(
self,
"7x7x7-phase4",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4.txt",
False, # store_as_hex
phase4_ss,
use_c=True,
)
# fmt: on
class StartingStates777Phase4LeftRightOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-left-right-oblique",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase4-left-right-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U . U . .
. U . . . U .
. . . . . . .
. U . . . U .
. . U . U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U . U . .
. U . . . U .
. . . . . . .
. U . . . U .
. . U . U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4LeftRightOblique(BFS):
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase4_left_right_oblique_ss
BFS.__init__(
self,
"7x7x7-phase4-left-right-oblique",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-left-right-oblique.txt",
False, # store_as_hex
phase4_left_right_oblique_ss,
use_c=True,
)
# fmt: on
class StartingStates777Phase4LeftMiddleOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase4-left-middle-oblique",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase4-left-middle-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U . . .
. . . . . U .
. U . . . U .
. U . . . . .
. . . U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x x . . . . . . . . . . . . x x . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . x x . . . . . . . . . . . . x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U . . .
. . . . . U .
. U . . . U .
. U . . . . .
. . . U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase4LeftMiddleOblique(BFS):
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase4_left_middle_oblique_ss
BFS.__init__(
self,
"7x7x7-phase4-left-middle-oblique",
(
# keep LR inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase4-left-middle-oblique.txt",
False, # store_as_hex
phase4_left_middle_oblique_ss,
use_c=True,
)
# fmt: on
# ===============================
# phase 5 - pair UD oblique edges
# ===============================
class Build777Phase5LeftOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5-left-oblique",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5-left-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U . . . .
. . . . . U .
. . . . . . .
. U . . . . .
. . . . U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . . . . . . . . . . . . . x . . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . . x . . . . . . . . . . . . . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U . . . .
. . . . . U .
. . . . . . .
. U . . . . .
. . . . U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase5RightOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5-right-oblique",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5-right-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . U . .
. U . . . . .
. . . . . . .
. . . . . U .
. . U . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . x . . . . . . . . . . . . . x . .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . . x . . . . . . . . . . . . . x . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . U . .
. U . . . . .
. . . . . . .
. . . . . U .
. . U . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase5MiddleOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5-middle-oblique",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5-middle-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . U . . .
. . . . . . .
. U . . . U .
. . . . . . .
. . . U . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . x . . . . . . . . . . . . . x . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . U . . .
. . . . . . .
. U . . . U .
. . . . . . .
. . . U . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class StartingStates777Phase5(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase5.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . x x x . . . . . . . . . . . x x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase5(BFS):
"""
lookup-table-7x7x7-phase5.txt
=============================
1 steps has 77,446 entries (0 percent, 0.00x previous step)
2 steps has 831,520 entries (8 percent, 10.74x previous step)
3 steps has 9,010,776 entries (90 percent, 10.84x previous step)
# extrapolate from here
4 steps has 90,468,191 entries (10.04x previous step)
5 steps has 835,926,084 entries (9.24x previous step)
6 steps has 7,055,216,148 entries (8.44x previous step)
7 steps has 53,901,851,370 entries (7.64x previous step)
8 steps has 368,688,663,370 entries (6.84x previous step)
9 steps has 1,701,164,858,095 entries (4.61x previous step)
Average: 8.76472660201022
Total : 2,131,746,903,000
"""
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase5_ss
BFS.__init__(
self,
"7x7x7-phase5",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5.txt",
False, # store_as_hex
phase5_ss,
use_c=True,
)
# fmt: on
class StartingStates777Phase5LeftRightOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5-left-right-oblique",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase5-left-right-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U . U . .
. U . . . U .
. . . . . . .
. U . . . U .
. . U . U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . . x . x . . . . . . . . . . . x . x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U . U . .
. U . . . U .
. . . . . . .
. U . . . U .
. . U . U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase5LeftRightOblique(BFS):
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase5_left_right_oblique_ss
BFS.__init__(
self,
"7x7x7-phase5",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5-left-right-oblique.txt",
False, # store_as_hex
phase5_left_right_oblique_ss,
use_c=True,
)
# fmt: on
class StartingStates777Phase5LeftMiddleOblique(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-phase5-left-middle-oblique",
(
# do not break an oblique edge
"3Uw", "3Uw'", "3Uw2",
"3Dw", "3Dw'", "3Dw2",
"3Fw", "3Fw'", "3Fw2",
"3Bw", "3Bw'", "3Bw2",
"3Lw", "3Lw'", "3Lw2",
"3Rw", "3Rw'", "3Rw2",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-phase5-left-middle-oblique.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U . . .
. . . . . U .
. U . . . U .
. U . . . . .
. . . U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . x x . . . . . . . . . . . . x x . . .
. . . . . . . . . . . . x . . . . . . . . . . . . . x .
. . . . . . . . x . . . x . . . . . . . . . x . . . x .
. . . . . . . . x . . . . . . . . . . . . . x . . . . .
. . . . . . . . . . x x . . . . . . . . . . . . x x . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U . . .
. . . . . U .
. U . . . U .
. U . . . . .
. . . U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Phase5LeftMiddleOblique(BFS):
def __init__(self):
# fmt: off
# rubiks cube libraries
from rubikscubelookuptables.builder777ss import phase5_left_middle_oblique_ss
BFS.__init__(
self,
"7x7x7-phase5",
(
# keep inside centers staged
"3Uw", "3Uw'",
"3Dw", "3Dw'",
"3Fw", "3Fw'",
"3Bw", "3Bw'",
"3Lw", "3Lw'",
"3Rw", "3Rw'",
# keep LR centers staged
"Uw", "Uw'",
"Dw", "Dw'",
"Fw", "Fw'",
"Bw", "Bw'",
# we are not manipulating anyting on L or R
"L", "L'", "L2",
"R", "R'", "R2",
),
"7x7x7",
"lookup-table-7x7x7-phase5-left-middle-oblique.txt",
False, # store_as_hex
phase5_left_middle_oblique_ss,
use_c=True,
)
# fmt: on
# =====================================
# phase 7 - LR centers to vertical bars
# =====================================
class StartingStates777Step41(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step41",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'", "3Lw2",
"Lw", "Lw'", "Lw2",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'", "3Rw2",
"Rw", "Rw'", "Rw2",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"L", "L'",
"R", "R'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step41.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L . . . L . . . . . . . . . R . . . R . . . . . . . .
. L . . . L . . . . . . . . . R . . . R . . . . . . . .
. L . . . L . . . . . . . . . R . . . R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. R . . . R . . . . . . . . . L . . . L . . . . . . . .
. R . . . R . . . . . . . . . L . . . L . . . . . . . .
. R . . . R . . . . . . . . . L . . . L . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step41(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step41",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
"U", "U'", "U2",
"D", "D'", "D2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step41.txt",
False, # store_as_hex
(
(
"..........................................................LLL...L...L..L...L..L...L...LLL...................................................................RRR...R...R..R...R..R...R...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLL...L...R..L...R..L...R...LLL...................................................................RRR...L...R..L...R..L...R...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLL...L...R..L...R..L...R...LLL...................................................................RRR...R...L..R...L..R...L...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLL...R...L..R...L..R...L...LLL...................................................................RRR...L...R..L...R..L...R...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLL...R...L..R...L..R...L...LLL...................................................................RRR...R...L..R...L..R...L...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLL...R...R..R...R..R...R...LLL...................................................................RRR...L...L..L...L..L...L...RRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...L..L...L..L...L...LLR...................................................................LRR...R...R..R...R..R...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...L..L...L..L...L...LLR...................................................................RRL...R...R..R...R..R...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...R..L...R..L...R...LLR...................................................................LRR...L...R..L...R..L...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...R..L...R..L...R...LLR...................................................................LRR...R...L..R...L..R...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...R..L...R..L...R...LLR...................................................................RRL...L...R..L...R..L...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...L...R..L...R..L...R...LLR...................................................................RRL...R...L..R...L..R...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...L..R...L..R...L...LLR...................................................................LRR...L...R..L...R..L...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...L..R...L..R...L...LLR...................................................................LRR...R...L..R...L..R...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...L..R...L..R...L...LLR...................................................................RRL...L...R..L...R..L...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...L..R...L..R...L...LLR...................................................................RRL...R...L..R...L..R...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...R..R...R..R...R...LLR...................................................................LRR...L...L..L...L..L...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LLR...R...R..R...R..R...R...LLR...................................................................RRL...L...L..L...L..L...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...L...L..L...L..L...L...LRL...................................................................RLR...R...R..R...R..R...R...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...L...R..L...R..L...R...LRL...................................................................RLR...L...R..L...R..L...R...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...L...R..L...R..L...R...LRL...................................................................RLR...R...L..R...L..R...L...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...R...L..R...L..R...L...LRL...................................................................RLR...L...R..L...R..L...R...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...R...L..R...L..R...L...LRL...................................................................RLR...R...L..R...L..R...L...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRL...R...R..R...R..R...R...LRL...................................................................RLR...L...L..L...L..L...L...RLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...L..L...L..L...L...LRR...................................................................LLR...R...R..R...R..R...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...L..L...L..L...L...LRR...................................................................RLL...R...R..R...R..R...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...R..L...R..L...R...LRR...................................................................LLR...L...R..L...R..L...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...R..L...R..L...R...LRR...................................................................LLR...R...L..R...L..R...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...R..L...R..L...R...LRR...................................................................RLL...L...R..L...R..L...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...L...R..L...R..L...R...LRR...................................................................RLL...R...L..R...L..R...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...L..R...L..R...L...LRR...................................................................LLR...L...R..L...R..L...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...L..R...L..R...L...LRR...................................................................LLR...R...L..R...L..R...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...L..R...L..R...L...LRR...................................................................RLL...L...R..L...R..L...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...L..R...L..R...L...LRR...................................................................RLL...R...L..R...L..R...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...R..R...R..R...R...LRR...................................................................LLR...L...L..L...L..L...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................LRR...R...R..R...R..R...R...LRR...................................................................RLL...L...L..L...L..L...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...L..L...L..L...L...RLL...................................................................LRR...R...R..R...R..R...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...L..L...L..L...L...RLL...................................................................RRL...R...R..R...R..R...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...R..L...R..L...R...RLL...................................................................LRR...L...R..L...R..L...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...R..L...R..L...R...RLL...................................................................LRR...R...L..R...L..R...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...R..L...R..L...R...RLL...................................................................RRL...L...R..L...R..L...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...L...R..L...R..L...R...RLL...................................................................RRL...R...L..R...L..R...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...L..R...L..R...L...RLL...................................................................LRR...L...R..L...R..L...R...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...L..R...L..R...L...RLL...................................................................LRR...R...L..R...L..R...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...L..R...L..R...L...RLL...................................................................RRL...L...R..L...R..L...R...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...L..R...L..R...L...RLL...................................................................RRL...R...L..R...L..R...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...R..R...R..R...R...RLL...................................................................LRR...L...L..L...L..L...L...LRR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLL...R...R..R...R..R...R...RLL...................................................................RRL...L...L..L...L..L...L...RRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...L...L..L...L..L...L...RLR...................................................................LRL...R...R..R...R..R...R...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...L...R..L...R..L...R...RLR...................................................................LRL...L...R..L...R..L...R...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...L...R..L...R..L...R...RLR...................................................................LRL...R...L..R...L..R...L...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...R...L..R...L..R...L...RLR...................................................................LRL...L...R..L...R..L...R...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...R...L..R...L..R...L...RLR...................................................................LRL...R...L..R...L..R...L...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RLR...R...R..R...R..R...R...RLR...................................................................LRL...L...L..L...L..L...L...LRL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...L..L...L..L...L...RRL...................................................................LLR...R...R..R...R..R...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...L..L...L..L...L...RRL...................................................................RLL...R...R..R...R..R...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...R..L...R..L...R...RRL...................................................................LLR...L...R..L...R..L...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...R..L...R..L...R...RRL...................................................................LLR...R...L..R...L..R...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...R..L...R..L...R...RRL...................................................................RLL...L...R..L...R..L...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...L...R..L...R..L...R...RRL...................................................................RLL...R...L..R...L..R...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...L..R...L..R...L...RRL...................................................................LLR...L...R..L...R..L...R...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...L..R...L..R...L...RRL...................................................................LLR...R...L..R...L..R...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...L..R...L..R...L...RRL...................................................................RLL...L...R..L...R..L...R...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...L..R...L..R...L...RRL...................................................................RLL...R...L..R...L..R...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...R..R...R..R...R...RRL...................................................................LLR...L...L..L...L..L...L...LLR...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRL...R...R..R...R..R...R...RRL...................................................................RLL...L...L..L...L..L...L...RLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...L...L..L...L..L...L...RRR...................................................................LLL...R...R..R...R..R...R...LLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...L...R..L...R..L...R...RRR...................................................................LLL...L...R..L...R..L...R...LLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...L...R..L...R..L...R...RRR...................................................................LLL...R...L..R...L..R...L...LLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...R...L..R...L..R...L...RRR...................................................................LLL...L...R..L...R..L...R...LLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...R...L..R...L..R...L...RRR...................................................................LLL...R...L..R...L..R...L...LLL...........................................................................................................",
"ULFRBD",
),
(
"..........................................................RRR...R...R..R...R..R...R...RRR...................................................................LLL...L...L..L...L..L...L...LLL...........................................................................................................",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step42(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step42",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'", "3Lw2",
"Lw", "Lw'", "Lw2",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'", "3Rw2",
"Rw", "Rw'", "Rw2",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"L", "L'",
"R", "R'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step42.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L . . . . . . . . . . . . . R . . . . . . . . . . .
. . L L L L . . . . . . . . . . R R R R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L L L L . . . . . . . . . . R R R R . . . . . . . . .
. . . . L . . . . . . . . . . . . . R . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step42(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step42",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
"U", "U'", "U2",
"D", "D'", "D2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step42.txt",
False, # store_as_hex
(
(
"..........................................................L......LLLL...LLL...LLLL......L...................................................................R......RRRR...RRR...RRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLLL...LLL...RLLL......L...................................................................R......RRRL...RRR...RRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLLL...LLL...RLLL......L...................................................................R......RRRR...RRR...LRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLLR...LLL...LLLL......L...................................................................R......RRRL...RRR...RRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLLR...LLL...LLLL......L...................................................................R......RRRR...RRR...LRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLLR...LLL...RLLL......L...................................................................R......RRRL...RRR...LRRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...LLLR......R...................................................................L......LRRR...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...LLLR......R...................................................................R......RRLR...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...RLLR......R...................................................................L......LRRL...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...RLLR......R...................................................................L......LRRR...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...RLLR......R...................................................................R......RRLL...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRL...LLR...RLLR......R...................................................................R......RRLR...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...LLLR......R...................................................................L......LRRL...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...LLLR......R...................................................................L......LRRR...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...LLLR......R...................................................................R......RRLL...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...LLLR......R...................................................................R......RRLR...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...RLLR......R...................................................................L......LRRL...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................L......LLRR...LLR...RLLR......R...................................................................R......RRLL...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...LRLL......L...................................................................L......LRRR...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...LRLL......L...................................................................R......RRLR...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...RRLL......L...................................................................L......LRRL...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...RRLL......L...................................................................L......LRRR...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...RRLL......L...................................................................R......RRLL...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLL...RLL...RRLL......L...................................................................R......RRLR...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...LRLL......L...................................................................L......LRRL...LRR...RLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...LRLL......L...................................................................L......LRRR...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...LRLL......L...................................................................R......RRLL...RRL...RRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...LRLL......L...................................................................R......RRLR...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...RRLL......L...................................................................L......LRRL...LRR...LLRR......R...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLLR...RLL...RRLL......L...................................................................R......RRLL...RRL...LRRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRL...RLR...LRLR......R...................................................................L......LRLR...LRL...RLRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRL...RLR...RRLR......R...................................................................L......LRLL...LRL...RLRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRL...RLR...RRLR......R...................................................................L......LRLR...LRL...LLRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRR...RLR...LRLR......R...................................................................L......LRLL...LRL...RLRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRR...RLR...LRLR......R...................................................................L......LRLR...LRL...LLRL......L...........................................................................................................",
"ULFRBD",
),
(
"..........................................................R......RLRR...RLR...RRLR......R...................................................................L......LRLL...LRL...LLRL......L...........................................................................................................",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step43(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step43",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'", "3Lw2",
"Lw", "Lw'", "Lw2",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'", "3Rw2",
"Rw", "Rw'", "Rw2",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"L", "L'",
"R", "R'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step43.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . L . . . . . . . . . . . . . R . . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . . L . . . . . . . . . . . . . R . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step43(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step43",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
"U", "U'", "U2",
"D", "D'", "D2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step43.txt",
False, # store_as_hex
(
(
"...........................................................L.....LLL...LLLLL...LLL.....L.....................................................................R.....RRR...RRRRR...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLL...LLLLR...LLL.....L.....................................................................R.....RRR...LRRRR...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLL...LLLLR...LLL.....L.....................................................................R.....RRR...RRRRL...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLL...RLLLL...LLL.....L.....................................................................R.....RRR...LRRRR...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLL...RLLLL...LLL.....L.....................................................................R.....RRR...RRRRL...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLL...RLLLR...LLL.....L.....................................................................R.....RRR...LRRRL...RRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRL...LLR.....L.....................................................................R.....LRR...RLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRL...LLR.....L.....................................................................R.....RRL...RRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRR...LLR.....L.....................................................................R.....LRR...LLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRR...LLR.....L.....................................................................R.....LRR...RLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRR...LLR.....L.....................................................................R.....RRL...LRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...LLLRR...LLR.....L.....................................................................R.....RRL...RRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRL...LLR.....L.....................................................................R.....LRR...LLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRL...LLR.....L.....................................................................R.....LRR...RLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRL...LLR.....L.....................................................................R.....RRL...LRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRL...LLR.....L.....................................................................R.....RRL...RRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRR...LLR.....L.....................................................................R.....LRR...LLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....LLR...RLLRR...LLR.....L.....................................................................R.....RRL...LRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLL...RLL.....L.....................................................................R.....LRR...RLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLL...RLL.....L.....................................................................R.....RRL...RRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLR...RLL.....L.....................................................................R.....LRR...LLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLR...RLL.....L.....................................................................R.....LRR...RLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLR...RLL.....L.....................................................................R.....RRL...LRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...LRLLR...RLL.....L.....................................................................R.....RRL...RRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLL...RLL.....L.....................................................................R.....LRR...LLRRR...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLL...RLL.....L.....................................................................R.....LRR...RLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLL...RLL.....L.....................................................................R.....RRL...LRRLR...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLL...RLL.....L.....................................................................R.....RRL...RRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLR...RLL.....L.....................................................................R.....LRR...LLRRL...LRR.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLL...RRLLR...RLL.....L.....................................................................R.....RRL...LRRLL...RRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...LRLRL...RLR.....L.....................................................................R.....LRL...RLRLR...LRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...LRLRR...RLR.....L.....................................................................R.....LRL...LLRLR...LRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...LRLRR...RLR.....L.....................................................................R.....LRL...RLRLL...LRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...RRLRL...RLR.....L.....................................................................R.....LRL...LLRLR...LRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...RRLRL...RLR.....L.....................................................................R.....LRL...RLRLL...LRL.....R............................................................................................................",
"ULFRBD",
),
(
"...........................................................L.....RLR...RRLRR...RLR.....L.....................................................................R.....LRL...LLRLL...LRL.....R............................................................................................................",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step44(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step44",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'", "3Lw2",
"Lw", "Lw'", "Lw2",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'", "3Rw2",
"Rw", "Rw'", "Rw2",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"L", "L'",
"R", "R'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step44.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . L . . . . . . . . . . . . . R . . . . . . . . .
. L L L L . . . . . . . . . . R R R R . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . L L L L . . . . . . . . . . R R R R . . . . . . . .
. . L . . . . . . . . . . . . . R . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step44(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step44",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
"U", "U'", "U2",
"D", "D'", "D2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step44.txt",
False, # store_as_hex
(
(
"............................................................L...LLLL....LLL....LLLL...L.......................................................................R...RRRR....RRR....RRRR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LLLL....LLL....LLLR...L.......................................................................R...LRRR....RRR....RRRR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LLLL....LLL....LLLR...L.......................................................................R...RRRR....RRR....RRRL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLL...R.......................................................................L...RRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLL...R.......................................................................R...RLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLR...R.......................................................................L...LRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLR...R.......................................................................L...RRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLR...R.......................................................................R...LLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...LRLL....RLL....RLLR...R.......................................................................R...RLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RLLL....LLL....LLLL...L.......................................................................R...LRRR....RRR....RRRR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RLLL....LLL....LLLL...L.......................................................................R...RRRR....RRR....RRRL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RLLL....LLL....LLLR...L.......................................................................R...LRRR....RRR....RRRL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLL...R.......................................................................L...LRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLL...R.......................................................................L...RRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLL...R.......................................................................R...LLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLL...R.......................................................................R...RLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLR...R.......................................................................L...LRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................L...RRLL....RLL....RLLR...R.......................................................................R...LLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRL...L.......................................................................L...RRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRL...L.......................................................................R...RLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRR...L.......................................................................L...LRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRR...L.......................................................................L...RRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRR...L.......................................................................R...LLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LLLR....LLR....LLRR...L.......................................................................R...RLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LRLR....RLR....RLRL...R.......................................................................L...RLRL....LRL....LRLR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LRLR....RLR....RLRR...R.......................................................................L...LLRL....LRL....LRLR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...LRLR....RLR....RLRR...R.......................................................................L...RLRL....LRL....LRLL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRL...L.......................................................................L...LRRL....RRL....RRLR...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRL...L.......................................................................L...RRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRL...L.......................................................................R...LLRR....LRR....LRRR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRL...L.......................................................................R...RLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRR...L.......................................................................L...LRRL....RRL....RRLL...R.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RLLR....LLR....LLRR...L.......................................................................R...LLRR....LRR....LRRL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RRLR....RLR....RLRL...R.......................................................................L...LLRL....LRL....LRLR...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RRLR....RLR....RLRL...R.......................................................................L...RLRL....LRL....LRLL...L.............................................................................................................",
"ULFRBD",
),
(
"............................................................R...RRLR....RLR....RLRR...R.......................................................................L...LLRL....LRL....LRLL...L.............................................................................................................",
"ULFRBD",
),
),
)
# fmt: on
# =====================================
# phase 8 - UD centers to vertical bars
# =====================================
class StartingStates777Step51(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step51",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'", "3Fw2",
"Fw", "Fw'", "Fw2",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'", "3Bw2",
"Bw", "Bw'", "Bw2",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"U", "U'",
"D", "D'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step51.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . D D D . .
. D . . . D .
. D . . . D .
. D . . . D .
. . D D D . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . D D D . .
. D . . . D .
. D . . . D .
. D . . . D .
. . D D D . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U U . .
. U . . . U .
. U . . . U .
. U . . . U .
. . U U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step51(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step51",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in vertical stripes
"L", "L'",
"R", "R'",
"3Uw2", "Uw2",
"3Dw2", "Dw2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step51.txt",
False, # store_as_hex
(
(
".........DDD...D...D..D...D..D...D...DDD......................................................................................................................................................................................................................UUU...U...U..U...U..U...U...UUU.........",
"ULFRBD",
),
(
".........DDD...D...U..D...U..D...U...DDD......................................................................................................................................................................................................................UUU...D...U..D...U..D...U...UUU.........",
"ULFRBD",
),
(
".........DDD...D...U..D...U..D...U...DDD......................................................................................................................................................................................................................UUU...U...D..U...D..U...D...UUU.........",
"ULFRBD",
),
(
".........DDD...U...D..U...D..U...D...DDD......................................................................................................................................................................................................................UUU...D...U..D...U..D...U...UUU.........",
"ULFRBD",
),
(
".........DDD...U...D..U...D..U...D...DDD......................................................................................................................................................................................................................UUU...U...D..U...D..U...D...UUU.........",
"ULFRBD",
),
(
".........DDD...U...U..U...U..U...U...DDD......................................................................................................................................................................................................................UUU...D...D..D...D..D...D...UUU.........",
"ULFRBD",
),
(
".........DDU...D...D..D...D..D...D...DDU......................................................................................................................................................................................................................DUU...U...U..U...U..U...U...DUU.........",
"ULFRBD",
),
(
".........DDU...D...D..D...D..D...D...DDU......................................................................................................................................................................................................................UUD...U...U..U...U..U...U...UUD.........",
"ULFRBD",
),
(
".........DDU...D...U..D...U..D...U...DDU......................................................................................................................................................................................................................DUU...D...U..D...U..D...U...DUU.........",
"ULFRBD",
),
(
".........DDU...D...U..D...U..D...U...DDU......................................................................................................................................................................................................................DUU...U...D..U...D..U...D...DUU.........",
"ULFRBD",
),
(
".........DDU...D...U..D...U..D...U...DDU......................................................................................................................................................................................................................UUD...D...U..D...U..D...U...UUD.........",
"ULFRBD",
),
(
".........DDU...D...U..D...U..D...U...DDU......................................................................................................................................................................................................................UUD...U...D..U...D..U...D...UUD.........",
"ULFRBD",
),
(
".........DDU...U...D..U...D..U...D...DDU......................................................................................................................................................................................................................DUU...D...U..D...U..D...U...DUU.........",
"ULFRBD",
),
(
".........DDU...U...D..U...D..U...D...DDU......................................................................................................................................................................................................................DUU...U...D..U...D..U...D...DUU.........",
"ULFRBD",
),
(
".........DDU...U...D..U...D..U...D...DDU......................................................................................................................................................................................................................UUD...D...U..D...U..D...U...UUD.........",
"ULFRBD",
),
(
".........DDU...U...D..U...D..U...D...DDU......................................................................................................................................................................................................................UUD...U...D..U...D..U...D...UUD.........",
"ULFRBD",
),
(
".........DDU...U...U..U...U..U...U...DDU......................................................................................................................................................................................................................DUU...D...D..D...D..D...D...DUU.........",
"ULFRBD",
),
(
".........DDU...U...U..U...U..U...U...DDU......................................................................................................................................................................................................................UUD...D...D..D...D..D...D...UUD.........",
"ULFRBD",
),
(
".........DUD...D...D..D...D..D...D...DUD......................................................................................................................................................................................................................UDU...U...U..U...U..U...U...UDU.........",
"ULFRBD",
),
(
".........DUD...D...U..D...U..D...U...DUD......................................................................................................................................................................................................................UDU...D...U..D...U..D...U...UDU.........",
"ULFRBD",
),
(
".........DUD...D...U..D...U..D...U...DUD......................................................................................................................................................................................................................UDU...U...D..U...D..U...D...UDU.........",
"ULFRBD",
),
(
".........DUD...U...D..U...D..U...D...DUD......................................................................................................................................................................................................................UDU...D...U..D...U..D...U...UDU.........",
"ULFRBD",
),
(
".........DUD...U...D..U...D..U...D...DUD......................................................................................................................................................................................................................UDU...U...D..U...D..U...D...UDU.........",
"ULFRBD",
),
(
".........DUD...U...U..U...U..U...U...DUD......................................................................................................................................................................................................................UDU...D...D..D...D..D...D...UDU.........",
"ULFRBD",
),
(
".........DUU...D...D..D...D..D...D...DUU......................................................................................................................................................................................................................DDU...U...U..U...U..U...U...DDU.........",
"ULFRBD",
),
(
".........DUU...D...D..D...D..D...D...DUU......................................................................................................................................................................................................................UDD...U...U..U...U..U...U...UDD.........",
"ULFRBD",
),
(
".........DUU...D...U..D...U..D...U...DUU......................................................................................................................................................................................................................DDU...D...U..D...U..D...U...DDU.........",
"ULFRBD",
),
(
".........DUU...D...U..D...U..D...U...DUU......................................................................................................................................................................................................................DDU...U...D..U...D..U...D...DDU.........",
"ULFRBD",
),
(
".........DUU...D...U..D...U..D...U...DUU......................................................................................................................................................................................................................UDD...D...U..D...U..D...U...UDD.........",
"ULFRBD",
),
(
".........DUU...D...U..D...U..D...U...DUU......................................................................................................................................................................................................................UDD...U...D..U...D..U...D...UDD.........",
"ULFRBD",
),
(
".........DUU...U...D..U...D..U...D...DUU......................................................................................................................................................................................................................DDU...D...U..D...U..D...U...DDU.........",
"ULFRBD",
),
(
".........DUU...U...D..U...D..U...D...DUU......................................................................................................................................................................................................................DDU...U...D..U...D..U...D...DDU.........",
"ULFRBD",
),
(
".........DUU...U...D..U...D..U...D...DUU......................................................................................................................................................................................................................UDD...D...U..D...U..D...U...UDD.........",
"ULFRBD",
),
(
".........DUU...U...D..U...D..U...D...DUU......................................................................................................................................................................................................................UDD...U...D..U...D..U...D...UDD.........",
"ULFRBD",
),
(
".........DUU...U...U..U...U..U...U...DUU......................................................................................................................................................................................................................DDU...D...D..D...D..D...D...DDU.........",
"ULFRBD",
),
(
".........DUU...U...U..U...U..U...U...DUU......................................................................................................................................................................................................................UDD...D...D..D...D..D...D...UDD.........",
"ULFRBD",
),
(
".........UDD...D...D..D...D..D...D...UDD......................................................................................................................................................................................................................DUU...U...U..U...U..U...U...DUU.........",
"ULFRBD",
),
(
".........UDD...D...D..D...D..D...D...UDD......................................................................................................................................................................................................................UUD...U...U..U...U..U...U...UUD.........",
"ULFRBD",
),
(
".........UDD...D...U..D...U..D...U...UDD......................................................................................................................................................................................................................DUU...D...U..D...U..D...U...DUU.........",
"ULFRBD",
),
(
".........UDD...D...U..D...U..D...U...UDD......................................................................................................................................................................................................................DUU...U...D..U...D..U...D...DUU.........",
"ULFRBD",
),
(
".........UDD...D...U..D...U..D...U...UDD......................................................................................................................................................................................................................UUD...D...U..D...U..D...U...UUD.........",
"ULFRBD",
),
(
".........UDD...D...U..D...U..D...U...UDD......................................................................................................................................................................................................................UUD...U...D..U...D..U...D...UUD.........",
"ULFRBD",
),
(
".........UDD...U...D..U...D..U...D...UDD......................................................................................................................................................................................................................DUU...D...U..D...U..D...U...DUU.........",
"ULFRBD",
),
(
".........UDD...U...D..U...D..U...D...UDD......................................................................................................................................................................................................................DUU...U...D..U...D..U...D...DUU.........",
"ULFRBD",
),
(
".........UDD...U...D..U...D..U...D...UDD......................................................................................................................................................................................................................UUD...D...U..D...U..D...U...UUD.........",
"ULFRBD",
),
(
".........UDD...U...D..U...D..U...D...UDD......................................................................................................................................................................................................................UUD...U...D..U...D..U...D...UUD.........",
"ULFRBD",
),
(
".........UDD...U...U..U...U..U...U...UDD......................................................................................................................................................................................................................DUU...D...D..D...D..D...D...DUU.........",
"ULFRBD",
),
(
".........UDD...U...U..U...U..U...U...UDD......................................................................................................................................................................................................................UUD...D...D..D...D..D...D...UUD.........",
"ULFRBD",
),
(
".........UDU...D...D..D...D..D...D...UDU......................................................................................................................................................................................................................DUD...U...U..U...U..U...U...DUD.........",
"ULFRBD",
),
(
".........UDU...D...U..D...U..D...U...UDU......................................................................................................................................................................................................................DUD...D...U..D...U..D...U...DUD.........",
"ULFRBD",
),
(
".........UDU...D...U..D...U..D...U...UDU......................................................................................................................................................................................................................DUD...U...D..U...D..U...D...DUD.........",
"ULFRBD",
),
(
".........UDU...U...D..U...D..U...D...UDU......................................................................................................................................................................................................................DUD...D...U..D...U..D...U...DUD.........",
"ULFRBD",
),
(
".........UDU...U...D..U...D..U...D...UDU......................................................................................................................................................................................................................DUD...U...D..U...D..U...D...DUD.........",
"ULFRBD",
),
(
".........UDU...U...U..U...U..U...U...UDU......................................................................................................................................................................................................................DUD...D...D..D...D..D...D...DUD.........",
"ULFRBD",
),
(
".........UUD...D...D..D...D..D...D...UUD......................................................................................................................................................................................................................DDU...U...U..U...U..U...U...DDU.........",
"ULFRBD",
),
(
".........UUD...D...D..D...D..D...D...UUD......................................................................................................................................................................................................................UDD...U...U..U...U..U...U...UDD.........",
"ULFRBD",
),
(
".........UUD...D...U..D...U..D...U...UUD......................................................................................................................................................................................................................DDU...D...U..D...U..D...U...DDU.........",
"ULFRBD",
),
(
".........UUD...D...U..D...U..D...U...UUD......................................................................................................................................................................................................................DDU...U...D..U...D..U...D...DDU.........",
"ULFRBD",
),
(
".........UUD...D...U..D...U..D...U...UUD......................................................................................................................................................................................................................UDD...D...U..D...U..D...U...UDD.........",
"ULFRBD",
),
(
".........UUD...D...U..D...U..D...U...UUD......................................................................................................................................................................................................................UDD...U...D..U...D..U...D...UDD.........",
"ULFRBD",
),
(
".........UUD...U...D..U...D..U...D...UUD......................................................................................................................................................................................................................DDU...D...U..D...U..D...U...DDU.........",
"ULFRBD",
),
(
".........UUD...U...D..U...D..U...D...UUD......................................................................................................................................................................................................................DDU...U...D..U...D..U...D...DDU.........",
"ULFRBD",
),
(
".........UUD...U...D..U...D..U...D...UUD......................................................................................................................................................................................................................UDD...D...U..D...U..D...U...UDD.........",
"ULFRBD",
),
(
".........UUD...U...D..U...D..U...D...UUD......................................................................................................................................................................................................................UDD...U...D..U...D..U...D...UDD.........",
"ULFRBD",
),
(
".........UUD...U...U..U...U..U...U...UUD......................................................................................................................................................................................................................DDU...D...D..D...D..D...D...DDU.........",
"ULFRBD",
),
(
".........UUD...U...U..U...U..U...U...UUD......................................................................................................................................................................................................................UDD...D...D..D...D..D...D...UDD.........",
"ULFRBD",
),
(
".........UUU...D...D..D...D..D...D...UUU......................................................................................................................................................................................................................DDD...U...U..U...U..U...U...DDD.........",
"ULFRBD",
),
(
".........UUU...D...U..D...U..D...U...UUU......................................................................................................................................................................................................................DDD...D...U..D...U..D...U...DDD.........",
"ULFRBD",
),
(
".........UUU...D...U..D...U..D...U...UUU......................................................................................................................................................................................................................DDD...U...D..U...D..U...D...DDD.........",
"ULFRBD",
),
(
".........UUU...U...D..U...D..U...D...UUU......................................................................................................................................................................................................................DDD...D...U..D...U..D...U...DDD.........",
"ULFRBD",
),
(
".........UUU...U...D..U...D..U...D...UUU......................................................................................................................................................................................................................DDD...U...D..U...D..U...D...DDD.........",
"ULFRBD",
),
(
".........UUU...U...U..U...U..U...U...UUU......................................................................................................................................................................................................................DDD...D...D..D...D..D...D...DDD.........",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step52(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step52",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'", "3Fw2",
"Fw", "Fw'", "Fw2",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'", "3Bw2",
"Bw", "Bw'", "Bw2",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"U", "U'",
"D", "D'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step52.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U . . . .
. . U U U U .
. . U U U . .
. U U U U . .
. . . . U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . D . . . .
. . D D D D .
. . D D D . .
. D D D D . .
. . . . D . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step52(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step52",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in vertical stripes
"L", "L'",
"R", "R'",
"3Uw2", "Uw2",
"3Dw2", "Dw2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step52.txt",
False, # store_as_hex
(
(
".........D......DUDD...DUD...DDUD......D......................................................................................................................................................................................................................U......UDUU...UDU...UUDU......U.........",
"ULFRBD",
),
(
".........D......DUDD...DUD...UDUD......D......................................................................................................................................................................................................................U......UDUD...UDU...UUDU......U.........",
"ULFRBD",
),
(
".........D......DUDD...DUD...UDUD......D......................................................................................................................................................................................................................U......UDUU...UDU...DUDU......U.........",
"ULFRBD",
),
(
".........D......DUDU...DUD...DDUD......D......................................................................................................................................................................................................................U......UDUD...UDU...UUDU......U.........",
"ULFRBD",
),
(
".........D......DUDU...DUD...DDUD......D......................................................................................................................................................................................................................U......UDUU...UDU...DUDU......U.........",
"ULFRBD",
),
(
".........D......DUDU...DUD...UDUD......D......................................................................................................................................................................................................................U......UDUD...UDU...DUDU......U.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...DDUU......U......................................................................................................................................................................................................................D......DDUU...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...DDUU......U......................................................................................................................................................................................................................U......UDDU...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...UDUU......U......................................................................................................................................................................................................................D......DDUD...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...UDUU......U......................................................................................................................................................................................................................D......DDUU...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...UDUU......U......................................................................................................................................................................................................................U......UDDD...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........D......DUUD...DUU...UDUU......U......................................................................................................................................................................................................................U......UDDU...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...DDUU......U......................................................................................................................................................................................................................D......DDUD...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...DDUU......U......................................................................................................................................................................................................................D......DDUU...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...DDUU......U......................................................................................................................................................................................................................U......UDDD...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...DDUU......U......................................................................................................................................................................................................................U......UDDU...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...UDUU......U......................................................................................................................................................................................................................D......DDUD...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........D......DUUU...DUU...UDUU......U......................................................................................................................................................................................................................U......UDDD...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...DUUD......D......................................................................................................................................................................................................................D......DDUU...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...DUUD......D......................................................................................................................................................................................................................U......UDDU...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...UUUD......D......................................................................................................................................................................................................................D......DDUD...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...UUUD......D......................................................................................................................................................................................................................D......DDUU...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...UUUD......D......................................................................................................................................................................................................................U......UDDD...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........U......UUDD...UUD...UUUD......D......................................................................................................................................................................................................................U......UDDU...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...DUUD......D......................................................................................................................................................................................................................D......DDUD...DDU...UDDU......U.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...DUUD......D......................................................................................................................................................................................................................D......DDUU...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...DUUD......D......................................................................................................................................................................................................................U......UDDD...UDD...UUDD......D.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...DUUD......D......................................................................................................................................................................................................................U......UDDU...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...UUUD......D......................................................................................................................................................................................................................D......DDUD...DDU...DDDU......U.........",
"ULFRBD",
),
(
".........U......UUDU...UUD...UUUD......D......................................................................................................................................................................................................................U......UDDD...UDD...DUDD......D.........",
"ULFRBD",
),
(
".........U......UUUD...UUU...DUUU......U......................................................................................................................................................................................................................D......DDDU...DDD...UDDD......D.........",
"ULFRBD",
),
(
".........U......UUUD...UUU...UUUU......U......................................................................................................................................................................................................................D......DDDD...DDD...UDDD......D.........",
"ULFRBD",
),
(
".........U......UUUD...UUU...UUUU......U......................................................................................................................................................................................................................D......DDDU...DDD...DDDD......D.........",
"ULFRBD",
),
(
".........U......UUUU...UUU...DUUU......U......................................................................................................................................................................................................................D......DDDD...DDD...UDDD......D.........",
"ULFRBD",
),
(
".........U......UUUU...UUU...DUUU......U......................................................................................................................................................................................................................D......DDDU...DDD...DDDD......D.........",
"ULFRBD",
),
(
".........U......UUUU...UUU...UUUU......U......................................................................................................................................................................................................................D......DDDD...DDD...DDDD......D.........",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step53(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step53",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'", "3Fw2",
"Fw", "Fw'", "Fw2",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'", "3Bw2",
"Bw", "Bw'", "Bw2",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"U", "U'",
"D", "D'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step53.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . U . . .
. . U U U . .
. U U U U U .
. . U U U . .
. . . U . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . D . . .
. . D D D . .
. D D D D D .
. . D D D . .
. . . D . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step53(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step53",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in vertical stripes
"L", "L'",
"R", "R'",
"3Uw2", "Uw2",
"3Dw2", "Dw2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step53.txt",
False, # store_as_hex
(
(
"..........U.....DUD...DDUDD...DUD.....U........................................................................................................................................................................................................................D.....UDU...UUDUU...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUD...DDUDU...DUD.....U........................................................................................................................................................................................................................D.....UDU...DUDUU...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUD...DDUDU...DUD.....U........................................................................................................................................................................................................................D.....UDU...UUDUD...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUD...UDUDD...DUD.....U........................................................................................................................................................................................................................D.....UDU...DUDUU...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUD...UDUDD...DUD.....U........................................................................................................................................................................................................................D.....UDU...UUDUD...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUD...UDUDU...DUD.....U........................................................................................................................................................................................................................D.....UDU...DUDUD...UDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUD...DUU.....U........................................................................................................................................................................................................................D.....DDU...UDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUD...DUU.....U........................................................................................................................................................................................................................D.....UDD...UUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUU...DUU.....U........................................................................................................................................................................................................................D.....DDU...DDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUU...DUU.....U........................................................................................................................................................................................................................D.....DDU...UDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUU...DUU.....U........................................................................................................................................................................................................................D.....UDD...DUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...DDUUU...DUU.....U........................................................................................................................................................................................................................D.....UDD...UUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUD...DUU.....U........................................................................................................................................................................................................................D.....DDU...DDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUD...DUU.....U........................................................................................................................................................................................................................D.....DDU...UDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUD...DUU.....U........................................................................................................................................................................................................................D.....UDD...DUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUD...DUU.....U........................................................................................................................................................................................................................D.....UDD...UUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUU...DUU.....U........................................................................................................................................................................................................................D.....DDU...DDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....DUU...UDUUU...DUU.....U........................................................................................................................................................................................................................D.....UDD...DUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDD...UUD.....U........................................................................................................................................................................................................................D.....DDU...UDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDD...UUD.....U........................................................................................................................................................................................................................D.....UDD...UUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDU...UUD.....U........................................................................................................................................................................................................................D.....DDU...DDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDU...UUD.....U........................................................................................................................................................................................................................D.....DDU...UDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDU...UUD.....U........................................................................................................................................................................................................................D.....UDD...DUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...DUUDU...UUD.....U........................................................................................................................................................................................................................D.....UDD...UUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDD...UUD.....U........................................................................................................................................................................................................................D.....DDU...DDDUU...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDD...UUD.....U........................................................................................................................................................................................................................D.....DDU...UDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDD...UUD.....U........................................................................................................................................................................................................................D.....UDD...DUDDU...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDD...UUD.....U........................................................................................................................................................................................................................D.....UDD...UUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDU...UUD.....U........................................................................................................................................................................................................................D.....DDU...DDDUD...DDU.....D..........",
"ULFRBD",
),
(
"..........U.....UUD...UUUDU...UUD.....U........................................................................................................................................................................................................................D.....UDD...DUDDD...UDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...DUUUD...UUU.....U........................................................................................................................................................................................................................D.....DDD...UDDDU...DDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...DUUUU...UUU.....U........................................................................................................................................................................................................................D.....DDD...DDDDU...DDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...DUUUU...UUU.....U........................................................................................................................................................................................................................D.....DDD...UDDDD...DDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...UUUUD...UUU.....U........................................................................................................................................................................................................................D.....DDD...DDDDU...DDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...UUUUD...UUU.....U........................................................................................................................................................................................................................D.....DDD...UDDDD...DDD.....D..........",
"ULFRBD",
),
(
"..........U.....UUU...UUUUU...UUU.....U........................................................................................................................................................................................................................D.....DDD...DDDDD...DDD.....D..........",
"ULFRBD",
),
),
)
# fmt: on
class StartingStates777Step54(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step54",
(
"3Uw", "3Uw'", "3Uw2",
"Uw", "Uw'", "Uw2",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'", "3Fw2",
"Fw", "Fw'", "Fw2",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'", "3Bw2",
"Bw", "Bw'", "Bw2",
"3Dw", "3Dw'", "3Dw2",
"Dw", "Dw'", "Dw2",
"U", "U'",
"D", "D'",
),
"7x7x7",
"starting-states-lookup-table-7x7x7-step54.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . U . .
. U U U U . .
. . U U U . .
. . U U U U .
. . U . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . D . .
. D D D D . .
. . D D D . .
. . D D D D .
. . D . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step54(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step54",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in vertical stripes
"L", "L'",
"R", "R'",
"3Uw2", "Uw2",
"3Dw2", "Dw2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step54.txt",
False, # store_as_hex
(
(
"...........D...DDUD....DUD....DUDD...D..........................................................................................................................................................................................................................U...UUDU....UDU....UDUU...U...........",
"ULFRBD",
),
(
"...........D...DDUD....DUD....DUDU...D..........................................................................................................................................................................................................................U...DUDU....UDU....UDUU...U...........",
"ULFRBD",
),
(
"...........D...DDUD....DUD....DUDU...D..........................................................................................................................................................................................................................U...UUDU....UDU....UDUD...U...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDD...U..........................................................................................................................................................................................................................D...UUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDD...U..........................................................................................................................................................................................................................U...UDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDU...U..........................................................................................................................................................................................................................D...DUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDU...U..........................................................................................................................................................................................................................D...UUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDU...U..........................................................................................................................................................................................................................U...DDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........D...DUUD....UUD....UUDU...U..........................................................................................................................................................................................................................U...UDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........D...UDUD....DUD....DUDD...D..........................................................................................................................................................................................................................U...DUDU....UDU....UDUU...U...........",
"ULFRBD",
),
(
"...........D...UDUD....DUD....DUDD...D..........................................................................................................................................................................................................................U...UUDU....UDU....UDUD...U...........",
"ULFRBD",
),
(
"...........D...UDUD....DUD....DUDU...D..........................................................................................................................................................................................................................U...DUDU....UDU....UDUD...U...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDD...U..........................................................................................................................................................................................................................D...DUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDD...U..........................................................................................................................................................................................................................D...UUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDD...U..........................................................................................................................................................................................................................U...DDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDD...U..........................................................................................................................................................................................................................U...UDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDU...U..........................................................................................................................................................................................................................D...DUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........D...UUUD....UUD....UUDU...U..........................................................................................................................................................................................................................U...DDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUD...D..........................................................................................................................................................................................................................D...UUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUD...D..........................................................................................................................................................................................................................U...UDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUU...D..........................................................................................................................................................................................................................D...DUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUU...D..........................................................................................................................................................................................................................D...UUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUU...D..........................................................................................................................................................................................................................U...DDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........U...DDUU....DUU....DUUU...D..........................................................................................................................................................................................................................U...UDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........U...DUUU....UUU....UUUD...U..........................................................................................................................................................................................................................D...UDDD....DDD....DDDU...D...........",
"ULFRBD",
),
(
"...........U...DUUU....UUU....UUUU...U..........................................................................................................................................................................................................................D...DDDD....DDD....DDDU...D...........",
"ULFRBD",
),
(
"...........U...DUUU....UUU....UUUU...U..........................................................................................................................................................................................................................D...UDDD....DDD....DDDD...D...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUD...D..........................................................................................................................................................................................................................D...DUDD....UDD....UDDU...U...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUD...D..........................................................................................................................................................................................................................D...UUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUD...D..........................................................................................................................................................................................................................U...DDDU....DDU....DDUU...D...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUD...D..........................................................................................................................................................................................................................U...UDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUU...D..........................................................................................................................................................................................................................D...DUDD....UDD....UDDD...U...........",
"ULFRBD",
),
(
"...........U...UDUU....DUU....DUUU...D..........................................................................................................................................................................................................................U...DDDU....DDU....DDUD...D...........",
"ULFRBD",
),
(
"...........U...UUUU....UUU....UUUD...U..........................................................................................................................................................................................................................D...DDDD....DDD....DDDU...D...........",
"ULFRBD",
),
(
"...........U...UUUU....UUU....UUUD...U..........................................................................................................................................................................................................................D...UDDD....DDD....DDDD...D...........",
"ULFRBD",
),
(
"...........U...UUUU....UUU....UUUU...U..........................................................................................................................................................................................................................D...DDDD....DDD....DDDD...D...........",
"ULFRBD",
),
),
)
# fmt: on
class Build777Step55(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step55",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in vertical stripes
"L", "L'",
"R", "R'",
"3Uw2",
"3Dw2",
"Uw2",
"Dw2",
"F", "F'", "F2",
"D", "D'", "D2",
),
"7x7x7",
"lookup-table-7x7x7-step55.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
# =============================
# phase 9 - centers daisy solve
# =============================
class Build777Step61(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step61",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step61.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U U . .
. U U U U U .
. U U U U U .
. U U U U U .
. . U U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . D D D . .
. D D D D D .
. D D D D D .
. D D D D D .
. . D D D . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . D D D . .
. D U U U D .
. D U U U D .
. D U U U D .
. . D D D . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . U U U . .
. U D D D U .
. U D D D U .
. U D D D U .
. . U U U . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step62(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step62",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step62.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. R L L L R . . . . . . . . . L R R R L . . . . . . . .
. . R R R . . . . . . . . . . . L L L . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step65(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step65",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step65.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . F . . . . . . . . . . . . . B . . .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . F F F F F . . . . . . . . . B B B B B .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . . . F . . . . . . . . . . . . . B . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . B . . . . . . . . . . . . . F . . .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . B F F F B . . . . . . . . . F B B B F .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . . . B . . . . . . . . . . . . . F . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step66(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step66",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step66.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . B B B . . . . . . . . . . . F F F . .
. . . . . . . . B . . . B . . . . . . . . . F . . . F .
. . . . . . . . B . . . B . . . . . . . . . F . . . F .
. . . . . . . . B . . . B . . . . . . . . . F . . . F .
. . . . . . . . . B B B . . . . . . . . . . . F F F . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
# =================================================
# phase solve t-centers (for cubes larger than 777)
# =================================================
class Build777Step71(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step71",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step71.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . U U U . .
. U U U U U .
. U U U U U .
. U U U U U .
. . U U U . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . D D D . .
. D D D D D .
. D D D D D .
. D D D D D .
. . D D D . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step72(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step72",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step72.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. L L L L L . . . . . . . . . R R R R R . . . . . . . .
. . L L L . . . . . . . . . . . R R R . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step75(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step75",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step75.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . F . . . . . . . . . . . . . B . . .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . F F F F F . . . . . . . . . B B B B B .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . . . F . . . . . . . . . . . . . B . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
class Build777Step76(BFS):
def __init__(self):
# fmt: off
BFS.__init__(
self,
"7x7x7-step76",
# keep all centers staged
(
"3Uw", "3Uw'",
"Uw", "Uw'",
"3Lw", "3Lw'",
"Lw", "Lw'",
"3Fw", "3Fw'",
"Fw", "Fw'",
"3Rw", "3Rw'",
"Rw", "Rw'",
"3Bw", "3Bw'",
"Bw", "Bw'",
"3Dw", "3Dw'",
"Dw", "Dw'",
# keep LR in horizontal stripes
"L", "L'",
"R", "R'",
"3Fw2",
"3Bw2",
"Fw2",
"Bw2",
# keep UD in vertical stripes
"U", "U'",
"D", "D'",
),
"7x7x7",
"lookup-table-7x7x7-step76.txt",
False, # store_as_hex
(
(
"""
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . F . . . F . . . . . . . . . B . . . B .
. . . . . . . . . F F F . . . . . . . . . . . B B B . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . . """,
"ascii",
),
),
)
# fmt: on
| 51.908647
| 317
| 0.127159
| 10,070
| 223,311
| 2.76713
| 0.047468
| 0.030289
| 0.035098
| 0.037323
| 0.899336
| 0.87827
| 0.855877
| 0.808721
| 0.713763
| 0.649883
| 0
| 0.01455
| 0.34014
| 223,311
| 4,301
| 318
| 51.920716
| 0.174552
| 0.033608
| 0
| 0.63042
| 0
| 0.123882
| 0.637409
| 0.597993
| 0
| 0
| 0
| 0
| 0
| 1
| 0.016518
| false
| 0
| 0.003097
| 0
| 0.036132
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
25e91590d4bded45972d4c1dbaefb700fe131416
| 1,554
|
py
|
Python
|
tests/test_add_flaky_marker.py
|
daviddanielarch-zz/jenkins_flaky
|
b198cba788fdbdc462bc528bbca265faa09dfb91
|
[
"MIT"
] | null | null | null |
tests/test_add_flaky_marker.py
|
daviddanielarch-zz/jenkins_flaky
|
b198cba788fdbdc462bc528bbca265faa09dfb91
|
[
"MIT"
] | null | null | null |
tests/test_add_flaky_marker.py
|
daviddanielarch-zz/jenkins_flaky
|
b198cba788fdbdc462bc528bbca265faa09dfb91
|
[
"MIT"
] | 1
|
2021-04-08T00:01:04.000Z
|
2021-04-08T00:01:04.000Z
|
from utils.add_flaky_marker import add_flaky_marker
def test_marker_gets_added_with_class():
original_file = """
class TestClass:
def other_func1(self):
pass
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
"""
new_file = add_flaky_marker(original_file, 'function_to_mark', 'TestClass')
assert new_file.splitlines() == """
class TestClass:
def other_func1(self):
pass
@pytest.mark.flaky
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
""".splitlines()
def test_marker_gets_added_without_class():
original_file = """
def other_func1(self):
pass
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
"""
new_file = add_flaky_marker(original_file, 'function_to_mark')
assert new_file.splitlines() == """
def other_func1(self):
pass
@pytest.mark.flaky
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
""".splitlines()
def test_marker_gets_added_without_class_and_other_decorator():
original_file = """
def other_func1(self):
pass
@pytest.ads
@papapa
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
"""
new_file = add_flaky_marker(original_file, 'function_to_mark')
assert new_file.splitlines() == """
def other_func1(self):
pass
@pytest.mark.flaky
@pytest.ads
@papapa
def function_to_mark(self, arg1, arg2):
pass
def other_func2(self):
pass
""".splitlines()
| 17.659091
| 79
| 0.686615
| 212
| 1,554
| 4.70283
| 0.160377
| 0.096289
| 0.126379
| 0.102307
| 0.88666
| 0.864594
| 0.864594
| 0.791374
| 0.791374
| 0.791374
| 0
| 0.019293
| 0.199485
| 1,554
| 87
| 80
| 17.862069
| 0.782154
| 0
| 0
| 0.921875
| 0
| 0
| 0.603604
| 0.084942
| 0
| 0
| 0
| 0
| 0.046875
| 1
| 0.046875
| false
| 0.28125
| 0.015625
| 0
| 0.0625
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
d399b22d43cef47d5a98341171da0b03444d8dd5
| 20,957
|
py
|
Python
|
tests/unit/vpc/test_networkacl.py
|
Yurzs/boto
|
d739d6c52877699206e69b9901bbe92ea437ba5d
|
[
"MIT"
] | 5,079
|
2015-01-01T03:39:46.000Z
|
2022-03-31T07:38:22.000Z
|
tests/unit/vpc/test_networkacl.py
|
Yurzs/boto
|
d739d6c52877699206e69b9901bbe92ea437ba5d
|
[
"MIT"
] | 4,640
|
2015-07-08T16:19:08.000Z
|
2019-12-02T15:01:27.000Z
|
tests/unit/vpc/test_networkacl.py
|
Yurzs/boto
|
d739d6c52877699206e69b9901bbe92ea437ba5d
|
[
"MIT"
] | 2,033
|
2015-01-04T07:18:02.000Z
|
2022-03-28T19:55:47.000Z
|
from tests.unit import unittest
from tests.unit import AWSMockServiceTestCase
from boto.vpc import VPCConnection
class TestDescribeNetworkAcls(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<DescribeNetworkAclsResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<networkAclSet>
<item>
<networkAclId>acl-5566953c</networkAclId>
<vpcId>vpc-5266953b</vpcId>
<default>true</default>
<entrySet>
<item>
<ruleNumber>100</ruleNumber>
<protocol>all</protocol>
<ruleAction>allow</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>100</ruleNumber>
<protocol>all</protocol>
<ruleAction>allow</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
</entrySet>
<associationSet/>
<tagSet/>
</item>
<item>
<networkAclId>acl-5d659634</networkAclId>
<vpcId>vpc-5266953b</vpcId>
<default>false</default>
<entrySet>
<item>
<ruleNumber>110</ruleNumber>
<protocol>6</protocol>
<ruleAction>allow</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
<portRange>
<from>49152</from>
<to>65535</to>
</portRange>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>110</ruleNumber>
<protocol>6</protocol>
<ruleAction>allow</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
<portRange>
<from>80</from>
<to>80</to>
</portRange>
</item>
<item>
<ruleNumber>120</ruleNumber>
<protocol>6</protocol>
<ruleAction>allow</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
<portRange>
<from>443</from>
<to>443</to>
</portRange>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
</entrySet>
<associationSet>
<item>
<networkAclAssociationId>aclassoc-5c659635</networkAclAssociationId>
<networkAclId>acl-5d659634</networkAclId>
<subnetId>subnet-ff669596</subnetId>
</item>
<item>
<networkAclAssociationId>aclassoc-c26596ab</networkAclAssociationId>
<networkAclId>acl-5d659634</networkAclId>
<subnetId>subnet-f0669599</subnetId>
</item>
</associationSet>
<tagSet/>
</item>
</networkAclSet>
</DescribeNetworkAclsResponse>
"""
def test_get_all_network_acls(self):
self.set_http_response(status_code=200)
response = self.service_connection.get_all_network_acls(['acl-5566953c', 'acl-5d659634'],
[('vpc-id', 'vpc-5266953b')])
self.assert_request_parameters({
'Action': 'DescribeNetworkAcls',
'NetworkAclId.1': 'acl-5566953c',
'NetworkAclId.2': 'acl-5d659634',
'Filter.1.Name': 'vpc-id',
'Filter.1.Value.1': 'vpc-5266953b'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(len(response), 2)
class TestReplaceNetworkAclAssociation(AWSMockServiceTestCase):
connection_class = VPCConnection
get_all_network_acls_vpc_body = b"""
<DescribeNetworkAclsResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<networkAclSet>
<item>
<networkAclId>acl-5566953c</networkAclId>
<vpcId>vpc-5266953b</vpcId>
<default>true</default>
<entrySet>
<item>
<ruleNumber>100</ruleNumber>
<protocol>all</protocol>
<ruleAction>allow</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>100</ruleNumber>
<protocol>all</protocol>
<ruleAction>allow</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
</entrySet>
<associationSet/>
<tagSet/>
</item>
</networkAclSet>
</DescribeNetworkAclsResponse>
"""
get_all_network_acls_subnet_body = b"""
<DescribeNetworkAclsResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<networkAclSet>
<item>
<networkAclId>acl-5d659634</networkAclId>
<vpcId>vpc-5266953b</vpcId>
<default>false</default>
<entrySet>
<item>
<ruleNumber>110</ruleNumber>
<protocol>6</protocol>
<ruleAction>allow</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
<portRange>
<from>49152</from>
<to>65535</to>
</portRange>
</item>
</entrySet>
<associationSet>
<item>
<networkAclAssociationId>aclassoc-c26596ab</networkAclAssociationId>
<networkAclId>acl-5d659634</networkAclId>
<subnetId>subnet-f0669599</subnetId>
</item>
<item>
<networkAclAssociationId>aclassoc-5c659635</networkAclAssociationId>
<networkAclId>acl-5d659634</networkAclId>
<subnetId>subnet-ff669596</subnetId>
</item>
</associationSet>
<tagSet/>
</item>
</networkAclSet>
</DescribeNetworkAclsResponse>
"""
def default_body(self):
return b"""
<ReplaceNetworkAclAssociationResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<newAssociationId>aclassoc-17b85d7e</newAssociationId>
</ReplaceNetworkAclAssociationResponse>
"""
def test_associate_network_acl(self):
self.https_connection.getresponse.side_effect = [
self.create_response(status_code=200, body=self.get_all_network_acls_subnet_body),
self.create_response(status_code=200)
]
response = self.service_connection.associate_network_acl('acl-5fb85d36', 'subnet-ff669596')
# Note: Not testing proper call to get_all_network_acls!
self.assert_request_parameters({
'Action': 'ReplaceNetworkAclAssociation',
'NetworkAclId': 'acl-5fb85d36',
'AssociationId': 'aclassoc-5c659635'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, 'aclassoc-17b85d7e')
def test_disassociate_network_acl(self):
self.https_connection.getresponse.side_effect = [
self.create_response(status_code=200, body=self.get_all_network_acls_vpc_body),
self.create_response(status_code=200, body=self.get_all_network_acls_subnet_body),
self.create_response(status_code=200)
]
response = self.service_connection.disassociate_network_acl('subnet-ff669596',
'vpc-5266953b')
# Note: Not testing proper call to either call to get_all_network_acls!
self.assert_request_parameters({
'Action': 'ReplaceNetworkAclAssociation',
'NetworkAclId': 'acl-5566953c',
'AssociationId': 'aclassoc-5c659635'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, 'aclassoc-17b85d7e')
class TestCreateNetworkAcl(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<CreateNetworkAclResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<networkAcl>
<networkAclId>acl-5fb85d36</networkAclId>
<vpcId>vpc-11ad4878</vpcId>
<default>false</default>
<entrySet>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
<item>
<ruleNumber>32767</ruleNumber>
<protocol>all</protocol>
<ruleAction>deny</ruleAction>
<egress>false</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
</item>
</entrySet>
<associationSet/>
<tagSet/>
</networkAcl>
</CreateNetworkAclResponse>
"""
def test_create_network_acl(self):
self.set_http_response(status_code=200)
response = self.service_connection.create_network_acl('vpc-11ad4878')
self.assert_request_parameters({
'Action': 'CreateNetworkAcl',
'VpcId': 'vpc-11ad4878'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response.id, 'acl-5fb85d36')
class DeleteCreateNetworkAcl(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<DeleteNetworkAclResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<return>true</return>
</DeleteNetworkAclResponse>
"""
def test_delete_network_acl(self):
self.set_http_response(status_code=200)
response = self.service_connection.delete_network_acl('acl-2cb85d45')
self.assert_request_parameters({
'Action': 'DeleteNetworkAcl',
'NetworkAclId': 'acl-2cb85d45'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
class TestCreateNetworkAclEntry(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<CreateNetworkAclEntryResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<return>true</return>
</CreateNetworkAclEntryResponse>
"""
def test_create_network_acl(self):
self.set_http_response(status_code=200)
response = self.service_connection.create_network_acl_entry(
'acl-2cb85d45', 110, 'udp', 'allow', '0.0.0.0/0', egress=False,
port_range_from=53, port_range_to=53)
self.assert_request_parameters({
'Action': 'CreateNetworkAclEntry',
'NetworkAclId': 'acl-2cb85d45',
'RuleNumber': 110,
'Protocol': 'udp',
'RuleAction': 'allow',
'Egress': 'false',
'CidrBlock': '0.0.0.0/0',
'PortRange.From': 53,
'PortRange.To': 53},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
def test_create_network_acl_icmp(self):
self.set_http_response(status_code=200)
response = self.service_connection.create_network_acl_entry(
'acl-2cb85d45', 110, 'udp', 'allow', '0.0.0.0/0', egress='true',
icmp_code=-1, icmp_type=8)
self.assert_request_parameters({
'Action': 'CreateNetworkAclEntry',
'NetworkAclId': 'acl-2cb85d45',
'RuleNumber': 110,
'Protocol': 'udp',
'RuleAction': 'allow',
'Egress': 'true',
'CidrBlock': '0.0.0.0/0',
'Icmp.Code': -1,
'Icmp.Type': 8},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
class TestReplaceNetworkAclEntry(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<ReplaceNetworkAclEntryResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<return>true</return>
</ReplaceNetworkAclEntryResponse>
"""
def test_replace_network_acl(self):
self.set_http_response(status_code=200)
response = self.service_connection.replace_network_acl_entry(
'acl-2cb85d45', 110, 'tcp', 'deny', '0.0.0.0/0', egress=False,
port_range_from=139, port_range_to=139)
self.assert_request_parameters({
'Action': 'ReplaceNetworkAclEntry',
'NetworkAclId': 'acl-2cb85d45',
'RuleNumber': 110,
'Protocol': 'tcp',
'RuleAction': 'deny',
'Egress': 'false',
'CidrBlock': '0.0.0.0/0',
'PortRange.From': 139,
'PortRange.To': 139},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
def test_replace_network_acl_icmp(self):
self.set_http_response(status_code=200)
response = self.service_connection.replace_network_acl_entry(
'acl-2cb85d45', 110, 'tcp', 'deny', '0.0.0.0/0',
icmp_code=-1, icmp_type=8)
self.assert_request_parameters({
'Action': 'ReplaceNetworkAclEntry',
'NetworkAclId': 'acl-2cb85d45',
'RuleNumber': 110,
'Protocol': 'tcp',
'RuleAction': 'deny',
'CidrBlock': '0.0.0.0/0',
'Icmp.Code': -1,
'Icmp.Type': 8},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
class TestDeleteNetworkAclEntry(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<DeleteNetworkAclEntryResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<return>true</return>
</DeleteNetworkAclEntryResponse>
"""
def test_delete_network_acl(self):
self.set_http_response(status_code=200)
response = self.service_connection.delete_network_acl_entry('acl-2cb85d45', 100,
egress=False)
self.assert_request_parameters({
'Action': 'DeleteNetworkAclEntry',
'NetworkAclId': 'acl-2cb85d45',
'RuleNumber': 100,
'Egress': 'false'},
ignore_params_values=['AWSAccessKeyId', 'SignatureMethod',
'SignatureVersion', 'Timestamp',
'Version'])
self.assertEqual(response, True)
class TestGetNetworkAclAssociations(AWSMockServiceTestCase):
connection_class = VPCConnection
def default_body(self):
return b"""
<DescribeNetworkAclsResponse xmlns="http://ec2.amazonaws.com/doc/2013-10-01/">
<requestId>59dbff89-35bd-4eac-99ed-be587EXAMPLE</requestId>
<networkAclSet>
<item>
<networkAclId>acl-5d659634</networkAclId>
<vpcId>vpc-5266953b</vpcId>
<default>false</default>
<entrySet>
<item>
<ruleNumber>110</ruleNumber>
<protocol>6</protocol>
<ruleAction>allow</ruleAction>
<egress>true</egress>
<cidrBlock>0.0.0.0/0</cidrBlock>
<portRange>
<from>49152</from>
<to>65535</to>
</portRange>
</item>
</entrySet>
<associationSet>
<item>
<networkAclAssociationId>aclassoc-c26596ab</networkAclAssociationId>
<networkAclId>acl-5d659634</networkAclId>
<subnetId>subnet-f0669599</subnetId>
</item>
</associationSet>
<tagSet/>
</item>
</networkAclSet>
</DescribeNetworkAclsResponse>
"""
def test_get_network_acl_associations(self):
self.set_http_response(status_code=200)
api_response = self.service_connection.get_all_network_acls()
association = api_response[0].associations[0]
self.assertEqual(association.network_acl_id, 'acl-5d659634')
if __name__ == '__main__':
unittest.main()
| 40.14751
| 99
| 0.516534
| 1,645
| 20,957
| 6.441337
| 0.09848
| 0.018875
| 0.021234
| 0.018875
| 0.853247
| 0.828898
| 0.818139
| 0.814741
| 0.799075
| 0.799075
| 0
| 0.070058
| 0.370664
| 20,957
| 521
| 100
| 40.224568
| 0.733338
| 0.005917
| 0
| 0.817021
| 0
| 0
| 0.640182
| 0.243255
| 0
| 0
| 0
| 0
| 0.044681
| 1
| 0.040426
| false
| 0
| 0.006383
| 0.017021
| 0.102128
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9f314d3e606f886b5cd669c2653dfea3898c2b14
| 148
|
py
|
Python
|
django_plus/__init__.py
|
BE360/django-plus
|
4bd09e2636391fb325da2a5dc5ec87e9280a1318
|
[
"MIT"
] | 1
|
2019-09-25T06:48:14.000Z
|
2019-09-25T06:48:14.000Z
|
django_plus/__init__.py
|
BE360/django-plus
|
4bd09e2636391fb325da2a5dc5ec87e9280a1318
|
[
"MIT"
] | null | null | null |
django_plus/__init__.py
|
BE360/django-plus
|
4bd09e2636391fb325da2a5dc5ec87e9280a1318
|
[
"MIT"
] | 1
|
2019-04-22T11:49:16.000Z
|
2019-04-22T11:49:16.000Z
|
from django_plus import time
from django_plus import api
from django_plus import cookie
from django_plus import admin
from django_plus import cache
| 24.666667
| 30
| 0.864865
| 25
| 148
| 4.92
| 0.36
| 0.406504
| 0.569106
| 0.813008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135135
| 148
| 5
| 31
| 29.6
| 0.960938
| 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
|
9f55a8b56d590ea574571dd117d88427e159c2f6
| 187
|
py
|
Python
|
onshapepy/play.py
|
AguaClara/onshape
|
a7c99281492a6fef2a461460ae3dfccfeef97d16
|
[
"MIT"
] | 2
|
2018-08-24T00:52:12.000Z
|
2018-10-14T05:39:56.000Z
|
onshapepy/play.py
|
AguaClara/onshapepy
|
a7c99281492a6fef2a461460ae3dfccfeef97d16
|
[
"MIT"
] | 10
|
2018-08-03T13:24:21.000Z
|
2018-10-10T19:57:35.000Z
|
onshapepy/play.py
|
AguaClara/onshape
|
a7c99281492a6fef2a461460ae3dfccfeef97d16
|
[
"MIT"
] | 1
|
2018-09-30T13:38:54.000Z
|
2018-09-30T13:38:54.000Z
|
from onshapepy.part import Part
from onshapepy.assembly import Assembly
from onshapepy.document import Document
from onshapepy.core.client import Client
from onshapepy.core.units import u
| 37.4
| 40
| 0.860963
| 27
| 187
| 5.962963
| 0.37037
| 0.403727
| 0.21118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101604
| 187
| 5
| 41
| 37.4
| 0.958333
| 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
|
9f8ab6b380627c019a7433b4d49cba4e0402352e
| 1,553
|
py
|
Python
|
business_register/migrations/0059_auto_20210126_1141.py
|
OlexandrTopuzov/Data_converter
|
0ac2319ccaae790af35ab2202724c65d83d32ecc
|
[
"MIT"
] | null | null | null |
business_register/migrations/0059_auto_20210126_1141.py
|
OlexandrTopuzov/Data_converter
|
0ac2319ccaae790af35ab2202724c65d83d32ecc
|
[
"MIT"
] | null | null | null |
business_register/migrations/0059_auto_20210126_1141.py
|
OlexandrTopuzov/Data_converter
|
0ac2319ccaae790af35ab2202724c65d83d32ecc
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.0.7 on 2021-01-26 11:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('business_register', '0058_auto_20210122_0950'),
]
operations = [
migrations.AddField(
model_name='founder',
name='country',
field=models.CharField(blank=True, default='', max_length=100, null=True, verbose_name='держава'),
),
migrations.AddField(
model_name='founder',
name='info_additional',
field=models.CharField(max_length=2015, null=True, verbose_name='додаткові наявні дані'),
),
migrations.AddField(
model_name='founder',
name='info_beneficiary',
field=models.CharField(max_length=2015, null=True, verbose_name='наявні дані бенефіціара'),
),
migrations.AddField(
model_name='historicalfounder',
name='country',
field=models.CharField(blank=True, default='', max_length=100, null=True, verbose_name='держава'),
),
migrations.AddField(
model_name='historicalfounder',
name='info_additional',
field=models.CharField(max_length=2015, null=True, verbose_name='додаткові наявні дані'),
),
migrations.AddField(
model_name='historicalfounder',
name='info_beneficiary',
field=models.CharField(max_length=2015, null=True, verbose_name='наявні дані бенефіціара'),
),
]
| 35.295455
| 110
| 0.612363
| 156
| 1,553
| 5.929487
| 0.333333
| 0.116757
| 0.149189
| 0.175135
| 0.828108
| 0.828108
| 0.743784
| 0.691892
| 0.691892
| 0.691892
| 0
| 0.046778
| 0.270444
| 1,553
| 43
| 111
| 36.116279
| 0.769638
| 0.028976
| 0
| 0.810811
| 1
| 0
| 0.192563
| 0.015272
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.027027
| 0
| 0.108108
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 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
| 7
|
4ccda62fc78f9310881b7761835f50db06b8ef35
| 387,992
|
pyt
|
Python
|
eran/NNet/nnet/ACASXU_run2a_1_5_batch_2000_16bit.pyt
|
pauls658/ReluDiff-ICSE2020-Artifact
|
212854fe04f482183c239e5dfec70106a9a83df8
|
[
"Apache-2.0"
] | 7
|
2020-01-27T21:25:49.000Z
|
2022-01-07T04:37:37.000Z
|
eran/NNet/nnet/ACASXU_run2a_1_5_batch_2000_16bit.pyt
|
yqtianust/ReluDiff-ICSE2020-Artifact
|
149f6efe4799602db749faa576980c36921a07c7
|
[
"Apache-2.0"
] | 1
|
2022-01-25T17:41:54.000Z
|
2022-01-26T02:27:51.000Z
|
eran/NNet/nnet/ACASXU_run2a_1_5_batch_2000_16bit.pyt
|
yqtianust/ReluDiff-ICSE2020-Artifact
|
149f6efe4799602db749faa576980c36921a07c7
|
[
"Apache-2.0"
] | 3
|
2020-03-14T17:12:17.000Z
|
2022-03-16T09:50:46.000Z
|
ReLU
[[0.840894, -0.0285268, 0.0408581, -0.300944, -0.567237], [-0.532651, 0.00648152, 0.00778808, -0.154037, 0.105616], [-0.0289033, 0.00702812, 0.00323454, -0.000482995, 0.00185547], [0.158102, 0.810524, -0.0677775, 0.0335769, -0.0567938], [-0.0301389, -0.428714, 0.406677, -0.00427956, -0.180918], [-0.190172, -0.00773171, 0.00170847, 0.196668, 0.193922], [0.110925, -0.11905, -0.312655, 0.236553, 0.119626], [0.0361131, 0.307208, 0.408198, -0.160427, -0.0439205], [0.554269, 0.202873, 0.192203, 0.228589, 0.158361], [-0.0733649, 0.186347, -0.134595, 0.237718, -0.336064], [-0.69994, -0.0418811, -0.04691, 0.122553, 0.245293], [-0.717877, 0.018339, -0.00565185, 0.0230572, -0.334382], [0.000940336, -0.00606178, -0.0010273, 0.00103502, 0.0137943], [0.0636873, -0.852641, -0.0527007, 0.229844, -0.246025], [-0.399347, 0.268446, 0.0261157, 0.117431, 0.111249], [-0.0270186, -0.628441, 0.85092, 0.111354, -0.283554], [0.397872, 0.0369656, -0.0298722, 0.100223, -0.689239], [-0.156551, -0.048033, -0.00581511, 0.45928, -0.361357], [0.0143792, -0.0433366, -0.01723, -0.582334, -0.457718], [-1.07725, 0.0093448, -0.00278965, 0.0152406, 0.00285033], [-0.0368687, 0.172046, 0.0931752, -0.423765, -0.493802], [-0.13226, -0.00960557, 0.160069, -0.386669, 0.463179], [0.000920622, 0.0143213, 0.00988242, 0.27281, -0.20463], [0.0321029, 0.725829, -0.318453, 0.226246, -0.168149], [0.665777, 0.0567571, 0.0803373, -0.0560859, -0.101151], [-0.0187577, 0.14885, -0.626569, 0.137176, -0.289726], [0.127011, 1.44818, -0.0416684, 0.0210088, -0.101178], [0.0271855, 0.818542, -0.905424, 0.0929532, 0.103022], [0.0326604, 0.728594, -0.740161, 0.0413413, 0.0955012], [0.364546, -0.000998042, 0.00409634, 0.349192, -0.220484], [0.3596, -0.0311559, -0.0841839, 0.114925, -0.188629], [0.607897, 0.00215222, 0.00103931, 0.0692606, -0.00471573], [0.00232127, -0.817434, 0.831366, 0.0173234, 0.12202], [0.0568452, -0.317741, -0.391407, -0.1691, 0.165663], [0.00222433, 0.0007571, 0.00202886, 0.187949, 0.000263382], [0.0219694, -0.62433, 0.625713, 0.135543, 0.14454], [-0.14231, 0.0716455, 0.137793, 0.254823, 0.0550259], [0.688393, 0.00219402, -0.000272566, 0.0214667, 0.00880397], [0.0557383, 0.00465574, -0.00106902, 0.00900817, -0.862107], [-0.0566163, -0.0675157, -0.141684, -0.732515, -0.167412], [0.0744879, -0.876676, 0.831231, 0.112904, 0.0306133], [-0.00830337, 0.304004, 0.276877, -0.16058, 0.140838], [-0.00486176, -0.00755977, 0.0104729, 0.00379836, 0.00447246], [-0.121763, 0.855558, 0.999222, 0.474358, -0.0113848], [-0.0507097, -0.0695036, 0.181924, 0.145477, -0.217801], [0.221036, 0.04784, 0.217304, 0.474807, -0.67852], [-0.0793836, -0.036216, 1.53153, 0.0297833, -0.00294009], [-0.135985, -0.0261896, -1.43573, -0.111365, 0.199979], [0.0138328, -1.23982, 0.016968, 0.0015419, 0.000578849], [-0.964068, 0.0448371, 0.0365949, 0.0351554, -0.0321845], [0.841, -0.02853, 0.04086, -0.301, -0.5674], [-0.5327, 0.00648, 0.00779, -0.154, 0.1056], [-0.0289, 0.007027, 0.003235, -0.000483, 0.001856], [0.1581, 0.8105, -0.06775, 0.03357, -0.0568], [-0.03014, -0.4287, 0.4067, -0.00428, -0.1809], [-0.1902, -0.007732, 0.001708, 0.1967, 0.194], [0.1109, -0.1191, -0.3127, 0.2366, 0.1196], [0.0361, 0.3071, 0.4082, -0.1604, -0.0439], [0.554, 0.2029, 0.1923, 0.2286, 0.1583], [-0.07336, 0.1864, -0.1346, 0.2377, -0.3362], [-0.6997, -0.04187, -0.0469, 0.12256, 0.2452], [-0.718, 0.01834, -0.005653, 0.02306, -0.3345], [0.0009403, -0.00606, -0.001027, 0.001035, 0.013794], [0.06366, -0.8525, -0.0527, 0.2299, -0.246], [-0.3994, 0.2686, 0.02612, 0.11743, 0.11127], [-0.02702, -0.6284, 0.851, 0.1113, -0.2834], [0.398, 0.03696, -0.02988, 0.1002, -0.6895], [-0.1565, -0.04803, -0.005814, 0.4592, -0.3613], [0.01438, -0.04333, -0.01723, -0.5825, -0.4578], [-1.077, 0.009346, -0.00279, 0.01524, 0.00285], [-0.03687, 0.172, 0.0932, -0.4238, -0.494], [-0.1322, -0.009605, 0.16, -0.3867, 0.4631], [0.000921, 0.01432, 0.00988, 0.2727, -0.2046], [0.0321, 0.7256, -0.3184, 0.2262, -0.1681], [0.666, 0.05676, 0.0803, -0.0561, -0.10114], [-0.01875, 0.1488, -0.6265, 0.1372, -0.2898], [0.127, 1.448, -0.04166, 0.02101, -0.1012], [0.02719, 0.8184, -0.9053, 0.09296, 0.103], [0.03265, 0.7285, -0.74, 0.04135, 0.0955], [0.3645, -0.0009985, 0.004097, 0.349, -0.2205], [0.3596, -0.03116, -0.08417, 0.1149, -0.1886], [0.608, 0.002151, 0.0010395, 0.0693, -0.004715], [0.002321, -0.8174, 0.8315, 0.01732, 0.122], [0.05685, -0.3176, -0.3914, -0.1691, 0.1656], [0.002224, 0.000757, 0.00203, 0.188, 0.0002635], [0.02197, -0.6245, 0.6255, 0.1355, 0.1445], [-0.1423, 0.07166, 0.1378, 0.255, 0.05502], [0.6885, 0.002193, -0.0002725, 0.02147, 0.008804], [0.05573, 0.004654, -0.001069, 0.00901, -0.8623], [-0.0566, -0.0675, -0.1417, -0.7324, -0.1674], [0.07446, -0.8765, 0.831, 0.1129, 0.03061], [-0.0083, 0.304, 0.2769, -0.1605, 0.1409], [-0.00486, -0.00756, 0.010475, 0.003798, 0.00447], [-0.12177, 0.8555, 0.999, 0.4744, -0.01138], [-0.05072, -0.0695, 0.1819, 0.1455, -0.2178], [0.2211, 0.04785, 0.2173, 0.4749, -0.6787], [-0.0794, -0.03622, 1.531, 0.02979, -0.00294], [-0.136, -0.02618, -1.436, -0.1114, 0.2], [0.01383, -1.24, 0.01697, 0.001542, 0.000579], [-0.964, 0.04483, 0.0366, 0.03516, -0.0322]]
[0.0271393, -0.0579071, -0.0178582, 0.0906859, -0.00816655, 0.103588, -0.0221096, 0.0356573, -0.0943082, 0.0140443, 0.0127148, -0.305819, -0.0149865, 0.0105222, -0.0232075, -0.179591, -0.102724, 0.137847, -0.397034, -0.153956, -0.407327, 0.00417696, 0.021453, -0.111223, 0.0256584, 0.102262, 0.0371568, -0.239761, -0.278136, 0.181376, 0.0507431, 0.231702, -0.323989, 0.0349969, 0.0915077, -0.10922, -0.0257337, 0.239476, -0.308112, -0.280652, -0.26021, 0.0247523, -0.0149422, -0.134983, 0.0196171, 0.107494, 0.0361257, 0.01827, -0.00506965, -0.222165, 0.02715, -0.0579, -0.01785, 0.0907, -0.00816, 0.1036, -0.02211, 0.03564, -0.0943, 0.014046, 0.01272, -0.306, -0.014984, 0.01052, -0.02321, -0.1796, -0.1027, 0.1378, -0.397, -0.1539, -0.4072, 0.004177, 0.02145, -0.1112, 0.02567, 0.10223, 0.03717, -0.2397, -0.278, 0.1814, 0.05075, 0.2317, -0.324, 0.035, 0.0915, -0.1092, -0.02573, 0.2395, -0.308, -0.2808, -0.2603, 0.02475, -0.014946, -0.135, 0.01962, 0.1075, 0.03613, 0.01826, -0.00507, -0.2222]
ReLU
[[-0.207499, -0.440119, 0.028758, -0.0229274, -0.472219, -0.272114, -0.324253, 0.184883, 0.113217, -0.471859, 0.32236, -0.145309, 0.0408185, -1.0041, 0.0782917, -0.479839, -0.629267, -0.204125, -0.615216, -0.155628, -0.602754, 0.509751, 2.0782, 0.248009, 0.21211, -0.296611, -0.0679943, -0.248182, 0.789789, 0.0496568, 0.23479, 0.151541, -1.86477, -0.275316, -0.621657, -0.885417, 0.100326, 0.315957, -0.453657, 0.57988, -1.41739, 0.0532684, -0.0154434, -0.517967, -0.426534, -0.137321, 0.0120705, 0.0955173, -0.0403638, -0.0348667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.276487, 0.0811228, 0.0490329, 0.0220381, 0.127381, -0.173718, 0.215721, 0.0683361, 0.0516872, -0.190103, 0.197724, -0.358921, -0.0335461, 0.51043, -0.0612468, 0.0698897, -0.184756, -0.176861, 0.501654, -0.176315, -0.177755, -0.667951, 0.104785, 0.20392, 0.183802, 0.203608, 0.144325, 0.115432, -0.251831, -0.214405, -0.781398, 0.344799, -0.466637, -0.0907994, 0.12472, -0.371931, 0.116975, 0.492301, -0.555676, -0.231415, -0.283867, 0.00506885, 0.0547152, -0.0310988, 0.195351, -0.0836142, 0.0567756, -0.383764, 0.134879, 0.250775, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.208075, 0.176063, -0.0542639, -0.116194, -0.154161, -0.428295, -0.127181, -0.17507, 0.111158, 0.115678, 0.0859381, 0.00403149, -0.0037282, -0.175713, 0.0986449, -0.160991, -0.10258, -0.0327094, 0.5089, -0.465238, 0.283861, -0.169327, 0.611011, -0.140407, -0.332011, 0.570201, 0.0270263, 0.0702535, 0.524911, -0.37357, 0.0929442, -0.0977252, 0.00180145, 0.317537, 0.286956, -0.394617, -0.260598, 0.255433, 0.0193207, -0.390127, 0.537691, -0.217447, -0.0361272, 0.599515, 0.212046, -0.0117248, 0.139937, -0.277601, 0.114281, -0.318697, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.134389, 0.198995, -0.0244837, 0.304966, 0.0242174, 0.60397, 0.962513, -0.21042, 0.430224, 0.164478, 0.0360132, 0.196261, -0.0219415, -0.0466115, 0.417315, -0.465523, 0.0410774, 0.111366, 0.015924, -0.186115, -0.919877, -0.590924, 0.184041, 0.204393, -0.245259, -0.1597, -0.187214, 0.0931728, -0.467116, 0.373415, -0.323855, 0.0150295, -0.0763669, 0.0788826, 0.460317, 0.323972, 0.0371274, -0.0351248, 0.631277, -0.134052, 0.38272, 0.617423, -0.0259542, -0.00485182, 0.15323, 0.217323, 0.0916359, -0.0683591, 0.0515659, -0.486012, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0309438, 0.441277, 0.0165794, 0.0403719, 0.192028, -0.222455, -1.25823, -0.0217987, -0.398067, -0.0288556, -0.158843, -3.47821, 0.0225188, 0.277607, -0.0822776, 0.0160866, 0.332228, 0.176575, -0.564425, -0.624284, -0.84122, -0.202979, 0.137342, 0.260942, -0.189563, 0.0999253, 0.359923, 1.38813, 1.50308, 0.498677, 0.408703, 0.0382871, 1.77712, -0.134928, -0.113188, 0.0574799, -0.0684193, -0.00977847, -1.21028, 0.179996, 1.13799, -0.121231, -0.00231221, -0.727, -0.16584, 0.199044, 0.361632, 0.097816, 0.184752, -0.903738, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.137058, 0.259543, -0.0373838, -0.109177, -0.249113, 0.114663, 0.0919497, 0.192533, -0.162823, 0.255886, 0.553057, -0.0263297, 0.0162023, 0.233874, 0.181147, -0.195419, -0.158746, 0.133564, -0.757006, 0.127567, 0.163694, -0.281473, -0.559847, 0.00767189, -0.210663, -0.0144112, -0.0979951, 0.107812, 0.246006, -0.0389856, 0.0507451, 0.216893, 0.0142639, -0.237052, 0.482558, -0.0312428, -0.164451, 0.227285, 0.0544392, -0.155012, -0.217553, -0.0760025, 0.0510351, 0.162223, -0.246084, 0.124912, 0.0884303, 0.033342, 0.142795, -0.0679335, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.617586, 0.0310839, -0.0434966, 0.66991, 0.873183, -0.0904726, 0.323754, -0.30979, 0.575406, 0.202262, 0.315513, 0.0369103, -0.00916779, 0.0889005, 0.631615, 0.101017, 0.391242, -0.0907076, -0.407267, 0.335124, -0.429254, -0.389489, -0.238146, -0.710365, 0.239817, 0.323691, 0.24983, 0.0957984, 0.220379, -0.0581159, -0.37582, -0.0341274, 1.024, 0.141549, -0.104932, 0.255683, -0.267592, -0.0780064, -2.26846, 0.041147, 0.797976, -0.296996, -0.00815524, 0.507261, 0.624433, -0.373279, 0.802113, 0.624162, 0.0101078, -0.398025, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.394098, -0.229108, 0.0264042, 0.238085, 0.237244, -0.239153, 0.845584, -0.10328, -0.125637, 0.115769, -0.807852, 0.442763, -0.0432124, 0.490878, 0.309548, -0.361558, 0.229919, 0.372498, 1.44738, 0.36351, -0.395626, 0.226707, -2.23736, -0.433438, 0.203127, 0.621217, -0.0982638, 0.177071, -0.130329, -0.578352, 0.0431274, -0.00256561, 0.0098732, -0.213284, -0.426878, -0.198992, -0.17245, 0.07359, 0.491403, 0.190629, 0.050935, 0.277551, -0.0215088, 0.208844, 0.30909, -0.0234502, 0.19683, -0.0777388, 0.178418, -0.306814, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0808833, -0.109023, -0.0111417, 0.0735127, 0.0398467, -0.232046, -1.00086, -0.0742525, -0.0232185, -0.148767, 0.179136, 0.319262, 0.0355848, -0.147473, -0.220228, -0.187638, 0.0336196, -0.460116, -0.67976, 0.0303923, -0.216601, 0.208176, -0.295702, -0.305344, -0.359659, -0.111867, -0.102885, -0.368113, -0.148229, -0.480682, 0.198256, 0.136231, -0.250915, 0.0221851, -0.543707, -0.837442, 0.317048, 0.198634, 0.528259, 0.28807, 0.145785, -0.0995484, -0.0424995, 0.0794728, -0.17211, 0.0351831, -0.0119178, -0.123844, -0.321772, -0.553352, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0359885, -0.221562, 0.00988076, 0.0980579, -0.0159982, -0.0922206, -0.073037, -0.120386, 0.0151148, 0.389953, 0.0698031, 0.582124, -0.0149839, 0.244875, -0.235516, 0.479166, 0.156061, 0.48869, 0.297999, -0.0264582, -0.790679, -0.489069, -0.0266245, 0.507322, 0.153619, 0.487686, 0.246654, 1.74827, 2.07856, 0.111318, 0.0224711, -0.130937, 1.72975, -0.324921, 0.213747, 0.40068, -0.13286, -0.251968, 0.288138, -0.384797, 1.28862, -0.193252, 0.0314989, -0.386013, 0.194421, 0.110021, 0.224059, -0.133398, 0.289747, 0.0696336, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0100127, -0.0200584, 0.0374124, 0.00142069, -0.00141261, -0.00814931, 0.0218538, -0.00275551, 0.0151789, 0.0206079, -0.0185658, -0.0144829, -0.0545965, -0.0242985, -0.0577363, 0.020625, -0.0169686, -0.0490994, -0.0523363, 0.0175027, 0.00668399, 0.0258453, -0.0143675, -0.0467473, -0.0572687, -0.0179089, 0.0326316, 0.0281578, -0.0246212, -0.0527407, -0.00936334, -0.0600987, -5.49634e-05, 0.0130765, -0.0440414, -0.0328134, 0.00930023, -0.0132019, -0.0346528, -0.02123, -0.00812502, 0.00110967, 0.0355025, -0.0444662, -0.0349391, 0.0155221, 0.0226646, -0.00972878, -0.0547616, 0.0265496, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.10388, 0.614357, -0.0420529, 0.0776263, 1.5828, 0.398814, 0.425765, -0.206875, 0.109011, -0.0991587, -0.241007, -0.0505645, -0.0234786, -0.218578, 0.197638, 1.6174, 0.0698823, -0.064038, -0.134493, 0.3792, -0.835411, -0.431107, -0.158653, -0.0400294, -0.0674789, 0.80424, 0.0456373, 0.12226, -0.60884, 0.262901, -0.0470618, 0.0200279, 1.26324, -0.34075, 0.787421, -0.208434, 0.136419, -0.0492009, 0.0409079, 0.247859, 1.31074, -0.0315645, 0.0205686, -0.204185, 0.0508661, -0.18584, -1.37884, 1.02679, -2.4217, 0.219031, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.150948, 0.128866, -0.0446339, 0.136748, -3.50899, 0.860249, -0.076807, 0.504179, -0.10751, 0.258261, -0.252397, 0.581361, -0.0546704, 0.00335108, -1.01774, -0.208361, 1.26282, 0.264316, -0.162971, -0.4208, -0.587231, 0.134009, -0.463236, -0.109133, -0.30267, -0.131559, -0.262906, -0.984001, -0.0473611, 0.656542, 0.181631, 0.656942, -1.37275, 0.311691, 0.860012, -3.62662, 0.12841, 0.631623, -2.17885, 0.337974, -8.97139, 0.238892, -0.0534227, 0.287248, -1.65559, -1.18704, -3.99598, -0.393574, -2.8559, -0.615618, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0752138, -0.0729334, 0.0169006, 0.462743, 0.68673, -0.624384, 0.481269, 0.346204, 0.696469, 0.509021, 0.0643953, -1.52107, 0.0146837, 0.0726935, -0.287755, 0.763686, -0.0815043, -0.262673, 0.593198, 0.130058, -0.196966, -0.0409, 1.34726, 0.776884, 0.38592, 0.37122, 0.509452, 0.13867, -1.03417, -1.0366, 0.42596, -0.325064, -0.919604, 0.68342, -0.0899262, 0.833508, -0.174631, -0.269388, -2.50646, 0.220437, -0.370536, -0.125812, 0.00320196, -0.442467, -0.334094, -0.587405, 0.543432, 0.298988, 0.276888, -0.459654, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0491152, -0.00192741, 0.0421646, -0.0484569, 0.0386034, -0.0328017, -0.0129902, 0.0426638, -0.0406761, 0.0174973, -0.0329796, -0.0216183, -0.0448385, 4.83782e-05, -0.00330173, -0.0421672, -0.034602, -0.00823385, 0.0100209, -0.0446996, 0.0116453, -0.0430411, -0.0230514, -0.00268789, -0.0195858, -0.0342449, -0.0395071, 0.0160534, 0.026549, -0.0374872, -0.0161205, -0.0399785, 0.0339442, -0.0261369, -0.0214833, -0.0491196, -0.0360111, -0.00477831, 0.0273903, 0.0121874, 0.0353096, 0.00482827, 0.0064181, 0.0194531, -0.0263846, -0.0344785, -0.0120121, 0.0105584, 0.0293417, -0.0492152, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0842461, -0.000959908, 0.0295925, 0.346128, 0.234754, 0.533686, -0.217181, 0.85633, 0.27464, 0.486734, 0.482763, -0.165386, 0.0290267, 0.571755, -0.0646744, 0.503477, -0.537476, 0.00353759, 0.493646, 0.248824, -0.157569, -0.246528, -1.21552, 0.542529, -0.652617, 0.0894028, 0.417033, -0.686751, 0.37456, -1.41088, 0.561698, 0.0702097, 0.880058, 0.372295, 0.834908, 0.178361, -0.305859, 0.0370323, -0.81328, -0.54539, 0.267742, 0.583391, -0.00246851, 0.601864, 0.587666, -0.357641, -1.0658, -0.256178, 0.685789, -0.324043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0786287, 0.437197, -0.030813, 0.223012, -0.598502, 0.215866, -0.0566842, -0.0117237, -0.149797, -0.109387, -0.184217, -0.696735, -0.0184175, -0.706611, 0.0199568, -0.731835, 0.0233894, -0.00596846, 0.380413, -0.324038, 0.313237, 0.154479, -0.217817, -0.549629, -0.265886, -0.518106, 0.0443815, -1.12016, -1.36991, 0.00944176, -0.0588252, 0.283644, -1.73327, 0.482067, 0.178078, -0.434729, 0.0960281, 0.344324, -0.554859, 0.233597, -1.28011, 0.0626712, 0.0370015, 0.54809, 0.00354896, 0.0238906, 0.278542, -0.704853, -0.960867, -0.0420497, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0594086, -0.193664, 0.0289627, 0.0736874, 0.0786189, -0.186992, 0.0990337, 0.0130366, 0.127448, 0.0749898, 0.218467, -0.350655, -0.0232872, 0.0427047, -0.0196893, 0.0419522, 0.137201, 0.0255077, -0.0196549, -1.14859, -0.162606, 0.0586266, 0.0242202, -0.00731935, -0.810241, 0.0705917, 0.10986, 0.0628445, 0.168582, 0.046568, -0.0603252, 0.511811, 0.133404, -0.201937, -0.153604, 0.0224541, -0.0738389, 1.2763, 0.066219, 0.0194443, -0.0200541, -0.054959, 0.0250502, -0.122359, 0.203007, -0.0868539, 0.125227, 0.0241104, 0.0328603, -1.15079, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0162854, 0.00758979, -0.0107495, -0.0147487, -0.0173348, -0.0558942, 0.00615381, -0.03548, 0.0179677, -0.0437717, -0.00314613, -0.0166271, 0.0300565, -0.0167069, -0.021622, 0.00944108, 0.00131148, -0.0499788, -0.0486846, -0.020667, 0.0409737, -0.0395153, 0.0111445, 0.00369712, -0.0301729, -0.040013, 0.0252153, 0.0271682, -0.0450802, -0.0494328, 0.0282793, 0.017013, 0.0101633, -0.00129344, -0.0473179, 0.000129403, -0.03547, -0.0541487, 0.0423301, -0.0452736, 0.0323849, -0.0155591, -0.0341638, 0.0212396, -0.00812883, -0.0162197, 0.00631249, 0.0101693, -0.0549673, -0.00631768, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0767204, 0.0544779, 0.011186, -0.886816, -0.0327649, 0.090262, 0.0412836, 0.0166934, -1.26942, -0.137341, 0.168122, 0.0710122, -0.0347003, -0.0550397, 0.30164, -0.0769042, 0.0398909, -0.0923148, 0.0749265, 0.186512, 0.0463649, 0.111711, -0.0552787, 0.822408, -0.13527, 0.125999, -0.168259, -0.0154719, -0.464252, -0.215904, 0.0148174, -0.147767, -0.169886, -0.108431, -0.0189824, -0.0193617, -0.0117524, -0.138083, -0.00562798, -0.0673233, -0.118339, -0.0646253, 0.0174698, 0.110819, -0.0378285, -0.264588, 0.136689, -0.42658, 0.0194809, 0.193329, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.436654, -0.437416, 0.0397453, -0.037877, -0.103632, -0.127539, -0.326128, 0.289393, 0.0945701, 0.142569, -0.454044, -1.51927, 0.029375, 0.13773, 0.0172301, -0.00509248, 1.34979, -0.0929505, -0.359396, -0.316806, 0.649426, -0.277147, 0.699442, 0.998566, -0.274527, 0.0871562, -0.10116, 0.507985, -0.196222, -0.185602, -0.00954947, 0.0165965, 1.14341, 0.506246, -0.437534, 0.255059, -0.00407598, -0.111347, 2.60846, 0.0597564, 0.236256, -0.00321812, -0.0226805, -0.129294, 0.34199, 1.00828, -0.607404, 0.160988, 0.133888, -0.235906, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.106145, 0.527701, -0.0094225, -0.62493, -0.495308, 0.0244627, 0.33082, 0.262376, -0.360037, 0.413804, -0.185202, -0.721388, 0.0135931, -0.0407867, 1.34351, -0.919342, 1.26404, -0.501541, -0.0838778, -0.777127, 0.2631, 0.135571, -1.19399, -0.736002, 0.323991, 0.248807, -0.985578, 0.157943, -1.20605, -0.0707375, 0.324641, 0.0925344, -2.06639, 0.406603, -0.229731, -0.533639, -0.117655, 0.0524453, 0.545931, 0.534441, -1.24046, 0.44607, -0.0365755, 1.13983, -0.723865, 0.00456045, -0.367462, -0.00307826, -0.0632386, -0.73073, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0359056, 0.0378263, -0.0394832, -0.0367281, 0.00327508, -0.0399022, -0.0456659, -0.0506602, -0.0295132, -0.00687359, 0.0141962, -0.0193254, 0.0319337, -0.0500998, -0.052042, -0.00301363, 0.0258941, -0.0474461, -0.00919012, -0.0160626, -0.0210492, -0.0189219, -0.00445005, -0.00374552, -0.0104358, -0.0338504, 0.0414513, 0.026258, -0.00579586, 0.000116811, -0.0246942, -0.0238842, -0.00156275, -0.0512283, -0.0422103, 0.00722589, -0.00796702, -0.0177602, 0.0216389, 0.0418404, -0.0104551, -0.0080101, 0.0398556, 0.0113644, -0.0145318, 0.02261, 0.00289943, -0.0424767, -0.0497484, -0.0222106, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.333133, -0.407101, -0.00916904, 0.279377, -0.229065, -0.215324, 0.264791, -0.732789, 0.148216, 0.560629, -0.512984, -1.34548, -0.0027228, -0.467463, 0.348672, 0.148344, 0.163993, -0.0487723, 0.180486, -0.262173, 0.558746, -0.102347, -0.71173, 0.191909, -0.8161, 0.173316, 0.775453, 0.281864, 0.608995, -0.295102, 0.0699083, -0.0060008, 0.343444, 0.338666, -0.682202, 0.117358, 0.171154, 0.0686915, 0.735557, 0.185017, 0.980896, -0.0524669, 0.0479941, 0.460929, 0.0510103, 0.490112, -0.142868, 0.272061, 0.480835, 0.248542, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.240949, 0.432411, 0.00979632, -0.579395, -0.316147, -2.03871, 0.552884, 0.423824, 0.188949, 0.338305, -0.73449, 0.214295, -0.00777844, -0.603404, 1.11002, -0.237402, 0.558443, -0.0820408, 0.0742188, 0.304756, 0.446855, -0.512783, 0.774288, 0.779039, -1.06964, -0.225522, -0.841528, -0.128417, -0.0525496, -0.000986124, 0.725961, -0.338733, 1.29555, -0.233255, -0.706661, 0.413747, -0.0492009, -0.279756, 0.0720857, 0.337381, 0.194009, -0.37225, -0.00712496, 0.275474, -0.30296, 0.404433, 0.292127, -0.260756, 0.0570661, 0.13237, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.086833, 0.0554986, 0.00307396, 0.338412, 0.506876, -3.79691, -1.56902, 0.000828174, -0.797757, 0.522519, -0.308435, 1.98428, 0.00165726, 0.206097, -0.280773, 0.441473, 0.738718, 0.197877, -0.0285997, 0.181937, 0.272405, -0.0765491, -0.390188, 0.20415, -1.30881, 0.274054, 0.29271, 0.668744, -0.117368, 0.0584411, 0.262028, -0.197973, -0.349955, -0.566674, -0.916364, 0.683187, 1.2724, -0.0977477, 0.557606, 0.329523, -0.314827, -0.0895441, -0.0214152, -0.113812, -0.19507, -0.507991, 0.481537, 0.347172, 0.378777, 0.478961, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.00942168, -0.0132298, 0.0341243, 0.0131427, -0.0428167, -0.0362813, 0.019285, -0.0489426, -0.0425796, -0.0117031, 0.00100965, -0.00798046, -0.00370587, -0.0321533, -0.0283969, 0.0081425, -0.0416511, 0.0347134, 0.0127041, -0.0519183, -0.0337984, 0.0123642, -0.0218932, 0.000790994, -0.0209492, 0.0390954, 0.032988, -0.045215, 0.044235, -0.0628332, -0.0312453, -0.0635868, 0.0461751, -0.0397259, -0.0224954, -0.0145839, -0.0536784, -0.0264067, -0.00549506, -0.0209322, 0.0198546, -0.00027461, 0.0148809, -0.0610565, -0.0190949, -0.0412707, -0.0085604, -0.0355248, 0.0228634, 0.00340905, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0746627, 0.0889001, -0.000464022, -0.0395296, 0.413225, -0.414439, -0.154075, -0.0720318, 0.126962, 0.0263557, 0.179207, 0.114141, -0.035939, -0.427146, 0.189835, -0.34623, -0.0626316, 0.130517, -0.95139, -0.0976329, -1.93284, 0.156969, 1.3233, -0.436227, -0.207871, 0.214632, -0.539858, 0.0520858, -0.247897, -0.255222, -0.183973, 0.144483, -0.47914, -0.644766, 0.407948, 0.777783, -0.0213771, 0.214727, -0.364698, -0.236648, -0.327667, -0.0307527, -0.00748217, -0.374755, 0.28948, -0.089809, 0.416578, 0.0342057, -0.945796, -1.02045, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.289993, 0.0598718, -0.000804682, -0.0809806, -0.258644, 0.363462, -0.504858, 0.0642942, 0.0473624, 0.404821, -1.01489, -0.501462, -0.0084512, -0.25826, -0.133685, -0.324599, 0.00437523, -0.268432, -1.31472, -0.11335, -0.558558, -0.0140594, -0.430336, -0.0063182, -0.262322, 0.179484, 0.0523495, -0.273258, -0.532983, -0.2299, -0.294485, -0.0192176, -0.524403, 0.2062, -0.108644, 0.0193644, 0.251503, 0.130767, -1.30595, 0.201955, 0.0850814, -0.000296188, -0.0156236, -0.748435, 0.102828, 0.399414, 0.336565, 0.0111359, -0.430377, 0.456491, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0519139, -0.0254046, -0.000734461, -0.0335802, -0.0191995, -0.0427104, -0.0250337, -0.0419053, -0.0240633, -0.0399728, -0.026108, 0.00409066, 0.0177526, -0.0312365, -0.0268511, -0.0200801, -0.000213935, -0.00924334, -0.0275385, 0.0159476, 0.0134033, 0.0247516, -0.028237, 0.035506, -0.0184356, -0.0395281, -0.0474798, -0.00573874, -0.049889, -0.00320364, -0.0116924, 0.00896868, -0.00147019, -0.0601734, -0.0595482, 0.0126214, -0.0227407, -0.0412737, 0.0211313, 0.0245142, 0.032501, 0.0126182, 0.0119619, 0.0301661, -0.0199353, -0.0350557, 0.0325211, -0.0307967, -0.0045651, 0.0328594, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.131355, 0.383059, -0.0393635, 0.580801, 0.612441, -0.0734289, 0.149604, -0.831788, 0.0867445, 0.829542, 0.21985, -1.19495, -0.0183644, 0.0920893, -0.354088, 0.606068, 0.11968, 0.403984, -0.151276, 0.0301651, 0.836082, 0.884669, 0.428235, -0.0547838, 0.0612798, 0.105053, 0.43186, -0.680434, -1.1492, -0.626029, -0.25957, 0.18323, 0.648646, -0.0901207, -0.383089, -0.274363, 0.0227794, 0.283168, -0.282499, -0.0622856, -0.0832835, -0.815745, 0.0207983, -0.451007, -0.272798, -0.361745, 0.0868965, -0.0697682, 0.458762, -0.177383, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0783968, 0.203794, 0.0111242, 0.272559, -0.570037, 1.14296, 1.26529, -0.626839, 0.733775, -0.0478152, -0.0544767, -0.0387931, 0.025794, -0.806619, 0.204952, -0.437378, -0.273423, -0.104182, -0.0242317, -0.624315, -0.0593809, 0.285339, 1.0786, -1.04218, -0.0558656, -1.34437, 0.0105063, 0.899101, -0.0782875, -0.946485, -0.197701, 0.521065, -0.245153, 0.0181276, 0.668598, 0.463451, 0.604764, 0.363994, -0.0778249, 0.610341, 1.09723, -0.0270203, 0.0367557, 0.125665, -0.794125, -1.21652, -0.154538, -0.0882391, -0.00628687, -0.0497911, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0225716, 0.328631, 0.0304366, -0.0074826, 0.101106, 0.302657, 0.122991, 0.0245652, 0.206296, 0.0523684, 0.229292, 0.00510743, 0.0552664, -0.0483935, 0.00259393, 0.0247953, -0.120823, 0.0862568, 0.0760439, 0.920325, -0.0532896, -0.0391432, 0.209485, -0.0970833, -0.220243, 0.100525, 0.0516253, 0.0141813, 0.117554, -0.15184, 0.177948, -2.52488, 0.0287954, -0.186973, 0.580476, 0.0727247, 0.0193051, -4.28248, 0.0678011, 0.0401197, 0.0037833, -0.13895, -0.00337862, -0.0273082, 0.196062, -0.055421, 0.010127, 0.0199852, 0.0602704, 0.962654, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.281169, 0.160059, -0.0279495, 1.49283, -0.101869, 0.0275239, -0.0858388, 0.151688, 0.20325, -0.196826, 0.25861, 0.228719, 0.00245085, -0.299143, 0.0891429, -0.153236, 0.36074, -0.23006, -0.316122, 0.287856, -0.897122, 0.258637, 0.371252, 0.08362, 0.335375, -0.228848, 1.41588, -0.15671, -0.403825, -0.18287, 0.525261, -0.160155, -0.933793, -0.125525, 0.364482, -0.0299733, 0.075726, -0.235981, 0.183461, -0.156076, -0.066622, 0.19623, 0.0609618, 0.228685, 0.0674315, -0.0974367, 0.0105657, -0.188698, -0.064296, -0.0112519, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.257293, 0.0252168, 0.016624, 0.01006, -0.0483574, 0.122415, 0.0642748, 0.0133274, 0.0914807, -0.495559, 0.1394, 0.0763097, 0.0174596, -0.559274, 0.162379, -0.118788, -0.062218, -0.29338, 0.0528583, 0.0410356, -0.263626, 0.076126, -0.652035, -0.14085, -0.0424634, -0.296125, -0.0159085, 0.108349, 0.0491361, -0.0516341, -0.228688, -0.0907985, 0.108161, -0.20918, 0.0132929, 0.0697853, 0.302559, -0.103533, -0.0702534, -0.260483, 0.079098, 0.0550467, -0.00485202, 0.241848, -0.120134, -0.421986, 0.0392693, -0.0280991, -0.0842376, 0.118601, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.191478, -0.16836, -0.0371922, 0.0993495, 0.389918, -0.673491, -0.34516, -0.289234, -0.0182462, 0.092159, -0.453792, 0.980872, 0.0453787, -0.0563428, 0.204477, 0.219376, 0.808401, -0.161197, -1.1343, -0.731978, -0.236638, -0.194779, -0.338902, 0.510889, -0.584049, 0.688767, -0.00852235, -0.520534, -0.574326, -0.0168248, 0.11633, 0.733549, -1.29571, -0.0610018, 0.115931, 0.86201, 0.229283, 0.771809, -0.757085, -0.0247177, 0.153433, -0.08692, 0.0441514, 0.351111, 0.519917, 0.379996, -0.0674702, 0.0332248, 0.136779, 0.312173, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.240688, 0.0855688, 0.0193938, -0.210626, 0.263511, -0.519819, 0.699177, 0.592904, -0.402475, 0.0161322, -0.0968308, 1.03715, 0.00895404, -2.35169, 0.242819, -0.788641, 0.0792242, -0.179837, -0.855756, -0.156373, -0.0199485, 0.282568, 2.57402, 0.174146, -0.252428, 0.277213, -0.00223069, 0.572898, 1.32542, 0.550227, -0.450133, -0.0949367, 1.12826, 0.791923, -0.914588, -0.0859124, -0.138722, 0.00784239, 0.371011, -0.0809924, 0.515068, 0.0483531, 0.0304425, -0.0835229, 0.0957839, 0.506181, 0.290598, -0.134445, -2.5955, -0.436885, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.00136835, -0.0252305, -0.0537688, -0.0276111, -0.132154, -0.475294, -0.945543, -0.184904, -0.0155256, 0.227676, 0.0598343, -0.254779, 0.0325685, 0.087107, 0.253575, 0.347227, -0.125152, 0.116884, 0.0225674, 0.0834113, 0.0844105, -0.550386, -0.227029, -0.505926, 0.0119869, 0.144964, -0.348451, 0.0535387, 0.454127, -0.0792333, 0.137748, -0.180593, -0.272476, 0.0626796, 0.032912, -0.123672, 0.707844, -0.212705, -0.22479, -0.0573845, -0.0941431, 0.0174995, -0.038394, -0.668539, 0.00479649, 0.113551, 0.0890698, 0.0626427, -0.175224, 0.176757, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.308641, -0.180814, 0.0320798, -0.133928, 0.122046, 0.253819, -0.355129, 0.0676696, -0.356219, 0.11135, -0.386914, 1.87395, -0.00718377, -0.0281939, 0.360041, -0.0091727, -0.0579359, -0.31226, 0.761684, -0.0295584, 0.332382, -0.413488, -5.82128, -0.0302129, -1.71206, 0.267384, -0.383026, 0.92052, -0.555137, -0.123924, -1.51013, -0.148276, 0.0532624, -0.0585493, -3.35444, -0.106115, 0.116267, -0.243068, 1.00064, 0.338025, 0.660074, -0.343009, -0.0306167, -0.715641, 0.097706, -0.199215, 0.38377, 0.139417, -0.322545, 0.0221668, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-1.30953, 0.0678526, -0.0225436, 0.291536, 0.522239, 0.0808461, 0.0572304, -0.92997, -3.37335, -1.03086, -0.0830482, -0.474197, -0.00271835, -0.255935, 0.423943, -0.0754544, -2.53263, -0.54246, -1.04996, -0.504276, -3.38329, -0.246697, 0.591377, -0.712468, -2.20684, 0.582405, 0.144034, 0.470783, 0.481701, -0.388149, 0.38378, -0.285181, 1.20636, 0.233682, -0.0104816, 0.129212, 0.174145, -0.246769, -0.694151, 0.499776, 0.816542, -0.0506413, -0.0315267, -0.0642911, -1.04515, -0.165544, 0.14476, -0.281081, -0.176887, 0.108488, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.165863, 0.0155731, -0.0442792, 0.521748, 0.541093, -0.633589, 0.434708, 0.0295455, -0.497319, -0.219681, -0.234757, 0.222305, 0.039207, 0.584333, -0.200313, -0.26166, -0.545944, -0.46261, -1.19076, -0.356618, -0.135534, 0.492863, 1.21788, 0.0565395, 0.783537, -0.561602, 0.707523, 0.15706, 0.433779, -0.237282, -0.470299, -0.485844, -0.120598, 0.327395, -0.671909, 0.599156, 0.213327, -0.376667, 0.169283, 0.849553, -0.339532, 0.0279174, 0.0260368, 0.279113, -0.0606219, -0.411249, -0.249159, -0.205394, 0.478242, 0.231394, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.358485, -0.105584, 0.0119325, 0.0883281, -0.194124, -0.0322605, -0.265748, -0.0341661, -0.406997, -0.200027, -0.432562, 1.28576, 0.0488451, -0.21428, -0.191496, -0.178573, -0.098002, 0.35213, -0.470036, -0.273612, -0.444266, -1.05051, -0.249963, -0.0497857, 0.169688, 0.0871386, 0.206933, -0.291646, -1.16402, 0.0876435, -0.657293, -0.0145872, -0.451461, -0.559525, 0.726674, 0.203627, -0.240421, -0.143133, 0.39555, 0.0851382, 0.0341592, -0.46747, -0.019615, 0.0462625, 0.0650326, 0.48207, -0.365932, -0.21523, 0.433752, -0.0729593, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.00706295, -0.330931, -0.0347406, 0.133584, -0.938957, -0.546106, 0.0189102, 0.25557, -0.192085, 0.121562, 0.670797, -0.200723, 0.0396614, 0.0580499, -0.916744, 0.68979, 0.0283417, -0.10881, 0.720406, 0.006324, 0.280706, 0.0300292, 0.226154, -0.129908, 0.130651, -0.243012, -0.21353, -1.22753, 0.141124, -0.509935, -0.203531, 0.241383, 2.29868, -0.398057, 0.226612, -0.778915, 0.0229753, 0.237902, -1.41487, -0.398556, 0.515431, -0.368463, 0.0332386, 0.178755, -0.196392, -0.579127, -0.340162, -0.149717, -0.653833, 0.421354, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.146928, -0.0392486, -0.0109686, -0.487421, -0.0788576, 0.232184, 0.314821, 0.375856, 0.171295, -0.818735, -0.0892238, -1.17275, -0.0174804, 0.000938147, 0.183322, 0.0535825, -0.849216, 0.0469372, 0.437699, -0.303782, 0.38448, 0.210358, 0.94264, -0.839272, -0.240818, 0.122296, -1.0005, -1.41309, -2.52037, -0.100891, -0.29048, 0.39821, -0.642374, -0.052227, -0.00888748, -0.618374, -0.0720161, 0.501994, -1.31557, 0.0915619, -1.09214, 0.66576, -0.0243954, -0.401641, -0.103016, 0.0958447, -1.35226, 0.479667, 0.312267, -0.177404, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0418929, -0.0301753, 0.0382093, -0.000948077, 0.0342243, 0.0155953, -0.00657355, 0.0134066, 0.00585426, -0.0770825, -0.00111812, -0.0262029, 0.0329311, -0.00406067, 0.00824789, 0.00757163, -0.0546304, -0.00152005, -0.0242972, 0.0223393, 0.0262734, 0.00472265, -0.0288751, 0.0270623, -0.0635123, 0.0136359, -0.00487585, 5.76673e-05, 0.0111145, -0.0777218, -0.0129052, -0.0522544, 0.0241798, 0.0216504, -0.0351133, -0.0338554, -0.0690799, -0.0178674, -0.0181205, -0.0387701, 0.00469738, -0.0592047, -0.0062632, -0.0881846, 0.00352062, -6.98634e-05, -0.0304893, -0.0156412, 0.0169023, 0.0159002, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.542282, -0.120229, 0.019216, 0.000968142, 0.730153, -0.678362, -0.852325, 0.653102, 0.242286, 0.217244, -0.337321, -0.311769, -0.00602738, -0.724053, -0.388725, -0.249463, -0.653041, 0.392964, -0.50175, -0.180867, 1.26166, 0.289361, 1.00027, 0.237961, 0.279263, -0.0628627, -0.231123, -0.399529, 1.36639, -0.635505, -0.209585, -0.261581, 0.798842, 0.036947, -2.00144, 0.0340172, 0.27187, -0.0754342, -0.50358, -0.14047, 0.619177, 0.405657, -0.00835916, 0.212912, -0.278643, 0.743854, -0.918625, 0.424811, 0.392311, 0.0883381, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.77581, -0.516144, -0.0353143, -0.132337, 0.0713014, 0.801031, -0.557859, -0.0873478, -0.0782436, 0.342325, -0.989724, -1.0059, 0.0345893, 0.287717, 0.0908365, 0.684017, 0.626808, -0.226005, 0.796541, -1.1535, 0.651585, -0.0563704, -1.52214, 0.594533, -0.300595, 0.196819, 0.115955, -0.0447569, -0.217754, -1.08447, -0.00973012, 0.415361, -0.620732, -0.287886, -1.84707, -0.00924604, 0.535683, 0.554802, 0.310825, 0.592697, -0.390737, -0.0565155, 0.00341078, -0.081652, -0.12007, 0.536545, -0.15884, -0.0729319, 0.269779, 0.153822, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.293456, -0.213112, 0.0348281, 0.209368, -0.367589, 0.104523, -0.264677, -0.033259, -0.0879738, 0.228089, 0.0979709, -0.364775, 0.02765, 0.112273, -0.619266, 0.223099, 0.345872, 0.428241, 0.115466, -0.271499, 0.535698, 0.00449353, -0.573475, 0.453004, -0.0617902, -0.0380855, -1.25962, -0.00351912, 0.259144, 0.105864, -0.215828, 0.33355, 0.308249, -0.252763, -0.126371, 0.160682, -0.0889872, 0.578814, -0.0371479, -0.0344364, -0.308818, -0.433735, -0.0248325, -0.0677406, -0.31145, -0.0235148, 0.144371, -0.194336, -1.79818, -0.160242, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0321466, -1.30564, -0.0342065, 0.158131, -0.0885922, 0.132902, 0.28878, -0.388595, 0.219711, -0.508418, -0.0391837, -0.739256, 0.017483, -0.149134, -0.254021, -0.00226608, 0.822103, -0.283514, 0.974079, -0.408892, 0.550957, -0.242931, -0.299488, 0.0652952, -0.117635, -0.127295, 0.168506, 0.150166, -0.0712991, 0.0876437, 0.0287586, 0.118769, -0.457213, -0.292544, 0.0486067, -0.0490223, 0.346391, 0.0963987, 0.298805, 0.0213788, 0.100116, -0.178734, 0.0200394, 0.146049, -0.583818, -0.281266, -0.0672556, -0.136984, 0.242615, 0.126043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-1.04852, 0.146359, 0.00278833, 0.451109, -0.202099, -0.456855, 0.301883, -0.823808, -0.062363, -0.657699, -0.381165, 0.427018, -0.0228334, -0.114166, -0.577562, -0.0950158, -0.0661856, -0.338224, -0.194061, 0.472355, -0.79804, 0.751855, 1.49073, 0.49742, -0.948136, -0.250496, 0.406826, -0.19413, -0.511784, 1.34088, -0.960649, -1.32976, -0.936507, 0.231822, -0.29315, 0.227923, -0.00021614, -1.5328, 0.564878, -0.00593766, -0.231254, -0.0188317, -0.00525386, -0.34477, -0.224574, -0.220361, 0.859714, 0.536804, 0.36848, 0.79876, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2075, -0.4402, 0.02876, -0.02293, -0.4722, -0.2722, -0.3242, 0.1849, 0.1132, -0.472, 0.3223, -0.1453, 0.04083, -1.004, 0.0783, -0.4797, -0.6294, -0.2041, -0.615, -0.1556, -0.6025, 0.51, 2.078, 0.248, 0.2122, -0.2966, -0.068, -0.2482, 0.7896, 0.04965, 0.2347, 0.1515, -1.865, -0.2754, -0.6216, -0.8853, 0.10034, 0.316, -0.4536, 0.58, -1.417, 0.05325, -0.01544, -0.518, -0.4265, -0.1373, 0.01207, 0.0955, -0.04037, -0.03488], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2764, 0.0811, 0.04904, 0.02203, 0.1274, -0.1737, 0.2157, 0.06836, 0.0517, -0.1901, 0.1978, -0.359, -0.03354, 0.5103, -0.06125, 0.0699, -0.1848, -0.1769, 0.5015, -0.1763, -0.1777, -0.668, 0.1048, 0.204, 0.1838, 0.2036, 0.1443, 0.1154, -0.2517, -0.2144, -0.7812, 0.3447, -0.4666, -0.0908, 0.1247, -0.3718, 0.117, 0.4922, -0.5557, -0.2314, -0.284, 0.00507, 0.05472, -0.0311, 0.1953, -0.0836, 0.05676, -0.3838, 0.1349, 0.2507], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2081, 0.176, -0.05426, -0.1162, -0.1542, -0.4282, -0.1272, -0.175, 0.11115, 0.11566, 0.08594, 0.004032, -0.003729, -0.1757, 0.09863, -0.161, -0.1026, -0.0327, 0.509, -0.4653, 0.284, -0.1693, 0.611, -0.1404, -0.332, 0.5703, 0.02702, 0.07025, 0.525, -0.3735, 0.09296, -0.0977, 0.0018015, 0.3176, 0.2869, -0.3945, -0.2605, 0.2554, 0.01932, -0.3901, 0.5376, -0.2174, -0.03613, 0.5996, 0.212, -0.01173, 0.1399, -0.2776, 0.11426, -0.3186], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1344, 0.199, -0.02449, 0.305, 0.02422, 0.604, 0.9624, -0.2104, 0.4302, 0.1644, 0.036, 0.1963, -0.02194, -0.0466, 0.4172, -0.4656, 0.04108, 0.1114, 0.01593, -0.1862, -0.92, -0.591, 0.1841, 0.2043, -0.2452, -0.1597, -0.1873, 0.0932, -0.467, 0.3735, -0.324, 0.01503, -0.07635, 0.07886, 0.4602, 0.324, 0.03714, -0.03513, 0.6313, -0.134, 0.3828, 0.617, -0.02596, -0.004852, 0.1532, 0.2173, 0.0916, -0.06836, 0.05157, -0.486], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03094, 0.4412, 0.01659, 0.04037, 0.192, -0.2224, -1.258, -0.0218, -0.398, -0.02885, -0.1588, -3.479, 0.02252, 0.2776, -0.0823, 0.01608, 0.3323, 0.1766, -0.5645, -0.6245, -0.8413, -0.203, 0.1373, 0.261, -0.1896, 0.0999, 0.3599, 1.388, 1.503, 0.4988, 0.4087, 0.0383, 1.777, -0.1349, -0.11316, 0.0575, -0.0684, -0.00978, -1.21, 0.18, 1.138, -0.1212, -0.002312, -0.727, -0.1659, 0.1991, 0.3616, 0.09784, 0.1847, -0.904], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1371, 0.2595, -0.03738, -0.1092, -0.2491, 0.1147, 0.092, 0.1925, -0.1628, 0.2559, 0.553, -0.02634, 0.0162, 0.2339, 0.1812, -0.1954, -0.1587, 0.1335, -0.757, 0.1276, 0.1637, -0.2815, -0.56, 0.00767, -0.2107, -0.01441, -0.098, 0.1078, 0.246, -0.03897, 0.05075, 0.2169, 0.01427, -0.237, 0.4827, -0.03125, -0.1644, 0.2273, 0.05444, -0.155, -0.2175, -0.076, 0.05103, 0.1622, -0.2461, 0.12494, 0.08844, 0.03336, 0.1428, -0.06793], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6177, 0.03108, -0.0435, 0.67, 0.873, -0.09045, 0.3237, -0.3098, 0.575, 0.2023, 0.3154, 0.0369, -0.00917, 0.0889, 0.632, 0.101, 0.3914, -0.0907, -0.4072, 0.3352, -0.4292, -0.3894, -0.2382, -0.7104, 0.2399, 0.3237, 0.2499, 0.0958, 0.2203, -0.0581, -0.3757, -0.03412, 1.024, 0.1416, -0.1049, 0.2556, -0.2676, -0.078, -2.268, 0.04114, 0.798, -0.2969, -0.008156, 0.5073, 0.6245, -0.3733, 0.8022, 0.624, 0.01011, -0.398], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.394, -0.2291, 0.0264, 0.238, 0.2373, -0.2391, 0.8457, -0.1033, -0.1256, 0.1158, -0.8076, 0.4429, -0.0432, 0.491, 0.3096, -0.3616, 0.2299, 0.3726, 1.447, 0.3635, -0.3955, 0.2267, -2.238, -0.4333, 0.2031, 0.621, -0.09827, 0.1771, -0.1304, -0.578, 0.04312, -0.002565, 0.00987, -0.2133, -0.4268, -0.199, -0.1725, 0.0736, 0.4915, 0.1907, 0.05093, 0.2776, -0.02151, 0.2089, 0.309, -0.02345, 0.1968, -0.07776, 0.1785, -0.307], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0809, -0.109, -0.01114, 0.0735, 0.03986, -0.232, -1.001, -0.0743, -0.02322, -0.1488, 0.1791, 0.3193, 0.03558, -0.1475, -0.2202, -0.1876, 0.03363, -0.4602, -0.6797, 0.0304, -0.2166, 0.2081, -0.2957, -0.3054, -0.3596, -0.1119, -0.1029, -0.3682, -0.1482, -0.4807, 0.1982, 0.1362, -0.251, 0.02219, -0.544, -0.8374, 0.3171, 0.1986, 0.5283, 0.288, 0.1458, -0.09955, -0.0425, 0.07947, -0.1721, 0.0352, -0.01192, -0.12384, -0.3218, -0.553], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03598, -0.2216, 0.00988, 0.0981, -0.01599, -0.0922, -0.07306, -0.12036, 0.015114, 0.39, 0.0698, 0.582, -0.014984, 0.2449, -0.2355, 0.4792, 0.156, 0.4888, 0.298, -0.02646, -0.7905, -0.489, -0.02663, 0.5073, 0.1536, 0.4878, 0.2467, 1.748, 2.078, 0.1113, 0.02248, -0.131, 1.7295, -0.325, 0.2137, 0.4006, -0.1328, -0.252, 0.288, -0.3848, 1.289, -0.1932, 0.0315, -0.386, 0.1945, 0.11005, 0.224, -0.1334, 0.2898, 0.06964], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01001, -0.02007, 0.0374, 0.001421, -0.001412, -0.00815, 0.02185, -0.002756, 0.01518, 0.02061, -0.01857, -0.01448, -0.0546, -0.02429, -0.05774, 0.02063, -0.01697, -0.0491, -0.05234, 0.0175, 0.006683, 0.02585, -0.014366, -0.04675, -0.05728, -0.01791, 0.03262, 0.02815, -0.02463, -0.05273, -0.00936, -0.0601, -5.496e-05, 0.01308, -0.04404, -0.0328, 0.0093, -0.0132, -0.03467, -0.02122, -0.008125, 0.00111, 0.0355, -0.04446, -0.03494, 0.015526, 0.02266, -0.00973, -0.05475, 0.02655], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1039, 0.6143, -0.04205, 0.07764, 1.583, 0.399, 0.4258, -0.2069, 0.109, -0.0992, -0.241, -0.05057, -0.02348, -0.2186, 0.1976, 1.617, 0.0699, -0.064, -0.1345, 0.3792, -0.8354, -0.4312, -0.1587, -0.04004, -0.0675, 0.804, 0.04562, 0.12225, -0.609, 0.263, -0.04706, 0.02003, 1.264, -0.3408, 0.7876, -0.2084, 0.1365, -0.0492, 0.0409, 0.2478, 1.311, -0.03156, 0.02057, -0.2042, 0.05087, -0.1858, -1.379, 1.026, -2.422, 0.219], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.151, 0.1289, -0.04465, 0.1367, -3.51, 0.8604, -0.0768, 0.5044, -0.1075, 0.2583, -0.2524, 0.5815, -0.05466, 0.003351, -1.018, -0.2084, 1.263, 0.2644, -0.163, -0.421, -0.5874, 0.134, -0.4631, -0.10913, -0.3027, -0.1316, -0.263, -0.984, -0.04736, 0.6567, 0.1816, 0.6567, -1.373, 0.3118, 0.86, -3.627, 0.1284, 0.632, -2.18, 0.338, -8.97, 0.2389, -0.05344, 0.2874, -1.655, -1.1875, -3.996, -0.3936, -2.855, -0.6157], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0752, -0.07294, 0.0169, 0.4626, 0.6865, -0.6245, 0.4812, 0.3462, 0.6963, 0.509, 0.0644, -1.521, 0.01469, 0.0727, -0.2878, 0.7637, -0.0815, -0.2627, 0.5933, 0.13, -0.197, -0.0409, 1.348, 0.777, 0.386, 0.3713, 0.5093, 0.1387, -1.034, -1.036, 0.426, -0.325, -0.9194, 0.6836, -0.0899, 0.8335, -0.1747, -0.2693, -2.506, 0.2205, -0.3706, -0.1259, 0.003202, -0.4424, -0.334, -0.5874, 0.5435, 0.299, 0.2769, -0.4597], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0491, -0.001927, 0.04218, -0.04846, 0.0386, -0.0328, -0.01299, 0.04266, -0.04068, 0.0175, -0.033, -0.02162, -0.04483, 4.84e-05, -0.003302, -0.04218, -0.0346, -0.00823, 0.01002, -0.0447, 0.01164, -0.04303, -0.02306, -0.002687, -0.01959, -0.03424, -0.03952, 0.01605, 0.02655, -0.03748, -0.01611, -0.03998, 0.03394, -0.02614, -0.02148, -0.04913, -0.036, -0.00478, 0.02739, 0.012184, 0.0353, 0.00483, 0.006416, 0.01945, -0.02638, -0.0345, -0.01201, 0.01056, 0.02934, -0.04922], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0842, -0.00096, 0.02959, 0.3462, 0.2347, 0.5337, -0.2172, 0.8564, 0.2747, 0.4868, 0.4827, -0.1654, 0.02902, 0.572, -0.0647, 0.5034, -0.5376, 0.003538, 0.4937, 0.2488, -0.1576, -0.2466, -1.216, 0.5425, -0.653, 0.0894, 0.417, -0.6865, 0.3745, -1.411, 0.5615, 0.0702, 0.88, 0.3723, 0.835, 0.1783, -0.306, 0.03702, -0.8135, -0.5454, 0.2678, 0.5835, -0.002468, 0.602, 0.588, -0.3577, -1.065, -0.256, 0.6855, -0.324], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0786, 0.4373, -0.0308, 0.223, -0.5986, 0.2158, -0.05667, -0.01173, -0.1498, -0.1094, -0.1842, -0.697, -0.01842, -0.7065, 0.01996, -0.732, 0.02339, -0.00597, 0.3804, -0.324, 0.3132, 0.1544, -0.2178, -0.55, -0.2659, -0.518, 0.04437, -1.12, -1.37, 0.009445, -0.05884, 0.2837, -1.733, 0.4822, 0.1781, -0.4348, 0.096, 0.3442, -0.5547, 0.2336, -1.28, 0.0627, 0.037, 0.548, 0.00355, 0.0239, 0.2786, -0.705, -0.961, -0.04205], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05942, -0.1936, 0.02896, 0.07367, 0.0786, -0.187, 0.09906, 0.01304, 0.1274, 0.075, 0.2185, -0.3506, -0.02328, 0.0427, -0.01968, 0.04196, 0.1372, 0.02551, -0.01965, -1.148, -0.1626, 0.05862, 0.02422, -0.00732, -0.81, 0.0706, 0.10986, 0.06287, 0.1686, 0.04657, -0.06033, 0.5117, 0.1334, -0.2019, -0.1536, 0.02246, -0.07385, 1.276, 0.0662, 0.01944, -0.02005, -0.05496, 0.02505, -0.1224, 0.203, -0.08685, 0.1252, 0.02411, 0.03287, -1.15], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01628, 0.00759, -0.01075, -0.01475, -0.01733, -0.0559, 0.006153, -0.0355, 0.01797, -0.04376, -0.003145, -0.01663, 0.03006, -0.01671, -0.02162, 0.00944, 0.001311, -0.05, -0.04868, -0.02066, 0.041, -0.03952, 0.01115, 0.003696, -0.03017, -0.04, 0.02522, 0.02716, -0.04507, -0.04944, 0.02827, 0.01701, 0.01016, -0.001293, -0.04733, 0.0001295, -0.03546, -0.05414, 0.04233, -0.0453, 0.03238, -0.01556, -0.03415, 0.02124, -0.008125, -0.01622, 0.006313, 0.01017, -0.05496, -0.006317], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0767, 0.05447, 0.011185, -0.8867, -0.03278, 0.0903, 0.0413, 0.0167, -1.27, -0.1373, 0.1681, 0.071, -0.0347, -0.05505, 0.3018, -0.0769, 0.0399, -0.0923, 0.07495, 0.1865, 0.04636, 0.1117, -0.05527, 0.8223, -0.1353, 0.126, -0.1682, -0.01547, -0.4644, -0.216, 0.01482, -0.1478, -0.1699, -0.10846, -0.01898, -0.01936, -0.01175, -0.1381, -0.005627, -0.0673, -0.11835, -0.06464, 0.01747, 0.11084, -0.03784, -0.2646, 0.1367, -0.4265, 0.01949, 0.1934], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4368, -0.4375, 0.03973, -0.03787, -0.10364, -0.1276, -0.3262, 0.2893, 0.09454, 0.1426, -0.454, -1.52, 0.02937, 0.1377, 0.01723, -0.005093, 1.35, -0.09296, -0.3594, -0.317, 0.6494, -0.277, 0.699, 0.9985, -0.2744, 0.08716, -0.10114, 0.508, -0.1962, -0.1855, -0.00955, 0.0166, 1.144, 0.5063, -0.4375, 0.2551, -0.004074, -0.1113, 2.61, 0.05975, 0.2362, -0.003218, -0.02267, -0.1293, 0.342, 1.008, -0.6074, 0.161, 0.1339, -0.236], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.10614, 0.528, -0.00942, -0.625, -0.4954, 0.02446, 0.3308, 0.2625, -0.36, 0.4138, -0.1852, -0.721, 0.013596, -0.04077, 1.344, -0.9194, 1.264, -0.5015, -0.08386, -0.7773, 0.2632, 0.1356, -1.194, -0.736, 0.324, 0.2488, -0.9854, 0.158, -1.206, -0.07074, 0.3247, 0.0925, -2.066, 0.4065, -0.2297, -0.5337, -0.1177, 0.05246, 0.546, 0.5347, -1.24, 0.446, -0.0366, 1.14, -0.7236, 0.00456, -0.3674, -0.003078, -0.06323, -0.731], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03592, 0.0378, -0.0395, -0.03674, 0.003275, -0.03992, -0.04565, -0.05066, -0.02951, -0.006874, 0.0142, -0.01933, 0.03192, -0.0501, -0.05203, -0.003014, 0.0259, -0.04745, -0.00919, -0.01607, -0.02104, -0.01892, -0.00445, -0.003746, -0.01044, -0.03384, 0.04144, 0.02626, -0.005795, 0.0001168, -0.02469, -0.02388, -0.001563, -0.05124, -0.0422, 0.007225, -0.007965, -0.01776, 0.02164, 0.04184, -0.01045, -0.00801, 0.03986, 0.01137, -0.014534, 0.02261, 0.0029, -0.04248, -0.04974, -0.02222], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3333, -0.407, -0.00917, 0.2793, -0.2291, -0.2153, 0.265, -0.733, 0.1482, 0.5605, -0.513, -1.346, -0.002724, -0.4675, 0.3486, 0.1483, 0.164, -0.04877, 0.1805, -0.2622, 0.5586, -0.10236, -0.712, 0.1919, -0.816, 0.1733, 0.7754, 0.282, 0.609, -0.2952, 0.0699, -0.006, 0.3435, 0.3386, -0.682, 0.1174, 0.1711, 0.06866, 0.7354, 0.185, 0.981, -0.05246, 0.048, 0.461, 0.05103, 0.49, -0.1428, 0.272, 0.481, 0.2485], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.241, 0.4324, 0.009796, -0.5796, -0.3162, -2.04, 0.5527, 0.4238, 0.189, 0.3384, -0.7344, 0.2144, -0.00778, -0.6035, 1.11, -0.2374, 0.5586, -0.08203, 0.0742, 0.3047, 0.4468, -0.5127, 0.7744, 0.779, -1.069, -0.2255, -0.8413, -0.1284, -0.05255, -0.000986, 0.726, -0.3386, 1.296, -0.2333, -0.7065, 0.4138, -0.0492, -0.2798, 0.0721, 0.3374, 0.194, -0.3723, -0.007126, 0.2754, -0.303, 0.4045, 0.2922, -0.2607, 0.05707, 0.1323], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08685, 0.0555, 0.003075, 0.3384, 0.507, -3.797, -1.569, 0.0008283, -0.798, 0.5225, -0.3083, 1.984, 0.0016575, 0.206, -0.2808, 0.4414, 0.739, 0.1979, -0.0286, 0.1819, 0.2725, -0.07654, -0.3901, 0.2041, -1.309, 0.2742, 0.2927, 0.669, -0.1174, 0.05844, 0.262, -0.198, -0.3499, -0.567, -0.9165, 0.683, 1.272, -0.0977, 0.5576, 0.3296, -0.315, -0.08954, -0.02141, -0.11383, -0.1951, -0.508, 0.4814, 0.3472, 0.3787, 0.479], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00942, -0.01323, 0.03412, 0.013145, -0.04282, -0.0363, 0.01929, -0.04895, -0.04257, -0.0117, 0.00101, -0.00798, -0.003706, -0.03217, -0.0284, 0.00814, -0.04166, 0.0347, 0.0127, -0.0519, -0.0338, 0.01237, -0.0219, 0.000791, -0.02095, 0.0391, 0.033, -0.04523, 0.04422, -0.0628, -0.03125, -0.0636, 0.04617, -0.03973, -0.02249, -0.01459, -0.05368, -0.02641, -0.005493, -0.02094, 0.01985, -0.0002747, 0.01488, -0.06107, -0.01909, -0.04126, -0.00856, -0.03552, 0.02286, 0.003408], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.07465, 0.0889, -0.000464, -0.03952, 0.4133, -0.4146, -0.154, -0.072, 0.127, 0.02635, 0.1792, 0.11414, -0.03595, -0.4272, 0.1898, -0.3462, -0.0626, 0.1305, -0.951, -0.09766, -1.933, 0.157, 1.323, -0.4363, -0.2079, 0.2146, -0.54, 0.0521, -0.2479, -0.2551, -0.184, 0.1445, -0.4792, -0.6445, 0.408, 0.778, -0.02138, 0.2147, -0.3647, -0.2367, -0.3276, -0.03075, -0.00748, -0.3748, 0.2896, -0.0898, 0.4165, 0.0342, -0.946, -1.0205], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.29, 0.05988, -0.000805, -0.081, -0.2585, 0.3635, -0.505, 0.0643, 0.04736, 0.4048, -1.015, -0.5015, -0.00845, -0.2583, -0.1337, -0.3247, 0.004375, -0.2683, -1.314, -0.11334, -0.5586, -0.01406, -0.4304, -0.006317, -0.2622, 0.1794, 0.05234, -0.2732, -0.533, -0.2299, -0.2944, -0.01921, -0.5244, 0.2062, -0.10864, 0.01936, 0.2515, 0.1307, -1.306, 0.2019, 0.0851, -0.000296, -0.01563, -0.7485, 0.10284, 0.3994, 0.3367, 0.01114, -0.4304, 0.4565], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0519, -0.0254, -0.0007343, -0.03357, -0.0192, -0.04272, -0.02504, -0.0419, -0.02406, -0.03998, -0.02611, 0.00409, 0.01775, -0.03123, -0.02686, -0.02008, -0.000214, -0.00925, -0.02754, 0.01595, 0.013405, 0.02475, -0.02824, 0.0355, -0.01843, -0.03952, -0.0475, -0.005737, -0.0499, -0.003204, -0.011696, 0.00897, -0.001471, -0.06018, -0.05954, 0.01262, -0.02274, -0.04126, 0.02113, 0.02452, 0.0325, 0.01262, 0.01196, 0.03017, -0.01993, -0.03506, 0.03253, -0.03079, -0.004566, 0.03287], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1313, 0.383, -0.03937, 0.5806, 0.6123, -0.0734, 0.1497, -0.832, 0.08673, 0.8296, 0.2198, -1.195, -0.01837, 0.0921, -0.354, 0.606, 0.1197, 0.404, -0.1512, 0.03017, 0.836, 0.885, 0.4282, -0.05478, 0.06128, 0.10504, 0.432, -0.6807, -1.149, -0.626, -0.2595, 0.1832, 0.6484, -0.09015, -0.383, -0.2744, 0.02278, 0.2832, -0.2825, -0.0623, -0.0833, -0.816, 0.0208, -0.451, -0.2727, -0.3618, 0.0869, -0.06976, 0.4587, -0.1774], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.07837, 0.2037, 0.01112, 0.2725, -0.57, 1.143, 1.266, -0.627, 0.734, -0.04782, -0.05447, -0.0388, 0.02579, -0.8066, 0.205, -0.4375, -0.2734, -0.1042, -0.02423, -0.6245, -0.0594, 0.2854, 1.078, -1.042, -0.05588, -1.345, 0.010506, 0.899, -0.0783, -0.9463, -0.1978, 0.521, -0.2451, 0.01813, 0.6685, 0.4634, 0.605, 0.364, -0.0778, 0.6104, 1.098, -0.02702, 0.03674, 0.1256, -0.794, -1.217, -0.1545, -0.08826, -0.006287, -0.0498], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02257, 0.3286, 0.03044, -0.007484, 0.10114, 0.3027, 0.123, 0.02457, 0.2063, 0.05237, 0.2292, 0.005108, 0.05527, -0.0484, 0.002594, 0.0248, -0.12085, 0.08624, 0.07605, 0.9204, -0.05328, -0.03915, 0.2095, -0.0971, -0.2202, 0.1005, 0.05164, 0.01418, 0.11755, -0.1519, 0.178, -2.525, 0.0288, -0.187, 0.5806, 0.07275, 0.0193, -4.28, 0.0678, 0.04013, 0.003784, -0.1389, -0.003378, -0.02731, 0.196, -0.05542, 0.010124, 0.01999, 0.06027, 0.963], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2812, 0.16, -0.02795, 1.493, -0.10187, 0.02753, -0.0858, 0.1517, 0.2032, -0.1968, 0.2585, 0.2288, 0.00245, -0.299, 0.0892, -0.1532, 0.3608, -0.2301, -0.3162, 0.2878, -0.897, 0.2585, 0.3713, 0.0836, 0.3354, -0.2289, 1.416, -0.1567, -0.4038, -0.1829, 0.5254, -0.1602, -0.9336, -0.1255, 0.3645, -0.02997, 0.07574, -0.236, 0.1835, -0.1561, -0.06665, 0.1963, 0.06097, 0.2286, 0.06744, -0.0974, 0.01057, -0.1887, -0.0643, -0.01125], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2573, 0.02522, 0.01662, 0.01006, -0.04837, 0.12244, 0.0643, 0.01333, 0.0915, -0.4956, 0.1394, 0.0763, 0.01746, -0.559, 0.1624, -0.1188, -0.06223, -0.2935, 0.05286, 0.04105, -0.2637, 0.0761, -0.652, -0.1409, -0.04245, -0.2961, -0.01591, 0.10834, 0.04913, -0.05164, -0.2286, -0.0908, 0.10815, -0.2092, 0.01329, 0.06976, 0.3025, -0.1035, -0.07025, -0.2605, 0.0791, 0.05505, -0.004852, 0.2418, -0.1201, -0.4219, 0.03928, -0.0281, -0.0842, 0.1186], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1915, -0.1683, -0.0372, 0.09937, 0.39, -0.6733, -0.3452, -0.2893, -0.01825, 0.09216, -0.4539, 0.981, 0.04538, -0.05634, 0.2045, 0.2194, 0.8086, -0.1613, -1.135, -0.732, -0.2367, -0.1948, -0.3389, 0.5107, -0.584, 0.689, -0.00852, -0.5205, -0.574, -0.01683, 0.11633, 0.7334, -1.296, -0.061, 0.1159, 0.862, 0.2292, 0.772, -0.7573, -0.02472, 0.1534, -0.0869, 0.04416, 0.351, 0.52, 0.38, -0.06744, 0.03323, 0.1367, 0.3123], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2407, 0.0856, 0.0194, -0.2106, 0.2634, -0.52, 0.699, 0.593, -0.4026, 0.01613, -0.0968, 1.037, 0.00896, -2.352, 0.2428, -0.7886, 0.0792, -0.1798, -0.856, -0.1564, -0.01994, 0.2825, 2.574, 0.1742, -0.2524, 0.277, -0.002232, 0.5728, 1.325, 0.5503, -0.4502, -0.0949, 1.128, 0.792, -0.9146, -0.08594, -0.1387, 0.00784, 0.371, -0.081, 0.515, 0.04834, 0.03044, -0.0835, 0.09576, 0.5063, 0.2905, -0.1344, -2.596, -0.4368], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013685, -0.02524, -0.05377, -0.02762, -0.1322, -0.4753, -0.9453, -0.1849, -0.015526, 0.2277, 0.05984, -0.255, 0.03256, 0.0871, 0.2537, 0.3472, -0.1251, 0.1169, 0.02257, 0.08344, 0.0844, -0.5503, -0.227, -0.506, 0.011986, 0.145, -0.3484, 0.05353, 0.454, -0.0792, 0.1377, -0.1805, -0.2725, 0.0627, 0.0329, -0.12366, 0.708, -0.2126, -0.2247, -0.05737, -0.0941, 0.0175, -0.0384, -0.6685, 0.004795, 0.1135, 0.08905, 0.0626, -0.1752, 0.1768], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3086, -0.1808, 0.03207, -0.1339, 0.1221, 0.254, -0.3552, 0.0677, -0.3562, 0.1113, -0.387, 1.874, -0.007183, -0.0282, 0.36, -0.00917, -0.05792, -0.3123, 0.7617, -0.02956, 0.3323, -0.4136, -5.82, -0.03021, -1.712, 0.2673, -0.383, 0.9204, -0.555, -0.1239, -1.51, -0.1483, 0.05325, -0.05856, -3.354, -0.10614, 0.1163, -0.243, 1.001, 0.3381, 0.66, -0.343, -0.03061, -0.716, 0.0977, -0.1992, 0.3838, 0.1394, -0.3225, 0.02217], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.31, 0.0679, -0.02254, 0.2915, 0.5225, 0.0809, 0.05722, -0.93, -3.373, -1.031, -0.08307, -0.474, -0.002718, -0.2559, 0.4238, -0.07544, -2.533, -0.5425, -1.05, -0.5044, -3.383, -0.2467, 0.5913, -0.7124, -2.207, 0.5825, 0.144, 0.4707, 0.4817, -0.3882, 0.3838, -0.2852, 1.206, 0.2336, -0.01048, 0.1293, 0.1742, -0.2468, -0.6943, 0.4998, 0.8164, -0.05063, -0.03152, -0.0643, -1.045, -0.1655, 0.1448, -0.281, -0.1769, 0.10846], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1659, 0.01557, -0.04428, 0.522, 0.541, -0.634, 0.4348, 0.02954, -0.4973, -0.2197, -0.2347, 0.2223, 0.0392, 0.5845, -0.2003, -0.2617, -0.546, -0.4626, -1.19, -0.3567, -0.1355, 0.493, 1.218, 0.05655, 0.7837, -0.5615, 0.7075, 0.1571, 0.4338, -0.2373, -0.4702, -0.4858, -0.1206, 0.3274, -0.672, 0.599, 0.2134, -0.3767, 0.1693, 0.8496, -0.3396, 0.02792, 0.02603, 0.279, -0.0606, -0.4111, -0.2491, -0.2054, 0.4783, 0.2314], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3584, -0.1056, 0.01193, 0.0883, -0.1941, -0.03226, -0.2659, -0.03418, -0.407, -0.2001, -0.4326, 1.286, 0.04886, -0.2142, -0.1915, -0.1786, -0.098, 0.352, -0.47, -0.2737, -0.4443, -1.051, -0.25, -0.04977, 0.1697, 0.08716, 0.2069, -0.2917, -1.164, 0.08765, -0.657, -0.01459, -0.4514, -0.5596, 0.7266, 0.2036, -0.2405, -0.1432, 0.3955, 0.08514, 0.03415, -0.4675, -0.0196, 0.04626, 0.065, 0.4822, -0.366, -0.2152, 0.4338, -0.07294], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.007065, -0.3308, -0.03473, 0.1335, -0.939, -0.546, 0.0189, 0.2556, -0.1921, 0.1216, 0.671, -0.2007, 0.03967, 0.05804, -0.9165, 0.69, 0.02834, -0.1088, 0.72, 0.006325, 0.2808, 0.03003, 0.2262, -0.1299, 0.1306, -0.243, -0.2135, -1.228, 0.1411, -0.51, -0.2035, 0.2413, 2.299, -0.398, 0.2266, -0.779, 0.02298, 0.2379, -1.415, -0.3984, 0.5156, -0.3684, 0.03323, 0.1787, -0.1964, -0.579, -0.34, -0.1497, -0.654, 0.4214], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.147, -0.03925, -0.01097, -0.4873, -0.07886, 0.2322, 0.315, 0.376, 0.1713, -0.819, -0.08923, -1.173, -0.01749, 0.000938, 0.1833, 0.0536, -0.849, 0.04694, 0.4377, -0.3037, 0.3845, 0.2103, 0.943, -0.8394, -0.2408, 0.1223, -1.001, -1.413, -2.52, -0.1009, -0.2905, 0.3982, -0.6426, -0.05222, -0.00889, -0.618, -0.072, 0.502, -1.315, 0.09155, -1.092, 0.6655, -0.0244, -0.4016, -0.103, 0.0958, -1.353, 0.4797, 0.3123, -0.1774], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0419, -0.03018, 0.0382, -0.000948, 0.0342, 0.015594, -0.006573, 0.013405, 0.005856, -0.0771, -0.001118, -0.0262, 0.03293, -0.00406, 0.00825, 0.007572, -0.05463, -0.00152, -0.02429, 0.02234, 0.02628, 0.004723, -0.02887, 0.02707, -0.06354, 0.01363, -0.004875, 5.764e-05, 0.011116, -0.0777, -0.01291, -0.05225, 0.02419, 0.02165, -0.03513, -0.03384, -0.0691, -0.01787, -0.01813, -0.03876, 0.004696, -0.0592, -0.006264, -0.0882, 0.003521, -6.986e-05, -0.03049, -0.01564, 0.0169, 0.0159], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5425, -0.12024, 0.01921, 0.000968, 0.73, -0.678, -0.8525, 0.6533, 0.2423, 0.2173, -0.3374, -0.3118, -0.006027, -0.724, -0.3887, -0.2495, -0.653, 0.393, -0.502, -0.1809, 1.262, 0.2893, 1.0, 0.2379, 0.2793, -0.06287, -0.2311, -0.3994, 1.366, -0.6357, -0.2096, -0.2615, 0.799, 0.03696, -2.002, 0.03403, 0.272, -0.07544, -0.5034, -0.1405, 0.619, 0.4058, -0.00836, 0.2129, -0.2786, 0.7437, -0.9185, 0.4248, 0.3923, 0.0883], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.776, -0.516, -0.0353, -0.1323, 0.0713, 0.8013, -0.5576, -0.08734, -0.07825, 0.3423, -0.9897, -1.006, 0.03458, 0.2876, 0.0908, 0.684, 0.627, -0.226, 0.7964, -1.153, 0.6514, -0.05637, -1.522, 0.5947, -0.3005, 0.1968, 0.11597, -0.04477, -0.2178, -1.084, -0.00973, 0.4153, -0.6206, -0.2878, -1.847, -0.00925, 0.5356, 0.5547, 0.3108, 0.593, -0.3906, -0.05652, 0.00341, -0.08167, -0.12006, 0.5366, -0.1588, -0.07294, 0.2698, 0.1538], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2935, -0.2131, 0.03482, 0.2094, -0.3677, 0.10455, -0.2646, -0.03326, -0.08795, 0.2281, 0.09796, -0.3647, 0.02765, 0.11224, -0.619, 0.2231, 0.346, 0.4282, 0.1155, -0.2715, 0.5356, 0.004494, -0.573, 0.4531, -0.0618, -0.0381, -1.26, -0.00352, 0.259, 0.10583, -0.2158, 0.3335, 0.3083, -0.2527, -0.1263, 0.1606, -0.089, 0.5786, -0.03714, -0.03442, -0.3088, -0.4338, -0.02483, -0.06775, -0.3115, -0.02351, 0.1444, -0.1943, -1.798, -0.1603], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03214, -1.306, -0.0342, 0.1581, -0.08856, 0.1329, 0.2888, -0.3887, 0.2197, -0.5083, -0.03918, -0.7393, 0.01749, -0.1492, -0.254, -0.002266, 0.8223, -0.2834, 0.974, -0.409, 0.551, -0.2429, -0.2996, 0.0653, -0.1176, -0.1273, 0.1685, 0.1501, -0.0713, 0.08765, 0.02876, 0.1188, -0.4573, -0.2925, 0.0486, -0.049, 0.3464, 0.0964, 0.2988, 0.02138, 0.1001, -0.1787, 0.02003, 0.146, -0.584, -0.2812, -0.06726, -0.137, 0.2427, 0.1261], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.049, 0.1464, 0.002789, 0.4512, -0.2021, -0.4568, 0.302, -0.8237, -0.06238, -0.6577, -0.381, 0.427, -0.02283, -0.11414, -0.5776, -0.09503, -0.06616, -0.3381, -0.1941, 0.4724, -0.798, 0.752, 1.491, 0.4973, -0.948, -0.2505, 0.4067, -0.1941, -0.5117, 1.341, -0.9604, -1.33, -0.9365, 0.2318, -0.2932, 0.2279, -0.0002161, -1.533, 0.565, -0.00594, -0.2312, -0.01883, -0.005253, -0.3447, -0.2246, -0.2203, 0.86, 0.5366, 0.3684, 0.799]]
[0.403499, 0.0987666, 0.101295, -0.403473, -0.283682, -0.014241, -0.3523, -0.0319337, 0.139876, -0.202497, -0.0178082, 0.119936, 0.125391, -0.461673, -0.00527838, -0.455257, 0.266665, 0.275508, -0.00554497, -0.00430607, 0.0235672, 0.490679, -0.00556259, -0.169883, 0.0299754, -0.397007, -0.00865872, 0.331771, 0.133201, -0.0240026, -0.0947102, -0.260296, -0.06435, 0.196223, -0.0662939, -0.1217, -0.242356, -0.00248542, -0.142344, -0.0110969, -0.107943, 0.226369, 0.472928, 0.305106, -0.0202601, -0.101488, -0.202299, 0.302782, -0.0132553, 0.0828081, 0.4036, 0.09875, 0.1013, -0.4036, -0.2837, -0.014244, -0.3523, -0.03192, 0.1399, -0.2025, -0.0178, 0.11993, 0.1254, -0.4617, -0.00528, -0.4553, 0.2666, 0.2754, -0.005547, -0.004307, 0.02357, 0.4907, -0.00556, -0.1699, 0.02997, -0.397, -0.00866, 0.3318, 0.1332, -0.024, -0.0947, -0.2603, -0.06433, 0.1962, -0.0663, -0.1217, -0.2423, -0.002485, -0.1423, -0.01109, -0.108, 0.2263, 0.473, 0.3052, -0.02026, -0.1015, -0.2023, 0.3027, -0.01325, 0.0828]
ReLU
[[-0.381458, 0.426274, 0.102813, -4.46328, 0.0223951, 0.538542, -0.858813, 0.320269, -0.560721, -1.16944, 0.046056, -0.453971, 0.153704, 0.19717, -0.016221, -0.528195, -0.373453, 0.574702, -0.0021109, 0.124925, -0.596048, -0.0467613, 0.0385189, 0.250591, 0.519177, 0.0882087, -0.000243705, -0.476013, -0.232527, 0.0139372, 0.511982, -0.330497, -0.111886, 0.589562, 0.202889, 0.231001, 0.116922, -0.223384, -0.799729, 0.833693, 0.301203, 0.201556, -0.0669923, -0.0730818, -0.0402166, -0.90132, 0.298028, -0.96526, -0.593226, 0.187292, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.690107, -0.918324, 0.332855, 0.0932293, 0.514447, -0.338194, -0.260424, 0.268586, 0.010977, 0.390079, -0.018033, -0.436957, 0.50852, 0.158088, 0.0222323, -0.458605, 0.291701, -0.171287, -0.0132741, 0.129768, -0.114189, 0.0191431, 0.0219877, -0.0697394, -0.648319, 0.00431588, -0.0500327, -0.0468163, 0.234121, -0.0205676, 0.32587, 0.106651, 0.0999771, 0.122269, -0.0236088, 0.247921, 0.116078, -0.204155, -0.449067, -0.0689668, -0.359183, 0.0442932, -0.0852652, 0.389, 0.00476905, 0.482268, 0.0774579, -0.21648, 0.482652, 0.801172, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.282106, -0.488055, 0.232516, 0.859226, -0.267473, 0.69669, -0.12098, -0.200502, 0.135075, -0.602594, 0.0458643, 0.0799212, 0.405361, -0.112684, -0.0105154, -0.453985, 0.241047, -0.000854903, 0.00339223, 0.10519, -0.514054, 0.147464, 0.00755612, -0.196974, -1.72034, 0.219893, 0.039436, -0.292396, 0.1841, -0.0217392, 0.250175, -0.398417, 0.470163, -0.0165211, 0.360518, 0.263745, 0.645495, 0.301941, -1.5903, -0.299861, -0.431151, 0.297898, 0.563402, -0.100054, 0.00922617, -0.0363245, -0.386987, -0.30852, -0.275506, -0.0977738, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0259131, -0.0227101, 0.0360473, -0.0398602, -0.0477294, -0.0207597, 0.00157343, -0.00331049, 0.00981599, -0.0401775, 0.00156404, 0.0104517, -0.0414074, 0.0012284, -0.0212996, 0.0348071, 0.00156653, -0.00990163, -0.0116385, 0.0302791, -0.0428834, -0.0198086, 0.0305345, -0.0646811, -0.0506614, 0.01567, 0.00248685, -0.011203, 0.0141957, 0.0374026, 0.0256839, 0.0312762, -0.0510537, 0.0164389, -0.0298546, -0.0350029, 0.0233728, -0.0058408, -0.00120323, -0.04621, 1.82555e-05, 0.0358998, -0.0397516, -0.00990627, -0.0516634, 0.00278672, 0.0412905, 0.0225431, 0.0162139, -0.0514618, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.132483, 0.0696478, 0.083395, -1.27036, 0.560802, 0.814475, 0.217923, -0.24754, -0.142057, 1.6864, -0.0384492, -0.537281, -0.00491696, -0.312328, -0.0368032, -0.600995, 0.833087, 0.166433, 0.0184158, -0.332686, 0.354311, 0.260413, -0.0151692, 0.333987, -0.563004, -0.121522, -0.0385152, -0.249353, -0.169912, -0.0272763, -0.0759898, 0.398249, -0.342778, 0.385404, -0.178045, 0.0469004, 0.441966, 0.201343, -0.356769, 0.773606, -0.45218, 0.535277, -0.0545742, 0.243704, -0.0369033, -0.209544, 0.328682, -0.0885644, 0.347535, 0.667235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0665973, -0.524206, -0.278748, -1.12109, -0.46135, 0.150989, -0.102857, -0.418672, 0.676221, 0.257862, -0.0394323, -0.157035, -0.130662, -0.157441, 0.00521937, -0.102309, 0.685401, 0.427869, -0.0265245, -0.187697, 0.17626, -0.134324, 0.0167546, 0.213305, -0.129255, -0.062987, 0.00713606, -0.853282, 0.431377, 0.0430775, -0.231599, 0.744265, -0.627178, -0.0868395, -0.381805, -0.307976, -0.466898, 0.139318, 0.414681, 0.672687, -0.194455, -0.649128, -0.242685, -0.223403, 0.00653289, -0.295948, 0.10126, -0.171854, -0.00200702, 0.278157, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.238827, -1.05258, -0.687075, -0.210507, -1.44183, -0.717737, -1.75286, -0.254646, 0.072409, -1.48109, -0.0225633, -0.0530227, 0.10829, -0.111823, 0.0322084, -0.181918, -0.720968, 0.268752, 0.0102389, -0.296445, -0.118815, 1.12975, -0.0162048, -0.403501, -1.47842, -0.0815922, 0.0359755, -0.348158, 0.24871, -0.0140188, 0.386356, -0.723202, -0.265973, 0.136703, 0.05454, -0.617472, -0.514751, -1.38732, -1.06688, -0.11369, 0.40029, 0.0419348, 0.739987, -0.393342, 0.00458187, 0.0672379, -0.426089, 0.359126, 0.297647, -0.342044, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0175024, 0.0412724, 0.0370462, 0.0157091, 0.0156587, -0.0312931, -0.00169782, -0.016773, 0.00149463, -0.0293699, 0.0195164, -0.0226232, -0.0283887, -0.049377, 0.0444542, 0.0252081, -0.0326989, -0.0452226, -0.0484249, 0.0204245, 0.0381865, -0.0128126, -0.0177042, 0.0127787, -0.0524979, 0.0359293, -0.0230172, -0.0139893, -0.00416612, 0.00209392, -0.030224, 0.00578686, 0.0286916, -0.0518211, 0.0318939, -0.0385848, -0.0335429, 0.0406722, 0.0198699, 0.0019575, -0.047876, -0.0251007, -0.0145058, -0.0363371, -0.0392691, -0.0261974, 0.0236172, -0.0147261, 0.0415999, -0.0291209, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-1.06815, 0.156711, -0.244323, -0.289617, -0.394134, -0.0141766, -0.0338972, 0.189699, 0.221979, 0.298464, -0.0373858, 0.152422, 0.686633, -0.181459, 0.0215448, 0.114537, -0.830352, 0.124113, 0.00108648, 0.0837637, 0.156088, 0.49107, -0.0225661, -1.24596, 0.280315, 0.205113, 0.0167616, 0.183187, -0.248074, -0.0233099, -0.443717, 0.233358, -0.5715, -1.22906, -0.0495757, 0.114547, -0.293338, 0.102192, 0.464485, -0.428542, -0.259437, 0.206715, -0.0103633, 1.55222, -0.0263527, -0.70155, -0.194325, 0.155053, 0.120725, -0.293019, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.247776, 0.202329, -0.527079, 0.622983, -0.55816, 0.0208892, -1.05792, 0.140217, 0.669379, -0.930322, 0.0354664, -0.133798, -0.024837, -0.255318, -0.0236104, 0.166783, -0.291369, 0.435254, -0.036791, 0.0393171, -0.295779, 0.463583, -0.0426491, -0.586209, 0.356868, -0.731563, -0.034428, -0.683563, 0.467452, 0.0128258, -0.73072, 0.107095, -1.24219, -0.0958339, -0.471956, -0.101491, -0.49892, 0.339126, -0.393518, -0.123253, -0.0360916, -0.0639695, 0.382219, 0.189355, 0.0416858, -1.96082, 0.0400348, 0.0220326, -0.660875, -0.0328191, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.242848, 0.560655, 0.234516, -0.0346744, 0.623326, 0.574525, 0.442853, 0.195162, 0.166945, -0.707092, -0.0251015, 0.0166696, -0.494212, -0.0417031, -0.0408516, 0.676725, 0.375408, 0.140651, 0.0250834, -0.502973, 0.0363513, -0.119631, 0.0240925, 0.124942, -0.407815, 0.00554446, 0.00505409, -0.428913, 0.199278, -0.0403453, 0.252368, 0.0949093, -0.31534, -0.163641, 0.235884, 0.23343, 0.819743, -0.3162, 0.288353, 0.0879732, 0.182219, 0.30085, -0.53483, -0.00837763, -0.0105023, -0.266755, -0.105148, 0.114078, -0.246432, -0.29832, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.413787, 0.339865, -0.199208, 0.115791, 0.574554, 0.171391, -0.264235, -0.0498114, 0.0289203, -1.31941, 0.0322749, 0.120672, -0.397962, -0.00575962, 0.0445231, 0.0738307, -0.711909, 0.378614, 0.0189695, 0.188562, 0.093557, 0.105874, 0.0229407, 0.0407538, -0.455077, 0.0952019, -0.0357854, -0.468533, 0.165911, -0.0180338, 0.288019, -0.0175984, 0.561415, 0.486369, -0.0192507, -0.0998766, -0.17146, 0.879382, -0.161858, 0.142526, 0.00406525, -0.229875, 0.177046, 0.0278164, -0.0026995, -0.201971, -0.0905358, -0.544692, -0.405046, -0.224238, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.176297, -0.141195, 0.129682, -0.0220797, -0.243821, -0.000363713, -0.287591, 0.176563, 0.500522, 0.542485, -0.0353752, -0.414039, -0.371714, -0.237977, -0.00636365, -0.753028, 0.693596, 0.112984, -0.0270182, -0.0593603, -0.0664261, 0.607026, -0.0386521, -0.00475091, 0.111271, 0.205419, -0.0289383, -0.379475, 0.0562297, 0.0382655, -0.0396293, 0.299688, -0.910058, -0.0146379, -0.158215, 0.297468, -0.516865, 0.373015, 0.950906, 0.279091, 0.121038, -0.0813405, 0.236919, 0.308876, -0.0173566, -0.423323, -0.066224, 0.319407, -0.109936, 0.194758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.411185, 0.372717, -0.101931, 0.068538, 0.308676, 0.626453, -0.282898, 0.0793891, -0.348306, -1.28544, -0.0510739, 0.0376726, -0.0366283, 0.421015, -0.027125, -0.204057, 1.35975, 0.0617873, 0.0499733, -0.614361, -0.822187, 0.0379723, 0.0273037, 0.0415971, -0.592417, 0.16674, 0.000649828, 0.23921, 0.222604, 0.0255077, 0.0676731, 0.0921977, -0.331625, -0.59659, 0.0765954, 0.186896, -0.669802, -0.0852762, -0.111747, -0.0604348, -0.884245, -1.39753, -0.0137431, 0.109927, 0.0121879, 0.00469108, 1.05989, 0.814191, 0.0597093, -0.625053, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.209037, 0.42491, -0.147982, 0.285474, -0.12006, -0.19048, 0.0694899, 0.128257, 0.0780233, 0.172704, 0.0253494, -0.0678919, -0.0463347, -0.337635, 0.00136304, -0.111209, 0.145921, -0.106965, 0.0450603, 0.0220105, -0.143811, 0.201505, 0.0206343, -0.130006, -0.255048, 0.259234, 0.00099625, 0.11653, 0.488133, 0.0216888, 0.339254, -0.107444, -1.43217, 0.215466, 0.0244014, -0.226564, 0.0705331, -0.0180756, -0.203596, 0.0180079, -0.285228, 0.0183482, 0.144536, 0.107259, -0.0407315, 0.0722322, 0.811183, 0.594915, 0.147157, -0.261996, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.458287, 0.363976, -0.0497459, -0.128329, -0.366731, 0.109017, 0.2013, -0.242389, -0.402204, 0.100648, -0.0348109, 0.0941648, 0.480631, 0.422431, -0.0385952, 0.187345, -0.042271, 0.325964, 0.0349025, 0.0112057, 0.171274, 0.287574, 0.0101638, 0.0422985, -1.32248, -0.206871, 0.0229931, 0.482122, 0.0528632, 0.000234839, 0.475481, 0.191762, 1.24504, -0.534555, -0.0151707, -0.109896, -0.514785, -0.119279, -0.192809, -0.167307, 0.234312, -0.324163, -0.22527, -0.153748, 0.0565403, -0.352427, 0.303215, -0.104158, 0.394382, 0.220236, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.524206, 0.770844, 0.0251558, 0.298071, -0.218598, 0.279804, -0.230962, 0.33425, -0.341823, -0.030591, -0.0133024, 0.28914, -0.375421, 0.367785, -0.0455572, -0.365975, -0.0960772, 0.215646, 0.01004, 0.00273109, -0.146822, -0.077967, 0.0315945, 0.394183, 0.0207278, -0.200886, -0.038343, -0.00777789, 0.215488, 0.0426266, 0.0403653, -0.197347, -0.147647, 0.103897, 0.0445987, -0.137345, -0.0821354, -0.428057, -0.0835959, 0.7717, 0.0995591, 0.0854981, 0.51895, -0.0251725, 0.0186763, 0.210481, 0.0596744, 0.431393, -0.114051, 0.47663, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.208751, -0.280859, -0.151755, 1.04223, 0.0453628, 0.0845822, -0.230061, -0.422495, -0.138516, -0.313227, 0.0178141, -0.00300528, 0.00298737, 0.486121, 0.0262413, 0.151799, 0.236204, 0.231486, -0.0294862, -0.857193, -0.293211, 0.288265, -0.00103467, 0.356899, 0.658448, -0.0237461, -0.00347008, 0.164924, -0.455741, -0.0192519, 0.0901361, -0.250267, 0.178391, 0.287266, 0.0932911, 0.174637, -0.249284, -0.0580254, -0.354465, -0.12189, 0.0896078, 0.147506, -0.978504, -5.79483, -0.0587875, -0.118704, 0.453358, -0.945345, -0.35638, 0.0638579, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.26774, 0.267014, -0.351052, -2.08854, -0.421228, 0.244146, -0.570087, -0.0932924, -0.144468, 0.557665, -0.0362775, -0.250349, 0.485314, 0.525829, -0.00774791, -0.335883, -0.626194, -0.169303, -0.0177614, -0.049944, -0.187688, -0.725733, -0.0271315, 0.20898, 0.00735533, 0.10316, -0.0196243, -1.86634, -0.23662, 0.00214593, -0.216298, -0.413874, -0.068286, 0.240625, 0.226319, -0.767071, 0.625977, 0.199777, -0.863759, 0.597441, 0.532726, 0.22365, -0.316229, 0.441026, -0.0440812, 0.61452, 0.520276, 1.24941, -0.0342502, -0.23051, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.140445, -0.27039, 0.446141, -1.17334, -0.260027, -0.900036, 0.524663, 0.198422, 0.800563, 1.13102, -0.00771172, 0.254315, 0.221178, 0.231424, -0.0167437, 0.581109, 0.320941, -0.313166, -0.0421539, -0.382746, 0.174511, 0.364335, 0.0119361, -0.745384, -0.164216, -0.177875, 0.0393826, 0.162464, -0.241756, 0.0139359, -0.603086, 0.345328, -0.240264, 0.225488, -0.0951239, -0.177128, 1.24175, -0.271469, 1.08098, 0.409965, -0.242982, 0.659213, -0.677406, 0.185099, 0.0240769, 0.423798, -0.442291, 1.00642, -0.145028, 0.320252, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.00903329, 0.250263, -0.255816, -0.116819, 0.102598, 0.631172, -0.0239782, 0.357651, -0.300006, 0.403123, 0.0324084, 0.0483803, 0.623587, 0.0971527, -0.0387936, 0.232755, 1.01606, 0.0722835, 0.0126367, 0.165458, -0.27524, -0.215991, -0.0110587, 0.0299364, -0.270676, -0.60649, -0.00896031, -0.21554, 0.166515, -0.0399657, 0.3116, 0.246981, -0.297122, -0.167145, -0.0966024, 0.0923061, -0.48077, 0.369756, -0.303363, 0.149089, 0.00434048, 0.574328, 0.101594, -1.02735, -0.00374068, 0.533252, -0.0769658, -0.250366, 0.270204, 0.177066, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.533081, -0.541527, 0.272116, 0.294707, 0.220019, 0.330798, 0.232947, -0.367361, -0.581519, -0.0289348, -0.0221365, 0.103413, 0.454287, 0.576488, -0.0469213, -0.225998, 0.217125, 0.108827, -0.0442142, 0.12156, 0.0382004, 0.29711, 0.00459372, -0.267654, 0.131128, 0.26659, 0.0387192, 0.390224, 0.322026, -0.0107107, 0.520158, -0.451388, -2.00977, -0.356667, -0.302614, -0.347038, 0.28923, -0.182854, -0.901063, -0.539145, 0.215106, -0.774323, 1.22493, 0.466884, -0.0105807, 0.260068, 0.0201472, 0.6498, 0.137228, 0.00735393, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.116419, 0.193382, -0.147758, -0.326416, 0.238955, -0.0166483, 0.361101, -0.198511, -1.19631, 0.202679, -0.0536384, -0.0713889, 0.139599, -0.6374, 0.035361, 0.144683, 0.0143568, 0.0713955, -0.0058624, -0.360504, 0.148231, -0.0428268, 0.0206982, 0.401168, -0.0420098, 0.209549, -0.0539757, 0.261724, 0.484038, -0.0135165, -0.199834, 0.0376892, 0.164029, -0.0651059, 0.205209, -0.153134, 0.198475, 0.738988, -0.634346, -0.0857499, -0.0696692, 0.122008, 0.00786063, -0.120807, -0.00651453, -0.357697, 0.202871, -0.0337432, -0.418371, 0.0856018, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.105078, -0.0901076, -0.461575, -0.539515, 0.540755, -0.593287, 0.224919, 0.0732455, -0.259461, 0.906213, 0.0116543, -0.23871, -0.896604, -0.56198, -0.0143462, -0.301069, -1.59613, 0.463991, 0.0186978, 0.279522, 0.00618177, 0.203304, -0.00917399, 0.2821, 0.318031, -0.724306, 0.00373929, -0.0238999, 0.0754312, -0.0404031, -0.384148, 0.0950293, -0.492835, 0.0575182, 0.0933946, -0.253036, -0.211662, 0.545831, -0.599567, 0.02106, 0.136206, 0.620515, -0.0303273, -1.19988, -0.0305517, 1.031, 0.378107, -0.29289, 0.169808, 0.272185, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.277866, -0.143931, -0.77928, 0.417547, -0.0147285, 0.239387, -0.0434443, -0.0618019, -0.0254811, 0.114671, 0.0488401, -0.518391, -1.93767, -0.308198, 0.0137105, 0.0487794, -1.14116, 0.230908, -0.00637716, 0.107755, -0.191809, 0.559528, 0.0344113, -1.36427, -0.122664, -2.23005, 0.015703, 0.154787, 0.442833, 0.00367591, -0.00832695, -0.0456946, 0.573921, 0.338386, -0.174764, -0.315915, 0.182903, 0.0401301, -2.50824, -0.108294, 0.143786, 0.280607, -0.271988, 0.151789, 0.0305432, 0.920895, -1.74441, 0.105706, 0.194697, 0.138426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.235408, 0.431041, 0.139402, -1.57394, -0.0314713, -0.128928, -0.650607, 0.0916131, 0.484835, -2.05056, -0.0224468, 0.493193, 0.553011, 0.685688, -0.0236835, 0.198601, -0.173476, 0.0491852, 0.0182942, 0.0597055, -0.16754, -0.552429, 0.0204059, -0.264361, -0.234227, 0.473029, -0.00970578, 0.548485, -0.118203, 0.0308907, 0.496645, 0.896152, -0.635159, -0.0721494, -0.292447, -0.0122121, -0.215609, 0.49481, -0.86293, 0.585639, -0.0933396, 0.330364, -0.643608, -0.270007, -0.00245659, 0.196531, 0.815617, 0.477704, -0.447287, 0.0483745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0481457, -0.392941, 0.11384, 0.938506, -0.160488, 0.150108, 0.105138, -0.284862, 0.340643, -0.737221, 0.00899349, 0.106621, -0.572644, 0.323707, -0.0443344, 0.102737, -2.04462, 0.0598593, -0.0391831, -0.327594, -0.415879, -0.140077, -0.0276132, 0.329292, 0.363213, 0.122019, 0.0406318, -0.109242, -0.0112255, -0.0483743, 0.363757, -0.381834, 0.166724, 0.750748, 0.207158, -0.689062, 1.01088, -0.0295455, -0.390346, -0.383045, 0.128964, -0.628458, 0.632228, 1.14306, 0.0463457, -0.078407, 0.193466, 0.810557, -0.532501, -0.0801226, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.195604, -0.229327, -0.0358154, 0.0612778, -0.0932181, -1.22221, 0.217038, 0.286848, -0.124984, 0.497909, 0.0254391, -0.145469, 0.240291, 0.381596, 0.00194209, -0.596378, 0.918117, 0.115351, 0.0266575, -0.0641528, -0.191469, -0.0560748, -0.0409568, 0.207258, -0.752734, -0.0119044, -0.00128626, -0.158646, -0.218557, -0.0477657, 0.670618, -0.0217961, -0.0579682, 0.252695, 0.0189606, 0.0569116, 0.458729, -0.341364, 0.494308, -0.094852, -0.308023, 0.20304, 0.0408832, -0.378599, 0.0123865, 0.774484, 0.37543, -0.777707, -0.358621, -0.264161, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.139716, 0.356247, -0.038544, -0.165407, -0.569252, 0.110027, -0.0320037, 0.0720072, 0.503569, 0.223061, -0.0519777, -0.180377, 0.273255, -0.456736, -0.0296362, -0.0615352, 1.31658, -0.19107, -0.0483527, 0.00752892, 0.214522, -0.0238011, -0.0300221, -0.0989454, -0.18355, -0.0212614, -0.0206861, -0.29718, 0.118433, 0.00715214, 0.213158, 0.238481, -0.504526, 0.0197173, 0.104239, 0.565893, 0.0112648, -0.451806, 0.406805, -0.795933, -0.269951, 0.121219, 0.249004, 0.390545, -0.0245537, 0.497797, 0.433528, -0.526289, -0.353279, -0.482368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0829204, 0.358568, 0.392911, 0.539338, -0.316523, -0.738924, -0.358298, 0.419542, -0.974498, 0.138608, -0.0463457, -0.297501, 0.098775, -0.0586762, -0.0335144, -0.115656, -0.041909, -0.595981, 0.0223695, -0.357848, -0.241326, 0.208031, -0.0405043, 0.321352, -0.47996, 0.687854, -0.00564904, 0.42417, -0.311223, -0.0174088, 0.176869, -0.309908, 0.117853, 0.288776, -0.0363699, -1.68857, -0.464688, -0.230428, 0.356501, -1.36978, 0.0101978, -0.217467, 0.630649, 0.388173, -0.0021548, 0.33376, -0.118102, -0.0959991, -1.15394, -0.905515, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.283151, 0.305808, -0.0234784, 0.316725, 0.485345, 1.01292, -0.200444, -0.393269, -0.803433, -0.276205, -0.0464025, 0.29118, -0.109332, -0.0729589, 0.00780341, 0.00765751, -0.0389421, -0.209237, 0.0441206, -0.086224, -0.402279, -0.407769, -0.0474396, -0.329917, 0.242596, 0.369998, 0.00496038, -0.235476, 0.150248, 0.0345746, 0.394419, -0.31828, 0.38463, -0.176622, 0.434177, 0.414542, 0.168361, 0.54024, 0.773734, 0.710705, -0.388019, 0.185712, -0.295443, 0.206269, -0.0459689, -0.125304, 0.599394, 0.231738, 0.0300288, -0.126426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.173526, -0.54661, -0.459611, 0.261321, -0.345215, 0.236907, 0.195272, -0.315813, 0.494191, -0.253195, -0.013564, 0.179556, -0.119197, 0.0256844, -0.0103553, -0.352831, -0.558499, 0.176547, 0.00240534, 0.224446, 0.147145, 0.174941, 0.016287, 0.11192, 0.0315279, -0.293578, 0.0151806, 0.43011, -0.701153, -0.0204462, 0.178557, -0.611443, 0.488205, -0.0832545, -0.118914, -0.307591, 0.0977766, 0.0111076, -0.0919071, 0.50234, 0.288406, -0.0527445, -0.228948, -0.686943, 0.0196973, 0.483469, 0.219804, -0.385984, -0.103442, 0.141359, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0456972, 0.22128, -0.178196, 0.0533066, -0.0403217, 0.155148, 0.05598, 0.0386736, -0.739221, 0.14243, 0.0085032, 0.0485444, 0.413093, 0.172484, -0.0486992, 0.144371, 0.128515, -0.19906, -0.0231174, -0.0458567, 0.00920014, 0.0455966, 0.0357876, 0.0752401, 0.241853, 0.00862799, 0.0140985, 0.155972, 0.413669, 0.00309745, -0.0714198, 0.00370205, -0.732969, -0.0912943, -0.030416, -0.0549944, -0.0656512, -0.0709397, -0.21882, -0.0588337, 0.0161028, 0.0860074, -0.024039, -0.0922152, -0.0384071, -0.058182, 0.0195522, -0.224804, -0.165475, -0.0271152, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.219541, 0.487732, 0.0351181, 0.105944, -0.0985456, 0.541511, -0.100175, 0.0567394, -1.32396, -0.216129, 0.0331121, -0.433786, 0.0899781, 0.158626, -0.0480199, 0.0170128, 0.754051, -0.390846, -0.0447584, 0.0427566, -0.204652, -0.177025, 0.0107534, -0.00514551, -0.321573, -0.607056, -0.023543, 0.688146, -0.25703, -0.0438669, -0.157132, 0.114376, 0.134471, 0.20775, -0.0281729, 0.0313411, 0.0919935, 0.484458, 0.422968, -0.625962, 0.638451, 0.33267, -0.371148, 0.298764, -0.0305869, 0.249712, -0.0218905, 0.468647, -0.21403, -0.272048, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.243904, 0.147911, 0.285645, 0.020922, 0.0201406, 0.78411, -0.508233, -0.320863, 0.379324, 0.201271, -0.00474833, -0.531066, 0.127157, 0.323129, -0.0372881, 0.232604, -0.052553, -0.0136934, 0.00169077, -0.461138, -0.181434, 0.360442, 0.0215761, -0.235417, -0.818003, 0.0130292, -0.0589957, -0.321206, 0.337074, 0.0186267, -0.130195, -0.246698, 0.213832, 0.154473, -0.0193991, -0.128065, 0.142688, -0.598246, -0.742422, 0.0596521, -0.466092, -0.303445, 0.334548, 0.781101, 0.0583667, -0.469852, -0.270011, 0.22904, -0.381148, -0.0511075, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0668701, 0.409554, 0.0938753, -0.080558, -0.481464, 0.559259, -0.350223, 0.12736, 0.257347, -0.474651, 0.0182659, 0.143301, -0.769118, -0.201236, -0.0470568, 0.114198, 0.108818, 0.0397195, -0.00590176, -0.00907976, -0.0815217, -0.127976, -0.0189076, -0.628859, 0.669872, -0.524432, -0.0330959, -0.0195647, 0.0934671, -0.0361997, 0.220645, 0.0164126, 0.400486, -0.0440262, 0.328097, -0.229389, 0.4989, 0.0219135, -0.196573, 0.312276, 0.0417497, -0.290522, 0.327494, -0.159711, -0.0223943, -2.27566, -0.165532, -0.275453, -0.677725, -0.0958855, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.26677, -0.395544, 0.352709, 1.41783, -1.09286, -0.125768, -0.358748, -0.164451, 0.480507, -0.881635, 0.0101225, 0.303526, 0.863271, -0.279629, -0.0185478, 0.997418, -0.582222, -0.178674, -0.0303128, -0.246981, -0.528008, 0.06239, -0.0378923, -0.532838, 0.217997, -0.608024, 0.0464718, 0.00864751, 0.0859382, 0.0047437, 0.309361, -0.381251, -0.599047, 0.0173461, -0.182421, 0.37481, -0.503939, 0.325286, -0.794367, -0.387464, 0.0940748, -0.441481, -0.260685, 1.20439, 0.042467, -0.574741, 0.432527, -0.198743, -0.263669, -0.00373606, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.340927, -0.0568659, 0.498073, -0.223192, 0.206416, 0.213769, -0.278853, -0.450221, 0.132816, 0.48191, 0.0395624, 0.0859907, -0.431496, -0.206182, -0.0184399, -0.115443, 0.402268, 0.0329369, -0.0437066, -0.035563, 0.200488, -0.0381299, -0.0400069, 0.22662, 0.07534, 0.587777, 0.0263789, -0.290666, -0.142041, 0.0132973, 0.520179, -0.0775586, -2.09595, -0.194795, -0.0351646, 0.134215, 0.276799, 0.176598, 0.180323, -0.792104, 0.0264471, 0.566113, 0.205637, -0.219492, -0.00526823, 0.237195, 0.752616, 0.548799, 0.305042, -0.65246, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.188035, 0.228117, 0.0593146, -0.440947, 0.303108, 0.827604, 0.0679952, 0.0382653, 0.431518, 0.319447, -0.0504704, 0.0100593, 0.607611, 0.00494019, -0.0230585, 0.602008, 0.0614343, -0.580097, -0.0203998, 0.157979, 0.688686, -0.148607, -0.0349826, -0.150851, 0.346578, 0.0447785, 0.0407679, 0.792594, -0.843025, 0.0269758, -0.713683, 0.136077, 0.175486, -0.76013, -0.0111534, 0.2236, -0.27545, -0.177128, 0.0790231, -0.419856, 0.446069, 0.121239, 0.0306706, 0.263476, 0.0372816, 1.09052, -0.287474, -0.0560445, 0.265933, -0.0930898, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0149517, -0.0460362, -0.0456831, 0.0175, -0.0105511, -0.00282346, -0.00047415, -0.00645169, 0.0192679, 0.00223141, -0.0285272, -0.00903376, -0.0329292, -0.038489, -0.00327203, -0.00287087, -0.00547389, 0.00491409, -0.0214752, -0.0168624, 0.026771, 0.0196995, 0.0373418, -0.0471513, -0.00501309, -0.0397155, 0.00157031, -0.010761, 0.0158049, 0.0236007, 0.00908507, 0.0152753, -0.0530439, -0.0405273, 0.0369561, -0.0191414, -0.00968569, -0.0501327, 0.0398916, -0.0354744, 0.0109308, -0.0504036, -0.0242847, -0.00725226, 0.0496313, 0.0403538, -0.0349327, -0.0114384, -0.0456144, -0.0291862, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.179189, -0.216069, -0.158478, -0.00231137, -0.276166, 0.545251, 0.33549, 0.0925603, -0.552761, -0.206717, 8.43053e-05, 0.265353, -0.0239281, 0.368707, -0.0134462, -0.0764583, -0.211611, -0.32464, -0.0377472, -0.23291, -0.0338696, -0.312648, -0.0249476, -0.168306, -0.0849983, -0.23035, 0.0232152, 0.348393, 0.0246922, 0.0505544, -0.0133145, -0.0918802, 0.985339, 0.0740044, 0.273624, -0.0871844, 0.203168, -0.309253, -0.0184743, 0.236238, -0.278566, 0.255269, -0.207594, -0.340112, 0.0123635, 0.225159, -0.319438, -0.47144, 0.699142, 0.268968, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.177887, -0.98048, -0.107546, -0.37088, -0.245996, 0.227725, 0.192488, -0.595259, -0.386997, 0.640267, -0.0254855, 0.0810457, -0.167399, -0.140425, -0.0429068, -0.649932, 0.551692, -0.231763, -0.0255311, 0.165173, -0.185726, 0.182917, -0.00163718, -0.525445, -0.768405, -0.336406, 0.0239197, 0.399022, -0.320928, -0.00446698, 0.329978, 0.0696846, -0.500596, 0.15381, -0.146906, -0.116251, -0.244005, 0.0877183, 0.236172, 0.321335, 0.186449, -0.243315, -0.235015, 0.228684, -0.010488, 0.107263, 0.347575, 0.367906, 0.244585, 0.434989, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.163432, 0.745433, 0.338963, -0.491603, -0.0798442, -0.00129465, 0.336646, -0.255526, -0.130355, -0.318084, 0.0286033, 0.262087, 0.200627, -0.00952645, 0.00640922, -0.312505, -0.163923, 0.188458, -0.0490431, -0.23384, 0.0827392, -0.465768, -0.0252141, 0.065013, 0.0974076, 0.317997, -0.0145866, 0.217877, -0.0308747, -0.0356618, 0.607015, 0.168417, -0.218088, 0.131452, 0.0178586, -0.00172673, 0.291869, 0.216168, -0.00885859, 0.324331, -0.211291, 0.314033, -0.583871, -0.614576, -0.00305882, -0.496709, -0.538021, -0.539188, -0.461694, -0.216762, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0476798, -0.079855, 0.188666, -0.013758, -0.0339072, -0.130111, -0.0206908, -0.0514572, 0.223189, -0.033065, 0.0111172, 0.00631295, 0.0274418, 0.0245769, 0.0323306, -0.00953188, 0.0461669, 1.20776, 0.0480397, -0.0152374, -0.0247845, 0.0254105, 0.0349187, -0.0258953, 0.00634327, -0.00549865, 0.0206297, 0.0211343, -0.19435, 0.0192466, -0.000894638, 0.0182453, -1.22264, -0.00106305, -0.0146623, 0.0326965, -0.00238023, -0.0403516, 0.0500738, 0.0060047, 0.00775271, 0.072532, 0.0211281, -0.0198021, 0.0187344, 0.093243, 0.0333148, -0.145848, -0.347476, -0.0868083, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.328341, 0.832227, -0.482871, 1.14243, 0.134758, -0.565365, -0.296549, 0.0014481, -1.03952, -0.0472475, 0.026993, -0.0735719, 0.307584, -0.126927, 0.00643973, 0.0327325, 0.0781271, -0.377445, -0.0296924, 0.0685729, -0.12597, 0.0630832, -0.0368031, 0.346676, 0.140915, 0.119572, 0.0482328, -0.46419, -0.970468, 0.0101716, 0.140176, -0.0101337, 0.321377, -0.0707427, 0.291609, -0.999751, 0.37733, 0.225236, 0.509046, -0.159962, -0.0129953, 0.183476, 0.288154, -0.206166, -0.0200821, -0.10219, 0.250242, 0.653269, -0.851752, -0.068458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.477976, 0.435023, 0.137847, -0.165285, 0.516009, -0.216139, -0.632399, 0.403864, 0.2579, -0.0894439, -0.0113893, -0.04569, 0.187212, 0.832254, -0.0299895, 0.770497, -0.197402, 0.245995, -0.0401696, -0.163599, -0.268113, 0.266158, -0.0503244, -0.877326, 0.116355, -0.466011, 0.0431149, -0.1797, 0.387186, 0.00597195, 0.233821, 0.667897, -0.00932028, -0.0962494, 0.376689, 0.912249, 0.327216, 0.617532, 0.837517, -2.84197, -1.23662, 0.108207, 0.152863, -0.267084, -0.020946, -0.310294, 0.151599, -0.000953165, 0.0798783, 0.349928, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0151943, -0.061006, -0.0696701, -0.0214761, 0.0246506, -0.0605225, -0.120824, 0.009265, -0.0186739, -0.0295964, 0.0339353, 0.00778465, -0.0383925, 0.025913, -0.0283805, -0.0137805, 0.0115367, -0.0378046, 0.00452707, -0.00132483, -0.0278438, -0.0186624, -0.0311307, 0.0252645, 0.0318528, 0.00593066, 0.0443071, -0.0656561, -0.0409683, -0.0105304, -0.0125282, -0.019575, -0.0386923, 0.0206875, -0.0109744, -0.0866174, 0.0410158, 0.0320942, 0.0265827, -0.00773845, -0.0394264, -0.0185365, -0.0640129, 0.0159874, -0.0347304, 0.00445954, 0.0557566, 0.0202616, -0.0249408, -0.022523, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0929934, 0.182997, -0.185675, 0.18004, 0.262488, -0.00561486, -0.0568207, -0.0534726, 0.196307, 0.365266, -0.0227271, -0.177147, -0.371555, -0.20956, -0.0132294, -0.331078, 0.252235, 0.539199, 0.0423353, -0.276438, -0.00430076, 0.0152537, 0.0228483, 0.0451614, -0.234478, -0.0437807, 0.0381083, -0.51654, 0.107738, 0.0128618, -0.0151506, -0.0770271, -0.941201, 0.0893858, 0.281726, 0.0700939, 0.0694439, -0.0556475, 0.102376, 0.301651, -0.510717, 0.00791637, 0.0865689, 0.406431, 0.018908, -0.221405, 0.556096, -0.348072, -0.421818, 0.105978, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.357441, 0.105427, 0.154759, -0.383164, 0.160654, 0.41209, 0.0634579, 0.0954226, 0.485912, -0.493485, -0.005468, 0.169891, 0.164051, 0.229947, -0.0437865, -0.273682, -0.415184, -0.0121078, 0.00660287, 0.0447443, -0.452734, 0.0509292, -0.0118634, -0.547804, -0.272577, 0.218489, 0.0326286, 0.504496, 0.28794, 0.0443322, 0.0737533, 0.295015, -0.495709, -0.483723, -0.169514, 0.436898, -0.0425496, 0.00662589, 0.00792349, -0.0840867, -0.0368002, 0.176448, 0.0442424, -0.33963, 0.0198901, 0.0230908, 0.496752, -0.286185, 0.316163, 0.015171, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.522387, 0.296457, -0.230236, 1.41772, -0.875521, 0.111535, -0.280503, -0.475621, 0.513902, -1.97855, 0.0261786, -0.8255, -0.289996, 0.302005, -0.0163474, 0.0930149, 0.935997, -0.150313, -0.00481771, 0.00745193, 0.0574382, -0.194777, -0.0494625, -0.0175451, 0.0514513, -0.419262, 0.0403737, 0.556502, 0.511941, -0.0171509, -0.0812399, -0.451636, -0.5001, 0.470039, -0.0571804, 0.335439, -1.1719, 0.552407, -0.675593, -1.2042, 0.248045, -0.263694, 0.340013, -0.213996, -0.0401247, -0.090908, -0.020692, 0.229067, 0.0485474, 0.206133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3813, 0.4263, 0.1028, -4.465, 0.0224, 0.5386, -0.859, 0.3203, -0.5605, -1.17, 0.04605, -0.4539, 0.1537, 0.1971, -0.01622, -0.5283, -0.3735, 0.5747, -0.002111, 0.12494, -0.596, -0.04675, 0.0385, 0.2505, 0.519, 0.0882, -0.0002437, -0.476, -0.2325, 0.01394, 0.512, -0.3306, -0.1119, 0.5894, 0.2029, 0.231, 0.11694, -0.2234, -0.8, 0.8335, 0.3013, 0.2015, -0.067, -0.07306, -0.04022, -0.9014, 0.298, -0.9653, -0.5933, 0.1873], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.69, -0.9185, 0.3328, 0.0932, 0.5146, -0.3381, -0.2605, 0.2686, 0.01098, 0.3901, -0.01804, -0.437, 0.5083, 0.1581, 0.02223, -0.4585, 0.2917, -0.1713, -0.013275, 0.1298, -0.1142, 0.01915, 0.02199, -0.06976, -0.6484, 0.004314, -0.05002, -0.0468, 0.2341, -0.02057, 0.326, 0.1066, 0.1, 0.12225, -0.0236, 0.2479, 0.1161, -0.2041, -0.449, -0.069, -0.3591, 0.04428, -0.08527, 0.389, 0.00477, 0.4822, 0.07745, -0.2164, 0.4827, 0.8013], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2822, -0.488, 0.2325, 0.8594, -0.2676, 0.697, -0.121, -0.2006, 0.1351, -0.6025, 0.04587, 0.0799, 0.4053, -0.1127, -0.01051, -0.454, 0.2411, -0.000855, 0.003393, 0.10516, -0.514, 0.1475, 0.007557, -0.197, -1.721, 0.2198, 0.03943, -0.2925, 0.1841, -0.02174, 0.2502, -0.3984, 0.4702, -0.01653, 0.3606, 0.2637, 0.6455, 0.302, -1.59, -0.2998, -0.4312, 0.2979, 0.5635, -0.10004, 0.009224, -0.03632, -0.387, -0.3086, -0.2754, -0.0978], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02591, -0.0227, 0.03604, -0.03986, -0.04773, -0.02077, 0.001574, -0.003311, 0.00982, -0.0402, 0.001564, 0.01045, -0.0414, 0.001228, -0.0213, 0.03482, 0.001567, -0.0099, -0.011635, 0.03027, -0.04288, -0.0198, 0.03053, -0.0647, -0.05066, 0.01567, 0.002487, -0.0112, 0.0142, 0.0374, 0.02568, 0.03128, -0.05106, 0.01643, -0.02986, -0.035, 0.02338, -0.00584, -0.001204, -0.0462, 1.824e-05, 0.0359, -0.03976, -0.0099, -0.05167, 0.002787, 0.0413, 0.02254, 0.01622, -0.05145], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1324, 0.06964, 0.0834, -1.2705, 0.561, 0.8145, 0.2179, -0.2476, -0.1421, 1.687, -0.03845, -0.537, -0.004917, -0.3123, -0.0368, -0.601, 0.833, 0.1664, 0.01842, -0.3328, 0.3542, 0.2605, -0.01517, 0.334, -0.563, -0.1215, -0.0385, -0.2494, -0.1699, -0.02728, -0.076, 0.3982, -0.3428, 0.3855, -0.1781, 0.0469, 0.442, 0.2013, -0.3567, 0.7734, -0.4521, 0.535, -0.05457, 0.2437, -0.0369, -0.2096, 0.3286, -0.08856, 0.3477, 0.667], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0666, -0.5244, -0.2788, -1.121, -0.4614, 0.151, -0.10284, -0.4187, 0.6763, 0.2578, -0.03943, -0.157, -0.1306, -0.1575, 0.00522, -0.1023, 0.6855, 0.428, -0.02652, -0.1877, 0.1763, -0.1343, 0.01675, 0.2133, -0.1293, -0.063, 0.007137, -0.8535, 0.4314, 0.0431, -0.2316, 0.744, -0.627, -0.08685, -0.3818, -0.3079, -0.4668, 0.1393, 0.4148, 0.673, -0.1945, -0.649, -0.2427, -0.2234, 0.006535, -0.296, 0.10126, -0.1719, -0.002007, 0.278], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2388, -1.053, -0.687, -0.2104, -1.441, -0.718, -1.753, -0.2546, 0.0724, -1.481, -0.02257, -0.053, 0.1083, -0.1118, 0.0322, -0.1819, -0.721, 0.2688, 0.01024, -0.2964, -0.11884, 1.13, -0.0162, -0.4036, -1.479, -0.0816, 0.03598, -0.3481, 0.2487, -0.014015, 0.3865, -0.723, -0.2659, 0.1367, 0.05453, -0.6177, -0.5146, -1.388, -1.066, -0.1137, 0.4004, 0.04193, 0.7397, -0.3933, 0.00458, 0.06726, -0.426, 0.3591, 0.2976, -0.342], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0175, 0.04126, 0.03705, 0.01572, 0.01566, -0.03128, -0.001698, -0.01677, 0.001494, -0.02937, 0.01952, -0.02263, -0.02838, -0.04938, 0.04446, 0.0252, -0.03268, -0.04523, -0.04843, 0.02043, 0.03818, -0.01281, -0.0177, 0.01278, -0.0525, 0.03592, -0.02301, -0.01399, -0.004166, 0.002094, -0.03023, 0.005787, 0.02869, -0.05182, 0.0319, -0.03857, -0.03354, 0.04068, 0.01987, 0.001957, -0.04788, -0.0251, -0.0145, -0.03635, -0.03928, -0.0262, 0.02362, -0.014725, 0.0416, -0.02911], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.068, 0.1567, -0.2443, -0.2896, -0.394, -0.014175, -0.0339, 0.1897, 0.2219, 0.2986, -0.03738, 0.1525, 0.6865, -0.1815, 0.02155, 0.11456, -0.8306, 0.1241, 0.001086, 0.08374, 0.1561, 0.491, -0.02257, -1.246, 0.2803, 0.2051, 0.01675, 0.1832, -0.248, -0.02332, -0.4436, 0.2334, -0.5713, -1.2295, -0.04956, 0.11456, -0.2935, 0.1022, 0.4646, -0.4285, -0.2595, 0.2067, -0.01036, 1.552, -0.02635, -0.7017, -0.1943, 0.155, 0.1207, -0.293], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2478, 0.2023, -0.527, 0.623, -0.558, 0.02089, -1.058, 0.1403, 0.6694, -0.93, 0.03546, -0.1338, -0.02484, -0.2554, -0.0236, 0.1667, -0.2913, 0.4353, -0.0368, 0.0393, -0.296, 0.4636, -0.04266, -0.5864, 0.357, -0.7314, -0.03442, -0.6836, 0.4675, 0.012825, -0.731, 0.1071, -1.242, -0.0958, -0.472, -0.1015, -0.499, 0.339, -0.3936, -0.1232, -0.0361, -0.06396, 0.3823, 0.1893, 0.0417, -1.961, 0.04004, 0.02203, -0.6606, -0.0328], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2428, 0.5605, 0.2345, -0.03467, 0.6235, 0.5747, 0.4429, 0.1952, 0.167, -0.707, -0.0251, 0.01666, -0.4941, -0.04172, -0.04086, 0.677, 0.3755, 0.1406, 0.02509, -0.503, 0.03635, -0.1196, 0.0241, 0.12494, -0.4077, 0.005543, 0.005054, -0.429, 0.1992, -0.04034, 0.2524, 0.0949, -0.3154, -0.1637, 0.2358, 0.2334, 0.82, -0.3162, 0.2883, 0.08795, 0.1823, 0.3008, -0.5347, -0.00838, -0.010506, -0.2668, -0.10516, 0.1141, -0.2465, -0.2983], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4138, 0.3398, -0.1992, 0.1158, 0.5747, 0.1714, -0.2642, -0.0498, 0.02892, -1.319, 0.0323, 0.12067, -0.398, -0.00576, 0.04453, 0.07385, -0.712, 0.3787, 0.01897, 0.1886, 0.09357, 0.1059, 0.02293, 0.04074, -0.455, 0.0952, -0.0358, -0.4685, 0.1659, -0.01804, 0.288, -0.0176, 0.5615, 0.4863, -0.01926, -0.09985, -0.1715, 0.8794, -0.1619, 0.1426, 0.004066, -0.2299, 0.177, 0.02782, -0.002699, -0.202, -0.0905, -0.545, -0.405, -0.2242], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1763, -0.1412, 0.1296, -0.02208, -0.2438, -0.0003638, -0.2876, 0.1765, 0.5005, 0.5425, -0.03537, -0.414, -0.3718, -0.238, -0.006363, -0.753, 0.6934, 0.113, -0.02702, -0.05936, -0.0664, 0.607, -0.03867, -0.00475, 0.11127, 0.2054, -0.02895, -0.3794, 0.05624, 0.03827, -0.03964, 0.2998, -0.91, -0.01464, -0.1582, 0.2974, -0.517, 0.373, 0.9507, 0.279, 0.12103, -0.08136, 0.2369, 0.3088, -0.01735, -0.4233, -0.0662, 0.3193, -0.1099, 0.1947], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4111, 0.3728, -0.1019, 0.06854, 0.3086, 0.6265, -0.283, 0.0794, -0.3484, -1.285, -0.0511, 0.03766, -0.03662, 0.421, -0.02713, -0.2041, 1.359, 0.0618, 0.05, -0.6143, -0.8223, 0.03796, 0.0273, 0.0416, -0.5923, 0.1667, 0.00065, 0.2393, 0.2227, 0.02551, 0.0677, 0.0922, -0.3315, -0.5967, 0.0766, 0.1869, -0.67, -0.08527, -0.11176, -0.06042, -0.8843, -1.397, -0.01374, 0.1099, 0.012184, 0.004692, 1.06, 0.814, 0.05972, -0.625], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.209, 0.4248, -0.148, 0.2854, -0.12006, -0.1904, 0.0695, 0.1283, 0.078, 0.1727, 0.02534, -0.0679, -0.04633, -0.3376, 0.001363, -0.1112, 0.1459, -0.107, 0.04507, 0.022, -0.1438, 0.2015, 0.02063, -0.13, -0.2551, 0.2593, 0.000997, 0.1165, 0.488, 0.02168, 0.3394, -0.1074, -1.433, 0.2155, 0.0244, -0.2266, 0.07056, -0.01808, -0.2036, 0.018, -0.2852, 0.01834, 0.1445, 0.10724, -0.04074, 0.0722, 0.811, 0.5947, 0.1472, -0.262], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4583, 0.364, -0.04974, -0.1283, -0.3667, 0.109, 0.2013, -0.2424, -0.402, 0.10065, -0.03482, 0.0942, 0.4807, 0.4224, -0.0386, 0.1874, -0.04227, 0.326, 0.0349, 0.01121, 0.1713, 0.2876, 0.01016, 0.0423, -1.322, -0.2069, 0.023, 0.4822, 0.05286, 0.0002348, 0.4756, 0.1918, 1.245, -0.5347, -0.01517, -0.1099, -0.5146, -0.11926, -0.1927, -0.1674, 0.2343, -0.3242, -0.2252, -0.1538, 0.05655, -0.3525, 0.3032, -0.1042, 0.3943, 0.2202], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5244, 0.771, 0.02516, 0.298, -0.2186, 0.2798, -0.231, 0.3342, -0.3418, -0.0306, -0.013306, 0.289, -0.3755, 0.3677, -0.04556, -0.366, -0.09607, 0.2157, 0.01004, 0.002731, -0.1469, -0.07794, 0.0316, 0.3943, 0.02072, -0.2009, -0.03833, -0.00778, 0.2155, 0.04263, 0.04037, -0.1974, -0.1477, 0.1039, 0.0446, -0.1373, -0.08215, -0.428, -0.0836, 0.7715, 0.09955, 0.0855, 0.519, -0.02518, 0.01868, 0.2104, 0.05966, 0.4314, -0.1141, 0.4766], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2087, -0.2808, -0.1517, 1.042, 0.04535, 0.0846, -0.2301, -0.4226, -0.1385, -0.3132, 0.0178, -0.003006, 0.002987, 0.486, 0.02625, 0.1519, 0.2362, 0.2314, -0.02948, -0.8574, -0.2932, 0.2883, -0.001035, 0.357, 0.6587, -0.02374, -0.00347, 0.1649, -0.4558, -0.01926, 0.09015, -0.2502, 0.1783, 0.2874, 0.09326, 0.1747, -0.2493, -0.058, -0.3545, -0.1219, 0.0896, 0.1475, -0.9785, -5.793, -0.05878, -0.1187, 0.4534, -0.9453, -0.3564, 0.06384], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2678, 0.267, -0.351, -2.088, -0.4211, 0.2441, -0.5703, -0.0933, -0.1444, 0.5576, -0.0363, -0.2502, 0.4854, 0.526, -0.007748, -0.336, -0.626, -0.1693, -0.01776, -0.04996, -0.1877, -0.7256, -0.02713, 0.209, 0.007355, 0.10315, -0.01962, -1.866, -0.2366, 0.002146, -0.2163, -0.4138, -0.0683, 0.2406, 0.2263, -0.767, 0.626, 0.1998, -0.864, 0.5977, 0.5327, 0.2236, -0.3162, 0.441, -0.04407, 0.6147, 0.5205, 1.249, -0.03424, -0.2305], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1405, -0.2705, 0.446, -1.174, -0.26, -0.9, 0.525, 0.1984, 0.801, 1.131, -0.007713, 0.2544, 0.2212, 0.2314, -0.01674, 0.581, 0.321, -0.3132, -0.04214, -0.3828, 0.1746, 0.3643, 0.01193, -0.7456, -0.1642, -0.1779, 0.03937, 0.1625, -0.2417, 0.01394, -0.603, 0.3452, -0.2402, 0.2255, -0.09515, -0.1771, 1.242, -0.2715, 1.081, 0.41, -0.243, 0.659, -0.6772, 0.185, 0.02408, 0.4238, -0.4424, 1.007, -0.145, 0.3203], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00903, 0.2502, -0.2559, -0.1168, 0.1026, 0.6313, -0.02397, 0.3577, -0.3, 0.403, 0.0324, 0.04837, 0.6235, 0.09717, -0.0388, 0.2328, 1.016, 0.07227, 0.012634, 0.1654, -0.2751, -0.216, -0.011055, 0.02994, -0.2708, -0.6064, -0.00896, -0.2156, 0.1665, -0.03998, 0.3115, 0.247, -0.297, -0.1671, -0.0966, 0.0923, -0.4807, 0.3699, -0.3035, 0.149, 0.00434, 0.574, 0.1016, -1.027, -0.00374, 0.533, -0.07697, -0.2502, 0.2703, 0.1771], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.533, -0.5415, 0.2722, 0.2947, 0.22, 0.3308, 0.2329, -0.3674, -0.5815, -0.02893, -0.02214, 0.1034, 0.4543, 0.5767, -0.04694, -0.226, 0.2172, 0.1088, -0.04422, 0.1216, 0.0382, 0.297, 0.004593, -0.2676, 0.1311, 0.2666, 0.03873, 0.3901, 0.322, -0.01071, 0.52, -0.4514, -2.01, -0.3567, -0.3027, -0.347, 0.2893, -0.1829, -0.901, -0.539, 0.2151, -0.7744, 1.225, 0.4668, -0.01058, 0.26, 0.02014, 0.65, 0.1372, 0.007355], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1164, 0.1934, -0.1477, -0.3264, 0.239, -0.01665, 0.361, -0.1985, -1.196, 0.2026, -0.05365, -0.0714, 0.1396, -0.637, 0.03537, 0.1447, 0.01436, 0.0714, -0.005863, -0.3606, 0.1482, -0.04282, 0.02069, 0.4011, -0.04202, 0.2096, -0.054, 0.2617, 0.4841, -0.01352, -0.1998, 0.0377, 0.1641, -0.0651, 0.2052, -0.1531, 0.1985, 0.739, -0.6343, -0.08575, -0.06964, 0.122, 0.00786, -0.1208, -0.006516, -0.3577, 0.2029, -0.03375, -0.4185, 0.0856], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1051, -0.0901, -0.4617, -0.5396, 0.5405, -0.5933, 0.225, 0.07324, -0.2595, 0.9062, 0.01166, -0.2388, -0.8965, -0.562, -0.01434, -0.301, -1.596, 0.464, 0.01869, 0.2795, 0.006184, 0.2032, -0.00917, 0.282, 0.318, -0.724, 0.003738, -0.0239, 0.07544, -0.0404, -0.384, 0.09503, -0.493, 0.05753, 0.0934, -0.253, -0.2117, 0.546, -0.5996, 0.02106, 0.1362, 0.6206, -0.03033, -1.2, -0.03055, 1.031, 0.3782, -0.293, 0.1698, 0.2722], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2778, -0.1439, -0.7793, 0.4175, -0.014725, 0.2394, -0.04346, -0.0618, -0.02548, 0.1147, 0.04883, -0.5186, -1.9375, -0.308, 0.01371, 0.04877, -1.142, 0.231, -0.00638, 0.1077, -0.1918, 0.5596, 0.03442, -1.364, -0.1227, -2.23, 0.0157, 0.1548, 0.4429, 0.003675, -0.00832, -0.0457, 0.5737, 0.3384, -0.1748, -0.316, 0.1829, 0.04013, -2.508, -0.1083, 0.1438, 0.2805, -0.272, 0.1517, 0.03055, 0.921, -1.744, 0.1057, 0.1947, 0.1384], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2354, 0.4312, 0.1394, -1.574, -0.03146, -0.1289, -0.6504, 0.0916, 0.4849, -2.05, -0.02245, 0.4932, 0.553, 0.6855, -0.02368, 0.1986, -0.1735, 0.0492, 0.0183, 0.0597, -0.1675, -0.5522, 0.0204, -0.2644, -0.2343, 0.4731, -0.009705, 0.5483, -0.1182, 0.03088, 0.4966, 0.896, -0.6353, -0.07214, -0.2925, -0.012215, -0.2156, 0.4949, -0.863, 0.5854, -0.0933, 0.3303, -0.6436, -0.27, -0.002457, 0.1965, 0.8154, 0.4778, -0.4473, 0.04837], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.04816, -0.3928, 0.11383, 0.9385, -0.1605, 0.1501, 0.10516, -0.285, 0.3406, -0.7373, 0.008995, 0.1066, -0.5728, 0.3237, -0.04434, 0.1027, -2.045, 0.05984, -0.03918, -0.3276, -0.4158, -0.1401, -0.02762, 0.3293, 0.3633, 0.122, 0.04062, -0.10925, -0.01122, -0.04837, 0.3638, -0.3818, 0.1667, 0.751, 0.2072, -0.689, 1.011, -0.02954, -0.3904, -0.383, 0.1289, -0.6284, 0.6323, 1.143, 0.04636, -0.0784, 0.1935, 0.8105, -0.5327, -0.08014], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1956, -0.2294, -0.03583, 0.06128, -0.0932, -1.223, 0.217, 0.2869, -0.125, 0.4978, 0.02544, -0.1455, 0.2402, 0.3816, 0.001942, -0.596, 0.918, 0.11536, 0.02666, -0.06415, -0.1915, -0.05606, -0.04095, 0.2073, -0.753, -0.0119, -0.0012865, -0.1587, -0.2185, -0.04776, 0.6704, -0.02179, -0.05798, 0.2527, 0.01897, 0.05692, 0.4587, -0.3413, 0.4944, -0.09485, -0.308, 0.203, 0.0409, -0.3787, 0.01239, 0.7744, 0.3755, -0.778, -0.3586, -0.2642], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1398, 0.3562, -0.03854, -0.1654, -0.5693, 0.11005, -0.032, 0.072, 0.5034, 0.223, -0.05197, -0.1804, 0.2732, -0.4568, -0.02963, -0.06152, 1.316, -0.191, -0.04834, 0.00753, 0.2145, -0.0238, -0.03003, -0.09894, -0.1836, -0.02126, -0.02069, -0.297, 0.1184, 0.007153, 0.2131, 0.2385, -0.5044, 0.01971, 0.10425, 0.566, 0.01126, -0.452, 0.4067, -0.796, -0.27, 0.1212, 0.249, 0.3906, -0.02455, 0.4978, 0.4336, -0.5264, -0.3533, -0.4824], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08295, 0.3586, 0.3928, 0.5396, -0.3164, -0.739, -0.3584, 0.4194, -0.9746, 0.1385, -0.04636, -0.2976, 0.09875, -0.0587, -0.0335, -0.11566, -0.0419, -0.596, 0.02237, -0.358, -0.2413, 0.208, -0.0405, 0.3213, -0.48, 0.688, -0.00565, 0.424, -0.3113, -0.01741, 0.1769, -0.3098, 0.11786, 0.2888, -0.03638, -1.688, -0.4646, -0.2305, 0.3564, -1.37, 0.0102, -0.2174, 0.631, 0.3882, -0.002155, 0.3337, -0.1181, -0.096, -1.154, -0.9053], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2832, 0.306, -0.02348, 0.3167, 0.4854, 1.013, -0.2004, -0.3933, -0.803, -0.2761, -0.04642, 0.2913, -0.1093, -0.07294, 0.007805, 0.007656, -0.03894, -0.2092, 0.04413, -0.08624, -0.4023, -0.4077, -0.04745, -0.3298, 0.2426, 0.37, 0.00496, -0.2355, 0.1503, 0.03458, 0.3945, -0.3184, 0.3845, -0.1766, 0.434, 0.4146, 0.1683, 0.54, 0.774, 0.711, -0.388, 0.1857, -0.2954, 0.2063, -0.04596, -0.1252, 0.5996, 0.2317, 0.03003, -0.1265], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1736, -0.5464, -0.4597, 0.2612, -0.3452, 0.2369, 0.1953, -0.316, 0.4941, -0.2532, -0.013565, 0.1796, -0.1192, 0.02568, -0.01035, -0.3528, -0.5586, 0.1765, 0.002405, 0.2245, 0.1471, 0.1749, 0.01628, 0.11194, 0.03152, -0.2935, 0.01518, 0.4302, -0.701, -0.02045, 0.1786, -0.6113, 0.4883, -0.08325, -0.1189, -0.3076, 0.0978, 0.01111, -0.0919, 0.5024, 0.2883, -0.05273, -0.229, -0.687, 0.0197, 0.4834, 0.2198, -0.386, -0.10345, 0.1414], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0457, 0.2213, -0.1782, 0.0533, -0.0403, 0.1552, 0.05597, 0.03867, -0.7393, 0.1425, 0.00851, 0.04855, 0.413, 0.1725, -0.0487, 0.1444, 0.1285, -0.1991, -0.02312, -0.04587, 0.0092, 0.0456, 0.0358, 0.07526, 0.2418, 0.00863, 0.0141, 0.156, 0.4136, 0.003098, -0.0714, 0.003702, -0.733, -0.0913, -0.03041, -0.055, -0.0657, -0.0709, -0.2189, -0.05884, 0.0161, 0.086, -0.02403, -0.0922, -0.03842, -0.0582, 0.01955, -0.2249, -0.1655, -0.02711], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2195, 0.4878, 0.03513, 0.10596, -0.0986, 0.5415, -0.10016, 0.05673, -1.324, -0.2162, 0.0331, -0.4338, 0.08997, 0.1586, -0.04803, 0.01701, 0.754, -0.3909, -0.04477, 0.04276, -0.2047, -0.177, 0.01075, -0.005146, -0.3215, -0.607, -0.02354, 0.688, -0.257, -0.04385, -0.1571, 0.1144, 0.1345, 0.2078, -0.02817, 0.03134, 0.092, 0.4844, 0.4229, -0.626, 0.6387, 0.3328, -0.371, 0.2988, -0.0306, 0.2498, -0.0219, 0.4688, -0.214, -0.272], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2439, 0.148, 0.2856, 0.02092, 0.02014, 0.784, -0.5083, -0.3208, 0.3794, 0.2013, -0.00475, -0.5312, 0.1272, 0.3232, -0.0373, 0.2325, -0.05255, -0.013695, 0.001691, -0.4612, -0.1814, 0.3604, 0.02158, -0.2355, -0.818, 0.01303, -0.059, -0.3213, 0.3372, 0.01863, -0.1302, -0.2467, 0.2139, 0.1544, -0.0194, -0.128, 0.1427, -0.598, -0.742, 0.05966, -0.466, -0.3035, 0.3345, 0.7812, 0.05838, -0.47, -0.27, 0.229, -0.381, -0.05112], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0669, 0.4097, 0.0939, -0.08057, -0.4814, 0.559, -0.3503, 0.1273, 0.2573, -0.4746, 0.01826, 0.1433, -0.769, -0.2013, -0.04706, 0.1142, 0.1088, 0.03973, -0.0059, -0.00908, -0.08154, -0.1279, -0.0189, -0.629, 0.67, -0.5244, -0.03308, -0.01956, 0.09344, -0.0362, 0.2207, 0.01642, 0.4004, -0.04404, 0.3281, -0.2294, 0.4988, 0.02191, -0.1965, 0.3123, 0.04175, -0.2905, 0.3274, -0.1597, -0.0224, -2.275, -0.1655, -0.2754, -0.6777, -0.0959], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2668, -0.3955, 0.3528, 1.418, -1.093, -0.1257, -0.3586, -0.1644, 0.4805, -0.882, 0.010124, 0.3035, 0.8633, -0.2795, -0.01855, 0.9976, -0.582, -0.1787, -0.03032, -0.247, -0.528, 0.06238, -0.0379, -0.5327, 0.218, -0.608, 0.04648, 0.008644, 0.08594, 0.004745, 0.3093, -0.3813, -0.599, 0.01735, -0.1824, 0.3748, -0.504, 0.3252, -0.7944, -0.3875, 0.09406, -0.4414, -0.2607, 1.204, 0.04248, -0.5747, 0.4326, -0.1987, -0.2637, -0.003736], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3408, -0.05685, 0.498, -0.2231, 0.2064, 0.2137, -0.2788, -0.4502, 0.1328, 0.482, 0.03955, 0.086, -0.4314, -0.2062, -0.01843, -0.1154, 0.4023, 0.03293, -0.0437, -0.03555, 0.2004, -0.03812, -0.04, 0.2266, 0.0753, 0.588, 0.02638, -0.2908, -0.1421, 0.0133, 0.52, -0.0776, -2.096, -0.1948, -0.03516, 0.1342, 0.2769, 0.1766, 0.1803, -0.792, 0.02644, 0.566, 0.2057, -0.2195, -0.00527, 0.2372, 0.7524, 0.549, 0.305, -0.6523], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.188, 0.2281, 0.05933, -0.441, 0.3032, 0.8276, 0.068, 0.03827, 0.4314, 0.3193, -0.05048, 0.010056, 0.6074, 0.00494, -0.02306, 0.602, 0.06143, -0.58, -0.0204, 0.158, 0.6885, -0.1486, -0.03497, -0.1509, 0.3467, 0.04477, 0.04077, 0.7925, -0.8433, 0.02698, -0.714, 0.1361, 0.1755, -0.7603, -0.011154, 0.2236, -0.2754, -0.1771, 0.07904, -0.42, 0.446, 0.1212, 0.03067, 0.2634, 0.0373, 1.091, -0.2874, -0.05603, 0.2659, -0.0931], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01495, -0.04605, -0.0457, 0.0175, -0.01055, -0.002823, -0.0004742, -0.00645, 0.01927, 0.002232, -0.02853, -0.00903, -0.03293, -0.03848, -0.003271, -0.00287, -0.005474, 0.004913, -0.02147, -0.01686, 0.02676, 0.0197, 0.03735, -0.04715, -0.005013, -0.0397, 0.001571, -0.01076, 0.01581, 0.0236, 0.00909, 0.015274, -0.05304, -0.04053, 0.03696, -0.01913, -0.00969, -0.05014, 0.0399, -0.03546, 0.01093, -0.0504, -0.02429, -0.00725, 0.04962, 0.04034, -0.03494, -0.01144, -0.04562, -0.02919], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1792, -0.2161, -0.1584, -0.002312, -0.2761, 0.5454, 0.3354, 0.0926, -0.5527, -0.2067, 8.43e-05, 0.2654, -0.02393, 0.3687, -0.01344, -0.0765, -0.2117, -0.3247, -0.03775, -0.2329, -0.03387, -0.3127, -0.02495, -0.1683, -0.085, -0.2303, 0.02321, 0.3484, 0.02469, 0.05057, -0.01331, -0.09186, 0.9854, 0.074, 0.2737, -0.08716, 0.2031, -0.3093, -0.01848, 0.2362, -0.2786, 0.2554, -0.2076, -0.34, 0.01237, 0.2252, -0.3193, -0.4714, 0.699, 0.269], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1779, -0.9805, -0.10754, -0.3708, -0.246, 0.2278, 0.1925, -0.595, -0.387, 0.64, -0.02548, 0.08105, -0.1674, -0.1404, -0.0429, -0.65, 0.552, -0.2318, -0.02553, 0.1652, -0.1857, 0.1829, -0.001637, -0.5254, -0.7686, -0.3364, 0.02393, 0.399, -0.321, -0.004467, 0.33, 0.0697, -0.5005, 0.1538, -0.1469, -0.1163, -0.244, 0.0877, 0.2362, 0.3213, 0.1864, -0.2433, -0.235, 0.2286, -0.01049, 0.10724, 0.3477, 0.368, 0.2446, 0.435], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1635, 0.7456, 0.3389, -0.4917, -0.07983, -0.001295, 0.3367, -0.2556, -0.1304, -0.318, 0.02861, 0.2622, 0.2007, -0.00953, 0.00641, -0.3125, -0.164, 0.1885, -0.04904, -0.2339, 0.08276, -0.4658, -0.0252, 0.065, 0.0974, 0.318, -0.01459, 0.2179, -0.03087, -0.03568, 0.607, 0.1685, -0.2181, 0.1315, 0.01785, -0.001727, 0.2917, 0.2162, -0.00886, 0.3242, -0.2113, 0.314, -0.584, -0.6147, -0.00306, -0.4968, -0.538, -0.539, -0.4617, -0.2168], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04767, -0.07983, 0.1887, -0.013756, -0.0339, -0.1301, -0.02069, -0.05145, 0.2231, -0.03305, 0.011116, 0.006313, 0.02744, 0.02458, 0.03232, -0.00953, 0.04617, 1.208, 0.04803, -0.015236, -0.02478, 0.0254, 0.0349, -0.0259, 0.006344, -0.005497, 0.02063, 0.02113, -0.1943, 0.01924, -0.0008945, 0.01825, -1.223, -0.001063, -0.01466, 0.03268, -0.00238, -0.04034, 0.05008, 0.006004, 0.00775, 0.0725, 0.02113, -0.0198, 0.01874, 0.09326, 0.03333, -0.1459, -0.3474, -0.0868], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3284, 0.832, -0.483, 1.143, 0.1348, -0.5654, -0.2966, 0.001448, -1.039, -0.04724, 0.027, -0.07355, 0.3076, -0.127, 0.00644, 0.03275, 0.0781, -0.3774, -0.0297, 0.06854, -0.126, 0.0631, -0.0368, 0.3467, 0.1409, 0.11957, 0.04822, -0.464, -0.9707, 0.01017, 0.1401, -0.01013, 0.3213, -0.07074, 0.2915, -0.9995, 0.3774, 0.2252, 0.5093, -0.1599, -0.01299, 0.1835, 0.288, -0.2062, -0.02008, -0.1022, 0.2502, 0.6533, -0.8516, -0.0685], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.478, 0.435, 0.1378, -0.1653, 0.516, -0.2162, -0.6323, 0.4038, 0.2578, -0.0894, -0.01139, -0.0457, 0.1873, 0.832, -0.02998, 0.7705, -0.1974, 0.246, -0.04016, -0.1636, -0.268, 0.266, -0.05032, -0.8774, 0.11633, -0.466, 0.04312, -0.1797, 0.3872, 0.005974, 0.2338, 0.668, -0.00932, -0.09625, 0.3767, 0.912, 0.3271, 0.6177, 0.8374, -2.842, -1.236, 0.1082, 0.1528, -0.267, -0.02095, -0.3103, 0.1516, -0.000953, 0.0799, 0.3499], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0152, -0.061, -0.06964, -0.02147, 0.02466, -0.06052, -0.12085, 0.00926, -0.01868, -0.0296, 0.03394, 0.007786, -0.0384, 0.02591, -0.02838, -0.01378, 0.011536, -0.0378, 0.004528, -0.001325, -0.02785, -0.01866, -0.03113, 0.02527, 0.03186, 0.00593, 0.0443, -0.0657, -0.04095, -0.01053, -0.01253, -0.01958, -0.0387, 0.02069, -0.01097, -0.0866, 0.04102, 0.0321, 0.02658, -0.00774, -0.03943, -0.01854, -0.064, 0.01599, -0.03473, 0.00446, 0.05576, 0.02026, -0.02495, -0.02252], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.093, 0.183, -0.1857, 0.18, 0.2625, -0.005615, -0.05682, -0.05347, 0.1963, 0.3652, -0.02272, -0.1771, -0.3716, -0.2096, -0.01323, -0.331, 0.2522, 0.539, 0.04233, -0.2764, -0.0043, 0.01525, 0.02284, 0.04517, -0.2345, -0.0438, 0.03812, -0.5166, 0.1077, 0.01286, -0.01515, -0.077, -0.9414, 0.08936, 0.2817, 0.07007, 0.06946, -0.05563, 0.10236, 0.3018, -0.5107, 0.00792, 0.08655, 0.4065, 0.0189, -0.2214, 0.556, -0.3481, -0.4219, 0.10596], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3574, 0.1054, 0.1548, -0.383, 0.1606, 0.412, 0.0635, 0.0954, 0.4858, -0.4934, -0.005466, 0.1699, 0.1641, 0.23, -0.0438, -0.2737, -0.4153, -0.01211, 0.006603, 0.04474, -0.4526, 0.05093, -0.01186, -0.548, -0.2725, 0.2185, 0.03262, 0.5044, 0.2878, 0.04434, 0.0737, 0.295, -0.4956, -0.4836, -0.1696, 0.437, -0.04254, 0.006626, 0.00793, -0.0841, -0.0368, 0.1764, 0.04425, -0.3396, 0.0199, 0.02309, 0.4968, -0.2861, 0.3162, 0.01517], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5225, 0.2964, -0.2302, 1.418, -0.8755, 0.1115, -0.2805, -0.4756, 0.5137, -1.979, 0.02618, -0.8257, -0.29, 0.302, -0.01634, 0.093, 0.936, -0.1503, -0.004818, 0.00745, 0.05743, -0.1948, -0.04947, -0.01755, 0.05145, -0.4192, 0.04037, 0.5566, 0.5117, -0.01715, -0.08124, -0.4517, -0.5, 0.47, -0.0572, 0.3354, -1.172, 0.5522, -0.676, -1.204, 0.248, -0.2637, 0.34, -0.214, -0.04013, -0.0909, -0.02069, 0.2291, 0.04855, 0.2062]]
[-0.417031, 0.051417, -0.1922, -0.0247399, 0.321873, 0.054872, 0.138219, -0.00863862, 0.221917, 0.279427, -0.124957, -0.401002, -0.00584683, -0.196719, -0.110633, -0.50353, -0.278268, -0.326999, -0.420536, -0.499791, -0.00274785, -0.595558, -0.247802, -0.0493604, -0.29487, 0.0196781, -0.226843, 0.323293, 0.16088, -0.0385993, -0.21826, 0.269466, 0.149888, -0.3324, 0.242362, -0.0757378, 0.171473, -0.085646, -0.125595, -0.0188447, -0.139528, 0.291113, -0.0387667, 0.31732, 0.0404408, -0.407877, -0.042978, 0.106694, 0.160088, 0.0763025, -0.417, 0.05142, -0.1923, -0.02473, 0.3218, 0.05487, 0.1382, -0.00864, 0.2219, 0.2795, -0.12494, -0.4011, -0.005848, -0.1968, -0.11066, -0.5034, -0.2783, -0.327, -0.4207, -0.4998, -0.002748, -0.5957, -0.2478, -0.04935, -0.295, 0.01968, -0.2268, 0.3232, 0.1609, -0.0386, -0.2183, 0.2695, 0.1499, -0.3325, 0.2423, -0.07574, 0.1715, -0.08563, -0.1256, -0.01884, -0.1395, 0.291, -0.03876, 0.3174, 0.04044, -0.408, -0.04297, 0.1067, 0.16, 0.0763]
ReLU
[[-1.11567, -0.924212, -0.521843, 0.0227815, 0.0764513, -0.203148, -1.24612, -0.0292247, 0.285186, -0.549943, -0.353993, 0.0893334, -0.119135, 0.295163, 0.164017, 0.0948537, -0.260037, -0.0774066, 0.0280068, -0.339323, -0.150651, -0.387736, -0.803271, 0.969518, 1.6356, -0.123767, 0.130142, 0.163134, -0.493884, 0.496601, 1.00821, -0.335275, 0.191326, -2.22625, 0.144244, -0.265619, -0.477522, -0.494592, -0.296343, -0.0311291, 0.239802, 0.30833, 0.420629, 0.369614, 0.589389, 0.531853, 0.048947, 0.109846, -0.927096, 0.0544055, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.121398, -0.405213, 0.243292, -0.0291933, -0.846766, -0.848348, 0.10727, 0.0285579, -0.0663234, 0.173819, -0.279849, 0.523405, 0.459066, 0.222627, -0.587101, -0.415797, 0.160326, 0.423738, -0.563548, 0.276248, 0.221608, -0.552477, 0.45484, 0.47862, 1.85779, 0.531883, 0.285567, 0.251202, 0.900915, 0.43771, -0.242935, -0.604633, 0.334271, -0.559206, 0.162528, -0.488937, -0.374033, -0.478184, 0.128886, 0.040997, -0.162754, -0.31569, 0.14865, -0.115924, 0.302817, -0.00259453, -0.0807253, 0.397528, -0.0781536, -0.325635, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.255425, -0.355206, 0.0151044, 0.00763654, -0.051718, -1.62266, 0.634553, -0.0284366, -0.131429, -0.591994, -0.546932, 0.387979, -0.361329, -0.0288896, -2.93802, 0.418793, -0.04525, 0.439512, 0.289494, 0.284206, -0.125437, -0.194042, 0.0262179, 0.25938, 0.898908, 0.793319, -0.275876, -0.206893, 0.214, -0.111874, -0.237687, 0.35522, -2.06831, 0.545592, -0.169492, 0.313242, 0.469998, 0.107606, -0.39367, -0.0377803, -0.167377, -0.510825, -0.195352, -0.26511, 0.304763, -0.177925, -0.0115062, -0.206122, -1.28326, 0.142709, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.494632, 0.0886792, 0.222514, -0.00678392, 0.24113, 0.174253, 0.195138, 0.0427811, 0.108037, 0.0758411, 0.160755, 0.0262804, 0.17772, -0.180412, 0.375061, -0.229299, 0.419912, -0.241623, -0.203776, -0.0992466, 0.19217, 0.156305, 0.194137, 0.251946, 0.231254, 0.0923889, -0.109476, -0.0727731, 0.529633, 0.454843, -0.058166, -0.429165, 0.0611807, 0.175833, -0.0552312, -0.544182, 0.00759868, -0.193684, -0.191578, -0.0136793, -0.201815, -0.352115, 0.0144773, 0.0721098, 0.207385, 0.400212, -0.00653733, 0.0292058, -0.530678, -0.126289, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.123671, 0.0593692, 0.219429, 0.000484106, 0.19841, -0.171474, 0.339243, -0.0174492, 0.19859, 0.200463, -0.201564, -0.109559, 0.127481, -0.237207, -0.625115, 0.131574, -0.151541, 0.129752, -0.177211, -0.0610406, 0.0301906, 0.0709891, -0.113608, 0.166593, 0.0335765, -0.0271121, -0.127799, 0.144837, 0.316226, 0.0976514, 0.175583, -0.171404, -0.829943, -0.262929, 0.103182, -0.0095443, 0.0870804, -0.0435628, -0.0208591, 0.0419614, 0.166378, -0.206254, 0.0354959, -6.04763, 0.188662, -0.317443, 0.0481589, -0.732466, -0.792451, 0.0408546, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0439142, 0.457776, -0.403575, -0.0421451, -0.830567, -0.328795, 0.633211, 0.036062, -0.337264, -0.283839, -0.110316, 0.586629, 0.465985, -0.0700001, 0.218306, 0.087612, -0.23216, 0.427661, -0.419533, 0.476555, 0.335786, -0.234405, 1.08422, -1.14365, -0.33644, 0.059, -0.11779, -0.150581, -0.0059148, 0.521717, -0.372696, 0.358526, -0.321948, -0.0707722, 0.527586, 1.02242, 0.817639, -0.196048, 0.0336367, 0.025357, 0.332608, -0.211034, -0.882542, 0.507906, -0.214869, -0.593972, 0.06155, 0.21566, 0.487248, 0.506511, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.196197, -0.477503, 0.822844, -0.00675142, 0.293359, 0.375655, 0.0907102, -0.00649922, 0.882188, -1.16894, -0.454953, -0.0866051, -0.0524841, -0.485809, -0.388264, -0.222895, -0.415524, -0.651931, 0.46575, -0.507028, -0.103907, 0.390589, -0.451621, 0.601997, -1.16505, -0.298286, 0.52404, 0.336203, -0.166093, -0.347155, 0.277545, -0.444056, -0.326273, -1.487, 0.131606, -0.562101, 0.416793, -0.642685, 0.730439, 0.0210237, -0.617721, -0.111674, -0.371215, -0.0665113, -0.0950708, 0.220543, -0.03572, 0.226073, 0.952006, -0.929131, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.130345, 0.0773796, -0.476403, -0.00474694, -0.33942, 0.365162, 0.279881, -0.047645, 0.0252139, -0.254133, -0.0197754, 0.243903, -0.162352, -0.0255565, 0.245448, 0.152969, 0.142135, 0.0171417, 0.528602, -0.26043, -0.246383, -0.30535, 0.201081, -0.0149838, -0.868708, 0.153707, -0.0801945, -0.272812, -0.309842, 0.295233, -0.493541, -0.230601, 0.21844, -0.0518231, -0.159079, 1.15801, 0.417384, -0.132471, 0.0855145, 0.0156245, 0.203246, -0.10207, 0.215027, 0.341278, 0.399532, -0.255984, 0.0179502, 0.0375734, 0.398237, 0.359204, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0857481, 0.112731, 1.26032, -0.0350801, -0.452174, -0.374379, -1.36836, 0.0391893, 0.0588924, 0.212326, -0.0155265, 0.134919, -0.113811, -0.20017, 0.287844, -0.587456, -0.493018, -0.0666098, -0.491992, 0.169261, 0.404585, 0.335834, 0.0581398, -0.133473, -1.96355, -0.206173, 0.352611, 0.283613, -0.16913, 0.528938, -0.222013, 0.303796, -0.214681, -1.23502, -0.144227, -0.341773, -1.5119, 0.483625, -0.13802, 0.00230922, 0.62365, -0.110593, 0.472171, 0.295614, 0.720733, -0.35973, 0.0281176, 0.192236, 0.397159, -2.42618, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.294134, -0.605437, -1.26344, 0.00181155, 0.22051, 0.45771, -0.467186, 0.0060908, -1.19618, 1.58666, -0.294018, 0.444002, -1.07853, 0.242525, -0.0904002, -0.790756, 0.330998, -0.95855, 0.782308, -0.521091, 0.509947, 0.157935, 0.0741213, 0.11723, -2.70925, -0.0653048, 0.487267, 0.0419018, 0.188372, -0.354558, 0.400635, -0.0838776, 0.212306, -4.19835, -0.422851, -0.203731, -1.15743, -0.0915899, -0.328834, 0.048255, 0.291295, -0.508761, 0.793955, 0.0955291, 1.4648, 0.27859, -0.0341672, 0.0469431, 1.00388, -1.47555, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0992311, -0.430119, 0.400532, -0.021508, -0.181724, 0.524186, -1.95552, -0.0429011, -0.646122, 0.731995, -0.0989886, 0.0280977, -0.223529, -0.440443, 0.40214, 0.227227, -0.0684514, 0.687112, -0.116769, 0.33378, -0.684431, -0.18248, -0.0242685, -0.070966, -1.70404, -0.165616, 0.530172, -0.513608, -0.328224, 1.08718, -0.174357, 0.236505, 0.0354532, 0.499236, 0.481011, 0.0887683, -0.56376, -0.0315205, 0.820664, 0.0100333, -0.354314, -0.10767, -0.621159, 0.236161, -0.154689, 0.934734, -0.0376384, -0.0946203, 0.403938, -0.142391, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.00530766, -0.0313663, 0.0224259, -0.0270091, -0.0583437, -0.0315552, 0.0162828, -0.0222532, -0.0402215, 0.0322572, -0.0221375, -0.0258162, -0.0346684, 0.0192582, -0.0392662, -0.00667929, -0.0107336, -0.0360657, -0.00157104, -0.0356055, 0.00359536, -0.0268798, 0.0201882, -0.0128641, 0.00168314, 0.0151714, -0.00274612, -0.042881, -0.0312671, 0.0109672, -0.0492148, 0.015137, 0.020583, 0.0108023, -0.0584262, 0.0321021, -0.0418656, 0.0324012, 0.0224548, 0.0343768, -0.0116288, -0.00670756, -0.0266617, -0.0278192, 0.0388113, -0.0454156, -0.00267391, 0.0368645, 0.0237064, 0.0403912, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.339118, 0.0183402, -0.489585, -0.0419239, -0.473584, -0.0148388, 0.141149, 0.00470031, -0.0336467, -0.396394, 0.203203, -0.0836357, -0.325239, 0.0823721, 0.0689408, 0.307728, -0.147494, 0.149991, 0.024618, 0.0915558, 0.046494, 0.109234, -0.0382622, -0.265606, 0.204218, 0.0339609, 0.0942121, 0.13466, 0.0204907, 0.0318411, -0.504779, -0.0897111, -0.238153, -0.051539, -0.0628376, 0.845364, -0.220498, -0.0267841, 0.224881, 0.0151421, 0.154215, -0.275692, -0.0334627, 0.211252, 0.299785, -0.131455, -0.0266297, 0.30342, -0.0370618, -0.135227, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.670996, -0.36157, -0.17064, -0.0124308, 0.0692815, -0.792737, 0.146476, -0.0163885, -0.0318385, 0.0665039, 0.134378, 0.000287822, 0.334083, -0.153928, 0.171328, -0.216515, -0.0600592, -0.282543, 0.224742, 0.365594, -0.0173135, 0.220939, -0.144765, 0.115874, 0.478452, 0.0741812, -0.168615, -0.176403, -0.208137, -0.0860884, -0.214358, -0.157084, -0.195178, 0.0674045, -0.513446, -1.05423, 0.551406, 0.230596, -0.194927, -0.0318562, -0.220516, -0.0611523, -0.444286, -0.285871, 0.163808, -0.373794, 0.0231277, -0.417784, -0.153443, 0.0625152, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.315369, 0.258945, 0.298826, -0.0366406, -0.156253, -0.0800468, 0.553757, 0.0350265, 0.587143, -0.318013, 0.15761, 0.317995, 0.477294, -0.238895, -0.240146, -0.26097, -0.205946, 0.29042, 0.68111, -0.0334067, 0.162485, -0.0459865, 0.16889, 0.39031, -1.09384, -0.1181, 0.376934, -0.18879, 0.0199212, -0.27712, 0.455223, 0.741571, 0.568289, -0.841637, 0.0182829, 0.0748049, 0.329404, -0.202272, 0.0372856, 0.0551399, 0.158213, 0.511789, -0.113669, -0.0742227, 0.727784, 0.387894, -0.00679783, 0.00810932, 0.0552982, -0.34972, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0257612, 0.102117, -0.0177412, -0.00851839, -0.0884402, -0.0589878, -0.223386, -0.0228069, 0.0362796, -1.19463, 0.335699, 0.201106, -0.101173, -0.369607, 0.1276, -0.043763, 0.0233779, 0.493595, -0.190983, 0.102263, 0.098413, -0.00287753, 0.228583, 0.0625524, 0.265456, 0.0821076, 0.0518178, -0.0242836, -1.07747, 0.189771, -0.63969, 0.439085, -0.187219, 0.245317, 0.269395, -0.1839, 0.121465, -0.108769, 0.141138, 0.0294475, 0.0400257, -0.0517849, -0.258029, 0.127141, 0.207323, 0.113533, 0.0334365, -0.0377002, 0.0534573, -0.201602, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.067913, -0.0337798, -0.309778, 0.0076999, -0.490301, -0.0904862, -0.324393, 0.0103741, -0.0466168, -0.0738128, -0.233949, -0.400249, 0.174057, -0.228602, 0.270302, -0.559199, -0.147493, 0.670744, 1.27142, -0.474928, 0.034646, 0.0243865, -0.318798, -0.0312373, 0.72537, -0.160079, -0.76981, -0.119881, 0.0702632, 0.22894, 0.0624298, 0.258592, -0.00280096, 0.354854, 0.278854, 1.00922, 0.0902725, 0.0558783, 0.0314614, 0.00287519, -0.182454, 0.554078, -0.12692, 0.300177, 0.498812, -0.013705, 0.0152419, 0.282353, 0.233212, 0.100237, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0835135, -0.27023, 0.292498, 0.0523765, -0.0876994, 0.234577, 0.141944, -0.00963748, 0.0413359, -0.131069, 0.172883, 0.277707, 0.0406533, 0.152126, 0.0795891, -0.151782, 0.314976, 0.029034, 0.55734, 0.0486708, -0.153112, 0.146776, 0.137053, 0.172124, -0.473189, -0.119783, -0.259036, -0.0584669, -0.215974, 0.133986, 0.185198, 0.121422, 0.216538, 0.237495, 0.106173, 0.427234, 0.00680166, 0.0595076, -0.38062, -0.00235432, 0.372359, -0.229928, 0.19595, 0.1642, 0.246757, 0.214199, -0.0238978, -0.175029, 0.285086, -0.0230339, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.178293, 0.0757313, 0.599677, 0.0454307, -0.244656, 0.348994, -0.66372, -0.00529814, -0.795188, 0.440051, -0.265932, 0.049772, -0.587911, -0.161196, -0.172279, 0.266236, 0.0509076, 0.20865, 0.24912, 0.154715, 0.415063, 0.361905, -0.224261, 0.368756, -0.197308, -0.110745, -0.116119, -0.0510365, -0.252066, -0.105333, -0.879689, -0.779439, 0.221546, -0.179288, 0.269265, 0.0818491, -1.02885, 0.271979, -0.0751955, 0.0244488, 1.46812, 0.0399909, 0.343637, 0.56508, -1.28389, -0.0528213, 0.0315673, 0.50007, 0.254222, -1.13924, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.133258, 0.318447, -0.428396, 0.0238298, 0.294107, 0.195813, 0.174555, 0.0330678, 0.164681, 0.0418133, -0.0955831, -0.290655, 0.0626053, 0.0679066, -0.0850193, -0.297022, -0.00870182, -0.452933, 0.0423838, -0.104612, 0.154484, 0.0556516, -0.234872, 0.193896, -0.140509, -0.0952591, 0.0607357, -0.0319198, 0.144843, -0.515422, 0.212072, 0.419848, 0.0756576, 0.305646, 0.027111, -0.404547, 0.0656436, -0.0633197, -0.190582, 0.051405, 0.111726, 0.288329, 0.15419, -0.570785, -0.0895338, 0.228742, 0.0307699, -0.137907, -0.0564132, 0.00661509, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.24867, 0.184436, -0.658575, -0.0264567, -0.763518, 0.758345, 0.0618636, -0.0231029, -0.117159, -3.34853, 0.268928, -0.282217, 0.0146747, -3.70348, 0.0386696, -2.13821, 0.100974, 0.819138, 0.492749, -0.486539, -0.222376, 0.456159, 0.588569, 0.378613, 0.454563, 0.218674, -0.258894, 0.230965, 0.331267, 0.379396, -3.01061, 0.94098, 0.386678, -1.11798, -0.359612, -0.541144, -0.0375493, -0.0220249, -3.80892, -0.0330908, 0.204541, 0.0117877, 0.260062, 0.0661999, -0.786393, -0.596338, 0.0591316, -0.00392301, -1.87846, 0.176156, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.166167, 0.191057, -0.301647, -0.00777869, -0.397186, -0.214605, -0.108665, -0.0416353, -0.211711, 0.303263, 0.161531, 0.590021, 0.14377, -0.0995274, -0.213868, -0.359632, 0.192818, 0.136675, 0.882288, 0.249041, 0.365008, -0.285573, 0.500172, -0.0405599, 0.292725, 0.0923114, -0.31421, -0.0287837, -0.239874, 0.136721, -0.119426, 0.0533723, 0.421272, 0.0104842, 0.549217, 0.00564992, -0.170276, -0.367338, -0.00686154, -0.0140322, -0.0726686, 0.136904, 0.183317, -0.0822562, 0.47845, -1.81569, -0.0276924, -0.391128, 0.234765, -0.0242392, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.371604, -0.13671, -0.908167, -0.031029, -0.0109554, -0.226855, -0.335686, -0.0410026, -1.29539, -0.0971212, 0.320904, 0.0546383, -0.775378, 0.496124, -0.383545, -0.392832, 0.0186564, 0.0826111, -0.99743, 0.89394, 0.30368, -0.41097, 0.190913, -0.467783, 1.14452, 0.0934749, -0.604779, 0.0651228, 0.0455566, -0.0347253, -0.508444, 0.0785607, -0.0506809, 1.07685, -0.213968, 0.210745, -0.905229, 0.124339, -1.0993, -0.0398935, -0.514367, 0.019416, 0.017369, 0.308619, 0.746934, -0.0737938, 0.0141961, -0.335049, -1.01969, 0.637405, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0548709, -0.0673731, 0.239655, 0.00790127, -0.108436, -0.647922, 0.276205, -0.0175978, -0.0508213, -0.238456, -0.714688, 0.15329, 0.272853, -0.210426, 0.87356, -0.410298, -0.285917, 0.737193, -0.575498, 0.153224, 0.269487, -0.344167, -0.328988, -0.0711287, 0.181086, -0.128136, 0.112304, 0.224696, 0.0746738, -0.137312, 0.577555, -0.0174616, 0.279575, -0.431497, 0.626356, 0.284565, 0.541628, -0.0996689, 0.0944674, -0.0560005, -0.488009, -0.248924, -0.269006, 0.175203, -0.0713184, 0.146688, -0.0566741, -0.287847, -0.0187157, -0.449965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0434099, 0.349426, -1.07648, -0.0406116, -0.176856, -0.028157, 0.500907, 0.0200546, -0.997694, -0.0813256, -0.165555, -0.388194, -0.521065, 1.10553, -0.152662, 0.153275, -0.150636, -0.329665, -1.16703, 0.845231, 0.54527, -0.553128, 0.0347943, -0.419831, 0.962291, -0.0833603, -0.629453, 0.0153768, 0.0934452, -0.202004, -0.214424, -0.0852804, 0.0593292, 0.941564, 0.0964312, 0.573978, -0.982898, 0.370974, -0.923479, 0.0241428, -0.843825, -0.208564, 0.11893, 0.26997, 0.814475, -0.388304, 0.0246233, -0.0533935, -0.919801, 0.743091, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.407405, 0.514136, -0.370975, -0.0174272, -0.146072, 0.0610216, 0.0658489, -0.0169842, 0.429152, 0.390887, 0.534865, -0.330813, -0.123444, 0.0103521, 0.492153, -0.663076, -0.402602, 0.170591, -0.217547, 0.00642494, 0.266934, -0.0295711, -0.432666, 0.112844, 0.292608, -0.284256, -0.00674895, 0.0340233, -0.0754906, 0.240362, 0.313551, 0.0414655, 0.246827, 0.107979, -0.0333002, 0.70303, -0.254844, 0.041244, 0.0325466, 0.0492028, -0.246598, 0.0258838, 0.021735, -0.256647, 0.233642, -0.237672, 0.0342247, 0.0487823, 0.375481, 0.285747, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.154144, -0.0134453, 0.151586, 0.0233927, 0.183418, -0.38314, -0.0503427, 0.0117836, -0.152767, -0.0184202, -0.274787, 0.0873877, -0.385001, 0.115905, -0.0950918, -0.0616893, -0.58776, 0.130473, 0.121154, -0.0939388, -0.294899, -0.0559934, -0.307793, -0.167408, -0.407239, -0.0249459, 0.142098, -0.0762738, -0.168796, -0.559908, 0.102743, 0.331334, 0.147371, -0.00730157, -0.42069, -0.166093, 0.144434, -0.0452718, 0.164271, 0.0286586, 0.140985, 0.502816, 0.0336067, -0.251126, 0.00662955, -0.536153, -0.0535927, -0.383201, 0.146336, 0.0272374, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.103797, -0.0828939, -0.0815057, 0.0085882, -0.00059002, 0.764761, 0.461024, 0.0385594, -0.224413, -0.15554, 0.355425, 0.210901, 0.657377, 0.138499, -0.392327, -0.516517, 0.00513034, 0.141022, 0.0661295, 0.0623628, -0.257312, 0.0754663, -0.320901, -0.141474, -1.61463, 1.00161, -0.023869, 0.0880138, -0.218015, -0.948722, -0.0580404, -0.0787043, 0.413612, -0.388459, 0.238599, 0.470575, 0.0565274, -0.108757, -0.0781622, -0.0305494, 0.849811, 0.443795, -0.471077, -0.138403, -3.07763, -0.368492, 0.0279097, 0.221814, 0.135782, -0.128008, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.325807, -0.239028, -0.267763, 0.0141379, -0.107799, 0.198286, 0.310476, 0.0500755, -0.26447, -0.18495, -0.098872, 0.208869, -0.328913, -0.068802, 0.496011, -0.403633, 0.19894, 0.0845222, -0.593487, 0.165431, 0.357553, -1.08011, 0.0384915, -0.402015, -2.65499, 0.3356, -0.215595, -0.307639, 0.228327, 0.496817, -0.567021, -0.448025, 0.175359, -0.225546, 0.3356, -0.136353, -0.177634, -0.0356594, 0.142982, -0.0141246, -0.407267, -0.0144282, 0.0985561, 0.187984, 0.349906, 0.0161637, -0.0208952, 0.354715, -0.400387, 0.187371, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.291874, 0.0817463, 0.0509188, -0.0218625, 0.0443103, -0.119479, -0.0272245, 0.0286251, 0.053248, 0.397283, 0.00650742, -0.0649618, -0.17813, -0.0169145, 0.265213, -0.100093, -0.00623344, 0.14348, -0.0898817, 0.0623432, 0.297975, -0.011824, -0.212266, 0.0929677, 0.290293, -0.169038, 0.0529603, -0.0929691, 0.152188, -0.159369, 0.0118847, 0.0198817, -0.363224, 0.0535729, 0.362769, 0.433863, 0.172061, 0.165209, 0.0250466, -0.0534219, -0.107437, -0.349692, 0.213878, -0.260226, -0.402445, -0.230272, 0.055191, -0.277802, 0.127434, 0.184189, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0680158, -0.165352, 0.595142, -0.00359383, 0.233284, -0.852028, -0.0408278, 0.0319116, 0.0887319, -0.130435, -0.328925, 0.436514, 0.0954326, -0.491327, 0.00752771, -0.0447455, 0.0455716, 0.52173, -0.204971, 0.0291122, -0.0402362, 0.0484851, -0.0303023, -0.227562, -0.197022, 0.140558, -0.0995859, -0.139973, 0.315773, -0.163172, 0.425214, -0.709791, -0.702719, -0.630197, 0.0788549, -0.493638, 0.423548, 0.0162756, 0.115934, 0.00968816, -0.622968, 0.0143751, 0.407246, -0.222195, 0.220347, 0.0104697, 0.0385991, -0.341979, -0.0562181, 0.184402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.261607, -0.415022, 0.0245252, 0.0180553, 0.0397072, 0.534731, 0.44908, -0.048433, -0.171968, -2.22366, 0.389874, -0.472414, -0.219399, -0.233301, -0.111862, 0.160169, 0.00766099, -0.569483, -0.513602, 0.242542, -0.188972, -0.309639, -0.195103, 0.0110915, -5.24393, -0.100947, 0.137619, 0.0317559, 0.13671, 0.257832, -1.46744, 0.200896, 0.499729, 0.976045, 0.0147804, 2.18345, -1.21433, 0.257452, -0.212999, -0.044428, 0.0771251, -0.8681, -0.360239, 0.815407, 0.934429, -0.582602, 0.0569461, 0.0417861, -0.00257175, 0.120593, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.12575, 0.216469, -1.09633, 0.0127066, 0.0526502, -0.165158, -0.141702, -0.0320104, -0.564955, 0.37284, -0.264064, -0.346648, -0.283131, 0.4241, 0.113477, -0.0377386, -0.259574, 0.252005, -0.58088, 0.595095, 0.276125, -0.575305, 0.18492, -0.213546, 0.463659, 0.0251885, -0.494345, -0.0399306, 0.178579, 0.354284, -0.176448, 0.0905205, -0.0217903, 0.902687, -0.0934694, 0.28383, -0.451442, 0.41791, -1.04768, 0.0497602, 0.205594, 0.0324426, -0.417287, 0.0388699, -0.403433, -0.454814, -0.015619, 0.006209, -0.799873, 0.941713, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.158205, 0.224026, -0.458511, 0.0478135, 0.371571, -0.00979367, 0.107193, -0.0196049, 0.844559, 0.515815, 0.114647, -0.855111, 0.156286, 0.210481, 0.233523, -0.524804, 0.0915196, -0.58671, -0.276729, -0.290316, 0.293296, 0.392116, -0.325336, 0.57331, -0.0692417, -0.252277, 0.0697107, 0.224869, 0.321296, 0.157833, 0.48351, 0.16059, -0.290916, 0.129555, -0.062046, 0.0427571, 0.335707, -0.367443, -0.294728, -0.0344835, 0.129243, -0.729393, 0.280763, 0.668982, 0.404265, -0.160912, -0.0372068, 0.384863, -0.204356, 0.161771, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.00988838, -0.0483183, -0.0128672, 0.0193328, -0.0475255, 0.0149405, -0.030733, 0.0434067, -0.0130028, -0.0381377, 0.0382285, 0.0165445, -0.0534618, -0.0446895, 0.0312904, 0.0196066, -0.0128241, -0.0351584, -0.0214158, 0.0143426, 0.0221579, 0.0138044, -0.0196467, 0.0424343, -0.0125905, 0.0285525, -0.00370617, -0.0238977, 0.00862495, 0.0227053, -0.0258692, -0.00112635, 0.00265555, -0.00179285, -0.0343519, 0.012799, -0.0279352, -0.0269281, -0.0317992, -0.0394214, -0.0315397, -0.0559445, -0.00892285, -0.0212396, -0.0138644, -0.0346668, -0.00298142, 0.0250683, -0.0306751, -0.0464686, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.179499, -0.0468659, -0.116925, 0.0539063, 0.736181, 0.0372923, 0.283603, 0.0369406, 0.426412, 0.176974, 0.0904055, -0.57799, 0.434188, 0.0816559, 0.378253, 0.111309, -0.179792, -0.271029, -0.0481402, -0.411723, 0.0819556, 0.176582, -0.272028, 0.431197, 1.09346, 0.00285289, 0.0801196, -0.0873081, 0.497201, 0.192878, -0.0060935, 0.214003, -0.234542, -0.22797, 0.328237, -0.0849555, 0.0339725, 0.00909318, -0.117619, -0.0293268, 0.315902, 0.251872, 0.260018, 0.734776, -0.313002, 0.41655, -0.00834513, 0.475969, -0.303299, -0.0135963, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.222943, 0.300067, -0.157766, 0.0393109, -0.250445, -0.171459, -0.296109, 0.0221599, -0.897602, 0.0604786, 0.502512, 0.243823, -0.175904, -0.351397, 0.335492, -0.045867, 0.441709, 0.274682, 0.217969, 0.14874, -0.138318, -0.370593, -0.67222, 0.040546, -0.11853, 0.158594, -0.497386, -0.2193, 0.283762, 0.591541, -0.486088, -0.385581, 0.554908, -0.763945, 0.322823, 0.281891, 0.0341244, -0.149771, 0.127374, -0.0308673, 0.882055, -0.113486, -0.122216, 0.525582, 0.881858, -0.101763, -0.0210686, 0.118207, -0.808997, 0.0705775, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.197196, -0.0647173, -0.00868032, 0.0248925, 0.103314, 0.327506, -0.161635, 0.0196318, -0.0135924, -0.671925, -0.339518, 0.21791, 0.0544303, 0.127107, -0.392956, 0.113989, -0.309561, -0.0526905, -0.0729009, -0.0149146, -0.0687291, -0.165615, 0.305981, -0.243883, -0.403958, 0.295377, -0.03648, 0.0242885, 0.00525839, -0.31146, 0.202306, 0.560228, -0.290545, 0.281651, -0.177661, -0.450698, 0.210752, 0.146855, 0.0105022, -0.037671, -0.0401075, 0.0539746, -0.0751715, -1.99247, -0.450967, 0.574913, -0.0772326, -0.676102, -0.0412128, -0.0463311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0309505, -0.00465185, 0.00277806, 0.019353, -0.0263297, -0.048693, -0.042493, -0.00364753, -0.0287253, -0.0453594, 0.0237063, -0.0117222, 0.016325, 0.0384917, 0.000846596, -0.0286232, 0.0263864, -0.0372681, -0.0287162, -0.00469673, -0.0339617, -0.0372421, 0.0314946, 0.00861508, 0.0351785, -0.00968061, 0.0319969, -0.0551983, 0.011812, -0.0152276, 0.0415899, -0.0550644, -0.0681912, -0.00863937, -0.0334806, 0.0215568, -0.0267397, 0.0272578, -0.0334247, -0.00401226, 0.00837946, -0.042893, 0.0127833, 0.0261622, -0.0166724, -0.0555052, 0.0393163, -0.0474006, 0.0328365, -0.0239599, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0111277, 0.205031, -0.244589, -0.0469311, 0.205461, -1.3582, 0.468444, -0.0293949, 0.29348, 0.423194, -0.4676, -0.0972756, 0.122291, 0.442754, 1.15708, -0.200584, -0.263184, -0.00930816, -0.441779, 0.329669, 0.243212, -0.368575, -0.517386, 0.111212, 0.751595, -1.09683, -0.221392, 0.195526, 0.0460176, 1.24536, 0.4111, 0.376785, 0.00720396, -0.03576, -0.0696961, 0.851141, 0.331769, -0.34095, -0.0957218, -0.00874901, -0.691932, -0.584087, 0.642117, -2.50212, 0.958248, 0.380393, 0.0172869, -0.107535, -0.911042, 0.116228, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.222114, -0.0764163, -0.213553, -0.0341556, 0.274514, 0.863946, 0.367113, -0.0128813, -0.0662072, -0.0247146, 0.109002, -0.342896, -0.0316422, 0.32887, -0.308557, 0.367826, 0.122939, -0.575707, 0.133133, -0.299934, -0.119578, 0.11109, -0.259696, -0.00198905, -1.15762, -0.359996, 0.0380501, 0.117138, 0.399095, 0.196665, 0.0710153, -0.00131891, 0.244557, -0.340954, -0.187676, 0.0688335, -0.176749, -0.154764, -0.0762934, 0.0515319, -0.405805, 0.0564175, 0.249299, 0.225402, -0.0295215, -0.233412, -0.00480004, 0.226196, -0.260837, 0.265282, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.227386, -0.285874, 0.293315, -0.0271374, -0.3985, -0.24956, -0.277626, -0.0514744, -0.00540279, -0.686302, -0.101727, -0.0897119, -0.206334, -0.337046, 0.340354, 0.0479719, 0.199694, 0.409333, -3.46913, 0.0388109, -0.0494998, -0.0478782, 0.0710402, -0.710744, -0.656121, 0.137492, -0.185144, -0.201781, -0.0354483, -0.264346, -0.203945, -0.0325964, -0.246523, 0.0537897, 0.234978, 0.0508368, 0.416635, -0.029214, 0.362419, -0.0452845, -0.145256, 0.476715, -0.79933, 0.153831, 0.120568, -0.0205801, 0.00130219, 0.254844, -0.367431, 0.337231, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.846123, 0.512168, -0.747198, -0.0252148, -0.321388, -1.15199, 0.497767, -0.0401556, 0.0750473, 0.663272, -0.271022, -0.132961, 0.0363366, 0.0744655, 0.222553, -0.676698, 0.225782, -0.098469, 0.558365, 0.250985, 0.0213322, -0.0555657, -0.359501, 0.559946, -0.86566, 0.135618, -0.105113, 0.638714, -0.358786, 0.027796, -0.414534, 0.621372, -0.289691, 0.731317, -0.271312, -0.359415, 0.261428, -0.21815, 0.114124, -0.047355, -0.394432, -0.0849835, -0.394754, -0.045374, -0.155693, 1.05832, 0.00194112, 0.331408, -0.105247, 0.329014, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0829948, -0.167614, 0.346297, 0.00847016, 0.203361, 0.133757, -0.152683, 0.0158116, -0.149302, -0.468059, 0.0420623, 0.0599946, 0.127315, -0.0930517, -0.621913, 0.0384255, -0.0936553, -0.269666, -0.150362, -0.179126, -0.0345478, -0.260922, 0.191376, -0.286403, -0.269184, 0.564497, 0.0345952, -0.0785579, -0.347121, 0.158322, 0.106481, 0.270506, -0.191886, 0.123643, -0.0931396, -0.414623, 0.152582, 0.0884248, 0.119784, -0.0411981, 0.567106, 0.299101, -0.408705, -0.192144, 0.518085, 0.313889, -0.0244567, -0.252879, 0.280579, -0.0170017, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0907891, -0.547415, 0.130509, 0.013252, 0.0758857, -0.124863, -0.156364, -0.0448324, 0.303428, 0.547164, 0.195203, -0.158623, 0.199864, -0.340756, 0.170978, -0.430976, -0.0546965, 0.0570748, 0.482539, -0.0903257, -0.0103571, 0.0367297, 0.309609, 0.228564, -0.301573, 0.230437, -0.0994885, -0.251507, 0.329732, 0.304812, 0.320911, -0.485288, -0.115492, -0.129808, 0.154139, 0.747077, 0.139013, -0.0114223, -0.0723271, 0.0403887, -0.484781, -0.279603, -0.327815, 0.478041, 0.00402284, 0.708367, 0.014423, -0.106965, -0.472192, -0.229713, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.243818, -0.323775, -0.112439, 0.00658753, -0.0137223, -0.163254, 0.130576, -0.0105201, -0.0289345, 0.0216528, -0.160181, 0.102641, -0.229748, -0.211951, 0.412168, 0.0146267, -0.13516, 0.103062, -1.12504, -0.00904068, -0.213137, -0.0560762, -0.586474, -0.0924267, -0.133012, 0.301165, -0.221594, -0.0272284, 0.430504, 0.157923, -0.868767, -0.581235, -0.207575, -0.692258, 0.185184, 0.107434, 0.0704068, -0.128816, 0.261701, 0.00943402, -0.371559, 0.0266082, -0.0793026, -0.16453, -0.244125, 0.372669, -0.000492261, -0.0777141, -0.115863, 0.0502693, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0848944, -0.124903, -0.218115, 0.0116348, 0.301659, -0.747778, 0.115364, -0.0320132, 0.223272, 0.113717, -0.066488, -0.674163, 0.336406, 0.0173761, 0.13793, -0.0213494, -0.16375, -0.226265, -0.209987, -0.251561, -0.237082, 0.0744753, -0.153267, 0.127749, 0.419809, 0.0273823, 0.0118742, 0.351185, -0.133016, 0.51216, -0.0553239, 0.206278, 0.332216, -0.0792793, -0.113183, 0.260698, -0.0628589, 0.0422551, -0.0948057, -0.0389373, -0.102858, -0.314807, 0.219218, -0.312974, -0.535124, -0.108287, -0.0195647, 0.399039, -0.069824, 0.0713915, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.169124, 0.159363, 0.193869, 0.029613, -0.356597, 0.489914, -0.0475839, 0.0100973, -0.263982, 0.047985, 0.0738515, 0.225341, -0.235421, -0.0502284, -0.138769, 0.0482624, 0.20287, -0.0636183, -0.565947, 0.156932, -0.0232491, -0.229859, 0.132397, -0.168474, -0.07391, -0.00389707, -0.0725382, -0.30743, 0.0585222, 0.136505, 0.191437, 0.126458, 0.0655761, -0.112331, -0.0312002, 0.263963, -0.220991, -0.0811116, 0.167819, -0.0397565, -0.352634, 0.109288, 0.137218, 0.369831, -0.273495, -0.0593815, 0.0435805, 0.04015, 0.148408, -0.0391311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.606568, -0.0623582, 0.52536, -0.0105789, 0.526847, -0.640969, -0.269247, -0.0210231, 0.78218, -0.24389, 0.398795, -0.864196, -0.162141, -0.296564, 0.275922, 0.643985, -0.546982, 0.561747, -0.276705, -0.536362, 0.117457, 0.267504, -0.12012, 0.660573, 0.699859, 0.16261, 0.131983, 0.18825, 0.401832, -0.0600885, 0.142887, -0.414587, -1.80397, -0.627262, 0.210611, 0.276228, 0.190834, -0.26915, 0.244038, -0.0162641, 0.153888, -0.0885213, -0.230945, -0.16039, -1.22294, -0.46728, -0.0833652, 0.194325, -0.137659, 0.533523, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.573967, 0.327195, 0.168477, 0.0266032, -0.0756883, 0.142731, 0.0985501, 0.0276023, -0.10739, -0.311167, -0.795061, 0.569246, -0.0781543, 0.104419, -0.0481999, 0.00563388, 0.589964, -0.472562, 0.647121, 0.131063, -0.105519, -0.391426, 0.51227, -0.234712, -1.28093, -0.105971, 0.397051, -0.316932, -0.00911916, -0.26119, 0.374384, -0.241509, 0.176749, -0.116202, -0.620049, -0.321013, -0.132767, -0.242824, 0.0670327, 0.0497738, 0.535633, 0.796422, 0.0526743, -0.147667, -0.205457, 0.4374, -0.000129728, -0.641538, -0.363006, -0.164041, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.115, -0.9243, -0.522, 0.02278, 0.0765, -0.2031, -1.246, -0.02922, 0.2852, -0.55, -0.354, 0.08936, -0.11914, 0.2952, 0.1641, 0.09485, -0.26, -0.0774, 0.028, -0.3394, -0.1506, -0.3877, -0.803, 0.9697, 1.636, -0.1238, 0.1301, 0.1631, -0.494, 0.4966, 1.008, -0.3352, 0.1913, -2.227, 0.1443, -0.2656, -0.4775, -0.4946, -0.2964, -0.03113, 0.2397, 0.3083, 0.4207, 0.3696, 0.5894, 0.5317, 0.04895, 0.10986, -0.9272, 0.0544], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1214, -0.4053, 0.2433, -0.02919, -0.8467, -0.848, 0.1073, 0.02856, -0.06635, 0.1738, -0.2798, 0.5234, 0.459, 0.2227, -0.587, -0.4158, 0.1603, 0.4238, -0.5635, 0.2764, 0.2216, -0.5522, 0.4548, 0.4785, 1.857, 0.5317, 0.2856, 0.2512, 0.901, 0.4377, -0.2429, -0.6045, 0.3342, -0.559, 0.1625, -0.489, -0.374, -0.4783, 0.1289, 0.041, -0.1627, -0.3157, 0.1487, -0.1159, 0.3027, -0.002594, -0.08075, 0.3975, -0.0781, -0.3257], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2554, -0.3552, 0.01511, 0.007637, -0.05173, -1.623, 0.635, -0.02844, -0.1315, -0.592, -0.547, 0.388, -0.3613, -0.02888, -2.938, 0.4187, -0.04526, 0.4395, 0.2896, 0.2842, -0.1255, -0.1941, 0.02621, 0.2593, 0.899, 0.7935, -0.276, -0.2069, 0.214, -0.1119, -0.2377, 0.3552, -2.068, 0.5454, -0.1694, 0.3132, 0.47, 0.1076, -0.3936, -0.03778, -0.1674, -0.5107, -0.1953, -0.2651, 0.3047, -0.178, -0.011505, -0.2062, -1.283, 0.1427], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.4946, 0.0887, 0.2225, -0.006783, 0.2411, 0.1742, 0.1952, 0.0428, 0.10803, 0.07587, 0.1608, 0.02628, 0.1777, -0.1804, 0.375, -0.2292, 0.42, -0.2416, -0.2037, -0.09924, 0.1921, 0.1562, 0.1941, 0.252, 0.2312, 0.0924, -0.1095, -0.07275, 0.53, 0.4548, -0.05817, -0.4292, 0.0612, 0.1758, -0.05524, -0.544, 0.0076, -0.1937, -0.1915, -0.01368, -0.2018, -0.352, 0.01448, 0.0721, 0.2074, 0.4001, -0.00654, 0.0292, -0.531, -0.1263], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12366, 0.05936, 0.2195, 0.000484, 0.1984, -0.1715, 0.3394, -0.01746, 0.1986, 0.2004, -0.2015, -0.10956, 0.1274, -0.2372, -0.625, 0.1316, -0.1515, 0.1298, -0.1772, -0.06104, 0.0302, 0.071, -0.1136, 0.1666, 0.03357, -0.02711, -0.1278, 0.1449, 0.3162, 0.09766, 0.1755, -0.1714, -0.83, -0.263, 0.1032, -0.009544, 0.0871, -0.04355, -0.02086, 0.04196, 0.1664, -0.2063, 0.0355, -6.047, 0.1887, -0.3174, 0.04816, -0.7324, -0.7925, 0.04086], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0439, 0.4578, -0.4036, -0.04214, -0.8306, -0.3289, 0.6333, 0.03607, -0.3372, -0.284, -0.1103, 0.5864, 0.466, -0.07, 0.2183, 0.0876, -0.2322, 0.4277, -0.4194, 0.4766, 0.3357, -0.2344, 1.084, -1.144, -0.3364, 0.059, -0.1178, -0.1506, -0.005917, 0.5215, -0.3728, 0.3586, -0.322, -0.0708, 0.5273, 1.022, 0.818, -0.196, 0.03363, 0.02536, 0.3325, -0.211, -0.8823, 0.508, -0.2148, -0.5938, 0.06155, 0.2157, 0.4873, 0.5063], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1962, -0.4775, 0.8228, -0.006752, 0.2935, 0.3757, 0.0907, -0.0065, 0.8823, -1.169, -0.4548, -0.0866, -0.0525, -0.4858, -0.3882, -0.2229, -0.4155, -0.652, 0.4658, -0.507, -0.1039, 0.3906, -0.4517, 0.602, -1.165, -0.2983, 0.524, 0.3362, -0.1661, -0.3472, 0.2776, -0.444, -0.3262, -1.487, 0.1316, -0.562, 0.4167, -0.6426, 0.7305, 0.02103, -0.6177, -0.1117, -0.371, -0.0665, -0.0951, 0.2206, -0.0357, 0.2261, 0.952, -0.929], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1304, 0.0774, -0.4763, -0.004745, -0.3394, 0.3652, 0.2798, -0.04764, 0.0252, -0.2542, -0.01978, 0.2439, -0.1624, -0.02556, 0.2455, 0.153, 0.1421, 0.01714, 0.529, -0.2605, -0.2463, -0.3054, 0.201, -0.014984, -0.8687, 0.1537, -0.0802, -0.2727, -0.3098, 0.2952, -0.4937, -0.2306, 0.2184, -0.05182, -0.159, 1.158, 0.4175, -0.1324, 0.0855, 0.01563, 0.2032, -0.10205, 0.2151, 0.3413, 0.3994, -0.256, 0.01794, 0.03757, 0.3982, 0.3591], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08575, 0.11273, 1.261, -0.0351, -0.4521, -0.3743, -1.368, 0.03918, 0.0589, 0.2123, -0.015526, 0.1349, -0.11383, -0.2002, 0.2878, -0.5874, -0.493, -0.0666, -0.492, 0.1693, 0.4045, 0.336, 0.05814, -0.1334, -1.964, -0.2062, 0.3525, 0.2837, -0.1692, 0.529, -0.222, 0.3037, -0.2147, -1.235, -0.1443, -0.3418, -1.512, 0.4836, -0.1381, 0.00231, 0.6235, -0.1106, 0.4722, 0.2957, 0.7207, -0.3596, 0.02812, 0.1923, 0.3972, -2.426], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2942, -0.6055, -1.264, 0.001812, 0.2205, 0.4578, -0.4673, 0.006092, -1.196, 1.587, -0.294, 0.444, -1.078, 0.2426, -0.0904, -0.7905, 0.331, -0.9585, 0.782, -0.521, 0.51, 0.158, 0.0741, 0.11725, -2.709, -0.0653, 0.4873, 0.0419, 0.1884, -0.3545, 0.4006, -0.08386, 0.2123, -4.2, -0.4229, -0.2037, -1.157, -0.0916, -0.3289, 0.04825, 0.2913, -0.509, 0.794, 0.0955, 1.465, 0.2786, -0.03418, 0.04694, 1.004, -1.476], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09924, -0.4302, 0.4006, -0.02151, -0.1818, 0.5244, -1.955, -0.0429, -0.646, 0.732, -0.099, 0.02809, -0.2235, -0.4404, 0.402, 0.2272, -0.0685, 0.687, -0.11676, 0.3337, -0.6846, -0.1825, -0.02426, -0.071, -1.704, -0.1656, 0.5303, -0.5137, -0.3281, 1.087, -0.1743, 0.2365, 0.03546, 0.4993, 0.481, 0.08875, -0.564, -0.03152, 0.821, 0.01003, -0.3542, -0.10767, -0.621, 0.2362, -0.1547, 0.9346, -0.03763, -0.0946, 0.404, -0.1423], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005306, -0.03137, 0.02243, -0.02701, -0.05835, -0.03156, 0.01628, -0.02225, -0.04022, 0.03226, -0.02214, -0.02582, -0.03467, 0.01926, -0.03928, -0.00668, -0.010735, -0.03607, -0.001571, -0.0356, 0.003595, -0.02689, 0.02019, -0.01286, 0.001683, 0.015175, -0.002747, -0.04288, -0.03128, 0.01096, -0.04922, 0.01514, 0.02058, 0.0108, -0.05844, 0.0321, -0.04187, 0.0324, 0.02246, 0.03436, -0.01163, -0.006706, -0.02666, -0.02782, 0.03882, -0.0454, -0.002674, 0.03687, 0.02371, 0.0404], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.339, 0.01834, -0.4895, -0.04193, -0.4736, -0.01484, 0.1411, 0.0047, -0.03366, -0.3965, 0.2032, -0.0836, -0.3252, 0.0824, 0.069, 0.3076, -0.1475, 0.15, 0.02461, 0.09155, 0.0465, 0.10925, -0.03827, -0.2656, 0.2042, 0.03397, 0.09424, 0.1346, 0.0205, 0.03183, -0.505, -0.0897, -0.2382, -0.05154, -0.06287, 0.845, -0.2205, -0.02678, 0.2249, 0.015144, 0.1542, -0.2756, -0.03348, 0.2113, 0.2998, -0.1315, -0.02663, 0.3035, -0.03705, -0.1353], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.671, -0.3616, -0.1707, -0.01243, 0.0693, -0.793, 0.1465, -0.01639, -0.03183, 0.0665, 0.1344, 0.0002878, 0.334, -0.1539, 0.1714, -0.2166, -0.06006, -0.2825, 0.2247, 0.3655, -0.01732, 0.221, -0.1448, 0.11584, 0.4785, 0.07416, -0.1686, -0.1764, -0.2081, -0.08606, -0.2144, -0.1571, -0.1952, 0.0674, -0.5137, -1.055, 0.5513, 0.2306, -0.195, -0.03186, -0.2205, -0.06116, -0.4443, -0.286, 0.1638, -0.3738, 0.02313, -0.4177, -0.1534, 0.0625], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3154, 0.259, 0.2988, -0.03665, -0.1562, -0.08, 0.5537, 0.03503, 0.587, -0.318, 0.1576, 0.318, 0.4773, -0.2389, -0.2401, -0.261, -0.2059, 0.2905, 0.681, -0.03342, 0.1625, -0.046, 0.169, 0.3904, -1.094, -0.1181, 0.377, -0.1888, 0.01993, -0.277, 0.4553, 0.7417, 0.5684, -0.842, 0.01828, 0.0748, 0.3293, -0.2023, 0.0373, 0.05515, 0.1582, 0.5117, -0.11365, -0.0742, 0.728, 0.388, -0.006798, 0.00811, 0.0553, -0.3496], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02576, 0.1021, -0.01775, -0.00852, -0.08844, -0.059, -0.2234, -0.02281, 0.0363, -1.194, 0.3357, 0.201, -0.1012, -0.3696, 0.1276, -0.04376, 0.02338, 0.4937, -0.191, 0.10223, 0.0984, -0.002878, 0.2286, 0.06256, 0.2654, 0.0821, 0.05182, -0.02428, -1.077, 0.1898, -0.6396, 0.439, -0.1873, 0.2454, 0.2693, -0.184, 0.12146, -0.10876, 0.1411, 0.02945, 0.04004, -0.0518, -0.258, 0.1272, 0.2073, 0.1135, 0.03345, -0.0377, 0.05347, -0.2017], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06793, -0.03378, -0.3098, 0.007698, -0.4902, -0.0905, -0.3245, 0.010376, -0.04663, -0.0738, -0.234, -0.4001, 0.1741, -0.2286, 0.2703, -0.559, -0.1475, 0.671, 1.271, -0.4749, 0.03464, 0.02438, -0.3188, -0.03123, 0.7256, -0.16, -0.77, -0.1199, 0.07025, 0.2289, 0.06244, 0.2585, -0.002802, 0.3547, 0.2788, 1.009, 0.0903, 0.05588, 0.03146, 0.002874, -0.1825, 0.554, -0.127, 0.3003, 0.4988, -0.0137, 0.01524, 0.2825, 0.2332, 0.1002], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0835, -0.2703, 0.2925, 0.05237, -0.0877, 0.2346, 0.142, -0.009636, 0.04132, -0.1311, 0.1729, 0.2776, 0.04065, 0.1521, 0.0796, -0.1517, 0.315, 0.02904, 0.557, 0.04868, -0.1531, 0.1467, 0.1371, 0.1721, -0.4731, -0.1198, -0.259, -0.05847, -0.216, 0.134, 0.1852, 0.1214, 0.2166, 0.2375, 0.1062, 0.4272, 0.0068, 0.0595, -0.3806, -0.002354, 0.3723, -0.23, 0.1959, 0.1642, 0.2467, 0.2142, -0.0239, -0.175, 0.2852, -0.02304], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1783, 0.07574, 0.5996, 0.04544, -0.2446, 0.3489, -0.6636, -0.0053, -0.7954, 0.44, -0.2659, 0.04977, -0.588, -0.1613, -0.1722, 0.2664, 0.0509, 0.2086, 0.2491, 0.1547, 0.415, 0.3618, -0.2242, 0.3687, -0.1973, -0.1107, -0.1161, -0.05103, -0.252, -0.10535, -0.88, -0.7793, 0.2216, -0.1793, 0.2693, 0.08185, -1.029, 0.272, -0.0752, 0.02444, 1.468, 0.03998, 0.3438, 0.565, -1.284, -0.05283, 0.03156, 0.5, 0.2542, -1.14], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1333, 0.3184, -0.4285, 0.02383, 0.2942, 0.1958, 0.1746, 0.03308, 0.1647, 0.0418, -0.0956, -0.2908, 0.0626, 0.06793, -0.085, -0.297, -0.008705, -0.453, 0.0424, -0.1046, 0.1545, 0.05566, -0.2349, 0.1938, -0.1405, -0.0953, 0.06073, -0.03192, 0.1449, -0.5156, 0.212, 0.42, 0.0757, 0.3057, 0.02711, -0.4045, 0.0657, -0.0633, -0.1906, 0.0514, 0.11176, 0.2883, 0.1542, -0.571, -0.08954, 0.2288, 0.03078, -0.138, -0.05643, 0.006615], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2487, 0.1844, -0.6587, -0.02646, -0.7637, 0.7583, 0.06186, -0.0231, -0.1172, -3.348, 0.269, -0.2822, 0.01467, -3.703, 0.03867, -2.139, 0.10095, 0.8193, 0.4927, -0.4866, -0.2224, 0.456, 0.5884, 0.3787, 0.4546, 0.2186, -0.2588, 0.231, 0.3313, 0.3794, -3.01, 0.941, 0.3867, -1.118, -0.3596, -0.541, -0.03754, -0.02202, -3.809, -0.03308, 0.2046, 0.01179, 0.26, 0.0662, -0.7866, -0.596, 0.05914, -0.00392, -1.879, 0.1761], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1661, 0.191, -0.3018, -0.00778, -0.3972, -0.2146, -0.10864, -0.04163, -0.2117, 0.3032, 0.1615, 0.59, 0.1438, -0.09955, -0.2139, -0.3596, 0.1929, 0.1367, 0.8823, 0.249, 0.365, -0.2856, 0.5, -0.04056, 0.2927, 0.0923, -0.3142, -0.02878, -0.2399, 0.1367, -0.11945, 0.05338, 0.4214, 0.01048, 0.5493, 0.00565, -0.1703, -0.3674, -0.006863, -0.01403, -0.0727, 0.137, 0.1833, -0.0823, 0.4785, -1.815, -0.0277, -0.391, 0.2347, -0.02425], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3716, -0.1367, -0.908, -0.03104, -0.010956, -0.2268, -0.3357, -0.04102, -1.295, -0.0971, 0.3208, 0.05463, -0.7754, 0.496, -0.3835, -0.3928, 0.01866, 0.08264, -0.9976, 0.894, 0.3037, -0.411, 0.1909, -0.4678, 1.145, 0.09344, -0.605, 0.0651, 0.04556, -0.03473, -0.5083, 0.07855, -0.0507, 1.077, -0.214, 0.2107, -0.9053, 0.1243, -1.1, -0.0399, -0.514, 0.01941, 0.01736, 0.3086, 0.747, -0.0738, 0.0142, -0.335, -1.02, 0.637], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05487, -0.0674, 0.2396, 0.007904, -0.10846, -0.648, 0.2761, -0.0176, -0.0508, -0.2384, -0.715, 0.1533, 0.273, -0.2104, 0.8735, -0.4104, -0.286, 0.7373, -0.5757, 0.1532, 0.2695, -0.3442, -0.329, -0.0711, 0.181, -0.1282, 0.1123, 0.2247, 0.07465, -0.1373, 0.5776, -0.01746, 0.2795, -0.4314, 0.6265, 0.2847, 0.5415, -0.0997, 0.0945, -0.056, -0.488, -0.2489, -0.269, 0.1752, -0.0713, 0.1467, -0.05667, -0.2878, -0.01872, -0.45], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0434, 0.3494, -1.076, -0.04062, -0.1769, -0.02815, 0.501, 0.02005, -0.9976, -0.0813, -0.1655, -0.3882, -0.521, 1.105, -0.1527, 0.1533, -0.1506, -0.3296, -1.167, 0.845, 0.5454, -0.553, 0.0348, -0.42, 0.9624, -0.0834, -0.6294, 0.01537, 0.09344, -0.202, -0.2145, -0.08527, 0.05933, 0.9414, 0.09644, 0.574, -0.983, 0.371, -0.9233, 0.02414, -0.8438, -0.2086, 0.11896, 0.27, 0.8145, -0.3882, 0.02463, -0.0534, -0.92, 0.743], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4075, 0.514, -0.371, -0.01743, -0.1461, 0.06104, 0.06586, -0.01698, 0.4292, 0.3909, 0.5347, -0.3308, -0.1235, 0.01035, 0.4922, -0.663, -0.4026, 0.1705, -0.2175, 0.006424, 0.2668, -0.02957, -0.4326, 0.11285, 0.2927, -0.2842, -0.00675, 0.03403, -0.0755, 0.2404, 0.3135, 0.04147, 0.2468, 0.108, -0.0333, 0.703, -0.255, 0.04123, 0.03253, 0.0492, -0.2466, 0.02588, 0.02173, -0.2566, 0.2336, -0.2377, 0.0342, 0.04877, 0.3755, 0.2856], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1542, -0.01344, 0.1516, 0.02339, 0.1835, -0.383, -0.05035, 0.01179, -0.1527, -0.01842, -0.275, 0.0874, -0.385, 0.1159, -0.0951, -0.06168, -0.588, 0.1305, 0.12115, -0.09393, -0.295, -0.056, -0.3079, -0.1674, -0.4072, -0.02495, 0.1421, -0.0763, -0.1688, -0.56, 0.1027, 0.3313, 0.1473, -0.0073, -0.4207, -0.1661, 0.1444, -0.04526, 0.1643, 0.02866, 0.141, 0.503, 0.0336, -0.2512, 0.00663, -0.536, -0.0536, -0.3833, 0.1464, 0.02724], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1038, -0.0829, -0.0815, 0.00859, -0.00059, 0.7646, 0.461, 0.03857, -0.2244, -0.1555, 0.3555, 0.2109, 0.657, 0.1385, -0.3923, -0.5166, 0.00513, 0.141, 0.0661, 0.06238, -0.2573, 0.07544, -0.3208, -0.1415, -1.614, 1.002, -0.02386, 0.088, -0.218, -0.9487, -0.05804, -0.0787, 0.4136, -0.3884, 0.2386, 0.4705, 0.05652, -0.10876, -0.0782, -0.03055, 0.8496, 0.4438, -0.4712, -0.1384, -3.078, -0.3684, 0.02791, 0.2218, 0.1357, -0.128], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.326, -0.239, -0.2678, 0.01414, -0.1078, 0.1982, 0.3105, 0.05008, -0.2644, -0.1849, -0.0989, 0.2089, -0.3289, -0.0688, 0.496, -0.4036, 0.199, 0.08453, -0.5933, 0.1654, 0.3577, -1.08, 0.03848, -0.402, -2.654, 0.3357, -0.2156, -0.3076, 0.2283, 0.4968, -0.567, -0.448, 0.1754, -0.2256, 0.3357, -0.1364, -0.1776, -0.03564, 0.143, -0.01412, -0.4072, -0.01443, 0.0986, 0.188, 0.3499, 0.01616, -0.02089, 0.3547, -0.4004, 0.1874], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.292, 0.0817, 0.05093, -0.02187, 0.0443, -0.1195, -0.02722, 0.02863, 0.05325, 0.3972, 0.006508, -0.06494, -0.1781, -0.01692, 0.2651, -0.1001, -0.006233, 0.1434, -0.0899, 0.06235, 0.298, -0.011826, -0.2123, 0.09296, 0.2903, -0.1691, 0.05295, -0.09296, 0.1522, -0.1594, 0.01189, 0.01988, -0.3633, 0.05356, 0.3628, 0.4338, 0.1721, 0.1652, 0.02504, -0.05344, -0.1074, -0.3496, 0.2139, -0.2603, -0.4023, -0.2302, 0.05518, -0.2778, 0.1274, 0.1842], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.068, -0.1654, 0.595, -0.003593, 0.2333, -0.852, -0.04083, 0.03192, 0.08875, -0.1305, -0.3289, 0.4365, 0.09546, -0.4912, 0.007526, -0.04474, 0.04556, 0.522, -0.205, 0.02911, -0.04022, 0.0485, -0.0303, -0.2275, -0.197, 0.1405, -0.0996, -0.14, 0.3157, -0.1632, 0.4253, -0.71, -0.7026, -0.6304, 0.07886, -0.4937, 0.4236, 0.01628, 0.1159, 0.00969, -0.623, 0.01437, 0.4072, -0.2222, 0.2203, 0.01047, 0.0386, -0.342, -0.0562, 0.1844], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2617, -0.415, 0.02452, 0.01805, 0.0397, 0.5347, 0.449, -0.04843, -0.172, -2.225, 0.39, -0.4724, -0.2194, -0.2333, -0.1119, 0.1602, 0.00766, -0.5693, -0.5137, 0.2426, -0.189, -0.3096, -0.1951, 0.01109, -5.242, -0.10095, 0.1376, 0.03177, 0.1367, 0.2578, -1.468, 0.2009, 0.4998, 0.976, 0.01478, 2.184, -1.214, 0.2576, -0.213, -0.04443, 0.07715, -0.868, -0.3604, 0.8154, 0.9346, -0.5825, 0.05695, 0.04178, -0.002571, 0.1206], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1257, 0.2164, -1.097, 0.0127, 0.05264, -0.1652, -0.1417, -0.032, -0.565, 0.3728, -0.2642, -0.3467, -0.2832, 0.424, 0.11346, -0.03775, -0.2595, 0.252, -0.581, 0.595, 0.2761, -0.575, 0.1849, -0.2135, 0.4636, 0.02519, -0.4944, -0.03992, 0.1786, 0.3542, -0.1764, 0.0905, -0.02179, 0.903, -0.09344, 0.284, -0.4514, 0.418, -1.048, 0.04977, 0.2056, 0.03244, -0.4172, 0.03888, -0.4033, -0.4548, -0.01562, 0.00621, -0.8, 0.942], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1582, 0.224, -0.4585, 0.04782, 0.3716, -0.009796, 0.1072, -0.0196, 0.8447, 0.5156, 0.1146, -0.855, 0.1562, 0.2104, 0.2335, -0.525, 0.0915, -0.587, -0.2766, -0.2903, 0.2932, 0.392, -0.3254, 0.573, -0.0692, -0.2522, 0.0697, 0.2249, 0.3213, 0.1578, 0.4834, 0.1606, -0.291, 0.1295, -0.06204, 0.04276, 0.3357, -0.3674, -0.2947, -0.0345, 0.1293, -0.7295, 0.2808, 0.669, 0.4043, -0.1609, -0.0372, 0.3848, -0.2043, 0.1617], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.00989, -0.0483, -0.01287, 0.01933, -0.04752, 0.01494, -0.03073, 0.0434, -0.013, -0.03815, 0.03824, 0.01654, -0.05347, -0.04468, 0.03128, 0.0196, -0.012825, -0.03516, -0.02142, 0.01434, 0.02216, 0.0138, -0.01965, 0.04242, -0.01259, 0.02855, -0.003706, -0.0239, 0.00862, 0.0227, -0.02586, -0.001126, 0.002655, -0.001793, -0.03436, 0.0128, -0.02794, -0.02693, -0.0318, -0.03943, -0.03152, -0.05594, -0.00893, -0.02124, -0.01386, -0.03467, -0.002981, 0.02507, -0.03067, -0.04648], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1794, -0.04688, -0.11694, 0.0539, 0.7363, 0.0373, 0.2837, 0.03693, 0.4265, 0.177, 0.0904, -0.578, 0.434, 0.08167, 0.3782, 0.1113, -0.1798, -0.271, -0.04813, -0.4116, 0.082, 0.1766, -0.272, 0.4312, 1.094, 0.002853, 0.08014, -0.0873, 0.4973, 0.1929, -0.006092, 0.214, -0.2345, -0.228, 0.3281, -0.08496, 0.03397, 0.009094, -0.1176, -0.02933, 0.316, 0.252, 0.26, 0.735, -0.313, 0.4165, -0.00835, 0.476, -0.3032, -0.013596], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2229, 0.3, -0.1577, 0.0393, -0.2505, -0.1715, -0.2961, 0.02216, -0.8975, 0.0605, 0.5024, 0.2438, -0.1759, -0.3513, 0.3354, -0.04587, 0.4417, 0.2747, 0.218, 0.1487, -0.1383, -0.3706, -0.6724, 0.04056, -0.1185, 0.1586, -0.4973, -0.2194, 0.2837, 0.5913, -0.486, -0.3855, 0.5547, -0.764, 0.3228, 0.282, 0.03412, -0.1498, 0.1273, -0.03087, 0.882, -0.11346, -0.1222, 0.5254, 0.882, -0.10175, -0.02107, 0.1182, -0.809, 0.07056], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1971, -0.0647, -0.00868, 0.02489, 0.10333, 0.3274, -0.1616, 0.01964, -0.013596, -0.672, -0.3396, 0.2179, 0.05444, 0.1271, -0.393, 0.114, -0.3096, -0.0527, -0.0729, -0.014915, -0.0687, -0.1656, 0.306, -0.2439, -0.404, 0.2954, -0.03647, 0.02429, 0.005257, -0.3115, 0.2023, 0.56, -0.2905, 0.2817, -0.1776, -0.4507, 0.2107, 0.1469, 0.010506, -0.03766, -0.0401, 0.054, -0.0752, -1.992, -0.451, 0.5747, -0.0772, -0.6763, -0.0412, -0.04633], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03094, -0.00465, 0.002779, 0.01935, -0.02634, -0.0487, -0.04248, -0.003647, -0.02873, -0.04535, 0.02371, -0.01172, 0.01633, 0.03848, 0.0008464, -0.02863, 0.02638, -0.03726, -0.02872, -0.004696, -0.03397, -0.03723, 0.0315, 0.00861, 0.0352, -0.00968, 0.03198, -0.0552, 0.01181, -0.01523, 0.0416, -0.05505, -0.0682, -0.00864, -0.03348, 0.02156, -0.02673, 0.02725, -0.03342, -0.004013, 0.00838, -0.0429, 0.01279, 0.02617, -0.01668, -0.0555, 0.0393, -0.0474, 0.03284, -0.02396], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01113, 0.2051, -0.2446, -0.04694, 0.2054, -1.358, 0.4685, -0.02939, 0.2935, 0.423, -0.4675, -0.0973, 0.1223, 0.4429, 1.157, -0.2006, -0.2632, -0.00931, -0.442, 0.3296, 0.2432, -0.3687, -0.5176, 0.1112, 0.7515, -1.097, -0.2214, 0.1956, 0.04602, 1.245, 0.4111, 0.3767, 0.007202, -0.03577, -0.0697, 0.851, 0.3318, -0.341, -0.0957, -0.00875, -0.692, -0.584, 0.642, -2.502, 0.958, 0.3804, 0.01729, -0.10754, -0.911, 0.1162], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2222, -0.0764, -0.2135, -0.03415, 0.2744, 0.864, 0.3672, -0.01288, -0.0662, -0.02472, 0.109, -0.343, -0.03165, 0.3289, -0.3086, 0.368, 0.1229, -0.5757, 0.1332, -0.3, -0.11957, 0.1111, -0.2598, -0.00199, -1.157, -0.36, 0.03806, 0.1171, 0.3992, 0.1967, 0.07104, -0.001319, 0.2445, -0.341, -0.1876, 0.06885, -0.1768, -0.1548, -0.0763, 0.05154, -0.4058, 0.05643, 0.2493, 0.2253, -0.02953, -0.2334, -0.0048, 0.2262, -0.2607, 0.2654], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2274, -0.286, 0.2932, -0.02713, -0.3984, -0.2495, -0.2776, -0.05148, -0.0054, -0.6865, -0.10175, -0.0897, -0.2063, -0.3372, 0.3403, 0.04797, 0.1997, 0.4094, -3.469, 0.03882, -0.0495, -0.04788, 0.07104, -0.711, -0.6562, 0.1375, -0.1852, -0.2018, -0.03546, -0.2644, -0.204, -0.0326, -0.2466, 0.0538, 0.235, 0.05084, 0.4167, -0.02922, 0.3623, -0.0453, -0.1453, 0.4768, -0.7993, 0.1538, 0.12054, -0.02058, 0.001302, 0.255, -0.3674, 0.3372], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.846, 0.512, -0.747, -0.0252, -0.3213, -1.152, 0.4978, -0.04016, 0.0751, 0.663, -0.271, -0.1329, 0.03635, 0.07446, 0.2225, -0.677, 0.2258, -0.09845, 0.5586, 0.251, 0.02133, -0.05557, -0.3596, 0.56, -0.8657, 0.1356, -0.1051, 0.6387, -0.359, 0.0278, -0.4146, 0.6216, -0.2898, 0.7314, -0.2712, -0.3594, 0.2615, -0.2181, 0.11414, -0.04736, -0.3945, -0.08496, -0.3948, -0.04538, -0.1556, 1.059, 0.001941, 0.3313, -0.1052, 0.329], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.083, -0.1676, 0.3462, 0.00847, 0.2034, 0.1338, -0.1527, 0.01581, -0.1493, -0.468, 0.04205, 0.06, 0.1273, -0.0931, -0.622, 0.03842, -0.0936, -0.2698, -0.1504, -0.1791, -0.03455, -0.261, 0.1914, -0.2864, -0.2693, 0.5645, 0.0346, -0.07855, -0.3472, 0.1583, 0.1065, 0.2705, -0.1919, 0.12366, -0.09314, -0.4146, 0.1526, 0.08844, 0.1198, -0.0412, 0.567, 0.299, -0.4087, -0.1921, 0.518, 0.314, -0.02446, -0.253, 0.2805, -0.017], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09076, -0.5474, 0.1305, 0.01325, 0.07587, -0.1249, -0.1564, -0.04483, 0.3035, 0.5474, 0.1952, -0.1586, 0.1998, -0.3408, 0.171, -0.431, -0.0547, 0.05707, 0.4824, -0.09033, -0.01036, 0.03674, 0.3096, 0.2285, -0.3015, 0.2305, -0.0995, -0.2515, 0.3298, 0.305, 0.3208, -0.4854, -0.1155, -0.1298, 0.1542, 0.747, 0.139, -0.01142, -0.0723, 0.04037, -0.4849, -0.2795, -0.328, 0.478, 0.004025, 0.7085, 0.01442, -0.107, -0.4722, -0.2297], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2438, -0.3237, -0.1124, 0.006588, -0.013725, -0.1632, 0.1306, -0.01052, -0.02893, 0.02165, -0.1602, 0.10266, -0.2297, -0.2119, 0.412, 0.014626, -0.1351, 0.1031, -1.125, -0.00904, -0.2131, -0.0561, -0.5864, -0.0924, -0.133, 0.3013, -0.2216, -0.02722, 0.4304, 0.158, -0.8687, -0.581, -0.2075, -0.6924, 0.1852, 0.1074, 0.07043, -0.1288, 0.2617, 0.00944, -0.3716, 0.02661, -0.0793, -0.1646, -0.2441, 0.3726, -0.000492, -0.0777, -0.11584, 0.05026], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0849, -0.1249, -0.2181, 0.011635, 0.3018, -0.7476, 0.11536, -0.032, 0.2233, 0.1137, -0.06647, -0.6743, 0.3364, 0.01738, 0.138, -0.02135, -0.1637, -0.2263, -0.21, -0.2515, -0.237, 0.07446, -0.1533, 0.1278, 0.42, 0.02739, 0.01187, 0.351, -0.133, 0.512, -0.05533, 0.2063, 0.3323, -0.0793, -0.11316, 0.2607, -0.06287, 0.04227, -0.0948, -0.03894, -0.10284, -0.3147, 0.2192, -0.313, -0.535, -0.1083, -0.01956, 0.399, -0.0698, 0.0714], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1691, 0.1594, 0.1938, 0.02962, -0.3567, 0.49, -0.04758, 0.01009, -0.264, 0.04797, 0.07385, 0.2253, -0.2355, -0.05023, -0.1388, 0.04825, 0.2029, -0.0636, -0.566, 0.157, -0.02325, -0.2299, 0.1324, -0.1685, -0.0739, -0.003897, -0.0725, -0.3074, 0.05853, 0.1365, 0.1914, 0.1265, 0.06555, -0.1123, -0.0312, 0.264, -0.221, -0.0811, 0.1678, -0.03976, -0.3525, 0.1093, 0.1372, 0.3699, -0.2734, -0.0594, 0.04358, 0.04016, 0.1484, -0.03912], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6064, -0.06235, 0.5254, -0.01058, 0.527, -0.641, -0.2693, -0.02103, 0.782, -0.2439, 0.3987, -0.8643, -0.1621, -0.2966, 0.276, 0.644, -0.547, 0.5615, -0.2766, -0.536, 0.11743, 0.2676, -0.1201, 0.6606, 0.6997, 0.1626, 0.132, 0.1882, 0.4019, -0.0601, 0.143, -0.4146, -1.804, -0.6274, 0.2106, 0.2761, 0.1908, -0.269, 0.244, -0.01627, 0.1539, -0.0885, -0.231, -0.1604, -1.223, -0.4673, -0.0834, 0.1943, -0.1377, 0.5337], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5737, 0.3271, 0.1685, 0.0266, -0.0757, 0.1427, 0.0986, 0.0276, -0.10736, -0.3113, -0.795, 0.5693, -0.0781, 0.10443, -0.0482, 0.005634, 0.59, -0.4727, 0.647, 0.1311, -0.1055, -0.3914, 0.512, -0.2347, -1.281, -0.10596, 0.397, -0.317, -0.00912, -0.2612, 0.3743, -0.2415, 0.1768, -0.1162, -0.62, -0.321, -0.1328, -0.2428, 0.067, 0.04977, 0.5356, 0.7964, 0.05267, -0.1477, -0.2054, 0.4375, -0.0001297, -0.6416, -0.363, -0.1641]]
[-0.380714, 0.769237, 0.112942, -0.298996, -0.137694, -0.220087, -0.0667924, -0.103572, -0.438194, -0.197092, -0.0234353, -0.0131679, 0.295812, 0.206774, -0.825669, -0.148973, -0.121241, -0.164738, -0.528072, 0.246094, 0.111023, 0.0886637, 0.447465, 0.0499511, 0.477865, -0.171527, 0.33803, -0.318321, -0.302984, 0.0748341, -0.0716897, -0.68829, 0.436629, -0.986028, -0.00702441, -0.675674, -0.472779, 0.766563, -0.0149592, -0.0125291, -0.339034, 0.136161, 0.302658, -0.329135, -0.0191968, 0.101136, -0.00115694, 0.313553, -1.14249, 0.26748, -0.3806, 0.769, 0.1129, -0.299, -0.1377, -0.2201, -0.0668, -0.1036, -0.4382, -0.1971, -0.02344, -0.01317, 0.296, 0.2068, -0.8257, -0.1489, -0.1212, -0.1648, -0.528, 0.2461, 0.111, 0.0887, 0.4475, 0.04996, 0.4778, -0.1715, 0.3381, -0.3184, -0.303, 0.0748, -0.0717, -0.6885, 0.4365, -0.986, -0.007023, -0.676, -0.473, 0.7666, -0.01496, -0.01253, -0.339, 0.1361, 0.3027, -0.329, -0.0192, 0.10114, -0.001157, 0.3135, -1.143, 0.2676]
ReLU
[[-0.394563, -0.0698262, -0.283311, -0.238274, -0.223285, -0.203425, -0.104023, 0.123146, -0.291795, -0.0918974, -0.318801, 0.0148522, 0.332066, 0.0277774, -0.405138, 0.0275509, -0.111388, -0.0671958, -0.227354, -0.200165, 0.222439, 0.296726, -0.111377, 0.027583, -0.149291, 0.125275, 0.228033, -0.076065, -0.0298095, 0.167973, -0.0269673, -0.522908, 0.0101553, -0.0730347, 0.0276166, -0.00564564, 0.148295, 0.0617914, -0.0273364, 0.0384472, 0.39646, 0.0362956, 0.0463422, 0.0679695, 0.198254, -0.580883, 0.11221, 0.15335, -0.128753, -0.0922512, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.167212, 0.233683, -0.48551, 0.0578376, -0.318413, 0.570899, 0.267943, 0.152047, 0.0187715, 0.549203, -0.524944, 0.0273662, 0.117531, 0.598365, -0.264446, 0.543671, -0.631305, 0.762478, -0.0969894, -0.0970664, 1.31928, 0.256586, -0.561214, -0.410821, -0.712581, 1.15832, 0.206762, 0.0454558, -1.4452, -0.324777, -1.22964, -1.93693, -0.481917, 0.0372077, -0.0138957, 0.274189, -1.29954, 0.332459, 0.0180206, 0.120467, 0.0791958, 0.965855, -0.568351, -1.26103, -0.116678, 0.0762926, -0.195997, -0.0598698, -1.41735, 0.417608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0023647, 0.00448171, 0.134325, 0.198822, -0.150599, 0.11584, 0.0347174, -0.178881, -0.204555, 0.0522403, 0.130284, -0.0258987, -0.032565, 0.020568, 0.00810418, -0.0355261, 0.130697, -0.144521, -0.0594287, 0.412212, 0.382139, -0.0182448, -0.249545, -0.0665296, -0.010067, -0.0351417, 0.252671, -0.0239627, -0.238755, 0.0604939, 0.166659, 0.132182, 0.0137874, -0.130059, 0.0152095, -0.247032, 0.0060205, -0.203496, -0.0406619, -0.242685, -0.180515, 0.00761489, -0.0757224, -0.409499, 0.154085, 0.048298, 0.391486, 0.517893, -0.111233, -0.0504421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.00529213, 0.293476, 0.0820711, -0.617518, 0.458129, -0.00514647, -0.0855453, 0.00503635, -0.0533781, -0.145667, 0.462788, -0.0396699, -0.272931, 0.38859, -0.352526, 0.0565229, 0.0667742, 0.236475, 0.882336, 0.995631, 0.0641232, 0.0458709, -0.561988, -0.321278, -0.933369, 0.394759, -0.479248, -0.299322, -1.38782, -0.896195, 0.0270565, -0.195152, -1.19594, -0.5351, 0.0269005, -0.173513, 1.46625, -0.0901337, 0.0138482, -0.104261, -1.00204, 0.26885, -0.0905135, -1.58879, 0.0931402, 0.837231, -0.0730412, 0.19395, -0.552373, 0.295155, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0839742, -0.00950351, 0.0204403, -0.0849628, 0.00788712, -0.150335, -0.0852006, 0.166546, -0.0353744, -0.125081, -0.00140261, 0.00324415, -0.182312, 0.0359011, -0.0597191, 0.0726852, 0.0206281, 0.225702, 0.0230385, -0.0460023, -0.245698, -0.171981, -0.0728003, 0.130177, 0.00628934, -0.0859082, -0.10074, -0.149373, 0.0614733, 0.0735259, -0.158587, 0.0292942, -0.0232314, -0.0577484, -0.0242977, -0.00668207, 0.00724773, 0.00567255, -8.6442e-05, -0.0732662, -0.0327114, -0.0856861, -0.0618508, -0.0323178, -0.0158183, -0.146117, -0.0985743, -0.0238811, -0.139239, 0.103974, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-1.58891, 0.132815, 0.367753, 0.228912, 0.331859, -0.312121, -0.698552, 0.338757, 0.269866, 0.171688, 0.161397, 0.0170441, -0.280426, 0.514429, -1.38959, -0.0359039, 0.231422, 0.138975, -0.11455, -0.0372117, -0.180078, 0.529144, -0.38199, 0.248129, 0.265708, -0.431944, -0.162513, 0.397138, 0.65263, -0.234018, -0.0426963, 0.330108, 0.221648, -0.0397394, -0.0264066, -0.325944, 0.399293, 0.31805, -0.0306052, -0.194406, -0.0303802, -0.469621, -0.119984, -0.63174, -0.675227, -0.38456, 0.359495, 0.401211, -0.189624, -0.596589, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.626431, -0.153134, 1.46536, -0.314099, -0.0998219, -0.120802, 0.341156, 1.45161, 0.463556, -0.27857, -0.0694108, -0.0179807, -0.553931, -0.879298, -0.0402077, 0.463734, -0.236985, -0.0232631, 1.1605, 0.565488, -0.222169, 0.898949, 0.317294, -0.544779, 0.0113812, 0.0237995, -0.583052, 0.0050259, 0.227628, 1.86921, -0.02455, 0.240378, -0.291848, 0.211504, 0.00677916, 0.0529648, 0.709558, 0.1637, 0.0417698, 0.0665334, 0.400697, 0.369803, 0.0574883, 0.165416, -0.00790435, 0.775768, 0.481859, -0.670433, -0.550707, -0.0770022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.104183, -0.0119007, -0.0897393, -0.195334, -0.521567, -0.350172, 0.184084, 0.106879, -0.350317, 0.520286, -0.233431, 0.0151943, -0.0567796, 0.527955, -0.542271, -0.163835, 0.575915, 0.0576386, -0.290336, 0.146115, 0.140006, -0.0117108, -0.0305956, 0.00991921, -0.244283, 0.035417, -0.415551, -1.13887, 0.112141, 0.420845, -0.0788292, 0.0326416, 0.12314, -0.373998, -0.0130794, 0.110247, 0.240676, 0.123972, 0.00354399, 0.1022, 0.205576, -0.484053, -0.0727949, -2.6597, 0.0806, -0.237857, -0.786023, 0.653412, -0.399549, -0.483721, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.715791, -0.403913, 1.08537, -0.134121, 0.628797, 0.248196, -0.344638, -0.110511, 0.32339, -0.0227376, -0.0121324, 0.031458, -0.511846, 0.172526, -0.165828, -0.17916, 0.444749, -0.383016, 0.0533052, 0.0725074, 0.235877, 0.92116, 0.0469515, -0.0814033, 0.141202, -0.498503, -0.535531, -0.459011, -0.266841, -0.266578, -0.0491431, -0.138442, -0.0349938, -0.239897, 0.0159517, -0.0494994, 0.700599, -0.104098, 0.0230268, -0.107799, 0.0250454, -0.358711, -0.156233, 0.0851988, -0.0631612, -0.316152, 0.00895438, 0.55657, -0.0385386, 0.246384, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0203572, 0.0661602, 0.6394, -0.0226821, 0.528992, -0.180126, -0.102404, 0.0831776, -0.034817, -0.0139187, 0.0414523, -0.0279829, 0.382764, 0.0596343, -0.194949, 0.0106025, 0.0128936, 0.170215, -0.0710859, -0.242402, 0.00904743, 0.459416, -0.160253, 0.0751152, 0.0155053, -0.124959, -0.42925, 0.0384327, -0.15835, 0.0389549, -0.144792, -0.08051, 0.0283343, -0.0578152, 0.0269208, -0.0265617, -0.0156969, 0.0648686, -0.0111633, -0.0358533, -0.100146, -0.0615408, -0.056683, 0.24183, 0.0288496, -0.0503153, -0.233742, 0.149111, -0.348231, 0.21904, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.345921, 0.257997, -0.581068, 0.230388, 0.170581, -0.0293957, -0.0983728, -0.165483, 0.796885, 0.17569, 0.305032, -0.0118553, 0.19735, 0.148131, 0.288924, -0.795205, 0.152681, -0.0660234, 0.371926, 0.273459, -0.0235298, -0.226798, -0.156638, 0.236447, -0.0200975, 0.465614, -0.342275, 0.19947, -0.68318, 0.524048, -0.0110509, -1.61152, 0.150047, -0.0925368, 0.00351618, 0.0168833, 0.0880344, 0.0546639, 0.0155245, -0.0384539, -0.178171, -0.27919, -0.134239, -3.96072, -0.476002, 0.932722, -0.125347, 0.232311, 0.193767, -0.00939254, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.202132, 0.141763, 1.241, 0.599873, 0.164359, -0.589985, -0.254076, 0.278253, 0.0291315, 0.0220104, 0.0228253, -0.031935, 0.111968, 0.00382553, -0.882724, -0.379406, -0.860738, 0.197834, 0.143029, -1.16569, -0.0660877, 0.0271091, -0.703076, 0.1715, -0.220864, 0.526382, 0.235926, 0.894301, -0.355227, 1.1055, -0.333995, -0.389842, 0.596985, 0.145782, -0.0366592, -0.113592, -0.387932, 0.393098, -0.0317358, -0.283544, -0.236956, -0.225495, -0.0688247, -1.05179, 0.41046, -0.465473, 0.27861, -0.0632703, -0.830758, -0.33602, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.707481, 0.024302, -0.597475, -0.0752218, 0.282943, 0.258734, -0.42464, -0.946095, -1.08164, -0.803078, -0.128323, 0.00946648, 0.00287947, 0.644245, -1.39088, 0.217855, 0.184494, -0.208125, 0.214623, -0.12906, 0.652187, 0.729537, 0.0380979, -0.276736, -0.303094, 0.63237, -0.415587, -0.767742, -0.871942, -0.00254847, 0.218881, -0.317661, -0.0233006, -0.191549, 0.0293102, 0.0900226, 0.428231, 0.0942421, 0.0412047, -0.114644, 0.305298, 0.0664902, -0.0604644, -0.525863, 0.104133, -0.19422, -0.167179, -0.409477, -0.153501, 0.405172, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0252678, -0.136898, -0.0101677, 0.226226, 0.386424, -0.0685879, -0.0438752, 0.0941901, 0.318713, -0.0607129, 0.124927, 0.0031705, 0.319889, 0.234977, -0.0391202, -0.0422156, -0.121138, -0.294433, -0.241306, 0.274165, 0.138008, 0.30223, -0.174847, -0.0731227, 0.0494045, 0.00775293, 0.251854, -0.0675301, -2.27797, -0.159879, 0.025719, -1.651, 0.0125257, -0.0605621, 0.0383062, -0.139832, -5.1865, 0.0610084, -0.0155129, 0.0912777, -0.18875, -0.0395725, -0.0853677, 0.0380772, 0.0856564, -0.397635, -0.183116, 0.300641, -0.0106825, -0.0585979, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0248922, -0.02574, -0.0184223, 0.0194585, -0.00125046, -0.00652099, 0.017167, 0.00159315, -0.0430752, -0.0148453, -0.039209, -0.0356695, -0.0192129, 0.0241145, 0.0434453, -0.0362108, -0.0331911, -0.0113456, -0.00649361, -0.0554213, 0.0145442, -0.0374794, -0.0254456, -0.0427666, 0.0115476, -0.0166791, -0.0450419, 0.0125163, -0.0195789, 0.0097965, 0.0337032, -0.0249443, 0.00500653, 0.00548172, 0.00972529, -0.010864, 0.00995553, 0.00629006, -0.00509248, 0.00634822, 0.0311181, -0.0278474, -0.0351817, 0.0397647, -0.0565921, -0.0185467, -0.051617, 0.022919, -0.027468, 0.00554861, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0715668, -0.350168, 0.263844, 0.360088, 1.70995, -0.481102, -0.509153, 0.187529, 0.0739432, 0.0532358, 0.138081, -0.00033348, -0.228114, 0.621343, -0.486085, 0.36334, -0.147597, -1.47564, -0.116021, 0.0477953, 0.471041, 0.316453, -0.526181, -0.0987674, -0.0146888, -0.112808, 0.393242, -0.0895033, -0.418072, -0.494939, -0.13781, 0.227523, 0.259413, 0.0938475, -0.0450168, -0.375068, 0.0326591, 0.195249, -0.0101453, -0.178511, -0.422495, -0.00373327, -0.0737946, 0.0184087, 0.120044, 0.0754089, -0.564638, 0.223077, -0.519942, 0.29407, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.493989, -0.159947, 1.04235, 0.119623, 0.187999, 0.282129, 0.17991, 0.0706914, 0.802283, -0.0658384, -0.0981812, -0.0121729, -0.321533, -0.874024, 0.271431, 0.14778, -0.0617795, -0.106794, 0.155881, 0.0951737, -0.265196, -0.628278, 0.189281, -0.126835, -0.00565487, 0.271083, 0.114579, 0.0370875, 0.137708, -0.104078, 0.247311, 0.234013, -0.131236, 0.340164, 0.0229443, 0.0307737, 0.00395908, 0.256366, 0.0146738, -0.0460675, 0.314517, -0.0780707, 0.245727, -0.209535, -0.516176, -0.0149896, 0.277833, -0.353144, -1.1168, -0.198174, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.229537, 0.0233527, 0.640214, -0.109557, 0.28247, 0.466212, -0.162024, -0.231571, 0.246425, -0.474739, -0.00361412, 0.0386562, 0.168742, 0.562445, -0.386625, 0.0495298, -0.556262, 0.0995535, -1.19017, -0.830788, 0.657674, 0.235481, -0.229257, 0.00921747, -0.549241, 0.0722582, -0.0859226, -0.102363, -0.167705, -0.354821, -0.280233, -0.453085, 0.1683, 0.0428684, 0.0473699, 0.101309, 0.0947926, -0.367575, 0.0335483, 0.0339808, -0.402467, -0.081473, -0.335976, 0.00104512, 0.128289, 0.27115, -0.317959, -0.24613, 0.177112, 0.556634, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.316117, -0.189258, -0.660521, 0.31194, -0.984819, 0.0819293, -0.312946, -0.0921157, 0.518779, -0.380403, 0.292651, -0.020345, 0.500782, -1.21574, -2.34346, 0.211876, 0.443646, 0.402315, -0.119598, 0.0345472, 0.307762, -0.00210934, -0.159808, -0.542188, -0.0664734, 0.599792, 0.0314071, -0.0834671, -0.555409, -0.155087, -1.29394, 0.427082, 0.0806526, 0.0771426, -0.000371785, -0.135954, 0.287776, -0.473215, -0.0440248, 0.114109, 0.144752, 0.0730112, -0.164117, -4.90971, -0.0251252, -1.30042, -0.153851, -0.114714, -2.20683, -0.372304, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.196014, -0.121179, 0.847557, -0.211572, 1.85382, 0.579316, 0.00566627, -1.00301, 2.00527, 0.349425, 0.792504, -0.0107347, 0.0422632, -0.630686, 0.307472, -0.716441, 0.726894, 0.117075, -0.105578, -0.232774, -0.203008, 1.38428, 0.362842, 0.475495, -0.0176232, 0.0170579, 0.138959, 0.309349, -0.0165025, 0.293184, -0.579031, -0.197674, 0.0832305, 0.164702, 0.0268436, 0.350676, -0.441231, -0.966946, 0.0223402, 0.49783, 0.120667, 0.673438, -0.149442, 4.03939, -0.207, 0.611182, 0.313586, -0.446156, 0.211332, -0.0714492, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0292199, 0.0538899, 0.203082, 0.000224077, -0.180795, -0.0782653, -0.0739725, 0.0424716, -0.0824275, 0.0542497, 0.0183649, 0.0188053, 0.156734, 0.0327017, 0.00380642, -0.0830178, 0.0895929, 0.0118679, -0.0934654, -0.143054, 0.0208796, -0.0689744, -0.0558937, 0.0174657, -0.0156666, 0.0516965, 0.107109, 0.0305567, -0.0384226, -0.114612, -0.0714915, -0.00357166, -0.0118318, -0.00625423, 0.0154879, -0.00816916, 0.0245586, -0.187377, 0.0349294, -0.0713349, -0.0754795, -0.0163906, 0.0260697, -0.924879, -0.0377616, -0.0483901, -0.0854195, 0.0949651, -0.0261342, -0.110556, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0525962, 0.0859365, 1.05409, -0.300575, 0.662131, -0.00314115, 0.056507, -0.152159, -1.17135, 0.382433, -0.473112, -0.0121814, -0.38499, 0.662854, -0.177603, 0.00145344, -0.0639777, -0.701247, 0.423285, -0.389644, 0.377512, 0.430358, -1.43331, -0.0403444, -1.15818, 0.296638, -0.16952, 0.0774037, -1.42376, -0.332768, -0.537347, -0.101867, -0.173706, -0.13036, -0.0156162, 0.0733926, 0.736298, -0.156565, 0.0115663, 0.223914, -0.45378, 0.31672, 0.0228065, -0.634037, -0.0236537, 0.394459, -0.0379215, -0.486768, -0.173316, 0.103807, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0605157, -0.201079, 0.879965, 0.0984031, 0.250863, 0.124426, -0.042921, -0.0406046, 0.295117, 0.0150924, 0.165429, -0.0402676, -0.270337, 0.2962, -0.0355469, 0.055173, -0.152737, -0.235633, -0.255433, 0.277918, 0.0913609, -0.0262645, -0.0952672, -0.120629, 0.044796, 0.295051, -0.0485591, -0.154921, -0.127411, -0.120712, 0.31882, -0.0907056, -0.0207896, -0.220624, -0.0109453, -0.0797852, -0.0400196, -0.0335893, -0.0322721, -0.38705, -0.123853, 0.23623, 0.0360321, -0.641157, 0.155525, 0.0867142, 0.139535, 0.413994, -0.183858, 0.0727254, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.262135, 0.0974631, -0.880441, 0.0409858, -2.21498, -0.0824618, -0.0742507, 0.0541432, 0.103566, 0.187934, 0.0903329, -0.0540526, 0.313758, 0.71595, 0.242285, 0.0132689, -0.227043, -0.12313, 0.134349, -0.156554, 0.352445, -0.326557, -0.116696, -0.025057, 0.0960408, 0.0960625, 0.814858, -0.24681, -0.818579, -0.120591, 0.862029, -0.170419, 0.0236279, -0.306418, 0.0156349, -0.0919612, 0.183612, -0.23307, 0.0408627, 0.2996, -0.279508, -0.149617, -0.00418904, 0.579212, 0.313651, -1.06875, -0.0256736, 0.637544, -2.32, -0.230712, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0726072, -0.485643, 1.09865, 0.0665719, 1.92115, -0.981324, -0.389494, 0.135, -1.00268, -0.0649017, 0.0941361, -0.0283069, -0.110568, -0.132132, -0.298874, -0.399778, 1.93373, -0.435942, -0.959575, 0.0391632, 1.65453, 0.142312, -0.407018, -1.20509, -0.336102, 0.0491319, -1.80931, -0.262819, -0.452857, -0.882937, -0.763962, -1.2535, -0.170976, 0.0435387, -0.0181216, -0.189456, 1.31239, 0.501466, -0.0193653, 0.662156, -1.14993, 0.829686, -0.281929, -0.0893929, -0.740853, -0.231336, 0.127245, 0.638056, -1.45174, -0.080462, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.119702, -0.172287, 0.634408, 0.123824, -0.413612, -0.15645, -0.175556, 0.149576, 0.0843609, -0.0357621, -0.067775, 0.0272012, 0.0712774, 0.0585391, 0.0605426, -0.0704511, -0.142757, 0.00481347, 0.39019, 0.319044, 0.0563851, 0.0490633, -0.187523, -0.136469, 0.224522, -0.208699, 0.0794694, -0.185027, -0.215801, -0.148195, 0.0558763, 0.107807, 0.00540701, -0.474632, -0.0218466, -0.236349, 0.597927, -0.189763, -0.0238023, -0.152778, -0.0390607, 0.0886156, -0.0715603, -0.187337, 0.119688, 0.542502, 0.184157, 0.0807653, -0.0501604, -0.0908746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0198582, -0.104161, 0.746008, 0.188276, 0.041571, 0.210304, 0.214035, 0.391485, -0.224834, 0.214115, -0.272686, -0.0298063, -0.688885, -0.347962, -0.114139, 0.461413, -0.021678, 0.259591, 0.0841397, 0.624057, 0.166336, 0.338091, 0.129365, 0.212112, 0.285791, 0.204216, 1.3949, 0.0299015, -0.031176, 0.703195, 0.45264, 0.233704, -0.153117, -0.251765, -0.00906122, 0.292684, 0.108258, -0.354001, 0.0268185, -0.0981122, 0.257973, 0.284525, -0.230834, 0.0352399, 0.496667, -0.257608, 0.328592, 0.441031, -0.048857, 0.0105497, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-2.22022, 0.0700528, 0.793327, 0.504204, -0.751471, -0.87514, -1.23475, 0.705289, -0.0526768, -0.307467, -0.0983115, 0.0385552, 0.293286, 0.00584782, -0.638412, -0.856097, 0.274786, 0.60043, 0.0310956, -0.634814, -0.0517423, 0.218598, -0.31594, 0.22974, 0.363437, -0.619803, 0.234262, 0.229112, 0.230266, 0.579498, 0.231227, 0.144061, -0.0108372, -0.36642, -0.00834151, 0.399737, 0.283375, -0.20267, -0.0159701, -0.00994048, -0.347655, -0.590587, -0.176007, -1.85486, -0.496387, 0.102207, -0.361451, -0.180422, -0.583971, -0.549685, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0662226, -0.0801789, -0.52773, -0.269843, -3.44625, 0.341794, 0.26811, -0.218363, -0.0584106, 0.204732, -0.172336, 0.0172605, 0.0285137, -0.36027, -0.0559003, -0.22556, -0.202159, 0.124464, 0.220626, -0.0937501, -0.147642, -0.478918, 0.263262, 0.0216342, 0.0717333, -0.181616, -0.203668, -0.0616027, 0.0196047, 0.0817373, -0.00856385, -0.0394203, -0.126281, -0.0242002, 0.0352478, 0.296435, 0.274948, -1.20725, -0.0398156, -1.52661, 0.240013, 0.214254, 0.206419, -0.516922, 0.00166742, -0.383075, 0.272057, -0.324996, -0.245138, -0.177806, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.168532, -0.135663, 1.02961, -0.491993, 0.473378, -0.306376, -0.345984, 0.151133, -0.761786, 0.189657, -0.574633, 0.0370068, -0.11612, 0.18518, 0.172162, 0.160169, -0.0701279, -0.281813, -0.0228444, -0.239316, 0.880678, 0.967607, -1.25001, 0.197181, -0.47617, 0.0873299, 0.630572, -0.0981161, -0.573733, 0.33978, 0.189691, -0.755299, 0.317806, 0.198741, 0.035348, 0.168126, -0.626592, -0.285636, -0.0483273, 0.272029, -0.0663057, 0.336213, 0.126299, -1.15944, -0.243553, -0.0200634, -0.449005, 0.184555, -0.59147, -0.228964, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.00956216, 0.0240973, -0.0460283, -0.0422573, 0.0470276, -0.0136823, -0.0494514, 0.00567941, 0.0242707, -0.0503038, -0.0164402, 0.0277043, -0.0303913, -0.0217694, -0.0301067, -0.0190741, 0.0202955, 0.0294314, -0.0393539, -0.0476513, 0.0436678, -0.0243987, -0.0327396, 0.0122073, -0.0228659, -0.0449438, -0.00391303, -0.055782, -0.05322, -0.00401853, -0.0110225, -0.0374219, -0.000394821, -0.0400227, -0.0175835, -0.0232678, -0.0164518, 0.0240883, 0.0168853, 0.0207594, 0.0207826, -0.00552241, -0.0561098, -0.0613167, -0.0318415, -0.0174481, -0.0329674, 0.000880093, -0.0373354, 0.0132671, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.2843, 0.171157, -1.23256, -0.0965499, -1.19831, -0.203801, -1.71534, -0.262893, 0.600857, -0.624577, 0.879912, -0.00828633, 0.0358648, -0.75562, 3.41737, -0.594585, -0.0936104, -1.26997, -1.29738, -1.19797, -0.506167, -0.215826, -0.351719, -0.854529, 0.593451, -2.37265, -0.642178, -0.935602, 1.45002, 0.980193, -0.657726, 0.0407986, 0.267101, -0.0146275, -0.000792931, -0.00022672, -0.6924, 0.0611826, 0.00615577, -0.266923, 0.34721, -1.34067, 0.330305, -1.48083, -0.65235, 0.568766, 0.324373, -0.215507, -0.985461, -0.833958, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.322097, 0.21529, -0.155063, 0.0188719, -0.7912, 0.0493357, 0.0595934, 0.0566269, -0.381269, 0.142707, 0.0451268, 0.0162768, -0.194063, -0.0295947, -0.12187, 0.104035, 0.000925295, -0.12099, -0.200185, -0.199004, 0.187397, 0.275608, 0.0738693, 0.0605306, 0.130132, -0.0321685, 0.515072, 0.0868859, -0.0175129, -0.162612, 0.117228, -0.180394, -0.0709247, -0.136393, -0.0377572, -0.0279212, 0.170204, -0.236688, 0.00507712, -0.0677478, 0.118677, -0.10974, 0.0503019, -0.0700459, 0.161964, -0.485076, 0.386248, -0.0866183, -0.118766, 0.0402694, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.298741, 0.0537589, -0.880477, 0.0852511, -0.209628, -0.454965, -0.0421684, -0.34231, 0.370433, -0.0346656, -0.319485, 0.0369182, -0.0241914, 0.265358, 0.391416, 0.51824, 0.533355, -0.0746096, -0.0649574, 0.0310645, 0.239878, 0.280809, -0.0326011, 0.0856912, -0.0171674, 0.145716, -0.500919, -0.0419236, -0.28669, 0.0940325, 0.164587, 0.274536, -0.12813, 0.198707, 0.0129854, -0.0137151, 0.802858, 0.194622, -0.0141601, -0.142098, 0.184053, -0.600382, -0.357219, -1.53077, -0.0789789, 0.537063, 0.225768, 0.551246, -0.132464, 0.424606, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.00656137, -0.108047, -1.18433, -0.137524, -3.25582, 0.0607968, 0.122209, 0.104555, -0.1832, -0.132323, -0.301988, -0.0490903, 0.074215, -0.191129, 0.144351, 0.0958462, 0.0939973, 0.34632, 0.264229, 0.321987, 0.00936353, -0.242844, 0.0512045, 0.0418165, -0.0383875, -0.234419, -0.176822, -0.0215157, 0.166505, 0.237943, -0.0727396, 0.235996, 0.112611, -0.0413093, -0.00970079, -0.0503961, 0.0764456, -0.662416, 0.0279708, 0.0720363, 0.23467, -0.0627826, -0.140514, 0.43294, 0.0885496, 0.0424936, 0.170504, -0.468053, -0.0309243, -0.0803964, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.22776, -0.0672248, 0.517416, -0.0917742, 0.450131, -0.106323, -0.34711, -0.185229, -0.342581, -0.109264, 0.127342, 0.0241283, 0.0985372, -0.137255, -0.670873, 0.195439, 0.0559339, -0.987928, -2.15625, -0.183344, -0.254801, 0.217575, -0.0737772, 0.00419201, -0.111834, -0.127127, 0.00663441, 0.133839, 0.0771529, 0.394775, 0.123418, -0.101553, 0.182845, -0.0908593, -0.0251728, -0.0758335, 0.353778, -0.0373151, -0.0416398, -0.0529872, 0.00142398, -0.000177837, 0.0761933, 0.159624, -0.111398, 0.120395, -0.169276, 0.0835007, -0.506226, 0.0719226, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.150654, 0.0884404, 1.09659, 0.0467551, 1.10639, 0.160885, 0.0707352, -0.15721, -0.269094, -0.136357, 0.0291044, 0.0242598, 0.13392, 0.45383, -0.040959, 0.00351754, -0.0399612, 0.0421352, -0.0352719, 0.460579, 0.0989267, 0.562783, -0.0948584, -0.195423, 0.00706728, 0.100489, 0.197821, -0.236784, -0.21364, -0.374239, 0.199485, -0.0459509, -0.0109961, -0.240884, 0.00801917, -0.393664, 0.470445, -0.0130825, -0.00771181, 0.135263, -0.0484294, -0.0116606, -0.0581747, 0.132343, 0.0393722, -0.233303, 0.00316213, 0.55217, -0.187815, 0.150287, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.111045, 0.0168959, -0.00674192, -0.0442873, 0.4209, -0.040052, -0.0290449, 0.0479301, 0.292982, 0.03988, -0.0846548, 0.00272533, -0.0266471, 0.0798738, 0.0371315, 0.03731, -0.149593, -0.216015, -0.275302, -0.00701233, 0.16549, -0.0532967, 0.00176591, -0.0058236, 0.0106787, -0.0219368, -0.272762, -0.0660942, -0.0784901, -0.130385, -0.0613007, -0.119066, -0.0472337, -0.115655, 0.0085572, -0.206773, -0.523272, -0.00570929, -0.00427691, -0.00576312, -0.0550543, 0.026791, 0.0568519, 0.0365326, -0.00281495, -0.0360684, 0.168831, 0.0870617, -0.0635487, -0.0254935, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.129337, 0.00641768, 0.482891, -0.732718, -0.0354444, -0.320833, 0.0936882, 0.103339, -0.0283486, 0.0760448, -0.0980605, 0.0344032, -0.205898, -1.44755, -0.686483, 0.173531, -0.223902, 0.161345, -0.228566, -0.107478, -0.723872, 0.445276, -0.0159592, 0.552533, 0.0247291, 0.120399, -0.321303, 0.240846, -0.263341, 0.124911, -0.0608595, -0.516383, -0.257345, 0.143051, 0.0121773, -0.0869953, 1.31385, 0.270313, 0.0340856, -0.123595, -0.110524, 0.0601194, 0.238184, -0.707809, -0.319316, 0.281849, -0.0939851, -0.0974628, -0.433599, 0.225381, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0735474, 0.0643741, 0.318598, 0.291738, 0.00159705, 0.048055, 0.0783942, 0.0206889, 0.300171, -0.0678611, -0.0563426, -0.0274308, 0.259402, 0.0127372, 0.0314311, 0.205398, 0.0761332, 0.837015, 0.0713375, 0.77771, 0.125281, -0.224355, -0.049171, 0.0991073, -0.0298364, 0.259494, -0.0436475, 0.0284399, 0.121296, 0.280887, 0.13188, -0.0254216, 0.00840879, -0.329854, -0.0238931, -0.398439, -0.598721, -0.145893, -0.0419831, 0.341655, 0.0590207, -0.0277391, -0.164771, -0.425756, 0.140213, 0.179636, 0.501614, 0.287196, -0.0104081, 0.0214446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.666822, 0.114346, 0.670414, 0.087883, -2.08457, 0.36266, -0.103819, 0.322689, -0.715906, -0.188741, 0.174001, -0.0253762, 0.655706, 0.543015, 0.179684, -0.109056, -0.0579989, -0.0320985, 0.00516769, 0.208264, 0.715325, 0.728955, -0.0697269, -0.228715, -0.0258306, 0.0140709, -0.652358, 0.240135, -0.655717, 0.134364, 0.831191, 0.0415726, 5.58121e-05, 0.0680332, 0.0197082, 0.219762, 0.696094, -0.121774, -0.0426551, -4.24048, 0.0924124, 0.206576, -0.0465726, 0.436811, -0.187517, -0.643897, 0.143812, 0.317996, -0.747039, -0.0419137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.22726, 0.264677, 0.488817, -0.40775, 0.578935, 0.0961985, 0.0165446, 0.0598531, 1.48912, -0.0437964, -0.31732, 0.0248937, 0.0052005, 1.36, -0.100382, 0.290395, -0.306656, -0.0978547, -0.874932, -0.213612, 0.831137, -0.251938, -1.92234, -0.254359, -1.70441, 0.948076, -0.835644, -0.687544, -1.89803, -0.542845, -0.652941, -0.500627, -1.03358, -0.43585, -0.0396865, 0.0769766, 1.1164, 0.456162, 0.00634172, -0.340561, -0.5093, 0.884548, -0.00553923, -0.126668, -0.0114636, -0.188761, 0.0241062, 0.141289, -1.30816, 0.564136, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.209262, 0.0556101, 1.66894, -0.274543, 0.816918, 0.0197976, 0.139451, 0.217611, 0.611807, 0.147098, -0.233495, 0.0214755, -0.457293, 0.596118, -0.00352692, 0.145839, 0.102456, 0.572643, -0.271102, -0.135362, 0.629784, -0.176283, -0.142609, 0.109676, -0.115735, 0.643825, -1.68603, -0.335026, 0.980108, 0.12267, -0.406466, 0.154907, -0.336424, 0.024942, -0.0342311, 0.0152304, -1.07328, 0.0128665, 0.00892336, -0.477878, 0.241833, 0.0137817, -0.0638246, 2.75311, -0.291072, -0.322368, 0.442393, 0.097882, -0.705143, 0.062695, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.164849, 0.257043, 1.62906, -0.953398, 1.55243, -0.0789641, 0.0260989, -0.0593174, -0.368509, -0.234439, -0.525959, -0.000350152, -0.782329, 0.0709988, -0.512413, -0.113199, -0.271809, -0.857145, 0.608297, -1.0809, 0.149707, -0.152804, -1.36245, 0.165084, -0.666949, 0.0449221, -0.763129, -0.59453, -0.130676, 0.509833, -0.5401, 0.146774, -0.609992, -0.063285, -0.0412221, 0.510315, 0.269057, 0.35225, 0.0491518, -0.543104, -0.12882, 0.345454, 0.102289, 1.48516, 0.0903072, -0.952896, -0.375966, -0.501826, -2.06341, 0.279843, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.32942, -0.164023, -0.321117, -0.210427, 0.600901, -0.00988081, -0.0549079, 0.0592421, -0.255362, 0.270099, 0.156557, 0.0386022, 0.435564, -0.254989, -0.312416, 0.060389, -0.180267, 0.577509, -0.194762, -0.45366, 0.531349, 0.741547, -1.2085, -0.00656371, -0.40494, -0.0529981, -0.0707474, 0.439321, -0.163647, 0.115582, -0.347974, -0.183174, -0.692883, 0.0369505, -0.0346157, 0.0871139, -0.0524239, 0.0853121, -0.00922595, -0.123579, -0.346489, 0.100655, -0.280975, 0.0347676, 0.145222, 0.383274, -0.132744, -0.389745, -0.0256762, 0.0288548, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.126908, -0.0772799, 0.550433, 1.16004, -0.931518, -0.300769, -1.50263, 0.092554, 0.508356, 0.0390603, 0.476194, 0.0186524, 0.401356, 1.33922, -0.515473, -0.293363, -0.359846, 1.24202, -1.64163, -0.29248, 0.463478, 0.534453, -0.461614, 0.292896, 0.314735, 0.950478, 1.30145, -0.366422, 0.0180911, -0.70994, 0.653221, -0.446837, -1.13571, -0.522885, 0.0318257, -0.27458, -2.67956, 0.0605848, 0.00203037, 0.139541, 0.218653, -0.857878, -0.0921951, 0.328359, -0.335069, 0.452233, -0.268398, 0.464136, -1.45551, -0.344326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.2582, 0.281134, 0.419679, -1.36154, -2.71294, -0.421556, 0.359589, 0.689515, -0.117487, -0.128223, -0.111772, 0.0187213, -0.874379, -0.266764, -1.58237, 0.260814, -1.84988, -0.436965, -0.35366, -0.325058, -0.00937582, -1.00829, -0.677049, 0.657851, 0.187091, 0.601787, -0.156168, 0.695213, -1.72974, -0.749667, -0.768693, 0.0112109, -0.305983, 0.81623, 0.0357986, -0.640206, -2.1255, -0.190607, -0.0201174, 0.0216568, 0.0754708, 0.0421053, -0.350352, -3.95312, 0.410026, 0.485799, 0.308999, -0.250253, -2.32255, 0.705589, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [9.19612e-05, 0.0594377, -1.36137, -0.18307, -0.30102, 0.129083, 0.190493, -0.154637, -0.0978296, 0.104691, -0.0112809, -0.0245029, 0.11748, 0.0656144, -0.225125, -0.227465, -0.00824831, 0.0483405, -0.5158, -0.0518799, 0.0645644, -0.0686881, 0.208827, -0.134631, 0.0680679, 0.0600725, -0.270443, 0.0427221, -0.0957021, -0.0508785, 0.19163, -0.150255, -0.211029, -0.196861, -0.0428663, 0.0550024, 0.243791, -0.83503, 0.00251164, -0.236449, -0.0689932, 0.255526, 0.0174638, 0.445625, -0.119161, -0.265405, -0.0506639, 0.230107, -0.282405, -0.0165737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.70697, 0.126416, 0.848418, 0.0318112, 1.38762, 0.143628, 0.0915074, -0.837325, 0.22439, -0.335352, 0.0849477, -0.0378044, 0.307005, 0.348644, -0.129747, -0.0652013, -1.24248, 0.860293, -0.607679, 0.148281, 0.160192, 0.379576, -0.102484, 0.511031, -0.388009, -0.531934, -0.221598, 0.208759, 1.66535, 0.162432, -0.660541, 2.14226, 0.103381, 0.224778, 0.000171721, -0.303738, 0.820618, -0.291887, -0.00835724, -0.340284, 0.251154, 0.545266, -0.273047, 0.989883, -1.12696, -0.255384, -0.226662, 0.283329, -0.153454, -0.0558573, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.416102, -0.21, 0.689499, -0.084194, 1.09486, -0.177284, 0.0157212, 0.458204, -0.565454, 0.220438, 0.528394, -0.00679066, 0.49659, 0.181534, 0.378766, -0.284937, 0.699486, -0.17191, -0.235942, -0.36544, 1.45993, 0.191275, -0.425302, 0.492443, -0.345017, 0.44617, 0.219905, -0.745184, 0.0760954, -0.984984, -0.383009, 1.18945, 0.0158076, 0.267501, -0.0416792, -0.474745, -0.292153, 0.250806, -0.00879064, 0.358336, -0.728882, -0.64335, -0.232635, 0.413548, -0.0491317, 0.315397, 0.321261, 0.0936538, 0.436938, 0.145574, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3945, -0.0698, -0.2832, -0.2383, -0.2233, -0.2034, -0.104, 0.12317, -0.2917, -0.0919, -0.3188, 0.014854, 0.332, 0.02777, -0.405, 0.02756, -0.1114, -0.0672, -0.2273, -0.2002, 0.2224, 0.2966, -0.1114, 0.02759, -0.1493, 0.1252, 0.228, -0.07605, -0.02982, 0.168, -0.02696, -0.523, 0.010155, -0.07306, 0.02762, -0.005646, 0.1483, 0.0618, -0.02734, 0.03845, 0.3965, 0.0363, 0.04636, 0.068, 0.1982, -0.581, 0.1122, 0.1533, -0.1288, -0.0922], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1672, 0.2336, -0.4856, 0.05783, -0.3184, 0.571, 0.2678, 0.1521, 0.01877, 0.5493, -0.525, 0.02736, 0.11755, 0.598, -0.2644, 0.5435, -0.6313, 0.7627, -0.097, -0.09705, 1.319, 0.2566, -0.561, -0.411, -0.7124, 1.158, 0.2068, 0.04544, -1.445, -0.3247, -1.2295, -1.937, -0.482, 0.0372, -0.01389, 0.2742, -1.3, 0.3325, 0.01802, 0.1205, 0.0792, 0.966, -0.5684, -1.261, -0.1167, 0.0763, -0.196, -0.05988, -1.417, 0.4177], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002365, 0.004482, 0.1343, 0.1989, -0.1506, 0.11584, 0.03473, -0.1788, -0.2046, 0.05225, 0.1302, -0.0259, -0.03256, 0.02057, 0.0081, -0.03552, 0.1307, -0.1445, -0.05942, 0.412, 0.382, -0.01825, -0.2495, -0.0665, -0.01007, -0.03516, 0.2527, -0.02396, -0.2388, 0.0605, 0.1666, 0.1322, 0.01379, -0.13, 0.01521, -0.2471, 0.00602, -0.2035, -0.04065, -0.2427, -0.1805, 0.007614, -0.07574, -0.4094, 0.154, 0.0483, 0.3916, 0.518, -0.1112, -0.05045], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00529, 0.2935, 0.0821, -0.6177, 0.458, -0.005146, -0.0856, 0.005035, -0.05338, -0.1456, 0.463, -0.03967, -0.273, 0.3887, -0.3525, 0.05652, 0.0668, 0.2365, 0.8823, 0.9956, 0.06415, 0.04587, -0.562, -0.3213, -0.9336, 0.3948, -0.4792, -0.2993, -1.388, -0.896, 0.02705, -0.1952, -1.196, -0.535, 0.0269, -0.1735, 1.466, -0.09015, 0.01385, -0.10425, -1.002, 0.2688, -0.0905, -1.589, 0.09314, 0.8374, -0.07306, 0.194, -0.5522, 0.2952], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.084, -0.00951, 0.02045, -0.08496, 0.00789, -0.1504, -0.0852, 0.1665, -0.03537, -0.1251, -0.001403, 0.003244, -0.1823, 0.0359, -0.05972, 0.0727, 0.02063, 0.2257, 0.02304, -0.046, -0.2457, -0.172, -0.0728, 0.1301, 0.00629, -0.08594, -0.10077, -0.1494, 0.06146, 0.07355, -0.1586, 0.0293, -0.02322, -0.05774, -0.02429, -0.006683, 0.007248, 0.005672, -8.64e-05, -0.07324, -0.0327, -0.0857, -0.06186, -0.03232, -0.01582, -0.1461, -0.0986, -0.02388, -0.1393, 0.104], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.589, 0.1328, 0.3677, 0.2289, 0.3318, -0.312, -0.6987, 0.3389, 0.2698, 0.1716, 0.1614, 0.01704, -0.2805, 0.5146, -1.39, -0.0359, 0.2314, 0.1389, -0.11456, -0.0372, -0.18, 0.5293, -0.382, 0.2482, 0.2656, -0.432, -0.1625, 0.3972, 0.653, -0.234, -0.0427, 0.33, 0.2217, -0.03973, -0.02641, -0.326, 0.3994, 0.318, -0.03061, -0.1945, -0.03038, -0.4697, -0.12, -0.632, -0.6753, -0.3845, 0.3594, 0.4011, -0.1896, -0.5967], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6265, -0.1531, 1.466, -0.3142, -0.0998, -0.1208, 0.341, 1.451, 0.4636, -0.2786, -0.0694, -0.01797, -0.5537, -0.8794, -0.04022, 0.4636, -0.2369, -0.02327, 1.16, 0.5654, -0.2222, 0.899, 0.3174, -0.545, 0.01138, 0.0238, -0.583, 0.005028, 0.2277, 1.869, -0.02455, 0.2404, -0.2917, 0.2115, 0.00678, 0.05298, 0.7095, 0.1637, 0.04178, 0.0665, 0.4006, 0.3699, 0.0575, 0.1654, -0.007904, 0.776, 0.482, -0.6704, -0.551, -0.077], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1042, -0.0119, -0.0897, -0.1953, -0.5215, -0.35, 0.1841, 0.1069, -0.3503, 0.5205, -0.2334, 0.0152, -0.0568, 0.528, -0.5425, -0.1638, 0.5757, 0.05765, -0.2903, 0.1461, 0.14, -0.01171, -0.0306, 0.00992, -0.2443, 0.03543, -0.4155, -1.139, 0.1121, 0.421, -0.07886, 0.03265, 0.12317, -0.374, -0.01308, 0.1102, 0.2407, 0.12396, 0.003544, 0.1022, 0.2056, -0.4841, -0.0728, -2.66, 0.0806, -0.2379, -0.786, 0.6533, -0.3997, -0.4836], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.716, -0.4038, 1.085, -0.1342, 0.629, 0.2482, -0.3447, -0.11053, 0.3235, -0.02274, -0.01213, 0.03146, -0.5117, 0.1725, -0.1658, -0.1792, 0.4448, -0.383, 0.0533, 0.0725, 0.2358, 0.9214, 0.04697, -0.0814, 0.1412, -0.4985, -0.5356, -0.459, -0.2668, -0.2666, -0.04913, -0.1384, -0.035, -0.2399, 0.01595, -0.0495, 0.7007, -0.1041, 0.02303, -0.1078, 0.02504, -0.3586, -0.1562, 0.0852, -0.0632, -0.3162, 0.00896, 0.5566, -0.03854, 0.2463], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02036, 0.06616, 0.639, -0.02267, 0.529, -0.1802, -0.1024, 0.0832, -0.03482, -0.013916, 0.04144, -0.02798, 0.3828, 0.05963, -0.195, 0.010605, 0.01289, 0.1702, -0.0711, -0.2424, 0.00905, 0.4595, -0.1603, 0.07513, 0.0155, -0.12494, -0.4292, 0.03842, -0.1583, 0.03894, -0.1448, -0.0805, 0.02834, -0.0578, 0.02692, -0.02657, -0.0157, 0.0649, -0.01116, -0.03586, -0.10016, -0.06155, -0.05667, 0.2418, 0.02885, -0.05032, -0.2338, 0.1492, -0.3481, 0.219], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.346, 0.258, -0.581, 0.2303, 0.1705, -0.02939, -0.0984, -0.1655, 0.797, 0.1757, 0.305, -0.011856, 0.1974, 0.1481, 0.2888, -0.7954, 0.1527, -0.06604, 0.3718, 0.2734, -0.02353, -0.2268, -0.1566, 0.2365, -0.0201, 0.4656, -0.3423, 0.1995, -0.683, 0.524, -0.01105, -1.611, 0.15, -0.0925, 0.003515, 0.01688, 0.088, 0.05466, 0.015526, -0.03845, -0.1782, -0.2793, -0.1343, -3.96, -0.476, 0.9326, -0.1254, 0.2323, 0.1937, -0.00939], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2021, 0.1417, 1.241, 0.6, 0.1643, -0.59, -0.2542, 0.2783, 0.02913, 0.022, 0.02283, -0.03192, 0.11194, 0.003826, -0.883, -0.3794, -0.861, 0.1979, 0.1431, -1.166, -0.0661, 0.02711, -0.703, 0.1715, -0.2208, 0.5264, 0.236, 0.8945, -0.3552, 1.105, -0.334, -0.39, 0.597, 0.1458, -0.03665, -0.1136, -0.388, 0.393, -0.03174, -0.2834, -0.2369, -0.2255, -0.06885, -1.052, 0.4104, -0.4656, 0.2786, -0.0633, -0.8306, -0.336], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7075, 0.0243, -0.5977, -0.0752, 0.283, 0.2588, -0.4246, -0.9463, -1.082, -0.803, -0.1283, 0.00947, 0.00288, 0.644, -1.391, 0.2179, 0.1844, -0.2081, 0.2146, -0.129, 0.6523, 0.7295, 0.0381, -0.2769, -0.303, 0.6323, -0.4155, -0.7676, -0.872, -0.002548, 0.2189, -0.3176, -0.0233, -0.1915, 0.02931, 0.09, 0.4282, 0.09424, 0.0412, -0.1146, 0.3054, 0.06647, -0.06046, -0.526, 0.1041, -0.1942, -0.1672, -0.4094, -0.1534, 0.4053], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02527, -0.1368, -0.01017, 0.2262, 0.3865, -0.0686, -0.04388, 0.0942, 0.3186, -0.0607, 0.12494, 0.00317, 0.3198, 0.235, -0.03912, -0.0422, -0.12115, -0.2944, -0.2413, 0.2742, 0.1381, 0.3022, -0.1748, -0.0731, 0.0494, 0.00775, 0.252, -0.0675, -2.277, -0.1599, 0.02573, -1.651, 0.01253, -0.06055, 0.0383, -0.1399, -5.188, 0.061, -0.01551, 0.09125, -0.1887, -0.03958, -0.0854, 0.0381, 0.08563, -0.3977, -0.1831, 0.3005, -0.01068, -0.0586], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02489, -0.02574, -0.01842, 0.01945, -0.00125, -0.00652, 0.01717, 0.001594, -0.04306, -0.01485, -0.0392, -0.03568, -0.01921, 0.02411, 0.04346, -0.03622, -0.0332, -0.011345, -0.006493, -0.05542, 0.01454, -0.03748, -0.02545, -0.04276, 0.01155, -0.01668, -0.04504, 0.01252, -0.01958, 0.009796, 0.0337, -0.02495, 0.005005, 0.00548, 0.00973, -0.010864, 0.00996, 0.00629, -0.005093, 0.006348, 0.03111, -0.02785, -0.0352, 0.03976, -0.05658, -0.01854, -0.0516, 0.02292, -0.02747, 0.00555], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0716, -0.35, 0.264, 0.36, 1.71, -0.4812, -0.5093, 0.1875, 0.0739, 0.05322, 0.1381, -0.0003335, -0.2281, 0.6216, -0.486, 0.3633, -0.1476, -1.476, -0.116, 0.0478, 0.471, 0.3164, -0.5264, -0.09875, -0.01469, -0.1128, 0.3933, -0.0895, -0.418, -0.4949, -0.1378, 0.2275, 0.2595, 0.0939, -0.045, -0.375, 0.03265, 0.1952, -0.01015, -0.1785, -0.4226, -0.003733, -0.0738, 0.0184, 0.12006, 0.0754, -0.5645, 0.223, -0.52, 0.2942], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.494, -0.1599, 1.042, 0.1196, 0.188, 0.2822, 0.1799, 0.0707, 0.8022, -0.06586, -0.0982, -0.01218, -0.3215, -0.874, 0.2715, 0.1478, -0.06177, -0.1068, 0.1559, 0.09515, -0.2651, -0.6284, 0.1893, -0.1268, -0.005653, 0.271, 0.11456, 0.03708, 0.1377, -0.10406, 0.2473, 0.234, -0.1312, 0.34, 0.02295, 0.03078, 0.00396, 0.2563, 0.01467, -0.04608, 0.3145, -0.07806, 0.2457, -0.2096, -0.516, -0.01499, 0.2778, -0.353, -1.117, -0.1981], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2295, 0.02335, 0.64, -0.10956, 0.2825, 0.4663, -0.162, -0.2316, 0.2465, -0.4749, -0.003614, 0.03867, 0.1687, 0.5625, -0.3867, 0.04953, -0.556, 0.09955, -1.19, -0.8306, 0.6577, 0.2355, -0.2292, 0.00922, -0.5493, 0.07227, -0.08594, -0.10236, -0.1677, -0.3547, -0.2803, -0.4531, 0.1683, 0.04288, 0.04736, 0.1013, 0.0948, -0.3677, 0.03354, 0.03397, -0.4026, -0.0815, -0.336, 0.001045, 0.1283, 0.2712, -0.3179, -0.2461, 0.1771, 0.5566], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3162, -0.1892, -0.6606, 0.312, -0.985, 0.0819, -0.313, -0.0921, 0.5186, -0.3804, 0.2927, -0.02034, 0.501, -1.216, -2.344, 0.2119, 0.4436, 0.4023, -0.11957, 0.03455, 0.3079, -0.00211, -0.1598, -0.542, -0.06647, 0.5996, 0.0314, -0.0835, -0.555, -0.155, -1.294, 0.427, 0.0806, 0.07715, -0.0003717, -0.136, 0.2878, -0.4731, -0.04404, 0.11414, 0.1448, 0.073, -0.1641, -4.91, -0.02513, -1.301, -0.1538, -0.1147, -2.207, -0.3723], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.196, -0.12115, 0.8477, -0.2115, 1.854, 0.579, 0.005665, -1.003, 2.006, 0.3494, 0.7925, -0.010735, 0.04227, -0.631, 0.3074, -0.7163, 0.727, 0.11707, -0.1056, -0.2328, -0.203, 1.385, 0.3628, 0.4756, -0.01762, 0.01706, 0.1389, 0.3093, -0.01651, 0.2932, -0.579, -0.1976, 0.08325, 0.1647, 0.02684, 0.3506, -0.4412, -0.967, 0.02234, 0.4978, 0.12067, 0.6733, -0.1494, 4.04, -0.207, 0.6113, 0.3135, -0.446, 0.2113, -0.0715], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.02922, 0.0539, 0.2031, 0.0002241, -0.1808, -0.07825, -0.074, 0.04248, -0.0824, 0.05426, 0.01837, 0.0188, 0.1567, 0.0327, 0.003807, -0.083, 0.0896, 0.01187, -0.09344, -0.1431, 0.02087, -0.069, -0.0559, 0.01747, -0.01567, 0.0517, 0.1071, 0.03056, -0.03842, -0.1146, -0.0715, -0.003572, -0.01183, -0.006256, 0.01549, -0.00817, 0.02455, -0.1874, 0.03494, -0.07135, -0.0755, -0.01639, 0.02608, -0.925, -0.03775, -0.0484, -0.08545, 0.095, -0.02614, -0.11053], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.05258, 0.08594, 1.054, -0.3005, 0.662, -0.003141, 0.05652, -0.1521, -1.171, 0.3823, -0.4731, -0.012184, -0.385, 0.663, -0.1776, 0.001453, -0.06396, -0.701, 0.4233, -0.3896, 0.3774, 0.4304, -1.434, -0.04034, -1.158, 0.2966, -0.1696, 0.0774, -1.424, -0.3328, -0.537, -0.10187, -0.1737, -0.1304, -0.01562, 0.07336, 0.7363, -0.1566, 0.011566, 0.2239, -0.4539, 0.3167, 0.02281, -0.6343, -0.02365, 0.3945, -0.03793, -0.4868, -0.1733, 0.1038], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06052, -0.201, 0.88, 0.0984, 0.251, 0.12445, -0.0429, -0.04062, 0.2952, 0.01509, 0.1654, -0.04025, -0.2703, 0.2961, -0.03555, 0.05518, -0.1527, -0.2356, -0.2554, 0.2778, 0.0914, -0.02626, -0.0953, -0.1206, 0.0448, 0.2952, -0.04855, -0.1549, -0.1274, -0.1207, 0.3188, -0.0907, -0.02078, -0.2206, -0.01095, -0.0798, -0.04, -0.0336, -0.03226, -0.387, -0.12384, 0.2362, 0.03604, -0.641, 0.1555, 0.08673, 0.1395, 0.414, -0.1838, 0.07275], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2622, 0.0975, -0.8804, 0.041, -2.215, -0.08246, -0.0743, 0.05414, 0.1036, 0.188, 0.09033, -0.05405, 0.3137, 0.716, 0.2423, 0.01327, -0.227, -0.1231, 0.1344, -0.1565, 0.3525, -0.3267, -0.1167, -0.02505, 0.09607, 0.09607, 0.815, -0.2468, -0.8184, -0.1206, 0.862, -0.1704, 0.02362, -0.3064, 0.01564, -0.092, 0.1836, -0.233, 0.04086, 0.2996, -0.2795, -0.1497, -0.00419, 0.579, 0.3137, -1.068, -0.02568, 0.6377, -2.32, -0.2307], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.07263, -0.4856, 1.099, 0.0666, 1.921, -0.9814, -0.3894, 0.135, -1.003, -0.0649, 0.0941, -0.0283, -0.1106, -0.1321, -0.2988, -0.3997, 1.934, -0.436, -0.9595, 0.03915, 1.654, 0.1423, -0.407, -1.205, -0.3362, 0.04913, -1.81, -0.263, -0.453, -0.883, -0.764, -1.254, -0.171, 0.04355, -0.01813, -0.1895, 1.3125, 0.5015, -0.01936, 0.662, -1.15, 0.8296, -0.282, -0.0894, -0.7407, -0.2313, 0.1272, 0.638, -1.452, -0.08044], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1197, -0.1722, 0.6343, 0.12384, -0.4136, -0.1565, -0.1755, 0.1495, 0.08435, -0.03577, -0.06775, 0.0272, 0.0713, 0.05853, 0.06055, -0.07043, -0.1427, 0.004814, 0.3901, 0.319, 0.0564, 0.04907, -0.1875, -0.1365, 0.2245, -0.2087, 0.07947, -0.185, -0.2158, -0.1482, 0.05588, 0.1078, 0.005405, -0.4746, -0.02185, -0.2363, 0.598, -0.1898, -0.0238, -0.1528, -0.03906, 0.0886, -0.07153, -0.1874, 0.1197, 0.5425, 0.1842, 0.08075, -0.05017, -0.0909], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01985, -0.1042, 0.746, 0.1882, 0.04156, 0.2103, 0.214, 0.3916, -0.2249, 0.2141, -0.2727, -0.0298, -0.689, -0.348, -0.11414, 0.4614, -0.02168, 0.2595, 0.08417, 0.624, 0.1664, 0.3381, 0.1294, 0.2122, 0.286, 0.2042, 1.395, 0.0299, -0.03117, 0.703, 0.4526, 0.2338, -0.1531, -0.2517, -0.00906, 0.2927, 0.1083, -0.354, 0.02682, -0.0981, 0.258, 0.2844, -0.2308, 0.03525, 0.4966, -0.2576, 0.3286, 0.441, -0.04886, 0.01055], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.22, 0.07007, 0.7935, 0.5044, -0.7515, -0.875, -1.234, 0.705, -0.05267, -0.3074, -0.0983, 0.03854, 0.2932, 0.005848, -0.638, -0.856, 0.275, 0.6006, 0.0311, -0.635, -0.05173, 0.2186, -0.316, 0.2297, 0.3635, -0.6196, 0.2343, 0.2291, 0.2302, 0.5796, 0.2312, 0.144, -0.01083, -0.3665, -0.00834, 0.3997, 0.2834, -0.2026, -0.01598, -0.00994, -0.3477, -0.591, -0.176, -1.8545, -0.4963, 0.10223, -0.3616, -0.1804, -0.584, -0.55], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0662, -0.0802, -0.528, -0.2698, -3.445, 0.3418, 0.268, -0.2184, -0.0584, 0.2047, -0.1724, 0.01726, 0.02852, -0.3604, -0.0559, -0.2256, -0.2021, 0.12445, 0.2206, -0.09375, -0.1476, -0.479, 0.2632, 0.02164, 0.0717, -0.1816, -0.2036, -0.0616, 0.0196, 0.0817, -0.00856, -0.03943, -0.1262, -0.0242, 0.03525, 0.2964, 0.275, -1.207, -0.03983, -1.526, 0.24, 0.2142, 0.2064, -0.517, 0.001667, -0.383, 0.272, -0.325, -0.2451, -0.1779], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1686, -0.1356, 1.029, -0.492, 0.4734, -0.3064, -0.346, 0.1511, -0.7617, 0.1897, -0.5747, 0.03702, -0.11615, 0.1852, 0.1721, 0.1602, -0.0701, -0.2817, -0.02284, -0.2393, 0.881, 0.968, -1.25, 0.1971, -0.476, 0.08734, 0.6304, -0.09814, -0.5737, 0.3398, 0.1897, -0.7554, 0.3179, 0.1987, 0.03534, 0.1681, -0.6265, -0.2856, -0.04834, 0.272, -0.0663, 0.3362, 0.1263, -1.159, -0.2435, -0.02007, -0.449, 0.1846, -0.5913, -0.229], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.00956, 0.0241, -0.04602, -0.04227, 0.04703, -0.01368, -0.04944, 0.00568, 0.02428, -0.0503, -0.01643, 0.02771, -0.0304, -0.02177, -0.0301, -0.01907, 0.0203, 0.02943, -0.03937, -0.04764, 0.04367, -0.0244, -0.03275, 0.01221, -0.02287, -0.04495, -0.003914, -0.0558, -0.05322, -0.004017, -0.011024, -0.0374, -0.0003948, -0.04, -0.01758, -0.02327, -0.01645, 0.0241, 0.01689, 0.02075, 0.02078, -0.005524, -0.05612, -0.0613, -0.03183, -0.01744, -0.03296, 0.0008802, -0.03732, 0.01327], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.284, 0.1711, -1.232, -0.09656, -1.198, -0.2039, -1.716, -0.263, 0.601, -0.6245, 0.88, -0.008286, 0.03586, -0.756, 3.418, -0.5947, -0.0936, -1.27, -1.298, -1.198, -0.5063, -0.2158, -0.3518, -0.8545, 0.5933, -2.373, -0.642, -0.9355, 1.45, 0.98, -0.6577, 0.0408, 0.267, -0.014626, -0.000793, -0.0002267, -0.6924, 0.0612, 0.006157, -0.2668, 0.3472, -1.341, 0.3303, -1.48, -0.6523, 0.569, 0.3245, -0.2155, -0.9854, -0.834], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.322, 0.2153, -0.155, 0.01888, -0.791, 0.04935, 0.0596, 0.05664, -0.3813, 0.1427, 0.04514, 0.01628, -0.1941, -0.0296, -0.1219, 0.10406, 0.000925, -0.121, -0.2002, -0.199, 0.1874, 0.2756, 0.07385, 0.06052, 0.1301, -0.03217, 0.515, 0.0869, -0.01752, -0.1626, 0.11725, -0.1804, -0.0709, -0.1364, -0.03775, -0.02792, 0.1702, -0.2367, 0.005077, -0.06775, 0.11865, -0.10974, 0.0503, -0.07007, 0.162, -0.485, 0.3862, -0.0866, -0.1188, 0.04028], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2988, 0.05377, -0.8804, 0.08527, -0.2096, -0.455, -0.04218, -0.3423, 0.3704, -0.03467, -0.3196, 0.03693, -0.02419, 0.2654, 0.3914, 0.518, 0.533, -0.0746, -0.06494, 0.03107, 0.2399, 0.2808, -0.0326, 0.0857, -0.01717, 0.1458, -0.501, -0.04193, -0.2866, 0.09406, 0.1646, 0.2744, -0.1282, 0.1987, 0.012985, -0.01372, 0.8027, 0.1946, -0.01416, -0.1421, 0.1841, -0.6006, -0.3572, -1.531, -0.079, 0.537, 0.2257, 0.5513, -0.1324, 0.4246], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.00656, -0.10803, -1.185, -0.1376, -3.256, 0.0608, 0.1222, 0.10455, -0.1832, -0.1323, -0.302, -0.0491, 0.0742, -0.1912, 0.1444, 0.0958, 0.094, 0.3464, 0.2642, 0.322, 0.00936, -0.2428, 0.0512, 0.0418, -0.0384, -0.2344, -0.1769, -0.02151, 0.1665, 0.2379, -0.07275, 0.236, 0.1126, -0.04132, -0.009705, -0.05038, 0.0764, -0.6626, 0.02797, 0.072, 0.2346, -0.0628, -0.1405, 0.4329, 0.08856, 0.04248, 0.1705, -0.468, -0.03093, -0.0804], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2278, -0.0672, 0.5176, -0.0918, 0.4502, -0.1063, -0.3472, -0.1852, -0.3425, -0.10925, 0.1273, 0.02412, 0.0985, -0.1372, -0.671, 0.1954, 0.05594, -0.988, -2.156, -0.1833, -0.255, 0.2175, -0.0738, 0.004192, -0.1118, -0.1271, 0.006634, 0.1338, 0.07715, 0.3948, 0.1234, -0.10156, 0.1829, -0.0909, -0.02518, -0.0758, 0.3538, -0.03732, -0.04163, -0.05298, 0.001424, -0.0001779, 0.0762, 0.1597, -0.1114, 0.1204, -0.1693, 0.0835, -0.5063, 0.0719], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1506, 0.08844, 1.097, 0.04675, 1.106, 0.1609, 0.07074, -0.1572, -0.269, -0.1364, 0.0291, 0.02426, 0.1339, 0.4539, -0.04095, 0.003517, -0.03995, 0.04214, -0.03528, 0.4607, 0.09894, 0.563, -0.09485, -0.1954, 0.00707, 0.10046, 0.1979, -0.2368, -0.2136, -0.3743, 0.1995, -0.04596, -0.010994, -0.2408, 0.00802, -0.3936, 0.4705, -0.013084, -0.007713, 0.1353, -0.04843, -0.01166, -0.05817, 0.1323, 0.03937, -0.2333, 0.003162, 0.5522, -0.1879, 0.1503], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.111, 0.01689, -0.00674, -0.04428, 0.421, -0.04004, -0.02904, 0.04794, 0.293, 0.0399, -0.08466, 0.002726, -0.02664, 0.0799, 0.03714, 0.03732, -0.1495, -0.2161, -0.2754, -0.00701, 0.1655, -0.05328, 0.001766, -0.005825, 0.01068, -0.02194, -0.2727, -0.0661, -0.0785, -0.1304, -0.0613, -0.1191, -0.04724, -0.11566, 0.00856, -0.2068, -0.5234, -0.00571, -0.004276, -0.005764, -0.05505, 0.0268, 0.05685, 0.03653, -0.002815, -0.03607, 0.1688, 0.08704, -0.06354, -0.0255], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1294, 0.006416, 0.483, -0.733, -0.03543, -0.3208, 0.0937, 0.10333, -0.02835, 0.07605, -0.0981, 0.0344, -0.2059, -1.447, -0.6865, 0.1736, -0.2239, 0.1614, -0.2285, -0.1075, -0.7236, 0.4453, -0.01596, 0.5527, 0.02473, 0.1204, -0.3213, 0.2408, -0.2634, 0.12494, -0.06085, -0.5166, -0.2573, 0.1431, 0.01218, -0.087, 1.313, 0.2703, 0.0341, -0.1236, -0.11053, 0.06012, 0.2382, -0.708, -0.3193, 0.2817, -0.094, -0.0975, -0.4336, 0.2253], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07355, 0.0644, 0.3186, 0.2917, 0.001597, 0.04807, 0.07837, 0.02069, 0.3003, -0.0679, -0.05634, -0.02744, 0.2595, 0.01273, 0.03143, 0.2054, 0.0761, 0.837, 0.07135, 0.778, 0.1252, -0.2244, -0.04916, 0.0991, -0.02983, 0.2595, -0.04364, 0.02844, 0.1213, 0.281, 0.1318, -0.02542, 0.00841, -0.3298, -0.0239, -0.3984, -0.5986, -0.1459, -0.042, 0.3416, 0.05902, -0.02774, -0.1648, -0.4258, 0.1403, 0.1797, 0.5015, 0.287, -0.01041, 0.02144], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.667, 0.1143, 0.6704, 0.0879, -2.084, 0.3625, -0.1038, 0.3228, -0.716, -0.1887, 0.174, -0.02538, 0.656, 0.543, 0.1797, -0.1091, -0.058, -0.0321, 0.00517, 0.2083, 0.7153, 0.729, -0.0697, -0.2288, -0.02583, 0.01407, -0.6523, 0.2401, -0.656, 0.1344, 0.831, 0.04156, 5.58e-05, 0.06805, 0.01971, 0.2197, 0.6963, -0.12177, -0.04266, -4.242, 0.0924, 0.2065, -0.04657, 0.4368, -0.1875, -0.644, 0.1438, 0.318, -0.747, -0.0419], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2273, 0.2646, 0.4888, -0.4077, 0.579, 0.0962, 0.01654, 0.05984, 1.489, -0.0438, -0.3174, 0.02489, 0.0052, 1.36, -0.1004, 0.2903, -0.3066, -0.09784, -0.875, -0.2136, 0.831, -0.252, -1.922, -0.2544, -1.704, 0.948, -0.8354, -0.6875, -1.898, -0.543, -0.653, -0.5005, -1.033, -0.4358, -0.03967, 0.07697, 1.116, 0.456, 0.00634, -0.3406, -0.5093, 0.885, -0.00554, -0.1267, -0.01147, -0.1887, 0.02411, 0.1412, -1.309, 0.564], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2092, 0.0556, 1.669, -0.2747, 0.817, 0.01979, 0.1394, 0.2177, 0.612, 0.1471, -0.2335, 0.02147, -0.4573, 0.596, -0.003527, 0.1459, 0.1025, 0.5728, -0.271, -0.1354, 0.63, -0.1763, -0.1426, 0.1097, -0.1157, 0.644, -1.686, -0.335, 0.98, 0.1227, -0.4065, 0.1549, -0.3364, 0.02495, -0.03424, 0.01523, -1.073, 0.01286, 0.00893, -0.4778, 0.2418, 0.01378, -0.06384, 2.754, -0.291, -0.3223, 0.4424, 0.0979, -0.705, 0.0627], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1648, 0.257, 1.629, -0.9536, 1.553, -0.079, 0.0261, -0.05933, -0.3684, -0.2345, -0.526, -0.0003502, -0.782, 0.071, -0.512, -0.1132, -0.2717, -0.857, 0.6084, -1.081, 0.1497, -0.1528, -1.362, 0.165, -0.667, 0.04492, -0.763, -0.5947, -0.1306, 0.51, -0.54, 0.1467, -0.61, -0.0633, -0.04123, 0.5103, 0.269, 0.3523, 0.04916, -0.543, -0.1288, 0.3455, 0.1023, 1.485, 0.09033, -0.953, -0.376, -0.502, -2.062, 0.2798], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3293, -0.1641, -0.321, -0.2104, 0.601, -0.00988, -0.0549, 0.05923, -0.2554, 0.27, 0.1566, 0.0386, 0.4355, -0.255, -0.3125, 0.0604, -0.1803, 0.5776, -0.1947, -0.4536, 0.5312, 0.7417, -1.209, -0.006565, -0.405, -0.053, -0.07074, 0.4392, -0.1637, 0.1156, -0.348, -0.1832, -0.693, 0.03696, -0.0346, 0.0871, -0.05243, 0.0853, -0.009224, -0.1236, -0.3464, 0.10065, -0.281, 0.03476, 0.1453, 0.3833, -0.1327, -0.3896, -0.02568, 0.02885], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.127, -0.0773, 0.5503, 1.16, -0.9316, -0.3008, -1.503, 0.0925, 0.5083, 0.03906, 0.476, 0.01865, 0.4014, 1.339, -0.5156, -0.2935, -0.3599, 1.242, -1.642, -0.2925, 0.4634, 0.5347, -0.4617, 0.293, 0.3147, 0.9507, 1.302, -0.3665, 0.0181, -0.71, 0.6533, -0.4468, -1.136, -0.523, 0.03183, -0.2747, -2.68, 0.06058, 0.00203, 0.1395, 0.2186, -0.858, -0.0922, 0.3284, -0.335, 0.4521, -0.2683, 0.464, -1.455, -0.3442], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2583, 0.2812, 0.4197, -1.361, -2.713, -0.4216, 0.3596, 0.6895, -0.1175, -0.1282, -0.11176, 0.01872, -0.8745, -0.2668, -1.582, 0.2607, -1.85, -0.437, -0.3538, -0.325, -0.00938, -1.008, -0.6772, 0.6577, 0.1871, 0.6016, -0.1561, 0.6953, -1.7295, -0.7495, -0.7686, 0.01121, -0.306, 0.8164, 0.0358, -0.64, -2.125, -0.1906, -0.02011, 0.02165, 0.0755, 0.0421, -0.3503, -3.953, 0.41, 0.4858, 0.309, -0.2502, -2.322, 0.7056], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.197e-05, 0.05945, -1.361, -0.1831, -0.301, 0.129, 0.1906, -0.1547, -0.09784, 0.1047, -0.011284, -0.0245, 0.1175, 0.0656, -0.2251, -0.2274, -0.00825, 0.04834, -0.5156, -0.05188, 0.0646, -0.06866, 0.2089, -0.1346, 0.06805, 0.06006, -0.2705, 0.04272, -0.0957, -0.05087, 0.1917, -0.1503, -0.211, -0.1969, -0.04288, 0.055, 0.2438, -0.835, 0.002512, -0.2365, -0.069, 0.2556, 0.01747, 0.4456, -0.11914, -0.2654, -0.05066, 0.2301, -0.2825, -0.01657], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.707, 0.1265, 0.8486, 0.0318, 1.388, 0.1437, 0.0915, -0.8374, 0.2244, -0.3354, 0.08496, -0.0378, 0.307, 0.3486, -0.1298, -0.0652, -1.242, 0.8604, -0.608, 0.1483, 0.1602, 0.3796, -0.1025, 0.511, -0.388, -0.5317, -0.2216, 0.2087, 1.665, 0.1625, -0.6606, 2.143, 0.1034, 0.2247, 0.0001718, -0.3037, 0.821, -0.292, -0.008354, -0.3403, 0.2512, 0.5454, -0.273, 0.9897, -1.127, -0.2554, -0.2267, 0.2834, -0.1534, -0.05585], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.416, -0.21, 0.6895, -0.08417, 1.095, -0.1772, 0.01572, 0.4583, -0.5654, 0.2205, 0.5283, -0.00679, 0.4966, 0.1815, 0.3787, -0.285, 0.6997, -0.1719, -0.236, -0.3655, 1.46, 0.1913, -0.4253, 0.4924, -0.345, 0.4463, 0.2198, -0.745, 0.0761, -0.985, -0.383, 1.189, 0.01581, 0.2676, -0.0417, -0.4749, -0.2922, 0.2507, -0.00879, 0.3584, -0.729, -0.6436, -0.2327, 0.4136, -0.04913, 0.3154, 0.3213, 0.0936, 0.437, 0.1456]]
[-0.05517, -0.41406, 0.00147459, 0.270908, 0.266349, 0.339115, -1.09298, -0.118075, 0.32458, 0.350027, -0.435274, -0.324719, 0.118225, -0.12467, -0.0112359, 0.400903, -0.0751572, 0.105492, 0.166529, -1.80453, 0.242993, 0.997409, 0.157498, -0.302264, -0.313302, 0.201528, 1.38927, -0.153251, -0.150237, -0.208844, -0.0267342, 0.714946, 0.0299005, 0.0859659, 0.179722, 0.0543424, 0.628938, 0.35582, 0.0429705, -0.1283, -0.492417, 0.711508, -0.0960813, 0.354057, 0.29789, -0.0558874, 0.647395, 0.0917523, -0.134808, -0.457637, -0.05518, -0.414, 0.001474, 0.271, 0.2664, 0.339, -1.093, -0.1181, 0.3245, 0.35, -0.4353, -0.3247, 0.1182, -0.1247, -0.01124, 0.401, -0.07513, 0.10547, 0.1665, -1.805, 0.243, 0.9976, 0.1575, -0.3022, -0.3132, 0.2015, 1.39, -0.1532, -0.1503, -0.2089, -0.02673, 0.715, 0.0299, 0.08594, 0.1797, 0.05435, 0.629, 0.3557, 0.04297, -0.1283, -0.4924, 0.7114, -0.09607, 0.354, 0.2979, -0.05588, 0.6475, 0.09174, -0.1348, -0.4575]
ReLU
[[1.19856, -5.2736, 1.29713, -1.8057, 0.679566, 0.0200616, -0.0978012, -0.428467, 0.0653446, 0.184721, -1.13847, -2.21339, 1.51789, -2.00445, -0.0490455, 0.254396, -1.51046, -3.0976, 1.28141, -0.490671, 0.350551, 0.305607, 0.110554, -0.0931208, -0.705805, 0.0407504, -0.595095, 0.477821, -0.675144, -6.6947, -0.0186582, -0.0511238, -0.00634732, -0.122053, -2.77835, 0.0624439, -0.0192609, 0.210904, 0.404913, 0.337433, -0.365483, 0.916773, 0.341532, -0.556574, 0.643518, 0.134621, 0.103551, 0.180208, -0.643929, -2.40323, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.791084, -0.0521128, -0.012421, -0.778342, 0.283147, 0.140882, -0.822848, -0.0236888, -0.113649, -0.291234, 0.712137, -0.0322127, -0.00519318, 0.685603, -0.0472046, -0.456691, -0.095482, -1.39947, -1.1734, -0.42241, 0.517033, 0.0172928, 0.789601, -0.134189, -0.0819818, -0.0838573, -0.254717, 0.0791558, 0.411466, -0.56319, -0.00565683, -0.161927, 0.00688844, 0.376549, -0.200882, 0.376838, 0.142127, -0.0836615, -0.00685535, -0.288473, -0.0750875, -0.0507471, 0.034295, -0.0829864, -1.11979, 0.214975, 0.0145735, 0.181379, -0.010088, 0.534855, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0336413, 0.00614336, -0.206014, -0.0967756, 0.137649, 0.13282, 0.00971234, -0.113643, 0.111385, -0.152487, 0.0296728, -0.146209, -0.0213322, 0.47489, 0.0205464, -0.0906401, 0.0253444, 0.0536029, -0.0262852, -0.0364311, 0.102347, -0.0522534, 0.190123, -0.00268967, -0.284861, 0.00661579, -0.0602937, 0.0258108, -0.189344, 0.00571491, 0.015177, -0.0430637, 0.151927, -0.0534963, 0.0670439, 0.260669, -0.093356, 0.432446, 0.100444, -0.00212756, 0.0254017, -0.029724, 0.0493804, -0.144043, -0.194092, -0.0580166, -0.0373464, 0.0816236, -0.181281, 0.0121875, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.819622, -0.443324, -0.899584, -4.03005, 1.01218, -0.34668, -0.614413, 0.478658, -0.180645, -0.0947237, -0.697789, 0.267241, 0.655578, -0.10198, -0.0115482, -2.29843, 0.164173, -0.142047, -0.159367, -0.130286, 0.127784, 0.0251399, -0.785865, 0.59198, -0.0467374, 0.328313, -0.362113, 0.165664, 0.192757, 0.0189089, 0.040117, 0.0676332, -0.249704, -0.0330399, -0.700324, 1.49254, 0.00515676, -0.798711, -0.0603887, -0.812875, 0.219867, 0.116239, -0.244189, -0.136569, 0.0168666, 0.372757, 0.0953885, 0.385389, -0.255994, 0.00448128, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.808388, -1.11746, 0.00600567, -0.0942385, -1.36987, 0.211582, -1.27142, -0.220083, -0.609608, 0.618153, 0.0342699, -0.158673, 0.658208, -0.0235423, 0.0130907, -0.109872, 0.69239, 0.176648, -1.71402, -0.00313639, 0.33404, 0.0507125, -0.0185591, -0.902106, -0.039112, -0.0303346, -0.328713, 0.111292, -0.118869, -1.1738, 0.0426996, -0.153194, 0.488541, 0.104577, -0.115502, -0.0325386, -1.47525, -0.15775, -0.620608, -3.18943, -0.407467, -0.00667328, 0.244244, 0.16131, -0.859347, -0.21563, -0.0618716, -0.869865, -0.596625, -0.0482055, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.33589, -0.802057, 0.980884, -0.846318, 1.56473, -0.817757, -2.63111, -1.31727, 2.34263, 0.457075, 1.20697, 0.208561, 0.628854, 0.511963, -0.03759, 1.20697, 1.11832, -0.61092, 1.60149, 0.502712, 1.66799, 0.979897, -4.37137, -0.344345, 0.779617, 1.13319, -0.795044, 0.637918, 0.378667, -1.92862, 0.0179367, -0.201617, 0.898387, 0.507195, -6.17426, 2.00077, 0.135212, 0.153903, 0.6812, 0.800123, -1.07945, 0.389204, -1.08981, -2.93928, -0.851558, -0.0527082, 0.0843737, -0.0419459, 1.50512, -0.634665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.275972, -0.130013, 0.58243, 0.268366, -0.176791, -0.0549646, -0.143108, 0.174439, -0.503865, 0.363741, 0.321226, 0.0401685, 0.259458, 0.688884, 0.0188854, -0.153156, 0.179762, 0.166052, -0.0045154, -0.117083, 0.423212, 0.00832562, -0.701403, 0.191123, 0.211125, -0.958682, -0.146644, -0.711451, -0.687163, -0.16821, -0.0101731, 0.0521221, 0.364517, 0.186716, -0.00734984, -0.303907, -0.0646018, -0.104218, 0.102132, 0.222534, -0.229707, -0.0364104, -0.223922, 0.0743263, -0.186733, 0.0335083, -0.208399, 0.619113, -0.117025, 0.0934824, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.171187, 0.0176758, 0.316695, 0.0349668, 0.113002, -0.0824087, -0.402542, -0.0481486, -0.0128091, -0.0200425, -0.116402, -0.0193029, -0.0474177, -0.744586, 0.0393744, -0.0938967, 0.0651699, -0.0401039, 0.00349345, -0.423646, 0.216801, 0.0144096, -0.0417771, -0.0192839, -5.0723, 0.471193, -0.241398, -0.0250004, 0.166984, 0.0183705, 0.0609433, -0.0423167, -0.0163528, 0.108242, -0.119714, -0.0407586, -0.121134, -0.0728283, 0.0503357, 0.0583264, 0.102529, -0.0230062, 0.0422168, -0.00566565, -0.0262187, -0.14652, -0.0699396, 0.00655708, 0.0325026, -5.77519, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.63828, 0.0556105, 0.116301, 0.19067, 0.378307, 0.0775454, 0.0684849, 0.180886, -0.11376, 0.334729, -0.109286, -0.164442, 0.375902, -0.785563, -0.00756307, 0.0632693, -0.0378673, -0.236101, 0.0623752, -0.0473392, -0.11243, -0.0206413, -0.140821, 0.220015, -0.402706, 0.338876, -0.0157695, 0.0727495, -0.979838, -0.0207351, -0.0571425, -0.0317285, -0.196272, -0.161392, -0.249041, -0.309002, 0.174828, -0.104393, -0.126622, -0.0223369, 0.285337, -0.0863469, 0.403811, 0.222824, -0.341031, -0.157786, 0.0353524, -0.457194, -0.0164959, -0.0440194, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0801672, 0.0128917, -0.102315, 0.0212603, -0.0153865, -0.00716372, 0.00134683, 0.175494, -0.0234007, 0.172343, 0.00633682, -0.0833113, 0.0549369, -0.234336, 0.0270847, 0.0405411, -0.00388466, 0.0107343, 0.0568159, -0.0180211, -0.272439, -0.0678942, 0.0173198, 0.0596354, -1.28936, 0.047228, 0.0327774, -0.0597747, -0.0215491, 0.0731884, -0.0407886, 0.014332, -0.078375, -0.0105672, 0.0207992, -0.133283, -0.0244234, -0.206667, -0.0173139, -0.0305459, 0.0126371, -0.0464625, -0.13147, 0.0471418, -0.0523576, -0.171036, -0.0121894, 0.0388833, 0.00477893, 0.072892, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.16136, -0.000184964, -1.20826, -1.21499, -0.227231, 0.0120912, -0.00490979, -0.250432, 0.0325096, -0.253734, -0.00568159, 0.103728, -0.150965, 0.00524101, -0.0102682, -0.408192, 0.00898414, 0.0433333, -0.0384007, 0.0238663, -1.18121, 0.0922296, -0.122439, -1.38202, 0.0192119, -0.717515, -0.046711, 0.0679078, 0.0343212, -0.191875, 0.00997644, -0.0220028, 0.109285, 0.0166201, -0.0248549, -0.127997, -0.954835, -0.375414, -0.224259, -10.3869, -0.0198484, -0.0597212, 0.181907, -0.0666924, 0.06159, 0.26071, -0.0135262, -0.0444358, -0.00511537, 0.00739468, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.125264, -0.383297, 0.775209, -0.106853, 0.143347, -0.694942, -1.18876, -0.0602632, -0.428188, 0.00649975, -0.246592, -0.105568, 0.00499895, -0.868721, -0.0460759, 0.38383, -0.146635, -0.14355, -0.371972, 0.115388, 1.02073, 0.267015, 0.0734498, -0.13028, 1.08292, -0.339692, -0.0605315, -0.511816, -0.125342, -0.226624, 0.0306808, -0.205164, -0.216416, -0.160886, 0.289112, -0.223405, -0.024806, -0.199193, 0.680327, -0.0193251, 0.406642, 0.0468056, 0.686934, 0.179623, 0.584758, 0.385344, 0.0540674, -0.194738, 0.0651817, 0.0518546, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.00061, 0.110482, 0.0890109, 0.206889, 0.657712, 0.115725, 0.0784285, 0.20562, -0.11495, 0.425845, -0.161164, -0.252464, 0.479217, -0.786578, 0.0268611, 0.0169335, -0.0266702, -0.253401, 0.0206431, 0.00169543, -0.109344, -0.0176137, -0.11173, 0.324216, -0.846007, 0.433482, -0.0419945, 0.0559172, -1.15564, -0.0507883, 0.0403415, -0.0559642, -0.213904, -0.198575, -0.352805, -0.26304, 0.19061, 0.0272728, -0.159355, -0.0310528, 0.224353, -0.146671, 0.290666, 0.214335, -0.465559, -0.153362, 0.0187259, -0.432795, -0.0673301, 0.0838614, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.646593, -0.362406, 0.455863, -3.28154, 0.634407, -0.0233196, -1.97162, -0.11452, 0.565816, -0.186329, 0.286621, 0.216606, 0.211865, 0.336094, 0.0319558, -0.734733, 0.192054, -0.370499, 0.16587, -0.656411, 0.350987, 0.187382, -0.45065, -0.000490672, 0.491209, 0.403182, -0.0890521, -0.246531, 0.0738345, -0.395209, 0.0348225, 0.0448757, 0.118522, 0.303963, -0.0310417, 0.810546, -0.129206, 0.51541, 0.969469, 0.0421142, -0.52382, -0.0857299, 0.31364, -1.03159, -0.803021, 0.311736, -0.010255, 0.675973, 0.0387672, -0.397248, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.063141, 0.00234431, 0.0965807, 0.0578523, 0.0659321, 0.12356, 0.0331076, 0.0349742, -0.082123, 0.45824, 0.0157071, -0.145037, 0.163974, -0.726365, 0.0175014, 0.0714604, -0.0515334, -0.217366, -0.0312957, -0.00762547, 0.127974, -0.0156515, -0.138942, 0.0250519, 0.473442, 0.0939578, -0.0184372, -0.0903592, -0.405678, 0.0727017, 0.0454914, -0.0503869, 0.0214238, -0.0328622, -0.0263982, -0.168634, 0.200713, 0.51535, 0.0693174, -0.0190356, 0.11786, 0.0115946, 0.0954632, 0.033653, -0.163257, -0.0463248, 0.015284, -0.156983, -0.0634339, -0.421221, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0465721, 0.00780748, -0.0368262, 0.0266493, -0.138735, -0.0788746, 0.0485877, -0.0233732, -0.0290322, 0.0454699, -0.0475759, 0.000199089, 0.0364198, -0.00707604, 0.0192716, -0.0319105, -0.301883, -0.00973921, -0.0475667, 0.0212041, 0.00499269, -0.142462, -0.208831, 0.0243103, 0.0379098, -0.0457737, -0.14046, 0.0381402, -0.00894772, 0.00317564, 0.0224158, -0.245695, -0.278932, -0.376076, -0.225867, 0.0343894, 0.0424909, 0.0209852, -0.0341072, -0.027906, 0.0399168, 0.00843374, -0.0304028, -0.212003, -0.102181, -0.0445547, -0.141164, -0.0302667, 0.0257234, 0.0509156, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.78037, -0.804667, 0.215773, -0.610134, 1.20483, -0.750234, -2.56272, -0.131271, -0.711754, -0.110314, -0.283255, 0.186744, -0.629554, 0.383122, 0.0152166, -0.234115, -1.22822, -0.78814, 0.0465358, -2.53734, 0.0988339, 0.313467, -0.0411198, -0.294484, -1.61196, -0.161121, -0.145766, -0.403829, 0.0584405, 0.0130835, 0.0299857, -0.260541, 0.182256, 0.448751, 0.290082, 0.552026, 0.289521, 0.635643, 0.336265, -0.0241485, 0.450135, 0.397606, -0.0940208, -0.261448, 0.64094, 0.594153, 0.382393, 0.173147, -0.266732, 0.149635, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0192489, -0.047736, 0.906936, -0.155442, 0.483081, -0.0421451, -0.841276, -0.0463366, -0.0352379, 0.381433, -0.0642436, -0.250887, -0.0427752, -1.72653, 0.0377558, 0.172784, -0.00583235, 0.0820072, -0.120565, -0.211717, 0.772086, 0.272689, -0.502695, -0.248095, 1.25826, -1.14488, -0.147154, -0.312645, 0.0662615, -0.263638, -0.0204883, -0.438903, -0.463426, -0.164872, 0.111809, -0.164885, 0.0285079, 0.141216, 0.151543, 0.0497998, 0.205933, -0.131531, 0.427291, -0.0229684, -0.00689173, 0.470417, -0.0276062, -0.335636, -0.139207, 0.0539023, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0168671, -0.0264577, -0.03199, 0.0382419, -0.0370825, -0.0477856, 0.00857791, 0.00979861, 0.0483052, -0.0311509, 0.0359966, -0.00265194, 0.021979, -0.0120148, -0.00896832, -0.00970936, -0.00227202, 0.0263211, -0.0244211, -0.00904291, -0.045009, -0.0519108, -0.0692843, -0.0277686, -0.0186601, -0.0024282, -0.00166232, -0.0320164, -0.0345325, -0.00708944, 0.0238005, -0.0277686, -0.0500511, -0.0461939, -0.0250023, -0.00952011, -0.0819155, -0.0334395, 0.012135, -0.0339552, 0.0288604, -0.0183479, 0.0284793, 0.0169677, 0.00124054, 0.0284653, -0.0658922, -0.0189086, 0.0116039, 0.0470465, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.152484, 0.251689, -0.421962, 0.231551, 0.625993, 0.453422, -0.515439, -0.0269114, 0.00250726, -0.013819, -0.75194, -0.0617894, 0.150475, 0.623955, -0.0355594, -0.39287, -0.543007, 0.0415507, 0.204125, -0.320651, 0.26407, -0.175838, 0.540462, -0.0649583, -0.311827, 0.115383, -0.206741, 0.244774, -0.0823075, 0.284786, 0.0245875, 0.0166126, 0.134235, 0.0330577, 0.307359, 0.31791, 0.0136028, 0.145774, -0.21942, 0.00789902, -0.025195, -0.238846, 0.466709, 0.0765557, -0.248229, -0.270763, -0.121813, 0.222474, -0.225686, 0.0653341, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.674511, -0.0617472, 0.260243, 0.104527, 0.238853, -0.0826199, 0.0288767, 0.195223, -0.127365, 0.325351, -0.0559031, -0.101447, 0.306165, -0.636394, 0.0168049, 0.0883914, -0.00857013, -0.395197, -0.113619, 0.00485433, 0.0211205, 0.109989, -0.188991, 0.090571, -0.688027, 0.0923936, 0.0192501, -0.132426, -0.606793, -0.0342017, -0.0265392, -0.00453307, -0.138444, -0.0811426, -0.180859, -0.319397, 0.106031, -0.00519685, -0.00720217, -0.0159863, 0.328679, 0.031802, 0.332334, 0.0231345, -0.15817, -0.0699166, 0.0433976, -0.221497, -0.0215301, -0.0655855, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0207136, -0.150288, 0.0421361, -0.101981, 0.233886, -0.169003, 0.00801085, -0.0111976, -0.0712798, -0.0186935, 0.0235844, 0.0457039, -0.0676623, -0.649052, 0.0413279, 0.148793, -0.00615243, -0.172898, -0.203752, -0.0261859, -0.0232726, 0.0909994, 0.0574967, 0.011195, -3.24973, -0.158029, -0.00614499, -0.0913583, -0.334611, -0.0983786, 0.04723, 0.00485376, -0.0699855, 0.00837096, 0.0523971, -0.130135, -0.0319733, 0.297438, 0.388547, 0.00984884, 0.131287, 0.104955, -0.424224, 0.192946, 0.393844, -0.00928433, 0.0812105, 0.394615, 0.0423096, -0.46791, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.31334, -0.0210469, 0.692277, -0.12289, 0.0363021, 0.0262338, -1.20371, -0.174366, 0.0796365, 0.107736, -0.108605, -0.165473, 0.220706, -0.017833, -0.034248, -0.0501372, 0.140201, -0.249466, -0.295537, -0.077389, -0.120809, 0.0281012, -0.650821, -0.171758, 1.07418, -0.0237901, -0.229806, -0.0394975, -0.105173, -0.142873, -0.0323817, -0.0216126, -0.179154, 0.00240392, -0.575927, -0.427416, -0.104444, -0.0079211, -0.0284383, -0.142042, -0.0529926, -0.0870964, 0.0956287, -0.0229927, -0.168703, 0.140066, -0.0306211, 0.0476741, -0.00743127, 0.0439755, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.966865, -4.62969, 1.36603, -2.54942, 2.07347, -0.0775924, -1.15516, 1.51814, 0.481535, 0.629346, -0.390198, -0.276368, -0.686947, -1.31136, -0.00959171, -0.497838, -0.434677, -0.265151, 0.611344, -1.14631, 0.309319, -0.0624645, -0.688878, 0.986227, 1.89682, -0.854549, -0.727239, -1.22898, 0.209094, -3.63754, 0.0223146, 0.653418, -0.376585, 0.0479527, 1.94749, 1.06493, 0.528473, 0.0842846, 1.06089, 0.184408, 1.71624, -0.128539, -0.604356, 0.974888, 0.868386, -0.06343, 0.255165, 0.377113, -1.96547, -0.131402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.124942, -0.0165634, -1.23549, -1.2851, -1.0427, 0.12425, -1.71232, -0.182604, -0.57046, 0.597277, -0.952486, 0.059093, -1.31606, -0.0195909, 0.00552459, -0.609499, 0.0442357, -0.0156455, -0.253411, -1.9376, 0.0805259, -0.0855206, -0.0155943, 0.964843, -0.0217255, -0.207058, -0.143663, 0.0477306, 0.221239, -0.744471, 0.0404399, -0.181058, 0.0180497, 0.221786, 0.181979, -0.53681, -0.414711, 0.561528, -0.521254, -0.840658, -0.283428, 0.0196968, 0.036162, 0.216419, -0.0919695, 0.0502321, -0.158269, 0.0993866, -1.12773, 0.0257073, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.122701, -0.129399, -0.0512751, -0.110423, -0.319394, 0.0268863, -0.17395, 0.0885734, -0.0578924, 0.343237, -0.124042, -0.132687, -0.06936, -0.424448, -0.0295119, 0.0101364, -0.120411, -0.0381123, 0.425948, 0.178289, 0.363191, -0.0337942, -0.228142, 0.242646, 0.32422, -0.053478, -0.160585, -0.114095, 0.183851, 0.00332932, 0.0209377, -0.0302259, 0.0913886, -0.124681, 0.0119565, -0.107491, 0.284743, 0.0684283, -0.0810282, 0.0317791, -0.167022, 0.104023, -0.0409979, -0.0883394, 0.0301356, -0.00249542, 0.0375489, 0.0327708, -0.0603561, 0.118086, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0386431, -0.0389292, 0.00811377, -0.00824585, 0.00499497, -0.0504969, -0.0355661, 0.0424423, 0.0137288, 0.00226123, 0.0230908, -0.0532843, -0.0258035, -0.0209597, 0.0210502, -0.051792, -0.065902, 0.0251321, -0.00847434, 0.029085, -0.0059145, -0.0272406, 0.021119, -0.0203079, 0.0400996, -0.0280151, -0.0126288, -0.0249648, -0.0221361, 0.00126417, -0.0343554, -0.0012846, 0.0135789, 0.00754642, -0.0379604, 0.0292667, -0.00586018, 0.0308694, 0.0311882, -0.0307895, -0.00580854, -0.0340824, 0.00823928, -0.0145702, -0.0422318, 0.018944, -0.0174371, 0.0290673, -0.00891318, -0.0151427, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.936654, 0.584725, -0.143542, 0.477948, 3.34298, 1.32231, 0.225897, -0.584764, 1.48565, -1.58959, 1.2462, 0.752792, 1.63632, 3.77007, 0.0368324, -1.37328, -1.77806, 3.90107, 2.5396, -0.306279, 1.76926, -1.76114, 0.863493, -0.152101, -0.0524665, 1.90819, -0.990783, 1.16161, 0.974429, 3.43506, -0.040882, 0.387124, 0.779309, 0.694022, 0.655543, 3.16887, 0.0588415, 0.864611, 0.709956, 1.00559, -0.0978826, -1.63324, 2.78652, -0.339719, -0.956711, -0.372253, -1.67492, 1.04702, -1.06294, 3.60969, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.125278, -0.274634, -0.281476, -0.207979, 0.259052, 0.147088, -0.12812, 0.176838, -0.489056, -0.078424, 0.123102, -0.297252, -0.580658, -0.264472, -0.013548, -0.655275, 0.00295541, -0.29621, 0.662533, -0.0972838, 0.19967, 0.041423, 0.634466, 0.429676, -0.237505, -1.08168, -0.180901, -1.72495, 0.346547, -0.617092, -0.0213366, 0.182882, 0.14945, -0.0173566, -1.20694, -0.533316, 0.187206, -0.0816832, 0.264681, -0.200084, -0.578938, 0.110588, 0.0897472, -0.0534825, 0.181638, -0.100294, 0.00351641, 0.0693574, -0.804152, -0.291879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.158873, -0.00603903, -1.31998, 0.297058, -0.279209, -0.0158394, -0.00493588, -0.25041, 0.0336472, 0.158562, -0.00848859, 0.0969047, -0.194119, -0.0514112, 0.0135443, -0.333091, 0.00900124, 0.033672, -0.0582577, 0.0247709, -1.38495, 0.0958546, -0.144216, -1.12097, -0.0764648, -0.815466, -0.0496942, 0.0649128, 0.0363416, -0.170098, 0.028203, -0.0249662, 0.115685, 0.0166407, -0.0275851, -0.237263, -0.894748, -0.532843, -0.260745, -2.27721, -0.0205713, -0.054882, 0.165307, -0.0725698, 0.0764852, -0.551897, -0.00295306, -0.0647515, -0.00820652, 0.0154028, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.16883, -0.0651206, 0.443268, -0.053081, 0.39464, -0.257953, -0.11443, 0.109747, -0.104265, -0.268023, -0.0503619, -0.000119297, 0.138547, -1.38028, 0.0320016, -0.268405, 0.0871864, -0.222236, -0.442299, -0.0892889, 0.414357, 0.10841, -0.0573416, -0.0684529, -2.37327, -0.08384, 0.00783927, -0.41889, -0.221968, -0.163825, 0.0246436, -0.0303071, 0.120139, -0.0644116, 0.139877, -0.223089, -0.259787, 0.374402, 0.126876, -0.103269, 0.0549317, 0.1321, 0.0635627, -0.0269107, 0.0155815, 0.24694, 0.00249779, 0.208657, -0.0273146, -8.01581, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.154908, -0.0487214, 0.0833748, -0.10022, -0.201982, 0.000237714, -0.185759, 0.0789958, -0.119739, 0.126484, 0.0809291, -0.00110373, -0.0599289, -0.244999, 0.0123039, -0.0859602, -0.144233, -0.149458, 0.191405, 0.0957974, 0.0987379, -0.00579676, 0.0281222, 0.00540244, -0.0641099, 0.016493, -0.247609, -0.00683317, 0.0761068, -0.0130231, -0.0177056, -0.0207263, 0.248413, -0.0267152, 0.105468, -0.0633348, 0.200609, 0.185715, 0.0816136, 0.21232, -0.103335, 0.0419694, -0.170758, -0.0513239, 0.0707405, 0.072358, 0.0145434, -0.0221701, -0.0919108, 0.265584, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.328858, -1.2671, 0.229181, -0.644079, 0.201173, -0.100211, -0.615182, 0.0647675, -0.588152, 0.0270788, -0.875108, -0.70243, -0.116907, -0.634171, 0.0414115, -0.726099, -0.48715, -0.723091, 0.0717271, -0.402526, 0.234957, 0.128889, -0.244241, -0.0550716, -0.188016, -0.589276, -0.0660734, -0.701072, 0.0324404, -1.80207, -0.0231997, 0.0601641, 0.0436786, 0.18883, -2.17046, 0.309558, 0.0308564, 0.154353, -0.138792, 0.166519, 0.0977875, -0.173103, -0.188412, -0.337286, 0.0482981, -0.496246, -0.0103934, -0.0390742, 0.0680259, -0.709532, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0310269, 0.036343, -0.007068, 0.0374456, 0.0123575, -0.00945621, -0.0031095, 0.0298413, 0.0245039, -0.0381224, -0.00501176, 0.0293551, -0.0433695, -0.030311, -0.0253684, -0.0152317, 0.0344968, 0.0457726, -0.00697728, -0.0406797, -0.0258003, 0.0325081, -0.00109693, 0.0219164, 0.00624882, 0.0344853, -0.0553483, -0.0127848, -0.0296902, -0.0461026, -0.0255949, -0.0507061, -0.00583315, -0.0224036, -0.0220682, 0.0353683, -0.0246455, -0.0182523, -0.0264953, -0.0214051, 0.0298422, -0.0445423, -0.0391378, -0.0579142, -0.000669642, 0.0193968, 0.0205183, -0.00762875, -0.00350412, -0.0420504, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.932486, -0.397398, 0.275912, -0.332963, 0.860288, -0.460186, 0.207571, 0.115491, -0.215993, -0.191395, 0.245173, 0.178792, -0.366944, 0.0966333, -0.0174487, -0.171737, -0.583546, -0.4863, 0.20893, -0.659384, 0.106002, 0.182701, -0.0276811, -0.246012, 0.350493, -0.363511, -0.0626968, 0.114039, -0.0279555, -0.0732829, -0.00720855, -0.21676, 0.118397, 0.210773, 0.13979, 0.463436, 0.110549, 0.366134, 0.227172, 0.0181651, 0.237429, 0.278506, -0.34994, -0.0616441, 0.336606, 0.360534, 0.179975, 0.245998, -0.0963454, -0.0770072, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.0378284, 0.197056, -0.101686, -0.311328, 0.153078, 0.0291156, -0.0794145, 0.35961, -0.0252961, -0.161568, -0.0945318, -0.0276935, -0.447164, 0.524785, 0.0292032, -0.122858, 0.0479958, 0.511354, 0.244527, 0.0631454, 0.353215, -0.0168778, 0.0789336, 0.206075, -0.00207899, 0.0376653, 0.103779, -0.221731, -0.819229, 0.0537126, -0.011706, 0.0958083, -0.135649, 0.103681, -0.0833169, -0.0197795, -0.241546, 0.819301, -1.41318, 0.0161325, -0.287726, -0.373974, 0.949639, -7.61515, -1.22085, -0.0641848, 0.568003, 0.162502, -0.132974, 0.967146, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.676967, -0.679811, -0.384712, 0.601594, 0.660915, 0.257153, -0.806082, -0.0703759, 0.0516899, 0.114627, -0.717821, 0.11335, 0.284135, 0.541662, 0.0161154, -0.257195, -0.293145, -0.105329, -0.000910823, 0.161264, -0.0137785, -0.285727, 0.413586, 0.096435, -0.598709, 0.00372721, -0.0690494, 0.137552, -0.277865, 0.446925, 0.0150528, 0.00574834, 0.103175, -0.00635683, 0.147801, 0.265411, -0.0951716, 0.165842, -0.440199, 0.062799, 0.0213205, -0.574794, 0.226764, 0.130376, -0.394193, -0.294696, -0.306967, 0.128053, -0.0308666, -0.0951946, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.0741, -0.876131, 0.520121, -3.41458, -0.517754, 0.15772, -5.06954, -0.0544857, 0.751854, 1.1089, -0.560849, -0.784756, 0.0651457, -0.976424, 0.0228537, 0.74594, 0.3357, -0.0705249, -1.33249, -1.4456, 0.859033, -0.0802192, 0.117784, 0.080376, 0.023586, 0.264058, -0.0425052, 0.231696, 0.126216, 0.461601, 0.00830646, -0.365048, -0.33777, -0.488861, -1.34998, 0.217386, -0.481938, 0.0533654, -0.05032, -1.43986, -0.448489, 0.26505, 1.33056, 0.265123, -0.502132, 0.444405, -0.309292, -0.416039, -0.423764, -0.0257624, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.573825, 0.727983, 0.0173474, 0.900341, 2.09965, 0.9327, -0.722241, -0.255733, 0.357763, 0.458783, 0.223249, -0.0295357, 0.484921, 0.776486, 0.0454838, -0.943583, -0.842739, 1.74797, 1.45154, 0.322822, 0.929621, -0.776021, 0.406918, -0.259053, 2.09433, 0.917871, -0.477626, 0.426315, 0.335604, 1.4294, 0.0327432, 0.125784, 0.711853, 0.293099, 0.403733, 0.644522, 0.316657, 0.204329, -0.459519, 0.570889, -0.487142, -0.880838, 1.33556, -0.12558, -0.61211, -0.729114, -0.846499, 0.744522, -0.514212, 2.05967, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.00328, 0.267664, -0.332818, 0.219746, 0.212255, 0.288945, -0.601584, -0.242313, 0.728488, -1.44607, -0.69253, -0.0662037, 0.175912, 1.15374, 0.0333089, 0.072489, -0.605798, 0.162539, 0.116539, -2.87137, -0.412275, -0.436236, 0.151367, 0.145428, -2.27383, -0.259911, -0.503896, 0.286806, -0.192706, 0.355298, -0.0491782, 0.0688321, -0.161756, 0.382813, 0.569914, 1.12767, -0.135982, 0.0304729, 0.770713, -0.0288032, -0.245405, -0.509781, -0.0298527, 0.165277, -1.17508, 0.0992083, -0.257848, 0.310048, -0.235515, -4.88603, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.791605, -0.00363003, 0.228065, -0.0290047, 0.0595431, -0.151041, -0.233749, -0.461576, 0.110631, -0.0696158, -0.346092, -1.84419, -0.144842, -2.99533, 0.0385111, -0.458631, 0.0282542, -1.21284, -0.328254, -0.0029412, 0.403903, 0.0857554, 0.481798, -0.279337, -0.596794, -0.199052, -0.000961964, 0.118146, -0.878725, -0.0278193, -0.0273215, -0.11513, 0.307212, 0.0540292, 0.788735, 0.122991, -0.0768193, 0.130149, 0.168764, -0.278901, 0.212707, -0.0356152, -0.913074, -0.155573, -0.0686275, 0.0265831, -0.029235, 0.136667, 0.00449381, -0.800901, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.595515, -0.116789, -0.301899, 0.103152, 0.793846, 0.26416, -0.453375, -0.233103, -0.198258, -0.0504991, 0.00349821, -0.268413, 0.191643, -2.62236, 0.0458142, -0.196153, -0.0720697, -0.176324, 0.0833195, -1.1813, 0.0165962, 0.228273, 0.491883, -0.103394, -2.48404, 0.0338836, -0.0586895, 0.0263007, -0.115907, -0.163547, 0.0397172, -0.0617317, 0.151218, 0.0748305, -0.0631248, 0.446046, -0.0905586, 0.146601, -0.0827526, 0.0777634, -0.00188755, -0.318307, -0.0793139, 0.11354, -0.111041, -0.0651431, 0.00373632, 0.452711, -0.00196696, -6.62709, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.268911, 0.248625, 0.316077, 0.841161, -0.271784, 0.501048, -0.683601, -0.0482301, 0.913087, 0.48977, -0.3243, -2.05692, 0.562818, -0.0295952, -0.0138187, -0.171504, 0.295221, 0.0137745, -1.4399, -0.179159, 0.143164, -0.193622, -2.80578, 0.740346, 0.0530327, 0.276438, -0.304291, -0.664955, -3.0157, -0.292075, 0.0110354, -0.212292, -0.125818, -0.337584, -0.81964, -0.377276, 0.271764, -0.147612, -0.418544, -0.145567, -1.74961, 0.0666794, -0.0810734, -1.07511, -0.473428, 0.521112, -0.397485, -0.174341, 0.467947, 0.152104, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0321648, -0.0453668, -0.00982941, -0.0426006, 0.0440526, -0.0469973, -0.0227554, -0.0200065, -0.00984311, -0.0445772, -0.0219886, 0.034334, -0.0349944, 0.0261006, 0.041836, -0.0330251, 0.033061, -0.0495009, -0.00630699, 0.00428744, -0.0255602, -0.0529386, -0.0482525, 0.0331559, 0.0254827, 0.0423243, -0.0468273, 0.00118845, -0.0296898, -0.0284755, -0.0202901, 0.00151636, -0.0235319, 0.0377631, -0.0256537, 0.0213298, -0.0174569, -0.00674471, 0.0157408, -0.0276801, -0.010664, -0.0343251, -0.0452631, 0.0049836, -0.0344489, -0.00364969, 0.0203611, 0.0230815, -0.0401873, 0.0112896, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.272183, -1.69062, -0.221076, -0.0185538, 0.34676, 0.113752, 0.135929, -0.0641348, 0.146223, 0.67843, 0.491733, -1.19862, 0.291088, -0.709505, -0.0305695, 0.394903, 0.431133, -2.41698, -1.33529, -0.0660258, 0.820175, -0.245814, -1.87944, 0.0372214, 0.177071, 0.96034, -0.230147, 0.253552, -0.531598, -1.54337, 0.0124476, -0.0413641, -0.361693, -0.702805, -1.79017, -0.239268, 0.066388, -0.151588, 0.34657, 0.346575, 0.121971, -0.391969, -0.287366, -2.10891, -1.7322, 0.272176, 0.750396, 1.02344, -0.267136, -0.308086, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.832541, 0.18616, 2.00786, 0.162028, -0.627433, 0.25583, -1.29033, 1.16604, 0.137802, 0.675992, 0.190154, -0.471154, 0.377208, -0.794899, -0.0149787, 0.0509846, -0.1384, 1.56989, 1.5729, 0.197029, -0.365807, -0.252909, 0.271578, 0.710562, 1.80081, 2.34735, -0.766044, 1.19482, 1.02454, -0.0202696, -0.0217579, -0.471711, 0.157278, -0.533481, 2.02866, 0.683544, 0.520323, 0.29388, -0.0979851, 0.855753, -0.389333, -0.192152, -0.312452, -0.0515205, 0.273506, 0.0447274, 0.115884, 0.585611, 0.0298367, 0.986852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.553815, -2.00451, 1.75843, -3.74978, 1.98838, 0.103485, -3.01689, 1.31215, -0.21715, 0.521207, 0.81373, 0.745594, 1.68404, 1.41088, 0.0140152, -0.472545, -0.896933, 1.96126, 2.26396, -4.86679, 0.863266, -0.287087, 0.408271, 0.37381, -3.21861, 0.651352, -0.737176, -0.0431734, 0.688335, 0.38943, 0.0451008, 0.463653, 1.08309, -0.0377993, 0.891475, 1.79311, 0.132899, 0.322034, 1.32263, 0.901755, 0.256372, -1.33986, 0.667835, 0.686367, -0.855807, 0.906345, -0.119589, 0.82336, -0.662731, 4.17468, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0435105, -0.0464409, -0.0206737, -0.0019694, -0.0458524, -0.0301267, -0.00546165, -0.000839011, -0.0361891, -0.0183104, -2.26534e-06, -0.00750355, -0.000181879, 0.0258565, 0.00499979, -0.0482592, -0.0166848, -0.0168063, 0.000935777, 0.00802342, -0.0235704, -0.022203, -0.033171, -0.0461815, 0.0327369, -0.0114613, -0.0472118, 0.0279999, 0.0129318, 0.0180052, 0.0243765, 0.0216209, -0.00686345, 0.0136825, -0.0343882, 0.00167086, 0.0174416, 0.00252868, -0.0287962, -0.0148266, 0.0341506, 0.00655522, 0.0135513, -0.0516736, 0.0188258, -0.041771, 0.0370319, -0.0290277, 0.0113881, -0.0116325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.265422, 0.223178, -0.108891, 0.179264, 0.376736, 0.0616265, -0.146034, -0.29828, 0.164492, -0.210374, 0.0807847, -0.0466287, 0.0399567, 0.304515, 0.0520915, -0.295629, -0.0900055, 0.0652596, 0.132837, -0.12104, -0.127389, -0.123028, -0.162043, 0.154378, -5.56749, 0.35457, -0.111121, 0.0689473, -0.0273452, 0.176148, -8.21597e-05, -0.00552005, -0.00987451, -0.0318841, -0.156771, 0.470616, -0.0722672, 0.204084, -0.360052, -0.0589275, 0.0383978, -0.181278, 0.204351, -0.0980948, -0.330591, -0.189026, -0.345315, 0.0624264, -0.0453207, -4.32467, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.844639, -0.410573, -0.108636, -0.207809, -0.942144, -0.0703094, -0.0555697, 0.225899, -0.0903032, 0.0151161, 0.039033, -0.0298935, -0.80037, -0.0142501, 0.0204604, -0.760019, -0.05008, 0.280293, -1.54037, -0.013285, 0.121351, 0.051325, -0.704353, -0.704665, 0.231591, -3.50007, -0.164944, 0.0683446, -0.0815007, -1.83369, -0.0380054, 0.00217174, -0.316092, -0.0403165, -1.06541, -1.43216, -0.120632, 0.256251, -0.132372, -0.137822, -0.896232, 0.0231758, 0.203364, -0.075809, -0.548057, -0.964494, -0.173738, -0.768237, -0.689428, -0.110624, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.198, -5.273, 1.297, -1.806, 0.6797, 0.02007, -0.0978, -0.4285, 0.06537, 0.1847, -1.139, -2.213, 1.518, -2.004, -0.04904, 0.2544, -1.511, -3.098, 1.281, -0.4907, 0.3506, 0.3057, 0.11053, -0.09314, -0.7056, 0.04074, -0.595, 0.4778, -0.6753, -6.695, -0.01866, -0.05112, -0.006348, -0.1221, -2.78, 0.06244, -0.01926, 0.2109, 0.405, 0.3374, -0.3655, 0.917, 0.3416, -0.5566, 0.6436, 0.1346, 0.1036, 0.1802, -0.644, -2.402], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.791, -0.05212, -0.01242, -0.7783, 0.2832, 0.1409, -0.8228, -0.02368, -0.11365, -0.2913, 0.712, -0.03223, -0.00519, 0.6855, -0.0472, -0.4568, -0.09546, -1.399, -1.174, -0.4224, 0.517, 0.01729, 0.7896, -0.1342, -0.082, -0.08386, -0.2546, 0.07916, 0.4114, -0.563, -0.005657, -0.162, 0.00689, 0.3765, -0.2009, 0.377, 0.1421, -0.0837, -0.006855, -0.2886, -0.0751, -0.05075, 0.0343, -0.083, -1.12, 0.215, 0.01457, 0.1814, -0.010086, 0.5347], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03363, 0.00614, -0.206, -0.0968, 0.1377, 0.1328, 0.00971, -0.11365, 0.1114, -0.1525, 0.02968, -0.1462, -0.02133, 0.4749, 0.02055, -0.09064, 0.02534, 0.0536, -0.02629, -0.03644, 0.10236, -0.05225, 0.1901, -0.00269, -0.285, 0.006615, -0.0603, 0.02582, -0.1893, 0.005714, 0.015175, -0.04306, 0.152, -0.0535, 0.067, 0.2607, -0.0934, 0.4324, 0.10046, -0.002127, 0.0254, -0.02972, 0.04938, -0.144, -0.1941, -0.058, -0.03735, 0.0816, -0.1813, 0.012184], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.82, -0.4434, -0.8994, -4.03, 1.012, -0.3467, -0.6143, 0.4788, -0.1807, -0.0947, -0.6978, 0.2673, 0.656, -0.102, -0.01155, -2.299, 0.1642, -0.1421, -0.1594, -0.1302, 0.1278, 0.02515, -0.7856, 0.592, -0.04672, 0.3284, -0.362, 0.1656, 0.1927, 0.0189, 0.04013, 0.0676, -0.2498, -0.03305, -0.7, 1.492, 0.005157, -0.799, -0.0604, -0.813, 0.2198, 0.1162, -0.2441, -0.1366, 0.01686, 0.3728, 0.0954, 0.3855, -0.256, 0.004482], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.8086, -1.117, 0.006004, -0.09424, -1.37, 0.2115, -1.271, -0.2201, -0.6094, 0.618, 0.03427, -0.1587, 0.658, -0.02354, 0.01309, -0.10986, 0.6924, 0.1766, -1.714, -0.003136, 0.334, 0.05072, -0.01855, -0.9023, -0.03912, -0.03033, -0.3286, 0.11127, -0.1189, -1.174, 0.0427, -0.1532, 0.4885, 0.10455, -0.1155, -0.03253, -1.476, -0.1577, -0.6206, -3.19, -0.4075, -0.00667, 0.2443, 0.1613, -0.8594, -0.2156, -0.06186, -0.8696, -0.5967, -0.04822], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.336, -0.8022, 0.981, -0.846, 1.564, -0.818, -2.63, -1.317, 2.342, 0.457, 1.207, 0.2086, 0.629, 0.512, -0.0376, 1.207, 1.118, -0.611, 1.602, 0.503, 1.668, 0.98, -4.37, -0.3442, 0.78, 1.133, -0.795, 0.6377, 0.3787, -1.929, 0.01793, -0.2017, 0.8984, 0.5073, -6.176, 2.0, 0.1353, 0.1539, 0.681, 0.8003, -1.079, 0.3892, -1.09, -2.94, -0.8516, -0.0527, 0.08435, -0.04193, 1.505, -0.635], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.276, -0.13, 0.5825, 0.2683, -0.1768, -0.05496, -0.1431, 0.1744, -0.504, 0.3638, 0.3213, 0.04016, 0.2595, 0.689, 0.01889, -0.1532, 0.1798, 0.166, -0.004517, -0.11707, 0.423, 0.00832, -0.701, 0.1912, 0.2112, -0.9585, -0.1466, -0.7114, -0.687, -0.1682, -0.01017, 0.05212, 0.3645, 0.1868, -0.00735, -0.304, -0.0646, -0.10425, 0.1021, 0.2225, -0.2297, -0.0364, -0.2239, 0.07434, -0.1868, 0.0335, -0.2084, 0.619, -0.117, 0.0935], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1711, 0.01767, 0.3167, 0.03497, 0.113, -0.0824, -0.4026, -0.04816, -0.01281, -0.02005, -0.1164, -0.0193, -0.04742, -0.7446, 0.03937, -0.0939, 0.0652, -0.0401, 0.003494, -0.4236, 0.2168, 0.01441, -0.04178, -0.01929, -5.074, 0.4712, -0.2415, -0.025, 0.167, 0.01837, 0.06094, -0.04233, -0.01636, 0.1082, -0.1197, -0.04077, -0.12115, -0.0728, 0.05032, 0.05832, 0.10254, -0.02301, 0.0422, -0.005665, -0.02621, -0.1465, -0.06995, 0.006557, 0.0325, -5.773], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.638, 0.0556, 0.1163, 0.1907, 0.3784, 0.0776, 0.0685, 0.1809, -0.1138, 0.3347, -0.1093, -0.1644, 0.376, -0.7856, -0.007565, 0.0633, -0.03787, -0.2361, 0.06238, -0.04733, -0.1124, -0.02065, -0.1409, 0.22, -0.4026, 0.3389, -0.01576, 0.07275, -0.98, -0.02074, -0.05713, -0.03174, -0.1963, -0.1614, -0.249, -0.309, 0.1748, -0.1044, -0.1266, -0.02234, 0.2854, -0.08636, 0.4038, 0.2228, -0.341, -0.1578, 0.03534, -0.4573, -0.0165, -0.044], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08014, 0.01289, -0.1023, 0.02126, -0.01539, -0.007164, 0.001347, 0.1755, -0.0234, 0.1724, 0.006336, -0.0833, 0.05493, -0.2344, 0.02708, 0.04053, -0.003885, 0.010735, 0.05682, -0.01802, -0.2725, -0.0679, 0.01732, 0.05963, -1.289, 0.04724, 0.03278, -0.05978, -0.02155, 0.0732, -0.0408, 0.014336, -0.07837, -0.01057, 0.0208, -0.1333, -0.02443, -0.2067, -0.01732, -0.03055, 0.012634, -0.04645, -0.1315, 0.04715, -0.05237, -0.171, -0.01219, 0.03888, 0.00478, 0.0729], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1614, -0.000185, -1.208, -1.215, -0.2272, 0.01209, -0.00491, -0.2505, 0.0325, -0.2537, -0.00568, 0.1037, -0.151, 0.00524, -0.01027, -0.4082, 0.00899, 0.04333, -0.0384, 0.02386, -1.182, 0.0922, -0.12244, -1.382, 0.01921, -0.7173, -0.04672, 0.06793, 0.03433, -0.1919, 0.00998, -0.022, 0.1093, 0.01662, -0.02486, -0.128, -0.955, -0.3755, -0.2242, -10.39, -0.01985, -0.05972, 0.1819, -0.0667, 0.06158, 0.2607, -0.01353, -0.04443, -0.005116, 0.007393], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1252, -0.3833, 0.7754, -0.1069, 0.1433, -0.695, -1.188, -0.06027, -0.4282, 0.0065, -0.2466, -0.1056, 0.004997, -0.8687, -0.04608, 0.3838, -0.1466, -0.1436, -0.372, 0.1154, 1.0205, 0.267, 0.0734, -0.1302, 1.083, -0.3396, -0.06052, -0.5117, -0.1254, -0.2267, 0.03069, -0.2052, -0.2164, -0.1609, 0.289, -0.2234, -0.02481, -0.1992, 0.68, -0.01932, 0.4067, 0.0468, 0.687, 0.1796, 0.585, 0.3853, 0.05408, -0.1947, 0.0652, 0.05185], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.001, 0.1105, 0.089, 0.2069, 0.6577, 0.1157, 0.0784, 0.2056, -0.1149, 0.4258, -0.1611, -0.2524, 0.4792, -0.7866, 0.02686, 0.01694, -0.02667, -0.2534, 0.02065, 0.001696, -0.1093, -0.01761, -0.11176, 0.3242, -0.846, 0.4336, -0.042, 0.0559, -1.155, -0.05078, 0.04034, -0.05597, -0.2139, -0.1986, -0.3528, -0.263, 0.1906, 0.02727, -0.1593, -0.03105, 0.2244, -0.1467, 0.2908, 0.2144, -0.4656, -0.1533, 0.01872, -0.4329, -0.0673, 0.08386], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6465, -0.3623, 0.4558, -3.281, 0.6343, -0.02332, -1.972, -0.1145, 0.566, -0.1863, 0.2866, 0.2166, 0.2119, 0.3362, 0.03195, -0.735, 0.192, -0.3706, 0.1659, -0.6562, 0.351, 0.1874, -0.4507, -0.0004907, 0.4912, 0.403, -0.08905, -0.2466, 0.07385, -0.3953, 0.03482, 0.04486, 0.1185, 0.304, -0.03104, 0.8105, -0.1292, 0.5156, 0.969, 0.0421, -0.524, -0.08575, 0.3137, -1.031, -0.803, 0.3118, -0.010254, 0.676, 0.03876, -0.3972], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0632, 0.002344, 0.09656, 0.05786, 0.0659, 0.12354, 0.0331, 0.03497, -0.08215, 0.4583, 0.0157, -0.145, 0.164, -0.7266, 0.0175, 0.0715, -0.05154, -0.2174, -0.03128, -0.007626, 0.1279, -0.01566, -0.1389, 0.02505, 0.4734, 0.09393, -0.01843, -0.09033, -0.4058, 0.0727, 0.0455, -0.05038, 0.02142, -0.03287, -0.0264, -0.1686, 0.2007, 0.515, 0.06934, -0.01904, 0.11786, 0.0116, 0.09546, 0.03366, -0.1632, -0.04633, 0.01528, -0.157, -0.0634, -0.4211], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04657, 0.00781, -0.03683, 0.02664, -0.1388, -0.07886, 0.04858, -0.02338, -0.02904, 0.04547, -0.04758, 0.0001991, 0.0364, -0.007076, 0.01927, -0.03192, -0.302, -0.00974, -0.04758, 0.02121, 0.004993, -0.1425, -0.2089, 0.0243, 0.0379, -0.04578, -0.1405, 0.03815, -0.00895, 0.003176, 0.02242, -0.2457, -0.279, -0.376, -0.2258, 0.0344, 0.04248, 0.02098, -0.03412, -0.02791, 0.03992, 0.00843, -0.0304, -0.212, -0.1022, -0.04456, -0.1411, -0.03027, 0.02573, 0.0509], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.78, -0.8047, 0.2158, -0.6104, 1.205, -0.75, -2.562, -0.1312, -0.712, -0.1103, -0.2832, 0.1868, -0.6294, 0.383, 0.01521, -0.2341, -1.229, -0.788, 0.04654, -2.537, 0.0988, 0.3135, -0.0411, -0.2944, -1.612, -0.1611, -0.1458, -0.4038, 0.05844, 0.013084, 0.02998, -0.2605, 0.1823, 0.4487, 0.29, 0.5522, 0.2896, 0.6357, 0.3362, -0.02415, 0.4502, 0.3977, -0.094, -0.2615, 0.641, 0.594, 0.3823, 0.1731, -0.2668, 0.1497], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01924, -0.04773, 0.9067, -0.1554, 0.4832, -0.04214, -0.8413, -0.04633, -0.03525, 0.3813, -0.0643, -0.251, -0.0428, -1.727, 0.03775, 0.1727, -0.005833, 0.08203, -0.12054, -0.2117, 0.772, 0.2727, -0.503, -0.248, 1.258, -1.145, -0.1471, -0.3127, 0.0663, -0.2637, -0.0205, -0.439, -0.4634, -0.1649, 0.1118, -0.1649, 0.0285, 0.1412, 0.1515, 0.0498, 0.2059, -0.1316, 0.4272, -0.02296, -0.006893, 0.4705, -0.0276, -0.3357, -0.1392, 0.0539], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01686, -0.02646, -0.03198, 0.03824, -0.03708, -0.0478, 0.008575, 0.009796, 0.0483, -0.03116, 0.036, -0.002651, 0.02197, -0.01202, -0.008965, -0.00971, -0.002272, 0.02632, -0.02441, -0.00904, -0.045, -0.0519, -0.0693, -0.02777, -0.01866, -0.002428, -0.001662, -0.032, -0.03455, -0.007088, 0.0238, -0.02777, -0.05005, -0.0462, -0.02501, -0.00952, -0.0819, -0.03345, 0.01214, -0.03397, 0.02885, -0.01834, 0.02847, 0.01697, 0.001241, 0.02847, -0.0659, -0.0189, 0.011604, 0.04706], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1525, 0.2517, -0.4219, 0.2316, 0.626, 0.4534, -0.5156, -0.02692, 0.002508, -0.01382, -0.752, -0.0618, 0.1505, 0.624, -0.03555, -0.3928, -0.543, 0.04156, 0.2041, -0.3206, 0.2642, -0.1758, 0.5405, -0.06494, -0.3118, 0.11536, -0.2068, 0.2448, -0.08234, 0.2847, 0.02458, 0.01662, 0.1343, 0.03305, 0.3074, 0.3179, 0.0136, 0.1458, -0.2194, 0.0079, -0.02519, -0.2389, 0.4668, 0.07654, -0.2482, -0.2708, -0.1218, 0.2225, -0.2257, 0.0653], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6743, -0.06174, 0.2603, 0.10455, 0.2389, -0.08264, 0.02887, 0.1952, -0.1273, 0.3254, -0.0559, -0.10144, 0.3062, -0.636, 0.0168, 0.0884, -0.00857, -0.3953, -0.11365, 0.004856, 0.02112, 0.11, -0.189, 0.0906, -0.688, 0.0924, 0.01926, -0.1324, -0.607, -0.0342, -0.02654, -0.00453, -0.1384, -0.0811, -0.1809, -0.3193, 0.106, -0.005196, -0.007202, -0.01599, 0.3286, 0.0318, 0.3323, 0.02313, -0.1582, -0.06995, 0.0434, -0.2216, -0.02153, -0.0656], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0207, -0.1503, 0.04214, -0.102, 0.2339, -0.169, 0.00801, -0.0112, -0.0713, -0.01869, 0.02359, 0.04572, -0.0677, -0.649, 0.04132, 0.1488, -0.006153, -0.1729, -0.2037, -0.02618, -0.02327, 0.091, 0.0575, 0.01119, -3.25, -0.1581, -0.006145, -0.0914, -0.3347, -0.0984, 0.04724, 0.004852, -0.07, 0.00837, 0.0524, -0.1301, -0.03198, 0.2974, 0.3884, 0.00985, 0.1313, 0.105, -0.4243, 0.193, 0.3938, -0.009285, 0.08124, 0.3945, 0.0423, -0.468], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3132, -0.02104, 0.6924, -0.12286, 0.03632, 0.02623, -1.204, -0.1743, 0.07965, 0.1077, -0.1086, -0.1655, 0.2207, -0.01784, -0.03424, -0.05014, 0.1403, -0.2495, -0.2957, -0.0774, -0.1208, 0.0281, -0.651, -0.1718, 1.074, -0.02379, -0.2299, -0.0395, -0.10516, -0.1428, -0.03238, -0.0216, -0.1792, 0.002403, -0.5757, -0.4275, -0.10443, -0.00792, -0.02844, -0.1421, -0.05298, -0.0871, 0.09564, -0.023, -0.1687, 0.14, -0.03062, 0.04767, -0.00743, 0.04398], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.967, -4.63, 1.366, -2.549, 2.074, -0.0776, -1.155, 1.519, 0.4814, 0.6294, -0.3901, -0.2764, -0.687, -1.312, -0.00959, -0.4978, -0.4346, -0.2651, 0.6113, -1.146, 0.3093, -0.06247, -0.689, 0.9863, 1.896, -0.8545, -0.727, -1.229, 0.2091, -3.637, 0.02231, 0.6533, -0.3765, 0.04794, 1.947, 1.064, 0.5283, 0.0843, 1.061, 0.1844, 1.716, -0.1285, -0.6045, 0.975, 0.868, -0.0634, 0.2551, 0.3772, -1.966, -0.1313], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12494, -0.01656, -1.235, -1.285, -1.043, 0.12427, -1.712, -0.1826, -0.5703, 0.597, -0.9526, 0.05908, -1.316, -0.01959, 0.005524, -0.6094, 0.04425, -0.01564, -0.2534, -1.9375, 0.0805, -0.0855, -0.015594, 0.965, -0.02173, -0.207, -0.1437, 0.04773, 0.2212, -0.7446, 0.04044, -0.181, 0.01805, 0.2218, 0.182, -0.5366, -0.4148, 0.5615, -0.5215, -0.841, -0.2834, 0.0197, 0.03616, 0.2164, -0.092, 0.05023, -0.1583, 0.09937, -1.128, 0.02571], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1227, -0.1294, -0.05127, -0.1104, -0.3193, 0.02689, -0.174, 0.08856, -0.0579, 0.3433, -0.124, -0.1327, -0.06934, -0.4246, -0.02951, 0.01014, -0.1204, -0.03812, 0.426, 0.1783, 0.3633, -0.03378, -0.2281, 0.2427, 0.3242, -0.05347, -0.1606, -0.1141, 0.1838, 0.00333, 0.02094, -0.03023, 0.0914, -0.1247, 0.011955, -0.1075, 0.2847, 0.0684, -0.08105, 0.03177, -0.167, 0.104, -0.041, -0.0883, 0.03014, -0.002495, 0.03754, 0.03278, -0.06036, 0.1181], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03864, -0.03894, 0.00811, -0.00825, 0.004993, -0.0505, -0.03555, 0.04245, 0.013725, 0.002262, 0.02309, -0.05328, -0.0258, -0.02097, 0.02106, -0.0518, -0.0659, 0.02513, -0.00848, 0.02908, -0.005913, -0.02724, 0.02112, -0.02031, 0.0401, -0.02802, -0.01263, -0.02496, -0.02214, 0.001265, -0.03436, -0.001285, 0.01358, 0.007545, -0.03796, 0.02927, -0.00586, 0.03087, 0.03119, -0.03079, -0.00581, -0.0341, 0.00824, -0.01457, -0.04224, 0.01895, -0.01744, 0.02907, -0.00891, -0.015144], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9365, 0.585, -0.1436, 0.478, 3.344, 1.322, 0.226, -0.585, 1.485, -1.59, 1.246, 0.753, 1.637, 3.77, 0.03683, -1.373, -1.778, 3.9, 2.54, -0.3064, 1.77, -1.761, 0.8633, -0.1521, -0.05246, 1.908, -0.9907, 1.161, 0.9746, 3.436, -0.0409, 0.3872, 0.7793, 0.694, 0.656, 3.168, 0.05884, 0.8647, 0.71, 1.006, -0.0979, -1.633, 2.787, -0.3396, -0.9565, -0.3723, -1.675, 1.047, -1.0625, 3.61], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1252, -0.2747, -0.2815, -0.208, 0.259, 0.1471, -0.1282, 0.1769, -0.489, -0.0784, 0.1231, -0.2974, -0.5806, -0.2644, -0.01355, -0.6553, 0.002954, -0.2961, 0.6626, -0.0973, 0.1997, 0.0414, 0.6343, 0.4297, -0.2375, -1.082, -0.1809, -1.725, 0.3464, -0.617, -0.02133, 0.1829, 0.1494, -0.01735, -1.207, -0.533, 0.1873, -0.08167, 0.2646, -0.2001, -0.579, 0.1106, 0.0897, -0.0535, 0.1816, -0.1003, 0.003517, 0.06934, -0.804, -0.292], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1588, -0.00604, -1.32, 0.297, -0.2793, -0.01584, -0.004936, -0.2505, 0.03366, 0.1586, -0.00849, 0.0969, -0.1941, -0.05142, 0.01354, -0.333, 0.009, 0.03366, -0.05826, 0.02477, -1.385, 0.0958, -0.1442, -1.121, -0.0765, -0.8154, -0.04968, 0.06494, 0.03635, -0.17, 0.0282, -0.02496, 0.11566, 0.01665, -0.02759, -0.2373, -0.8945, -0.5327, -0.2607, -2.277, -0.02057, -0.05487, 0.1653, -0.0726, 0.0765, -0.552, -0.002953, -0.06476, -0.00821, 0.0154], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1688, -0.0651, 0.4434, -0.05307, 0.3945, -0.258, -0.11444, 0.10974, -0.10425, -0.268, -0.05035, -0.00011927, 0.1385, -1.38, 0.032, -0.2683, 0.08716, -0.2223, -0.4424, -0.0893, 0.4143, 0.1084, -0.05734, -0.0685, -2.373, -0.08386, 0.00784, -0.419, -0.2219, -0.1638, 0.02464, -0.0303, 0.1201, -0.0644, 0.1399, -0.2231, -0.2598, 0.3745, 0.1268, -0.1033, 0.05493, 0.1321, 0.06354, -0.02692, 0.01558, 0.247, 0.002499, 0.2086, -0.02731, -8.016], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1549, -0.04874, 0.0834, -0.1002, -0.202, 0.0002377, -0.1858, 0.079, -0.11975, 0.1265, 0.08093, -0.001103, -0.05994, -0.245, 0.01231, -0.08594, -0.1443, -0.1494, 0.1914, 0.0958, 0.09875, -0.0058, 0.02812, 0.0054, -0.0641, 0.0165, -0.2476, -0.006832, 0.0761, -0.01302, -0.0177, -0.02072, 0.2484, -0.02672, 0.10547, -0.06335, 0.2006, 0.1857, 0.0816, 0.2123, -0.10333, 0.04196, -0.1708, -0.05133, 0.07074, 0.0724, 0.01454, -0.02217, -0.0919, 0.2656], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3289, -1.268, 0.2291, -0.644, 0.2012, -0.1002, -0.615, 0.06476, -0.5884, 0.02708, -0.875, -0.7026, -0.1169, -0.6343, 0.0414, -0.726, -0.487, -0.723, 0.0717, -0.4026, 0.235, 0.1289, -0.2443, -0.05508, -0.188, -0.5894, -0.0661, -0.701, 0.03244, -1.802, -0.0232, 0.06015, 0.04367, 0.1888, -2.17, 0.3096, 0.03085, 0.1543, -0.1388, 0.1665, 0.0978, -0.1731, -0.1884, -0.3374, 0.0483, -0.4963, -0.01039, -0.03906, 0.06805, -0.7095], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03102, 0.03635, -0.00707, 0.03745, 0.01236, -0.00945, -0.003109, 0.02985, 0.0245, -0.03812, -0.005013, 0.02936, -0.04337, -0.0303, -0.02538, -0.01523, 0.0345, 0.04578, -0.006977, -0.04068, -0.0258, 0.0325, -0.001097, 0.02191, 0.00625, 0.0345, -0.05536, -0.01279, -0.0297, -0.0461, -0.02559, -0.05072, -0.005833, -0.0224, -0.02206, 0.03537, -0.02464, -0.01825, -0.02649, -0.02141, 0.02985, -0.04456, -0.03912, -0.05792, -0.0006695, 0.0194, 0.02052, -0.00763, -0.003504, -0.04205], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9326, -0.3975, 0.276, -0.333, 0.8604, -0.4602, 0.2075, 0.1155, -0.216, -0.1914, 0.2451, 0.1788, -0.367, 0.0966, -0.01746, -0.1718, -0.5835, -0.4863, 0.209, -0.659, 0.106, 0.1827, -0.02768, -0.246, 0.3506, -0.3635, -0.0627, 0.114, -0.02795, -0.0733, -0.00721, -0.2168, 0.1184, 0.2108, 0.1398, 0.4634, 0.11053, 0.3662, 0.2272, 0.01816, 0.2374, 0.2786, -0.3499, -0.06165, 0.3367, 0.3606, 0.1799, 0.246, -0.0964, -0.077], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03784, 0.197, -0.1017, -0.3113, 0.1531, 0.02911, -0.0794, 0.3596, -0.0253, -0.1616, -0.09454, -0.0277, -0.4473, 0.525, 0.0292, -0.12286, 0.048, 0.511, 0.2445, 0.0632, 0.3533, -0.01688, 0.0789, 0.206, -0.002079, 0.03766, 0.10376, -0.2217, -0.8193, 0.0537, -0.0117, 0.0958, -0.1356, 0.1037, -0.0833, -0.01978, -0.2416, 0.8193, -1.413, 0.01613, -0.2878, -0.374, 0.9497, -7.613, -1.221, -0.0642, 0.568, 0.1625, -0.1329, 0.9673], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.677, -0.6797, -0.3848, 0.6016, 0.661, 0.257, -0.806, -0.0704, 0.0517, 0.1146, -0.718, 0.11334, 0.2842, 0.5415, 0.01611, -0.257, -0.2932, -0.10535, -0.0009108, 0.1613, -0.01378, -0.2856, 0.4136, 0.09644, -0.5986, 0.003727, -0.06903, 0.1376, -0.2778, 0.447, 0.01505, 0.00575, 0.10315, -0.006355, 0.1478, 0.2654, -0.09515, 0.1659, -0.4402, 0.0628, 0.02132, -0.5747, 0.2268, 0.1304, -0.3943, -0.2947, -0.307, 0.128, -0.03087, -0.0952], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.074, -0.876, 0.52, -3.414, -0.5176, 0.1577, -5.07, -0.05447, 0.752, 1.109, -0.561, -0.7847, 0.0651, -0.9766, 0.02286, 0.746, 0.3357, -0.0705, -1.332, -1.445, 0.859, -0.0802, 0.1178, 0.0804, 0.02359, 0.2642, -0.0425, 0.2317, 0.1262, 0.4617, 0.00831, -0.365, -0.338, -0.4888, -1.35, 0.2174, -0.482, 0.05338, -0.05032, -1.439, -0.4485, 0.2651, 1.33, 0.2651, -0.502, 0.4443, -0.3093, -0.416, -0.4238, -0.02576], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5737, 0.728, 0.01735, 0.9004, 2.1, 0.9326, -0.722, -0.2556, 0.3577, 0.4587, 0.2233, -0.02954, 0.4849, 0.7764, 0.04547, -0.9434, -0.843, 1.748, 1.451, 0.3228, 0.9297, -0.776, 0.407, -0.259, 2.094, 0.918, -0.4775, 0.4263, 0.3357, 1.43, 0.03275, 0.1257, 0.712, 0.2932, 0.4038, 0.6445, 0.3167, 0.2043, -0.4595, 0.571, -0.487, -0.881, 1.336, -0.1256, -0.6123, -0.729, -0.8467, 0.7446, -0.514, 2.06], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.004, 0.2676, -0.3328, 0.2197, 0.2123, 0.289, -0.6016, -0.2423, 0.7285, -1.446, -0.6924, -0.0662, 0.1759, 1.153, 0.0333, 0.0725, -0.606, 0.1626, 0.1165, -2.871, -0.4124, -0.4363, 0.1514, 0.1454, -2.273, -0.26, -0.504, 0.2869, -0.1927, 0.3552, -0.04916, 0.06885, -0.1617, 0.3828, 0.57, 1.128, -0.136, 0.03047, 0.7705, -0.02881, -0.2454, -0.51, -0.02985, 0.1653, -1.175, 0.0992, -0.2578, 0.31, -0.2355, -4.887], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7915, -0.00363, 0.228, -0.029, 0.05954, -0.151, -0.2338, -0.4617, 0.11066, -0.06964, -0.3462, -1.844, -0.1449, -2.996, 0.0385, -0.4587, 0.02826, -1.213, -0.3284, -0.002941, 0.4038, 0.08575, 0.4817, -0.2793, -0.5967, -0.1991, -0.000962, 0.11816, -0.879, -0.02782, -0.02733, -0.1151, 0.3071, 0.05402, 0.7886, 0.123, -0.07684, 0.1301, 0.1688, -0.2788, 0.2126, -0.0356, -0.913, -0.1555, -0.0686, 0.02658, -0.02924, 0.1367, 0.004494, -0.801], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5957, -0.11676, -0.302, 0.10315, 0.794, 0.2642, -0.4534, -0.2332, -0.1982, -0.0505, 0.003498, -0.2683, 0.1917, -2.623, 0.0458, -0.1962, -0.0721, -0.1763, 0.0833, -1.182, 0.0166, 0.2283, 0.492, -0.1034, -2.484, 0.03387, -0.0587, 0.0263, -0.1159, -0.1636, 0.0397, -0.06174, 0.1512, 0.0748, -0.0631, 0.446, -0.0906, 0.1466, -0.08276, 0.07776, -0.001887, -0.3184, -0.0793, 0.1135, -0.111, -0.0651, 0.003736, 0.4526, -0.001966, -6.63], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2688, 0.2487, 0.3162, 0.8413, -0.2717, 0.501, -0.6836, -0.04822, 0.913, 0.4897, -0.3242, -2.057, 0.563, -0.0296, -0.01382, -0.1715, 0.2952, 0.01377, -1.439, -0.1792, 0.1432, -0.1936, -2.807, 0.74, 0.05304, 0.2764, -0.3042, -0.665, -3.016, -0.292, 0.01103, -0.2123, -0.1259, -0.3376, -0.82, -0.3772, 0.2717, -0.1476, -0.4185, -0.1455, -1.75, 0.06665, -0.08105, -1.075, -0.4734, 0.521, -0.3975, -0.1743, 0.468, 0.1521], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03217, -0.04538, -0.00983, -0.0426, 0.04407, -0.047, -0.02275, -0.02, -0.00984, -0.0446, -0.02199, 0.03433, -0.035, 0.02611, 0.04184, -0.03302, 0.03305, -0.0495, -0.006306, 0.004288, -0.02556, -0.05295, -0.04825, 0.03314, 0.02548, 0.04233, -0.0468, 0.001188, -0.0297, -0.02847, -0.0203, 0.001516, -0.02353, 0.03775, -0.02565, 0.02133, -0.01746, -0.006744, 0.01575, -0.02768, -0.010666, -0.03433, -0.04526, 0.004982, -0.03445, -0.003649, 0.02036, 0.02309, -0.0402, 0.01129], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2722, -1.69, -0.2211, -0.01855, 0.3467, 0.1138, 0.136, -0.06415, 0.1462, 0.678, 0.4917, -1.198, 0.291, -0.7095, -0.03056, 0.395, 0.4312, -2.416, -1.335, -0.06604, 0.8203, -0.2458, -1.88, 0.03723, 0.1771, 0.9604, -0.2301, 0.2537, -0.5317, -1.543, 0.01245, -0.04135, -0.3616, -0.7026, -1.79, -0.2393, 0.0664, -0.1516, 0.3467, 0.3467, 0.12195, -0.392, -0.2874, -2.11, -1.732, 0.2722, 0.7505, 1.023, -0.267, -0.308], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8325, 0.1862, 2.008, 0.162, -0.6274, 0.2559, -1.29, 1.166, 0.1378, 0.676, 0.1902, -0.4712, 0.3772, -0.795, -0.01498, 0.051, -0.1384, 1.57, 1.573, 0.197, -0.3657, -0.253, 0.2715, 0.7104, 1.801, 2.348, -0.766, 1.194, 1.024, -0.02026, -0.02176, -0.4717, 0.1572, -0.5337, 2.03, 0.6836, 0.5205, 0.294, -0.09796, 0.856, -0.3894, -0.1921, -0.3125, -0.0515, 0.2734, 0.04474, 0.1159, 0.5854, 0.02983, 0.987], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5537, -2.004, 1.759, -3.75, 1.988, 0.10345, -3.018, 1.3125, -0.2172, 0.521, 0.814, 0.7456, 1.684, 1.411, 0.014015, -0.4727, -0.897, 1.961, 2.264, -4.867, 0.8633, -0.287, 0.4082, 0.3738, -3.219, 0.6514, -0.7373, -0.04318, 0.6885, 0.3894, 0.0451, 0.4636, 1.083, -0.0378, 0.8916, 1.793, 0.1329, 0.322, 1.322, 0.902, 0.2563, -1.34, 0.668, 0.6865, -0.856, 0.9062, -0.11957, 0.823, -0.6626, 4.176], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04352, -0.04645, -0.02068, -0.00197, -0.04584, -0.03012, -0.005463, -0.000839, -0.0362, -0.01831, -2.26e-06, -0.007504, -0.0001819, 0.02586, 0.005, -0.04825, -0.01668, -0.0168, 0.0009356, 0.008026, -0.02357, -0.0222, -0.03317, -0.04617, 0.03275, -0.01146, -0.0472, 0.028, 0.01293, 0.018, 0.02438, 0.02162, -0.006863, 0.01368, -0.0344, 0.001671, 0.01744, 0.00253, -0.0288, -0.014824, 0.03415, 0.006554, 0.01355, -0.05167, 0.01883, -0.04178, 0.03702, -0.02902, 0.01139, -0.011635], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2654, 0.2231, -0.1089, 0.1793, 0.3767, 0.0616, -0.146, -0.2983, 0.1646, -0.2103, 0.0808, -0.04663, 0.03995, 0.3044, 0.0521, -0.2957, -0.09, 0.06525, 0.1328, -0.12103, -0.1274, -0.12305, -0.162, 0.1544, -5.566, 0.3545, -0.11115, 0.069, -0.02734, 0.1761, -8.214e-05, -0.00552, -0.00987, -0.0319, -0.1567, 0.4707, -0.07227, 0.2041, -0.36, -0.05893, 0.0384, -0.1813, 0.2043, -0.0981, -0.3306, -0.1891, -0.3452, 0.06244, -0.04532, -4.324], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8447, -0.4106, -0.10864, -0.2078, -0.9424, -0.0703, -0.05557, 0.226, -0.09033, 0.015114, 0.03903, -0.02989, -0.8003, -0.01425, 0.02046, -0.7603, -0.05008, 0.2803, -1.54, -0.01328, 0.12134, 0.05133, -0.7046, -0.7046, 0.2316, -3.5, -0.1649, 0.06836, -0.0815, -1.834, -0.038, 0.002172, -0.3162, -0.0403, -1.065, -1.433, -0.1206, 0.2563, -0.1323, -0.1378, -0.896, 0.02318, 0.2034, -0.0758, -0.548, -0.9644, -0.1737, -0.768, -0.6895, -0.1106]]
[-0.212903, 0.182912, 0.294447, 0.421061, -0.0592573, -0.967714, -0.017948, 0.51804, 0.089703, 0.061536, 0.31195, -0.413209, 0.338325, -0.486316, 0.203727, -0.040326, -0.307506, 0.0656241, -0.0348839, 0.341831, -0.00350424, 0.024518, 0.66187, -0.623189, -0.110449, -0.0576779, -0.0326065, -0.145466, -0.327978, 0.204077, -0.0212737, 0.38212, -0.145825, -0.0122828, -0.511678, -0.236328, -0.0236589, -0.578069, -0.0538618, 1.28348, -0.23811, -0.025243, -0.160462, -0.0100568, -0.32136, -0.94412, -0.569734, -0.0232011, 0.50376, 0.430217, -0.2129, 0.1829, 0.2944, 0.4211, -0.05927, -0.968, -0.01794, 0.518, 0.0897, 0.06152, 0.312, -0.4133, 0.3384, -0.4863, 0.2037, -0.0403, -0.3076, 0.0656, -0.03488, 0.3418, -0.003504, 0.02452, 0.662, -0.623, -0.1105, -0.05768, -0.0326, -0.1455, -0.328, 0.2041, -0.02127, 0.382, -0.1459, -0.01228, -0.5117, -0.2363, -0.02367, -0.578, -0.05386, 1.283, -0.2382, -0.02524, -0.1605, -0.010056, -0.3213, -0.9443, -0.57, -0.02321, 0.504, 0.4302]
Affine
[[0.0311363, 0.021332, 0.0156547, 0.0301171, -0.0373911, 0.00089417, 0.0761239, 0.0180874, -0.0461034, -0.0114239, -0.0492632, -0.00733474, 0.0310321, 0.0138711, 0.0339447, 0.080166, 0.000624227, 0.00301561, -0.0397885, 0.00416175, 0.0120533, -0.0019003, 0.0627496, 0.0090727, 0.0528913, 0.15909, 0.0401896, -0.00207119, 0.19518, 0.0373091, 0.00929955, 0.0678455, 0.273317, 0.00203153, -0.0111325, 0.0176728, -0.00963079, 0.00940763, -0.00327569, -0.000686916, -0.0101704, 0.0265932, 0.0485156, 0.0105183, 0.0616331, -0.0771396, 0.0064316, 0.00494547, 0.0024494, 0.220778, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0336187, 0.0330253, 0.0220682, 0.0112991, 0.010426, 0.00140145, 0.0720494, 0.0302077, -0.0667024, -0.010479, 0.00348592, -0.00366799, 0.048452, -0.0357569, 0.0252425, -0.0224898, 0.000175255, 0.0155461, -0.0358718, 0.0639306, 0.0201234, 0.000748235, 0.0673178, 0.00235554, -0.0248465, 0.140989, -0.0414995, -0.0178562, 0.221143, -0.00960825, -0.00934722, 0.0613298, 0.25773, 0.0271202, 0.000623006, 0.0120255, -0.086245, 0.010505, 0.0184982, 0.0289624, 0.00124739, 0.00065141, 0.0520729, -0.0123464, 0.0580412, -0.104911, 0.014544, 0.0437597, 0.0379914, 0.138431, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0334334, -0.0231073, -0.00394269, 0.00857865, 0.0412635, 0.0102076, 0.0672144, 0.0421754, -0.0592928, -0.0144876, 0.0043382, -0.0293053, 0.0525149, 0.030701, 0.0297776, -0.0332414, 0.0496387, 0.00936362, 0.0267396, -0.00433945, -0.00412172, 0.0327307, 0.0745555, 0.0136195, 0.0705568, 0.146654, -0.0224042, 0.000148633, 0.22632, -0.0117019, 0.034105, 0.0703715, 0.221153, -0.0137947, -0.0939027, 0.0119247, -0.0176763, 0.00495925, 0.00197745, -0.000649237, -0.00486524, 0.032884, 0.057414, -0.0122147, 0.0452115, -0.0903903, 0.00316948, 0.0476509, -0.00103161, 0.137308, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0175238, 0.0390974, 0.0296349, 0.0323329, 0.0630001, -0.00906851, 0.068537, 0.0220346, 0.00708795, -0.0183577, 0.00169787, 0.00391328, 0.00666335, 0.00654987, 0.0197361, 0.197612, 0.00156701, -0.0205335, 0.0176523, 0.0296748, -0.0110906, -0.00123054, 0.0446587, -0.00425121, 0.106657, 0.11643, -0.0166509, -0.0292301, 0.404294, -0.0142432, 0.000105885, 0.0574517, 0.529788, 0.00576397, -0.00792187, 0.0195785, -0.0460065, -0.0207282, 0.0399695, 0.0393625, -0.0183455, -0.00363583, 0.0719201, -0.00794416, 0.064749, -0.0856888, 0.0282881, 0.032218, 0.0452069, 0.169018, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0522202, 0.0448511, 0.0090499, 0.0533001, 0.0683254, 0.0199149, 0.0753103, 0.0161756, 0.00280614, -0.0267922, 0.00406951, -0.0448043, -0.00121838, 0.0454629, 0.0158951, 0.205502, 0.0523147, 0.0319274, 0.0033694, 0.00128094, 0.0123081, 0.0413012, -0.00206299, 0.0282486, 0.0868677, 0.144997, 0.000499032, 0.00276601, 0.221577, -0.0204992, 0.0344336, 0.0660014, 0.475033, 0.00622882, -0.0897541, 0.0143627, -0.00974689, 0.0352149, -0.00379227, -0.00133729, -0.0175241, -0.00127879, 0.0623146, 0.0426846, 0.0516489, -0.0513073, -0.017885, -0.0299122, -0.00960389, 0.110687, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03114, 0.02133, 0.01566, 0.03012, -0.03738, 0.000894, 0.0761, 0.01808, -0.0461, -0.01142, -0.04926, -0.007336, 0.03104, 0.01387, 0.03394, 0.08014, 0.000624, 0.003016, -0.0398, 0.00416, 0.012054, -0.001901, 0.06274, 0.00907, 0.0529, 0.159, 0.0402, -0.002071, 0.1952, 0.03732, 0.0093, 0.0679, 0.2734, 0.002031, -0.01113, 0.01767, -0.00963, 0.00941, -0.003275, -0.000687, -0.01017, 0.0266, 0.04852, 0.01052, 0.06165, -0.07715, 0.00643, 0.004944, 0.002449, 0.2208], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03363, 0.03302, 0.02206, 0.0113, 0.01043, 0.001402, 0.072, 0.03021, -0.0667, -0.01048, 0.003487, -0.003668, 0.04846, -0.03577, 0.02524, -0.02249, 0.0001752, 0.01555, -0.03586, 0.0639, 0.02013, 0.000748, 0.0673, 0.002356, -0.02484, 0.141, -0.0415, -0.01785, 0.2212, -0.009605, -0.009346, 0.06134, 0.2578, 0.02711, 0.000623, 0.012024, -0.08624, 0.010506, 0.0185, 0.02896, 0.001247, 0.0006514, 0.05206, -0.012344, 0.05804, -0.1049, 0.01454, 0.04376, 0.038, 0.1384], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03345, -0.0231, -0.003944, 0.008575, 0.04126, 0.01021, 0.0672, 0.04218, -0.0593, -0.01449, 0.004337, -0.02931, 0.05252, 0.0307, 0.02979, -0.03323, 0.04965, 0.00936, 0.02673, -0.00434, -0.00412, 0.03275, 0.0746, 0.01362, 0.07056, 0.1466, -0.0224, 0.0001487, 0.2263, -0.0117, 0.03412, 0.0704, 0.2212, -0.013794, -0.09393, 0.011925, -0.01767, 0.00496, 0.001978, -0.0006495, -0.004864, 0.0329, 0.0574, -0.012215, 0.0452, -0.0904, 0.00317, 0.04764, -0.001032, 0.1373], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01752, 0.0391, 0.02963, 0.03232, 0.063, -0.00907, 0.06854, 0.02203, 0.007088, -0.01836, 0.001698, 0.003914, 0.006664, 0.00655, 0.01973, 0.1976, 0.001567, -0.02054, 0.01765, 0.02968, -0.01109, -0.00123, 0.04465, -0.00425, 0.1066, 0.11646, -0.01665, -0.02924, 0.4043, -0.014244, 0.00010586, 0.05746, 0.53, 0.005764, -0.00792, 0.01958, -0.04602, -0.02072, 0.03998, 0.03937, -0.01834, -0.003635, 0.0719, -0.00794, 0.06476, -0.0857, 0.02829, 0.03223, 0.0452, 0.1691], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05222, 0.04486, 0.00905, 0.0533, 0.0683, 0.01991, 0.0753, 0.01617, 0.002806, -0.0268, 0.00407, -0.0448, -0.001219, 0.04547, 0.0159, 0.2054, 0.0523, 0.03192, 0.00337, 0.001281, 0.01231, 0.0413, -0.002064, 0.02824, 0.08685, 0.145, 0.0004992, 0.002766, 0.2216, -0.0205, 0.03442, 0.066, 0.475, 0.00623, -0.0898, 0.014366, -0.00975, 0.03522, -0.003792, -0.001337, -0.01752, -0.001279, 0.06232, 0.0427, 0.05164, -0.0513, -0.01788, -0.0299, -0.009605, 0.11066]]
[-0.0117725, -0.0173447, -0.0166083, -0.0160065, -0.0142434, -0.01177, -0.01735, -0.0166, -0.016, -0.014244]
| 17,636
| 74,037
| 0.558349
| 104,249
| 387,992
| 2.078054
| 0.183983
| 0.470616
| 0.698918
| 0.922584
| 0.238198
| 0.238198
| 0.238198
| 0.238198
| 0.238198
| 0.238198
| 0
| 0.644832
| 0.134325
| 387,992
| 21
| 74,038
| 18,475.809524
| 0.000155
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
981631de6a5bb21eacce7dcc280b4632fa14810d
| 13,514
|
py
|
Python
|
test/test_localstore.py
|
davidhwyllie/findNeighbour4
|
d42e10711e59e93ebf0e798fbb1598929f662c9c
|
[
"MIT"
] | null | null | null |
test/test_localstore.py
|
davidhwyllie/findNeighbour4
|
d42e10711e59e93ebf0e798fbb1598929f662c9c
|
[
"MIT"
] | 14
|
2021-11-26T14:43:25.000Z
|
2022-03-22T00:39:17.000Z
|
test/test_localstore.py
|
davidhwyllie/findNeighbour4
|
d42e10711e59e93ebf0e798fbb1598929f662c9c
|
[
"MIT"
] | null | null | null |
""" test localstore system for local json storage """
import unittest
import datetime
import os
from localstore.localstoreutils import LocalStore
class Test_LS_1(unittest.TestCase):
"""tests storage of json data for testing"""
def runTest(self):
# test whether a reference compressed data structure can be recovered from json
input = {
"A": set([1, 2, 3]),
"C": set([6]),
"T": set([4]),
"G": set([13, 14]),
"invalid": 1,
}
js = LocalStore("unitTest_tmp/test.tar")
res = js._compress(input)
self.assertIsInstance(res, bytes)
recycled = js._decompress(res)
self.assertEqual(input, recycled)
class Test_LS_2(unittest.TestCase):
"""tests creation of a tarfile,
including addition of items and reading them"""
def runTest(self):
for compression_method in ["lzma", "gzip", "pickle"]:
# delete any existing test
tarfile_name = "unitTest_tmp/test.tar"
try:
os.unlink(tarfile_name)
except FileNotFoundError:
pass
self.assertEqual(False, os.path.exists(tarfile_name))
# create the tar file
js = LocalStore(
"unitTest_tmp/test.tar",
write_batch_size=3,
compression_method=compression_method,
)
self.assertTrue(True, os.path.exists(tarfile_name))
self.assertEqual([], js.sequence_ids())
input = {
"A": set([]),
"C": set([6]),
"T": set([4]),
"G": set([13, 14]),
"invalid": 1,
}
expected_sequence_ids = []
for i in range(11):
input["A"] = set([100 + i])
sequence_id = "SEQ_{0}".format(i)
js.store(sequence_id, input)
expected_sequence_ids.append(sequence_id)
js.flush()
self.assertEqual(expected_sequence_ids, js.sequence_ids())
# check we can read back the right thing by name
for i, sequence_id in enumerate(expected_sequence_ids):
read_sequence_id, res = js.read(sequence_id)
self.assertEqual(read_sequence_id, sequence_id)
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.read_many():
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.read_many(
select_sequence_ids=["SEQ_0", "SEQ_1"]
):
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(["SEQ_0", "SEQ_1"], observed_sequence_ids)
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.read_all():
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
class Test_LS_2a(unittest.TestCase):
"""tests creation of a tarfile,
including addition of items and reading them
uses functions which alias sequence_ids(), read_many() and read_all()"""
def runTest(self):
for compression_method in ["lzma", "gzip", "pickle"]:
# delete any existing test
tarfile_name = "unitTest_tmp/test.tar"
try:
os.unlink(tarfile_name)
except FileNotFoundError:
pass
self.assertEqual(False, os.path.exists(tarfile_name))
# create the tar file
js = LocalStore(
"unitTest_tmp/test.tar",
write_batch_size=3,
compression_method=compression_method,
)
self.assertTrue(True, os.path.exists(tarfile_name))
self.assertEqual(set([]), js.refcompressedsequence_guids())
input = {
"A": set([]),
"C": set([6]),
"T": set([4]),
"G": set([13, 14]),
"invalid": 1,
}
expected_sequence_ids = []
for i in range(11):
input["A"] = set([100 + i])
sequence_id = "SEQ_{0}".format(i)
js.store(sequence_id, input)
expected_sequence_ids.append(sequence_id)
js.flush()
self.assertEqual(set(expected_sequence_ids), js.refcompressedsequence_guids())
# check we can read back the right thing by name
for i, sequence_id in enumerate(expected_sequence_ids):
read_sequence_id, res = js.read(sequence_id)
self.assertEqual(read_sequence_id, sequence_id)
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.refcompressedsequence_read_many():
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.refcompressedsequence_read_many(
select_sequence_ids=["SEQ_0", "SEQ_1"]
):
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(["SEQ_0", "SEQ_1"], observed_sequence_ids)
i = 0
observed_sequence_ids = []
for (sequence_id, res) in js.refcompressedsequence_read_all():
if sequence_id is None:
break
else:
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
self.assertEqual(res["A"], set([i + 100]))
observed_sequence_ids.append(sequence_id)
i = i + 1
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
class Test_LS_3(unittest.TestCase):
"""tests read_benchmark, which measures read speeds"""
def runTest(self):
for compression_method in ["lzma", "gzip", "pickle"]:
# delete any existing test
tarfile_name = "unitTest_tmp/test.tar"
try:
os.unlink(tarfile_name)
except FileNotFoundError:
pass
self.assertEqual(False, os.path.exists(tarfile_name))
# create the tar file
js = LocalStore(
"unitTest_tmp/test.tar",
write_batch_size=3,
compression_method=compression_method,
)
self.assertTrue(True, os.path.exists(tarfile_name))
self.assertEqual([], js.sequence_ids())
input = {
"A": set([]),
"C": set([6]),
"T": set([4]),
"G": set([13, 14]),
"invalid": 1,
}
expected_sequence_ids = []
for i in range(50):
sequence_id = "SEQ_{0}".format(i)
js.store(sequence_id, input)
expected_sequence_ids.append(sequence_id)
js.flush()
self.assertEqual(expected_sequence_ids, js.sequence_ids())
# check we can read back the right thing by name
res = js.read_benchmark()
self.assertIsInstance(res, dict)
res = js.read_benchmark(restrict_to_first_n=10)
self.assertIsInstance(res, dict)
class Test_LS_4(unittest.TestCase):
"""tests functions operating on an empty tar file"""
def runTest(self):
for compression_method in ["lzma", "gzip", "pickle"]:
# delete any existing test
tarfile_name = "unitTest_tmp/test.tar"
try:
os.unlink(tarfile_name)
except FileNotFoundError:
pass
self.assertEqual(False, os.path.exists(tarfile_name))
# create the tar file
js = LocalStore(
"unitTest_tmp/test.tar",
write_batch_size=3,
compression_method=compression_method,
)
self.assertTrue(True, os.path.exists(tarfile_name))
self.assertEqual([], js.sequence_ids())
expected_sequence_ids = []
self.assertEqual(expected_sequence_ids, js.sequence_ids())
observed_sequence_ids = []
for (sequence_id, res) in js.read_many():
if sequence_id is None:
break
else:
observed_sequence_ids.append(sequence_id)
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
observed_sequence_ids = []
for (sequence_id, res) in js.read_many(
select_sequence_ids=["SEQ_0", "SEQ_1"]
):
if sequence_id is None:
break
else:
observed_sequence_ids.append(sequence_id)
self.assertEqual([], observed_sequence_ids)
observed_sequence_ids = []
for (sequence_id, res) in js.read_all():
if sequence_id is None:
break
else:
observed_sequence_ids.append(sequence_id)
self.assertEqual(expected_sequence_ids, observed_sequence_ids)
@unittest.skip(reason="benchmark")
class Test_LS_benchmark(unittest.TestCase):
"""benchmark creation of a tarfile,
including addition of items and reading them
based on a synthetic reference sequence with 10002 variants from reference"""
def runTest(self):
# delete any existing test
for compression_method in ["lzma", "gzip", "pickle"]:
# delete any existing test
tarfile_name = "unitTest_tmp/test.tar"
try:
os.unlink(tarfile_name)
except FileNotFoundError:
pass
self.assertEqual(False, os.path.exists(tarfile_name))
# create the tar file
js = LocalStore(tarfile_name, compression_method=compression_method)
self.assertTrue(True, os.path.exists(tarfile_name))
self.assertEqual([], js.sequence_ids())
input = {
"A": set([]),
"C": set([6]),
"T": set([4]),
"G": set(range(10000)),
"invalid": 1,
}
expected_sequence_ids = []
t0 = datetime.datetime.now()
for i in range(5000):
# if i % 1000 == 0:
# print("storing", i)
input["A"] = set([100 + i])
sequence_id = "SEQ_{0}".format(i)
js.store(sequence_id, input)
expected_sequence_ids.append(sequence_id)
js.flush()
fsize = os.path.getsize(tarfile_name)
t1 = datetime.datetime.now()
i = 0
for (sequence_id, res) in js.read_all():
if sequence_id is None:
break
else:
# if i % 1000== 0:
# print("reading", i)
self.assertEqual(sequence_id, "SEQ_{0}".format(i))
self.assertIsInstance(res, dict)
# self.assertEqual(res['A'], set([i+100]))
i = i + 1
t2 = datetime.datetime.now()
d2 = (t2 - t1).total_seconds()
d1 = (t1 - t0).total_seconds()
print(compression_method, d1, d2, fsize)
| 34.126263
| 90
| 0.515835
| 1,409
| 13,514
| 4.74308
| 0.114975
| 0.097112
| 0.076762
| 0.048631
| 0.827024
| 0.819093
| 0.814604
| 0.814604
| 0.809217
| 0.809217
| 0
| 0.018841
| 0.38338
| 13,514
| 395
| 91
| 34.212658
| 0.783151
| 0.084653
| 0
| 0.840989
| 0
| 0
| 0.039206
| 0.017082
| 0
| 0
| 0
| 0
| 0.204947
| 1
| 0.021201
| false
| 0.017668
| 0.014134
| 0
| 0.056537
| 0.003534
| 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
|
e2266e3e4f90fdd54336a1221a52761ee5f2a773
| 43,073
|
py
|
Python
|
venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_logging_global.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 1
|
2020-01-22T13:11:23.000Z
|
2020-01-22T13:11:23.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_logging_global.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | 12
|
2020-02-21T07:24:52.000Z
|
2020-04-14T09:54:32.000Z
|
venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/tests/unit/modules/network/junos/test_junos_logging_global.py
|
usegalaxy-no/usegalaxy
|
75dad095769fe918eb39677f2c887e681a747f3a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright 2020 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#############################################
# WARNING #
#############################################
#
# This file is auto generated by the resource
# module builder playbook.
#
# Do not edit this file manually.
#
# Changes to this file will be over written
# by the resource module builder.
#
# Changes should be made in the model used to
# generate this file or in the resource module
# builder template.
#
#############################################
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible_collections.junipernetworks.junos.tests.unit.compat.mock import (
patch,
)
from ansible_collections.junipernetworks.junos.plugins.modules import (
junos_logging_global,
)
from ansible_collections.junipernetworks.junos.tests.unit.modules.utils import (
set_module_args,
)
from .junos_module import TestJunosModule, load_fixture
class TestJunosLogging_globalModule(TestJunosModule):
module = junos_logging_global
def setUp(self):
super(TestJunosLogging_globalModule, self).setUp()
self.mock_lock_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.junos.lock_configuration"
)
self.lock_configuration = self.mock_lock_configuration.start()
self.mock_unlock_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.junos.unlock_configuration"
)
self.unlock_configuration = self.mock_unlock_configuration.start()
self.mock_load_config = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.config.logging_global.logging_global.load_config"
)
self.load_config = self.mock_load_config.start()
self.mock_commit_configuration = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.config.logging_global.logging_global.commit_configuration"
)
self.mock_commit_configuration = self.mock_commit_configuration.start()
self.mock_execute_show_command = patch(
"ansible_collections.junipernetworks.junos.plugins.module_utils.network.junos.facts.logging_global.logging_global."
"Logging_globalFacts.get_device_data"
)
self.execute_show_command = self.mock_execute_show_command.start()
def tearDown(self):
super(TestJunosLogging_globalModule, self).tearDown()
self.mock_load_config.stop()
self.mock_lock_configuration.stop()
self.mock_unlock_configuration.stop()
self.mock_commit_configuration.stop()
self.mock_execute_show_command.stop()
def load_fixtures(
self, commands=None, format="text", changed=False, filename=None
):
def load_from_file(*args, **kwargs):
output = load_fixture("junos_logging_global_config.cfg")
return output
self.execute_show_command.side_effect = load_from_file
def test_junos_logging_global_merged_archive_01(self):
set_module_args(
dict(
config=dict(
archive=dict(
set=True,
files=10,
file_size=65578,
no_binary_data=True,
no_world_readable=True,
)
),
state="merged",
)
)
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:archive><nc:files>10</nc:files>"
"<nc:no-binary-data/><nc:size>65578</nc:size><nc:no-world-readable/>"
"</nc:archive></nc:syslog></nc:system>"
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_merged_console_02(self):
set_module_args(
dict(
config=dict(
console=dict(
any=dict(level="info"),
authorization=dict(level="any"),
change_log=dict(level="critical"),
ftp=dict(level="none"),
)
),
state="merged",
)
)
result = self.execute_module(changed=True)
self.assertIn(
"<nc:console><nc:name>any</nc:name><nc:info/>",
str(result["commands"]),
)
self.assertIn(
"<nc:console><nc:name>authorization</nc:name><nc:any/>",
str(result["commands"]),
)
self.assertIn(
"<nc:console><nc:name>change-log</nc:name><nc:critical/>",
str(result["commands"]),
)
self.assertIn(
"<nc:console><nc:name>ftp</nc:name><nc:none/>",
str(result["commands"]),
)
def test_junos_logging_global_merged_files_03(self):
set_module_args(
dict(
config=dict(
files=[dict(name="file101", allow_duplicates=True)]
),
state="merged",
)
)
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:file><nc:name>file101</nc:name>"
"<nc:allow-duplicates/></nc:file></nc:syslog></nc:system>"
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_merged_files_04(self):
set_module_args(
dict(
config=dict(
files=[
dict(
name="file102",
allow_duplicates=True,
any=dict(level="any"),
structured_data=dict(set=True),
),
dict(
name="file103",
archive=dict(
set=True,
no_binary_data=True,
files=10,
file_size=65578,
no_world_readable=True,
),
explicit_priority=True,
match="^set*",
match_strings=["^delete", "^prompt"],
),
]
),
state="merged",
)
)
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:file><nc:name>file102</nc:name><nc:allow-duplicates/>"
"<nc:contents><nc:name>any</nc:name><nc:any/></nc:contents>"
"<nc:structured-data/></nc:file><nc:file><nc:name>file103</nc:name>"
"<nc:archive><nc:files>10</nc:files><nc:no-binary-data/>"
"<nc:size>65578</nc:size><nc:no-world-readable/>"
"</nc:archive><nc:explicit-priority/><nc:match>^set*</nc:match>"
"<nc:match-strings>^delete</nc:match-strings>"
"<nc:match-strings>^prompt</nc:match-strings></nc:file></nc:syslog></nc:system>"
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_merged_hosts_05(self):
set_module_args(
dict(
config=dict(
hosts=[
dict(
name="host222",
exclude_hostname=True,
allow_duplicates=True,
)
]
),
state="merged",
)
)
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:host><nc:name>host222</nc:name><nc:allow-duplicates/>"
"<nc:exclude-hostname/></nc:host></nc:syslog></nc:system>"
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_merged_hosts_idempotent_06(self):
set_module_args(
dict(
config=dict(
hosts=[
dict(
name="host111",
exclude_hostname=True,
allow_duplicates=True,
any=dict(level="any"),
structured_data=dict(set=True, brief=True),
facility_override="ftp",
log_prefix="field",
match="^set*",
match_strings=["^delete", "^prompt"],
port=1231,
routing_instance="inst11",
source_address="11.11.11.11",
)
]
),
state="merged",
)
)
result = self.execute_module(changed=True)
self.assertEqual(result["before"], result["after"])
def test_junos_logging_global_merged_07(self):
set_module_args(
dict(
config=dict(
allow_duplicates=True,
routing_instance="inst11",
log_rotate_frequency=45,
source_address="33.33.33.33",
time_format=dict(millisecond=True, year=True),
),
state="merged",
)
)
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:allow-duplicates/><nc:log-rotate-frequency>45</nc:log-rotate-frequency>"
"<nc:routing-instance>inst11</nc:routing-instance><nc:source-address>33.33.33.33</nc:source-address>"
"<nc:time-format><nc:millisecond/><nc:year/></nc:time-format></nc:syslog></nc:system>"
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_merged_user_08(self):
set_module_args(
dict(
config=dict(
users=[
dict(name="user1", allow_duplicates=True),
dict(
name="user2",
allow_duplicates=True,
any=dict(level="any"),
user=dict(level="info"),
),
]
),
state="merged",
)
)
result = self.execute_module(changed=True)
self.assertIn(
"<nc:user><nc:name>user1</nc:name><nc:allow-duplicates/>",
str(result["commands"]),
)
self.assertIn(
"<nc:user><nc:name>user2</nc:name><nc:allow-duplicates/>",
str(result["commands"]),
)
self.assertIn(
"<nc:contents><nc:name>any</nc:name><nc:any/></nc:contents>",
str(result["commands"]),
)
def test_junos_logging_global_replaced_user_09(self):
set_module_args(
dict(
config=dict(
users=[
dict(name="user1", allow_duplicates=True),
dict(
name="user2",
allow_duplicates=True,
any=dict(level="any"),
user=dict(level="info"),
),
]
),
state="replaced",
)
)
result = self.execute_module(changed=True)
self.assertIn(
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">',
str(result["commands"]),
)
self.assertIn(
'<nc:syslog delete="delete"/><nc:syslog><nc:user><nc:name>user1</nc:name>',
str(result["commands"]),
)
self.assertIn(
"<nc:allow-duplicates/></nc:user><nc:user><nc:name>user2</nc:name>",
str(result["commands"]),
)
self.assertIn(
"</nc:contents></nc:user></nc:syslog></nc:system>",
str(result["commands"]),
)
def test_junos_logging_global_overridden_user_10(self):
set_module_args(
dict(
config=dict(
users=[
dict(name="user1", allow_duplicates=True),
dict(
name="user2",
allow_duplicates=True,
any=dict(level="any"),
user=dict(level="info"),
),
]
),
state="overridden",
)
)
result = self.execute_module(changed=True)
self.assertIn(
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">',
str(result["commands"]),
)
self.assertIn(
'<nc:syslog delete="delete"/><nc:syslog><nc:user><nc:name>user1</nc:name>',
str(result["commands"]),
)
self.assertIn(
"<nc:allow-duplicates/></nc:user><nc:user><nc:name>user2</nc:name>",
str(result["commands"]),
)
def test_junos_logging_global_deleted_user_11(self):
set_module_args(dict(config=dict(), state="deleted"))
commands = [
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
'<nc:syslog delete="delete"/></nc:system>'
]
result = self.execute_module(changed=True, commands=commands)
self.assertEqual(sorted(result["commands"]), sorted(commands))
def test_junos_logging_global_rendered_12(self):
set_module_args(
dict(
config=dict(
archive=dict(
set=True,
files=10,
file_size=65578,
no_binary_data=True,
no_world_readable=True,
)
),
state="rendered",
)
)
rendered = (
'<nc:system xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">'
"<nc:syslog><nc:archive><nc:files>10</nc:files><nc:no-binary-data/>"
"<nc:size>65578</nc:size><nc:no-world-readable/></nc:archive></nc:syslog></nc:system>"
)
result = self.execute_module(changed=False)
self.assertEqual(sorted(result["rendered"]), sorted(rendered))
def test_junos_logging_global_parsed_13(self):
parsed_str = """
<rpc-reply message-id="urn:uuid:0cadb4e8-5bba-47f4-986e-72906227007f">
<configuration changed-seconds="1590139550" changed-localtime="2020-05-22 09:25:50 UTC">
<version>18.4R1-S2.4</version>
<system>
<syslog>
<archive>
<size>65578</size>
<files>10</files>
<no-world-readable/>
<no-binary-data/>
</archive>
<user>
<name>user1</name>
<allow-duplicates/>
</user>
<user>
<name>user2</name>
<contents>
<name>any</name>
<any/>
</contents>
<contents>
<name>user</name>
<info/>
</contents>
<allow-duplicates/>
</user>
<host>
<name>host111</name>
<contents>
<name>any</name>
<any/>
</contents>
<match>^set*</match>
<allow-duplicates/>
<port>1231</port>
<facility-override>ftp</facility-override>
<log-prefix>field</log-prefix>
<source-address>11.1.1.11</source-address>
<routing-instance>inst11</routing-instance>
<exclude-hostname/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
<structured-data>
<brief/>
</structured-data>
</host>
<allow-duplicates/>
<file>
<name>file101</name>
<allow-duplicates/>
</file>
<file>
<name>file102</name>
<contents>
<name>any</name>
<any/>
</contents>
<allow-duplicates/>
<structured-data>
</structured-data>
</file>
<file>
<name>file103</name>
<match>^set*</match>
<archive>
<size>65578</size>
<files>10</files>
<no-world-readable/>
<no-binary-data/>
</archive>
<explicit-priority/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
</file>
<console>
<name>any</name>
<info/>
</console>
<console>
<name>authorization</name>
<any/>
</console>
<console>
<name>ftp</name>
<none/>
</console>
<console>
<name>change-log</name>
<critical/>
</console>
<time-format>
<year/>
<millisecond/>
</time-format>
<source-address>33.33.33.33</source-address>
<routing-instance>inst11</routing-instance>
<log-rotate-frequency>45</log-rotate-frequency>
</syslog>
</system>
</configuration>
</rpc-reply>
"""
set_module_args(dict(running_config=parsed_str, state="parsed"))
result = self.execute_module(changed=False)
parsed_dict = {
"allow_duplicates": True,
"archive": {
"file_size": 65578,
"files": 10,
"no_binary_data": True,
"no_world_readable": True,
},
"console": {
"any": {"level": "info"},
"authorization": {"level": "any"},
"change_log": {"level": "critical"},
"ftp": {"level": "none"},
},
"files": [
{"allow_duplicates": True, "name": "file101"},
{
"allow_duplicates": True,
"any": {"level": "any"},
"name": "file102",
"structured_data": {"set": True},
},
{
"archive": {
"file_size": 65578,
"files": 10,
"no_binary_data": True,
"no_world_readable": True,
},
"explicit_priority": True,
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"name": "file103",
},
],
"hosts": [
{
"allow_duplicates": True,
"any": {"level": "any"},
"exclude_hostname": True,
"facility_override": "ftp",
"log_prefix": "field",
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"name": "host111",
"port": 1231,
"routing_instance": "inst11",
"source_address": "11.1.1.11",
"structured_data": {"brief": True},
}
],
"log_rotate_frequency": 45,
"routing_instance": "inst11",
"source_address": "33.33.33.33",
"time_format": {"millisecond": True, "year": True},
"users": [
{"allow_duplicates": True, "name": "user1"},
{
"allow_duplicates": True,
"any": {"level": "any"},
"name": "user2",
"user": {"level": "info"},
},
],
}
self.assertEqual(sorted(parsed_dict), sorted(result["parsed"]))
def test_junos_logging_global_gathered_14(self):
"""
:return:
"""
set_module_args(dict(state="gathered"))
result = self.execute_module(changed=False)
gather_list = {
"hosts": [
{
"name": "host111",
"allow_duplicates": True,
"any": {"level": "any"},
"exclude_hostname": True,
"facility_override": "ftp",
"log_prefix": "field",
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"port": 1231,
"routing_instance": "inst11",
"source_address": "11.1.1.11",
"structured_data": {"brief": True},
}
]
}
self.assertEqual(sorted(gather_list), sorted(result["gathered"]))
def test_junos_logging_global_parsed_15(self):
parsed_str = """
<rpc-reply message-id="urn:uuid:0cadb4e8-5bba-47f4-986e-72906227007f">
<configuration changed-seconds="1590139550" changed-localtime="2020-05-22 09:25:50 UTC">
<version>18.4R1-S2.4</version>
<system>
<syslog>
<archive>
<size>65578</size>
<files>10</files>
<world-readable/>
<binary-data/>
</archive>
<user>
<name>user1</name>
<allow-duplicates/>
</user>
<user>
<name>user2</name>
<contents>
<name>any</name>
<any/>
</contents>
<contents>
<name>user</name>
<info/>
</contents>
<allow-duplicates/>
</user>
<host>
<name>host111</name>
<contents>
<name>any</name>
<any/>
</contents>
<match>^set*</match>
<allow-duplicates/>
<port>1231</port>
<facility-override>ftp</facility-override>
<log-prefix>field</log-prefix>
<source-address>11.1.1.11</source-address>
<routing-instance>inst11</routing-instance>
<exclude-hostname/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
<structured-data>
<brief/>
</structured-data>
</host>
<allow-duplicates/>
<file>
<name>file101</name>
<allow-duplicates/>
<archive-sites>
<name>www.antsiblr.com</name>
</archive-sites>
</file>
<file>
<name>file102</name>
<contents>
<name>any</name>
<any/>
</contents>
<allow-duplicates/>
<structured-data>
</structured-data>
</file>
<file>
<name>file103</name>
<match>^set*</match>
<archive>
<size>65578</size>
<files>10</files>
<no-world-readable/>
<no-binary-data/>
</archive>
<explicit-priority/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
</file>
<console>
<name>any</name>
<info/>
</console>
<console>
<name>authorization</name>
<any/>
</console>
<console>
<name>ftp</name>
<none/>
</console>
<console>
<name>change-log</name>
<critical/>
</console>
<time-format>
</time-format>
<source-address>33.33.33.33</source-address>
<routing-instance>inst11</routing-instance>
<log-rotate-frequency>45</log-rotate-frequency>
</syslog>
</system>
</configuration>
</rpc-reply>
"""
set_module_args(dict(running_config=parsed_str, state="parsed"))
result = self.execute_module(changed=False)
parsed_dict = {
"allow_duplicates": True,
"archive": {
"file_size": 65578,
"files": 10,
"no_binary_data": True,
"no_world_readable": True,
},
"console": {
"any": {"level": "info"},
"authorization": {"level": "any"},
"change_log": {"level": "critical"},
"ftp": {"level": "none"},
},
"files": [
{
"allow_duplicates": True,
"name": "file101",
"archive_sites": ["www.antsiblr.com"],
},
{
"allow_duplicates": True,
"any": {"level": "any"},
"name": "file102",
"structured_data": {"set": True},
},
{
"archive": {
"file_size": 65578,
"files": 10,
"binary_data": True,
"world_readable": True,
},
"explicit_priority": True,
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"name": "file103",
},
],
"hosts": [
{
"allow_duplicates": True,
"any": {"level": "any"},
"exclude_hostname": True,
"facility_override": "ftp",
"log_prefix": "field",
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"name": "host111",
"port": 1231,
"routing_instance": "inst11",
"source_address": "11.1.1.11",
"structured_data": {"brief": True},
}
],
"log_rotate_frequency": 45,
"routing_instance": "inst11",
"source_address": "33.33.33.33",
"time_format": {"set": True},
"users": [
{"allow_duplicates": True, "name": "user1"},
{
"allow_duplicates": True,
"any": {"level": "any"},
"name": "user2",
"user": {"level": "info"},
},
],
}
self.assertEqual(sorted(parsed_dict), sorted(result["parsed"]))
def test_junos_logging_global_parsed_16(self):
parsed_str = """
<rpc-reply message-id="urn:uuid:0cadb4e8-5bba-47f4-986e-72906227007f">
<configuration changed-seconds="1590139550" changed-localtime="2020-05-22 09:25:50 UTC">
<version>18.4R1-S2.4</version>
<system>
<syslog>
<archive>
<size>65578</size>
<files>10</files>
<world-readable/>
<binary-data/>
</archive>
<user>
<name>user1</name>
<allow-duplicates/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
</user>
<user>
<name>user2</name>
<contents>
<name>any</name>
<any/>
</contents>
<contents>
<name>user</name>
<info/>
</contents>
<allow-duplicates/>
</user>
<host>
<name>host111</name>
<contents>
<name>any</name>
<any/>
</contents>
<match>^set*</match>
<allow-duplicates/>
<port>1231</port>
<facility-override>ftp</facility-override>
<log-prefix>field</log-prefix>
<source-address>11.1.1.11</source-address>
<routing-instance>inst11</routing-instance>
<exclude-hostname/>
<match-strings>^delete</match-strings>
<match-strings>^prompt</match-strings>
<structured-data>
<brief/>
</structured-data>
</host>
<allow-duplicates/>
<file>
<name>file101</name>
<allow-duplicates/>
<archive-sites>
<name>www.antsiblr.com</name>
<name>www.antsiblr2.com</name>
</archive-sites>
<contents>
<name>any</name>
<any/>
</contents>
<contents>
<name>authorization</name>
<any/>
</contents>
<structured-data>
<brief/>
</structured-data>
</file>
<console>
<name>any</name>
<info/>
</console>
<console>
<name>authorization</name>
<any/>
</console>
<console>
<name>ftp</name>
<none/>
</console>
<console>
<name>change-log</name>
<critical/>
</console>
<time-format>
</time-format>
<source-address>33.33.33.33</source-address>
<routing-instance>inst11</routing-instance>
<log-rotate-frequency>45</log-rotate-frequency>
</syslog>
</system>
</configuration>
</rpc-reply>
"""
set_module_args(dict(running_config=parsed_str, state="parsed"))
result = self.execute_module(changed=False)
parsed_dict = {
"allow_duplicates": True,
"archive": {
"file_size": 65578,
"files": 10,
"no_binary_data": True,
"no_world_readable": True,
},
"console": {
"any": {"level": "info"},
"authorization": {"level": "any"},
"change_log": {"level": "critical"},
"ftp": {"level": "none"},
},
"files": [
{
"allow_duplicates": True,
"name": "file101",
"archive_sites": ["www.antsiblr.com", "www.antsiblr2.com"],
"any": {"level": "any"},
"authorization": {"level": "any"},
"structured_data": {"brief": True},
}
],
"hosts": [
{
"allow_duplicates": True,
"any": {"level": "any"},
"exclude_hostname": True,
"facility_override": "ftp",
"log_prefix": "field",
"match": "^set*",
"match_strings": ["^delete", "^prompt"],
"name": "host111",
"port": 1231,
"routing_instance": "inst11",
"source_address": "11.1.1.11",
"structured_data": {"brief": True},
}
],
"log_rotate_frequency": 45,
"routing_instance": "inst11",
"source_address": "33.33.33.33",
"time_format": {"set": True},
"users": [
{
"allow_duplicates": True,
"name": "user1",
"match_strings": ["^delete", "^prompt"],
},
{
"allow_duplicates": True,
"any": {"level": "any"},
"name": "user2",
"user": {"level": "info"},
},
],
}
self.assertEqual(sorted(parsed_dict), sorted(result["parsed"]))
def test_junos_logging_global_parsed_17(self):
parsed_str = """
<rpc-reply message-id="urn:uuid:0cadb4e8-5bba-47f4-986e-72906227007f">
<configuration changed-seconds="1590139550" changed-localtime="2020-05-22 09:25:50 UTC">
<version>18.4R1-S2.4</version>
<system>
<syslog>
<user>
<name>user1</name>
<match>^set*</match>
<match-strings>^delete</match-strings>
<contents>
<name>user</name>
<info/>
</contents>
</user>
<host>
<name>host111</name>
<contents>
<name>any</name>
<any/>
</contents>
<contents>
<name>authorization</name>
<any/>
</contents>
<match-strings>^delete</match-strings>
<structured-data>
</structured-data>
</host>
<file>
<name>file101</name>
<match-strings>^delete</match-strings>
<archive>
<archive-sites>
<name>www.antsiblr.com</name>
</archive-sites>
<archive-sites>
<name>www.antsiblr2.com</name>
</archive-sites>
</archive>
</file>
</syslog>
</system>
</configuration>
</rpc-reply>
"""
set_module_args(dict(running_config=parsed_str, state="parsed"))
result = self.execute_module(changed=False)
parsed_dict = {
"files": [
{
"allow_duplicates": True,
"name": "file101",
"archive": {
"archive_sites": [
"www.antsiblr.com",
"www.antsiblr2.com",
]
},
"any": {"level": "any"},
"authorization": {"level": "any"},
"structured_data": {"brief": True},
}
],
"hosts": [
{
"any": {"level": "any"},
"authorization": {"level": "any"},
"match_strings": ["^delete"],
"name": "host111",
"structured_data": {"set": True},
}
],
"users": [
{
"name": "user1",
"user": {"level": "info"},
"match": "^set*",
"match_strings": ["^delete"],
}
],
}
self.assertEqual(sorted(parsed_dict), sorted(result["parsed"]))
| 41.859086
| 148
| 0.373227
| 3,037
| 43,073
| 5.157063
| 0.083964
| 0.052675
| 0.036394
| 0.020623
| 0.838271
| 0.809986
| 0.780935
| 0.757885
| 0.740582
| 0.725322
| 0
| 0.033329
| 0.510296
| 43,073
| 1,028
| 149
| 41.899805
| 0.709193
| 0.011097
| 0
| 0.749743
| 0
| 0.041195
| 0.561389
| 0.128247
| 0
| 0
| 0
| 0
| 0.027806
| 1
| 0.021627
| false
| 0
| 0.005149
| 0
| 0.029866
| 0.00103
| 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
|
e25650d2faba8d9a0cd55f450cca609aaf190ada
| 111,172
|
py
|
Python
|
ENIIGMA/Stats/Stats_contour.py
|
willastro/ENIIGMA-fitting-tool
|
4b6d62943be86d86936de2213414abf4657daff5
|
[
"0BSD"
] | null | null | null |
ENIIGMA/Stats/Stats_contour.py
|
willastro/ENIIGMA-fitting-tool
|
4b6d62943be86d86936de2213414abf4657daff5
|
[
"0BSD"
] | 2
|
2021-01-15T21:18:13.000Z
|
2021-01-16T20:52:24.000Z
|
ENIIGMA/Stats/Stats_contour.py
|
willastro/ENIIGMA-fitting-tool
|
4b6d62943be86d86936de2213414abf4657daff5
|
[
"0BSD"
] | null | null | null |
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from matplotlib.lines import Line2D
import scipy.interpolate
from itertools import combinations
import os
import pandas as pd
from pandas import DataFrame
import glob
import sh
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning)
warnings.filterwarnings("ignore", category=RuntimeWarning)
plt.rcParams['axes.linewidth'] = 1.5
def find_nearest(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return array[idx]
def get_line_number2(value, matrix):
for i, line in enumerate(matrix, 1):
if line == value:
return i
def to_sub(s):
subs = {'0': '\u2080',
'1': '\u2081',
'2': '\u2082',
'3': '\u2083',
'4': '\u2084',
'5': '\u2085',
'6': '\u2086',
'7': '\u2087',
'8': '\u2088',
'9': '\u2089'}
return ''.join(subs.get(char, char) for char in s)
def st_plot_contour2(file1, pathdir):
"""
Chi-square maps for 2 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 2.41
sig2 = 4.61
sig3 = 9.21
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2 = tfil['name'][0], tfil['name'][1]
nsp1, nsp2 = os.path.splitext(os.path.basename(nsp1))[0], os.path.splitext(os.path.basename(nsp2))[0]
nsp1, nsp2 = nsp1.replace('_', ':'), nsp2.replace('_', ':')
labels = [nsp1, nsp2]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 50.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max = [], [], [], []
fig = plt.figure()
pos = np.array([1])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(1, 1, cc)
# print count1+1
x, y, z = p1, p2, p3
# xll = x.min(); xul = x.max(); yll = y.min(); yul = y.max()
xmin, xmax, ymin, ymax = 0.0, 1., 0., 1.
xll = xmin;
xul = xmax;
yll = ymin;
yul = ymax
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=2)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=2)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=2)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
if labels[s0] == nsp1:
w1_min.append(min(xv))
w1_max.append(max(xv))
if labels[s1] == nsp2:
w2_min.append(min(yv))
w2_max.append(max(yv))
from matplotlib import ticker, colors
# r1 = np.floor((min(z)))
# r2 = np.ceil(np.log10(z.max())+1)
# print r1, r2
# lev_exp = np.arange(r1, r2)
# levs = np.power(100, lev_exp)
# cs = ax.contourf(xi, yi, zi, levs, norm=colors.LogNorm())
# print min(z), max(z)
levs = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50]
cs = ax.contourf(xi, yi, zi, levs, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# Version with w1 and specie names separated
plt.setp(ax.get_xticklabels(), visible=True)
plt.xlim(xmin, xmax)
plt.ylim(ymin, ymax)
plt.tick_params(bottom='on')
ax.set_xlabel(r'$\mathrm{' + labels[s0].replace('H2O:15K', 'H_2O \; (15K)') + '}$', fontsize=16)
ax.set_ylabel(
r'$\mathrm{' + labels[s1].replace('CO:CH3OH:CH3CH2OH:15K', 'CO:CH_3OH:CH_3CH_2OH \; (15K)').replace(
'H2O:75K', 'H_2O \; (75K)').replace('H2O:40K', 'H_2O \; (40K)') + '}$', fontsize=16)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.minorticks_on()
ax.set_yticks((0.2, 0.4, 0.6, 0.8, 1.))
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=16, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=16, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max = np.mean(w1_min), np.mean(w1_max), np.mean(w2_min), np.mean(w2_max)
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
cb_ax = fig.add_axes([0.02, -0.04, 0.98, 0.02])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=16)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=16)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour3(file1, pathdir):
"""
Chi-square maps for 3 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 3.66
sig2 = 6.25
sig3 = 11.34
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2, nsp3 = tfil['name'][0], tfil['name'][1], tfil['name'][2]
nsp1, nsp2, nsp3 = os.path.splitext(os.path.basename(nsp1))[0], os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0]
nsp1, nsp2, nsp3 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_', ':')
labels = [nsp1, nsp2, nsp3]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 20.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max = [], [], [], [], [], []
fig = plt.figure()
pos = np.array([1, 3, 4])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(2, 2, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
xll = x.min();
xul = x.max();
yll = y.min();
yul = y.max()
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linewidths=2)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linewidths=2)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linewidths=2)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
# print labels[s0] == nsp2
w2_min.append(min(xv))
w2_max.append(max(xv))
if labels[s1] == nsp3:
# print labels[s0] == nsp3
w3_min.append(min(yv))
w3_max.append(max(yv))
cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=16, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=16, zorder=10)
else:
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=16)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=16, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=16, zorder=10)
if cc == 4:
plt.gca().axes.get_yaxis().set_visible(True)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=16, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=16, zorder=10)
ax.set_yticklabels([])
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=16)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=16, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=16, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max = np.mean(w1_min), np.mean(w1_max), np.mean(w2_min), np.mean(
w2_max), np.mean(w3_min), np.mean(w3_max)
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
ax.text(0.04, 1.97, textstr, transform=ax.transAxes, fontsize=13, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, -0.02, 0.98, 0.01])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=16)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=16)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour4(file1, pathdir):
"""
Chi-square maps for 4 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 4.88
sig2 = 7.78
sig3 = 13.28
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2, nsp3, nsp4 = tfil['name'][0], tfil['name'][1], tfil['name'][2], tfil['name'][3]
nsp1, nsp2, nsp3, nsp4 = os.path.splitext(os.path.basename(nsp1))[0], os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0], os.path.splitext(os.path.basename(nsp4))[0]
nsp1, nsp2, nsp3, nsp4 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_', ':'), nsp4.replace('_',
':')
labels = [nsp1, nsp2, nsp3, nsp4]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 50.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max, w4_min, w4_max = [], [], [], [], [], [], [], []
fig = plt.figure(figsize=(30, 33.7))
pos = np.array([1, 4, 5, 7, 8, 9])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(3, 3, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
xll = x.min();
xul = x.max();
yll = y.min();
yul = y.max()
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3., function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=4)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=4)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=4)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
# print labels[s0] == nsp2
w2_min.append(min(xv))
w2_max.append(max(xv))
elif labels[s0] == nsp3:
# print labels[s0] == nsp3
w3_min.append(min(xv))
w3_max.append(max(xv))
if labels[s1] == nsp4:
# print labels[s0] == nsp4
w4_min.append(min(yv))
w4_max.append(max(yv))
cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1 or cc == 4:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
else:
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
if cc == 5 or cc == 8 or cc == 9:
plt.gca().axes.get_yaxis().set_visible(True)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max, w4n_min, w4n_max = np.mean(w1_min), np.mean(w1_max), np.mean(
w2_min), np.mean(w2_max), np.mean(w3_min), np.mean(w3_max), np.mean(w4_min), np.mean(w4_max)
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min, w4n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max, w4n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_4$:' + nsp4.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace(
'CH3CN', 'CH$_3$CN').replace('HNCO:NH3', 'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
ax.text(-0.6, 2.80, textstr, transform=ax.transAxes, fontsize=45, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, -0.02, 0.98, 0.01])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=45)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=45)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour5(file1, pathdir):
"""
Chi-square maps for 5 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 6.06
sig2 = 9.24
sig3 = 15.09
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2, nsp3, nsp4, nsp5 = tfil['name'][0], tfil['name'][1], tfil['name'][2], tfil['name'][3], tfil['name'][4]
nsp1, nsp2, nsp3, nsp4, nsp5 = os.path.splitext(os.path.basename(nsp1))[0], \
os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0], \
os.path.splitext(os.path.basename(nsp4))[0], \
os.path.splitext(os.path.basename(nsp5))[0]
nsp1, nsp2, nsp3, nsp4, nsp5 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_', ':'), nsp4.replace(
'_', ':'), nsp5.replace('_', ':')
labels = [nsp1, nsp2, nsp3, nsp4, nsp5]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 60.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max, w4_min, w4_max, w5_min, w5_max = [], [], [], [], [], [], [], [], [], []
fig = plt.figure(figsize=(30, 33.7))
pos = np.array([1, 5, 6, 9, 10, 11, 13, 14, 15, 16])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(4, 4, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
xll = x.min();
xul = x.max();
yll = y.min();
yul = y.max()
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=4)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=4)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=4)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
w2_min.append(min(xv))
w2_max.append(max(xv))
elif labels[s0] == nsp3:
print(max(xv))
# print labels[s0] == nsp3
w3_min.append(min(xv))
w3_max.append(max(xv))
elif labels[s0] == nsp4:
# print labels[s0] == nsp4
w4_min.append(min(xv))
w4_max.append(max(xv))
if labels[s1] == nsp5:
# print labels[s0] == nsp5
w5_min.append(min(yv))
w5_max.append(max(yv))
cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1 or cc == 5 or cc == 9:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
ax.set_xlabel(r'$\mathrm{' + labels[s0] + '}$', fontsize=18)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
else:
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
if cc == 6 or cc == 10 or cc == 11 or cc == 14 or cc == 15 or cc == 16:
plt.gca().axes.get_yaxis().set_visible(True)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max, w4n_min, w4n_max, w5n_min, w5n_max = np.mean(w1_min), np.mean(
w1_max), np.mean(w2_min), np.mean(w2_max), np.mean(w3_min), np.mean(w3_max), np.mean(w4_min), np.mean(
w4_max), np.mean(w5_min), np.mean(w5_max)
# print 'w1n_min, w1n_max', w1n_min, w1n_max
# print w1_min, w2_min, w3_min, w4_min, w5_min
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min, w4n_min, w5n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max, w4n_max, w5n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_4$:' + nsp4.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace(
'CH3CN', 'CH$_3$CN').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_5$:' + nsp5.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
ax.text(-0.6, 3.7, textstr, transform=ax.transAxes, fontsize=45, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, -0.02, 0.98, 0.01])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=45)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=45)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour6(file1, pathdir):
"""
Chi-square maps for 6 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 7.23
sig2 = 10.64
sig3 = 16.81
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6 = tfil['name'][0], tfil['name'][1], tfil['name'][2], tfil['name'][3], \
tfil['name'][4], tfil['name'][5]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6 = os.path.splitext(os.path.basename(nsp1))[0], \
os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0], \
os.path.splitext(os.path.basename(nsp4))[0], \
os.path.splitext(os.path.basename(nsp5))[0], \
os.path.splitext(os.path.basename(nsp6))[0]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_',
':'), nsp4.replace(
'_', ':'), nsp5.replace('_', ':'), nsp6.replace('_', ':')
labels = [nsp1, nsp2, nsp3, nsp4, nsp5, nsp6]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 50.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max, w4_min, w4_max, w5_min, w5_max, w6_min, w6_max = [], [], [], [], [], [], [], [], [], [], [], []
fig = plt.figure(figsize=(30, 33.7))
pos = np.array([1, 6, 7, 11, 12, 13, 16, 17, 18, 19, 21, 22, 23, 24, 25])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(5, 5, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
xll = x.min();
xul = x.max();
yll = y.min();
yul = y.max()
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=4)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=4)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=4)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
# print labels[s0] == nsp2
w2_min.append(min(xv))
w2_max.append(max(xv))
elif labels[s0] == nsp3:
# print labels[s0] == nsp3
w3_min.append(min(xv))
w3_max.append(max(xv))
elif labels[s0] == nsp4:
# print labels[s0] == nsp4
w4_min.append(min(xv))
w4_max.append(max(xv))
elif labels[s0] == nsp5:
# print labels[s0] == nsp5
w5_min.append(min(xv))
w5_max.append(max(xv))
if labels[s1] == nsp6:
# print labels[s0] == nsp6
w6_min.append(min(yv))
w6_max.append(max(yv))
cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1 or cc == 6 or cc == 11 or cc == 16:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
else:
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
if cc == 7 or cc == 12 or cc == 13 or cc == 17 or cc == 18 or cc == 19 or cc == 21 or cc == 22 or cc == 23 or cc == 24 or cc == 25:
plt.gca().axes.get_yaxis().set_visible(True)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max, w4n_min, w4n_max, w5n_min, w5n_max, w6n_min, w6n_max = np.mean(
w1_min), np.mean(w1_max), np.mean(w2_min), np.mean(w2_max), np.mean(w3_min), np.mean(w3_max), np.mean(
w4_min), np.mean(w4_max), np.mean(w5_min), np.mean(w5_max), np.mean(w6_min), np.mean(w6_max)
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min, w4n_min, w5n_min, w6n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max, w4n_max, w5n_max, w6n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_4$:' + nsp4.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace(
'CH3CN', 'CH$_3$CN').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_5$:' + nsp5.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_6$:' + nsp6.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
ax.text(-1.2, 4.5, textstr, transform=ax.transAxes, fontsize=45, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, -0.02, 0.98, 0.01])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=45)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=45)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour7(file1, pathdir):
"""
Chi-square maps for 7 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
sig1 = 8.38
sig2 = 12.02
sig3 = 18.48
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name']) # output_file.txt
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7 = tfil['name'][0], tfil['name'][1], tfil['name'][2], tfil['name'][3], \
tfil['name'][4], tfil['name'][5], tfil['name'][6]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7 = os.path.splitext(os.path.basename(nsp1))[0], \
os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0], \
os.path.splitext(os.path.basename(nsp4))[0], \
os.path.splitext(os.path.basename(nsp5))[0], \
os.path.splitext(os.path.basename(nsp6))[0], \
os.path.splitext(os.path.basename(nsp7))[0]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_',
':'), nsp4.replace(
'_', ':'), nsp5.replace('_', ':'), nsp6.replace('_', ':'), nsp7.replace('_', ':')
labels = [nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 50.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max, w4_min, w4_max, w5_min, w5_max, w6_min, w6_max, w7_min, w7_max = [], [], [], [], [], [], [], [], [], [], [], [], [], []
fig = plt.figure(figsize=(30, 33.7))
pos = np.array([1, 8, 15, 22, 29, 36, 9, 16, 23, 30, 37, 17, 24, 31, 38, 25, 32, 39, 33, 40, 41])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(7, 7, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
# xll = x.min(); xul = x.max(); yll = y.min(); yul = y.max()
xmin, xmax, ymin, ymax = 0.0, 1., 0., 1.
xll = xmin;
xul = xmax;
yll = ymin;
yul = ymax
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=4)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=4)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=4)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
# print labels[s0] == nsp2
w2_min.append(min(xv))
w2_max.append(max(xv))
elif labels[s0] == nsp3:
# print labels[s0] == nsp3
w3_min.append(min(xv))
w3_max.append(max(xv))
elif labels[s0] == nsp4:
# print labels[s0] == nsp4
w4_min.append(min(xv))
w4_max.append(max(xv))
elif labels[s0] == nsp5:
# print labels[s0] == nsp5
w5_min.append(min(xv))
w5_max.append(max(xv))
elif labels[s0] == nsp6:
# print labels[s0] == nsp6
w6_min.append(min(xv))
w6_max.append(max(xv))
if labels[s1] == nsp7:
print(labels[s0], nsp7)
w7_min.append(min(yv))
w7_max.append(max(yv))
levs = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30]
cs = ax.contourf(xi, yi, zi, levs, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1 or cc == 8 or cc == 15 or cc == 22 or cc == 29 or cc == 36 or cc == 9 or cc == 16 or cc == 23 or cc == 30 or cc == 37 or cc == 17 or cc == 24 or cc == 31 or cc == 38 or cc == 25 or cc == 32 or cc == 39 or cc == 33 or cc == 40 or cc == 41:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
ax.set_yticks((0., 0.5))
ax.set_xticks((0., 0.5))
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.minorticks_on()
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
else:
ax.minorticks_on()
plt.setp(ax.get_xticklabels(), visible=False)
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
if cc == 9 or cc == 16 or cc == 23 or cc == 30 or cc == 44 or cc == 17 or cc == 24 or cc == 31 or cc == 45 or cc == 25 or cc == 32 or cc == 46 or cc == 33 or cc == 47 or cc == 48 or cc == 49:
plt.gca().axes.get_yaxis().set_visible(False)
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
ax.minorticks_on()
elif cc == 37 or cc == 38 or cc == 39 or cc == 40 or cc == 41:
# plt.gca().axes.get_yaxis().set_visible(True)
plt.setp(ax.get_xticklabels(), visible=True)
plt.tick_params(left='on')
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
ax.minorticks_on()
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.minorticks_on()
# plt.setp(ax.get_xticklabels(), visible=True)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max, w4n_min, w4n_max, w5n_min, w5n_max, w6n_min, w6n_max, w7n_min, w7n_max = np.mean(
w1_min), np.mean(w1_max), np.mean(w2_min), np.mean(w2_max), np.mean(w3_min), np.mean(w3_max), np.mean(
w4_min), np.mean(w4_max), np.mean(w5_min), np.mean(w5_max), np.mean(w6_min), np.mean(w6_max), np.mean(
w7_min), np.mean(w7_max)
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min, w4n_min, w5n_min, w6n_min, w7n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max, w4n_max, w5n_max, w6n_max, w7n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace('HCOOH:15.0K',
'HCOOH 15K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO', 'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K', 'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_4$:' + nsp4.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace(
'CH3CN', 'CH$_3$CN').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_5$:' + nsp5.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_6$:' + nsp6.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_7$:' + nsp7.replace('CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace(
'H2O:CH3OH:1:1:c', 'H2O:CH3OH:1:1-CR').replace('HCOOH:15.0K', 'HCOOH 15K').replace(
'CO:NH3:10K', 'CO:NH$_3$ 10K').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)')))
props = dict(boxstyle='round', facecolor='white')
ax.text(-2.0, 5.97, textstr, transform=ax.transAxes, fontsize=45, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, 0.07, 0.85, 0.02])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=45)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=45)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
def st_plot_contour8(file1, pathdir):
"""
Chi-square maps for 8 variables.
Parameters
-------------
file1 : 'str'
Path chi-squares from the GA optimization.
"""
print('---------------------------')
print('Making Contour Plot...')
print('---------------------------')
sig1 = 9.52
sig2 = 13.36
sig3 = 20.09
with open(file1, 'r') as f2:
lines = f2.readlines()
data = []
data = [line.split() for line in lines]
data2 = np.asfarray(data)
home1 = pathdir
pathb = pathdir + 'Best_comb.csv'
tfil = pd.read_csv(pathb, delimiter=",", low_memory=True, usecols=['name'])
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7, nsp8 = tfil['name'][0], tfil['name'][1], tfil['name'][2], tfil['name'][3], \
tfil['name'][4], tfil['name'][5], tfil['name'][6], tfil['name'][7]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7, nsp8 = os.path.splitext(os.path.basename(nsp1))[0], \
os.path.splitext(os.path.basename(nsp2))[0], \
os.path.splitext(os.path.basename(nsp3))[0], \
os.path.splitext(os.path.basename(nsp4))[0], \
os.path.splitext(os.path.basename(nsp5))[0], \
os.path.splitext(os.path.basename(nsp6))[0], \
os.path.splitext(os.path.basename(nsp7))[0], \
os.path.splitext(os.path.basename(nsp8))[0]
nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7, nsp8 = nsp1.replace('_', ':'), nsp2.replace('_', ':'), nsp3.replace('_',
':'), nsp4.replace(
'_', ':'), nsp5.replace('_', ':'), nsp6.replace('_', ':'), nsp7.replace('_', ':'), nsp8.replace('_', ':')
labels = [nsp1, nsp2, nsp3, nsp4, nsp5, nsp6, nsp7, nsp8]
ucv = data2.shape[1] # number of columns
w_values = data2.shape[1] - 2 # weight values
chi = data2[:, ucv - 1]
deltachi = chi - min(chi)
b = find_nearest(deltachi, 50.)
a = get_line_number2(b, deltachi)
min0 = 0
max0 = a
chi = data2[:, ucv - 1] # [min0:max0]
deltachi = chi - min(chi) # - 35
# deltachi = deltachi0 - min(deltachi0)
c = np.linspace(0, w_values, ucv - 1)
a = list(combinations(c, 2))
idx0 = 0
idx1 = 1
count1 = 0
count2 = 0
w1_min, w1_max, w2_min, w2_max, w3_min, w3_max, w4_min, w4_max, w5_min, w5_max, w6_min, w6_max, w7_min, w7_max, w8_min, w8_max = [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []
fig = plt.figure(figsize=(30, 33.7))
pos = np.array(
[1, 8, 15, 22, 29, 36, 43, 9, 16, 23, 30, 37, 44, 17, 24, 31, 38, 45, 25, 32, 39, 46, 33, 40, 47, 41, 48, 49])
ar1 = list(range(len(a)))
ar2 = list(range(len(pos)))
for i, j in zip(ar1, ar2):
# print a[i][idx0], a[i][idx1]
s0 = int(a[i][idx0])
s1 = int(a[i][idx1])
p1 = data2[:, s0][min0:max0]
p2 = data2[:, s1][min0:max0]
p3 = deltachi[min0:max0]
cc = pos[j]
ax = fig.add_subplot(7, 7, cc) # fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(9.75, 3))
# print count1+1
x, y, z = p1, p2, p3
# xll = x.min(); xul = x.max(); yll = y.min(); yul = y.max()
xmin, xmax, ymin, ymax = 0.0, 1., 0., 1.
xll = xmin;
xul = xmax;
yll = ymin;
yul = ymax
xmin0 = np.where(z == np.min(z))
xmin0 = x[xmin0[0][0]]
ymin0 = np.where(z == np.min(z))
ymin0 = y[ymin0[0][0]]
interp = scipy.interpolate.Rbf(x, y, z, smooth=3, function='linear')
yi, xi = np.mgrid[yll:yul:100j, xll:xul:100j]
# min_fitness_idx = numpy.where(fitness == numpy.min(fitness))
# min_xi = np.where(np.min(xi) == sig3)
zi = interp(xi, yi)
contours1 = plt.contour(xi, yi, zi, [sig1], colors='olive', linestyle=':.', linewidths=4)
contours2 = plt.contour(xi, yi, zi, [sig2], colors='gold', linestyle=':', linewidths=4)
contours3 = plt.contour(xi, yi, zi, [sig3], colors='red', linestyle=':.', linewidths=4)
pv = contours2.collections[0].get_paths()[0]
vv = pv.vertices
xv = vv[:, 0]
yv = vv[:, 1]
# print labels[s0], min(xv), max(xv), labels[s1], min(yv), max(yv)
# print('-------------------------------')
# print('Index Specie C_I_Min C_I_Max')
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s0, labels[s0], min(xv), max(xv)))
# print('{:1f} {:7s} {:11.5f} {:11.5f}'.format(s1, labels[s1], min(yv), max(yv)))
# print 'labels[s0] == nsp8', labels[s1], nsp8
if labels[s0] == nsp1:
# print labels[s0] == nsp1
w1_min.append(min(xv))
w1_max.append(max(xv))
elif labels[s0] == nsp2:
# print labels[s0] == nsp2
w2_min.append(min(xv))
w2_max.append(max(xv))
elif labels[s0] == nsp3:
# print labels[s0] == nsp3
w3_min.append(min(xv))
w3_max.append(max(xv))
elif labels[s0] == nsp4:
# print labels[s0] == nsp4
w4_min.append(min(xv))
w4_max.append(max(xv))
elif labels[s0] == nsp5:
# print labels[s0] == nsp5
w5_min.append(min(xv))
w5_max.append(max(xv))
elif labels[s0] == nsp6:
# print labels[s0] == nsp6
w6_min.append(min(xv))
w6_max.append(max(xv))
elif labels[s0] == nsp7:
# print labels[s0], nsp7
w7_min.append(min(xv))
w7_max.append(max(xv))
if labels[s1] == nsp8:
# print labels[s1],nsp8
w8_min.append(min(yv))
w8_max.append(max(yv))
# levs = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 70, 80, 100]
levs = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30]
# levs = [0,0.5,1.0,1.5,2.0,2.5,3.0,3.5,4.0,4.5,5.0,5.5,6.0,6.5,7.0,7.5,8.0,8.5,9.0,9.5,10.,10.5,11.,11.5,12.0,12.5,13.,13.5,14.,14.5,15.,15.5,16.,16.5,17.,17.5,18.,18.5,19.,19.5,20.,20.5,21.,21.5,22.,22.5,23.,23.5,24.,24.5,25.]
cs = ax.contourf(xi, yi, zi, levs, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# cs = ax.contourf(xi, yi, zi, cmap=plt.cm.gray, vmin=min(z), vmax=max(z), zorder=0)
# plt.xticks(fontsize = 18)
# plt.yticks(fontsize = 18)
# Version with w1 and specie names separated
if cc == 1 or cc == 8 or cc == 15 or cc == 22 or cc == 29 or cc == 36 or cc == 9 or cc == 16 or cc == 23 or cc == 30 or cc == 37 or cc == 17 or cc == 24 or cc == 31 or cc == 38 or cc == 25 or cc == 32 or cc == 39 or cc == 33 or cc == 40 or cc == 41:
plt.setp(ax.get_xticklabels(), visible=False)
plt.tick_params(bottom='on')
ax.minorticks_on()
ax.set_yticks((0.5, 1.0))
ax.set_xticks((0.5, 1.0))
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
else:
# ax.set_xlabel(r'$\mathrm{'+'w'+'_'+str(s0+1)+'('+labels[s0]+'}$'+')', fontsize=45)
ax.minorticks_on()
ax.set_xlabel('w' + '$_' + str(s0 + 1) + '$', fontsize=45)
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10, rotation=45)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
if cc == 9 or cc == 16 or cc == 23 or cc == 30 or cc == 37 or cc == 44 or cc == 17 or cc == 24 or cc == 31 or cc == 38 or cc == 45 or cc == 25 or cc == 32 or cc == 39 or cc == 46 or cc == 33 or cc == 40 or cc == 47 or cc == 41 or cc == 48 or cc == 49:
plt.gca().axes.get_yaxis().set_visible(True)
plt.tick_params(left='on')
ax.minorticks_on()
ax.set_yticks((0.5, 1.0))
ax.set_xticks((0.5, 1.0))
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
ax.set_yticklabels([])
# plt.axis('off')
# plt.setp(ax.get_yticklabels(), visible=True)
# plt.tick_params(left='off')
# ax.set_xlabel(r'$\mathrm{'+labels[s0]+'}$', fontsize=18)
ax.set_ylabel(r'$\mathrm{' + 'w' + '_' + str(s1 + 1) + '(' + labels[s1] + '}$' + ')', fontsize=1)
else:
ax.minorticks_on()
ax.yaxis.set_ticks_position('both')
ax.xaxis.set_ticks_position('both')
ax.set_ylabel('w' + '$_' + str(s1 + 1) + '$', fontsize=45)
ax.tick_params(which='major', length=10, width=1, direction='in', labelsize=45, zorder=10)
ax.tick_params(which='minor', length=5, width=1, direction='in', labelsize=45, zorder=10)
count1 = count1 + 1
w1n_min, w1n_max, w2n_min, w2n_max, w3n_min, w3n_max, w4n_min, w4n_max, w5n_min, w5n_max, w6n_min, w6n_max, w7n_min, w7n_max = np.mean(
w1_min), np.mean(w1_max), np.mean(w2_min), np.mean(w2_max), np.mean(w3_min), np.mean(w3_max), np.mean(
w4_min), np.mean(w4_max), np.mean(w5_min), np.mean(w5_max), np.mean(w6_min), np.mean(w6_max), np.mean(
w7_min), np.mean(w7_max)
w8n_min, w8n_max = np.mean(w8_min), np.mean(w8_max)
# print 'w1n_min, w1n_max', w1n_min, w1n_max
np.savetxt('q_min.txt', np.transpose([w1n_min, w2n_min, w3n_min, w4n_min, w5n_min, w6n_min, w7n_min, w8n_min]))
np.savetxt('q_max.txt', np.transpose([w1n_max, w2n_max, w3n_max, w4n_max, w5n_max, w6n_max, w7n_max, w8n_max]))
textstr = '\n'.join((r'w$_1$:' + nsp1.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3', 'NH$_3$').replace('H2Oa',
'H$_2$O').replace(
'CO:CH3OH:CH3OCH3:15.0K', 'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace('CO:NH3:10K',
'CO:NH$_3$ 10K').replace(
'CO:CH3OH:10K', 'CO:CH$_3$OH 10K').replace('CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K',
'HCOOH 30K').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace(
'H2CO', 'H$_2$CO').replace('NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN',
'CH$_3$CN').replace(
'HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_2$:' + nsp2.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_3$:' + nsp3.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace('H2O:40K',
'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_4$:' + nsp4.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:CH4:10:0.6:a:V3',
'H$_2$O:CH$_4$:10:0.6').replace(
'H2O:40K', 'H$_2$O 40K').replace('NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace(
'CH3CN', 'CH$_3$CN').replace('HNCO:NH3', 'NH$_4^+$ (heating)'),
r'w$_5$:' + nsp5.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_6$:' + nsp6.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_7$:' + nsp7.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)'),
r'w$_8$:' + nsp8.replace('CO2', 'CO$_2$').replace('CH4', 'CH$_4$').replace('CH3OH',
'CH$_3$OH').replace(
'CH3CH2OH', 'CH$_3$CH$_2$OH').replace('CH3CHO', 'CH$_3$CHO').replace('NH3',
'NH$_3$').replace(
'H2Oa', 'H$_2$O').replace('CO:CH3OH:CH3OCH3:15.0K',
'CO:CH$_3$OH:CH$_3$OCH$_3$ 15K').replace('H2O:CH3OH:1:1:c',
'H2O:CH3OH:1:1-CR').replace(
'HCOOH:15.0K', 'HCOOH 15K').replace('CO:NH3:10K', 'CO:NH$_3$ 10K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('CO:CH3OH:10K',
'CO:CH$_3$OH 10K').replace('H2CO',
'H$_2$CO').replace(
'NH4NO3:200K', 'NH$_4^+$ (UV+heating)').replace('CO:CH3CHO:30.0K',
'CO:CH$_3$CHO 30K').replace(
'H2O:CH4:10:0.6:a:V3', 'H$_2$O:CH$_4$:10:0.6').replace('H2O:40K', 'H$_2$O 40K').replace(
'NH3:CH3OH:50:10K', 'NH$_3$:CH$_3$OH 10K').replace('CH3CN', 'CH$_3$CN').replace('HNCO:NH3',
'NH$_4^+$ (heating)').replace(
'CO:CH3CH2OH:30.0K', 'CO:CH$_3$CH$_2$OH 30K').replace('HCOOH:30.0K', 'HCOOH 30K').replace(
'H2O:NH3:CO:1.0:0.6:0.4:c', 'H$_2$O:NH$_3$:CO (1.0:0.6:0.4)-CR')))
props = dict(boxstyle='round', facecolor='white')
ax.text(-2.0, 5.97, textstr, transform=ax.transAxes, fontsize=45, verticalalignment='top', bbox=props)
# ax2 = fig.add_subplot(1,1,1)
# fig.colorbar(cs, orientation='vertical', fraction=0.046, pad=0.04)
# plt.tight_layout()
cb_ax = fig.add_axes([0.02, -0.02, 0.98, 0.01])
# cb_ax = fig.add_axes([.85, .3, .02, .8])
cbar = fig.colorbar(cs, cax=cb_ax, orientation='horizontal')
cbar.ax.tick_params(labelsize=45)
cbar.ax.set_xlabel(r'$\mathrm{\Delta(\nu,\alpha)=\chi^2 - \chi^2_{min}}$', fontsize=45)
plt.tight_layout(pad=0.0, w_pad=0.0, h_pad=0.0)
plt.subplots_adjust(wspace=0, hspace=0)
| 60.125473
| 259
| 0.447901
| 14,796
| 111,172
| 3.248513
| 0.030414
| 0.01679
| 0.014564
| 0.015292
| 0.961614
| 0.956621
| 0.948757
| 0.942619
| 0.935254
| 0.927577
| 0
| 0.108306
| 0.364066
| 111,172
| 1,848
| 260
| 60.158009
| 0.571558
| 0.09032
| 0
| 0.823571
| 0
| 0.025
| 0.194759
| 0.027743
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007143
| false
| 0
| 0.009286
| 0
| 0.018571
| 0.003571
| 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
|
e267f05b908f07e3bb987222b9d01516c110f740
| 10,328
|
py
|
Python
|
widgets/symbols_file.py
|
DragosCosmin2000/3D-Bin-Packing-Python-Application
|
01ba2ad4c86b87cca45d56093e2cf5ff845f0c6f
|
[
"Unlicense"
] | 6
|
2020-10-03T18:00:12.000Z
|
2021-08-07T17:52:27.000Z
|
widgets/symbols_file.py
|
DragosCosmin2000/3D-Bin-Packing-Python-Application
|
01ba2ad4c86b87cca45d56093e2cf5ff845f0c6f
|
[
"Unlicense"
] | null | null | null |
widgets/symbols_file.py
|
DragosCosmin2000/3D-Bin-Packing-Python-Application
|
01ba2ad4c86b87cca45d56093e2cf5ff845f0c6f
|
[
"Unlicense"
] | 2
|
2020-11-11T16:47:57.000Z
|
2020-11-17T01:55:02.000Z
|
import pygame
def draw_items_list_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
icon_rect = (rect[0] + rect[2] // 2 - dimension // 2, rect[1] + rect[3] // 2 - dimension // 2, 9 * dimension // 10, dimension)
pygame.draw.rect(surface, icon_color, icon_rect)
for i in range(1, 4):
start_pos = (icon_rect[0] + 2 * dimension // 10, icon_rect[1] + i * dimension // 4)
end_pos = (icon_rect[0] + 7 * dimension // 10, icon_rect[1] + i * dimension // 4)
pygame.draw.line(surface, icon_color2, start_pos, end_pos, 3)
def draw_delete_all_items_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
# trash bin's handle
points = [
(rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + dimension // 4),
(rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 8, rect[1] + (rect[3] - dimension) // 2),
(rect[0] + (rect[2] - dimension) // 2 + 5 * dimension // 8, rect[1] + (rect[3] - dimension) // 2),
(rect[0] + (rect[2] - dimension) // 2 + 5 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + dimension // 4)
]
pygame.draw.lines(surface, icon_color, False, points, 3)
# bin's cover
points = [
(rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4),
(rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 4),
(rect[0] + rect[2] - (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 4),
(rect[0] + rect[2] - (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4)
]
pygame.draw.lines(surface, icon_color, True, points, 3)
# bin's torso
points = [
(rect[0] + (rect[2] - dimension) // 2 + dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4),
(rect[0] + (rect[2] - dimension) // 2 + dimension // 4, rect[1] + (rect[3] - dimension) // 2 + dimension),
(rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 4, rect[1] + (rect[3] - dimension) // 2 + dimension),
(rect[0] + (rect[2] - dimension) // 2 + 7 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4)
]
pygame.draw.lines(surface, icon_color, False, points, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + 5 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 2 * dimension // 4)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 5 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_random_add_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
# first arrow
start_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 4, rect[1] + (rect[3] - dimension) // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension // 4)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
# second arrow
start_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 3 * dimension // 8)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + 5 * dimension // 8, rect[1] + (rect[3] - dimension) // 2 + 5 * dimension // 8)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + 3 * dimension // 4)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 3 * dimension // 4, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_add_item_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 10, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 9 * dimension // 10, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 10)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 2, rect[1] + (rect[3] - dimension) // 2 + 9 * dimension // 10)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_remove_item_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 10, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + 9 * dimension // 10, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_left_arrow_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_right_arrow_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_double_left_arrow_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + 3 * rect[2] // 4, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension), rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension), rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + 3 * rect[2] // 4, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
def draw_double_right_arrow_icon(surface, rect, icon_color, icon_color2):
dimension = min(rect[2], rect[3]) // 2
start_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + rect[2] // 2, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + rect[2] // 4, rect[1] + (rect[3] - dimension) // 2)
end_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
start_point = (rect[0] + (rect[2] - dimension) // 2 + dimension // 2, rect[1] + (rect[3] - dimension) // 2 + dimension // 2)
end_point = (rect[0] + rect[2] // 4, rect[1] + (rect[3] - dimension) // 2 + dimension)
pygame.draw.line(surface, icon_color, start_point, end_point, 3)
| 66.205128
| 136
| 0.590821
| 1,528
| 10,328
| 3.873691
| 0.03534
| 0.216253
| 0.126373
| 0.103058
| 0.958101
| 0.952357
| 0.948471
| 0.934279
| 0.921946
| 0.921102
| 0
| 0.066268
| 0.206623
| 10,328
| 156
| 137
| 66.205128
| 0.65609
| 0.006487
| 0
| 0.529412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07563
| false
| 0
| 0.008403
| 0
| 0.084034
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e27d2ebb23fe58c4454f8ae45cfff261bcc6105a
| 16,200
|
py
|
Python
|
tokyomou/tokyomou/spiders/tokyo.py
|
ParveshDhawan/Scrapping_Spiders
|
7139ed60af9a2982d4ac085a98fa648b796bdadd
|
[
"MIT"
] | null | null | null |
tokyomou/tokyomou/spiders/tokyo.py
|
ParveshDhawan/Scrapping_Spiders
|
7139ed60af9a2982d4ac085a98fa648b796bdadd
|
[
"MIT"
] | null | null | null |
tokyomou/tokyomou/spiders/tokyo.py
|
ParveshDhawan/Scrapping_Spiders
|
7139ed60af9a2982d4ac085a98fa648b796bdadd
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from scrapy_selenium import SeleniumRequest
from selenium.webdriver.common.keys import Keys
import operator
import time
from ..items import TokyomouItem
class TokyoSpider(scrapy.Spider):
name = 'tokyo'
# allowed_domains = ['www.apcis.tmou.org/public']
# start_urls = ['http://www.apcis.tmou.org/public/']
def start_requests(self):
yield SeleniumRequest(
url='https://apcis.tmou.org/public/',
wait_time=2,
screenshot=True,
callback=self.parse
)
def parse(self, response):
items = TokyomouItem()
driver = response.meta['driver']
# Captcha Frame
search_captcha = driver.find_element_by_xpath("//form/span").text
search_captcha = search_captcha.split()
ops = { "+": operator.add, "-": operator.sub, "*":operator.mul, "/":operator.floordiv }
val = ops[search_captcha[1]](int(search_captcha[0]),int(search_captcha[2]))
captcha_fill = driver.find_element_by_xpath("//input")
captcha_fill.clear()
captcha_fill.send_keys(val)
fill_captcha = driver.find_element_by_xpath("//button")
fill_captcha.click()
time.sleep(7)
# driver.save_screenshot('a.png')
# Selecter Frame
from_date = driver.find_element_by_xpath("//input[@name='From']")
from_date.clear()
from_date.click()
from_date.send_keys("01.01.2020")
to_date = driver.find_element_by_xpath("//input[@name='Till']")
to_date.clear()
to_date.click()
to_date.send_keys("13.07.2020")
driver.find_element_by_xpath("//button[@id='inspections-search-button']").click()
time.sleep(15)
# driver.save_screenshot('screenshot.png')
#Main Frame
html = driver.page_source
response_obj = Selector(text=html)
Deficiencies = response_obj.xpath('''//tr[@onclick="onclick_shipinsp(this,'insp')"]/td[9]/text()''').getall()
for r in range(1,len(Deficiencies)+1):
row = str('''//tr[@onclick="onclick_shipinsp(this,'insp')"]''')+str('['+str(r)+']')
driver.find_element_by_xpath(row).click()
time.sleep(10)
# driver.save_screenshot('screenshot.png')
#Final Frame
html = driver.page_source
response_obj = Selector(text=html)
# yield{
# 'InspectionDate' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td/text()").get(),
# 'Authority' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'Port' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'InspectionType' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'Detention' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'ShipName' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[1]/text()").get(),
# 'IMONumber' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'MMSI' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'Callsign' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'ClassificationSociety' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'Flag' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[6]/text()").get(),
# 'ShipType' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[7]/text()").get(),
# 'DateKeelLaid' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[8]/text()").get(),
# 'DWT' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[9]/text()").get(),
# 'Tonnage' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[10]/text()").get(),
# 'C_Name' : response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[1]/text()").get(),
# 'C_IMONumber' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'C_Residence' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'C_Registered' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'C_Phone' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'C_Fax' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[6]/text()").get(),
# 'C_Email' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[7]/text()").get(),
# 'Deficiency_Count' : Deficiencies[r-1],
# 'Ship_Deficiencies' : response_obj.xpath("//h2[text()='Ship deficiencies']/following::table[1]/tbody/tr/td/text()").getall()
# }
items['InspectionDate'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td/text()").get(),
items['Authority'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['Port'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['InspectionType'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['Detention'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['ShipName'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[1]/text()").get(),
items['IMONumber'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['MMSI'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['Callsign'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['ClassificationSociety'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['Flag'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[6]/text()").get(),
items['ShipType'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[7]/text()").get(),
items['DateKeelLaid'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[8]/text()").get(),
items['DWT'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[9]/text()").get(),
items['Tonnage'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[10]/text()").get(),
items['C_Name'] = response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[1]/text()").get(),
items['C_IMONumber'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['C_Residence'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['C_Registered'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['C_Phone'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['C_Fax'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[6]/text()").get(),
items['C_Email'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[7]/text()").get(),
items['Deficiency_Count'] = Deficiencies[r-1],
items['Ship_Deficiencies'] = response_obj.xpath("//h2[text()='Ship deficiencies']/following::table[1]/tbody/tr/td/text()").getall()
yield items
driver.find_element_by_xpath('''//button[@onclick="return_to_getinspections(this)"]''').click()
time.sleep(10)
driver.save_screenshot('screenshot.png')
time.sleep(4)
html = driver.page_source
response_obj = Selector(text=html)
while response_obj.xpath("//a[@title='To the next page']"):
driver.find_element_by_xpath("//a[@title='To the next page']").click()
time.sleep(15)
html = driver.page_source
response_obj = Selector(text=html)
Deficiencies = response_obj.xpath('''//tr[@onclick="onclick_shipinsp(this,'insp')"]/td[9]/text()''').getall()
for r in range(1,len(Deficiencies)+1):
row = str('''//tr[@onclick="onclick_shipinsp(this,'insp')"]''')+str('['+str(r)+']')
driver.find_element_by_xpath(row).click()
time.sleep(10)
# driver.save_screenshot('screenshot.png')
#Final Frame
html = driver.page_source
response_obj = Selector(text=html)
# yield{
# 'InspectionDate' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td/text()").get(),
# 'Authority' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'Port' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'InspectionType' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'Detention' : response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'ShipName' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[1]/text()").get(),
# 'IMONumber' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'MMSI' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'Callsign' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'ClassificationSociety' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'Flag' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[6]/text()").get(),
# 'ShipType' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[7]/text()").get(),
# 'DateKeelLaid' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[8]/text()").get(),
# 'DWT' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[9]/text()").get(),
# 'Tonnage' : response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[10]/text()").get(),
# 'C_Name' : response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[1]/text()").get(),
# 'C_IMONumber' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[2]/text()").get(),
# 'C_Residence' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[3]/text()").get(),
# 'C_Registered' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[4]/text()").get(),
# 'C_Phone' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[5]/text()").get(),
# 'C_Fax' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[6]/text()").get(),
# 'C_Email' :response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[7]/text()").get(),
# 'Deficiency_Count' : Deficiencies[r-1],
# 'Ship_Deficiencies' : response_obj.xpath("//h2[text()='Ship deficiencies']/following::table[1]/tbody/tr/td/text()").getall()
# }
items['InspectionDate'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td/text()").get(),
items['Authority'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['Port'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['InspectionType'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['Detention'] = response_obj.xpath("//h2[text()='Inspection data']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['ShipName'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[1]/text()").get(),
items['IMONumber'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['MMSI'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['Callsign'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['ClassificationSociety'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['Flag'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[6]/text()").get(),
items['ShipType'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[7]/text()").get(),
items['DateKeelLaid'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[8]/text()").get(),
items['DWT'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[9]/text()").get(),
items['Tonnage'] = response_obj.xpath("//h2[text()='Ship data']/following::table[1]/tbody/tr/td[10]/text()").get(),
items['C_Name'] = response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[1]/text()").get(),
items['C_IMONumber'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[2]/text()").get(),
items['C_Residence'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[3]/text()").get(),
items['C_Registered'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[4]/text()").get(),
items['C_Phone'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[5]/text()").get(),
items['C_Fax'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[6]/text()").get(),
items['C_Email'] =response_obj.xpath("//h2[text()='Company details']/following::table[1]/tbody/tr/td[7]/text()").get(),
items['Deficiency_Count'] = Deficiencies[r-1],
items['Ship_Deficiencies'] = response_obj.xpath("//h2[text()='Ship deficiencies']/following::table[1]/tbody/tr/td/text()").getall()
yield items
driver.find_element_by_xpath('''//button[@onclick="return_to_getinspections(this)"]''').click()
time.sleep(10)
driver.save_screenshot('screenshot.png')
time.sleep(4)
| 82.233503
| 143
| 0.59358
| 2,102
| 16,200
| 4.472407
| 0.073264
| 0.117009
| 0.161685
| 0.176151
| 0.905967
| 0.895969
| 0.882459
| 0.877353
| 0.869482
| 0.864483
| 0
| 0.023601
| 0.168272
| 16,200
| 196
| 144
| 82.653061
| 0.674113
| 0.360123
| 0
| 0.666667
| 0
| 0.383333
| 0.40944
| 0.283869
| 0
| 0
| 0
| 0
| 0
| 1
| 0.016667
| false
| 0
| 0.058333
| 0
| 0.091667
| 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
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
e2a47bae84101545584796de0a7c01b10bb268e3
| 22,547
|
py
|
Python
|
data/Build_AS_dataset.py
|
trib-plan/TriB-QA
|
996c763ac0bc5f69ce04a60376d5b3a3d5face3b
|
[
"MIT"
] | 48
|
2019-03-11T12:57:41.000Z
|
2022-01-25T09:17:32.000Z
|
data/Build_AS_dataset.py
|
BarryZM/TriB-QA
|
996c763ac0bc5f69ce04a60376d5b3a3d5face3b
|
[
"MIT"
] | 3
|
2019-04-10T09:47:13.000Z
|
2019-07-18T12:53:10.000Z
|
data/Build_AS_dataset.py
|
BarryZM/TriB-QA
|
996c763ac0bc5f69ce04a60376d5b3a3d5face3b
|
[
"MIT"
] | 8
|
2019-03-19T08:44:58.000Z
|
2020-04-08T10:08:21.000Z
|
import json
# 自己做测试集和训练集。
from preprocess_rougel import get_rougel
def get_example(qas_id, para, seg_para, fake_answer,question,start_poi, end_poi):
return {
"id": qas_id,
"doc": para,
"seg_para": seg_para,
"fake_answer": fake_answer,
"question": question,
# "seg_qus": seg_qus,
"answer_span": [start_poi,end_poi]
}
# 一开始的train数据拆开 做一个训练集和开发集。
def generate_train_dev_from_raw_train():
cnt = 0
f_cnt = 0
writer = open("F:\\TriB-QA\data\\f2.search.train.json",'w',encoding='utf-8')
dev_writer = open("F:\\TriB-QA\data\\f2.search.dev.json",'w',encoding='utf-8')
with open("D:\迅雷下载\\train_preprocessed\\train_preprocessed\\trainset\\search.train.json",encoding = 'utf-8') as reader:
for line in reader:
selected_segmented_para = []
selected_para = []
example = json.loads(line)
cnt +=1
if len(example['answer_spans']) == 0:
continue
start_position = int(example['answer_spans'][0][0])
end_position = int(example['answer_spans'][0][1])
answer_doc = int(example['answer_docs'][0])
selected_doc = example['documents'][answer_doc]
selected_para_no = int(selected_doc['most_related_para'])
if selected_para_no == 0:
start_position = start_position
end_position = end_position
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no] + selected_doc['paragraphs'][
selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + selected_doc['segmented_paragraphs'][selected_para_no + 1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
else:
start_position = start_position + len(selected_doc['segmented_paragraphs'][selected_para_no-1])
end_position = end_position +len(selected_doc['segmented_paragraphs'][selected_para_no-1])
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no] + selected_doc['paragraphs'][selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no-1]+selected_doc['segmented_paragraphs'][selected_para_no]+selected_doc['segmented_paragraphs'][selected_para_no+1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
selected_doc['segmented_paragraphs'][selected_para_no]
qas_id = example['question_id']
fake_answer = example['fake_answers']
question = example['question']
example = get_example(qas_id,selected_para,selected_segmented_para,fake_answer,question,start_position,end_position)
f_cnt += 1
if f_cnt % 15 == 0:
dev_writer.write(json.dumps(example, ensure_ascii=False))
dev_writer.write('\n')
else:
writer.write(json.dumps(example, ensure_ascii=False))
writer.write('\n')
print("%d / %d " % (f_cnt,cnt))
# 最后用所有的train 例子去训练Bert模型，最后是25W个例子，不需要开发集。
def generate_all_train_data():
f_cnt = 0
cnt = 0
filter_answer = 0
no_true_answer = 0
low_rougel= 0
writer = open("F:\Baidu_train\\filtered_all_train.json",'w',encoding='utf-8')
with open("F:\\baidu_raw_data\\train_preprocessed\\train_preprocessed\\trainset\\search.train.json",encoding = 'utf-8') as reader:
# with open("F:\TriB-QA\Intermediate_data\search.dev.json",
# encoding='utf-8') as reader:
for line in reader:
selected_segmented_para = []
selected_para = []
example = json.loads(line)
cnt +=1
if len(example['answer_spans']) == 0:
continue
start_position = int(example['answer_spans'][0][0])
end_position = int(example['answer_spans'][0][1])
answer_doc = int(example['answer_docs'][0])
selected_doc = example['documents'][answer_doc]
selected_para_no = int(selected_doc['most_related_para'])
answer_text =selected_doc['segmented_paragraphs'][selected_para_no]
fake_answer = example['fake_answers']
answer_spans = example['answer_spans'][0]
answers = "".join(answer_text[answer_spans[0]: answer_spans[1] + 1])
if answers in ['。', '.', ',', '，', '!', '！', '?', '？', '的', '了', '%', ]:
filter_answer += 1
continue
elif len(answer_text[answer_spans[0]: answer_spans[1] + 1]) < 20 and example['match_scores'][0] < 0.5:
filter_answer += 1
continue
true_answer = example['answers']
try:
rougel = get_rougel(fake_answer[0], true_answer)
except:
no_true_answer += 1
rougel = 1
if rougel < 0.5:
low_rougel += 1
continue
if selected_para_no == 0:
start_position = start_position
end_position = end_position
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no] + selected_doc['paragraphs'][
selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + selected_doc['segmented_paragraphs'][selected_para_no + 1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
else:
start_position = start_position + len(selected_doc['segmented_paragraphs'][selected_para_no-1])
end_position = end_position +len(selected_doc['segmented_paragraphs'][selected_para_no-1])
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no] + selected_doc['paragraphs'][selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no-1]+selected_doc['segmented_paragraphs'][selected_para_no]+selected_doc['segmented_paragraphs'][selected_para_no+1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
selected_doc['segmented_paragraphs'][selected_para_no]
qas_id = example['question_id']
fake_answer = example['fake_answers']
question = example['question']
example = get_example(qas_id,selected_para,selected_segmented_para,fake_answer,question,start_position,end_position)
f_cnt += 1
writer.write(json.dumps(example, ensure_ascii=False))
writer.write('\n')
print("%d / %d " % (f_cnt,cnt))
print('finishing search train')
with open("F:\\baidu_raw_data\\train_preprocessed\\train_preprocessed\\trainset\\zhidao.train.json",encoding = 'utf-8') as reader:
for line in reader:
selected_segmented_para = []
selected_para = []
example = json.loads(line)
cnt +=1
if len(example['answer_spans']) == 0:
continue
start_position = int(example['answer_spans'][0][0])
end_position = int(example['answer_spans'][0][1])
answer_doc = int(example['answer_docs'][0])
try:
selected_doc = example['documents'][answer_doc]
except IndexError:
print(example)
continue
selected_para_no = int(selected_doc['most_related_para'])
answer_text =selected_doc['segmented_paragraphs'][selected_para_no]
fake_answer = example['fake_answers']
answer_spans = example['answer_spans'][0]
answers = "".join(answer_text[answer_spans[0]: answer_spans[1] + 1])
if answers in ['。', '.', ',', '，', '!', '！', '?', '？', '的', '了', '%', ]:
filter_answer += 1
continue
elif len(answer_text[answer_spans[0]: answer_spans[1] + 1]) < 20 and example['match_scores'][0] < 0.5:
filter_answer += 1
continue
true_answer = example['answers']
try:
rougel = get_rougel(fake_answer[0], true_answer)
except:
no_true_answer += 1
rougel = 1
if rougel < 0.5:
low_rougel += 1
continue
if selected_para_no == 0:
start_position = start_position
end_position = end_position
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no] + selected_doc['paragraphs'][
selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + selected_doc['segmented_paragraphs'][selected_para_no + 1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
else:
start_position = start_position + len(selected_doc['segmented_paragraphs'][selected_para_no-1])
end_position = end_position +len(selected_doc['segmented_paragraphs'][selected_para_no-1])
if selected_para_no + 1 < len(selected_doc['paragraphs']):
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no] + selected_doc['paragraphs'][selected_para_no + 1]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no-1]+selected_doc['segmented_paragraphs'][selected_para_no]+selected_doc['segmented_paragraphs'][selected_para_no+1]
else:
selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
selected_para_no]
selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
selected_doc['segmented_paragraphs'][selected_para_no]
qas_id = example['question_id']
fake_answer = example['fake_answers']
question = example['question']
example = get_example(qas_id,selected_para,selected_segmented_para,fake_answer,question,start_position,end_position)
f_cnt += 1
writer.write(json.dumps(example, ensure_ascii=False))
writer.write('\n')
print("%d / %d " % (f_cnt,cnt))
writer.close()
#
# def generate_all_train_data():
# f_cnt = 0
# cnt = 0
# writer = open("F:\TriB-QA\Intermediate_data\\official_dev.json",'w',encoding='utf-8')
# # with open("D:\迅雷下载\\train_preprocessed\\train_preprocessed\\trainset\\search.train.json",encoding = 'utf-8') as reader:
# with open("F:\TriB-QA\Intermediate_data\search.dev.json",
# encoding='utf-8') as reader:
# for line in reader:
# selected_segmented_para = []
# selected_para = []
# example = json.loads(line)
# cnt +=1
# if len(example['answer_spans']) == 0:
# continue
# start_position = int(example['answer_spans'][0][0])
# end_position = int(example['answer_spans'][0][1])
#
#
# answer_doc = int(example['answer_docs'][0])
# selected_doc = example['documents'][answer_doc]
# selected_para_no = int(selected_doc['most_related_para'])
#
# if selected_para_no == 0:
# start_position = start_position
# end_position = end_position
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_para = selected_doc['paragraphs'][selected_para_no] + selected_doc['paragraphs'][
# selected_para_no + 1]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_para = selected_doc['paragraphs'][selected_para_no]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
# else:
# start_position = start_position + len(selected_doc['segmented_paragraphs'][selected_para_no-1])
# end_position = end_position +len(selected_doc['segmented_paragraphs'][selected_para_no-1])
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
# selected_para_no] + selected_doc['paragraphs'][selected_para_no + 1]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no-1]+selected_doc['segmented_paragraphs'][selected_para_no]+selected_doc['segmented_paragraphs'][selected_para_no+1]
# else:
# selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
# selected_para_no]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no]
#
# qas_id = example['question_id']
# fake_answer = example['fake_answers']
# question = example['question']
# example = get_example(qas_id,selected_para,selected_segmented_para,fake_answer,question,start_position,end_position)
#
# f_cnt += 1
# writer.write(json.dumps(example, ensure_ascii=False))
# writer.write('\n')
# print("%d / %d " % (f_cnt,cnt))
#
# print('finishing search train')
#
# with open("F:\TriB-QA\Intermediate_data\zhidao.dev.json",encoding = 'utf-8') as reader:
# for line in reader:
# selected_segmented_para = []
# selected_para = []
# example = json.loads(line)
# cnt +=1
# if len(example['answer_spans']) == 0:
# continue
# start_position = int(example['answer_spans'][0][0])
# end_position = int(example['answer_spans'][0][1])
#
#
# answer_doc = int(example['answer_docs'][0])
# try:
# selected_doc = example['documents'][answer_doc]
# except IndexError:
# print(example)
# continue
# selected_para_no = int(selected_doc['most_related_para'])
#
# if selected_para_no == 0:
# start_position = start_position
# end_position = end_position
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_para = selected_doc['paragraphs'][selected_para_no] + selected_doc['paragraphs'][
# selected_para_no + 1]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_para = selected_doc['paragraphs'][selected_para_no]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
# else:
# start_position = start_position + len(selected_doc['segmented_paragraphs'][selected_para_no-1])
# end_position = end_position +len(selected_doc['segmented_paragraphs'][selected_para_no-1])
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
# selected_para_no] + selected_doc['paragraphs'][selected_para_no + 1]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no-1]+selected_doc['segmented_paragraphs'][selected_para_no]+selected_doc['segmented_paragraphs'][selected_para_no+1]
# else:
# selected_para = selected_doc['paragraphs'][selected_para_no - 1] + selected_doc['paragraphs'][
# selected_para_no]
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no]
#
# qas_id = example['question_id']
# fake_answer = example['fake_answers']
# question = example['question']
# example = get_example(qas_id,selected_para,selected_segmented_para,fake_answer,question,start_position,end_position)
#
# f_cnt += 1
# writer.write(json.dumps(example, ensure_ascii=False))
# writer.write('\n')
# print("%d / %d " % (f_cnt,cnt))
#
# writer.close()
#
# def generate_all_train_data():
# f_cnt = 0
# cnt = 0
# writer = open("F:\TriB-QA\Intermediate_data\\search_dev_paragraph.json", 'w', encoding='utf-8')
# # with open("D:\迅雷下载\\train_preprocessed\\train_preprocessed\\trainset\\search.train.json",encoding = 'utf-8') as reader:
# with open("F:\TriB-QA\Intermediate_data\search.dev.json",
# encoding='utf-8') as reader:
# for line in reader:
# example = json.loads(line)
# cnt += 1
# selected_doc = example['documents'][0]
# selected_para_no = int(selected_doc['most_related_para'])
#
# if selected_para_no == 0:
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + \
# selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
# else:
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no] + \
# selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no]
#
# qas_id = example['question_id']
# question = example['question']
# example = get_example(qas_id, selected_segmented_para, question)
#
# f_cnt += 1
# writer.write(json.dumps(example, ensure_ascii=False))
# writer.write('\n')
# print("%d / %d " % (f_cnt, cnt))
#
# print('finishing search train')
#
# writer1 = open("F:\TriB-QA\Intermediate_data\\zhidao_dev_paragraph.json", 'w', encoding='utf-8')
# with open("F:\TriB-QA\Intermediate_data\zhidao.dev.json", encoding='utf-8') as reader:
# for line in reader:
# example = json.loads(line)
# cnt += 1
#
# selected_doc = example['documents'][0]
# selected_para_no = int(selected_doc['most_related_para'])
#
# if selected_para_no == 0:
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no] + \
# selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no]
# else:
# if selected_para_no + 1 < len(selected_doc['paragraphs']):
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no] + \
# selected_doc['segmented_paragraphs'][selected_para_no + 1]
# else:
# selected_segmented_para = selected_doc['segmented_paragraphs'][selected_para_no - 1] + \
# selected_doc['segmented_paragraphs'][selected_para_no]
#
# qas_id = example['question_id']
# question = example['question']
# example = get_example(qas_id, selected_segmented_para, question)
#
# f_cnt += 1
# writer1.write(json.dumps(example, ensure_ascii=False))
# writer1.write('\n')
# print("%d / %d " % (f_cnt, cnt))
# writer1.close()
# writer.close()
| 53.42891
| 216
| 0.585799
| 2,419
| 22,547
| 5.100041
| 0.04506
| 0.161466
| 0.154333
| 0.2101
| 0.965713
| 0.961255
| 0.959066
| 0.955743
| 0.941396
| 0.938072
| 0
| 0.012827
| 0.298088
| 22,547
| 421
| 217
| 53.555819
| 0.766713
| 0.460372
| 0
| 0.855
| 0
| 0
| 0.154778
| 0.030321
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015
| false
| 0
| 0.01
| 0.005
| 0.03
| 0.025
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2c7d8c6ef0a006a2baf823425741ee6a01655074
| 171
|
py
|
Python
|
setup/__init__.py
|
hatienl0i261299/Download_Soundcloud
|
212e041c8bb5caae15d1153d5863dd17a1d15812
|
[
"Apache-2.0"
] | 1
|
2020-01-22T09:38:44.000Z
|
2020-01-22T09:38:44.000Z
|
setup/__init__.py
|
hatienl0i261299/Download_Soundcloud
|
212e041c8bb5caae15d1153d5863dd17a1d15812
|
[
"Apache-2.0"
] | null | null | null |
setup/__init__.py
|
hatienl0i261299/Download_Soundcloud
|
212e041c8bb5caae15d1153d5863dd17a1d15812
|
[
"Apache-2.0"
] | null | null | null |
from .color import *
from .download_hls import *
from .download_http import *
from .progress_bar import *
from .session import *
from .utils import *
from .module import *
| 24.428571
| 28
| 0.760234
| 24
| 171
| 5.291667
| 0.458333
| 0.472441
| 0.283465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 171
| 7
| 29
| 24.428571
| 0.881944
| 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
|
e2bbf7312820d3030cfdfa7c65ea338a886c9872
| 6,345
|
py
|
Python
|
src/universidad/modelos/calificacion.py
|
eduardozamudio/15gmat
|
42c242c7df1ab4a3ab698bc5c2af59df0db9a5e4
|
[
"MIT"
] | null | null | null |
src/universidad/modelos/calificacion.py
|
eduardozamudio/15gmat
|
42c242c7df1ab4a3ab698bc5c2af59df0db9a5e4
|
[
"MIT"
] | null | null | null |
src/universidad/modelos/calificacion.py
|
eduardozamudio/15gmat
|
42c242c7df1ab4a3ab698bc5c2af59df0db9a5e4
|
[
"MIT"
] | null | null | null |
from universidad.helpers import helpers
CALIFICACION_QUERY = "SELECT * FROM calificaciones WHERE id_estudiante ILIKE %s OR id_asignatura ILIKE %s OR edicion ILIKE %s ESCAPE '';"
CALIFICACION_QUERY_ALL = "SELECT * FROM calificaciones;"
CALIFICACION_QUERY_ID = "SELECT * FROM calificaciones WHERE id_estudiante = %s AND id_asignatura = %s AND edicion = %s;"
CALIFICACION_INSERT = "INSERT INTO calificaciones (id_estudiante, id_asignatura, edicion, calificacion) VALUES (%s, %s, %s, %s);"
CALIFICACION_DELETE = "DELETE FROM calificaciones WHERE id_estudiante = %s AND id_asignatura = %s AND edicion = %s;"
CALIFICACION_UPDATE = "UPDATE calificaciones SET calificacion = %s WHERE id_estudiante = %s AND id_asignatura = %s AND edicion = %s;"
def add(id_estudiante, id_asignatura, edicion, calificacion):
"""
Agrega una tupla en la relación Estudiante.
Keyword arguments:
:param id_estudiante: El identificador del estudiante
:type id_estudiante: str
:param id_asignatura: El identificadir de la asignatura
:type id_asignatura: str
:param edicion: La edición de la asignatura
:type edicion: str
:param calificacion: La calificación del estudiante
:type calificacion: int
:returns: La tupla de calificacion
:rtype: dict
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_INSERT,
(id_estudiante, id_asignatura, edicion, calificacion))
cur2 = conn.cursor()
cur2.execute(CALIFICACION_QUERY_ID, (id_estudiante, id_asignatura, edicion))
result = cur2.fetchone()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
cur2.close()
conn.close()
return result
except Exception as e:
raise e
def get_all():
"""
Obtiene todas las tuplas de la relación Estudiantes
:returns: Todas las tuplas de la relación.
:rtype: list
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_QUERY_ALL)
result = cur.fetchall()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
conn.close()
return result
except Exception as e:
raise e
def get_by_id(id_estudiante, id_asignatura, edicion):
"""
Obtiene la tupla de la relación Estudiantes con el identificador
:param id_estudiante: El identificador del estudiante
:type id_estudiante: str
:param id_asignatura: El identificadir de la asignatura
:type id_asignatura: str
:param edicion: La edición de la asignatura
:type edicion: str
:returns: La tupla de la relación
:rtype: dict
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_QUERY_ID, (id_estudiante, id_asignatura, edicion))
result = cur.fetchone()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
conn.close()
return result
except Exception as e:
raise e
def get(id_estudiante, id_asignatura, edicion):
"""
Obtiene todos las tuplas de la relación Estudiantes
:param id_estudiante: El identificador del estudiante
:type id_estudiante: str
:param id_asignatura: El identificadir de la asignatura
:type id_asignatura: str
:param edicion: La edición de la asignatura
:type edicion: str
:returns: Todas las tuplas de la relación
:rtype: list
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_QUERY, (id_estudiante, id_asignatura, edicion))
result = cur.fetchall()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
conn.close()
return result
except Exception as e:
raise e
def update(id_estudiante, id_asignatura, edicion, calificacion):
"""
Actualiza la tupla de la relación Estudiante con id_calificaciones
:param id_estudiante: El identificador del estudiante
:type id_estudiante: str
:param id_asignatura: El identificadir de la asignatura
:type id_asignatura: str
:param edicion: La edición de la asignatura
:type edicion: str
:param calificacion: La calificación del estudiante
:type calificacion: int
:returns: La tupla actualizada en la relación
:rtype: dict
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_UPDATE, (calificacion, id_estudiante, id_asignatura, edicion))
cur2 = conn.cursor()
cur2.execute(CALIFICACION_QUERY_ID, (id_estudiante, id_asignatura, edicion))
result = cur2.fetchone()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
cur2.close()
conn.close()
return result
except Exception as e:
raise e
def delete(id_estudiante, id_asignatura, edicion):
"""
Elimina una tupla de la relación
:param id_estudiante: El identificador del estudiante
:type id_estudiante: str
:param id_asignatura: El identificadir de la asignatura
:type id_asignatura: str
:param edicion: La edición de la asignatura
:type edicion: str
:returns: La tupla eliminada de la relación.
:rtype: dict
"""
try:
conn = helpers.get_connection()
cur = conn.cursor()
cur.execute(CALIFICACION_DELETE, (id_estudiante, id_asignatura, edicion))
cur2 = conn.cursor()
cur2.execute(CALIFICACION_QUERY_ID, (id_estudiante, id_asignatura, edicion))
result = cur2.fetchone()
# Confirma los cambios y libera recursos
conn.commit()
cur.close()
cur2.close()
conn.close()
return result
except Exception as e:
raise e
| 28.710407
| 137
| 0.619701
| 709
| 6,345
| 5.421721
| 0.122708
| 0.087409
| 0.050989
| 0.087409
| 0.868366
| 0.858481
| 0.752081
| 0.743757
| 0.743757
| 0.743757
| 0
| 0.00273
| 0.307329
| 6,345
| 220
| 138
| 28.840909
| 0.8719
| 0.392435
| 0
| 0.764045
| 0
| 0.033708
| 0.154305
| 0
| 0
| 0
| 0
| 0.004545
| 0
| 1
| 0.067416
| false
| 0
| 0.011236
| 0
| 0.146067
| 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
|
394107b187ce3c88cdce13b79760fbed35b6d614
| 138
|
py
|
Python
|
src/nano/blocks.py
|
silverstar194/nano-python
|
f26b8bc895b997067780f925049a70e82c0c2479
|
[
"MIT"
] | 30
|
2018-01-13T19:41:43.000Z
|
2018-02-06T10:53:46.000Z
|
src/nano/blocks.py
|
silverstar194/nano-python
|
f26b8bc895b997067780f925049a70e82c0c2479
|
[
"MIT"
] | 198
|
2019-03-16T12:46:06.000Z
|
2019-10-23T12:56:12.000Z
|
src/nano/blocks.py
|
dourvaris/raiblocks-py
|
f26b8bc895b997067780f925049a70e82c0c2479
|
[
"MIT"
] | 11
|
2018-02-22T17:56:01.000Z
|
2021-07-08T20:49:30.000Z
|
#: Genesis block hash
GENESIS_BLOCK_HASH = (
'991CF190094C00F0B68E2E5F75F6BEE95A2E0BD93CEAA4A6734DB9F19B728948'
) # pragma: no cover
| 27.6
| 70
| 0.804348
| 10
| 138
| 10.9
| 0.7
| 0.220183
| 0.293578
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.325
| 0.130435
| 138
| 4
| 71
| 34.5
| 0.583333
| 0.268116
| 0
| 0
| 0
| 0
| 0.646465
| 0.646465
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 8
|
2026381a1c71fc7803c0e91cbe1a190c9029c657
| 321,852
|
py
|
Python
|
com/vmware/nsx_policy/infra_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
com/vmware/nsx_policy/infra_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
com/vmware/nsx_policy/infra_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------
# Copyright 2020 VMware, Inc. All rights reserved.
# AUTO GENERATED FILE -- DO NOT MODIFY!
#
# vAPI stub file for package com.vmware.nsx_policy.infra.
#---------------------------------------------------------------------------
"""
"""
__author__ = 'VMware, Inc.'
__docformat__ = 'restructuredtext en'
import sys
from vmware.vapi.bindings import type
from vmware.vapi.bindings.converter import TypeConverter
from vmware.vapi.bindings.enum import Enum
from vmware.vapi.bindings.error import VapiError
from vmware.vapi.bindings.struct import VapiStruct
from vmware.vapi.bindings.stub import (
ApiInterfaceStub, StubFactoryBase, VapiInterface)
from vmware.vapi.bindings.common import raise_core_exception
from vmware.vapi.data.validator import (UnionValidator, HasFieldsOfValidator)
from vmware.vapi.exception import CoreException
from vmware.vapi.lib.constants import TaskType
from vmware.vapi.lib.rest import OperationRestMetadata
class DhcpRelayConfigs(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.dhcp_relay_configs'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _DhcpRelayConfigsStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
dhcp_relay_config_id,
):
"""
Delete DHCP relay configuration
:type dhcp_relay_config_id: :class:`str`
:param dhcp_relay_config_id: DHCP relay config ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'dhcp_relay_config_id': dhcp_relay_config_id,
})
def get(self,
dhcp_relay_config_id,
):
"""
Read DHCP relay configuration
:type dhcp_relay_config_id: :class:`str`
:param dhcp_relay_config_id: DHCP relay config ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpRelayConfig`
:return: com.vmware.nsx_policy.model.DhcpRelayConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'dhcp_relay_config_id': dhcp_relay_config_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of all DHCP relay config instances
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpRelayConfigListResult`
:return: com.vmware.nsx_policy.model.DhcpRelayConfigListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
dhcp_relay_config_id,
dhcp_relay_config,
):
"""
If DHCP relay config with the dhcp-relay-config-id is not already
present, create a new DHCP relay config instance. If it already exists,
update the DHCP relay config instance with specified attributes.
:type dhcp_relay_config_id: :class:`str`
:param dhcp_relay_config_id: DHCP relay config ID (required)
:type dhcp_relay_config: :class:`com.vmware.nsx_policy.model_client.DhcpRelayConfig`
:param dhcp_relay_config: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'dhcp_relay_config_id': dhcp_relay_config_id,
'dhcp_relay_config': dhcp_relay_config,
})
def update(self,
dhcp_relay_config_id,
dhcp_relay_config,
):
"""
If DHCP relay config with the dhcp-relay-config-id is not already
present, create a new DHCP relay config instance. If it already exists,
replace the DHCP relay config instance with this object.
:type dhcp_relay_config_id: :class:`str`
:param dhcp_relay_config_id: DHCP relay config ID (required)
:type dhcp_relay_config: :class:`com.vmware.nsx_policy.model_client.DhcpRelayConfig`
:param dhcp_relay_config: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpRelayConfig`
:return: com.vmware.nsx_policy.model.DhcpRelayConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'dhcp_relay_config_id': dhcp_relay_config_id,
'dhcp_relay_config': dhcp_relay_config,
})
class DhcpServerConfigs(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.dhcp_server_configs'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _DhcpServerConfigsStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
dhcp_server_config_id,
):
"""
Delete DHCP server configuration
:type dhcp_server_config_id: :class:`str`
:param dhcp_server_config_id: DHCP server config ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'dhcp_server_config_id': dhcp_server_config_id,
})
def get(self,
dhcp_server_config_id,
):
"""
Read DHCP server configuration
:type dhcp_server_config_id: :class:`str`
:param dhcp_server_config_id: DHCP server config ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpServerConfig`
:return: com.vmware.nsx_policy.model.DhcpServerConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'dhcp_server_config_id': dhcp_server_config_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of all DHCP server config instances
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpServerConfigListResult`
:return: com.vmware.nsx_policy.model.DhcpServerConfigListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
dhcp_server_config_id,
dhcp_server_config,
):
"""
If DHCP server config with the dhcp-server-config-id is not already
present, create a new DHCP server config instance. If it already
exists, update the DHCP server config instance with specified
attributes. Realized entities of this API can be found using the path
of Tier-0 that this config is applied on.
:type dhcp_server_config_id: :class:`str`
:param dhcp_server_config_id: DHCP server config ID (required)
:type dhcp_server_config: :class:`com.vmware.nsx_policy.model_client.DhcpServerConfig`
:param dhcp_server_config: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'dhcp_server_config_id': dhcp_server_config_id,
'dhcp_server_config': dhcp_server_config,
})
def update(self,
dhcp_server_config_id,
dhcp_server_config,
):
"""
If DHCP server config with the dhcp-server-config-id is not already
present, create a new DHCP server config instance. If it already
exists, replace the DHCP server config instance with this object.
Realized entities of this API can be found using the path of Tier-0
that this config is applied on.
:type dhcp_server_config_id: :class:`str`
:param dhcp_server_config_id: DHCP server config ID (required)
:type dhcp_server_config: :class:`com.vmware.nsx_policy.model_client.DhcpServerConfig`
:param dhcp_server_config: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.DhcpServerConfig`
:return: com.vmware.nsx_policy.model.DhcpServerConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'dhcp_server_config_id': dhcp_server_config_id,
'dhcp_server_config': dhcp_server_config,
})
class DnsForwarderZones(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.dns_forwarder_zones'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _DnsForwarderZonesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
dns_forwarder_zone_id,
):
"""
Delete the DNS Forwarder Zone
:type dns_forwarder_zone_id: :class:`str`
:param dns_forwarder_zone_id: DNS Forwarder Zone ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'dns_forwarder_zone_id': dns_forwarder_zone_id,
})
def get(self,
dns_forwarder_zone_id,
):
"""
Read the DNS Forwarder Zone
:type dns_forwarder_zone_id: :class:`str`
:param dns_forwarder_zone_id: DNS Forwarder Zone ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDnsForwarderZone`
:return: com.vmware.nsx_policy.model.PolicyDnsForwarderZone
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'dns_forwarder_zone_id': dns_forwarder_zone_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of all Dns Forwarder Zones
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDnsForwarderZoneListResult`
:return: com.vmware.nsx_policy.model.PolicyDnsForwarderZoneListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
dns_forwarder_zone_id,
policy_dns_forwarder_zone,
):
"""
Create or update the DNS Forwarder Zone
:type dns_forwarder_zone_id: :class:`str`
:param dns_forwarder_zone_id: DNS Forwarder Zone ID (required)
:type policy_dns_forwarder_zone: :class:`com.vmware.nsx_policy.model_client.PolicyDnsForwarderZone`
:param policy_dns_forwarder_zone: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'dns_forwarder_zone_id': dns_forwarder_zone_id,
'policy_dns_forwarder_zone': policy_dns_forwarder_zone,
})
def update(self,
dns_forwarder_zone_id,
policy_dns_forwarder_zone,
):
"""
Create or update the DNS Forwarder Zone
:type dns_forwarder_zone_id: :class:`str`
:param dns_forwarder_zone_id: DNS Forwarder Zone ID (required)
:type policy_dns_forwarder_zone: :class:`com.vmware.nsx_policy.model_client.PolicyDnsForwarderZone`
:param policy_dns_forwarder_zone: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDnsForwarderZone`
:return: com.vmware.nsx_policy.model.PolicyDnsForwarderZone
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'dns_forwarder_zone_id': dns_forwarder_zone_id,
'policy_dns_forwarder_zone': policy_dns_forwarder_zone,
})
class Domains(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.domains'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _DomainsStub)
self._VAPI_OPERATION_IDS = {}
def get(self,
domain_id,
):
"""
Read a domain.
:type domain_id: :class:`str`
:param domain_id: Domain ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.Domain`
:return: com.vmware.nsx_policy.model.Domain
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'domain_id': domain_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of all domains for infra.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.DomainListResult`
:return: com.vmware.nsx_policy.model.DomainListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
class Drafts(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.drafts'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _DraftsStub)
self._VAPI_OPERATION_IDS = {}
def abort(self,
draft_id,
):
"""
If there is a failure during publish, the admin can choose to abort the
publishing attempts. This will bring back the system to the current
configuration, i.e just before the publish was invoked. If draft
publishing is not in progress or already completed, then this is a
NO-OP
:type draft_id: :class:`str`
:param draft_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('abort',
{
'draft_id': draft_id,
})
def delete(self,
draft_id,
):
"""
Delete a manual draft.
:type draft_id: :class:`str`
:param draft_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'draft_id': draft_id,
})
def get(self,
draft_id,
):
"""
Read a draft for a given draft identifier.
:type draft_id: :class:`str`
:param draft_id: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDraft`
:return: com.vmware.nsx_policy.model.PolicyDraft
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'draft_id': draft_id,
})
def list(self,
auto_drafts=None,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
List policy drafts.
:type auto_drafts: :class:`bool` or ``None``
:param auto_drafts: Fetch list of draft based on is_auto_draft flag (optional)
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDraftListResult`
:return: com.vmware.nsx_policy.model.PolicyDraftListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'auto_drafts': auto_drafts,
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
draft_id,
policy_draft,
):
"""
Create a new manual draft if the specified draft id does not correspond
to an existing draft. Update the manual draft otherwise. Auto draft can
not be updated.
:type draft_id: :class:`str`
:param draft_id: (required)
:type policy_draft: :class:`com.vmware.nsx_policy.model_client.PolicyDraft`
:param policy_draft: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'draft_id': draft_id,
'policy_draft': policy_draft,
})
def publish(self,
draft_id,
infra,
):
"""
Read a draft and publish it by applying changes onto current
configuration.
:type draft_id: :class:`str`
:param draft_id: (required)
:type infra: :class:`com.vmware.nsx_policy.model_client.Infra`
:param infra: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('publish',
{
'draft_id': draft_id,
'infra': infra,
})
def update(self,
draft_id,
policy_draft,
):
"""
Create a new manual draft if the specified draft id does not correspond
to an existing draft. Update the manual draft otherwise. Auto draft can
not be updated.
:type draft_id: :class:`str`
:param draft_id: (required)
:type policy_draft: :class:`com.vmware.nsx_policy.model_client.PolicyDraft`
:param policy_draft: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyDraft`
:return: com.vmware.nsx_policy.model.PolicyDraft
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'draft_id': draft_id,
'policy_draft': policy_draft,
})
class GroupAssociations(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.group_associations'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _GroupAssociationsStub)
self._VAPI_OPERATION_IDS = {}
def list(self,
intent_path,
cursor=None,
enforcement_point_path=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Get policy groups for which the given object is a member.
:type intent_path: :class:`str`
:param intent_path: String path of the intent object (required)
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type enforcement_point_path: :class:`str` or ``None``
:param enforcement_point_path: String Path of the enforcement point (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.PolicyResourceReferenceForEPListResult`
:return: com.vmware.nsx_policy.model.PolicyResourceReferenceForEPListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'intent_path': intent_path,
'cursor': cursor,
'enforcement_point_path': enforcement_point_path,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
class IpfixCollectorProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipfix_collector_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpfixCollectorProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ipfix_collector_profile_id,
):
"""
API deletes IPFIX collector profile. Flow forwarding to collector will
be stopped. This API is deprecated. Please use the following API:
https://<policy-mgr>/policy/api/v1/infra/ipfix-l2-collector-profiles
:type ipfix_collector_profile_id: :class:`str`
:param ipfix_collector_profile_id: IPFIX collector Profile id (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ipfix_collector_profile_id': ipfix_collector_profile_id,
})
def get(self,
ipfix_collector_profile_id,
):
"""
API will return details of IPFIX collector profile. If profile does not
exist, it will return 404. This API is deprecated. Please use the
following API:
https://<policy-mgr>/policy/api/v1/infra/ipfix-l2-collector-profiles
:type ipfix_collector_profile_id: :class:`str`
:param ipfix_collector_profile_id: IPFIX collector profile id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXCollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXCollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ipfix_collector_profile_id': ipfix_collector_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API will provide list of all IPFIX collector profiles and their
details. This API is deprecated. Please use the following API:
https://<policy-mgr>/policy/api/v1/infra/ipfix-l2-collector-profiles
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXCollectorProfileListResult`
:return: com.vmware.nsx_policy.model.IPFIXCollectorProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ipfix_collector_profile_id,
i_pfix_collector_profile,
):
"""
Create a new IPFIX collector profile if the IPFIX collector profile
with given id does not already exist. If the IPFIX collector profile
with the given id already exists, patch with the existing IPFIX
collector profile. This API is deprecated. Please use the following
API:
https://<policy-mgr>/policy/api/v1/infra/ipfix-l2-collector-profiles
:type ipfix_collector_profile_id: :class:`str`
:param ipfix_collector_profile_id: IPFIX collector profile id (required)
:type i_pfix_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXCollectorProfile`
:param i_pfix_collector_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ipfix_collector_profile_id': ipfix_collector_profile_id,
'i_pfix_collector_profile': i_pfix_collector_profile,
})
def update(self,
ipfix_collector_profile_id,
i_pfix_collector_profile,
):
"""
Create or Replace IPFIX collector profile. IPFIX data will be sent to
IPFIX collector port. This API is deprecated. Please use the following
API:
https://<policy-mgr>/policy/api/v1/infra/ipfix-l2-collector-profiles
:type ipfix_collector_profile_id: :class:`str`
:param ipfix_collector_profile_id: IPFIX collector profile id (required)
:type i_pfix_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXCollectorProfile`
:param i_pfix_collector_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXCollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXCollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ipfix_collector_profile_id': ipfix_collector_profile_id,
'i_pfix_collector_profile': i_pfix_collector_profile,
})
class IpfixDfwCollectorProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipfix_dfw_collector_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpfixDfwCollectorProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ipfix_dfw_collector_profile_id,
):
"""
API deletes IPFIX dfw collector profile. Flow forwarding to collector
will be stopped.
:type ipfix_dfw_collector_profile_id: :class:`str`
:param ipfix_dfw_collector_profile_id: IPFIX dfw collector Profile id (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ipfix_dfw_collector_profile_id': ipfix_dfw_collector_profile_id,
})
def get(self,
ipfix_dfw_collector_profile_id,
):
"""
API will return details of IPFIX dfw collector profile. If profile does
not exist, it will return 404.
:type ipfix_dfw_collector_profile_id: :class:`str`
:param ipfix_dfw_collector_profile_id: IPFIX dfw collector profile id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWCollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXDFWCollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ipfix_dfw_collector_profile_id': ipfix_dfw_collector_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API will provide list of all IPFIX dfw collector profiles and their
details.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWCollectorProfileListResult`
:return: com.vmware.nsx_policy.model.IPFIXDFWCollectorProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ipfix_dfw_collector_profile_id,
i_pfixdfw_collector_profile,
):
"""
Create a new IPFIX dfw collector profile if the IPFIX dfw collector
profile with given id does not already exist. If the IPFIX dfw
collector profile with the given id already exists, patch with the
existing IPFIX dfw collector profile.
:type ipfix_dfw_collector_profile_id: :class:`str`
:param ipfix_dfw_collector_profile_id: (required)
:type i_pfixdfw_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWCollectorProfile`
:param i_pfixdfw_collector_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ipfix_dfw_collector_profile_id': ipfix_dfw_collector_profile_id,
'i_pfixdfw_collector_profile': i_pfixdfw_collector_profile,
})
def update(self,
ipfix_dfw_collector_profile_id,
i_pfixdfw_collector_profile,
):
"""
Create or Replace IPFIX dfw collector profile. IPFIX data will be sent
to IPFIX collector port.
:type ipfix_dfw_collector_profile_id: :class:`str`
:param ipfix_dfw_collector_profile_id: IPFIX dfw collector profile id (required)
:type i_pfixdfw_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWCollectorProfile`
:param i_pfixdfw_collector_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWCollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXDFWCollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ipfix_dfw_collector_profile_id': ipfix_dfw_collector_profile_id,
'i_pfixdfw_collector_profile': i_pfixdfw_collector_profile,
})
class IpfixDfwProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipfix_dfw_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpfixDfwProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ipfix_dfw_profile_id,
):
"""
API deletes IPFIX DFW Profile. Selected IPFIX Collectors will stop
receiving flows.
:type ipfix_dfw_profile_id: :class:`str`
:param ipfix_dfw_profile_id: IPFIX DFW Profile ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ipfix_dfw_profile_id': ipfix_dfw_profile_id,
})
def get(self,
ipfix_dfw_profile_id,
):
"""
API will return details of IPFIX DFW profile.
:type ipfix_dfw_profile_id: :class:`str`
:param ipfix_dfw_profile_id: IPFIX DFW collection id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWProfile`
:return: com.vmware.nsx_policy.model.IPFIXDFWProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ipfix_dfw_profile_id': ipfix_dfw_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API provides list IPFIX DFW profiles available on selected logical DFW.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWProfileListResult`
:return: com.vmware.nsx_policy.model.IPFIXDFWProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ipfix_dfw_profile_id,
i_pfixdfw_profile,
):
"""
Create a new IPFIX DFW profile if the IPFIX DFW profile with given id
does not already exist. If the IPFIX DFW profile with the given id
already exists, patch with the existing IPFIX DFW profile.
:type ipfix_dfw_profile_id: :class:`str`
:param ipfix_dfw_profile_id: IPFIX DFW Profile ID (required)
:type i_pfixdfw_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWProfile`
:param i_pfixdfw_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ipfix_dfw_profile_id': ipfix_dfw_profile_id,
'i_pfixdfw_profile': i_pfixdfw_profile,
})
def update(self,
ipfix_dfw_profile_id,
i_pfixdfw_profile,
):
"""
Create or replace IPFIX DFW profile. Config will start forwarding data
to provided IPFIX DFW collector.
:type ipfix_dfw_profile_id: :class:`str`
:param ipfix_dfw_profile_id: IPFIX DFW Profile ID (required)
:type i_pfixdfw_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWProfile`
:param i_pfixdfw_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXDFWProfile`
:return: com.vmware.nsx_policy.model.IPFIXDFWProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ipfix_dfw_profile_id': ipfix_dfw_profile_id,
'i_pfixdfw_profile': i_pfixdfw_profile,
})
class IpfixL2CollectorProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipfix_l2_collector_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpfixL2CollectorProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ipfix_l2_collector_profile_id,
):
"""
API deletes IPFIX collector profile. Flow forwarding to collector will
be stopped.
:type ipfix_l2_collector_profile_id: :class:`str`
:param ipfix_l2_collector_profile_id: IPFIX collector Profile id (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ipfix_l2_collector_profile_id': ipfix_l2_collector_profile_id,
})
def get(self,
ipfix_l2_collector_profile_id,
):
"""
API will return details of IPFIX collector profile.
:type ipfix_l2_collector_profile_id: :class:`str`
:param ipfix_l2_collector_profile_id: IPFIX collector profile id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2CollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXL2CollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ipfix_l2_collector_profile_id': ipfix_l2_collector_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API will provide list of all IPFIX collector profiles and their
details.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2CollectorProfileListResult`
:return: com.vmware.nsx_policy.model.IPFIXL2CollectorProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ipfix_l2_collector_profile_id,
i_pfix_l2_collector_profile,
):
"""
Create a new IPFIX collector profile if the IPFIX collector profile
with given id does not already exist. If the IPFIX collector profile
with the given id already exists, patch with the existing IPFIX
collector profile.
:type ipfix_l2_collector_profile_id: :class:`str`
:param ipfix_l2_collector_profile_id: IPFIX collector profile id (required)
:type i_pfix_l2_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXL2CollectorProfile`
:param i_pfix_l2_collector_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ipfix_l2_collector_profile_id': ipfix_l2_collector_profile_id,
'i_pfix_l2_collector_profile': i_pfix_l2_collector_profile,
})
def update(self,
ipfix_l2_collector_profile_id,
i_pfix_l2_collector_profile,
):
"""
Create or Replace IPFIX collector profile. IPFIX data will be sent to
IPFIX collector.
:type ipfix_l2_collector_profile_id: :class:`str`
:param ipfix_l2_collector_profile_id: IPFIX collector profile id (required)
:type i_pfix_l2_collector_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXL2CollectorProfile`
:param i_pfix_l2_collector_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2CollectorProfile`
:return: com.vmware.nsx_policy.model.IPFIXL2CollectorProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ipfix_l2_collector_profile_id': ipfix_l2_collector_profile_id,
'i_pfix_l2_collector_profile': i_pfix_l2_collector_profile,
})
class IpfixL2Profiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipfix_l2_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpfixL2ProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ipfix_l2_profile_id,
):
"""
API deletes IPFIX L2 Profile. Flow forwarding to selected collector
will be stopped.
:type ipfix_l2_profile_id: :class:`str`
:param ipfix_l2_profile_id: IPFIX L2 Profile ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ipfix_l2_profile_id': ipfix_l2_profile_id,
})
def get(self,
ipfix_l2_profile_id,
):
"""
API will return details of IPFIX L2 profile.
:type ipfix_l2_profile_id: :class:`str`
:param ipfix_l2_profile_id: IPFIX L2 profile id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2Profile`
:return: com.vmware.nsx_policy.model.IPFIXL2Profile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ipfix_l2_profile_id': ipfix_l2_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API provides list IPFIX L2 Profiles available on selected logical l2.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2ProfileListResult`
:return: com.vmware.nsx_policy.model.IPFIXL2ProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ipfix_l2_profile_id,
i_pfix_l2_profile,
):
"""
Create a new IPFIX L2 profile if the IPFIX L2 profile with given id
does not already exist. If the IPFIX L2 profile with the given id
already exists, patch with the existing IPFIX L2 profile.
:type ipfix_l2_profile_id: :class:`str`
:param ipfix_l2_profile_id: IPFIX L2 Profile ID (required)
:type i_pfix_l2_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXL2Profile`
:param i_pfix_l2_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ipfix_l2_profile_id': ipfix_l2_profile_id,
'i_pfix_l2_profile': i_pfix_l2_profile,
})
def update(self,
ipfix_l2_profile_id,
i_pfix_l2_profile,
):
"""
Create or replace IPFIX L2 Profile. Profile is reusable entity. Single
profile can attached multiple bindings e.g group, segment and port.
:type ipfix_l2_profile_id: :class:`str`
:param ipfix_l2_profile_id: IPFIX L2 Profile ID (required)
:type i_pfix_l2_profile: :class:`com.vmware.nsx_policy.model_client.IPFIXL2Profile`
:param i_pfix_l2_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPFIXL2Profile`
:return: com.vmware.nsx_policy.model.IPFIXL2Profile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ipfix_l2_profile_id': ipfix_l2_profile_id,
'i_pfix_l2_profile': i_pfix_l2_profile,
})
class IpsecVpnDpdProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipsec_vpn_dpd_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpsecVpnDpdProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
dpd_profile_id,
):
"""
Delete custom dead peer detection (DPD) profile. Profile can not be
deleted if profile has references to it.
:type dpd_profile_id: :class:`str`
:param dpd_profile_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'dpd_profile_id': dpd_profile_id,
})
def get(self,
dpd_profile_id,
):
"""
Get custom dead peer detection (DPD) profile, given the particular id.
:type dpd_profile_id: :class:`str`
:param dpd_profile_id: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnDpdProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnDpdProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'dpd_profile_id': dpd_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Get paginated list of all DPD Profiles.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnDpdProfileListResult`
:return: com.vmware.nsx_policy.model.IPSecVpnDpdProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
dpd_profile_id,
ip_sec_vpn_dpd_profile,
):
"""
Create or patch dead peer detection (DPD) profile. Any change in
profile affects all sessions consuming this profile. System will be
provisioned with system owned editable default DPD profile. Any change
in profile affects all sessions consuming this profile.
:type dpd_profile_id: :class:`str`
:param dpd_profile_id: (required)
:type ip_sec_vpn_dpd_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnDpdProfile`
:param ip_sec_vpn_dpd_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'dpd_profile_id': dpd_profile_id,
'ip_sec_vpn_dpd_profile': ip_sec_vpn_dpd_profile,
})
def update(self,
dpd_profile_id,
ip_sec_vpn_dpd_profile,
):
"""
Create or patch dead peer detection (DPD) profile. Any change in
profile affects all sessions consuming this profile. System will be
provisioned with system owned editable default DPD profile. Any change
in profile affects all sessions consuming this profile. Revision is
optional for creation and required for update.
:type dpd_profile_id: :class:`str`
:param dpd_profile_id: (required)
:type ip_sec_vpn_dpd_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnDpdProfile`
:param ip_sec_vpn_dpd_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnDpdProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnDpdProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'dpd_profile_id': dpd_profile_id,
'ip_sec_vpn_dpd_profile': ip_sec_vpn_dpd_profile,
})
class IpsecVpnIkeProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipsec_vpn_ike_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpsecVpnIkeProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
ike_profile_id,
):
"""
Delete custom IKE Profile. Profile can not be deleted if profile has
references to it.
:type ike_profile_id: :class:`str`
:param ike_profile_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'ike_profile_id': ike_profile_id,
})
def get(self,
ike_profile_id,
):
"""
Get custom IKE Profile, given the particular id.
:type ike_profile_id: :class:`str`
:param ike_profile_id: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnIkeProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnIkeProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'ike_profile_id': ike_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Get paginated list of all IKE Profiles.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnIkeProfileListResult`
:return: com.vmware.nsx_policy.model.IPSecVpnIkeProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
ike_profile_id,
ip_sec_vpn_ike_profile,
):
"""
Create or patch custom internet key exchange (IKE) Profile. IKE Profile
is a reusable profile that captures IKE and phase one negotiation
parameters. System will be pre provisioned with system owned editable
default IKE profile and suggested set of profiles that can be used for
peering with popular remote peers like AWS VPN. User can create custom
profiles as needed. Any change in profile affects all sessions
consuming this profile.
:type ike_profile_id: :class:`str`
:param ike_profile_id: (required)
:type ip_sec_vpn_ike_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnIkeProfile`
:param ip_sec_vpn_ike_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'ike_profile_id': ike_profile_id,
'ip_sec_vpn_ike_profile': ip_sec_vpn_ike_profile,
})
def update(self,
ike_profile_id,
ip_sec_vpn_ike_profile,
):
"""
Create or fully replace custom internet key exchange (IKE) Profile. IKE
Profile is a reusable profile that captures IKE and phase one
negotiation parameters. System will be pre provisioned with system
owned editable default IKE profile and suggested set of profiles that
can be used for peering with popular remote peers like AWS VPN. User
can create custom profiles as needed. Any change in profile affects all
sessions consuming this profile. Revision is optional for creation and
required for update.
:type ike_profile_id: :class:`str`
:param ike_profile_id: (required)
:type ip_sec_vpn_ike_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnIkeProfile`
:param ip_sec_vpn_ike_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnIkeProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnIkeProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'ike_profile_id': ike_profile_id,
'ip_sec_vpn_ike_profile': ip_sec_vpn_ike_profile,
})
class IpsecVpnTunnelProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.ipsec_vpn_tunnel_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _IpsecVpnTunnelProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
tunnel_profile_id,
):
"""
Delete custom IPSec tunnel Profile. Profile can not be deleted if
profile has references to it.
:type tunnel_profile_id: :class:`str`
:param tunnel_profile_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'tunnel_profile_id': tunnel_profile_id,
})
def get(self,
tunnel_profile_id,
):
"""
Get custom IPSec tunnel Profile, given the particular id.
:type tunnel_profile_id: :class:`str`
:param tunnel_profile_id: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnTunnelProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnTunnelProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'tunnel_profile_id': tunnel_profile_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Get paginated list of all IPSec tunnel Profiles.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnTunnelProfileListResult`
:return: com.vmware.nsx_policy.model.IPSecVpnTunnelProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
tunnel_profile_id,
ip_sec_vpn_tunnel_profile,
):
"""
Create or patch custom IPSec tunnel profile. IPSec tunnel profile is a
reusable profile that captures phase two negotiation parameters and
tunnel properties. System will be provisioned with system owned
editable default IPSec tunnel profile. Any change in profile affects
all sessions consuming this profile.
:type tunnel_profile_id: :class:`str`
:param tunnel_profile_id: (required)
:type ip_sec_vpn_tunnel_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnTunnelProfile`
:param ip_sec_vpn_tunnel_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'tunnel_profile_id': tunnel_profile_id,
'ip_sec_vpn_tunnel_profile': ip_sec_vpn_tunnel_profile,
})
def update(self,
tunnel_profile_id,
ip_sec_vpn_tunnel_profile,
):
"""
Create or fully replace custom IPSec tunnel profile. IPSec tunnel
profile is a reusable profile that captures phase two negotiation
parameters and tunnel properties. System will be provisioned with
system owned editable default IPSec tunnel profile. Any change in
profile affects all sessions consuming this profile. Revision is
optional for creation and required for update.
:type tunnel_profile_id: :class:`str`
:param tunnel_profile_id: (required)
:type ip_sec_vpn_tunnel_profile: :class:`com.vmware.nsx_policy.model_client.IPSecVpnTunnelProfile`
:param ip_sec_vpn_tunnel_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.IPSecVpnTunnelProfile`
:return: com.vmware.nsx_policy.model.IPSecVpnTunnelProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'tunnel_profile_id': tunnel_profile_id,
'ip_sec_vpn_tunnel_profile': ip_sec_vpn_tunnel_profile,
})
class PartnerServices(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.partner_services'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _PartnerServicesStub)
self._VAPI_OPERATION_IDS = {}
def get(self,
service_name,
):
"""
Read the specific partner service identified by provided name.
:type service_name: :class:`str`
:param service_name: Name of the service (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.ServiceDefinition`
:return: com.vmware.nsx_policy.model.ServiceDefinition
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_name': service_name,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Read all the partner services available for service insertion
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.ServiceInsertionServiceListResult`
:return: com.vmware.nsx_policy.model.ServiceInsertionServiceListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
class PortMirroringProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.port_mirroring_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _PortMirroringProfilesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
port_mirroring_profile_id,
):
"""
API will delete port mirroring profile. Mirroring from source to
destination ports will be stopped.
:type port_mirroring_profile_id: :class:`str`
:param port_mirroring_profile_id: Port Mirroring Profile Id (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'port_mirroring_profile_id': port_mirroring_profile_id,
})
def get(self,
port_mirroring_profile_id,
):
"""
API will return details of port mirroring profile.
:type port_mirroring_profile_id: :class:`str`
:param port_mirroring_profile_id: Port Mirroring Profile Id (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PortMirroringProfile`
:return: com.vmware.nsx_policy.model.PortMirroringProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'port_mirroring_profile_id': port_mirroring_profile_id,
})
def list(self,
cursor=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
API will list all port mirroring profiles group.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.PortMirroringProfileListResult`
:return: com.vmware.nsx_policy.model.PortMirroringProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
port_mirroring_profile_id,
port_mirroring_profile,
):
"""
Create a new Port Mirroring Profile if the Port Mirroring Profile with
given id does not already exist. If the Port Mirroring Profile with the
given id already exists, patch with the existing Port Mirroring
Profile. Realized entities of this API can be found using the path of
monitoring profile binding map that is used to apply this profile.
:type port_mirroring_profile_id: :class:`str`
:param port_mirroring_profile_id: Port Mirroring Profile Id (required)
:type port_mirroring_profile: :class:`com.vmware.nsx_policy.model_client.PortMirroringProfile`
:param port_mirroring_profile: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'port_mirroring_profile_id': port_mirroring_profile_id,
'port_mirroring_profile': port_mirroring_profile,
})
def update(self,
port_mirroring_profile_id,
port_mirroring_profile,
):
"""
Create or Replace port mirroring profile. Packets will be mirrored from
source group, segment, port to destination group. Realized entities of
this API can be found using the path of monitoring profile binding map
that is used to apply this profile.
:type port_mirroring_profile_id: :class:`str`
:param port_mirroring_profile_id: Port Mirroring Profiles Id (required)
:type port_mirroring_profile: :class:`com.vmware.nsx_policy.model_client.PortMirroringProfile`
:param port_mirroring_profile: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.PortMirroringProfile`
:return: com.vmware.nsx_policy.model.PortMirroringProfile
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'port_mirroring_profile_id': port_mirroring_profile_id,
'port_mirroring_profile': port_mirroring_profile,
})
class Segments(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.segments'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _SegmentsStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
segment_id,
):
"""
Delete infra segment
:type segment_id: :class:`str`
:param segment_id: Segment ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'segment_id': segment_id,
})
def delete_0(self,
segment_id,
):
"""
Force delete bypasses validations during segment deletion. This may
result in an inconsistent connectivity.
:type segment_id: :class:`str`
:param segment_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete_0',
{
'segment_id': segment_id,
})
def get(self,
segment_id,
):
"""
Read infra segment
:type segment_id: :class:`str`
:param segment_id: Segment ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.Segment`
:return: com.vmware.nsx_policy.model.Segment
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'segment_id': segment_id,
})
def list(self,
cursor=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of all segments under infra.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.SegmentListResult`
:return: com.vmware.nsx_policy.model.SegmentListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
segment_id,
segment,
):
"""
If segment with the segment-id is not already present, create a new
segment. If it already exists, update the segment with specified
attributes.
:type segment_id: :class:`str`
:param segment_id: Segment ID (required)
:type segment: :class:`com.vmware.nsx_policy.model_client.Segment`
:param segment: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'segment_id': segment_id,
'segment': segment,
})
def update(self,
segment_id,
segment,
):
"""
If segment with the segment-id is not already present, create a new
segment. If it already exists, replace the segment with this object.
:type segment_id: :class:`str`
:param segment_id: Segment ID (required)
:type segment: :class:`com.vmware.nsx_policy.model_client.Segment`
:param segment: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.Segment`
:return: com.vmware.nsx_policy.model.Segment
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'segment_id': segment_id,
'segment': segment,
})
class Services(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx_policy.infra.services'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _ServicesStub)
self._VAPI_OPERATION_IDS = {}
def delete(self,
service_id,
):
"""
Delete Service
:type service_id: :class:`str`
:param service_id: Service ID (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
})
def get(self,
service_id,
):
"""
Read a service
:type service_id: :class:`str`
:param service_id: Service ID (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.Service`
:return: com.vmware.nsx_policy.model.Service
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
})
def list(self,
cursor=None,
default_service=None,
include_mark_for_delete_objects=None,
included_fields=None,
page_size=None,
sort_ascending=None,
sort_by=None,
):
"""
Paginated list of Services for infra.
:type cursor: :class:`str` or ``None``
:param cursor: Opaque cursor to be used for getting next page of records (supplied
by current result page) (optional)
:type default_service: :class:`bool` or ``None``
:param default_service: Fetch all default services (optional)
:type include_mark_for_delete_objects: :class:`bool` or ``None``
:param include_mark_for_delete_objects: Include objects that are marked for deletion in results (optional,
default to false)
:type included_fields: :class:`str` or ``None``
:param included_fields: Comma separated list of fields that should be included in query
result (optional)
:type page_size: :class:`long` or ``None``
:param page_size: Maximum number of results to return in this page (server may return
fewer) (optional, default to 1000)
:type sort_ascending: :class:`bool` or ``None``
:param sort_ascending: (optional)
:type sort_by: :class:`str` or ``None``
:param sort_by: Field by which records are sorted (optional)
:rtype: :class:`com.vmware.nsx_policy.model_client.ServiceListResult`
:return: com.vmware.nsx_policy.model.ServiceListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'cursor': cursor,
'default_service': default_service,
'include_mark_for_delete_objects': include_mark_for_delete_objects,
'included_fields': included_fields,
'page_size': page_size,
'sort_ascending': sort_ascending,
'sort_by': sort_by,
})
def patch(self,
service_id,
service,
):
"""
Create a new service if a service with the given ID does not already
exist. Creates new service entries if populated in the service. If a
service with the given ID already exists, patch the service including
the nested service entries.
:type service_id: :class:`str`
:param service_id: Service ID (required)
:type service: :class:`com.vmware.nsx_policy.model_client.Service`
:param service: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('patch',
{
'service_id': service_id,
'service': service,
})
def update(self,
service_id,
service,
):
"""
Create a new service if a service with the given ID does not already
exist. Creates new service entries if populated in the service. If a
service with the given ID already exists, update the service including
the nested service entries. This is a full replace.
:type service_id: :class:`str`
:param service_id: Service ID (required)
:type service: :class:`com.vmware.nsx_policy.model_client.Service`
:param service: (required)
:rtype: :class:`com.vmware.nsx_policy.model_client.Service`
:return: com.vmware.nsx_policy.model.Service
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'service_id': service_id,
'service': service,
})
class _DhcpRelayConfigsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'dhcp_relay_config_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/dhcp-relay-configs/{dhcp-relay-config-id}',
path_variables={
'dhcp_relay_config_id': 'dhcp-relay-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'dhcp_relay_config_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dhcp-relay-configs/{dhcp-relay-config-id}',
path_variables={
'dhcp_relay_config_id': 'dhcp-relay-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dhcp-relay-configs',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'dhcp_relay_config_id': type.StringType(),
'dhcp_relay_config': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpRelayConfig'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/dhcp-relay-configs/{dhcp-relay-config-id}',
request_body_parameter='dhcp_relay_config',
path_variables={
'dhcp_relay_config_id': 'dhcp-relay-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'dhcp_relay_config_id': type.StringType(),
'dhcp_relay_config': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpRelayConfig'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/dhcp-relay-configs/{dhcp-relay-config-id}',
request_body_parameter='dhcp_relay_config',
path_variables={
'dhcp_relay_config_id': 'dhcp-relay-config-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpRelayConfig'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpRelayConfigListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpRelayConfig'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.dhcp_relay_configs',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _DhcpServerConfigsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'dhcp_server_config_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/dhcp-server-configs/{dhcp-server-config-id}',
path_variables={
'dhcp_server_config_id': 'dhcp-server-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'dhcp_server_config_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dhcp-server-configs/{dhcp-server-config-id}',
path_variables={
'dhcp_server_config_id': 'dhcp-server-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dhcp-server-configs',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'dhcp_server_config_id': type.StringType(),
'dhcp_server_config': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpServerConfig'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/dhcp-server-configs/{dhcp-server-config-id}',
request_body_parameter='dhcp_server_config',
path_variables={
'dhcp_server_config_id': 'dhcp-server-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'dhcp_server_config_id': type.StringType(),
'dhcp_server_config': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpServerConfig'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/dhcp-server-configs/{dhcp-server-config-id}',
request_body_parameter='dhcp_server_config',
path_variables={
'dhcp_server_config_id': 'dhcp-server-config-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpServerConfig'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpServerConfigListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DhcpServerConfig'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.dhcp_server_configs',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _DnsForwarderZonesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'dns_forwarder_zone_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/dns-forwarder-zones/{dns-forwarder-zone-id}',
path_variables={
'dns_forwarder_zone_id': 'dns-forwarder-zone-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'dns_forwarder_zone_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dns-forwarder-zones/{dns-forwarder-zone-id}',
path_variables={
'dns_forwarder_zone_id': 'dns-forwarder-zone-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/dns-forwarder-zones',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'dns_forwarder_zone_id': type.StringType(),
'policy_dns_forwarder_zone': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDnsForwarderZone'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/dns-forwarder-zones/{dns-forwarder-zone-id}',
request_body_parameter='policy_dns_forwarder_zone',
path_variables={
'dns_forwarder_zone_id': 'dns-forwarder-zone-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'dns_forwarder_zone_id': type.StringType(),
'policy_dns_forwarder_zone': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDnsForwarderZone'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/dns-forwarder-zones/{dns-forwarder-zone-id}',
request_body_parameter='policy_dns_forwarder_zone',
path_variables={
'dns_forwarder_zone_id': 'dns-forwarder-zone-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDnsForwarderZone'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDnsForwarderZoneListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDnsForwarderZone'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.dns_forwarder_zones',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _DomainsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for get operation
get_input_type = type.StructType('operation-input', {
'domain_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/domains/{domain-id}',
path_variables={
'domain_id': 'domain-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/domains',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
operations = {
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Domain'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'DomainListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'get': get_rest_metadata,
'list': list_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.domains',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _DraftsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for abort operation
abort_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
})
abort_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
abort_input_value_validator_list = [
]
abort_output_validator_list = [
]
abort_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/policy/api/v1/infra/drafts/{draft-id}?action=abort',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/drafts/{draft-id}',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/drafts/{draft-id}',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'auto_drafts': type.OptionalType(type.BooleanType()),
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/drafts',
path_variables={
},
query_parameters={
'auto_drafts': 'auto_drafts',
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
'policy_draft': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDraft'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/drafts/{draft-id}',
request_body_parameter='policy_draft',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for publish operation
publish_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
'infra': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Infra'),
})
publish_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
publish_input_value_validator_list = [
HasFieldsOfValidator()
]
publish_output_validator_list = [
]
publish_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/policy/api/v1/infra/drafts/{draft-id}?action=publish',
request_body_parameter='infra',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'draft_id': type.StringType(),
'policy_draft': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDraft'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/drafts/{draft-id}',
request_body_parameter='policy_draft',
path_variables={
'draft_id': 'draft-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'abort': {
'input_type': abort_input_type,
'output_type': type.VoidType(),
'errors': abort_error_dict,
'input_value_validator_list': abort_input_value_validator_list,
'output_validator_list': abort_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDraft'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDraftListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'publish': {
'input_type': publish_input_type,
'output_type': type.VoidType(),
'errors': publish_error_dict,
'input_value_validator_list': publish_input_value_validator_list,
'output_validator_list': publish_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyDraft'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'abort': abort_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'publish': publish_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.drafts',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _GroupAssociationsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for list operation
list_input_type = type.StructType('operation-input', {
'intent_path': type.StringType(),
'cursor': type.OptionalType(type.StringType()),
'enforcement_point_path': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/group-associations',
path_variables={
},
query_parameters={
'intent_path': 'intent_path',
'cursor': 'cursor',
'enforcement_point_path': 'enforcement_point_path',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
operations = {
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PolicyResourceReferenceForEPListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'list': list_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.group_associations',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpfixCollectorProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ipfix_collector_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipfix-collector-profiles/{ipfix-collector-profile-id}',
path_variables={
'ipfix_collector_profile_id': 'ipfix-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ipfix_collector_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-collector-profiles/{ipfix-collector-profile-id}',
path_variables={
'ipfix_collector_profile_id': 'ipfix-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-collector-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ipfix_collector_profile_id': type.StringType(),
'i_PFIX_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXCollectorProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipfix-collector-profiles/{ipfix-collector-profile-id}',
request_body_parameter='i_PFIX_collector_profile',
path_variables={
'ipfix_collector_profile_id': 'ipfix-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ipfix_collector_profile_id': type.StringType(),
'i_PFIX_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXCollectorProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipfix-collector-profiles/{ipfix-collector-profile-id}',
request_body_parameter='i_PFIX_collector_profile',
path_variables={
'ipfix_collector_profile_id': 'ipfix-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXCollectorProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXCollectorProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXCollectorProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipfix_collector_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpfixDfwCollectorProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ipfix_dfw_collector_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipfix-dfw-collector-profiles/{ipfix-dfw-collector-profile-id}',
path_variables={
'ipfix_dfw_collector_profile_id': 'ipfix-dfw-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ipfix_dfw_collector_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-dfw-collector-profiles/{ipfix-dfw-collector-profile-id}',
path_variables={
'ipfix_dfw_collector_profile_id': 'ipfix-dfw-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-dfw-collector-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ipfix_dfw_collector_profile_id': type.StringType(),
'i_PFIXDFW_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWCollectorProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipfix-dfw-collector-profiles/{ipfix-dfw-collector-profile-id}',
request_body_parameter='i_PFIXDFW_collector_profile',
path_variables={
'ipfix_dfw_collector_profile_id': 'ipfix-dfw-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ipfix_dfw_collector_profile_id': type.StringType(),
'i_PFIXDFW_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWCollectorProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipfix-dfw-collector-profiles/{ipfix-dfw-collector-profile-id}',
request_body_parameter='i_PFIXDFW_collector_profile',
path_variables={
'ipfix_dfw_collector_profile_id': 'ipfix-dfw-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWCollectorProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWCollectorProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWCollectorProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipfix_dfw_collector_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpfixDfwProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ipfix_dfw_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipfix-dfw-profiles/{ipfix-dfw-profile-id}',
path_variables={
'ipfix_dfw_profile_id': 'ipfix-dfw-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ipfix_dfw_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-dfw-profiles/{ipfix-dfw-profile-id}',
path_variables={
'ipfix_dfw_profile_id': 'ipfix-dfw-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-dfw-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ipfix_dfw_profile_id': type.StringType(),
'i_PFIXDFW_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipfix-dfw-profiles/{ipfix-dfw-profile-id}',
request_body_parameter='i_PFIXDFW_profile',
path_variables={
'ipfix_dfw_profile_id': 'ipfix-dfw-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ipfix_dfw_profile_id': type.StringType(),
'i_PFIXDFW_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipfix-dfw-profiles/{ipfix-dfw-profile-id}',
request_body_parameter='i_PFIXDFW_profile',
path_variables={
'ipfix_dfw_profile_id': 'ipfix-dfw-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXDFWProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipfix_dfw_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpfixL2CollectorProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ipfix_l2_collector_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipfix-l2-collector-profiles/{ipfix-l2-collector-profile-id}',
path_variables={
'ipfix_l2_collector_profile_id': 'ipfix-l2-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ipfix_l2_collector_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-l2-collector-profiles/{ipfix-l2-collector-profile-id}',
path_variables={
'ipfix_l2_collector_profile_id': 'ipfix-l2-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-l2-collector-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ipfix_l2_collector_profile_id': type.StringType(),
'i_PFIX_l2_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2CollectorProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipfix-l2-collector-profiles/{ipfix-l2-collector-profile-id}',
request_body_parameter='i_PFIX_l2_collector_profile',
path_variables={
'ipfix_l2_collector_profile_id': 'ipfix-l2-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ipfix_l2_collector_profile_id': type.StringType(),
'i_PFIX_l2_collector_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2CollectorProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipfix-l2-collector-profiles/{ipfix-l2-collector-profile-id}',
request_body_parameter='i_PFIX_l2_collector_profile',
path_variables={
'ipfix_l2_collector_profile_id': 'ipfix-l2-collector-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2CollectorProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2CollectorProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2CollectorProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipfix_l2_collector_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpfixL2ProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ipfix_l2_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipfix-l2-profiles/{ipfix-l2-profile-id}',
path_variables={
'ipfix_l2_profile_id': 'ipfix-l2-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ipfix_l2_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-l2-profiles/{ipfix-l2-profile-id}',
path_variables={
'ipfix_l2_profile_id': 'ipfix-l2-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipfix-l2-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ipfix_l2_profile_id': type.StringType(),
'i_PFIX_l2_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2Profile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipfix-l2-profiles/{ipfix-l2-profile-id}',
request_body_parameter='i_PFIX_l2_profile',
path_variables={
'ipfix_l2_profile_id': 'ipfix-l2-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ipfix_l2_profile_id': type.StringType(),
'i_PFIX_l2_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2Profile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipfix-l2-profiles/{ipfix-l2-profile-id}',
request_body_parameter='i_PFIX_l2_profile',
path_variables={
'ipfix_l2_profile_id': 'ipfix-l2-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2Profile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2ProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPFIXL2Profile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipfix_l2_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpsecVpnDpdProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'dpd_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipsec-vpn-dpd-profiles/{dpd-profile-id}',
path_variables={
'dpd_profile_id': 'dpd-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'dpd_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-dpd-profiles/{dpd-profile-id}',
path_variables={
'dpd_profile_id': 'dpd-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-dpd-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'dpd_profile_id': type.StringType(),
'ip_sec_vpn_dpd_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnDpdProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipsec-vpn-dpd-profiles/{dpd-profile-id}',
request_body_parameter='ip_sec_vpn_dpd_profile',
path_variables={
'dpd_profile_id': 'dpd-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'dpd_profile_id': type.StringType(),
'ip_sec_vpn_dpd_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnDpdProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipsec-vpn-dpd-profiles/{dpd-profile-id}',
request_body_parameter='ip_sec_vpn_dpd_profile',
path_variables={
'dpd_profile_id': 'dpd-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnDpdProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnDpdProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnDpdProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipsec_vpn_dpd_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpsecVpnIkeProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'ike_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipsec-vpn-ike-profiles/{ike-profile-id}',
path_variables={
'ike_profile_id': 'ike-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'ike_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-ike-profiles/{ike-profile-id}',
path_variables={
'ike_profile_id': 'ike-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-ike-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'ike_profile_id': type.StringType(),
'ip_sec_vpn_ike_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnIkeProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipsec-vpn-ike-profiles/{ike-profile-id}',
request_body_parameter='ip_sec_vpn_ike_profile',
path_variables={
'ike_profile_id': 'ike-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'ike_profile_id': type.StringType(),
'ip_sec_vpn_ike_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnIkeProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipsec-vpn-ike-profiles/{ike-profile-id}',
request_body_parameter='ip_sec_vpn_ike_profile',
path_variables={
'ike_profile_id': 'ike-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnIkeProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnIkeProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnIkeProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipsec_vpn_ike_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _IpsecVpnTunnelProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'tunnel_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/ipsec-vpn-tunnel-profiles/{tunnel-profile-id}',
path_variables={
'tunnel_profile_id': 'tunnel-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'tunnel_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-tunnel-profiles/{tunnel-profile-id}',
path_variables={
'tunnel_profile_id': 'tunnel-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/ipsec-vpn-tunnel-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'tunnel_profile_id': type.StringType(),
'ip_sec_vpn_tunnel_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnTunnelProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/ipsec-vpn-tunnel-profiles/{tunnel-profile-id}',
request_body_parameter='ip_sec_vpn_tunnel_profile',
path_variables={
'tunnel_profile_id': 'tunnel-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'tunnel_profile_id': type.StringType(),
'ip_sec_vpn_tunnel_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnTunnelProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/ipsec-vpn-tunnel-profiles/{tunnel-profile-id}',
request_body_parameter='ip_sec_vpn_tunnel_profile',
path_variables={
'tunnel_profile_id': 'tunnel-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnTunnelProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnTunnelProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'IPSecVpnTunnelProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.ipsec_vpn_tunnel_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _PartnerServicesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_name': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/partner-services/{service-name}',
path_variables={
'service_name': 'service-name',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/partner-services',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
operations = {
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'ServiceDefinition'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'ServiceInsertionServiceListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'get': get_rest_metadata,
'list': list_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.partner_services',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _PortMirroringProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'port_mirroring_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/port-mirroring-profiles/{port-mirroring-profile-id}',
path_variables={
'port_mirroring_profile_id': 'port-mirroring-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'port_mirroring_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/port-mirroring-profiles/{port-mirroring-profile-id}',
path_variables={
'port_mirroring_profile_id': 'port-mirroring-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/port-mirroring-profiles',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'port_mirroring_profile_id': type.StringType(),
'port_mirroring_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PortMirroringProfile'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/port-mirroring-profiles/{port-mirroring-profile-id}',
request_body_parameter='port_mirroring_profile',
path_variables={
'port_mirroring_profile_id': 'port-mirroring-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'port_mirroring_profile_id': type.StringType(),
'port_mirroring_profile': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PortMirroringProfile'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/port-mirroring-profiles/{port-mirroring-profile-id}',
request_body_parameter='port_mirroring_profile',
path_variables={
'port_mirroring_profile_id': 'port-mirroring-profile-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PortMirroringProfile'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PortMirroringProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'PortMirroringProfile'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.port_mirroring_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _SegmentsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'segment_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/segments/{segment-id}',
path_variables={
'segment_id': 'segment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete_0 operation
delete_0_input_type = type.StructType('operation-input', {
'segment_id': type.StringType(),
})
delete_0_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_0_input_value_validator_list = [
]
delete_0_output_validator_list = [
]
delete_0_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/segments/{segment-id}?force=true',
path_variables={
'segment_id': 'segment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'segment_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/segments/{segment-id}',
path_variables={
'segment_id': 'segment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/segments',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'segment_id': type.StringType(),
'segment': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Segment'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/segments/{segment-id}',
request_body_parameter='segment',
path_variables={
'segment_id': 'segment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'segment_id': type.StringType(),
'segment': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Segment'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/segments/{segment-id}',
request_body_parameter='segment',
path_variables={
'segment_id': 'segment-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'delete_0': {
'input_type': delete_0_input_type,
'output_type': type.VoidType(),
'errors': delete_0_error_dict,
'input_value_validator_list': delete_0_input_value_validator_list,
'output_validator_list': delete_0_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Segment'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'SegmentListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Segment'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'delete_0': delete_0_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.segments',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _ServicesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/policy/api/v1/infra/services/{service-id}',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/services/{service-id}',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'cursor': type.OptionalType(type.StringType()),
'default_service': type.OptionalType(type.BooleanType()),
'include_mark_for_delete_objects': type.OptionalType(type.BooleanType()),
'included_fields': type.OptionalType(type.StringType()),
'page_size': type.OptionalType(type.IntegerType()),
'sort_ascending': type.OptionalType(type.BooleanType()),
'sort_by': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/policy/api/v1/infra/services',
path_variables={
},
query_parameters={
'cursor': 'cursor',
'default_service': 'default_service',
'include_mark_for_delete_objects': 'include_mark_for_delete_objects',
'included_fields': 'included_fields',
'page_size': 'page_size',
'sort_ascending': 'sort_ascending',
'sort_by': 'sort_by',
},
content_type='application/json'
)
# properties for patch operation
patch_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Service'),
})
patch_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
patch_input_value_validator_list = [
HasFieldsOfValidator()
]
patch_output_validator_list = [
]
patch_rest_metadata = OperationRestMetadata(
http_method='PATCH',
url_template='/policy/api/v1/infra/services/{service-id}',
request_body_parameter='service',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Service'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/policy/api/v1/infra/services/{service-id}',
request_body_parameter='service',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Service'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'ServiceListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'patch': {
'input_type': patch_input_type,
'output_type': type.VoidType(),
'errors': patch_error_dict,
'input_value_validator_list': patch_input_value_validator_list,
'output_validator_list': patch_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx_policy.model_client', 'Service'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'patch': patch_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx_policy.infra.services',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class StubFactory(StubFactoryBase):
_attrs = {
'DhcpRelayConfigs': DhcpRelayConfigs,
'DhcpServerConfigs': DhcpServerConfigs,
'DnsForwarderZones': DnsForwarderZones,
'Domains': Domains,
'Drafts': Drafts,
'GroupAssociations': GroupAssociations,
'IpfixCollectorProfiles': IpfixCollectorProfiles,
'IpfixDfwCollectorProfiles': IpfixDfwCollectorProfiles,
'IpfixDfwProfiles': IpfixDfwProfiles,
'IpfixL2CollectorProfiles': IpfixL2CollectorProfiles,
'IpfixL2Profiles': IpfixL2Profiles,
'IpsecVpnDpdProfiles': IpsecVpnDpdProfiles,
'IpsecVpnIkeProfiles': IpsecVpnIkeProfiles,
'IpsecVpnTunnelProfiles': IpsecVpnTunnelProfiles,
'PartnerServices': PartnerServices,
'PortMirroringProfiles': PortMirroringProfiles,
'Segments': Segments,
'Services': Services,
'domains': 'com.vmware.nsx_policy.infra.domains_client.StubFactory',
'drafts': 'com.vmware.nsx_policy.infra.drafts_client.StubFactory',
'realized_state': 'com.vmware.nsx_policy.infra.realized_state_client.StubFactory',
'segments': 'com.vmware.nsx_policy.infra.segments_client.StubFactory',
'services': 'com.vmware.nsx_policy.infra.services_client.StubFactory',
'sites': 'com.vmware.nsx_policy.infra.sites_client.StubFactory',
'tier_0s': 'com.vmware.nsx_policy.infra.tier_0s_client.StubFactory',
'tier_1s': 'com.vmware.nsx_policy.infra.tier_1s_client.StubFactory',
}
| 45.562288
| 130
| 0.601575
| 32,295
| 321,852
| 5.733117
| 0.014151
| 0.073011
| 0.087415
| 0.107588
| 0.96814
| 0.963705
| 0.955102
| 0.943101
| 0.940319
| 0.933028
| 0
| 0.001586
| 0.294828
| 321,852
| 7,063
| 131
| 45.568739
| 0.814197
| 0.267443
| 0
| 0.795804
| 1
| 0.010383
| 0.327814
| 0.234048
| 0
| 0
| 0
| 0
| 0
| 1
| 0.025741
| false
| 0.000865
| 0.002596
| 0
| 0.058404
| 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
|
20284f7ccb8e7ddc4ae489c9bbfb51511e9d6891
| 100
|
py
|
Python
|
setup.py
|
jsa41394/Deep-Belief-Network
|
1220967325b3e1a66e6960ffe4d2cd463ea6c26c
|
[
"MIT"
] | 2
|
2022-02-19T15:42:49.000Z
|
2022-02-19T15:43:31.000Z
|
setup.py
|
jsa41394/Deep-Belief-Network
|
1220967325b3e1a66e6960ffe4d2cd463ea6c26c
|
[
"MIT"
] | null | null | null |
setup.py
|
jsa41394/Deep-Belief-Network
|
1220967325b3e1a66e6960ffe4d2cd463ea6c26c
|
[
"MIT"
] | null | null | null |
import os
os.system('pip install tensorflow-gpu==10.0.1')
os.system('pip install scipy sklearn')
| 14.285714
| 47
| 0.73
| 17
| 100
| 4.294118
| 0.705882
| 0.219178
| 0.30137
| 0.493151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 0.12
| 100
| 6
| 48
| 16.666667
| 0.784091
| 0
| 0
| 0
| 0
| 0
| 0.602041
| 0.22449
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 8
|
6470d3d59a948f02ecf072584271a8f4fd56e089
| 61,537
|
py
|
Python
|
gateapi-python/gate_api/api/wallet_api.py
|
jarenmt/IEOPUMP
|
220f7f612d299f7305e82fe6c33661e6871f2d86
|
[
"MIT"
] | null | null | null |
gateapi-python/gate_api/api/wallet_api.py
|
jarenmt/IEOPUMP
|
220f7f612d299f7305e82fe6c33661e6871f2d86
|
[
"MIT"
] | null | null | null |
gateapi-python/gate_api/api/wallet_api.py
|
jarenmt/IEOPUMP
|
220f7f612d299f7305e82fe6c33661e6871f2d86
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Gate API v4
Welcome to Gate.io API APIv4 provides spot, margin and futures trading operations. There are public APIs to retrieve the real-time market statistics, and private APIs which needs authentication to trade on user's behalf. # noqa: E501
Contact: support@mail.gate.io
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 gate_api.api_client import ApiClient
from gate_api.exceptions import ApiTypeError, ApiValueError # noqa: F401
class WalletApi(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 list_currency_chains(self, currency, **kwargs): # noqa: E501
"""List chains supported for specified currency # 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_currency_chains(currency, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency name (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.
:rtype: list[gate_api.CurrencyChain]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_currency_chains_with_http_info(currency, **kwargs) # noqa: E501
def list_currency_chains_with_http_info(self, currency, **kwargs): # noqa: E501
"""List chains supported for specified currency # 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_currency_chains_with_http_info(currency, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency name (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.
:rtype: tuple(list[gate_api.CurrencyChain], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method list_currency_chains" % k)
local_var_params[k] = v
del local_var_params['kwargs']
# verify the required parameter 'currency' is set
if self.api_client.client_side_validation and (
'currency' not in local_var_params or local_var_params['currency'] is None # noqa: E501
): # noqa: E501
raise ApiValueError(
"Missing the required parameter `currency` when calling `list_currency_chains`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # 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 = [] # noqa: E501
return self.api_client.call_api(
'/wallet/currency_chains',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[CurrencyChain]', # 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_deposit_address(self, currency, **kwargs): # noqa: E501
"""Generate currency deposit address # 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_deposit_address(currency, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency name (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.
:rtype: gate_api.DepositAddress
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_deposit_address_with_http_info(currency, **kwargs) # noqa: E501
def get_deposit_address_with_http_info(self, currency, **kwargs): # noqa: E501
"""Generate currency deposit address # 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_deposit_address_with_http_info(currency, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency name (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.
:rtype: tuple(gate_api.DepositAddress, status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method get_deposit_address" % k)
local_var_params[k] = v
del local_var_params['kwargs']
# verify the required parameter 'currency' is set
if self.api_client.client_side_validation and (
'currency' not in local_var_params or local_var_params['currency'] is None # noqa: E501
): # noqa: E501
raise ApiValueError(
"Missing the required parameter `currency` when calling `get_deposit_address`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/deposit_address',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DepositAddress', # 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_withdrawals(self, **kwargs): # noqa: E501
"""Retrieve withdrawal records # noqa: E501
Record time range cannot exceed 30 days # 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_withdrawals(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Filter by currency. Return all currency records if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: list[gate_api.LedgerRecord]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_withdrawals_with_http_info(**kwargs) # noqa: E501
def list_withdrawals_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve withdrawal records # noqa: E501
Record time range cannot exceed 30 days # 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_withdrawals_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Filter by currency. Return all currency records if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: tuple(list[gate_api.LedgerRecord], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency', '_from', 'to', 'limit', 'offset']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method list_withdrawals" % k)
local_var_params[k] = v
del local_var_params['kwargs']
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] > 1000
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_withdrawals`, must be a value less than or equal to `1000`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] < 1
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_withdrawals`, must be a value greater than or equal to `1`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'offset' in local_var_params and local_var_params['offset'] < 0
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `offset` when calling `list_withdrawals`, must be a value greater than or equal to `0`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # noqa: E501
if '_from' in local_var_params and local_var_params['_from'] is not None: # noqa: E501
query_params.append(('from', local_var_params['_from'])) # noqa: E501
if 'to' in local_var_params and local_var_params['to'] is not None: # noqa: E501
query_params.append(('to', local_var_params['to'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/withdrawals',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[LedgerRecord]', # 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_deposits(self, **kwargs): # noqa: E501
"""Retrieve deposit records # noqa: E501
Record time range cannot exceed 30 days # 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_deposits(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Filter by currency. Return all currency records if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: list[gate_api.LedgerRecord]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_deposits_with_http_info(**kwargs) # noqa: E501
def list_deposits_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve deposit records # noqa: E501
Record time range cannot exceed 30 days # 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_deposits_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Filter by currency. Return all currency records if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: tuple(list[gate_api.LedgerRecord], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency', '_from', 'to', 'limit', 'offset']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method list_deposits" % k)
local_var_params[k] = v
del local_var_params['kwargs']
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] > 1000
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_deposits`, must be a value less than or equal to `1000`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] < 1
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_deposits`, must be a value greater than or equal to `1`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'offset' in local_var_params and local_var_params['offset'] < 0
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `offset` when calling `list_deposits`, must be a value greater than or equal to `0`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # noqa: E501
if '_from' in local_var_params and local_var_params['_from'] is not None: # noqa: E501
query_params.append(('from', local_var_params['_from'])) # noqa: E501
if 'to' in local_var_params and local_var_params['to'] is not None: # noqa: E501
query_params.append(('to', local_var_params['to'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/deposits',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[LedgerRecord]', # 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 transfer(self, transfer, **kwargs): # noqa: E501
"""Transfer between trading accounts # noqa: E501
Transfer between different accounts. Currently support transfers between the following: 1. spot - margin 2. spot - futures(perpetual) 3. spot - delivery 4. spot - cross margin 5. spot - options # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.transfer(transfer, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param Transfer transfer: (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.
:rtype: None
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.transfer_with_http_info(transfer, **kwargs) # noqa: E501
def transfer_with_http_info(self, transfer, **kwargs): # noqa: E501
"""Transfer between trading accounts # noqa: E501
Transfer between different accounts. Currently support transfers between the following: 1. spot - margin 2. spot - futures(perpetual) 3. spot - delivery 4. spot - cross margin 5. spot - options # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.transfer_with_http_info(transfer, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param Transfer transfer: (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.
:rtype: None
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['transfer']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method transfer" % k)
local_var_params[k] = v
del local_var_params['kwargs']
# verify the required parameter 'transfer' is set
if self.api_client.client_side_validation and (
'transfer' not in local_var_params or local_var_params['transfer'] is None # noqa: E501
): # noqa: E501
raise ApiValueError("Missing the required parameter `transfer` when calling `transfer`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'transfer' in local_var_params:
body_params = local_var_params['transfer']
# 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/transfers',
'POST',
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 list_sub_account_transfers(self, **kwargs): # noqa: E501
"""Retrieve transfer records between main and sub accounts # noqa: E501
Record time range cannot exceed 30 days > Note: only records after 2020-04-10 can be retrieved # 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_sub_account_transfers(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str sub_uid: Sub account user ID. Return records related to all sub accounts if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: list[gate_api.SubAccountTransfer]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_sub_account_transfers_with_http_info(**kwargs) # noqa: E501
def list_sub_account_transfers_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve transfer records between main and sub accounts # noqa: E501
Record time range cannot exceed 30 days > Note: only records after 2020-04-10 can be retrieved # 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_sub_account_transfers_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str sub_uid: Sub account user ID. Return records related to all sub accounts if not specified
:param int _from: Time range beginning, default to 7 days before current time
:param int to: Time range ending, default to current time
:param int limit: Maximum number of records to be returned in a single list
:param int offset: List offset, starting from 0
: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.
:rtype: tuple(list[gate_api.SubAccountTransfer], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['sub_uid', '_from', 'to', 'limit', 'offset']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'" " to method list_sub_account_transfers" % k
)
local_var_params[k] = v
del local_var_params['kwargs']
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] > 1000
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_sub_account_transfers`, must be a value less than or equal to `1000`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'limit' in local_var_params and local_var_params['limit'] < 1
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `limit` when calling `list_sub_account_transfers`, must be a value greater than or equal to `1`"
) # noqa: E501
if (
self.api_client.client_side_validation and 'offset' in local_var_params and local_var_params['offset'] < 0
): # noqa: E501
raise ApiValueError(
"Invalid value for parameter `offset` when calling `list_sub_account_transfers`, must be a value greater than or equal to `0`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'sub_uid' in local_var_params and local_var_params['sub_uid'] is not None: # noqa: E501
query_params.append(('sub_uid', local_var_params['sub_uid'])) # noqa: E501
if '_from' in local_var_params and local_var_params['_from'] is not None: # noqa: E501
query_params.append(('from', local_var_params['_from'])) # noqa: E501
if 'to' in local_var_params and local_var_params['to'] is not None: # noqa: E501
query_params.append(('to', local_var_params['to'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/sub_account_transfers',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[SubAccountTransfer]', # 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 transfer_with_sub_account(self, sub_account_transfer, **kwargs): # noqa: E501
"""Transfer between main and sub accounts # noqa: E501
Support transferring with sub user's spot or futures account. Note that only main user's spot account is used no matter which sub user's account is operated. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.transfer_with_sub_account(sub_account_transfer, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param SubAccountTransfer sub_account_transfer: (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.
:rtype: None
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.transfer_with_sub_account_with_http_info(sub_account_transfer, **kwargs) # noqa: E501
def transfer_with_sub_account_with_http_info(self, sub_account_transfer, **kwargs): # noqa: E501
"""Transfer between main and sub accounts # noqa: E501
Support transferring with sub user's spot or futures account. Note that only main user's spot account is used no matter which sub user's account is operated. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.transfer_with_sub_account_with_http_info(sub_account_transfer, async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param SubAccountTransfer sub_account_transfer: (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.
:rtype: None
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['sub_account_transfer']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method transfer_with_sub_account" % k)
local_var_params[k] = v
del local_var_params['kwargs']
# verify the required parameter 'sub_account_transfer' is set
if self.api_client.client_side_validation and (
'sub_account_transfer' not in local_var_params
or local_var_params['sub_account_transfer'] is None # noqa: E501
): # noqa: E501
raise ApiValueError(
"Missing the required parameter `sub_account_transfer` when calling `transfer_with_sub_account`"
) # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'sub_account_transfer' in local_var_params:
body_params = local_var_params['sub_account_transfer']
# 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/sub_account_transfers',
'POST',
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 list_withdraw_status(self, **kwargs): # noqa: E501
"""Retrieve withdrawal status # 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_withdraw_status(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Retrieve data of the specified currency
: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.
:rtype: list[gate_api.WithdrawStatus]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_withdraw_status_with_http_info(**kwargs) # noqa: E501
def list_withdraw_status_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve withdrawal status # 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_withdraw_status_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Retrieve data of the specified currency
: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.
:rtype: tuple(list[gate_api.WithdrawStatus], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method list_withdraw_status" % k)
local_var_params[k] = v
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/withdraw_status',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[WithdrawStatus]', # 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_sub_account_balances(self, **kwargs): # noqa: E501
"""Retrieve sub account balances # 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_sub_account_balances(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str sub_uid: Sub account user ID. Return records related to all sub accounts if not specified
: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.
:rtype: list[gate_api.SubAccountBalance]
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_sub_account_balances_with_http_info(**kwargs) # noqa: E501
def list_sub_account_balances_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve sub account balances # 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_sub_account_balances_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str sub_uid: Sub account user ID. Return records related to all sub accounts if not specified
: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.
:rtype: tuple(list[gate_api.SubAccountBalance], status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['sub_uid']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method list_sub_account_balances" % k)
local_var_params[k] = v
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'sub_uid' in local_var_params and local_var_params['sub_uid'] is not None: # noqa: E501
query_params.append(('sub_uid', local_var_params['sub_uid'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/sub_account_balances',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[SubAccountBalance]', # 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_trade_fee(self, **kwargs): # noqa: E501
"""Retrieve personal trading fee # 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_trade_fee(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency_pair: Specify a currency pair to retrieve precise fee rate This field is optional. In most cases, the fee rate is identical among all currency pairs
: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.
:rtype: gate_api.TradeFee
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_trade_fee_with_http_info(**kwargs) # noqa: E501
def get_trade_fee_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve personal trading fee # 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_trade_fee_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency_pair: Specify a currency pair to retrieve precise fee rate This field is optional. In most cases, the fee rate is identical among all currency pairs
: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.
:rtype: tuple(gate_api.TradeFee, status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency_pair']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method get_trade_fee" % k)
local_var_params[k] = v
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'currency_pair' in local_var_params and local_var_params['currency_pair'] is not None: # noqa: E501
query_params.append(('currency_pair', local_var_params['currency_pair'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/fee',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TradeFee', # 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_total_balance(self, **kwargs): # noqa: E501
"""Retrieve user's total balances # noqa: E501
This endpoint returns an approximate sum of exchanged amount from all currencies to input currency for each account.The exchange rate and account balance could have been cached for at most 1 minute. It is not recommended to use its result for any trading calculation. For trading calculation, use the corresponding account query endpoint for each account type. For example: - `GET /spot/accounts` to query spot account balance - `GET /margin/accounts` to query margin account balance - `GET /futures/{settle}/accounts` to query futures account balance # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_total_balance(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency unit used to calculate the balance amount. BTC, CNY, USD and USDT are allowed. USDT is the default.
: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.
:rtype: gate_api.TotalBalance
:return: If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_total_balance_with_http_info(**kwargs) # noqa: E501
def get_total_balance_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve user's total balances # noqa: E501
This endpoint returns an approximate sum of exchanged amount from all currencies to input currency for each account.The exchange rate and account balance could have been cached for at most 1 minute. It is not recommended to use its result for any trading calculation. For trading calculation, use the corresponding account query endpoint for each account type. For example: - `GET /spot/accounts` to query spot account balance - `GET /margin/accounts` to query margin account balance - `GET /futures/{settle}/accounts` to query futures account balance # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_total_balance_with_http_info(async_req=True)
>>> result = thread.get()
:param bool async_req: execute request asynchronously
:param str currency: Currency unit used to calculate the balance amount. BTC, CNY, USD and USDT are allowed. USDT is the default.
: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.
:rtype: tuple(gate_api.TotalBalance, status_code(int), headers(HTTPHeaderDict))
:return: If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['currency']
all_params.extend(['async_req', '_return_http_data_only', '_preload_content', '_request_timeout'])
for k, v in six.iteritems(local_var_params['kwargs']):
if k not in all_params:
raise ApiTypeError("Got an unexpected keyword argument '%s'" " to method get_total_balance" % k)
local_var_params[k] = v
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'currency' in local_var_params and local_var_params['currency'] is not None: # noqa: E501
query_params.append(('currency', local_var_params['currency'])) # 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 = ['apiv4'] # noqa: E501
return self.api_client.call_api(
'/wallet/total_balance',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TotalBalance', # 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,
)
| 49.269015
| 576
| 0.621464
| 7,267
| 61,537
| 5.0322
| 0.043347
| 0.044409
| 0.069294
| 0.027072
| 0.962564
| 0.959419
| 0.95529
| 0.951188
| 0.94241
| 0.93839
| 0
| 0.016085
| 0.303898
| 61,537
| 1,248
| 577
| 49.308494
| 0.837613
| 0.482165
| 0
| 0.775583
| 0
| 0.016158
| 0.196357
| 0.042914
| 0
| 0
| 0
| 0
| 0
| 1
| 0.041293
| false
| 0
| 0.008977
| 0
| 0.091562
| 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
|
648474775239a9b8eec8f4e98842862da4a7383c
| 2,943
|
py
|
Python
|
Awesome-Scripts/bigtext.py
|
greengangsta/Lecture-Series-Python
|
9d7885f1d70176a3496f0bf46b1108805a3fc3e8
|
[
"MIT"
] | 25
|
2017-11-08T16:34:24.000Z
|
2022-03-01T21:57:07.000Z
|
Awesome-Scripts/bigtext.py
|
ssrisunt/Lecture-Series-Python
|
9d7885f1d70176a3496f0bf46b1108805a3fc3e8
|
[
"MIT"
] | 1
|
2018-10-28T19:40:02.000Z
|
2018-10-28T19:40:02.000Z
|
Awesome-Scripts/bigtext.py
|
ssrisunt/Lecture-Series-Python
|
9d7885f1d70176a3496f0bf46b1108805a3fc3e8
|
[
"MIT"
] | 15
|
2017-11-24T13:21:03.000Z
|
2022-03-01T21:57:08.000Z
|
chars = []
chars.append("""
###
## ##
## ##
## ##
#########
## ##
## ##
""")
chars.append("""
########
## ##
## ##
########
## ##
## ##
########
""")
chars.append("""
######
## ##
##
##
##
## ##
######
""")
chars.append("""
########
## ##
## ##
## ##
## ##
## ##
########
""")
chars.append("""
########
##
##
######
##
##
########
""")
chars.append("""
########
##
##
######
##
##
##
""")
chars.append("""
######
## ##
##
## ####
## ##
## ##
######
""")
chars.append("""
## ##
## ##
## ##
#########
## ##
## ##
## ##
""")
chars.append("""
####
##
##
##
##
##
####
""")
chars.append("""
##
##
##
##
## ##
## ##
######
""")
chars.append("""
## ##
## ##
## ##
#####
## ##
## ##
## ##
""")
chars.append("""
##
##
##
##
##
##
########
""")
chars.append("""
## ##
### ###
#### ####
## ### ##
## ##
## ##
## ##
""")
chars.append("""
## ##
### ##
#### ##
## ## ##
## ####
## ###
## ##
""")
chars.append("""
#######
## ##
## ##
## ##
## ##
## ##
#######
""")
chars.append("""
########
## ##
## ##
########
##
##
##
""")
chars.append("""
#######
## ##
## ##
## ##
## ## ##
## ##
##### ##
""")
chars.append("""
########
## ##
## ##
########
## ##
## ##
## ##
""")
chars.append("""
######
## ##
##
######
##
## ##
######
""")
chars.append("""
########
##
##
##
##
##
##
""")
chars.append("""
## ##
## ##
## ##
## ##
## ##
## ##
#######
""")
chars.append("""
## ##
## ##
## ##
## ##
## ##
## ##
###
""")
chars.append("""
## ##
## ## ##
## ## ##
## ## ##
## ## ##
## ## ##
### ###
""")
chars.append("""
## ##
## ##
## ##
###
## ##
## ##
## ##
""")
chars.append("""
## ##
## ##
####
##
##
##
##
""")
chars.append("""
########
##
##
##
##
##
########
""")
import sys
if len(sys.argv) < 2:
print "Give an alphabetical argument!"
quit()
for i in sys.argv[1]:
print chars[ord(i)-97]
| 8.945289
| 39
| 0.12844
| 77
| 2,943
| 4.909091
| 0.25974
| 0.756614
| 1.058201
| 1.455026
| 0.756614
| 0.756614
| 0.756614
| 0.756614
| 0.756614
| 0.756614
| 0
| 0.002845
| 0.522256
| 2,943
| 329
| 40
| 8.945289
| 0.266003
| 0
| 0
| 0.970954
| 0
| 0
| 0.765625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.004149
| null | null | 0.008299
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 13
|
b3a1c4dd1506f0cda39a8ca1ecd40fef140bb3cc
| 4,829
|
py
|
Python
|
tests/server_tests/api_tests/private_replay_edit_test.py
|
dbauducco/DistributedReplays
|
07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291
|
[
"Apache-2.0"
] | 69
|
2018-07-17T19:40:21.000Z
|
2022-02-25T14:23:53.000Z
|
tests/server_tests/api_tests/private_replay_edit_test.py
|
dbauducco/DistributedReplays
|
07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291
|
[
"Apache-2.0"
] | 335
|
2018-07-25T19:34:55.000Z
|
2022-02-26T06:04:32.000Z
|
tests/server_tests/api_tests/private_replay_edit_test.py
|
dbauducco/DistributedReplays
|
07e6f4c2bf104e98102b092d8a1a3ce2ac7ab291
|
[
"Apache-2.0"
] | 42
|
2018-07-21T00:04:23.000Z
|
2022-02-25T14:23:42.000Z
|
import io
from requests import Request
from backend.database.objects import Game, GameVisibilitySetting, GameVisibility
from backend.database.startup import get_current_session
from tests.utils.database_utils import default_player_id
from tests.utils.replay_utils import get_complex_replay_list, download_replay_discord
from tests.utils.location_utils import LOCAL_URL
class Test_edit_private_replay:
replay_status = []
def setup_method(self):
replay_url = get_complex_replay_list()[0]
f = download_replay_discord(replay_url)
self.file = f
self.stream = io.BytesIO(self.file)
def test_replay_edit_private_replay(self, test_client, mock_user):
mock_user.set_user_id('76561198018756583')
mock_user.logout()
game = get_current_session().query(Game).first()
assert game is None
r = Request('POST', LOCAL_URL + '/api/upload',
files={'replays': ('fake_file.replay', self.stream)})
response = test_client.send(r)
assert(response.status_code == 202)
api_url = '/api/replay/70DDECEA4653AC55EA77DBA0DB497995/visibility/' + GameVisibilitySetting.PRIVATE.name
r = Request('PUT', LOCAL_URL + api_url)
mock_user.login()
response = test_client.send(r)
assert(response.status_code == 200)
fake_session = get_current_session()
game = fake_session.query(Game).first()
assert(game.hash == '70DDECEA4653AC55EA77DBA0DB497995')
assert(game.visibility == GameVisibilitySetting.PRIVATE)
game_visiblity = fake_session.query(GameVisibility).first()
assert(game_visiblity.game == game.hash)
assert(game_visiblity.player == '76561198018756583')
assert(game_visiblity.visibility == GameVisibilitySetting.PRIVATE)
def test_replay_edit_private_replay_no_permission(self, test_client, mock_user):
mock_user.logout()
game = get_current_session().query(Game).first()
assert game is None
r = Request('POST', LOCAL_URL + '/api/upload',
files={'replays': ('fake_file.replay', self.stream)})
response = test_client.send(r)
assert(response.status_code == 202)
api_url = '/api/replay/70DDECEA4653AC55EA77DBA0DB497995/visibility/' + GameVisibilitySetting.PRIVATE.name
r = Request('PUT', LOCAL_URL + api_url)
mock_user.login()
response = test_client.send(r)
assert(response.status_code == 404)
fake_session = get_current_session()
game = fake_session.query(Game).first()
assert(game.hash == '70DDECEA4653AC55EA77DBA0DB497995')
assert(game.visibility == GameVisibilitySetting.DEFAULT)
game_visiblity = fake_session.query(GameVisibility).first()
assert(game_visiblity is None)
def test_replay_edit_private_replay_twice(self, test_client, mock_user):
mock_user.logout()
game = get_current_session().query(Game).first()
assert game is None
r = Request('POST', LOCAL_URL + '/api/upload',
files={'replays': ('fake_file.replay', self.stream)})
response = test_client.send(r)
assert(response.status_code == 202)
api_url = '/api/replay/70DDECEA4653AC55EA77DBA0DB497995/visibility/' + GameVisibilitySetting.PRIVATE.name
r = Request('PUT', LOCAL_URL + api_url)
mock_user.set_user_id('76561198018756583')
mock_user.login()
response = test_client.send(r)
assert(response.status_code == 200)
fake_session = get_current_session()
game = fake_session.query(Game).first()
assert(game.hash == '70DDECEA4653AC55EA77DBA0DB497995')
assert(game.visibility == GameVisibilitySetting.PRIVATE)
game_visiblity = fake_session.query(GameVisibility).first()
assert(game_visiblity.game == game.hash)
assert(game_visiblity.player == '76561198018756583')
assert(game_visiblity.visibility == GameVisibilitySetting.PRIVATE)
api_url = '/api/replay/70DDECEA4653AC55EA77DBA0DB497995/visibility/' + GameVisibilitySetting.PUBLIC.name
r = Request('PUT', LOCAL_URL + api_url)
mock_user.set_user_id('76561198018756583')
response = test_client.send(r)
assert(response.status_code == 200)
fake_session = get_current_session()
game = fake_session.query(Game).first()
assert(game.hash == '70DDECEA4653AC55EA77DBA0DB497995')
assert(game.visibility == GameVisibilitySetting.PUBLIC)
game_visiblity = fake_session.query(GameVisibility).first()
assert(game_visiblity.game == game.hash)
assert(game_visiblity.player == '76561198018756583')
assert(game_visiblity.visibility == GameVisibilitySetting.PUBLIC)
| 35.248175
| 113
| 0.687099
| 530
| 4,829
| 6.009434
| 0.145283
| 0.065934
| 0.051805
| 0.046154
| 0.837363
| 0.837363
| 0.809105
| 0.777708
| 0.767033
| 0.767033
| 0
| 0.068098
| 0.20936
| 4,829
| 136
| 114
| 35.507353
| 0.766108
| 0
| 0
| 0.744444
| 0
| 0
| 0.120133
| 0.072908
| 0
| 0
| 0
| 0
| 0.311111
| 1
| 0.044444
| false
| 0
| 0.077778
| 0
| 0.144444
| 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
|
b3e98a96123cadcb357186bc7995c6a903c687ee
| 72
|
py
|
Python
|
src/argv.py
|
0x00-0x00/netbruter
|
de9a605c008b9483950b153b22fa5faf1cb78686
|
[
"MIT"
] | null | null | null |
src/argv.py
|
0x00-0x00/netbruter
|
de9a605c008b9483950b153b22fa5faf1cb78686
|
[
"MIT"
] | 2
|
2017-01-31T13:55:26.000Z
|
2017-02-24T15:10:43.000Z
|
src/argv.py
|
0x00-0x00/netbruter
|
de9a605c008b9483950b153b22fa5faf1cb78686
|
[
"MIT"
] | null | null | null |
import sys
def retrieve_command_line():
return ' '.join(sys.argv)
| 12
| 29
| 0.694444
| 10
| 72
| 4.8
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180556
| 72
| 5
| 30
| 14.4
| 0.813559
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
b60197c45acd18051ed41c33c56c4aea63033a2c
| 8,340
|
py
|
Python
|
cython/Scripts/Database.py
|
guen-ynk/Game-of-the-Amazons
|
997142a93ecdec4dceb345a9b131aff5432569ae
|
[
"MIT"
] | null | null | null |
cython/Scripts/Database.py
|
guen-ynk/Game-of-the-Amazons
|
997142a93ecdec4dceb345a9b131aff5432569ae
|
[
"MIT"
] | null | null | null |
cython/Scripts/Database.py
|
guen-ynk/Game-of-the-Amazons
|
997142a93ecdec4dceb345a9b131aff5432569ae
|
[
"MIT"
] | null | null | null |
import sqlite3
def main():
#Connecting to sqlite
conn = sqlite3.connect('results.db',isolation_level=None)
# Set journal mode to WAL.
conn.execute('pragma journal_mode=wal')
cursor = conn.cursor()
#Doping RESULTS table if already exists.
cursor.execute("DROP TABLE IF EXISTS RESULTS")
sql = '''CREATE TABLE RESULTS(
A_METHOD INT,
B_METHOD INT,
MCTS_SIMS INT,
TIMER INT,
WINS INT,
GAMES INT
)'''
cursor.execute(sql)
#Populating the table
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 1, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 1, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 4, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 4, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 1, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 1, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 4, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 4, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 1, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 1, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 4, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 4, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 1, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 1, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 4, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 4, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 1, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 1, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 4, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 4, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 3, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 5, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 3, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 5, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 3, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 5, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 3, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 5, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 3, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 5, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 3, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 5, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 3, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 5, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 3, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 5, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 3, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (1, 5, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 3, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (4, 5, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 5, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 3, 999999, 1, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 5, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 3, 999999, 5, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 5, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 3, 999999, 10, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 5, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 3, 999999, 20, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (3, 5, 999999, 30, 0, 0)''')
cursor.execute('''INSERT INTO RESULTS(A_METHOD, B_METHOD, MCTS_SIMS, TIMER, WINS, GAMES)
VALUES (5, 3, 999999, 30, 0, 0)''')
conn.commit()
conn.close()
def updateSqliteTable():
try:
sqliteConnection = sqlite3.connect('results.db')
cursor = sqliteConnection.cursor()
info = open("../Data/stableres.txt", "r")
for ga in info.readlines():
game = ga.split()
win = game[0].split(':')[1]
timer = game[4].split(':')[1]
A = game[1].split(':')[1]
B = game[2].split(':')[1]
sql_update_query = """Update RESULTS set GAMES = GAMES+1, WINS = WINS +"""+ win + """ where TIMER= """+ timer + """ AND A_METHOD= """+ A +""" AND B_METHOD="""+B
cursor.execute(sql_update_query)
sqliteConnection.commit()
cursor.close()
except sqlite3.Error as error:
print("Failed to update sqlite table", error)
finally:
if sqliteConnection:
sqliteConnection.close()
print("The SQLite connection is closed")
main() # comment if table already exists and data is to add only
updateSqliteTable() # update: feed stableres.txt results into database
| 46.853933
| 173
| 0.633333
| 1,241
| 8,340
| 4.126511
| 0.071716
| 0.134544
| 0.139426
| 0.224566
| 0.816247
| 0.815466
| 0.815466
| 0.815466
| 0.815466
| 0.815466
| 0
| 0.089294
| 0.203717
| 8,340
| 177
| 174
| 47.118644
| 0.681825
| 0.02506
| 0
| 0.357143
| 0
| 0
| 0.702031
| 0.002585
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014286
| false
| 0
| 0.007143
| 0
| 0.021429
| 0.014286
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
373b2925293e4feb4685fb984ad15d9a769b51e3
| 7,520
|
py
|
Python
|
tests/test_Meter_Jitter.py
|
cjrpriest/pyAnalogueMeterReader
|
9de54a65e3abc90137c15ca2cb6a2356b9f0d033
|
[
"MIT"
] | 2
|
2019-11-25T09:16:11.000Z
|
2021-03-23T07:57:21.000Z
|
tests/test_Meter_Jitter.py
|
cjrpriest/pyAnalogueMeterReader
|
9de54a65e3abc90137c15ca2cb6a2356b9f0d033
|
[
"MIT"
] | null | null | null |
tests/test_Meter_Jitter.py
|
cjrpriest/pyAnalogueMeterReader
|
9de54a65e3abc90137c15ca2cb6a2356b9f0d033
|
[
"MIT"
] | null | null | null |
from test_Meter_Base import *
class TestMeterJitter(TestMeterBase):
def test_Given_dial_moved_0_1_in_5s_with_some_jitter__When_get_average_usage_over_last_5s__Then_average_is_1_2(
self):
dial_positions = [
(TestMeterBase.time("2017-04-26 13:00:00.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:01.000"), 0.14),
(TestMeterBase.time("2017-04-26 13:00:02.000"), 0.15),
(TestMeterBase.time("2017-04-26 13:00:03.000"), 0.14),
(TestMeterBase.time("2017-04-26 13:00:04.000"), 0.15),
(TestMeterBase.time("2017-04-26 13:00:05.000"), 0.2),
]
self.assert_get_average_per_min(dial_positions,
lookback_in_seconds=5,
expected_average=1.2,
current_time=TestMeterBase.time("2017-04-26 13:00:05.000"))
def test_Given_dial_moved_0_in_6s_with_some_jitter__When_get_average_usage_over_last_6s__Then_average_is_0(
self):
dial_positions = [
(TestMeterBase.time("2017-04-26 13:00:00.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:01.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:02.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:03.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:04.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:05.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:06.000"), 0.2),
]
self.assert_get_average_per_min(dial_positions,
lookback_in_seconds=6,
expected_average=0,
current_time=TestMeterBase.time("2017-04-26 13:00:06.000"))
def test_Given_dial_moved_0_in_6s_with_some_jitter__When_get_average_usage_at_5s_and_6s__Then_averages_are_both_0(
self):
# Arrange
meter = Meter(Config())
dial_positions = [
(TestMeterBase.time("2017-04-26 13:00:00.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:01.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:02.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:03.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:04.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:05.000"), 0.1),
]
for dial_position in dial_positions:
meter.update_with_dial_position(dial_position)
# Act
first_average = meter.get_average_per_min(5, TestMeterBase.time("2017-04-26 13:00:05.000"))
meter.update_with_dial_position((TestMeterBase.time("2017-04-26 13:00:06.000"), 0.2))
second_average = meter.get_average_per_min(5, TestMeterBase.time("2017-04-26 13:00:06.000"))
# Assert
self.assertEqual(0, first_average)
self.assertEqual(0, second_average)
def test_Given_lots_of_jitter__When_the_dial_turns_slowly__Then_usage_is_not_missed_by_jitter_compensation(self):
# Arrange
meter = Meter(Config())
for dial_position in [
(TestMeterBase.time("2017-04-26 13:00:00.000"), 0.0),
(TestMeterBase.time("2017-04-26 13:00:01.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:02.000"), 0.0),
(TestMeterBase.time("2017-04-26 13:00:03.000"), 0.1),
]:
meter.update_with_dial_position(dial_position)
first_average = meter.get_average_per_min(60, TestMeterBase.time("2017-04-26 13:00:03.000"))
self.assertEqual(0.1, first_average)
for dial_position in [
(TestMeterBase.time("2017-04-26 13:00:04.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:05.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:06.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:07.000"), 0.1),
]:
meter.update_with_dial_position(dial_position)
second_average = meter.get_average_per_min(60, TestMeterBase.time("2017-04-26 13:00:07.000"))
self.assertEqual(0.2, second_average)
for dial_position in [
(TestMeterBase.time("2017-04-26 13:00:08.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:09.000"), 0.3),
(TestMeterBase.time("2017-04-26 13:00:10.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:11.000"), 0.3),
(TestMeterBase.time("2017-04-26 13:00:12.000"), 0.2)
]:
meter.update_with_dial_position(dial_position)
third_average = meter.get_average_per_min(60, TestMeterBase.time("2017-04-26 13:00:12.000"))
self.assertEqual(0.3, third_average)
def test_Given_some_jitter_followed_by_actual_movement__When_we_get_average__Then_average_is_taken_from_highest_jitter_dial_position(
self):
dial_positions = [
(TestMeterBase.time("2017-04-26 13:00:00.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:01.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:02.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:03.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:04.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:05.000"), 0.1),
(TestMeterBase.time("2017-04-26 13:00:06.000"), 0.2),
(TestMeterBase.time("2017-04-26 13:00:07.000"), 0.3),
(TestMeterBase.time("2017-04-26 13:00:07.000"), 0.4),
]
self.assert_get_average_per_min(dial_positions,
lookback_in_seconds=60,
expected_average=0.2,
current_time=TestMeterBase.time("2017-04-26 13:00:07.000"))
def test_Given_some_early_jitter_and_then_a_period_of_stability_over_90s__When_get_average_over_90s__Then_average_is_0_01(
self):
dial_positions = [
(TestMeterBase.time("2017-05-28 11:49:33.461"), 0.12),
(TestMeterBase.time("2017-05-28 11:49:38.462"), 0.13),
(TestMeterBase.time("2017-05-28 11:49:43.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:49:48.463"), 0.12),
(TestMeterBase.time("2017-05-28 11:49:53.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:49:58.458"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:03.460"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:08.460"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:13.462"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:18.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:23.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:28.458"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:33.460"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:38.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:43.458"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:48.458"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:53.461"), 0.13),
(TestMeterBase.time("2017-05-28 11:50:58.459"), 0.13),
]
self.assert_get_average_per_min(dial_positions,
lookback_in_seconds=90,
expected_average=0.01,
current_time=TestMeterBase.time("2017-05-28 11:51:02.468"))
| 51.862069
| 137
| 0.583511
| 1,100
| 7,520
| 3.782727
| 0.107273
| 0.281903
| 0.348234
| 0.276376
| 0.826244
| 0.804134
| 0.788272
| 0.75727
| 0.75727
| 0.694304
| 0
| 0.246795
| 0.263431
| 7,520
| 145
| 138
| 51.862069
| 0.504423
| 0.003457
| 0
| 0.418033
| 0
| 0
| 0.211883
| 0
| 0
| 0
| 0
| 0
| 0.07377
| 1
| 0.04918
| false
| 0
| 0.008197
| 0
| 0.065574
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 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
| 10
|
37758ad4d64f27fc562b4ea58d3736fa01a47d88
| 1,772
|
py
|
Python
|
tests/test_cliclasses.py
|
zesoup/pgapi_backup
|
14f78d2beabde5bc646ef664d4f1b5fd0a4ee32b
|
[
"MIT"
] | null | null | null |
tests/test_cliclasses.py
|
zesoup/pgapi_backup
|
14f78d2beabde5bc646ef664d4f1b5fd0a4ee32b
|
[
"MIT"
] | null | null | null |
tests/test_cliclasses.py
|
zesoup/pgapi_backup
|
14f78d2beabde5bc646ef664d4f1b5fd0a4ee32b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from pgapi.helper import *
def test_command_true_1():
assert True == command_is_safe('pg_lscluster --json')
def test_command_true_2():
assert True == command_is_safe('pg_ctlcluster 9.6 main status')
def test_command_false_1():
assert False == command_is_safe('pg_lscluster --json; echo foobar')
def test_command_false_2():
assert False == command_is_safe('pg_lscluster --json && echo foobar')
def test_command_false_3():
assert False == command_is_safe('pg_cltlcluster 9.6 main status || echo foobar')
def test_param_is_safe_1_true():
assert True == param_is_safe('port')
def test_param_is_safe_2_true():
assert True == param_is_safe('archive_command')
def test_param_is_safe_1_false():
assert False == param_is_safe('_')
def test_valid_cluster_version_1_true():
assert True == valid_cluster_version('9.6')
def test_valid_cluster_version_2_true():
assert True == valid_cluster_version('10')
def test_valid_cluster_version_1_false():
assert False == valid_cluster_version('9.6.1')
def test_valid_cluster_version_2_false():
assert False == valid_cluster_version('10.1')
def test_valid_cluster_version_3_false():
assert False == valid_cluster_version('10;')
def test_valid_cluster_name_1_true():
assert True == valid_cluster_name('main')
def test_valid_cluster_name_2_true():
assert True== valid_cluster_name('test-1')
def test_valid_cluster_name_3_true():
assert True== valid_cluster_name('test_1')
def test_valid_cluster_name_1_false():
assert False == valid_cluster_name('123test')
def test_valid_cluster_name_2_false():
assert False == valid_cluster_name('test;')
def test_valid_cluster_name_3_false():
assert False == valid_cluster_name('test&&')
| 29.04918
| 84
| 0.754515
| 273
| 1,772
| 4.417582
| 0.142857
| 0.218905
| 0.159204
| 0.1733
| 0.8267
| 0.808458
| 0.378939
| 0.27529
| 0.208955
| 0.208955
| 0
| 0.026675
| 0.132619
| 1,772
| 60
| 85
| 29.533333
| 0.75797
| 0.011851
| 0
| 0
| 0
| 0
| 0.131429
| 0
| 0
| 0
| 0
| 0
| 0.487179
| 1
| 0.487179
| true
| 0
| 0.025641
| 0
| 0.512821
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
37c7bb8c0689f8fc4f8ab7a26f768688c7b28b5e
| 29,137
|
py
|
Python
|
embyapi/api/notifications_service_api.py
|
stanionascu/python-embyapi
|
a3f7aa49aea4052277cc43605c0d89bc6ff21913
|
[
"BSD-3-Clause"
] | null | null | null |
embyapi/api/notifications_service_api.py
|
stanionascu/python-embyapi
|
a3f7aa49aea4052277cc43605c0d89bc6ff21913
|
[
"BSD-3-Clause"
] | null | null | null |
embyapi/api/notifications_service_api.py
|
stanionascu/python-embyapi
|
a3f7aa49aea4052277cc43605c0d89bc6ff21913
|
[
"BSD-3-Clause"
] | null | null | null |
# coding: utf-8
"""
Emby Server API
Explore the Emby Server API # noqa: E501
OpenAPI spec version: 4.1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from embyapi.api_client import ApiClient
class NotificationsServiceApi(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_notifications_by_userid(self, user_id, **kwargs): # noqa: E501
"""Gets notifications # noqa: E501
Requires authentication as user # 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_notifications_by_userid(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param bool is_read: An optional filter by IsRead
:param int start_index: Optional. The record index to start at. All items with a lower index will be dropped from the results.
:param int limit: Optional. The maximum number of records to return
:return: EmbyNotificationsApiNotificationResult
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notifications_by_userid_with_http_info(user_id, **kwargs) # noqa: E501
else:
(data) = self.get_notifications_by_userid_with_http_info(user_id, **kwargs) # noqa: E501
return data
def get_notifications_by_userid_with_http_info(self, user_id, **kwargs): # noqa: E501
"""Gets notifications # noqa: E501
Requires authentication as user # 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_notifications_by_userid_with_http_info(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param bool is_read: An optional filter by IsRead
:param int start_index: Optional. The record index to start at. All items with a lower index will be dropped from the results.
:param int limit: Optional. The maximum number of records to return
:return: EmbyNotificationsApiNotificationResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'is_read', 'start_index', 'limit'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_notifications_by_userid" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_notifications_by_userid`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['UserId'] = params['user_id'] # noqa: E501
query_params = []
if 'is_read' in params:
query_params.append(('IsRead', params['is_read'])) # noqa: E501
if 'start_index' in params:
query_params.append(('StartIndex', params['start_index'])) # noqa: E501
if 'limit' in params:
query_params.append(('Limit', params['limit'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/{UserId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='EmbyNotificationsApiNotificationResult', # 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_notifications_by_userid_summary(self, user_id, **kwargs): # noqa: E501
"""Gets a notification summary for a user # noqa: E501
Requires authentication as user # 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_notifications_by_userid_summary(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:return: EmbyNotificationsApiNotificationsSummary
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notifications_by_userid_summary_with_http_info(user_id, **kwargs) # noqa: E501
else:
(data) = self.get_notifications_by_userid_summary_with_http_info(user_id, **kwargs) # noqa: E501
return data
def get_notifications_by_userid_summary_with_http_info(self, user_id, **kwargs): # noqa: E501
"""Gets a notification summary for a user # noqa: E501
Requires authentication as user # 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_notifications_by_userid_summary_with_http_info(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:return: EmbyNotificationsApiNotificationsSummary
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_notifications_by_userid_summary" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_notifications_by_userid_summary`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['UserId'] = params['user_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/{UserId}/Summary', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='EmbyNotificationsApiNotificationsSummary', # 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_notifications_services(self, **kwargs): # noqa: E501
"""Gets notification types # noqa: E501
Requires authentication as user # 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_notifications_services(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[NameIdPair]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notifications_services_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_notifications_services_with_http_info(**kwargs) # noqa: E501
return data
def get_notifications_services_with_http_info(self, **kwargs): # noqa: E501
"""Gets notification types # noqa: E501
Requires authentication as user # 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_notifications_services_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[NameIdPair]
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_notifications_services" % 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', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/Services', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[NameIdPair]', # 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_notifications_types(self, **kwargs): # noqa: E501
"""Gets notification types # noqa: E501
Requires authentication as user # 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_notifications_types(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[NotificationsNotificationTypeInfo]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_notifications_types_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_notifications_types_with_http_info(**kwargs) # noqa: E501
return data
def get_notifications_types_with_http_info(self, **kwargs): # noqa: E501
"""Gets notification types # noqa: E501
Requires authentication as user # 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_notifications_types_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[NotificationsNotificationTypeInfo]
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_notifications_types" % 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', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/Types', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[NotificationsNotificationTypeInfo]', # 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 post_notifications_admin(self, name, description, **kwargs): # noqa: E501
"""Sends a notification to all admin users # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_admin(name, description, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The notification's name (required)
:param str description: The notification's description (required)
:param str image_url: The notification's image url
:param str url: The notification's info url
:param str level: The notification level
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.post_notifications_admin_with_http_info(name, description, **kwargs) # noqa: E501
else:
(data) = self.post_notifications_admin_with_http_info(name, description, **kwargs) # noqa: E501
return data
def post_notifications_admin_with_http_info(self, name, description, **kwargs): # noqa: E501
"""Sends a notification to all admin users # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_admin_with_http_info(name, description, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The notification's name (required)
:param str description: The notification's description (required)
:param str image_url: The notification's image url
:param str url: The notification's info url
:param str level: The notification level
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'description', 'image_url', 'url', 'level'] # 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 post_notifications_admin" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `post_notifications_admin`") # noqa: E501
# verify the required parameter 'description' is set
if ('description' not in params or
params['description'] is None):
raise ValueError("Missing the required parameter `description` when calling `post_notifications_admin`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'name' in params:
query_params.append(('Name', params['name'])) # noqa: E501
if 'description' in params:
query_params.append(('Description', params['description'])) # noqa: E501
if 'image_url' in params:
query_params.append(('ImageUrl', params['image_url'])) # noqa: E501
if 'url' in params:
query_params.append(('Url', params['url'])) # noqa: E501
if 'level' in params:
query_params.append(('Level', params['level'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/Admin', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def post_notifications_by_userid_read(self, user_id, ids, **kwargs): # noqa: E501
"""Marks notifications as read # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_by_userid_read(user_id, ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param str ids: A list of notification ids, comma delimited (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.post_notifications_by_userid_read_with_http_info(user_id, ids, **kwargs) # noqa: E501
else:
(data) = self.post_notifications_by_userid_read_with_http_info(user_id, ids, **kwargs) # noqa: E501
return data
def post_notifications_by_userid_read_with_http_info(self, user_id, ids, **kwargs): # noqa: E501
"""Marks notifications as read # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_by_userid_read_with_http_info(user_id, ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param str ids: A list of notification ids, comma delimited (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'ids'] # 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 post_notifications_by_userid_read" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `post_notifications_by_userid_read`") # noqa: E501
# verify the required parameter 'ids' is set
if ('ids' not in params or
params['ids'] is None):
raise ValueError("Missing the required parameter `ids` when calling `post_notifications_by_userid_read`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['UserId'] = params['user_id'] # noqa: E501
query_params = []
if 'ids' in params:
query_params.append(('Ids', params['ids'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/{UserId}/Read', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def post_notifications_by_userid_unread(self, user_id, ids, **kwargs): # noqa: E501
"""Marks notifications as unread # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_by_userid_unread(user_id, ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param str ids: A list of notification ids, comma delimited (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.post_notifications_by_userid_unread_with_http_info(user_id, ids, **kwargs) # noqa: E501
else:
(data) = self.post_notifications_by_userid_unread_with_http_info(user_id, ids, **kwargs) # noqa: E501
return data
def post_notifications_by_userid_unread_with_http_info(self, user_id, ids, **kwargs): # noqa: E501
"""Marks notifications as unread # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.post_notifications_by_userid_unread_with_http_info(user_id, ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: User Id (required)
:param str ids: A list of notification ids, comma delimited (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'ids'] # 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 post_notifications_by_userid_unread" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `post_notifications_by_userid_unread`") # noqa: E501
# verify the required parameter 'ids' is set
if ('ids' not in params or
params['ids'] is None):
raise ValueError("Missing the required parameter `ids` when calling `post_notifications_by_userid_unread`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['UserId'] = params['user_id'] # noqa: E501
query_params = []
if 'ids' in params:
query_params.append(('Ids', params['ids'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Notifications/{UserId}/Unread', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 40.524339
| 137
| 0.619419
| 3,356
| 29,137
| 5.123361
| 0.058701
| 0.048389
| 0.041526
| 0.029313
| 0.941957
| 0.928056
| 0.917878
| 0.908689
| 0.899209
| 0.898046
| 0
| 0.015633
| 0.293064
| 29,137
| 718
| 138
| 40.58078
| 0.819109
| 0.337166
| 0
| 0.757813
| 1
| 0
| 0.195908
| 0.066449
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039063
| false
| 0
| 0.010417
| 0
| 0.106771
| 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
|
807e7b75f1ab6066cab9270b4b9f3d950885e289
| 34,543
|
py
|
Python
|
tests/unit/utils/vmware/test_dvs.py
|
guoxiaod/salt
|
2cd6c03b40932be137e6e8a672967b59025a2d34
|
[
"Apache-2.0"
] | 12
|
2015-01-21T00:18:25.000Z
|
2021-07-11T07:35:26.000Z
|
tests/unit/utils/vmware/test_dvs.py
|
guoxiaod/salt
|
2cd6c03b40932be137e6e8a672967b59025a2d34
|
[
"Apache-2.0"
] | 1
|
2015-10-05T22:03:10.000Z
|
2015-10-05T22:03:10.000Z
|
tests/unit/utils/vmware/test_dvs.py
|
guoxiaod/salt
|
2cd6c03b40932be137e6e8a672967b59025a2d34
|
[
"Apache-2.0"
] | 12
|
2015-01-05T09:50:42.000Z
|
2019-08-19T01:43:40.000Z
|
# -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Alexandru Bleotu <alexandru.bleotu@morganstanley.com>`
Tests for dvs related functions in salt.utils.vmware
'''
# Import python libraries
from __future__ import absolute_import, print_function, unicode_literals
import logging
# Import Salt testing libraries
from tests.support.unit import TestCase, skipIf
from tests.support.mock import NO_MOCK, NO_MOCK_REASON, patch, MagicMock, call
from salt.exceptions import VMwareObjectRetrievalError, VMwareApiError, \
ArgumentValueError, VMwareRuntimeError
#i Import Salt libraries
import salt.utils.vmware as vmware
# Import Third Party Libs
try:
from pyVmomi import vim, vmodl
HAS_PYVMOMI = True
except ImportError:
HAS_PYVMOMI = False
# Get Logging Started
log = logging.getLogger(__name__)
class FakeTaskClass(object):
pass
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class GetDvssTestCase(TestCase):
def setUp(self):
self.mock_si = MagicMock()
self.mock_dc_ref = MagicMock()
self.mock_traversal_spec = MagicMock()
self.mock_items = [{'object': MagicMock(),
'name': 'fake_dvs1'},
{'object': MagicMock(),
'name': 'fake_dvs2'},
{'object': MagicMock(),
'name': 'fake_dvs3'}]
self.mock_get_mors = MagicMock(return_value=self.mock_items)
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock()),
('salt.utils.vmware.get_mors_with_properties',
self.mock_get_mors),
('salt.utils.vmware.get_service_instance_from_managed_object',
MagicMock(return_value=self.mock_si)),
('salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
MagicMock(return_value=self.mock_traversal_spec)))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_si', 'mock_dc_ref', 'mock_traversal_spec',
'mock_items', 'mock_get_mors'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.get_dvss(self.mock_dc_ref)
mock_get_managed_object_name.assert_called_once_with(self.mock_dc_ref)
def test_traversal_spec(self):
mock_traversal_spec = MagicMock(return_value='traversal_spec')
with patch(
'salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
mock_traversal_spec):
vmware.get_dvss(self.mock_dc_ref)
mock_traversal_spec.assert_has_calls(
[call(path='childEntity', skip=False, type=vim.Folder),
call(path='networkFolder', skip=True, type=vim.Datacenter,
selectSet=['traversal_spec'])])
def test_get_mors_with_properties(self):
vmware.get_dvss(self.mock_dc_ref)
self.mock_get_mors.assert_called_once_with(
self.mock_si, vim.DistributedVirtualSwitch,
container_ref=self.mock_dc_ref, property_list=['name'],
traversal_spec=self.mock_traversal_spec)
def test_get_no_dvss(self):
ret = vmware.get_dvss(self.mock_dc_ref)
self.assertEqual(ret, [])
def test_get_all_dvss(self):
ret = vmware.get_dvss(self.mock_dc_ref, get_all_dvss=True)
self.assertEqual(ret, [i['object'] for i in self.mock_items])
def test_filtered_all_dvss(self):
ret = vmware.get_dvss(self.mock_dc_ref,
dvs_names=['fake_dvs1', 'fake_dvs3', 'no_dvs'])
self.assertEqual(ret, [self.mock_items[0]['object'],
self.mock_items[2]['object']])
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class GetNetworkFolderTestCase(TestCase):
def setUp(self):
self.mock_si = MagicMock()
self.mock_dc_ref = MagicMock()
self.mock_traversal_spec = MagicMock()
self.mock_entries = [{'object': MagicMock(),
'name': 'fake_netw_folder'}]
self.mock_get_mors = MagicMock(return_value=self.mock_entries)
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dc')),
('salt.utils.vmware.get_service_instance_from_managed_object',
MagicMock(return_value=self.mock_si)),
('salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
MagicMock(return_value=self.mock_traversal_spec)),
('salt.utils.vmware.get_mors_with_properties',
self.mock_get_mors))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_si', 'mock_dc_ref', 'mock_traversal_spec',
'mock_entries', 'mock_get_mors'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.get_network_folder(self.mock_dc_ref)
mock_get_managed_object_name.assert_called_once_with(self.mock_dc_ref)
def test_traversal_spec(self):
mock_traversal_spec = MagicMock(return_value='traversal_spec')
with patch(
'salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
mock_traversal_spec):
vmware.get_network_folder(self.mock_dc_ref)
mock_traversal_spec.assert_called_once_with(
path='networkFolder', skip=False, type=vim.Datacenter)
def test_get_mors_with_properties(self):
vmware.get_network_folder(self.mock_dc_ref)
self.mock_get_mors.assert_called_once_with(
self.mock_si, vim.Folder, container_ref=self.mock_dc_ref,
property_list=['name'], traversal_spec=self.mock_traversal_spec)
def test_get_no_network_folder(self):
with patch('salt.utils.vmware.get_mors_with_properties',
MagicMock(return_value=[])):
with self.assertRaises(VMwareObjectRetrievalError) as excinfo:
vmware.get_network_folder(self.mock_dc_ref)
self.assertEqual(excinfo.exception.strerror,
'Network folder in datacenter \'fake_dc\' wasn\'t '
'retrieved')
def test_get_network_folder(self):
ret = vmware.get_network_folder(self.mock_dc_ref)
self.assertEqual(ret, self.mock_entries[0]['object'])
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class CreateDvsTestCase(TestCase):
def setUp(self):
self.mock_dc_ref = MagicMock()
self.mock_dvs_create_spec = MagicMock()
self.mock_task = MagicMock(spec=FakeTaskClass)
self.mock_netw_folder = \
MagicMock(CreateDVS_Task=MagicMock(
return_value=self.mock_task))
self.mock_wait_for_task = MagicMock()
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dc')),
('salt.utils.vmware.get_network_folder',
MagicMock(return_value=self.mock_netw_folder)),
('salt.utils.vmware.wait_for_task', self.mock_wait_for_task))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_dc_ref', 'mock_dvs_create_spec',
'mock_task', 'mock_netw_folder', 'mock_wait_for_task'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs')
mock_get_managed_object_name.assert_called_once_with(self.mock_dc_ref)
def test_no_dvs_create_spec(self):
mock_spec = MagicMock(configSpec=None)
mock_config_spec = MagicMock()
mock_dvs_create_spec = MagicMock(return_value=mock_spec)
mock_vmware_dvs_config_spec = \
MagicMock(return_value=mock_config_spec)
with patch('salt.utils.vmware.vim.DVSCreateSpec',
mock_dvs_create_spec):
with patch('salt.utils.vmware.vim.VMwareDVSConfigSpec',
mock_vmware_dvs_config_spec):
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs')
mock_dvs_create_spec.assert_called_once_with()
mock_vmware_dvs_config_spec.assert_called_once_with()
self.assertEqual(mock_spec.configSpec, mock_config_spec)
self.assertEqual(mock_config_spec.name, 'fake_dvs')
self.mock_netw_folder.CreateDVS_Task.assert_called_once_with(mock_spec)
def test_get_network_folder(self):
mock_get_network_folder = MagicMock()
with patch('salt.utils.vmware.get_network_folder',
mock_get_network_folder):
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs')
mock_get_network_folder.assert_called_once_with(self.mock_dc_ref)
def test_create_dvs_task_passed_in_spec(self):
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs',
dvs_create_spec=self.mock_dvs_create_spec)
self.mock_netw_folder.CreateDVS_Task.assert_called_once_with(
self.mock_dvs_create_spec)
def test_create_dvs_task_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_netw_folder.CreateDVS_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs',
dvs_create_spec=self.mock_dvs_create_spec)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_create_dvs_task_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_netw_folder.CreateDVS_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs',
dvs_create_spec=self.mock_dvs_create_spec)
self.assertEqual(excinfo.exception.strerror, 'VimFault msg')
def test_create_dvs_task_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_netw_folder.CreateDVS_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs',
dvs_create_spec=self.mock_dvs_create_spec)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
def test_wait_for_tasks(self):
vmware.create_dvs(self.mock_dc_ref, 'fake_dvs',
dvs_create_spec=self.mock_dvs_create_spec)
self.mock_wait_for_task.assert_called_once_with(
self.mock_task, 'fake_dvs',
'<class \'unit.utils.vmware.test_dvs.FakeTaskClass\'>')
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class UpdateDvsTestCase(TestCase):
def setUp(self):
self.mock_task = MagicMock(spec=FakeTaskClass)
self.mock_dvs_ref = MagicMock(
ReconfigureDvs_Task=MagicMock(return_value=self.mock_task))
self.mock_dvs_spec = MagicMock()
self.mock_wait_for_task = MagicMock()
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dvs')),
('salt.utils.vmware.wait_for_task', self.mock_wait_for_task))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_dvs_ref', 'mock_task', 'mock_dvs_spec',
'mock_wait_for_task'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
mock_get_managed_object_name.assert_called_once_with(self.mock_dvs_ref)
def test_reconfigure_dvs_task(self):
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
self.mock_dvs_ref.ReconfigureDvs_Task.assert_called_once_with(
self.mock_dvs_spec)
def test_reconfigure_dvs_task_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_dvs_ref.ReconfigureDvs_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_reconfigure_dvs_task_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_dvs_ref.ReconfigureDvs_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
self.assertEqual(excinfo.exception.strerror, 'VimFault msg')
def test_reconfigure_dvs_task_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_dvs_ref.ReconfigureDvs_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
def test_wait_for_tasks(self):
vmware.update_dvs(self.mock_dvs_ref, self.mock_dvs_spec)
self.mock_wait_for_task.assert_called_once_with(
self.mock_task, 'fake_dvs',
'<class \'unit.utils.vmware.test_dvs.FakeTaskClass\'>')
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class SetDvsNetworkResourceManagementEnabledTestCase(TestCase):
def setUp(self):
self.mock_enabled = MagicMock()
self.mock_dvs_ref = MagicMock(
EnableNetworkResourceManagement=MagicMock())
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dvs')),)
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_dvs_ref', 'mock_enabled'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.set_dvs_network_resource_management_enabled(
self.mock_dvs_ref, self.mock_enabled)
mock_get_managed_object_name.assert_called_once_with(self.mock_dvs_ref)
def test_enable_network_resource_management(self):
vmware.set_dvs_network_resource_management_enabled(
self.mock_dvs_ref, self.mock_enabled)
self.mock_dvs_ref.EnableNetworkResourceManagement.assert_called_once_with(
enable=self.mock_enabled)
def test_enable_network_resource_management_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_dvs_ref.EnableNetworkResourceManagement = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.set_dvs_network_resource_management_enabled(
self.mock_dvs_ref, self.mock_enabled)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_enable_network_resource_management_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_dvs_ref.EnableNetworkResourceManagement = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.set_dvs_network_resource_management_enabled(
self.mock_dvs_ref, self.mock_enabled)
def test_enable_network_resource_management_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_dvs_ref.EnableNetworkResourceManagement = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.set_dvs_network_resource_management_enabled(
self.mock_dvs_ref, self.mock_enabled)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class GetDvportgroupsTestCase(TestCase):
def setUp(self):
self.mock_si = MagicMock()
self.mock_dc_ref = MagicMock(spec=vim.Datacenter)
self.mock_dvs_ref = MagicMock(spec=vim.DistributedVirtualSwitch)
self.mock_traversal_spec = MagicMock()
self.mock_items = [{'object': MagicMock(),
'name': 'fake_pg1'},
{'object': MagicMock(),
'name': 'fake_pg2'},
{'object': MagicMock(),
'name': 'fake_pg3'}]
self.mock_get_mors = MagicMock(return_value=self.mock_items)
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock()),
('salt.utils.vmware.get_mors_with_properties',
self.mock_get_mors),
('salt.utils.vmware.get_service_instance_from_managed_object',
MagicMock(return_value=self.mock_si)),
('salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
MagicMock(return_value=self.mock_traversal_spec)))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_si', 'mock_dc_ref', 'mock_dvs_ref',
'mock_traversal_spec', 'mock_items', 'mock_get_mors'):
delattr(self, attr)
def test_unsupported_parrent(self):
with self.assertRaises(ArgumentValueError) as excinfo:
vmware.get_dvportgroups(MagicMock())
self.assertEqual(excinfo.exception.strerror,
'Parent has to be either a datacenter, or a '
'distributed virtual switch')
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.get_dvportgroups(self.mock_dc_ref)
mock_get_managed_object_name.assert_called_once_with(self.mock_dc_ref)
def test_traversal_spec_datacenter_parent(self):
mock_traversal_spec = MagicMock(return_value='traversal_spec')
with patch(
'salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
mock_traversal_spec):
vmware.get_dvportgroups(self.mock_dc_ref)
mock_traversal_spec.assert_has_calls(
[call(path='childEntity', skip=False, type=vim.Folder),
call(path='networkFolder', skip=True, type=vim.Datacenter,
selectSet=['traversal_spec'])])
def test_traversal_spec_dvs_parent(self):
mock_traversal_spec = MagicMock(return_value='traversal_spec')
with patch(
'salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
mock_traversal_spec):
vmware.get_dvportgroups(self.mock_dvs_ref)
mock_traversal_spec.assert_called_once_with(
path='portgroup', skip=False, type=vim.DistributedVirtualSwitch)
def test_get_mors_with_properties(self):
vmware.get_dvportgroups(self.mock_dvs_ref)
self.mock_get_mors.assert_called_once_with(
self.mock_si, vim.DistributedVirtualPortgroup,
container_ref=self.mock_dvs_ref, property_list=['name'],
traversal_spec=self.mock_traversal_spec)
def test_get_no_pgs(self):
ret = vmware.get_dvportgroups(self.mock_dvs_ref)
self.assertEqual(ret, [])
def test_get_all_pgs(self):
ret = vmware.get_dvportgroups(self.mock_dvs_ref,
get_all_portgroups=True)
self.assertEqual(ret, [i['object'] for i in self.mock_items])
def test_filtered_pgs(self):
ret = vmware.get_dvss(self.mock_dc_ref,
dvs_names=['fake_pg1', 'fake_pg3', 'no_pg'])
self.assertEqual(ret, [self.mock_items[0]['object'],
self.mock_items[2]['object']])
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class GetUplinkDvportgroupTestCase(TestCase):
def setUp(self):
self.mock_si = MagicMock()
self.mock_dvs_ref = MagicMock(spec=vim.DistributedVirtualSwitch)
self.mock_traversal_spec = MagicMock()
self.mock_items = [{'object': MagicMock(),
'tag': [MagicMock(key='fake_tag')]},
{'object': MagicMock(),
'tag': [MagicMock(key='SYSTEM/DVS.UPLINKPG')]}]
self.mock_get_mors = MagicMock(return_value=self.mock_items)
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dvs')),
('salt.utils.vmware.get_mors_with_properties',
self.mock_get_mors),
('salt.utils.vmware.get_service_instance_from_managed_object',
MagicMock(return_value=self.mock_si)),
('salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
MagicMock(return_value=self.mock_traversal_spec)))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_si', 'mock_dvs_ref', 'mock_traversal_spec',
'mock_items', 'mock_get_mors'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.get_uplink_dvportgroup(self.mock_dvs_ref)
mock_get_managed_object_name.assert_called_once_with(self.mock_dvs_ref)
def test_traversal_spec(self):
mock_traversal_spec = MagicMock(return_value='traversal_spec')
with patch(
'salt.utils.vmware.vmodl.query.PropertyCollector.TraversalSpec',
mock_traversal_spec):
vmware.get_uplink_dvportgroup(self.mock_dvs_ref)
mock_traversal_spec.assert_called_once_with(
path='portgroup', skip=False, type=vim.DistributedVirtualSwitch)
def test_get_mors_with_properties(self):
vmware.get_uplink_dvportgroup(self.mock_dvs_ref)
self.mock_get_mors.assert_called_once_with(
self.mock_si, vim.DistributedVirtualPortgroup,
container_ref=self.mock_dvs_ref, property_list=['tag'],
traversal_spec=self.mock_traversal_spec)
def test_get_no_uplink_pg(self):
with patch('salt.utils.vmware.get_mors_with_properties',
MagicMock(return_value=[])):
with self.assertRaises(VMwareObjectRetrievalError) as excinfo:
vmware.get_uplink_dvportgroup(self.mock_dvs_ref)
self.assertEqual(excinfo.exception.strerror,
'Uplink portgroup of DVS \'fake_dvs\' wasn\'t found')
def test_get_uplink_pg(self):
ret = vmware.get_uplink_dvportgroup(self.mock_dvs_ref)
self.assertEqual(ret, self.mock_items[1]['object'])
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class CreateDvportgroupTestCase(TestCase):
def setUp(self):
self.mock_pg_spec = MagicMock()
self.mock_task = MagicMock(spec=FakeTaskClass)
self.mock_dvs_ref = \
MagicMock(CreateDVPortgroup_Task=MagicMock(
return_value=self.mock_task))
self.mock_wait_for_task = MagicMock()
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_dvs')),
('salt.utils.vmware.wait_for_task', self.mock_wait_for_task))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_pg_spec', 'mock_dvs_ref', 'mock_task',
'mock_wait_for_task'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
mock_get_managed_object_name.assert_called_once_with(self.mock_dvs_ref)
def test_create_dvporgroup_task(self):
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
self.mock_dvs_ref.CreateDVPortgroup_Task.assert_called_once_with(
self.mock_pg_spec)
def test_create_dvporgroup_task_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_dvs_ref.CreateDVPortgroup_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_create_dvporgroup_task_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_dvs_ref.CreateDVPortgroup_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror, 'VimFault msg')
def test_create_dvporgroup_task_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_dvs_ref.CreateDVPortgroup_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
def test_wait_for_tasks(self):
vmware.create_dvportgroup(self.mock_dvs_ref, self.mock_pg_spec)
self.mock_wait_for_task.assert_called_once_with(
self.mock_task, 'fake_dvs',
'<class \'unit.utils.vmware.test_dvs.FakeTaskClass\'>')
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class UpdateDvportgroupTestCase(TestCase):
def setUp(self):
self.mock_pg_spec = MagicMock()
self.mock_task = MagicMock(spec=FakeTaskClass)
self.mock_pg_ref = \
MagicMock(ReconfigureDVPortgroup_Task=MagicMock(
return_value=self.mock_task))
self.mock_wait_for_task = MagicMock()
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_pg')),
('salt.utils.vmware.wait_for_task', self.mock_wait_for_task))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_pg_spec', 'mock_pg_ref', 'mock_task',
'mock_wait_for_task'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
mock_get_managed_object_name.assert_called_once_with(self.mock_pg_ref)
def test_reconfigure_dvporgroup_task(self):
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
self.mock_pg_ref.ReconfigureDVPortgroup_Task.assert_called_once_with(
self.mock_pg_spec)
def test_reconfigure_dvporgroup_task_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_pg_ref.ReconfigureDVPortgroup_Task = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_reconfigure_dvporgroup_task_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_pg_ref.ReconfigureDVPortgroup_Task = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror, 'VimFault msg')
def test_reconfigure_dvporgroup_task_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_pg_ref.ReconfigureDVPortgroup_Task = \
MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
def test_wait_for_tasks(self):
vmware.update_dvportgroup(self.mock_pg_ref, self.mock_pg_spec)
self.mock_wait_for_task.assert_called_once_with(
self.mock_task, 'fake_pg',
'<class \'unit.utils.vmware.test_dvs.FakeTaskClass\'>')
@skipIf(NO_MOCK, NO_MOCK_REASON)
@skipIf(not HAS_PYVMOMI, 'The \'pyvmomi\' library is missing')
class RemoveDvportgroupTestCase(TestCase):
def setUp(self):
self.mock_task = MagicMock(spec=FakeTaskClass)
self.mock_pg_ref = \
MagicMock(Destroy_Task=MagicMock(
return_value=self.mock_task))
self.mock_wait_for_task = MagicMock()
patches = (
('salt.utils.vmware.get_managed_object_name',
MagicMock(return_value='fake_pg')),
('salt.utils.vmware.wait_for_task', self.mock_wait_for_task))
for mod, mock in patches:
patcher = patch(mod, mock)
patcher.start()
self.addCleanup(patcher.stop)
def tearDown(self):
for attr in ('mock_pg_ref', 'mock_task', 'mock_wait_for_task'):
delattr(self, attr)
def test_get_managed_object_name_call(self):
mock_get_managed_object_name = MagicMock()
with patch('salt.utils.vmware.get_managed_object_name',
mock_get_managed_object_name):
vmware.remove_dvportgroup(self.mock_pg_ref)
mock_get_managed_object_name.assert_called_once_with(self.mock_pg_ref)
def test_destroy_task(self):
vmware.remove_dvportgroup(self.mock_pg_ref)
self.mock_pg_ref.Destroy_Task.assert_called_once_with()
def test_destroy_task_raises_no_permission(self):
exc = vim.fault.NoPermission()
exc.privilegeId = 'Fake privilege'
self.mock_pg_ref.Destroy_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.remove_dvportgroup(self.mock_pg_ref)
self.assertEqual(excinfo.exception.strerror,
'Not enough permissions. Required privilege: '
'Fake privilege')
def test_destroy_treconfigure_dvporgroup_task_raises_vim_fault(self):
exc = vim.fault.VimFault()
exc.msg = 'VimFault msg'
self.mock_pg_ref.Destroy_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareApiError) as excinfo:
vmware.remove_dvportgroup(self.mock_pg_ref)
self.assertEqual(excinfo.exception.strerror, 'VimFault msg')
def test_destroy_treconfigure_dvporgroup_task_raises_runtime_fault(self):
exc = vmodl.RuntimeFault()
exc.msg = 'RuntimeFault msg'
self.mock_pg_ref.Destroy_Task = MagicMock(side_effect=exc)
with self.assertRaises(VMwareRuntimeError) as excinfo:
vmware.remove_dvportgroup(self.mock_pg_ref)
self.assertEqual(excinfo.exception.strerror, 'RuntimeFault msg')
def test_wait_for_tasks(self):
vmware.remove_dvportgroup(self.mock_pg_ref)
self.mock_wait_for_task.assert_called_once_with(
self.mock_task, 'fake_pg',
'<class \'unit.utils.vmware.test_dvs.FakeTaskClass\'>')
| 44.003822
| 82
| 0.66575
| 4,115
| 34,543
| 5.225759
| 0.053949
| 0.093006
| 0.032738
| 0.055804
| 0.904529
| 0.88072
| 0.861979
| 0.850586
| 0.843936
| 0.828358
| 0
| 0.000649
| 0.241554
| 34,543
| 784
| 83
| 44.059949
| 0.820146
| 0.007903
| 0
| 0.768533
| 0
| 0
| 0.132062
| 0.062951
| 0
| 0
| 0
| 0
| 0.128593
| 1
| 0.122542
| false
| 0.003026
| 0.012103
| 0
| 0.151286
| 0.001513
| 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
|
038bc1c5c316aaa1dc1972c3876bf0b454a231cd
| 463
|
py
|
Python
|
Codewars/6kyu/selective-array-reversing/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | 7
|
2017-09-20T16:40:39.000Z
|
2021-08-31T18:15:08.000Z
|
Codewars/6kyu/selective-array-reversing/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
Codewars/6kyu/selective-array-reversing/Python/test.py
|
RevansChen/online-judge
|
ad1b07fee7bd3c49418becccda904e17505f3018
|
[
"MIT"
] | null | null | null |
# Python - 3.6.0
Test.describe('Basic tests')
Test.assert_equals(sel_reverse([2, 4, 6, 8, 10, 12, 14, 16], 3), [6, 4, 2, 12, 10, 8, 16, 14])
Test.assert_equals(sel_reverse([2, 4, 6, 8, 10, 12, 14, 16], 2), [4, 2, 8, 6, 12, 10, 16, 14])
Test.assert_equals(sel_reverse([1, 2, 3, 4, 5, 6], 2), [2, 1, 4, 3, 6, 5])
Test.assert_equals(sel_reverse([1, 2, 3, 4, 5, 6], 0), [1, 2, 3, 4, 5, 6])
Test.assert_equals(sel_reverse([1, 2, 3, 4, 5, 6], 10), [6, 5, 4, 3, 2, 1])
| 51.444444
| 94
| 0.563715
| 106
| 463
| 2.367925
| 0.198113
| 0.199203
| 0.318725
| 0.378486
| 0.741036
| 0.741036
| 0.717131
| 0.685259
| 0.685259
| 0.685259
| 0
| 0.24282
| 0.172786
| 463
| 8
| 95
| 57.875
| 0.412533
| 0.030238
| 0
| 0
| 0
| 0
| 0.024609
| 0
| 0
| 0
| 0
| 0
| 0.833333
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
45512bc435ba1eb85a69b54239ad8f559d48fbf9
| 18,725
|
py
|
Python
|
sdk/python/pulumi_alicloud/cs/autoscaling_config.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 42
|
2019-03-18T06:34:37.000Z
|
2022-03-24T07:08:57.000Z
|
sdk/python/pulumi_alicloud/cs/autoscaling_config.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 152
|
2019-04-15T21:03:44.000Z
|
2022-03-29T18:00:57.000Z
|
sdk/python/pulumi_alicloud/cs/autoscaling_config.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2020-08-26T17:30:07.000Z
|
2021-07-05T01:37:45.000Z
|
# 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__ = ['AutoscalingConfigArgs', 'AutoscalingConfig']
@pulumi.input_type
class AutoscalingConfigArgs:
def __init__(__self__, *,
cluster_id: Optional[pulumi.Input[str]] = None,
cool_down_duration: Optional[pulumi.Input[str]] = None,
gpu_utilization_threshold: Optional[pulumi.Input[str]] = None,
scan_interval: Optional[pulumi.Input[str]] = None,
unneeded_duration: Optional[pulumi.Input[str]] = None,
utilization_threshold: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a AutoscalingConfig resource.
:param pulumi.Input[str] cluster_id: The id of kubernetes cluster.
:param pulumi.Input[str] cool_down_duration: The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
:param pulumi.Input[str] gpu_utilization_threshold: The scale-in threshold for GPU instance. Default is `0.5`.
:param pulumi.Input[str] scan_interval: The scan interval. Default is `30s`
:param pulumi.Input[str] unneeded_duration: The unneeded duration. Default is `10m`.
:param pulumi.Input[str] utilization_threshold: The scale-in threshold. Default is `0.5`.
"""
if cluster_id is not None:
pulumi.set(__self__, "cluster_id", cluster_id)
if cool_down_duration is not None:
pulumi.set(__self__, "cool_down_duration", cool_down_duration)
if gpu_utilization_threshold is not None:
pulumi.set(__self__, "gpu_utilization_threshold", gpu_utilization_threshold)
if scan_interval is not None:
pulumi.set(__self__, "scan_interval", scan_interval)
if unneeded_duration is not None:
pulumi.set(__self__, "unneeded_duration", unneeded_duration)
if utilization_threshold is not None:
pulumi.set(__self__, "utilization_threshold", utilization_threshold)
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> Optional[pulumi.Input[str]]:
"""
The id of kubernetes cluster.
"""
return pulumi.get(self, "cluster_id")
@cluster_id.setter
def cluster_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_id", value)
@property
@pulumi.getter(name="coolDownDuration")
def cool_down_duration(self) -> Optional[pulumi.Input[str]]:
"""
The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
"""
return pulumi.get(self, "cool_down_duration")
@cool_down_duration.setter
def cool_down_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cool_down_duration", value)
@property
@pulumi.getter(name="gpuUtilizationThreshold")
def gpu_utilization_threshold(self) -> Optional[pulumi.Input[str]]:
"""
The scale-in threshold for GPU instance. Default is `0.5`.
"""
return pulumi.get(self, "gpu_utilization_threshold")
@gpu_utilization_threshold.setter
def gpu_utilization_threshold(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "gpu_utilization_threshold", value)
@property
@pulumi.getter(name="scanInterval")
def scan_interval(self) -> Optional[pulumi.Input[str]]:
"""
The scan interval. Default is `30s`
"""
return pulumi.get(self, "scan_interval")
@scan_interval.setter
def scan_interval(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scan_interval", value)
@property
@pulumi.getter(name="unneededDuration")
def unneeded_duration(self) -> Optional[pulumi.Input[str]]:
"""
The unneeded duration. Default is `10m`.
"""
return pulumi.get(self, "unneeded_duration")
@unneeded_duration.setter
def unneeded_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "unneeded_duration", value)
@property
@pulumi.getter(name="utilizationThreshold")
def utilization_threshold(self) -> Optional[pulumi.Input[str]]:
"""
The scale-in threshold. Default is `0.5`.
"""
return pulumi.get(self, "utilization_threshold")
@utilization_threshold.setter
def utilization_threshold(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "utilization_threshold", value)
@pulumi.input_type
class _AutoscalingConfigState:
def __init__(__self__, *,
cluster_id: Optional[pulumi.Input[str]] = None,
cool_down_duration: Optional[pulumi.Input[str]] = None,
gpu_utilization_threshold: Optional[pulumi.Input[str]] = None,
scan_interval: Optional[pulumi.Input[str]] = None,
unneeded_duration: Optional[pulumi.Input[str]] = None,
utilization_threshold: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering AutoscalingConfig resources.
:param pulumi.Input[str] cluster_id: The id of kubernetes cluster.
:param pulumi.Input[str] cool_down_duration: The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
:param pulumi.Input[str] gpu_utilization_threshold: The scale-in threshold for GPU instance. Default is `0.5`.
:param pulumi.Input[str] scan_interval: The scan interval. Default is `30s`
:param pulumi.Input[str] unneeded_duration: The unneeded duration. Default is `10m`.
:param pulumi.Input[str] utilization_threshold: The scale-in threshold. Default is `0.5`.
"""
if cluster_id is not None:
pulumi.set(__self__, "cluster_id", cluster_id)
if cool_down_duration is not None:
pulumi.set(__self__, "cool_down_duration", cool_down_duration)
if gpu_utilization_threshold is not None:
pulumi.set(__self__, "gpu_utilization_threshold", gpu_utilization_threshold)
if scan_interval is not None:
pulumi.set(__self__, "scan_interval", scan_interval)
if unneeded_duration is not None:
pulumi.set(__self__, "unneeded_duration", unneeded_duration)
if utilization_threshold is not None:
pulumi.set(__self__, "utilization_threshold", utilization_threshold)
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> Optional[pulumi.Input[str]]:
"""
The id of kubernetes cluster.
"""
return pulumi.get(self, "cluster_id")
@cluster_id.setter
def cluster_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_id", value)
@property
@pulumi.getter(name="coolDownDuration")
def cool_down_duration(self) -> Optional[pulumi.Input[str]]:
"""
The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
"""
return pulumi.get(self, "cool_down_duration")
@cool_down_duration.setter
def cool_down_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cool_down_duration", value)
@property
@pulumi.getter(name="gpuUtilizationThreshold")
def gpu_utilization_threshold(self) -> Optional[pulumi.Input[str]]:
"""
The scale-in threshold for GPU instance. Default is `0.5`.
"""
return pulumi.get(self, "gpu_utilization_threshold")
@gpu_utilization_threshold.setter
def gpu_utilization_threshold(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "gpu_utilization_threshold", value)
@property
@pulumi.getter(name="scanInterval")
def scan_interval(self) -> Optional[pulumi.Input[str]]:
"""
The scan interval. Default is `30s`
"""
return pulumi.get(self, "scan_interval")
@scan_interval.setter
def scan_interval(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scan_interval", value)
@property
@pulumi.getter(name="unneededDuration")
def unneeded_duration(self) -> Optional[pulumi.Input[str]]:
"""
The unneeded duration. Default is `10m`.
"""
return pulumi.get(self, "unneeded_duration")
@unneeded_duration.setter
def unneeded_duration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "unneeded_duration", value)
@property
@pulumi.getter(name="utilizationThreshold")
def utilization_threshold(self) -> Optional[pulumi.Input[str]]:
"""
The scale-in threshold. Default is `0.5`.
"""
return pulumi.get(self, "utilization_threshold")
@utilization_threshold.setter
def utilization_threshold(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "utilization_threshold", value)
class AutoscalingConfig(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
cool_down_duration: Optional[pulumi.Input[str]] = None,
gpu_utilization_threshold: Optional[pulumi.Input[str]] = None,
scan_interval: Optional[pulumi.Input[str]] = None,
unneeded_duration: Optional[pulumi.Input[str]] = None,
utilization_threshold: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Create a AutoscalingConfig resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] cluster_id: The id of kubernetes cluster.
:param pulumi.Input[str] cool_down_duration: The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
:param pulumi.Input[str] gpu_utilization_threshold: The scale-in threshold for GPU instance. Default is `0.5`.
:param pulumi.Input[str] scan_interval: The scan interval. Default is `30s`
:param pulumi.Input[str] unneeded_duration: The unneeded duration. Default is `10m`.
:param pulumi.Input[str] utilization_threshold: The scale-in threshold. Default is `0.5`.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[AutoscalingConfigArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a AutoscalingConfig resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param AutoscalingConfigArgs 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(AutoscalingConfigArgs, 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,
cluster_id: Optional[pulumi.Input[str]] = None,
cool_down_duration: Optional[pulumi.Input[str]] = None,
gpu_utilization_threshold: Optional[pulumi.Input[str]] = None,
scan_interval: Optional[pulumi.Input[str]] = None,
unneeded_duration: Optional[pulumi.Input[str]] = None,
utilization_threshold: 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__ = AutoscalingConfigArgs.__new__(AutoscalingConfigArgs)
__props__.__dict__["cluster_id"] = cluster_id
__props__.__dict__["cool_down_duration"] = cool_down_duration
__props__.__dict__["gpu_utilization_threshold"] = gpu_utilization_threshold
__props__.__dict__["scan_interval"] = scan_interval
__props__.__dict__["unneeded_duration"] = unneeded_duration
__props__.__dict__["utilization_threshold"] = utilization_threshold
super(AutoscalingConfig, __self__).__init__(
'alicloud:cs/autoscalingConfig:AutoscalingConfig',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
cool_down_duration: Optional[pulumi.Input[str]] = None,
gpu_utilization_threshold: Optional[pulumi.Input[str]] = None,
scan_interval: Optional[pulumi.Input[str]] = None,
unneeded_duration: Optional[pulumi.Input[str]] = None,
utilization_threshold: Optional[pulumi.Input[str]] = None) -> 'AutoscalingConfig':
"""
Get an existing AutoscalingConfig 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] cluster_id: The id of kubernetes cluster.
:param pulumi.Input[str] cool_down_duration: The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
:param pulumi.Input[str] gpu_utilization_threshold: The scale-in threshold for GPU instance. Default is `0.5`.
:param pulumi.Input[str] scan_interval: The scan interval. Default is `30s`
:param pulumi.Input[str] unneeded_duration: The unneeded duration. Default is `10m`.
:param pulumi.Input[str] utilization_threshold: The scale-in threshold. Default is `0.5`.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _AutoscalingConfigState.__new__(_AutoscalingConfigState)
__props__.__dict__["cluster_id"] = cluster_id
__props__.__dict__["cool_down_duration"] = cool_down_duration
__props__.__dict__["gpu_utilization_threshold"] = gpu_utilization_threshold
__props__.__dict__["scan_interval"] = scan_interval
__props__.__dict__["unneeded_duration"] = unneeded_duration
__props__.__dict__["utilization_threshold"] = utilization_threshold
return AutoscalingConfig(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> pulumi.Output[Optional[str]]:
"""
The id of kubernetes cluster.
"""
return pulumi.get(self, "cluster_id")
@property
@pulumi.getter(name="coolDownDuration")
def cool_down_duration(self) -> pulumi.Output[Optional[str]]:
"""
The cool down duration. Default is `10m`. If the delay (cooldown) value is set too long, there could be complaints that the Horizontal Pod Autoscaler is not responsive to workload changes. However, if the delay value is set too short, the scale of the replicas set may keep thrashing as usual.
"""
return pulumi.get(self, "cool_down_duration")
@property
@pulumi.getter(name="gpuUtilizationThreshold")
def gpu_utilization_threshold(self) -> pulumi.Output[Optional[str]]:
"""
The scale-in threshold for GPU instance. Default is `0.5`.
"""
return pulumi.get(self, "gpu_utilization_threshold")
@property
@pulumi.getter(name="scanInterval")
def scan_interval(self) -> pulumi.Output[Optional[str]]:
"""
The scan interval. Default is `30s`
"""
return pulumi.get(self, "scan_interval")
@property
@pulumi.getter(name="unneededDuration")
def unneeded_duration(self) -> pulumi.Output[Optional[str]]:
"""
The unneeded duration. Default is `10m`.
"""
return pulumi.get(self, "unneeded_duration")
@property
@pulumi.getter(name="utilizationThreshold")
def utilization_threshold(self) -> pulumi.Output[Optional[str]]:
"""
The scale-in threshold. Default is `0.5`.
"""
return pulumi.get(self, "utilization_threshold")
| 49.146982
| 346
| 0.674126
| 2,231
| 18,725
| 5.417302
| 0.074854
| 0.074632
| 0.092669
| 0.098296
| 0.861824
| 0.850323
| 0.847013
| 0.837167
| 0.832947
| 0.815241
| 0
| 0.004915
| 0.228571
| 18,725
| 380
| 347
| 49.276316
| 0.831776
| 0.306595
| 0
| 0.800866
| 1
| 0
| 0.121687
| 0.045212
| 0
| 0
| 0
| 0
| 0
| 1
| 0.160173
| false
| 0.004329
| 0.021645
| 0
| 0.277056
| 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
|
45742a24f20885c2c8c64c589d971fc9becac38e
| 11,501
|
py
|
Python
|
temporal-difference/Temporal_Difference_Solution.py
|
odellus/deep-reinforcement-learning
|
4aa4a35b776311e42f0af77876d56d38af9d0dde
|
[
"MIT"
] | null | null | null |
temporal-difference/Temporal_Difference_Solution.py
|
odellus/deep-reinforcement-learning
|
4aa4a35b776311e42f0af77876d56d38af9d0dde
|
[
"MIT"
] | null | null | null |
temporal-difference/Temporal_Difference_Solution.py
|
odellus/deep-reinforcement-learning
|
4aa4a35b776311e42f0af77876d56d38af9d0dde
|
[
"MIT"
] | null | null | null |
import sys
import gym
import numpy as np
import random
import math
from collections import defaultdict, deque
import matplotlib.pyplot as plt
%matplotlib inline
import check_test
from plot_utils import plot_values
env = gym.make('CliffWalking-v0')
print(env.action_space)
print(env.observation_space)
# define the optimal state-value function
V_opt = np.zeros((4,12))
V_opt[0][0:13] = -np.arange(3, 15)[::-1]
V_opt[1][0:13] = -np.arange(3, 15)[::-1] + 1
V_opt[2][0:13] = -np.arange(3, 15)[::-1] + 2
V_opt[3][0] = -13
plot_values(V_opt)
def update_Q_sarsa(alpha, gamma, Q, state, action, reward, next_state=None, next_action=None):
"""Returns updated Q-value for the most recent experience."""
current = Q[state][action] # estimate in Q-table (for current state, action pair)
# get value of state, action pair at next time step
Qsa_next = Q[next_state][next_action] if next_state is not None else 0
target = reward + (gamma * Qsa_next) # construct TD target
new_value = current + (alpha * (target - current)) # get updated value
return new_value
def epsilon_greedy(Q, state, nA, eps):
"""Selects epsilon-greedy action for supplied state.
Params
======
Q (dictionary): action-value function
state (int): current state
nA (int): number actions in the environment
eps (float): epsilon
"""
if random.random() > eps: # select greedy action with probability epsilon
return np.argmax(Q[state])
else: # otherwise, select an action randomly
return random.choice(np.arange(env.action_space.n))
def sarsa(env, num_episodes, alpha, gamma=1.0, plot_every=100):
nA = env.action_space.n # number of actions
Q = defaultdict(lambda: np.zeros(nA)) # initialize empty dictionary of arrays
# monitor performance
tmp_scores = deque(maxlen=plot_every) # deque for keeping track of scores
avg_scores = deque(maxlen=num_episodes) # average scores over every plot_every episodes
for i_episode in range(1, num_episodes+1):
# monitor progress
if i_episode % 100 == 0:
print("\rEpisode {}/{}".format(i_episode, num_episodes), end="")
sys.stdout.flush()
score = 0 # initialize score
state = env.reset() # start episode
eps = 1.0 / i_episode # set value of epsilon
action = epsilon_greedy(Q, state, nA, eps) # epsilon-greedy action selection
while True:
next_state, reward, done, info = env.step(action) # take action A, observe R, S'
score += reward # add reward to agent's score
if not done:
next_action = epsilon_greedy(Q, next_state, nA, eps) # epsilon-greedy action
Q[state][action] = update_Q_sarsa(alpha, gamma, Q, \
state, action, reward, next_state, next_action)
state = next_state # S <- S'
action = next_action # A <- A'
if done:
Q[state][action] = update_Q_sarsa(alpha, gamma, Q, \
state, action, reward)
tmp_scores.append(score) # append score
break
if (i_episode % plot_every == 0):
avg_scores.append(np.mean(tmp_scores))
# plot performance
plt.plot(np.linspace(0,num_episodes,len(avg_scores),endpoint=False), np.asarray(avg_scores))
plt.xlabel('Episode Number')
plt.ylabel('Average Reward (Over Next %d Episodes)' % plot_every)
plt.show()
# print best 100-episode performance
print(('Best Average Reward over %d Episodes: ' % plot_every), np.max(avg_scores))
return Q
# obtain the estimated optimal policy and corresponding action-value function
Q_sarsa = sarsa(env, 5000, .01)
# print the estimated optimal policy
policy_sarsa = np.array([np.argmax(Q_sarsa[key]) if key in Q_sarsa else -1 for key in np.arange(48)]).reshape(4,12)
check_test.run_check('td_control_check', policy_sarsa)
print("\nEstimated Optimal Policy (UP = 0, RIGHT = 1, DOWN = 2, LEFT = 3, N/A = -1):")
print(policy_sarsa)
# plot the estimated optimal state-value function
V_sarsa = ([np.max(Q_sarsa[key]) if key in Q_sarsa else 0 for key in np.arange(48)])
plot_values(V_sarsa)
def update_Q_sarsamax(alpha, gamma, Q, state, action, reward, next_state=None):
"""Returns updated Q-value for the most recent experience."""
current = Q[state][action] # estimate in Q-table (for current state, action pair)
Qsa_next = np.max(Q[next_state]) if next_state is not None else 0 # value of next state
target = reward + (gamma * Qsa_next) # construct TD target
new_value = current + (alpha * (target - current)) # get updated value
return new_value
def q_learning(env, num_episodes, alpha, gamma=1.0, plot_every=100):
"""Q-Learning - TD Control
Params
======
num_episodes (int): number of episodes to run the algorithm
alpha (float): learning rate
gamma (float): discount factor
plot_every (int): number of episodes to use when calculating average score
"""
nA = env.action_space.n # number of actions
Q = defaultdict(lambda: np.zeros(nA)) # initialize empty dictionary of arrays
# monitor performance
tmp_scores = deque(maxlen=plot_every) # deque for keeping track of scores
avg_scores = deque(maxlen=num_episodes) # average scores over every plot_every episodes
for i_episode in range(1, num_episodes+1):
# monitor progress
if i_episode % 100 == 0:
print("\rEpisode {}/{}".format(i_episode, num_episodes), end="")
sys.stdout.flush()
score = 0 # initialize score
state = env.reset() # start episode
eps = 1.0 / i_episode # set value of epsilon
while True:
action = epsilon_greedy(Q, state, nA, eps) # epsilon-greedy action selection
next_state, reward, done, info = env.step(action) # take action A, observe R, S'
score += reward # add reward to agent's score
Q[state][action] = update_Q_sarsamax(alpha, gamma, Q, \
state, action, reward, next_state)
state = next_state # S <- S'
if done:
tmp_scores.append(score) # append score
break
if (i_episode % plot_every == 0):
avg_scores.append(np.mean(tmp_scores))
# plot performance
plt.plot(np.linspace(0,num_episodes,len(avg_scores),endpoint=False), np.asarray(avg_scores))
plt.xlabel('Episode Number')
plt.ylabel('Average Reward (Over Next %d Episodes)' % plot_every)
plt.show()
# print best 100-episode performance
print(('Best Average Reward over %d Episodes: ' % plot_every), np.max(avg_scores))
return Q
# obtain the estimated optimal policy and corresponding action-value function
Q_sarsamax = q_learning(env, 5000, .01)
# print the estimated optimal policy
policy_sarsamax = np.array([np.argmax(Q_sarsamax[key]) if key in Q_sarsamax else -1 for key in np.arange(48)]).reshape((4,12))
check_test.run_check('td_control_check', policy_sarsamax)
print("\nEstimated Optimal Policy (UP = 0, RIGHT = 1, DOWN = 2, LEFT = 3, N/A = -1):")
print(policy_sarsamax)
# plot the estimated optimal state-value function
plot_values([np.max(Q_sarsamax[key]) if key in Q_sarsamax else 0 for key in np.arange(48)])
def update_Q_expsarsa(alpha, gamma, nA, eps, Q, state, action, reward, next_state=None):
"""Returns updated Q-value for the most recent experience."""
current = Q[state][action] # estimate in Q-table (for current state, action pair)
policy_s = np.ones(nA) * eps / nA # current policy (for next state S')
policy_s[np.argmax(Q[next_state])] = 1 - eps + (eps / nA) # greedy action
Qsa_next = np.dot(Q[next_state], policy_s) # get value of state at next time step
target = reward + (gamma * Qsa_next) # construct target
new_value = current + (alpha * (target - current)) # get updated value
return new_value
def expected_sarsa(env, num_episodes, alpha, gamma=1.0, plot_every=100):
"""Expected SARSA - TD Control
Params
======
num_episodes (int): number of episodes to run the algorithm
alpha (float): step-size parameters for the update step
gamma (float): discount factor
plot_every (int): number of episodes to use when calculating average score
"""
nA = env.action_space.n # number of actions
Q = defaultdict(lambda: np.zeros(nA)) # initialize empty dictionary of arrays
# monitor performance
tmp_scores = deque(maxlen=plot_every) # deque for keeping track of scores
avg_scores = deque(maxlen=num_episodes) # average scores over every plot_every episodes
for i_episode in range(1, num_episodes+1):
# monitor progress
if i_episode % 100 == 0:
print("\rEpisode {}/{}".format(i_episode, num_episodes), end="")
sys.stdout.flush()
score = 0 # initialize score
state = env.reset() # start episode
eps = 0.005 # set value of epsilon
while True:
action = epsilon_greedy(Q, state, nA, eps) # epsilon-greedy action selection
next_state, reward, done, info = env.step(action) # take action A, observe R, S'
score += reward # add reward to agent's score
# update Q
Q[state][action] = update_Q_expsarsa(alpha, gamma, nA, eps, Q, \
state, action, reward, next_state)
state = next_state # S <- S'
if done:
tmp_scores.append(score) # append score
break
if (i_episode % plot_every == 0):
avg_scores.append(np.mean(tmp_scores))
# plot performance
plt.plot(np.linspace(0,num_episodes,len(avg_scores),endpoint=False), np.asarray(avg_scores))
plt.xlabel('Episode Number')
plt.ylabel('Average Reward (Over Next %d Episodes)' % plot_every)
plt.show()
# print best 100-episode performance
print(('Best Average Reward over %d Episodes: ' % plot_every), np.max(avg_scores))
return Q
# obtain the estimated optimal policy and corresponding action-value function
Q_expsarsa = expected_sarsa(env, 5000, 1)
# print the estimated optimal policy
policy_expsarsa = np.array([np.argmax(Q_expsarsa[key]) if key in Q_expsarsa else -1 for key in np.arange(48)]).reshape(4,12)
check_test.run_check('td_control_check', policy_expsarsa)
print("\nEstimated Optimal Policy (UP = 0, RIGHT = 1, DOWN = 2, LEFT = 3, N/A = -1):")
print(policy_expsarsa)
# plot the estimated optimal state-value function
plot_values([np.max(Q_expsarsa[key]) if key in Q_expsarsa else 0 for key in np.arange(48)])
| 48.527426
| 126
| 0.611599
| 1,537
| 11,501
| 4.450228
| 0.127521
| 0.027632
| 0.024561
| 0.018421
| 0.823977
| 0.807602
| 0.789766
| 0.777193
| 0.76155
| 0.723538
| 0
| 0.018905
| 0.287105
| 11,501
| 236
| 127
| 48.733051
| 0.815343
| 0.193722
| 0
| 0.626582
| 0
| 0.018987
| 0.074669
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.056962
| null | null | 0.088608
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
45b262529a06d5881e0050e837d6e3a2de125739
| 87,151
|
py
|
Python
|
etl_base/dags/sqlg_jobs_CMN.py
|
buckylee2019/sqlg-airflow
|
37610a23b99bea8d9fdc8b066a01736ff2ff0c9d
|
[
"Apache-2.0"
] | null | null | null |
etl_base/dags/sqlg_jobs_CMN.py
|
buckylee2019/sqlg-airflow
|
37610a23b99bea8d9fdc8b066a01736ff2ff0c9d
|
[
"Apache-2.0"
] | null | null | null |
etl_base/dags/sqlg_jobs_CMN.py
|
buckylee2019/sqlg-airflow
|
37610a23b99bea8d9fdc8b066a01736ff2ff0c9d
|
[
"Apache-2.0"
] | 1
|
2022-03-10T03:47:35.000Z
|
2022-03-10T03:47:35.000Z
|
# -*- coding: utf-8 -*-
# Author : Jesse Wei
# LastUpdate : 2020/10/04
# Impact : Jobs generated by SQLG
# Message : Humanity towards others, we live by sharing. Fear can hold you prisoner, only hope can set you free.
# from __future__ import print_function
import logging
import airflow
from datetime import datetime, timedelta
from airflow.operators.sensors import ExternalTaskSensor
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
from airflow.contrib.sensors.file_sensor import FileSensor
from airflow import models
from airflow.models import Variable
from acme.operators.sqlg_oracle import OracleOperatorWithTemplatedParams
from airflow.operators.oracle_operator import OracleOperator
# DB_NAME = 'DWH'
# JOB_TYPE=ODS-MAIN
my_taskid = "MV_HR_EMPMSF_H"
MV_HR_EMPMSF_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "MV_HR_EMPMSF_CN_H"
MV_HR_EMPMSF_CN_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "MV_HR_EMPMSF_VN_H"
MV_HR_EMPMSF_VN_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "HR_DEPMSF_H"
HR_DEPMSF_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "HR_DEPMSF_CN_H"
HR_DEPMSF_CN_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "HR_DEPMSF_VN_H"
HR_DEPMSF_VN_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "SDM_CODE"
SDM_CODE = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "SDM_DEPARTMENT_H"
SDM_DEPARTMENT_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=ODS-MAIN
my_taskid = "SDM_EMPLOYEE_H"
SDM_EMPLOYEE_H = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Tier1_OEM_Mapping_Table_WH"
ODS_UC_Tier1_OEM_Mapping_Table_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Tier1_OEM_Mapping_Table.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Tier1_OEM_Mapping_Table_STG"
UC_Tier1_OEM_Mapping_Table_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Tier1_OEM_Mapping_Table"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Tier1_OEM_Mapping_Table_LD"
ODS_UC_Tier1_OEM_Mapping_Table_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Tier1_OEM_Mapping_Table"
)
# JOB_TYPE=SQL
my_taskid = "UC_Tier1_OEM_Mapping_Table"
UC_Tier1_OEM_Mapping_Table = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Customer_Model_Name_WH"
ODS_UC_Customer_Model_Name_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Customer_Model_Name.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Customer_Model_Name_STG"
UC_Customer_Model_Name_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Customer_Model_Name"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Customer_Model_Name_LD"
ODS_UC_Customer_Model_Name_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Customer_Model_Name"
)
# JOB_TYPE=SQL
my_taskid = "UC_Customer_Model_Name"
UC_Customer_Model_Name = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Pre_Project_information_WH"
ODS_UC_Pre_Project_information_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Pre_Project_information.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Pre_Project_information_STG"
UC_Pre_Project_information_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Pre_Project_information"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Pre_Project_information_LD"
ODS_UC_Pre_Project_information_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Pre_Project_information"
)
# JOB_TYPE=SQL
my_taskid = "UC_Pre_Project_information"
UC_Pre_Project_information = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Premium_Freight_WH"
ODS_UC_Premium_Freight_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Premium_Freight.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Premium_Freight_STG"
UC_Premium_Freight_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Premium_Freight"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Premium_Freight_LD"
ODS_UC_Premium_Freight_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Premium_Freight"
)
# JOB_TYPE=SQL
my_taskid = "UC_Premium_Freight"
UC_Premium_Freight = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_RFQ_Freight_Estimate_MAP_WH"
ODS_UC_RFQ_Freight_Estimate_MAP_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_RFQ_Freight_Estimate_MAP.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_RFQ_Freight_Estimate_MAP_STG"
UC_RFQ_Freight_Estimate_MAP_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_RFQ_Freight_Estimate_MAP"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_RFQ_Freight_Estimate_MAP_LD"
ODS_UC_RFQ_Freight_Estimate_MAP_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_RFQ_Freight_Estimate_MAP"
)
# JOB_TYPE=SQL
my_taskid = "UC_RFQ_Freight_Estimate_MAP"
UC_RFQ_Freight_Estimate_MAP = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_RFQ_Critical_Parts_MAP_WH"
ODS_UC_RFQ_Critical_Parts_MAP_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_RFQ_Critical_Parts_MAP.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_RFQ_Critical_Parts_MAP_STG"
UC_RFQ_Critical_Parts_MAP_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_RFQ_Critical_Parts_MAP"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_RFQ_Critical_Parts_MAP_LD"
ODS_UC_RFQ_Critical_Parts_MAP_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_RFQ_Critical_Parts_MAP"
)
# JOB_TYPE=SQL
my_taskid = "UC_RFQ_Critical_Parts_MAP"
UC_RFQ_Critical_Parts_MAP = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Company_and_Background_Check_WH"
ODS_UC_Company_and_Background_Check_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Company_and_Background_Check.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Company_and_Background_Check_STG"
UC_Company_and_Background_Check_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Company_and_Background_Check"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Company_and_Background_Check_LD"
ODS_UC_Company_and_Background_Check_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Company_and_Background_Check"
)
# JOB_TYPE=SQL
my_taskid = "UC_Company_and_Background_Check"
UC_Company_and_Background_Check = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Average_Antenna_of_Notebook_WH"
ODS_UC_Average_Antenna_of_Notebook_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Average_Antenna_of_Notebook.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Average_Antenna_of_Notebook_STG"
UC_Average_Antenna_of_Notebook_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Average_Antenna_of_Notebook"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Average_Antenna_of_Notebook_LD"
ODS_UC_Average_Antenna_of_Notebook_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Average_Antenna_of_Notebook"
)
# JOB_TYPE=SQL
my_taskid = "UC_Average_Antenna_of_Notebook"
UC_Average_Antenna_of_Notebook = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Customer_PO_Management_WH"
ODS_UC_Customer_PO_Management_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Customer_PO_Management.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Customer_PO_Management_STG"
UC_Customer_PO_Management_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Customer_PO_Management"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Customer_PO_Management_LD"
ODS_UC_Customer_PO_Management_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Customer_PO_Management"
)
# JOB_TYPE=SQL
my_taskid = "UC_Customer_PO_Management"
UC_Customer_PO_Management = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NC_Customer_Rebate_PN_WH"
ODS_UC_NC_Customer_Rebate_PN_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NC_Customer_Rebate_PN.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NC_Customer_Rebate_PN_STG"
UC_NC_Customer_Rebate_PN_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NC_Customer_Rebate_PN"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NC_Customer_Rebate_PN_LD"
ODS_UC_NC_Customer_Rebate_PN_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NC_Customer_Rebate_PN"
)
# JOB_TYPE=SQL
my_taskid = "UC_NC_Customer_Rebate_PN"
UC_NC_Customer_Rebate_PN = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NC_Customer_Rebate_PN_WH"
ODS_UC_NC_Customer_Rebate_PN_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NC_Customer_Rebate_PN.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NC_Customer_Rebate_PN_STG"
UC_NC_Customer_Rebate_PN_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NC_Customer_Rebate_PN"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NC_Customer_Rebate_PN_LD"
ODS_UC_NC_Customer_Rebate_PN_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NC_Customer_Rebate_PN"
)
# JOB_TYPE=SQL
my_taskid = "UC_NC_Customer_Rebate_PN"
UC_NC_Customer_Rebate_PN = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Risk_Shipment_Weekly_WH"
ODS_UC_Risk_Shipment_Weekly_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Risk_Shipment_Weekly.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Risk_Shipment_Weekly_STG"
UC_Risk_Shipment_Weekly_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Risk_Shipment_Weekly"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Risk_Shipment_Weekly_LD"
ODS_UC_Risk_Shipment_Weekly_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Risk_Shipment_Weekly"
)
# JOB_TYPE=SQL
my_taskid = "UC_Risk_Shipment_Weekly"
UC_Risk_Shipment_Weekly = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NC_ROYALTY_REPORT_WH"
ODS_UC_NC_ROYALTY_REPORT_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NC_ROYALTY_REPORT.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NC_ROYALTY_REPORT_STG"
UC_NC_ROYALTY_REPORT_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NC_ROYALTY_REPORT"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NC_ROYALTY_REPORT_LD"
ODS_UC_NC_ROYALTY_REPORT_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NC_ROYALTY_REPORT"
)
# JOB_TYPE=SQL
my_taskid = "UC_NC_ROYALTY_REPORT"
UC_NC_ROYALTY_REPORT = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NC_ROYALTY_REPORT_WH"
ODS_UC_NC_ROYALTY_REPORT_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NC_ROYALTY_REPORT.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NC_ROYALTY_REPORT_STG"
UC_NC_ROYALTY_REPORT_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NC_ROYALTY_REPORT"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NC_ROYALTY_REPORT_LD"
ODS_UC_NC_ROYALTY_REPORT_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NC_ROYALTY_REPORT"
)
# JOB_TYPE=SQL
my_taskid = "UC_NC_ROYALTY_REPORT"
UC_NC_ROYALTY_REPORT = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UG_PIPELINE_PROJECT_CONVERSION_WH"
ODS_UG_PIPELINE_PROJECT_CONVERSION_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/GBD/UG_PIPELINE_PROJECT_CONVERSION.D"
)
# JOB_TYPE=ISQL
my_taskid = "UG_PIPELINE_PROJECT_CONVERSION_STG"
UG_PIPELINE_PROJECT_CONVERSION_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UG_PIPELINE_PROJECT_CONVERSION"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UG_PIPELINE_PROJECT_CONVERSION_LD"
ODS_UG_PIPELINE_PROJECT_CONVERSION_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD GBD UG_PIPELINE_PROJECT_CONVERSION"
)
# JOB_TYPE=SQL
my_taskid = "UG_PIPELINE_PROJECT_CONVERSION"
UG_PIPELINE_PROJECT_CONVERSION = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_SENIORITY_WH"
ODS_UH_SENIORITY_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_SENIORITY.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_SENIORITY_STG"
UH_SENIORITY_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_SENIORITY"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_SENIORITY_LD"
ODS_UH_SENIORITY_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_SENIORITY"
)
# JOB_TYPE=SQL
my_taskid = "UH_SENIORITY"
UH_SENIORITY = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_HEADCOUNT_BUDGET_WH"
ODS_UH_HEADCOUNT_BUDGET_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_HEADCOUNT_BUDGET.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_HEADCOUNT_BUDGET_STG"
UH_HEADCOUNT_BUDGET_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_HEADCOUNT_BUDGET"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_HEADCOUNT_BUDGET_LD"
ODS_UH_HEADCOUNT_BUDGET_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_HEADCOUNT_BUDGET"
)
# JOB_TYPE=SQL
my_taskid = "UH_HEADCOUNT_BUDGET"
UH_HEADCOUNT_BUDGET = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_RDEXPENSE_WH"
ODS_UH_RDEXPENSE_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_RDEXPENSE.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_RDEXPENSE_STG"
UH_RDEXPENSE_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_RDEXPENSE"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_RDEXPENSE_LD"
ODS_UH_RDEXPENSE_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_RDEXPENSE"
)
# JOB_TYPE=SQL
my_taskid = "UH_RDEXPENSE"
UH_RDEXPENSE = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_WORKPLACE_MAPPING_WH"
ODS_UH_WORKPLACE_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_WORKPLACE_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_WORKPLACE_MAPPING_STG"
UH_WORKPLACE_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_WORKPLACE_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_WORKPLACE_MAPPING_LD"
ODS_UH_WORKPLACE_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_WORKPLACE_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_WORKPLACE_MAPPING"
UH_WORKPLACE_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_WORKLOCATION_WH"
ODS_UH_WORKLOCATION_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_WORKLOCATION.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_WORKLOCATION_STG"
UH_WORKLOCATION_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_WORKLOCATION"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_WORKLOCATION_LD"
ODS_UH_WORKLOCATION_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_WORKLOCATION"
)
# JOB_TYPE=SQL
my_taskid = "UH_WORKLOCATION"
UH_WORKLOCATION = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_WORKLOCATION_MAPPING_WH"
ODS_UH_WORKLOCATION_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_WORKLOCATION_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_WORKLOCATION_MAPPING_STG"
UH_WORKLOCATION_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_WORKLOCATION_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_WORKLOCATION_MAPPING_LD"
ODS_UH_WORKLOCATION_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_WORKLOCATION_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_WORKLOCATION_MAPPING"
UH_WORKLOCATION_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_DEPTABBRE_BU_MAPPING_WH"
ODS_UH_DEPTABBRE_BU_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_DEPTABBRE_BU_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_DEPTABBRE_BU_MAPPING_STG"
UH_DEPTABBRE_BU_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_DEPTABBRE_BU_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_DEPTABBRE_BU_MAPPING_LD"
ODS_UH_DEPTABBRE_BU_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_DEPTABBRE_BU_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_DEPTABBRE_BU_MAPPING"
UH_DEPTABBRE_BU_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_DEPTABBRE_WH"
ODS_UH_DEPTABBRE_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_DEPTABBRE.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_DEPTABBRE_STG"
UH_DEPTABBRE_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_DEPTABBRE"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_DEPTABBRE_LD"
ODS_UH_DEPTABBRE_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_DEPTABBRE"
)
# JOB_TYPE=SQL
my_taskid = "UH_DEPTABBRE"
UH_DEPTABBRE = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_DEPTUNIT_MAPPING_WH"
ODS_UH_DEPTUNIT_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_DEPTUNIT_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_DEPTUNIT_MAPPING_STG"
UH_DEPTUNIT_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_DEPTUNIT_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_DEPTUNIT_MAPPING_LD"
ODS_UH_DEPTUNIT_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_DEPTUNIT_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_DEPTUNIT_MAPPING"
UH_DEPTUNIT_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_PERSONNEL_CATEGORY_WH"
ODS_UH_PERSONNEL_CATEGORY_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_PERSONNEL_CATEGORY.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_PERSONNEL_CATEGORY_STG"
UH_PERSONNEL_CATEGORY_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_PERSONNEL_CATEGORY"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_PERSONNEL_CATEGORY_LD"
ODS_UH_PERSONNEL_CATEGORY_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_PERSONNEL_CATEGORY"
)
# JOB_TYPE=SQL
my_taskid = "UH_PERSONNEL_CATEGORY"
UH_PERSONNEL_CATEGORY = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_PERSONNEL_CATEGORY_MAPPING_WH"
ODS_UH_PERSONNEL_CATEGORY_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_PERSONNEL_CATEGORY_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_PERSONNEL_CATEGORY_MAPPING_STG"
UH_PERSONNEL_CATEGORY_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_PERSONNEL_CATEGORY_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_PERSONNEL_CATEGORY_MAPPING_LD"
ODS_UH_PERSONNEL_CATEGORY_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_PERSONNEL_CATEGORY_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_PERSONNEL_CATEGORY_MAPPING"
UH_PERSONNEL_CATEGORY_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_PERSONNEL_SUBCATE_MAPPING_WH"
ODS_UH_PERSONNEL_SUBCATE_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_PERSONNEL_SUBCATE_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_PERSONNEL_SUBCATE_MAPPING_STG"
UH_PERSONNEL_SUBCATE_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_PERSONNEL_SUBCATE_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_PERSONNEL_SUBCATE_MAPPING_LD"
ODS_UH_PERSONNEL_SUBCATE_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_PERSONNEL_SUBCATE_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_PERSONNEL_SUBCATE_MAPPING"
UH_PERSONNEL_SUBCATE_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_STAFFSTATUS_WH"
ODS_UH_STAFFSTATUS_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_STAFFSTATUS.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_STAFFSTATUS_STG"
UH_STAFFSTATUS_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_STAFFSTATUS"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_STAFFSTATUS_LD"
ODS_UH_STAFFSTATUS_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_STAFFSTATUS"
)
# JOB_TYPE=SQL
my_taskid = "UH_STAFFSTATUS"
UH_STAFFSTATUS = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_STAFFSTATUS_TOBE_ONBOARD_WH"
ODS_UH_STAFFSTATUS_TOBE_ONBOARD_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_STAFFSTATUS_TOBE_ONBOARD.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_STAFFSTATUS_TOBE_ONBOARD_STG"
UH_STAFFSTATUS_TOBE_ONBOARD_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_STAFFSTATUS_TOBE_ONBOARD"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_STAFFSTATUS_TOBE_ONBOARD_LD"
ODS_UH_STAFFSTATUS_TOBE_ONBOARD_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_STAFFSTATUS_TOBE_ONBOARD"
)
# JOB_TYPE=SQL
my_taskid = "UH_STAFFSTATUS_TOBE_ONBOARD"
UH_STAFFSTATUS_TOBE_ONBOARD = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_GRADE_MAPPING_WH"
ODS_UH_GRADE_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_GRADE_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_GRADE_MAPPING_STG"
UH_GRADE_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_GRADE_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_GRADE_MAPPING_LD"
ODS_UH_GRADE_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_GRADE_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_GRADE_MAPPING"
UH_GRADE_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UH_EDUCATION_MAPPING_WH"
ODS_UH_EDUCATION_MAPPING_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/HRM/UH_EDUCATION_MAPPING.D"
)
# JOB_TYPE=ISQL
my_taskid = "UH_EDUCATION_MAPPING_STG"
UH_EDUCATION_MAPPING_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UH_EDUCATION_MAPPING"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UH_EDUCATION_MAPPING_LD"
ODS_UH_EDUCATION_MAPPING_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD HRM UH_EDUCATION_MAPPING"
)
# JOB_TYPE=SQL
my_taskid = "UH_EDUCATION_MAPPING"
UH_EDUCATION_MAPPING = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_RiskShipmentUpload_WH"
ODS_UM_RiskShipmentUpload_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_RiskShipmentUpload.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_RiskShipmentUpload_STG"
UM_RiskShipmentUpload_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_RiskShipmentUpload"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_RiskShipmentUpload_LD"
ODS_UM_RiskShipmentUpload_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_RiskShipmentUpload"
)
# JOB_TYPE=SQL
my_taskid = "UM_RiskShipmentUpload"
UM_RiskShipmentUpload = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_SMT_TIME_WH"
ODS_UM_SMT_TIME_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_SMT_TIME.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_SMT_TIME_STG"
UM_SMT_TIME_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_SMT_TIME"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_SMT_TIME_LD"
ODS_UM_SMT_TIME_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_SMT_TIME"
)
# JOB_TYPE=SQL
my_taskid = "UM_SMT_TIME"
UM_SMT_TIME = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_SMT_WH"
ODS_UM_SMT_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_SMT.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_SMT_STG"
UM_SMT_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_SMT"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_SMT_LD"
ODS_UM_SMT_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_SMT"
)
# JOB_TYPE=SQL
my_taskid = "UM_SMT"
UM_SMT = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_ForecastUploadModel_WH"
ODS_UM_ForecastUploadModel_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_ForecastUploadModel.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_ForecastUploadModel_STG"
UM_ForecastUploadModel_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_ForecastUploadModel"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_ForecastUploadModel_LD"
ODS_UM_ForecastUploadModel_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_ForecastUploadModel"
)
# JOB_TYPE=SQL
my_taskid = "UM_ForecastUploadModel"
UM_ForecastUploadModel = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_Shift_WH"
ODS_UM_Shift_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_Shift.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_Shift_STG"
UM_Shift_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_Shift"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_Shift_LD"
ODS_UM_Shift_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_Shift"
)
# JOB_TYPE=SQL
my_taskid = "UM_Shift"
UM_Shift = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_Resource_Mapping_Process_WH"
ODS_UM_Resource_Mapping_Process_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_Resource_Mapping_Process.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_Resource_Mapping_Process_STG"
UM_Resource_Mapping_Process_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_Resource_Mapping_Process"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_Resource_Mapping_Process_LD"
ODS_UM_Resource_Mapping_Process_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_Resource_Mapping_Process"
)
# JOB_TYPE=SQL
my_taskid = "UM_Resource_Mapping_Process"
UM_Resource_Mapping_Process = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_Work_in_Process_Category_WH"
ODS_UM_Work_in_Process_Category_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_Work_in_Process_Category.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_Work_in_Process_Category_STG"
UM_Work_in_Process_Category_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_Work_in_Process_Category"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_Work_in_Process_Category_LD"
ODS_UM_Work_in_Process_Category_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_Work_in_Process_Category"
)
# JOB_TYPE=SQL
my_taskid = "UM_Work_in_Process_Category"
UM_Work_in_Process_Category = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UM_AssBuMapping_WH"
ODS_UM_AssBuMapping_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/MFG/UM_AssBuMapping.D"
)
# JOB_TYPE=ISQL
my_taskid = "UM_AssBuMapping_STG"
UM_AssBuMapping_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UM_AssBuMapping"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UM_AssBuMapping_LD"
ODS_UM_AssBuMapping_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD MFG UM_AssBuMapping"
)
# JOB_TYPE=SQL
my_taskid = "UM_AssBuMapping"
UM_AssBuMapping = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UP_consign_vendor_prod_map_WH"
ODS_UP_consign_vendor_prod_map_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/PRD/UP_consign_vendor_prod_map.D"
)
# JOB_TYPE=ISQL
my_taskid = "UP_consign_vendor_prod_map_STG"
UP_consign_vendor_prod_map_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UP_consign_vendor_prod_map"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UP_consign_vendor_prod_map_LD"
ODS_UP_consign_vendor_prod_map_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD PRD UP_consign_vendor_prod_map"
)
# JOB_TYPE=SQL
my_taskid = "UP_consign_vendor_prod_map"
UP_consign_vendor_prod_map = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UP_Expense_Budget_prod_map_WH"
ODS_UP_Expense_Budget_prod_map_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/PRD/UP_Expense_Budget_prod_map.D"
)
# JOB_TYPE=ISQL
my_taskid = "UP_Expense_Budget_prod_map_STG"
UP_Expense_Budget_prod_map_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UP_Expense_Budget_prod_map"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UP_Expense_Budget_prod_map_LD"
ODS_UP_Expense_Budget_prod_map_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD PRD UP_Expense_Budget_prod_map"
)
# JOB_TYPE=SQL
my_taskid = "UP_Expense_Budget_prod_map"
UP_Expense_Budget_prod_map = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_MtlScrapCost_WH"
ODS_UQ_MtlScrapCost_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_MtlScrapCost.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_MtlScrapCost_STG"
UQ_MtlScrapCost_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_MtlScrapCost"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_MtlScrapCost_LD"
ODS_UQ_MtlScrapCost_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_MtlScrapCost"
)
# JOB_TYPE=SQL
my_taskid = "UQ_MtlScrapCost"
UQ_MtlScrapCost = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_CSDCustomerPaidService_WH"
ODS_UQ_CSDCustomerPaidService_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_CSDCustomerPaidService.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_CSDCustomerPaidService_STG"
UQ_CSDCustomerPaidService_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_CSDCustomerPaidService"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_CSDCustomerPaidService_LD"
ODS_UQ_CSDCustomerPaidService_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_CSDCustomerPaidService"
)
# JOB_TYPE=SQL
my_taskid = "UQ_CSDCustomerPaidService"
UQ_CSDCustomerPaidService = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_CSDPlannedShippingQty_WH"
ODS_UQ_CSDPlannedShippingQty_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_CSDPlannedShippingQty.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_CSDPlannedShippingQty_STG"
UQ_CSDPlannedShippingQty_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_CSDPlannedShippingQty"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_CSDPlannedShippingQty_LD"
ODS_UQ_CSDPlannedShippingQty_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_CSDPlannedShippingQty"
)
# JOB_TYPE=SQL
my_taskid = "UQ_CSDPlannedShippingQty"
UQ_CSDPlannedShippingQty = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_InventoryOwner_WH"
ODS_UQ_InventoryOwner_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_InventoryOwner.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_InventoryOwner_STG"
UQ_InventoryOwner_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_InventoryOwner"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_InventoryOwner_LD"
ODS_UQ_InventoryOwner_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_InventoryOwner"
)
# JOB_TYPE=SQL
my_taskid = "UQ_InventoryOwner"
UQ_InventoryOwner = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_OnSiteReworkQty_WH"
ODS_UQ_OnSiteReworkQty_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_OnSiteReworkQty.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_OnSiteReworkQty_STG"
UQ_OnSiteReworkQty_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_OnSiteReworkQty"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_OnSiteReworkQty_LD"
ODS_UQ_OnSiteReworkQty_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_OnSiteReworkQty"
)
# JOB_TYPE=SQL
my_taskid = "UQ_OnSiteReworkQty"
UQ_OnSiteReworkQty = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_QualityReturnQty_WH"
ODS_UQ_QualityReturnQty_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_QualityReturnQty.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_QualityReturnQty_STG"
UQ_QualityReturnQty_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_QualityReturnQty"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_QualityReturnQty_LD"
ODS_UQ_QualityReturnQty_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_QualityReturnQty"
)
# JOB_TYPE=SQL
my_taskid = "UQ_QualityReturnQty"
UQ_QualityReturnQty = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_JQMList_WH"
ODS_UQ_JQMList_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_JQMList.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_JQMList_STG"
UQ_JQMList_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_JQMList"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_JQMList_LD"
ODS_UQ_JQMList_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_JQMList"
)
# JOB_TYPE=SQL
my_taskid = "UQ_JQMList"
UQ_JQMList = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_S1_WH"
ODS_UQ_IQC_DailyManpower_S1_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_S1.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_S1_STG"
UQ_IQC_DailyManpower_S1_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_S1"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_S1_LD"
ODS_UQ_IQC_DailyManpower_S1_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_S1"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_S1"
UQ_IQC_DailyManpower_S1 = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_NQJ_WH"
ODS_UQ_IQC_DailyManpower_NQJ_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_NQJ.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_NQJ_STG"
UQ_IQC_DailyManpower_NQJ_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_NQJ"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_NQJ_LD"
ODS_UQ_IQC_DailyManpower_NQJ_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_NQJ"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_NQJ"
UQ_IQC_DailyManpower_NQJ = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_NYC_WH"
ODS_UQ_IQC_DailyManpower_NYC_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_NYC.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_NYC_STG"
UQ_IQC_DailyManpower_NYC_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_NYC"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_NYC_LD"
ODS_UQ_IQC_DailyManpower_NYC_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_NYC"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_NYC"
UQ_IQC_DailyManpower_NYC = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_NQX_WH"
ODS_UQ_IQC_DailyManpower_NQX_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_NQX.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_NQX_STG"
UQ_IQC_DailyManpower_NQX_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_NQX"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_NQX_LD"
ODS_UQ_IQC_DailyManpower_NQX_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_NQX"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_NQX"
UQ_IQC_DailyManpower_NQX = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_NVN_WH"
ODS_UQ_IQC_DailyManpower_NVN_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_NVN.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_NVN_STG"
UQ_IQC_DailyManpower_NVN_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_NVN"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_NVN_LD"
ODS_UQ_IQC_DailyManpower_NVN_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_NVN"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_NVN"
UQ_IQC_DailyManpower_NVN = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_IQC_DailyManpower_S2_WH"
ODS_UQ_IQC_DailyManpower_S2_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_IQC_DailyManpower_S2.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_IQC_DailyManpower_S2_STG"
UQ_IQC_DailyManpower_S2_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_IQC_DailyManpower_S2"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_IQC_DailyManpower_S2_LD"
ODS_UQ_IQC_DailyManpower_S2_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_IQC_DailyManpower_S2"
)
# JOB_TYPE=SQL
my_taskid = "UQ_IQC_DailyManpower_S2"
UQ_IQC_DailyManpower_S2 = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_InventoryOwnerList_WH"
ODS_UQ_InventoryOwnerList_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_InventoryOwnerList.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_InventoryOwnerList_STG"
UQ_InventoryOwnerList_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_InventoryOwnerList"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_InventoryOwnerList_LD"
ODS_UQ_InventoryOwnerList_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_InventoryOwnerList"
)
# JOB_TYPE=SQL
my_taskid = "UQ_InventoryOwnerList"
UQ_InventoryOwnerList = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_MoPartType_WH"
ODS_UQ_MoPartType_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_MoPartType.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_MoPartType_STG"
UQ_MoPartType_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_MoPartType"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_MoPartType_LD"
ODS_UQ_MoPartType_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_MoPartType"
)
# JOB_TYPE=SQL
my_taskid = "UQ_MoPartType"
UQ_MoPartType = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_Escape_WH"
ODS_UQ_Escape_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_Escape.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_Escape_STG"
UQ_Escape_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_Escape"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_Escape_LD"
ODS_UQ_Escape_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_Escape"
)
# JOB_TYPE=SQL
my_taskid = "UQ_Escape"
UQ_Escape = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UG_CUST_WH"
ODS_UG_CUST_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/UG_CUST.D"
)
# JOB_TYPE=ISQL
my_taskid = "UG_CUST_STG"
UG_CUST_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UG_CUST"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UG_CUST_LD"
ODS_UG_CUST_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM UG_CUST"
)
# JOB_TYPE=SQL
my_taskid = "UG_CUST"
UG_CUST = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UG_RFQ_WH"
ODS_UG_RFQ_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/UG_RFQ.D"
)
# JOB_TYPE=ISQL
my_taskid = "UG_RFQ_STG"
UG_RFQ_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UG_RFQ"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UG_RFQ_LD"
ODS_UG_RFQ_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM UG_RFQ"
)
# JOB_TYPE=SQL
my_taskid = "UG_RFQ"
UG_RFQ = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_US_reason_code_WH"
ODS_US_reason_code_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/US_reason_code.D"
)
# JOB_TYPE=ISQL
my_taskid = "US_reason_code_STG"
US_reason_code_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.US_reason_code"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_US_reason_code_LD"
ODS_US_reason_code_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM US_reason_code"
)
# JOB_TYPE=SQL
my_taskid = "US_reason_code"
US_reason_code = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_US_scrap_reason_code_WH"
ODS_US_scrap_reason_code_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/US_scrap_reason_code.D"
)
# JOB_TYPE=ISQL
my_taskid = "US_scrap_reason_code_STG"
US_scrap_reason_code_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.US_scrap_reason_code"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_US_scrap_reason_code_LD"
ODS_US_scrap_reason_code_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM US_scrap_reason_code"
)
# JOB_TYPE=SQL
my_taskid = "US_scrap_reason_code"
US_scrap_reason_code = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_US_BOM_PRODUCT_LIST_WH"
ODS_US_BOM_PRODUCT_LIST_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/US_BOM_PRODUCT_LIST.D"
)
# JOB_TYPE=ISQL
my_taskid = "US_BOM_PRODUCT_LIST_STG"
US_BOM_PRODUCT_LIST_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.US_BOM_PRODUCT_LIST"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_US_BOM_PRODUCT_LIST_LD"
ODS_US_BOM_PRODUCT_LIST_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM US_BOM_PRODUCT_LIST"
)
# JOB_TYPE=SQL
my_taskid = "US_BOM_PRODUCT_LIST"
US_BOM_PRODUCT_LIST = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_US_POTransfer_WH"
ODS_US_POTransfer_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/US_POTransfer.D"
)
# JOB_TYPE=ISQL
my_taskid = "US_POTransfer_STG"
US_POTransfer_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.US_POTransfer"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_US_POTransfer_LD"
ODS_US_POTransfer_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM US_POTransfer"
)
# JOB_TYPE=SQL
my_taskid = "US_POTransfer"
US_POTransfer = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_US_ExcessonHandTransfer_WH"
ODS_US_ExcessonHandTransfer_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/SCM/US_ExcessonHandTransfer.D"
)
# JOB_TYPE=ISQL
my_taskid = "US_ExcessonHandTransfer_STG"
US_ExcessonHandTransfer_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.US_ExcessonHandTransfer"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_US_ExcessonHandTransfer_LD"
ODS_US_ExcessonHandTransfer_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD SCM US_ExcessonHandTransfer"
)
# JOB_TYPE=SQL
my_taskid = "US_ExcessonHandTransfer"
US_ExcessonHandTransfer = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_FaultInjectionRecord_WH"
ODS_UQ_FaultInjectionRecord_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_FaultInjectionRecord.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_FaultInjectionRecord_STG"
UQ_FaultInjectionRecord_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_FaultInjectionRecord"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_FaultInjectionRecord_LD"
ODS_UQ_FaultInjectionRecord_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_FaultInjectionRecord"
)
# JOB_TYPE=SQL
my_taskid = "UQ_FaultInjectionRecord"
UQ_FaultInjectionRecord = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_QSCANTrackingRecord_WH"
ODS_UQ_QSCANTrackingRecord_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_QSCANTrackingRecord.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_QSCANTrackingRecord_STG"
UQ_QSCANTrackingRecord_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_QSCANTrackingRecord"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_QSCANTrackingRecord_LD"
ODS_UQ_QSCANTrackingRecord_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_QSCANTrackingRecord"
)
# JOB_TYPE=SQL
my_taskid = "UQ_QSCANTrackingRecord"
UQ_QSCANTrackingRecord = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UQ_ModelMPInfo_WH"
ODS_UQ_ModelMPInfo_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/QAM/UQ_ModelMPInfo.D"
)
# JOB_TYPE=ISQL
my_taskid = "UQ_ModelMPInfo_STG"
UQ_ModelMPInfo_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UQ_ModelMPInfo"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UQ_ModelMPInfo_LD"
ODS_UQ_ModelMPInfo_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD QAM UQ_ModelMPInfo"
)
# JOB_TYPE=SQL
my_taskid = "UQ_ModelMPInfo"
UQ_ModelMPInfo = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Customer_Grouping_Map_WH"
ODS_UC_Customer_Grouping_Map_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Customer_Grouping_Map.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Customer_Grouping_Map_STG"
UC_Customer_Grouping_Map_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Customer_Grouping_Map"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Customer_Grouping_Map_LD"
ODS_UC_Customer_Grouping_Map_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Customer_Grouping_Map"
)
# JOB_TYPE=SQL
my_taskid = "UC_Customer_Grouping_Map"
UC_Customer_Grouping_Map = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Group_Customer_Location_WH"
ODS_UC_Group_Customer_Location_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Group_Customer_Location.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Group_Customer_Location_STG"
UC_Group_Customer_Location_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Group_Customer_Location"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Group_Customer_Location_LD"
ODS_UC_Group_Customer_Location_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Group_Customer_Location"
)
# JOB_TYPE=SQL
my_taskid = "UC_Group_Customer_Location"
UC_Group_Customer_Location = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Project_Decision_Customer_WH"
ODS_UC_Project_Decision_Customer_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Project_Decision_Customer.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Project_Decision_Customer_STG"
UC_Project_Decision_Customer_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Project_Decision_Customer"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Project_Decision_Customer_LD"
ODS_UC_Project_Decision_Customer_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Project_Decision_Customer"
)
# JOB_TYPE=SQL
my_taskid = "UC_Project_Decision_Customer"
UC_Project_Decision_Customer = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=SQL
my_taskid = "UC_NA_Customer_Sub_Group"
UC_NA_Customer_Sub_Group = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NA_Customer_Sub_Group_WH"
ODS_UC_NA_Customer_Sub_Group_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NA_Customer_Sub_Group.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NA_Customer_Sub_Group_STG"
UC_NA_Customer_Sub_Group_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NA_Customer_Sub_Group"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NA_Customer_Sub_Group_LD"
ODS_UC_NA_Customer_Sub_Group_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NA_Customer_Sub_Group"
)
# JOB_TYPE=SQL
my_taskid = "UC_NA_Customer_Sub_Group"
UC_NA_Customer_Sub_Group = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_NA_Customer_Sub_Group_WH"
ODS_UC_NA_Customer_Sub_Group_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_NA_Customer_Sub_Group.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_NA_Customer_Sub_Group_STG"
UC_NA_Customer_Sub_Group_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_NA_Customer_Sub_Group"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_NA_Customer_Sub_Group_LD"
ODS_UC_NA_Customer_Sub_Group_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_NA_Customer_Sub_Group"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Group_Customer_Industry_Type_WH"
ODS_UC_Group_Customer_Industry_Type_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Group_Customer_Industry_Type.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Group_Customer_Industry_Type_STG"
UC_Group_Customer_Industry_Type_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Group_Customer_Industry_Type"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Group_Customer_Industry_Type_LD"
ODS_UC_Group_Customer_Industry_Type_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Group_Customer_Industry_Type"
)
# JOB_TYPE=SQL
my_taskid = "UC_Group_Customer_Industry_Type"
UC_Group_Customer_Industry_Type = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Global_Telecom_Operator_WH"
ODS_UC_Global_Telecom_Operator_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Global_Telecom_Operator.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Global_Telecom_Operator_STG"
UC_Global_Telecom_Operator_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Global_Telecom_Operator"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Global_Telecom_Operator_LD"
ODS_UC_Global_Telecom_Operator_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Global_Telecom_Operator"
)
# JOB_TYPE=SQL
my_taskid = "UC_Global_Telecom_Operator"
UC_Global_Telecom_Operator = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Product_Mapping_Table_WH"
ODS_UC_Product_Mapping_Table_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Product_Mapping_Table.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Product_Mapping_Table_STG"
UC_Product_Mapping_Table_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Product_Mapping_Table"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Product_Mapping_Table_LD"
ODS_UC_Product_Mapping_Table_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Product_Mapping_Table"
)
# JOB_TYPE=SQL
my_taskid = "UC_Product_Mapping_Table"
UC_Product_Mapping_Table = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Market_Share_Market_Shipment_WH"
ODS_UC_Market_Share_Market_Shipment_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Market_Share_Market_Shipment.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Market_Share_Market_Shipment_STG"
UC_Market_Share_Market_Shipment_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Market_Share_Market_Shipment"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Market_Share_Market_Shipment_LD"
ODS_UC_Market_Share_Market_Shipment_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Market_Share_Market_Shipment"
)
# JOB_TYPE=SQL
my_taskid = "UC_Market_Share_Market_Shipment"
UC_Market_Share_Market_Shipment = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_WNC_BI_SHIPMENT_QTY_TABLE_WH"
ODS_UC_WNC_BI_SHIPMENT_QTY_TABLE_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_WNC_BI_SHIPMENT_QTY_TABLE.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_WNC_BI_SHIPMENT_QTY_TABLE_STG"
UC_WNC_BI_SHIPMENT_QTY_TABLE_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_WNC_BI_SHIPMENT_QTY_TABLE"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_WNC_BI_SHIPMENT_QTY_TABLE_LD"
ODS_UC_WNC_BI_SHIPMENT_QTY_TABLE_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_WNC_BI_SHIPMENT_QTY_TABLE"
)
# JOB_TYPE=SQL
my_taskid = "UC_WNC_BI_SHIPMENT_QTY_TABLE"
UC_WNC_BI_SHIPMENT_QTY_TABLE = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Product_Segment_Map_table_WH"
ODS_UC_Product_Segment_Map_table_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Product_Segment_Map_table.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Product_Segment_Map_table_STG"
UC_Product_Segment_Map_table_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Product_Segment_Map_table"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Product_Segment_Map_table_LD"
ODS_UC_Product_Segment_Map_table_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Product_Segment_Map_table"
)
# JOB_TYPE=SQL
my_taskid = "UC_Product_Segment_Map_table"
UC_Product_Segment_Map_table = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_Market_Tam_Product_Map_WH"
ODS_UC_Market_Tam_Product_Map_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_Market_Tam_Product_Map.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_Market_Tam_Product_Map_STG"
UC_Market_Tam_Product_Map_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_Market_Tam_Product_Map"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_Market_Tam_Product_Map_LD"
ODS_UC_Market_Tam_Product_Map_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_Market_Tam_Product_Map"
)
# JOB_TYPE=SQL
my_taskid = "UC_Market_Tam_Product_Map"
UC_Market_Tam_Product_Map = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
# JOB_TYPE=WATCH
my_taskid = "ODS_UC_SW_Centric_Product_Model_WH"
ODS_UC_SW_Centric_Product_Model_WH = FileSensor(
pool = "file_pool",
task_id=my_taskid,
filepath= "{{ var.value.DIR_SOURCE }}UPD/CUS/UC_SW_Centric_Product_Model.D"
)
# JOB_TYPE=ISQL
my_taskid = "UC_SW_Centric_Product_Model_STG"
UC_SW_Centric_Product_Model_STG = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
sql= "TRUNCATE TABLE STAGE.UC_SW_Centric_Product_Model"
)
# JOB_TYPE=ODS-UIMP
my_taskid = "ODS_UC_SW_Centric_Product_Model_LD"
ODS_UC_SW_Centric_Product_Model_LD = BashOperator(
task_id=my_taskid,
bash_command="{{var.value.DIR_BIN}}ods_ora_imp.sh {{var.value.ETLUSER}} {{var.value.ETLPWD}} {{var.value.DW_HOST}} {{var.value.DIR_ETLBASE}} {{ds_nodash}} UPD CUS UC_SW_Centric_Product_Model"
)
# JOB_TYPE=SQL
my_taskid = "UC_SW_Centric_Product_Model"
UC_SW_Centric_Product_Model = OracleOperatorWithTemplatedParams(
task_id=my_taskid,
parameters=({":END_DT_CHAR":"{{ ds_nodash }}"}),
sql= "Begin SQLEXT." + my_taskid + "_SP("+
":END_DT_CHAR"+
"); End;"
)
| 31.633757
| 199
| 0.724834
| 12,237
| 87,151
| 4.699518
| 0.020021
| 0.103916
| 0.045768
| 0.080093
| 0.91596
| 0.878834
| 0.81733
| 0.753756
| 0.704215
| 0.678636
| 0
| 0.000565
| 0.146906
| 87,151
| 2,754
| 200
| 31.645243
| 0.772919
| 0.060194
| 0
| 0.414878
| 1
| 0.03994
| 0.443837
| 0.2567
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.005492
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
45e737ac7de5814f8b7b1f6017fd978f392d6081
| 5,094
|
py
|
Python
|
tests/test_math_operations.py
|
Tiendil/pydicates
|
3667f1061c531dc2ee185412b7a538cec6d3e57b
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_math_operations.py
|
Tiendil/pydicates
|
3667f1061c531dc2ee185412b7a538cec6d3e57b
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_math_operations.py
|
Tiendil/pydicates
|
3667f1061c531dc2ee185412b7a538cec6d3e57b
|
[
"BSD-3-Clause"
] | null | null | null |
from hypothesis import given, assume
from pydicates import Context, MATH
from .helpers import P, simple_predicate, int_vector, number_vector
context = Context()
context.bulk_register(MATH)
context.register('simple_predicate', simple_predicate)
@given(inputs=number_vector(1))
def test_neg(inputs):
assert context(-P(0), inputs) == -inputs[0]
assert context(--P(0), inputs) == --inputs[0] # pylint: disable=E0107
assert context(--P(0), inputs) == inputs[0] # pylint: disable=E0107
assert context(---P(0), inputs) == -inputs[0] # pylint: disable=E0107
@given(inputs=number_vector(2))
def test_pos(inputs):
assert context(+P(0), inputs) == +inputs[0]
assert context(++P(0), inputs) == ++inputs[0] # pylint: disable=E0107
assert context(+++P(0), inputs) == inputs[0] # pylint: disable=E0107
@given(inputs=number_vector(2))
def test_add(inputs):
def test(a, b):
return a + b
assert context(P(0) + P(1), inputs) == test(*inputs)
assert context(P(0) + inputs[1], inputs) == test(*inputs)
assert context(inputs[0] + P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_sub(inputs):
def test(a, b):
return a - b
assert context(P(0) - P(1), inputs) == test(*inputs)
assert context(P(0) - inputs[1], inputs) == test(*inputs)
assert context(inputs[0] - P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_mul(inputs):
def test(a, b):
return a * b
assert context(P(0) * P(1), inputs) == test(*inputs)
assert context(P(0) * inputs[1], inputs) == test(*inputs)
assert context(inputs[0] * P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_matmul(inputs):
class FakeMatrix:
def __init__(self, value):
self.value = value
def __matmul__(self, other):
if self.__class__ is not other.__class__:
return NotImplemented
return FakeMatrix(self.value + other.value)
def __eq__(self, other):
return self.value == other.value
inputs = [FakeMatrix(value) for value in inputs]
def test(a, b):
return a @ b
assert context(P(0) @ P(1), inputs) == test(*inputs)
assert context(P(0) @ inputs[1], inputs) == test(*inputs)
assert context(inputs[0] @ P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_truediv(inputs):
assume(inputs[1] != 0)
def test(a, b):
return a / b
assert context(P(0) / P(1), inputs) == test(*inputs)
assert context(P(0) / inputs[1], inputs) == test(*inputs)
assert context(inputs[0] / P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_floordiv(inputs):
assume(inputs[1] != 0)
def test(a, b):
return a // b
assert context(P(0) // P(1), inputs) == test(*inputs)
assert context(P(0) // inputs[1], inputs) == test(*inputs)
assert context(inputs[0] // P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_mod(inputs):
assume(inputs[1] != 0)
def test(a, b):
return a % b
assert context(P(0) % P(1), inputs) == test(*inputs)
assert context(P(0) % inputs[1], inputs) == test(*inputs)
assert context(inputs[0] % P(1), inputs) == test(*inputs)
@given(inputs=number_vector(2))
def test_divmod(inputs):
assume(inputs[1] != 0)
def test(a, b):
return divmod(a, b)
assert context(divmod(P(0), P(1)), inputs) == test(*inputs)
assert context(divmod(P(0), inputs[1]), inputs) == test(*inputs)
assert context(divmod(inputs[0], P(1)), inputs) == test(*inputs)
@given(inputs=number_vector(2, min_value=-100, max_value=100))
def test_pow(inputs):
assume(all(a <= -1 or a >= 1 for a in inputs))
assume(inputs[1] >= 0 or inputs[0] > 0)
def test(a, b):
return a ** b
assert context(P(0) ** P(1), inputs) == test(*inputs)
assert context(P(0) ** inputs[1], inputs) == test(*inputs)
assert context(inputs[0] ** P(1), inputs) == test(*inputs)
@given(inputs=int_vector(2, min_value=-100, max_value=100))
def test_lshift(inputs):
assume(inputs[1] >= 0)
def test(a, b):
return a << b
assert context(P(0) << P(1), inputs) == test(*inputs)
assert context(P(0) << inputs[1], inputs) == test(*inputs)
assert context(inputs[0] << P(1), inputs) == test(*inputs)
@given(inputs=int_vector(2, min_value=-100, max_value=100))
def test_rshift(inputs):
assume(inputs[1] >= 0)
def test(a, b):
return a >> b
assert context(P(0) >> P(1), inputs) == test(*inputs)
assert context(P(0) >> inputs[1], inputs) == test(*inputs)
assert context(inputs[0] >> P(1), inputs) == test(*inputs)
@given(inputs=number_vector(6))
def test_chain(inputs):
assume(inputs[1] != 0)
assume(inputs[3] != 0)
def test(a, b, c, d, e, f):
return a % b + c / d - e - f
assert context(P(0) % P(1) + P(2) / P(3) - P(4) - P(5), inputs) == test(*inputs)
assert context(P(0) % inputs[1] + inputs[2] / P(3) - P(4) - P(5), inputs) == test(*inputs)
| 27.240642
| 94
| 0.607774
| 762
| 5,094
| 3.984252
| 0.091864
| 0.179842
| 0.184453
| 0.184783
| 0.807312
| 0.785244
| 0.775692
| 0.771739
| 0.771739
| 0.748353
| 0
| 0.041263
| 0.210247
| 5,094
| 186
| 95
| 27.387097
| 0.713398
| 0.021398
| 0
| 0.241667
| 0
| 0
| 0.003214
| 0
| 0
| 0
| 0
| 0
| 0.35
| 1
| 0.241667
| false
| 0
| 0.025
| 0.108333
| 0.4
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 10
|
b36eb784ead0e47d896b842f0e944ee212a26142
| 6,381
|
py
|
Python
|
bindings/python/ensmallen_graph/datasets/networkrepository/biodmela.py
|
caufieldjh/ensmallen_graph
|
14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a
|
[
"MIT"
] | null | null | null |
bindings/python/ensmallen_graph/datasets/networkrepository/biodmela.py
|
caufieldjh/ensmallen_graph
|
14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a
|
[
"MIT"
] | null | null | null |
bindings/python/ensmallen_graph/datasets/networkrepository/biodmela.py
|
caufieldjh/ensmallen_graph
|
14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a
|
[
"MIT"
] | null | null | null |
"""
This file offers the methods to automatically retrieve the graph bio-dmela.
The graph is automatically retrieved from the NetworkRepository repository.
Report
---------------------
At the time of rendering these methods (please see datetime below), the graph
had the following characteristics:
Datetime: 2021-02-03 22:30:40.791750
The undirected graph bio-dmela has 7393 nodes and 25569 unweighted edges,
of which none are self-loops. The graph is quite sparse as it has a density
of 0.00094 and is connected, as it has a single component. The graph median
node degree is 3, the mean node degree is 6.92 and the node degree mode
is 1. The top 5 most central nodes are 215 (degree 190), 663 (degree 149),
708 (degree 122), 209 (degree 115) and 76 (degree 113).
References
---------------------
Please cite the following if you use the data:
@inproceedings{nr,
title = {The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle = {AAAI},
url={http://networkrepository.com},
year={2015}
}
@article{singh2008-isorank-multi,
author = {Singh, Rohit and Xu, Jinbo and Berger, Bonnie},
title = {Global alignment of multiple protein interaction networks with application to functional orthology detection},
journal = {PNAS},
year = {2008},
volume = {105},
pages = {12763-12768},
number = {35}
}
Usage example
----------------------
The usage of this graph is relatively straightforward:
.. code:: python
# First import the function to retrieve the graph from the datasets
from ensmallen_graph.datasets.networkrepository import BioDmela
# Then load the graph
graph = BioDmela()
# Finally, you can do anything with it, for instance, compute its report:
print(graph)
# If you need to run a link prediction task with validation,
# you can split the graph using a connected holdout as follows:
train_graph, validation_graph = graph.connected_holdout(
# You can use an 80/20 split the holdout, for example.
train_size=0.8,
# The random state is used to reproduce the holdout.
random_state=42,
# Wether to show a loading bar.
verbose=True
)
# Remember that, if you need, you can enable the memory-time trade-offs:
train_graph.enable(
vector_sources=True,
vector_destinations=True,
vector_outbounds=True
)
# Consider using the methods made available in the Embiggen package
# to run graph embedding or link prediction tasks.
"""
from typing import Dict
from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph
from ...ensmallen_graph import EnsmallenGraph # pylint: disable=import-error
def BioDmela(
directed: bool = False,
verbose: int = 2,
cache_path: str = "graphs/networkrepository",
**additional_graph_kwargs: Dict
) -> EnsmallenGraph:
"""Return new instance of the bio-dmela graph.
The graph is automatically retrieved from the NetworkRepository repository.
Parameters
-------------------
directed: bool = False,
Wether to load the graph as directed or undirected.
By default false.
verbose: int = 2,
Wether to show loading bars during the retrieval and building
of the graph.
cache_path: str = "graphs",
Where to store the downloaded graphs.
additional_graph_kwargs: Dict,
Additional graph kwargs.
Returns
-----------------------
Instace of bio-dmela graph.
Report
---------------------
At the time of rendering these methods (please see datetime below), the graph
had the following characteristics:
Datetime: 2021-02-03 22:30:40.791750
The undirected graph bio-dmela has 7393 nodes and 25569 unweighted edges,
of which none are self-loops. The graph is quite sparse as it has a density
of 0.00094 and is connected, as it has a single component. The graph median
node degree is 3, the mean node degree is 6.92 and the node degree mode
is 1. The top 5 most central nodes are 215 (degree 190), 663 (degree 149),
708 (degree 122), 209 (degree 115) and 76 (degree 113).
References
---------------------
Please cite the following if you use the data:
@inproceedings{nr,
title = {The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle = {AAAI},
url={http://networkrepository.com},
year={2015}
}
@article{singh2008-isorank-multi,
author = {Singh, Rohit and Xu, Jinbo and Berger, Bonnie},
title = {Global alignment of multiple protein interaction networks with application to functional orthology detection},
journal = {PNAS},
year = {2008},
volume = {105},
pages = {12763-12768},
number = {35}
}
Usage example
----------------------
The usage of this graph is relatively straightforward:
.. code:: python
# First import the function to retrieve the graph from the datasets
from ensmallen_graph.datasets.networkrepository import BioDmela
# Then load the graph
graph = BioDmela()
# Finally, you can do anything with it, for instance, compute its report:
print(graph)
# If you need to run a link prediction task with validation,
# you can split the graph using a connected holdout as follows:
train_graph, validation_graph = graph.connected_holdout(
# You can use an 80/20 split the holdout, for example.
train_size=0.8,
# The random state is used to reproduce the holdout.
random_state=42,
# Wether to show a loading bar.
verbose=True
)
# Remember that, if you need, you can enable the memory-time trade-offs:
train_graph.enable(
vector_sources=True,
vector_destinations=True,
vector_outbounds=True
)
# Consider using the methods made available in the Embiggen package
# to run graph embedding or link prediction tasks.
"""
return AutomaticallyRetrievedGraph(
graph_name="BioDmela",
dataset="networkrepository",
directed=directed,
verbose=verbose,
cache_path=cache_path,
additional_graph_kwargs=additional_graph_kwargs
)()
| 32.065327
| 128
| 0.674659
| 839
| 6,381
| 5.0882
| 0.292014
| 0.031858
| 0.024596
| 0.007496
| 0.813305
| 0.813305
| 0.813305
| 0.813305
| 0.813305
| 0.782385
| 0
| 0.043434
| 0.235073
| 6,381
| 198
| 129
| 32.227273
| 0.831182
| 0.930889
| 0
| 0
| 0
| 0
| 0.085217
| 0.041739
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0.176471
| 0
| 0.294118
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2fa644a46e092b90831426aed472324e1cbc05ad
| 176
|
py
|
Python
|
tests/test_mal_scraper.py
|
QasimK/mal-scraper
|
2657be490c80fe695da2e774aea1602846aeb207
|
[
"MIT"
] | 17
|
2016-10-16T16:19:14.000Z
|
2022-02-11T07:46:43.000Z
|
tests/test_mal_scraper.py
|
QasimK/mal-scraper
|
2657be490c80fe695da2e774aea1602846aeb207
|
[
"MIT"
] | 20
|
2016-05-15T19:06:59.000Z
|
2021-06-01T21:59:28.000Z
|
tests/test_mal_scraper.py
|
QasimK/mal-scraper
|
2657be490c80fe695da2e774aea1602846aeb207
|
[
"MIT"
] | 11
|
2017-08-06T07:29:09.000Z
|
2022-02-07T17:03:54.000Z
|
import mal_scraper
def test_import_mal_scraper():
"""Can we import mal_scraper"""
assert mal_scraper
assert mal_scraper.__version__.split('.') == ['0', '3', '0']
| 22
| 64
| 0.670455
| 24
| 176
| 4.458333
| 0.5
| 0.46729
| 0.448598
| 0.35514
| 0.392523
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020548
| 0.170455
| 176
| 7
| 65
| 25.142857
| 0.712329
| 0.142045
| 0
| 0
| 0
| 0
| 0.027586
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 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
| 1
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 10
|
2fbb427e7d208261e573f4767202935601df3cb4
| 124
|
py
|
Python
|
ijroi/__init__.py
|
tdsmith/ijroi
|
611a220286788ff1447d79343da51cb2bb69a984
|
[
"MIT"
] | 13
|
2016-09-15T16:33:14.000Z
|
2022-02-18T02:28:35.000Z
|
ijroi/__init__.py
|
tdsmith/ijroi
|
611a220286788ff1447d79343da51cb2bb69a984
|
[
"MIT"
] | 10
|
2016-10-28T14:34:33.000Z
|
2019-02-21T21:48:59.000Z
|
ijroi/__init__.py
|
tdsmith/ijroi
|
611a220286788ff1447d79343da51cb2bb69a984
|
[
"MIT"
] | 12
|
2015-07-02T04:50:33.000Z
|
2020-12-16T08:12:47.000Z
|
from .ijroi import read_roi, read_roi_zip
from .version import __version__
__all__ = [read_roi, read_roi_zip, __version__]
| 24.8
| 47
| 0.814516
| 19
| 124
| 4.368421
| 0.421053
| 0.337349
| 0.26506
| 0.337349
| 0.409639
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120968
| 124
| 4
| 48
| 31
| 0.761468
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ffa8eb9afb4156f6b61bc06968cfc201acab2f96
| 15,354
|
py
|
Python
|
tests/items/integration_test.py
|
umd-lib/caia
|
b6fc6b7ceb1987e67d593d2a19d64f16645f6f7b
|
[
"Apache-2.0"
] | null | null | null |
tests/items/integration_test.py
|
umd-lib/caia
|
b6fc6b7ceb1987e67d593d2a19d64f16645f6f7b
|
[
"Apache-2.0"
] | 1
|
2020-06-16T11:22:58.000Z
|
2020-06-16T11:22:58.000Z
|
tests/items/integration_test.py
|
umd-lib/caia
|
b6fc6b7ceb1987e67d593d2a19d64f16645f6f7b
|
[
"Apache-2.0"
] | 1
|
2020-05-11T19:13:42.000Z
|
2020-05-11T19:13:42.000Z
|
import os
import pytest
import re
import tempfile
from json import JSONDecodeError
from hamcrest import assert_that
from mbtest.imposters import Imposter, Predicate, Response, Stub
from mbtest.matchers import had_request
from os import listdir
from os.path import isfile, join
from caia.commands.items import Command
def setup_environment(imposter, temp_storage_dir, temp_success_filename):
os.environ["ITEMS_SOURCE_URL"] = f"{imposter.url}/src"
os.environ["ITEMS_DEST_NEW_URL"] = f"{imposter.url}/dest/new"
os.environ["ITEMS_DEST_UPDATES_URL"] = f"{imposter.url}/dest/updated"
os.environ["ITEMS_STORAGE_DIR"] = temp_storage_dir
os.environ["ITEMS_LAST_SUCCESS_LOOKUP"] = temp_success_filename
os.environ["CAIASOFT_API_KEY"] = 'TEST_KEY'
def test_successful_job(mock_server):
with open("tests/resources/items/valid_src_response.json") as file:
valid_src_response = file.read()
with open("tests/resources/items/valid_dest_new_items_response.json") as file:
valid_dest_new_items_response = file.read()
with open("tests/resources/items/valid_dest_updated_items_response.json") as file:
valid_dest_updated_items_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body=valid_dest_new_items_response)),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body=valid_dest_updated_items_response)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is True
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/new").and_method("POST"))
assert_that(server, had_request().with_path("/dest/updated").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_successful_job_no_new_items(mock_server):
with open("tests/resources/items/valid_src_no_new_items_response.json") as file:
valid_src_response = file.read()
with open("tests/resources/items/valid_dest_updated_items_response.json") as file:
valid_dest_updated_items_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body="{}")),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body=valid_dest_updated_items_response)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is True
assert 2 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/updated").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_successful_job_no_updated_items(mock_server):
with open("tests/resources/items/valid_src_no_updated_items_response.json") as file:
valid_src_response = file.read()
with open("tests/resources/items/valid_dest_new_items_response.json") as file:
valid_dest_new_items_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body=valid_dest_new_items_response)),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body="{}")),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is True
assert 2 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/new").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_successful_job_no_new_or_updated_items(mock_server):
with open("tests/resources/items/valid_src_no_new_or_updated_items_response.json") as file:
valid_src_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body="{}")),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body="{}")),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is True
assert 1 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_src_returns_404_error(mock_server):
with open("tests/resources/items/valid_dest_new_items_response.json") as file:
valid_dest_new_items_response = file.read()
with open("tests/resources/items/valid_dest_updated_items_response.json") as file:
valid_dest_updated_items_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(status_code=404)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body=valid_dest_new_items_response)),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body=valid_dest_updated_items_response)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is False
assert 1 == len(result.get_errors())
# There should be only one request to the server (the /src request)
assert 1 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_dest_returns_404_error(mock_server):
with open("tests/resources/items/valid_src_response.json") as file:
valid_src_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(status_code=404)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
command = Command()
result = command(start_time, args)
assert result.was_successful() is False
assert 1 == len(result.get_errors())
# There should be only two requests to the server
assert 2 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/new").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_dest_returns_unparseable_json_response_for_new_items(mock_server):
with open("tests/resources/items/valid_src_response.json") as file:
valid_src_response = file.read()
with open("tests/resources/items/unparseable_json_dest_response.json") as file:
unparseable_json_dest_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body=unparseable_json_dest_response)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
with pytest.raises(JSONDecodeError):
command = Command()
result = command(start_time, args)
assert result.was_successful() is False
files_in_storage_dir = [f for f in listdir(temp_storage_dir) if isfile(join(temp_storage_dir, f))]
expected_file_regex = re.compile('.*\\.dest_new_items_response_body\\..*')
# There should be a "dest_updated_response_body" file, even
# though the JSON was unparseable
if not any(expected_file_regex.match(x) for x in files_in_storage_dir):
pytest.fail(f"Expected file matching '#{expected_file_regex.pattern}' was not found.")
# There should have been two requests to the server, as the updated
# items call will not occur
assert 2 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/new").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
def test_dest_returns_unparseable_json_response_for_updated_items(mock_server):
with open("tests/resources/items/valid_src_response.json") as file:
valid_src_response = file.read()
with open("tests/resources/items/valid_dest_new_items_response.json") as file:
valid_dest_new_items_response = file.read()
with open("tests/resources/items/unparseable_json_dest_response.json") as file:
unparseable_json_dest_response = file.read()
# Set up mock server with required behavior
imposter = Imposter([
Stub(Predicate(path="/src"), Response(body=valid_src_response)),
Stub(Predicate(path="/dest/new", method="POST"), Response(body=valid_dest_new_items_response)),
Stub(Predicate(path="/dest/updated", method="POST"), Response(body=unparseable_json_dest_response)),
])
# Create a temporary file to use as last success lookup
try:
[temp_file_handle, temp_success_filename] = tempfile.mkstemp()
with open(temp_success_filename, 'w') as f:
f.write('etc/items_FIRST.json')
with tempfile.TemporaryDirectory() as temp_storage_dir, mock_server(imposter) as server:
setup_environment(imposter, temp_storage_dir, temp_success_filename)
start_time = '20200521132905'
args = []
with pytest.raises(JSONDecodeError):
command = Command()
result = command(start_time, args)
assert result.was_successful() is False
files_in_storage_dir = [f for f in listdir(temp_storage_dir) if isfile(join(temp_storage_dir, f))]
expected_file_regex = re.compile('.*\\.dest_updated_items_response_body\\..*')
# There should be a "dest_updated_response_body" file, even
# though the JSON was unparseable
if not any(expected_file_regex.match(x) for x in files_in_storage_dir):
pytest.fail(f"Expected file matching '#{expected_file_regex.pattern}' was not found.")
# There should have been three requests to the server
assert 3 == len(server.get_actual_requests()[imposter.port])
assert_that(server, had_request().with_path("/src").and_method("GET"))
assert_that(server, had_request().with_path("/dest/new").and_method("POST"))
assert_that(server, had_request().with_path("/dest/updated").and_method("POST"))
finally:
# Clean up the temporary file
os.close(temp_file_handle)
os.remove(temp_success_filename)
| 43.008403
| 111
| 0.676371
| 1,954
| 15,354
| 5.039918
| 0.074207
| 0.037977
| 0.065597
| 0.035743
| 0.941511
| 0.926483
| 0.926483
| 0.926483
| 0.926483
| 0.920695
| 0
| 0.011058
| 0.216621
| 15,354
| 356
| 112
| 43.129213
| 0.807699
| 0.09307
| 0
| 0.851852
| 0
| 0
| 0.143618
| 0.081204
| 0
| 0
| 0
| 0
| 0.139918
| 1
| 0.037037
| false
| 0
| 0.045267
| 0
| 0.082305
| 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
|
ffac9e8b4e8316664e0cfb4dd7965856c1663191
| 4,328
|
py
|
Python
|
tests/transactions/builder/test_htlc_lock.py
|
ciband/python-crypto
|
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
|
[
"MIT"
] | null | null | null |
tests/transactions/builder/test_htlc_lock.py
|
ciband/python-crypto
|
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
|
[
"MIT"
] | 1
|
2018-08-29T17:18:13.000Z
|
2018-08-29T17:18:13.000Z
|
tests/transactions/builder/test_htlc_lock.py
|
ciband/python-crypto
|
27acf5659efe1aedc0ce5ae73b1ebf03126cb7f4
|
[
"MIT"
] | null | null | null |
from crypto.configuration.network import set_network
from crypto.constants import TRANSACTION_HTLC_LOCK, TRANSACTION_TYPE_GROUP
from crypto.networks.devnet import Devnet
from crypto.transactions.builder.htlc_lock import HtlcLock
import pytest
set_network(Devnet)
def test_htlc_lock_transation_amount_not_int():
with pytest.raises(ValueError):
"""Test error handling in constructor for non-integer amount
"""
HtlcLock(
recipient_id='AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC',
amount='bad amount number',
secret_hash='0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454',
expiration_type=1,
expiration_value=1573455822
)
def test_htlc_lock_transation_amount_zero():
with pytest.raises(ValueError):
"""Test error handling in constructor for non-integer amount
"""
HtlcLock(
recipient_id='AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC',
amount=0,
secret_hash='0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454',
expiration_type=1,
expiration_value=1573455822
)
def test_htlc_lock_transation_amount_negative():
with pytest.raises(ValueError):
"""Test error handling in constructor for non-integer amount
"""
HtlcLock(
recipient_id='AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC',
amount=-5,
secret_hash='0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454',
expiration_type=1,
expiration_value=1573455822
)
def test_htlc_lock_transaction():
"""Test if timelock transaction gets built
"""
transaction = HtlcLock(
recipient_id='AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC',
amount=200000000,
secret_hash='0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454',
expiration_type=1,
expiration_value=1573455822
)
transaction.set_type_group(TRANSACTION_TYPE_GROUP.CORE)
transaction.set_nonce(1)
transaction.schnorr_sign('testing')
transaction_dict = transaction.to_dict()
assert transaction_dict['recipientId'] == 'AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC'
assert transaction_dict['amount'] == 200000000
assert transaction_dict['nonce'] == 1
assert transaction_dict['signature']
assert transaction_dict['type'] is TRANSACTION_HTLC_LOCK
assert transaction_dict['typeGroup'] == 1
assert transaction_dict['typeGroup'] == TRANSACTION_TYPE_GROUP.CORE.value
assert transaction_dict['fee'] == 10000000
assert transaction_dict['asset']['lock']['secretHash'] == '0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454'
assert transaction_dict['asset']['lock']['expiration']['type'] == 1
assert transaction_dict['asset']['lock']['expiration']['value'] == 1573455822
transaction.schnorr_verify() # if no exception is raised, it means the transaction is valid
def test_htlc_lock_transaction_custom_fee():
"""Test if timelock transaction gets built with a custom fee
"""
transaction = HtlcLock(
recipient_id='AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC',
amount=200000000,
secret_hash='0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454',
expiration_type=1,
expiration_value=1573455822,
fee=5
)
transaction.set_type_group(TRANSACTION_TYPE_GROUP.CORE)
transaction.set_nonce(1)
transaction.schnorr_sign('testing')
transaction_dict = transaction.to_dict()
assert transaction_dict['recipientId'] == 'AGeYmgbg2LgGxRW2vNNJvQ88PknEJsYizC'
assert transaction_dict['amount'] == 200000000
assert transaction_dict['nonce'] == 1
assert transaction_dict['signature']
assert transaction_dict['type'] is TRANSACTION_HTLC_LOCK
assert transaction_dict['typeGroup'] == 1
assert transaction_dict['typeGroup'] == TRANSACTION_TYPE_GROUP.CORE.value
assert transaction_dict['fee'] == 5
assert transaction_dict['asset']['lock']['secretHash'] == '0f128d401958b1b30ad0d10406f47f9489321017b4614e6cb993fc63913c5454'
assert transaction_dict['asset']['lock']['expiration']['type'] == 1
assert transaction_dict['asset']['lock']['expiration']['value'] == 1573455822
transaction.schnorr_verify() # if no exception is raised, it means the transaction is valid
| 39.706422
| 128
| 0.736137
| 414
| 4,328
| 7.456522
| 0.195652
| 0.116618
| 0.14966
| 0.04276
| 0.904114
| 0.892128
| 0.860058
| 0.860058
| 0.860058
| 0.860058
| 0
| 0.13823
| 0.172597
| 4,328
| 108
| 129
| 40.074074
| 0.72382
| 0.053142
| 0
| 0.719512
| 0
| 0
| 0.24832
| 0.177261
| 0
| 0
| 0
| 0
| 0.268293
| 1
| 0.060976
| false
| 0
| 0.060976
| 0
| 0.121951
| 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
|
4425634d0c1259abb75c46b1e99ed61c68edbb3c
| 3,152
|
py
|
Python
|
venv3/lib/python3.8/site-packages/tests/script/test_semver_with_prerelease_metadata_empty_last.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 94
|
2016-05-23T17:13:11.000Z
|
2021-12-03T23:06:45.000Z
|
venv3/lib/python3.8/site-packages/tests/script/test_semver_with_prerelease_metadata_empty_last.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 39
|
2016-05-19T17:57:53.000Z
|
2020-12-26T09:57:21.000Z
|
venv3/lib/python3.8/site-packages/tests/script/test_semver_with_prerelease_metadata_empty_last.py
|
paul-romeo/pytest-in-60-minutes
|
a4817312081347737f87801c0623054eba599418
|
[
"MIT"
] | 15
|
2016-05-23T20:22:37.000Z
|
2019-12-27T21:13:04.000Z
|
import pytest
pytestmark = pytest.mark.slow
version_file_content = """
major = 1
minor = 0
patch = 0
prerelease = 'alpha'
"""
config_file_content = """
__config_version__ = 1
GLOBALS = {
'serializer': "{{ major }}.{{ minor }}.{{ patch }}" + \
"{{ '-{}'.format(prerelease) if prerelease }}"
}
FILES = ["README.md"]
VERSION = [
'major',
'minor',
'patch',
{
'name': 'prerelease',
'type': 'value_list',
'allowed_values': ['alpha', 'beta', '']
}
]
"""
def test_update_major(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0-alpha")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
test_environment.call(["punch", "--part", "major"])
assert test_environment.get_file_content("README.md") == \
"Version 2.0.0-alpha"
def test_update_minor(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0-alpha")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
test_environment.call(["punch", "--part", "minor"])
assert test_environment.get_file_content("README.md") == \
"Version 1.1.0-alpha"
def test_update_patch(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0-alpha")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
test_environment.call(["punch", "--part", "patch"])
assert test_environment.get_file_content("README.md") == \
"Version 1.0.1-alpha"
def test_update_prerelease(test_environment):
test_environment.ensure_file_is_present("README.md", "Version 1.0.0-alpha")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
test_environment.call(["punch", "--part", "prerelease"])
assert test_environment.get_file_content("README.md") == \
"Version 1.0.0-beta"
def test_update_after_last_prerelease(test_environment):
version_file_content = """
major = 1
minor = 0
patch = 0
prerelease = 'beta'
"""
test_environment.ensure_file_is_present("README.md", "Version 1.0.0-beta")
test_environment.ensure_file_is_present(
"punch_version.py",
version_file_content
)
test_environment.ensure_file_is_present(
"punch_config.py",
config_file_content
)
test_environment.call(["punch", "--part", "prerelease"])
assert test_environment.get_file_content("README.md") == "Version 1.0.0"
| 23.522388
| 79
| 0.643718
| 370
| 3,152
| 5.105405
| 0.124324
| 0.238221
| 0.166755
| 0.198518
| 0.821069
| 0.800953
| 0.800953
| 0.7946
| 0.7946
| 0.768131
| 0
| 0.015183
| 0.22684
| 3,152
| 133
| 80
| 23.699248
| 0.759951
| 0
| 0
| 0.53125
| 0
| 0
| 0.337881
| 0.007614
| 0
| 0
| 0
| 0
| 0.052083
| 1
| 0.052083
| false
| 0
| 0.010417
| 0
| 0.0625
| 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
|
4464b979a4e700ec947ea3f8e0dbe2d15596ccb3
| 32
|
py
|
Python
|
Exercise01/1-10.py
|
ywyz/IntroducingToProgrammingUsingPython
|
614d59eacb7e37aece871a00f7d1518f7de88708
|
[
"Apache-2.0"
] | null | null | null |
Exercise01/1-10.py
|
ywyz/IntroducingToProgrammingUsingPython
|
614d59eacb7e37aece871a00f7d1518f7de88708
|
[
"Apache-2.0"
] | null | null | null |
Exercise01/1-10.py
|
ywyz/IntroducingToProgrammingUsingPython
|
614d59eacb7e37aece871a00f7d1518f7de88708
|
[
"Apache-2.0"
] | null | null | null |
print((14 / 1.6) / (45.5 / 60))
| 16
| 31
| 0.4375
| 7
| 32
| 2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.36
| 0.21875
| 32
| 1
| 32
| 32
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
922da8e073f75fe3f8e7b5cd1cdbe63ee985a2df
| 92
|
py
|
Python
|
modules/home/methods.py
|
scaamanho/flask-starter-kit
|
69b8090242ef0ff84db89072b7658a91ba9d6dbe
|
[
"MIT"
] | 8
|
2017-10-24T06:22:05.000Z
|
2021-03-17T19:38:24.000Z
|
modules/home/methods.py
|
scaamanho/flask-starter-kit
|
69b8090242ef0ff84db89072b7658a91ba9d6dbe
|
[
"MIT"
] | null | null | null |
modules/home/methods.py
|
scaamanho/flask-starter-kit
|
69b8090242ef0ff84db89072b7658a91ba9d6dbe
|
[
"MIT"
] | 2
|
2017-11-14T06:04:48.000Z
|
2021-03-17T19:38:26.000Z
|
from flask import make_response
def index():
return make_response("Home module", 200)
| 15.333333
| 44
| 0.73913
| 13
| 92
| 5.076923
| 0.846154
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.039474
| 0.173913
| 92
| 5
| 45
| 18.4
| 0.828947
| 0
| 0
| 0
| 0
| 0
| 0.119565
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 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
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 8
|
92512482a777a9e050106d1094d72ff369fcabd1
| 34,224
|
py
|
Python
|
demstripproducts.py
|
rhugonnet/rh_pygeotools
|
26729afea53e4d648aa1ec06047fe724a74a1685
|
[
"MIT"
] | null | null | null |
demstripproducts.py
|
rhugonnet/rh_pygeotools
|
26729afea53e4d648aa1ec06047fe724a74a1685
|
[
"MIT"
] | null | null | null |
demstripproducts.py
|
rhugonnet/rh_pygeotools
|
26729afea53e4d648aa1ec06047fe724a74a1685
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 05 11:55:37 2018
@author: hugonnet
DEM STRIP PRODUCTS LIBRARY:
Library of Python functions to process DEM strip products such as:
- ArcticDEM release 7 strip (2m)
- REMA release 1.1 strip (2m and 8m)
- ASTER L1A via ASP
- ASTER L1A via MMASTERv2
All strips placed within the input directory are processed to a specified output directory
3 different options for output directory structure:
1/ all strips at the root of directory
2/ all strips in subdirectories following input structure
3/ all strips are referenced to a 1x1° lat/lon tile subdirectory based on their centroid
"""
from __future__ import print_function
import os, sys, shutil, csv
from shlib import create_tmp_dir_for_outfile, remove_tmp_dir_for_outfile, extract_file_from_tar_gz
from rastlib import warp_defaultUTM, inters_raster, translate
from demlib import ellipsoid_to_geoid, geoid_to_ellipsoid, dem_coregistration_custom, dem_mosaic, valid_points_coreg
def ArcticDEM_strip_r7(dir_ArcDEM,tile_name,dem_dir_out,mosaic_coreg_segm=True,filter_params=None,format_out='GTiff',tgt_EPSG=3413,tgt_res=None,nodata_out=-9999,interp_method=None,geoid=False,rm_tar=False,downsample=True):
print('--ArcticDEM release 7 strip processing--')
# 1/ LOCATE STRIPS
print('Searching for tile ' + tile_name + ' in folder '+ dir_ArcDEM +'...')
subtile_dir = os.path.join(dir_ArcDEM, tile_name)
seg_tar_gz_list = [os.path.join(subtile_dir,tar_file) for tar_file in os.listdir(subtile_dir) if
tar_file.endswith('.tar.gz')]
print('Found '+str(len(seg_tar_gz_list))+' segments in tile folder.')
# 2/ EXTRACT ALL STRIPS
tmp_dir = create_tmp_dir_for_outfile(os.path.join(dem_dir_out,'all_strips'))
list_tmp_dem = [os.path.join(tmp_dir, os.path.splitext(os.path.splitext(os.path.basename(seg_tar_gz))[0])[0] + '_dem.tif') for seg_tar_gz in
seg_tar_gz_list]
for seg_tar_gz in seg_tar_gz_list:
print('Extracting dem file of segment '+str(seg_tar_gz_list.index(seg_tar_gz)+1)+' out of '+str(len(seg_tar_gz_list)))
extract_file_from_tar_gz(seg_tar_gz, os.path.splitext(os.path.splitext(os.path.basename(seg_tar_gz))[0])[0] + '_dem.tif',
list_tmp_dem[seg_tar_gz_list.index(seg_tar_gz)])
if rm_tar:
#once extracted, remove original data to avoid taking up too much space
shutil.rmtree(subtile_dir)
if downsample:
list_ds=[]
for tmp_dem in list_tmp_dem:
tmp_dem_ds = os.path.join(tmp_dir, os.path.splitext(os.path.basename(tmp_dem))[0] + '_ds.tif')
list_ds.append(tmp_dem_ds)
translate(tmp_dem, tmp_dem_ds, format_out='GTiff', tgt_res=[8,-8], interp_method='bilinear')
os.remove(tmp_dem)
list_tmp_dem=list_ds
# 2.5/ MOSAIC/COREGISTER SETSM SEGMENTS ITERATIVELY INTO STRIPS
if mosaic_coreg_segm:
max_coreg_rmse = 10.
nb_init_pixel_min = 1000
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results'))
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results', 'good')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results', 'good'))
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results', 'breaks')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results', 'breaks'))
summary = os.path.join(dem_dir_out, 'mosaic_coreg_summary_'+tile_name+'.csv')
with open(summary,'w') as csvfile:
writer = csv.writer(csvfile, delimiter=',')
writer.writerow(['scene','segment','master','dx','dy','dz','RMSE','mosaic_nb'])
#create segment lists
list_seg = list(list_tmp_dem)
list_seg_id = []
for seg in list_seg:
seg_id_split = os.path.basename(seg).split('_')
seg_id='_'.join(seg_id_split[0:5])
seg_suf = '_'.join(seg_id_split[6:])
# seg_nb=int(seg_id_split[5][3:])
if seg_id not in list_seg_id:
list_seg_id.append(seg_id)
#list all list of scenes acquired the same day
list_list_by_seg_id=[]
for seg_id in list_seg_id:
tmp_list = [seg for seg in list_seg if seg_id in seg]
tmp_list = sorted(tmp_list, key = lambda x: x.split('/')[-1].split('_')[5][3:].zfill(2))
list_list_by_seg_id.append(tmp_list)
# coregister in series
list_final_strip=[]
print('List of list of segments:')
print(list_list_by_seg_id)
#loop through same day scenes
for list_by_seg_id in list_list_by_seg_id:
print(list_by_seg_id)
#bother to coreg only if there is more than 1 segment
if len(list_by_seg_id)>1:
tmp_dir_coreg = create_tmp_dir_for_outfile(os.path.join(tmp_dir,'coreg'))
#master dem is the first segment
dem_master = list_by_seg_id[0]
k=0
#for csv summary: first segment
dem_master_id_split = os.path.basename(dem_master).split('_')
dem_master_id = '_'.join(dem_master_id_split[0:5])
dem_master_seg_nb = int(dem_master_id_split[5][3:])
writer.writerow([dem_master_id, dem_master_seg_nb, dem_master_seg_nb, 'first_seg', 'first_seg', 'first_seg', 'first_seg', str(k+1)])
for i in range(len(list_by_seg_id)-1):
dem_in = list_by_seg_id[i+1]
print('Master segment is ' + dem_master)
print('Slave segment is '+dem_in)
#for csv summary: all segments
dem_in_id_split = os.path.basename(dem_in).split('_')
dem_in_id = '_'.join(dem_in_id_split[0:5])
dem_in_seg_nb = int(dem_in_id_split[5][3:])
dem_master_id_split = os.path.basename(dem_master).split('_')
dem_master_seg_nb = int(dem_master_id_split[5][3:])
k0=k
#deriving intersection
extent = inters_raster(dem_in,dem_master)
nb_init_pixel = valid_points_coreg(dem_master,dem_in)
#try coreg only if intersection is non void
if extent is not None and nb_init_pixel>nb_init_pixel_min:
tmp_dir_seg = create_tmp_dir_for_outfile(dem_in)
#do coreg, save results
try:
out_offs, final_rmse = dem_coregistration_custom(dem_master,dem_in,outdir=tmp_dir_seg)[2:4]
except Exception:
out_offs = None
final_rmse=999
if final_rmse < max_coreg_rmse:
str_out = 'good'
else:
str_out = 'breaks'
shutil.move(os.path.join(tmp_dir_seg, 'CoRegistration_Results.pdf'),
os.path.join(dem_dir_out, 'coreg_results',str_out,
os.path.splitext(os.path.basename(dem_in))[0] + '_' +
os.path.splitext(os.path.basename(dem_master))[0] + '_coreg_results.pdf'))
shutil.move(os.path.join(tmp_dir_seg, 'coreg_params.txt'),
os.path.join(dem_dir_out, 'coreg_results',str_out,
os.path.splitext(os.path.basename(dem_in))[0] + '_' +
os.path.splitext(os.path.basename(dem_master))[0] + '_coreg_params.txt'))
print('Final coregistration RMSE is:'+str(final_rmse))
#if rmse is good, keep doing mosaics with next segment: mosaic is new master
if final_rmse < max_coreg_rmse:
print('All good. Doing mosaic and iterating to next segment...')
tmp_mosaic_list = [dem_master,os.path.join(tmp_dir_seg,os.path.splitext(os.path.basename(dem_in))[0]+'_adj.tif')]
tmp_dem_coreg=os.path.join(tmp_dir_coreg,os.path.basename(list_by_seg_id[i+1]))
dem_mosaic(tmp_mosaic_list,tmp_dem_coreg,erode_length=0,hole_fill_length=0,blending_method='mean')
dem_master = tmp_dem_coreg
#if this is the last segment, save mosaic and add to list of finalized mosaics
if i==(len(list_by_seg_id)-2):
k=k+1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(k) + '_' + seg_suf)
shutil.copyfile(dem_master,final_strip)
list_final_strip.append(final_strip)
#otherwise, break the iterative mosaic-ing
else:
#if this is the last segment
if i==(len(list_by_seg_id)-2):
#if master is the previous segment alone
if dem_master == list_by_seg_id[i]:
print('RMSE is larger than limit of '+str(max_coreg_rmse)+'m: saving last segments independently...')
list_final_strip.append(dem_in)
list_final_strip.append(dem_master)
#if master is a previous ongoing mosaic
else:
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('RMSE is larger than limit of ' + str(
max_coreg_rmse) + 'm: saving previous mosaic and last segment...')
list_final_strip.append(dem_in)
list_final_strip.append(final_strip)
#if there is still segments to go
else:
#save current mosaic
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('RMSE is larger than limit of ' + str(
max_coreg_rmse) + 'm: saving previous mosaic, slave is new master...')
list_final_strip.append(final_strip)
#new master is the segment that did not mosaic
dem_master = dem_in
remove_tmp_dir_for_outfile(dem_in)
#if no intersection and last segment
elif i==(len(list_by_seg_id)-2):
out_offs = None
final_rmse = None
if dem_master == list_by_seg_id[i]:
print('No intersection between master and slave: saving last segments independently...')
list_final_strip.append(dem_in)
list_final_strip.append(dem_master)
# if master is a previous ongoing mosaic
else:
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('No intersection between master and slave: saving previous mosaic and last segment...')
list_final_strip.append(dem_in)
list_final_strip.append(final_strip)
#if no intersection and still segments to go
else:
out_offs = None
final_rmse = None
# save current mosaic
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('No intersection between master and slave: saving previous mosaic, slave is new master...')
list_final_strip.append(final_strip)
# new master is the segment that did not mosaic
dem_master = dem_in
#write data in summary
if out_offs is None:
dx = 'no_inters'
dy = 'no_inters'
dz = 'no_inters'
rmse = 'no_inters'
else:
dx = str(out_offs[0])
dy = str(out_offs[1])
dz = str(out_offs[2])
rmse = str(final_rmse)
writer.writerow([dem_in_id, dem_in_seg_nb, dem_master_seg_nb, dx, dy, dz, rmse, str(k0+1)])
remove_tmp_dir_for_outfile(os.path.join(tmp_dir,'coreg'))
else:
list_final_strip.append(list_by_seg_id[0])
dem_master_id_split = os.path.basename(list_by_seg_id[0]).split('_')
dem_master_id = '_'.join(dem_master_id_split[0:5])
dem_master_seg_nb = int(dem_master_id_split[5][3:])
writer.writerow(
[dem_master_id, dem_master_seg_nb, dem_master_seg_nb, 'only_seg', 'only_seg', 'only_seg',
'only_seg', 'only_seg'])
else:
list_final_strip = list_tmp_dem
# 3/ PROCESSING OF FINAL STRIPS
final_dem = []
for final_strip in list_final_strip:
# 3.1/ FILTER STRIPS
if filter_params is not None:
sys.exit('No filter pre-defined for this DEM product.')
# 3.2/ REPROJECT STRIPS
# raw data is GeoTiff, 3413, 1 arc-sec and -9999 nodata_out
if format_out == 'GTiff' and tgt_EPSG == 3413 and tgt_res is None and nodata_out is -9999:
tmp_dem_proj = final_strip
else:
tmp_dem_proj = os.path.join(tmp_dir, os.path.splitext(os.path.basename(final_strip))[0] + '_proj.tif')
warp_defaultUTM(final_strip, tmp_dem_proj, format_out, 3413, tgt_EPSG, tgt_res, nodata_out, interp_method)
# 3.3/ ELLIPSOID OR GEOID STRIPS
# raw data is ellipsoid WGS84
if geoid:
tmp_dem_geoid = os.path.join(tmp_dir, os.path.splitext(os.path.basename(final_strip))[0] + '_geoid.tif')
ellipsoid_to_geoid(tmp_dem_proj, tmp_dem_geoid)
else:
tmp_dem_geoid = tmp_dem_proj
final_dem.append(tmp_dem_geoid)
for dem in final_dem:
shutil.copyfile(dem,os.path.join(dem_dir_out,os.path.basename(dem)))
remove_tmp_dir_for_outfile(os.path.join(dem_dir_out,'all_strips'))
print('Fin.')
def REMA_strip_r1_1(dir_REMA,tile_name,dem_dir_out,mosaic_coreg_segm=True,filter_params=None,format_out='GTiff',tgt_EPSG=3031,tgt_res=None,nodata_out=-9999,interp_method=None,geoid=False,rm_tar=False,downsample=True):
print('--REMA release 1.1 strip processing--')
# 1/ LOCATE STRIPS
print('Searching for tile ' + tile_name + ' in folder ' + dir_REMA + '...')
subtile_dir = os.path.join(dir_REMA, tile_name)
seg_tar_gz_list = [os.path.join(subtile_dir, tar_file) for tar_file in os.listdir(subtile_dir) if
tar_file.endswith('.tar.gz')]
print('Found ' + str(len(seg_tar_gz_list)) + ' segments in tile folder.')
# 2/ EXTRACT ALL STRIPS
tmp_dir = create_tmp_dir_for_outfile(os.path.join(dem_dir_out, 'all_strips'))
list_tmp_dem = [
os.path.join(tmp_dir, os.path.splitext(os.path.splitext(os.path.basename(seg_tar_gz))[0])[0] + '_dem.tif') for
seg_tar_gz in
seg_tar_gz_list]
for seg_tar_gz in seg_tar_gz_list:
print('Extracting dem file of segment ' + str(seg_tar_gz_list.index(seg_tar_gz) + 1) + ' out of ' + str(
len(seg_tar_gz_list)))
extract_file_from_tar_gz(seg_tar_gz,
os.path.splitext(os.path.splitext(os.path.basename(seg_tar_gz))[0])[0] + '_dem.tif',
list_tmp_dem[seg_tar_gz_list.index(seg_tar_gz)])
if rm_tar:
# once extracted, remove original data to avoid taking up too much space
shutil.rmtree(subtile_dir)
if downsample:
list_ds = []
for tmp_dem in list_tmp_dem:
tmp_dem_ds = os.path.join(tmp_dir, os.path.splitext(os.path.basename(tmp_dem))[0] + '_ds.tif')
list_ds.append(tmp_dem_ds)
translate(tmp_dem, tmp_dem_ds, format_out='GTiff', tgt_res=[8, -8], interp_method='bilinear')
os.remove(tmp_dem)
list_tmp_dem = list_ds
# 2.5/ MOSAIC/COREGISTER SETSM SEGMENTS ITERATIVELY INTO STRIPS
if mosaic_coreg_segm:
max_coreg_rmse = 10.
nb_init_pixel_min = 1000
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results'))
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results', 'good')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results', 'good'))
if not os.path.exists(os.path.join(dem_dir_out, 'coreg_results', 'breaks')):
os.mkdir(os.path.join(dem_dir_out, 'coreg_results', 'breaks'))
summary = os.path.join(dem_dir_out, 'mosaic_coreg_summary_' + tile_name + '.csv')
with open(summary, 'w') as csvfile:
writer = csv.writer(csvfile, delimiter=',')
writer.writerow(['scene', 'segment', 'master', 'dx', 'dy', 'dz', 'RMSE', 'mosaic_nb'])
# create segment lists
list_seg = list(list_tmp_dem)
list_seg_id = []
for seg in list_seg:
seg_id_split = os.path.basename(seg).split('_')
seg_id = '_'.join(seg_id_split[0:5])
seg_suf = '_'.join(seg_id_split[6:])
# seg_nb=int(seg_id_split[5][3:])
if seg_id not in list_seg_id:
list_seg_id.append(seg_id)
# list all list of scenes acquired the same day
list_list_by_seg_id = []
for seg_id in list_seg_id:
tmp_list = [seg for seg in list_seg if seg_id in seg]
tmp_list = sorted(tmp_list, key=lambda x: x.split('/')[-1].split('_')[5][3:].zfill(2))
list_list_by_seg_id.append(tmp_list)
# coregister in series
list_final_strip = []
print('List of list of segments:')
print(list_list_by_seg_id)
# loop through same day scenes
for list_by_seg_id in list_list_by_seg_id:
print(list_by_seg_id)
# bother to coreg only if there is more than 1 segment
if len(list_by_seg_id) > 1:
tmp_dir_coreg = create_tmp_dir_for_outfile(os.path.join(tmp_dir, 'coreg'))
# master dem is the first segment
dem_master = list_by_seg_id[0]
k = 0
# for csv summary: first segment
dem_master_id_split = os.path.basename(dem_master).split('_')
dem_master_id = '_'.join(dem_master_id_split[0:5])
dem_master_seg_nb = int(dem_master_id_split[5][3:])
writer.writerow(
[dem_master_id, dem_master_seg_nb, dem_master_seg_nb, 'first_seg', 'first_seg', 'first_seg',
'first_seg', str(k + 1)])
for i in range(len(list_by_seg_id) - 1):
dem_in = list_by_seg_id[i + 1]
print('Master segment is ' + dem_master)
print('Slave segment is ' + dem_in)
# for csv summary: all segments
dem_in_id_split = os.path.basename(dem_in).split('_')
dem_in_id = '_'.join(dem_in_id_split[0:5])
dem_in_seg_nb = int(dem_in_id_split[5][3:])
dem_master_id_split = os.path.basename(dem_master).split('_')
dem_master_seg_nb = int(dem_master_id_split[5][3:])
k0 = k
# deriving intersection
extent = inters_raster(dem_in, dem_master)
nb_init_pixel = valid_points_coreg(dem_master, dem_in)
# try coreg only if intersection is non void
if extent is not None and nb_init_pixel > nb_init_pixel_min:
tmp_dir_seg = create_tmp_dir_for_outfile(dem_in)
# do coreg, save results
try:
out_offs, final_rmse = dem_coregistration_custom(dem_master, dem_in,
outdir=tmp_dir_seg)[2:4]
except Exception:
out_offs = None
final_rmse = 999
if final_rmse < max_coreg_rmse:
str_out = 'good'
else:
str_out = 'breaks'
shutil.move(os.path.join(tmp_dir_seg, 'CoRegistration_Results.pdf'),
os.path.join(dem_dir_out, 'coreg_results', str_out,
os.path.splitext(os.path.basename(dem_in))[0] + '_' +
os.path.splitext(os.path.basename(dem_master))[
0] + '_coreg_results.pdf'))
shutil.move(os.path.join(tmp_dir_seg, 'coreg_params.txt'),
os.path.join(dem_dir_out, 'coreg_results', str_out,
os.path.splitext(os.path.basename(dem_in))[0] + '_' +
os.path.splitext(os.path.basename(dem_master))[
0] + '_coreg_params.txt'))
print('Final coregistration RMSE is:' + str(final_rmse))
# if rmse is good, keep doing mosaics with next segment: mosaic is new master
if final_rmse < max_coreg_rmse:
print('All good. Doing mosaic and iterating to next segment...')
tmp_mosaic_list = [dem_master, os.path.join(tmp_dir_seg,
os.path.splitext(os.path.basename(dem_in))[
0] + '_adj.tif')]
tmp_dem_coreg = os.path.join(tmp_dir_coreg, os.path.basename(list_by_seg_id[i + 1]))
dem_mosaic(tmp_mosaic_list, tmp_dem_coreg, erode_length=0, hole_fill_length=0,
blending_method='mean')
dem_master = tmp_dem_coreg
# if this is the last segment, save mosaic and add to list of finalized mosaics
if i == (len(list_by_seg_id) - 2):
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
list_final_strip.append(final_strip)
# otherwise, break the iterative mosaic-ing
else:
# if this is the last segment
if i == (len(list_by_seg_id) - 2):
# if master is the previous segment alone
if dem_master == list_by_seg_id[i]:
print('RMSE is larger than limit of ' + str(
max_coreg_rmse) + 'm: saving last segments independently...')
list_final_strip.append(dem_in)
list_final_strip.append(dem_master)
# if master is a previous ongoing mosaic
else:
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('RMSE is larger than limit of ' + str(
max_coreg_rmse) + 'm: saving previous mosaic and last segment...')
list_final_strip.append(dem_in)
list_final_strip.append(final_strip)
# if there is still segments to go
else:
# save current mosaic
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print('RMSE is larger than limit of ' + str(
max_coreg_rmse) + 'm: saving previous mosaic, slave is new master...')
list_final_strip.append(final_strip)
# new master is the segment that did not mosaic
dem_master = dem_in
remove_tmp_dir_for_outfile(dem_in)
# if no intersection and last segment
elif i == (len(list_by_seg_id) - 2):
out_offs = None
final_rmse = None
if dem_master == list_by_seg_id[i]:
print('No intersection between master and slave: saving last segments independently...')
list_final_strip.append(dem_in)
list_final_strip.append(dem_master)
# if master is a previous ongoing mosaic
else:
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print(
'No intersection between master and slave: saving previous mosaic and last segment...')
list_final_strip.append(dem_in)
list_final_strip.append(final_strip)
# if no intersection and still segments to go
else:
out_offs = None
final_rmse = None
# save current mosaic
k = k + 1
final_strip = os.path.join(tmp_dir,
list_seg_id[list_list_by_seg_id.index(
list_by_seg_id)] + '_mosaic' + str(
k) + '_' + seg_suf)
shutil.copyfile(dem_master, final_strip)
print(
'No intersection between master and slave: saving previous mosaic, slave is new master...')
list_final_strip.append(final_strip)
# new master is the segment that did not mosaic
dem_master = dem_in
# write data in summary
if out_offs is None:
dx = 'no_inters'
dy = 'no_inters'
dz = 'no_inters'
rmse = 'no_inters'
else:
dx = str(out_offs[0])
dy = str(out_offs[1])
dz = str(out_offs[2])
rmse = str(final_rmse)
writer.writerow([dem_in_id, dem_in_seg_nb, dem_master_seg_nb, dx, dy, dz, rmse, str(k0 + 1)])
remove_tmp_dir_for_outfile(os.path.join(tmp_dir, 'coreg'))
else:
list_final_strip.append(list_by_seg_id[0])
dem_master_id_split = os.path.basename(list_by_seg_id[0]).split('_')
dem_master_id = '_'.join(dem_master_id_split[0:5])
dem_master_seg_nb = int(dem_master_id_split[5][3:])
writer.writerow(
[dem_master_id, dem_master_seg_nb, dem_master_seg_nb, 'only_seg', 'only_seg', 'only_seg',
'only_seg', 'only_seg'])
else:
list_final_strip = list_tmp_dem
# 3/ PROCESSING OF FINAL STRIPS
final_dem = []
for final_strip in list_final_strip:
# 3.1/ FILTER STRIPS
if filter_params is not None:
sys.exit('No filter pre-defined for this DEM product.')
# 3.2/ REPROJECT STRIPS
# raw data is GeoTiff, 3413, 1 arc-sec and -9999 nodata_out
if format_out == 'GTiff' and tgt_EPSG == 3031 and tgt_res is None and nodata_out is -9999:
tmp_dem_proj = final_strip
else:
tmp_dem_proj = os.path.join(tmp_dir, os.path.splitext(os.path.basename(final_strip))[0] + '_proj.tif')
warp_defaultUTM(final_strip, tmp_dem_proj, format_out, 3031, tgt_EPSG, tgt_res, nodata_out, interp_method)
# 3.3/ ELLIPSOID OR GEOID STRIPS
# raw data is ellipsoid WGS84
if geoid:
tmp_dem_geoid = os.path.join(tmp_dir, os.path.splitext(os.path.basename(final_strip))[0] + '_geoid.tif')
ellipsoid_to_geoid(tmp_dem_proj, tmp_dem_geoid)
else:
tmp_dem_geoid = tmp_dem_proj
final_dem.append(tmp_dem_geoid)
for dem in final_dem:
shutil.copyfile(dem, os.path.join(dem_dir_out, os.path.basename(dem)))
remove_tmp_dir_for_outfile(os.path.join(dem_dir_out, 'all_strips'))
print('Fin.')
| 52.091324
| 222
| 0.488488
| 3,967
| 34,224
| 3.888581
| 0.075876
| 0.047452
| 0.037599
| 0.039933
| 0.948853
| 0.942694
| 0.939712
| 0.939712
| 0.939712
| 0.939712
| 0
| 0.013745
| 0.430283
| 34,224
| 657
| 223
| 52.091324
| 0.777362
| 0.096453
| 0
| 0.882759
| 0
| 0
| 0.088165
| 0.003048
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004598
| false
| 0
| 0.011494
| 0
| 0.016092
| 0.085057
| 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
|
928474b2fa617ea79820d7eca020c172af7ab054
| 7,523
|
py
|
Python
|
reviewboard/scmtools/tests/test_repository_manager.py
|
amalik2/reviewboard
|
676aa2dce38ce619a74f2d4cb3cfae9bce21416e
|
[
"MIT"
] | 2
|
2020-06-19T14:57:49.000Z
|
2020-06-19T15:17:40.000Z
|
reviewboard/scmtools/tests/test_repository_manager.py
|
amalik2/reviewboard
|
676aa2dce38ce619a74f2d4cb3cfae9bce21416e
|
[
"MIT"
] | 1
|
2019-08-03T01:48:33.000Z
|
2019-08-03T01:48:33.000Z
|
reviewboard/scmtools/tests/test_repository_manager.py
|
amalik2/reviewboard
|
676aa2dce38ce619a74f2d4cb3cfae9bce21416e
|
[
"MIT"
] | null | null | null |
"""Unit tests for reviewboard.scmtools.manager.RepositoryManager."""
from __future__ import unicode_literals
from django.contrib.auth.models import AnonymousUser
from djblets.testing.decorators import add_fixtures
from reviewboard.scmtools.models import Repository
from reviewboard.testing import TestCase
class RepositoryManagerTests(TestCase):
"""Unit tests for reviewboard.scmtools.manager.RepositoryManager."""
fixtures = ['test_scmtools']
def test_accessible_with_public(self):
"""Testing Repository.objects.accessible with public repository"""
user = self.create_user()
repository = self.create_repository()
self.assertIn(repository,
Repository.objects.accessible(user))
self.assertIn(repository,
Repository.objects.accessible(AnonymousUser()))
def test_accessible_with_public_and_hidden(self):
"""Testing Repository.objects.accessible with public hidden
repository
"""
anonymous = AnonymousUser()
user = self.create_user()
repository = self.create_repository(visible=False)
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
self.assertNotIn(
repository,
Repository.objects.accessible(anonymous, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(anonymous, visible_only=False))
def test_accessible_with_private_and_not_member(self):
"""Testing Repository.objects.accessible with private repository and
user not a member
"""
anonymous = AnonymousUser()
user = self.create_user()
repository = self.create_repository(public=False)
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=False))
self.assertNotIn(
repository,
Repository.objects.accessible(anonymous, visible_only=True))
self.assertNotIn(
repository,
Repository.objects.accessible(anonymous, visible_only=False))
def test_accessible_with_private_and_member(self):
"""Testing Repository.objects.accessible with private repository and
user is a member
"""
user = self.create_user()
repository = self.create_repository(public=False)
repository.users.add(user)
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
def test_accessible_with_private_and_member_by_group(self):
"""Testing Repository.objects.accessible with private repository and
user is a member by group
"""
user = self.create_user()
group = self.create_review_group(invite_only=True)
group.users.add(user)
repository = self.create_repository(public=False)
repository.review_groups.add(group)
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
def test_accessible_with_private_and_superuser(self):
"""Testing Repository.objects.accessible with private repository and
user is a superuser
"""
user = self.create_user(is_superuser=True)
repository = self.create_repository(public=False)
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
def test_accessible_with_private_hidden_not_member(self):
"""Testing Repository.objects.accessible with private hidden
repository and user not a member
"""
anonymous = AnonymousUser()
user = self.create_user()
repository = self.create_repository(public=False,
visible=False)
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=False))
self.assertNotIn(
repository,
Repository.objects.accessible(anonymous, visible_only=True))
self.assertNotIn(
repository,
Repository.objects.accessible(anonymous, visible_only=False))
def test_accessible_with_private_hidden_and_member(self):
"""Testing Repository.objects.accessible with private hidden
repository and user is a member
"""
user = self.create_user()
repository = self.create_repository(public=False,
visible=False)
repository.users.add(user)
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
def test_accessible_with_private_hidden_and_member_by_group(self):
"""Testing Repository.objects.accessible with private hidden
repository and user is a member
"""
user = self.create_user()
group = self.create_review_group(invite_only=True)
group.users.add(user)
repository = self.create_repository(public=False,
visible=False)
repository.review_groups.add(group)
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
def test_accessible_with_private_hidden_and_superuser(self):
"""Testing Repository.objects.accessible with private hidden
repository and superuser
"""
user = self.create_user(is_superuser=True)
repository = self.create_repository(public=False,
visible=False)
self.assertNotIn(
repository,
Repository.objects.accessible(user, visible_only=True))
self.assertIn(
repository,
Repository.objects.accessible(user, visible_only=False))
@add_fixtures(['test_users', 'test_site'])
def test_accessible_with_local_site_accessible(self):
"""Testing Repository.objects.accessible with Local Site accessible by
user
"""
user = self.create_user(is_superuser=True)
repository = self.create_repository(with_local_site=True)
repository.local_site.users.add(user)
self.assertIn(
repository,
Repository.objects.accessible(user,
local_site=repository.local_site))
self.assertIn(
repository,
Repository.objects.accessible(user, show_all_local_sites=True))
| 35.995215
| 78
| 0.642031
| 734
| 7,523
| 6.393733
| 0.083106
| 0.141274
| 0.224377
| 0.220754
| 0.906456
| 0.88387
| 0.87492
| 0.797997
| 0.787769
| 0.78095
| 0
| 0
| 0.277815
| 7,523
| 208
| 79
| 36.168269
| 0.863795
| 0.136382
| 0
| 0.8
| 0
| 0
| 0.005111
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.078571
| false
| 0
| 0.035714
| 0
| 0.128571
| 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
|
928577df27a5fde31237abc61ec92a40ec5488ba
| 5,854
|
py
|
Python
|
ladim_plugins/sedimentation/test_ibm.py
|
mcarvajalino/ladim_plugins
|
a83ca24f41400e42d2beaddad455fdfdb7a3e1cd
|
[
"MIT"
] | null | null | null |
ladim_plugins/sedimentation/test_ibm.py
|
mcarvajalino/ladim_plugins
|
a83ca24f41400e42d2beaddad455fdfdb7a3e1cd
|
[
"MIT"
] | null | null | null |
ladim_plugins/sedimentation/test_ibm.py
|
mcarvajalino/ladim_plugins
|
a83ca24f41400e42d2beaddad455fdfdb7a3e1cd
|
[
"MIT"
] | null | null | null |
import numpy as np
from ladim_plugins.sedimentation import ibm
class Stub:
def __init__(self, **kwargs):
self._dic = kwargs
def __getattr__(self, item):
return self._dic[item]
class Test_update:
def test_does_not_resuspend_when_zero_velocity(self):
ibmconf = dict(lifespan=100, taucrit=0.12, vertical_mixing=0.01)
config = dict(dt=1, ibm=ibmconf)
my_ibm = ibm.IBM(config)
num = 5
vel = 0
w = 0
zr = np.zeros(num)
zrl = np.zeros_like
grid = Stub(sample_depth=lambda x, y: zrl(x) + 10)
forcing = Stub(velocity=lambda x, y, z, tstep=0: [zrl(x) + vel] * 2)
state = Stub(
X=zr, Y=zr, Z=zr + 10, active=zr, alive=zr == 0, age=zr,
sink_vel=zr + w, dt=config['dt'],
)
my_ibm.update_ibm(grid, state, forcing)
assert np.all(state.Z == 10)
def test_does_resuspend_when_high_velocity(self):
ibmconf = dict(lifespan=100, taucrit=0.12, vertical_mixing=0.01)
config = dict(dt=1, ibm=ibmconf)
my_ibm = ibm.IBM(config)
num = 5
vel = 1
w = 0
zr = np.zeros(num)
zrl = np.zeros_like
grid = Stub(sample_depth=lambda x, y: zrl(x) + 10)
forcing = Stub(velocity=lambda x, y, z, tstep=0: [zrl(x) + vel] * 2)
state = Stub(
X=zr, Y=zr, Z=zr + 10, active=zr, alive=zr == 0, age=zr,
sink_vel=zr + w, dt=config['dt'],
)
my_ibm.update_ibm(grid, state, forcing)
assert np.all(state.Z < 10)
def test_does_not_resuspend_when_zero_diffusion(self):
ibmconf = dict(lifespan=100, taucrit=0.12, vertical_mixing=0)
config = dict(dt=1, ibm=ibmconf)
my_ibm = ibm.IBM(config)
num = 5
vel = 1
w = 0
zr = np.zeros(num)
zrl = np.zeros_like
grid = Stub(sample_depth=lambda x, y: zrl(x) + 10)
forcing = Stub(velocity=lambda x, y, z, tstep=0: [zrl(x) + vel] * 2)
state = Stub(
X=zr, Y=zr, Z=zr + 10, active=zr, alive=zr == 0, age=zr,
sink_vel=zr + w, dt=config['dt'],
)
my_ibm.update_ibm(grid, state, forcing)
assert np.all(state.Z == 10)
def test_does_not_resuspend_when_large_sinkvel(self):
# On rare occasions, vertical mixing can overcome the sinking velocity
np.random.seed(0)
ibmconf = dict(lifespan=100, taucrit=0.12, vertical_mixing=0.01)
config = dict(dt=1, ibm=ibmconf)
my_ibm = ibm.IBM(config)
num = 5
vel = 1
w = 1
zr = np.zeros(num)
zrl = np.zeros_like
grid = Stub(sample_depth=lambda x, y: zrl(x) + 10)
forcing = Stub(velocity=lambda x, y, z, tstep=0: [zrl(x) + vel] * 2)
state = Stub(
X=zr, Y=zr, Z=zr + 10, active=zr, alive=zr == 0, age=zr,
sink_vel=zr + w, dt=config['dt'],
)
my_ibm.update_ibm(grid, state, forcing)
assert np.all(state.Z == 10)
class Test_ladis:
def test_exact_when_trivial(self):
x0 = np.array([[1, 2, 3], [4, 5, 6]])
t0 = 0
dt = 1
def advect_fn(x, _):
return np.zeros_like(x)
def diffuse_fn(x, _):
return np.zeros_like(x)
sol = ibm.ladis(x0, t0, t0 + dt, advect_fn, diffuse_fn)
assert sol.shape == x0.shape
assert sol.tolist() == x0.tolist()
def test_exact_when_linear(self):
x0 = np.array([[1, 2, 3], [4, 5, 6]])
t0 = 0
dt = 1
def advect_fn(x, _):
return np.ones_like(x) * [1, 2, 3]
def diffuse_fn(x, _):
return np.zeros_like(x)
sol = ibm.ladis(x0, t0, t0 + dt, advect_fn, diffuse_fn)
assert sol.tolist() == [[2, 4, 6], [5, 7, 9]]
def test_exact_when_linear_onedim(self):
x0 = np.array([1, 2, 3])
t0 = 0
dt = 1
def advect_fn(x, _):
return np.ones_like(x)
def diffuse_fn(x, _):
return np.zeros_like(x)
sol = ibm.ladis(x0, t0, t0 + dt, advect_fn, diffuse_fn)
assert sol.tolist() == [2, 3, 4]
def test_well_mixed_when_sqrt(self):
np.random.seed(0)
x0 = np.linspace(0, 1, 1001)[1:]
t0 = 0
dt = .001
numsteps = 1000
def advect_fn(x, _):
return np.zeros_like(x)
def diffuse_fn(x, _):
return np.sqrt(2*x)
sol = x0
t = t0
for i in range(numsteps):
sol = ibm.ladis(x0, t, t + dt, advect_fn, diffuse_fn)
# Reflective boundaries
sol[sol > 1] = 2 - sol[sol > 1]
sol[sol < 0] *= -1
# Check distribution
hist_num, hist_edges = np.histogram(sol, bins=np.arange(0, 1.05, .1))
too_low = hist_num < (len(x0) / len(hist_num)) * .8
too_high = hist_num > (len(x0) / len(hist_num)) * 1.2
assert not np.any(too_low)
assert not np.any(too_high)
def test_well_mixed_when_linear(self):
np.random.seed(0)
x0 = np.linspace(0, 1, 1001)[1:]
t0 = 0
dt = .001
numsteps = 1000
def advect_fn(x, _):
return np.zeros_like(x)
def diffuse_fn(x, _):
return x
sol = x0
t = t0
for i in range(numsteps):
sol = ibm.ladis(x0, t, t + dt, advect_fn, diffuse_fn)
# Reflective boundaries
sol[sol > 1] = 2 - sol[sol > 1]
sol[sol < 0] *= -1
# Check distribution
hist_num, hist_edges = np.histogram(sol, bins=np.arange(0, 1.05, .1))
too_low = hist_num < (len(x0) / len(hist_num)) * .8
too_high = hist_num > (len(x0) / len(hist_num)) * 1.2
assert not np.any(too_low)
assert not np.any(too_high)
| 27.613208
| 78
| 0.529894
| 876
| 5,854
| 3.381279
| 0.146119
| 0.033086
| 0.037137
| 0.033423
| 0.878461
| 0.850101
| 0.850101
| 0.832883
| 0.832883
| 0.832883
| 0
| 0.054194
| 0.338059
| 5,854
| 211
| 79
| 27.744076
| 0.710194
| 0.025624
| 0
| 0.768212
| 0
| 0
| 0.001404
| 0
| 0
| 0
| 0
| 0
| 0.07947
| 1
| 0.139073
| false
| 0
| 0.013245
| 0.072848
| 0.245033
| 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
|
92858bdfedf45f136fc19b1f05e9b00f498f9296
| 1,655
|
py
|
Python
|
cliente/models.py
|
Cecilis/control_aforo
|
9301ffe6b571d408e17ea3a5e73a607289c3a189
|
[
"MIT"
] | null | null | null |
cliente/models.py
|
Cecilis/control_aforo
|
9301ffe6b571d408e17ea3a5e73a607289c3a189
|
[
"MIT"
] | 6
|
2021-04-08T21:53:32.000Z
|
2022-02-10T09:42:06.000Z
|
cliente/models.py
|
Cecilis/control_aforo
|
9301ffe6b571d408e17ea3a5e73a607289c3a189
|
[
"MIT"
] | null | null | null |
# -*- encoding: utf-8 -*-
from djongo import models
class Cliente(models.Model):
_id = models.ObjectIdField()
nif = models.CharField(max_length=20, blank=False, default='')
razon_social = models.CharField(max_length=255, blank=False, default='')
direccion = models.CharField(max_length=255, blank=False, default='')
poblacion = models.CharField(max_length=255, blank=False, default='')
provincia = models.CharField(max_length=255, blank=False, default='')
codigo_postal = models.CharField(max_length=10, blank=False, default='')
telefono = models.CharField(max_length=20, blank=False, default='')
movil = models.CharField(max_length=20, blank=False, default='')
email = models.CharField(max_length=255, blank=False, default='')
administracion_nombre = models.CharField(max_length=255, blank=False, default='')
administracion_cargo = models.CharField(max_length=255, blank=False, default='')
administracion_telefono = models.CharField(max_length=20, blank=False, default='')
administracion_movil = models.CharField(max_length=20, blank=False, default='')
administracion_email = models.CharField(max_length=255, blank=False, default='')
tecnico_nombre = models.CharField(max_length=255, blank=False, default='')
tecnico_cargo = models.CharField(max_length=255, blank=False, default='')
tecnico_telefono = models.CharField(max_length=20, blank=False, default='')
tecnico_movil = models.CharField(max_length=20, blank=False, default='')
tecnico_email = models.CharField(max_length=255, blank=False, default='')
cliente_estado= models.BooleanField(blank=False, default=True)
| 63.653846
| 86
| 0.740181
| 205
| 1,655
| 5.814634
| 0.190244
| 0.167785
| 0.285235
| 0.38255
| 0.810403
| 0.810403
| 0.810403
| 0.810403
| 0.626678
| 0
| 0
| 0.034294
| 0.119033
| 1,655
| 25
| 87
| 66.2
| 0.783265
| 0.013897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.043478
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
2b7e146c1e3babe3c489216c8620b2745fc57900
| 230
|
py
|
Python
|
calla/GB/__init__.py
|
warmwaver/calla
|
6667bfc51e3ed66eb0ae3491f827b893e4d8aa0b
|
[
"MIT"
] | 7
|
2018-10-11T09:03:09.000Z
|
2022-02-23T01:34:12.000Z
|
calla/GB/__init__.py
|
warmwaver/calla
|
6667bfc51e3ed66eb0ae3491f827b893e4d8aa0b
|
[
"MIT"
] | null | null | null |
calla/GB/__init__.py
|
warmwaver/calla
|
6667bfc51e3ed66eb0ae3491f827b893e4d8aa0b
|
[
"MIT"
] | 1
|
2021-03-13T11:59:43.000Z
|
2021-03-13T11:59:43.000Z
|
from . import compressive_capacity
from . import crack_width
from . import flexural_capacity
from . import punching_shear_capacity
from . import shear_capacity
from . import CFST
from . import composite_bridge
from . import loads
| 25.555556
| 37
| 0.826087
| 31
| 230
| 5.903226
| 0.419355
| 0.437158
| 0.393443
| 0.251366
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13913
| 230
| 8
| 38
| 28.75
| 0.924242
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
2bd2f23b0a39452a4ba33af171cf7966b120261c
| 29,431
|
py
|
Python
|
main.py
|
Danikinz/01-Interactive-Fiction
|
634cf402412399ba020c8b790da4942ffcf8c089
|
[
"MIT"
] | null | null | null |
main.py
|
Danikinz/01-Interactive-Fiction
|
634cf402412399ba020c8b790da4942ffcf8c089
|
[
"MIT"
] | null | null | null |
main.py
|
Danikinz/01-Interactive-Fiction
|
634cf402412399ba020c8b790da4942ffcf8c089
|
[
"MIT"
] | null | null | null |
world = {
"uuid": "6AE3A0BB-66E6-4EFB-BEFD-B82C7C286326",
"name": "Bartender json",
"creator": "Twine",
"creatorVersion": "2.3.14",
"schemaName": "Harlowe 3 to JSON",
"schemaVersion": "0.0.6",
"createdAtMs": 1635476789374,
"passages": [
{
"name": "~Bartender~",
"tags": "",
"id": "1",
"text": "Tonight actually seems like it could be okay. Normally on a rainy Chicago night like this I'd do nothing but sleep and play with Brinks. He's not the most well-behaved cat, but he keeps me getting up everyday. I guess I should get up soon... \n\n[[Get out of bed->Home]]",
"links": [
{
"linkText": "Get out of bed",
"passageName": "Home",
"original": "[[Get out of bed->Home]]"
}
],
"hooks": [],
"cleanText": "Tonight actually seems like it could be okay. Normally on a rainy Chicago night like this I'd do nothing but sleep and play with Brinks. He's not the most well-behaved cat, but he keeps me getting up everyday. I guess I should get up soon..."
},
{
"name": "Work",
"tags": "",
"id": "2",
"text": "Another quiet night. It's a surprise that this place is still up and running. Even the name sounds like a joke. \"The Spot\". Yeah, maybe the spot of a thirty-year-old-unsolved-mystery. I can't even remember the last time any of our equipment was updated...\n\n\"Hello there, this is my first time in the city. What's something an old kook like myself would enjoy?\" \n\n[[Suggest a Gin and Tonic->Work (2)]]\n[[Suggest a Long Island->Work (3)]]",
"links": [
{
"linkText": "Suggest a Gin and Tonic",
"passageName": "Work (2)",
"original": "[[Suggest a Gin and Tonic->Work (2)]]"
},
{
"linkText": "Suggest a Long Island",
"passageName": "Work (3)",
"original": "[[Suggest a Long Island->Work (3)]]"
}
],
"hooks": [],
"cleanText": "Another quiet night. It's a surprise that this place is still up and running. Even the name sounds like a joke. \"The Spot\". Yeah, maybe the spot of a thirty-year-old-unsolved-mystery. I can't even remember the last time any of our equipment was updated...\n\n\"Hello there, this is my first time in the city. What's something an old kook like myself would enjoy?\""
},
{
"name": "Home",
"tags": "",
"id": "3",
"text": "I can't believe it's been three years already since I graduated. It was so nice to walk across that stage, diploma in hand, with my whole life ahead of me. My mom wasn't too happy though, she still says I should've majored in Biology and became a doctor. I guess my degree in Game Design didn't amount to much either, considering I'm still working at the bar up the street. Crap! I'm going to be late again. I need to go...\n\n[[Run to car->Work]]",
"links": [
{
"linkText": "Run to car",
"passageName": "Work",
"original": "[[Run to car->Work]]"
}
],
"hooks": [],
"cleanText": "I can't believe it's been three years already since I graduated. It was so nice to walk across that stage, diploma in hand, with my whole life ahead of me. My mom wasn't too happy though, she still says I should've majored in Biology and became a doctor. I guess my degree in Game Design didn't amount to much either, considering I'm still working at the bar up the street. Crap! I'm going to be late again. I need to go..."
},
{
"name": "Work (2)",
"tags": "",
"id": "4",
"text": "\"Refreshing. I like your style kid! Ring me up!\" \n\nWhy does he keep calling me kid? What a weirdo... \n\n\"I bet you think I'm a little weird, huh? I try to live life to the fullest, even if it makes me seems clueless!\" \n\nWoah is this guy some kind of jedi freak? Or maybe I just have a horrible poker face. Could be a bit of both honestly. \n\n\"What's your name? I sense that you're someone who's going through a rough patch and needs some guidance.\"\n\nWhat? My name? I know I work at a bar but damn is this guy forward! Ugh. I can't afford to have my tip cut but I also don't want to end up on some black market site. What should I do...? \n\n[[\"My name is Danielle\"->Work (*)]]\n[[\"I don't want to say\"->Work (5)]]",
"links": [
{
"linkText": "\"My name is Danielle\"",
"passageName": "Work (*)",
"original": "[[\"My name is Danielle\"->Work (*)]]"
},
{
"linkText": "\"I don't want to say\"",
"passageName": "Work (5)",
"original": "[[\"I don't want to say\"->Work (5)]]"
}
],
"hooks": [],
"cleanText": "\"Refreshing. I like your style kid! Ring me up!\" \n\nWhy does he keep calling me kid? What a weirdo... \n\n\"I bet you think I'm a little weird, huh? I try to live life to the fullest, even if it makes me seems clueless!\" \n\nWoah is this guy some kind of jedi freak? Or maybe I just have a horrible poker face. Could be a bit of both honestly. \n\n\"What's your name? I sense that you're someone who's going through a rough patch and needs some guidance.\"\n\nWhat? My name? I know I work at a bar but damn is this guy forward! Ugh. I can't afford to have my tip cut but I also don't want to end up on some black market site. What should I do...?"
},
{
"name": "Work (3)",
"tags": "",
"id": "5",
"text": "\"Wow! You must think highly of my tolerance! Just a water then.\"\n\nWhy's he smiling at me? I just gave him the first drink that came to my head. Whatever. I can't afford to waste energy on some strange old dude. I see like fifty of those a day in my line of work. \n\n\"Might I ask the name of the kind young soul serving me tonight?\" \n\nWhat the hell? Is this guy coming on to me or something? \n\n[[\"I'd rather not say\"->Work (5)]]",
"links": [
{
"linkText": "\"I'd rather not say\"",
"passageName": "Work (5)",
"original": "[[\"I'd rather not say\"->Work (5)]]"
}
],
"hooks": [],
"cleanText": "\"Wow! You must think highly of my tolerance! Just a water then.\"\n\nWhy's he smiling at me? I just gave him the first drink that came to my head. Whatever. I can't afford to waste energy on some strange old dude. I see like fifty of those a day in my line of work. \n\n\"Might I ask the name of the kind young soul serving me tonight?\" \n\nWhat the hell? Is this guy coming on to me or something?"
},
{
"name": "Work (*)",
"tags": "",
"id": "6",
"text": "\"What a beautiful name!\"\n\n\"Thanks.\" \n\n\"Of course. What made you work at a bar, Danielle?\"\n\n\"I just graduated not too long ago. I needed a job to make ends meet. It's not too bad, I get to meet new people, so.\" \n\n\"Ah, I see. Do you have a passion then? A dream you want to pursue?\"\n\n[[\"I should've been a doctor by now\"->Work (7a)]]\n[[\"I love game making and game design\"->Work (7b*)]]",
"links": [
{
"linkText": "\"I should've been a doctor by now\"",
"passageName": "Work (7a)",
"original": "[[\"I should've been a doctor by now\"->Work (7a)]]"
},
{
"linkText": "\"I love game making and game design\"",
"passageName": "Work (7b*)",
"original": "[[\"I love game making and game design\"->Work (7b*)]]"
}
],
"hooks": [],
"cleanText": "\"What a beautiful name!\"\n\n\"Thanks.\" \n\n\"Of course. What made you work at a bar, Danielle?\"\n\n\"I just graduated not too long ago. I needed a job to make ends meet. It's not too bad, I get to meet new people, so.\" \n\n\"Ah, I see. Do you have a passion then? A dream you want to pursue?\""
},
{
"name": "Work (5)",
"tags": "",
"id": "7",
"text": "\"That's quite alright. You probably have tens of wayward souls asking you that every night. My name is Donald, but everyone calls me 'Mr. Oracle', it's a pleasure to make your acquaintence.\"\n\nMan, this tip better be amazing.\n\n\"...Likewise.\" \n\n\"So, a bartender, eh? Is this what you always wanted to do?\" \n\nI've always hated that question. I feel like I can never give the right answer... as hard as I fought to do something I wanted after school I can't even bring myself to be honest. Maybe I should be honest... just this once...? \n\n[[\"I should've been a doctor\"->Work (7a)]]\n[[\"I should be working for a game company\"->Work (7b)]]",
"links": [
{
"linkText": "\"I should've been a doctor\"",
"passageName": "Work (7a)",
"original": "[[\"I should've been a doctor\"->Work (7a)]]"
},
{
"linkText": "\"I should be working for a game company\"",
"passageName": "Work (7b)",
"original": "[[\"I should be working for a game company\"->Work (7b)]]"
}
],
"hooks": [],
"cleanText": "\"That's quite alright. You probably have tens of wayward souls asking you that every night. My name is Donald, but everyone calls me 'Mr. Oracle', it's a pleasure to make your acquaintence.\"\n\nMan, this tip better be amazing.\n\n\"...Likewise.\" \n\n\"So, a bartender, eh? Is this what you always wanted to do?\" \n\nI've always hated that question. I feel like I can never give the right answer... as hard as I fought to do something I wanted after school I can't even bring myself to be honest. Maybe I should be honest... just this once...?"
},
{
"name": "Work (7a)",
"tags": "",
"id": "8",
"text": "Why's he making that face? He looks sad, like he forgot his umbrella in the rain cloud I just cast over him. \n\n\"Really now? That's impressive.\"\n\n\"Are you trying to be a smart ass?\" \n\nCrap. My mouth always gets me in trouble. He seems to have found it funny though. \n\n\"No no. I beg your forgiveness. Doctors play an important role in society, we wouldn't be anywhere without them! But I asked if that was what you wanted to do.\" \n\n[[\"That's what I just said, isnt it?\"->Work (End)]]",
"links": [
{
"linkText": "\"That's what I just said, isnt it?\"",
"passageName": "Work (End)",
"original": "[[\"That's what I just said, isnt it?\"->Work (End)]]"
}
],
"hooks": [],
"cleanText": "Why's he making that face? He looks sad, like he forgot his umbrella in the rain cloud I just cast over him. \n\n\"Really now? That's impressive.\"\n\n\"Are you trying to be a smart ass?\" \n\nCrap. My mouth always gets me in trouble. He seems to have found it funny though. \n\n\"No no. I beg your forgiveness. Doctors play an important role in society, we wouldn't be anywhere without them! But I asked if that was what you wanted to do.\""
},
{
"name": "Work (7b)",
"tags": "",
"id": "9",
"text": "Are those stars in his eyes?\n\n\"WOW! That's such an amazing dream! What have you been making? Have you been happy?\" \n\n\"I...\"\n\nWhy can't I find the words? He's looking at me so expectantly...I feel like I'm going to let him down, just like I let her down. Why can't I ever be honest with others? Honest with myself. \n\n\"Don't push yourself. I want you to know that I'm proud of you. I know I'm just a stranger you're meeting at the bar, but everyone deserves to pursue what makes them happy. It doesn't matter if you're good at something or not, all that matters is that drive and love that you have towards it.\"\n\nSuck it up. Let the words flow. Hopefully better than the water from the busted taps behind me. \n\n[[\"I have something I've been working on\"->Work (9)]]",
"links": [
{
"linkText": "\"I have something I've been working on\"",
"passageName": "Work (9)",
"original": "[[\"I have something I've been working on\"->Work (9)]]"
}
],
"hooks": [],
"cleanText": "Are those stars in his eyes?\n\n\"WOW! That's such an amazing dream! What have you been making? Have you been happy?\" \n\n\"I...\"\n\nWhy can't I find the words? He's looking at me so expectantly...I feel like I'm going to let him down, just like I let her down. Why can't I ever be honest with others? Honest with myself. \n\n\"Don't push yourself. I want you to know that I'm proud of you. I know I'm just a stranger you're meeting at the bar, but everyone deserves to pursue what makes them happy. It doesn't matter if you're good at something or not, all that matters is that drive and love that you have towards it.\"\n\nSuck it up. Let the words flow. Hopefully better than the water from the busted taps behind me."
},
{
"name": "Work (End)",
"tags": "",
"id": "10",
"text": "He's smiling again. Wide. \n\n\"I suppose you did already. You youngsters sure are smart these days!\" \n\nFinally, he's finishing his water glass. This has been the longest night of my life. Time for the best part: the tip. Wait... is he seriously leaving this much?! And what the hell is he writing on his napkin?\n\n\"Hey! Old guy, you left me way too much money! Come back!\"\n\nThere's that smile again.What did he write on this napkin? \n\n'I hope to see you again soon.'\n\nWhy do I get the feeling this may not be the last time I see him? Almost like when we meet again... things could be different. \nWhatever. I need to get to cleaning. Future doctors love cleaning... \n\n[[Play again?->Welcome]]\n[[Quit->Thank you!]]",
"links": [
{
"linkText": "Play again?",
"passageName": "~Bartender~",
"original": "[[Play again?->~Bartender~]]"
},
{
"linkText": "Quit",
"passageName": "Thank you!",
"original": "[[Quit->Thank you!]]"
}
],
"hooks": [],
"cleanText": "He's smiling again. Wide. \n\n\"I suppose you did already. You youngsters sure are smart these days!\" \n\nFinally, he's finishing his water glass. This has been the longest night of my life. Time for the best part: the tip. Wait... is he seriously leaving this much?! And what the hell is he writing on his napkin?\n\n\"Hey! Old guy, you left me way too much money! Come back!\"\n\nThere's that smile again.What did he write on this napkin? \n\n'I hope to see you again soon.'\n\nWhy do I get the feeling this may not be the last time I see him? Almost like when we meet again... things could be different. \nWhatever. I need to get to cleaning. Future doctors love cleaning..."
},
{
"name": "Thank you!",
"tags": "",
"id": "11",
"text": "Thank you for playing!",
"links": [],
"hooks": [],
"cleanText": "Thank you for playing!"
},
{
"name": "Work (9)",
"tags": "",
"id": "12",
"text": "\"Beautiful! Simply spectacular! Riveting! I'm in love! I love dreams. They don't call me 'Mr. Oracle' for naught. Dedicate yourself to your dreams, they deserve to be nurtured into fully-functioning adults. Allow yourself to love your dreams and they'll love you back!\" \n\nWhy is he reaching out to hug me? \n\n\"Let it out.\" \n\nHuh? Why is his shoulder wet...? \nOh. I'm crying. Why did I forget what that felt like? And why do I have the sudden urge to actually move forward? This is all so cliche it almost feels like it could be something straight out of a script. \n\n\"I... I want to move ahead with my life. For the longest I felt like my dreams were unimportant or dissapointing. But I just want to create and support people with my work! Why does that have to be hard?\" \n\n\"Listen, it's hard because you make it hard. No one can make you stop doing anything. Always know that I will be behind you.\"\n\n[[\"Thank you.\"->Work (11)]]",
"links": [
{
"linkText": "\"Thank you.\"",
"passageName": "Work (11)",
"original": "[[\"Thank you.\"->Work (11)]]"
}
],
"hooks": [],
"cleanText": "\"Beautiful! Simply spectacular! Riveting! I'm in love! I love dreams. They don't call me 'Mr. Oracle' for naught. Dedicate yourself to your dreams, they deserve to be nurtured into fully-functioning adults. Allow yourself to love your dreams and they'll love you back!\" \n\nWhy is he reaching out to hug me? \n\n\"Let it out.\" \n\nHuh? Why is his shoulder wet...? \nOh. I'm crying. Why did I forget what that felt like? And why do I have the sudden urge to actually move forward? This is all so cliche it almost feels like it could be something straight out of a script. \n\n\"I... I want to move ahead with my life. For the longest I felt like my dreams were unimportant or dissapointing. But I just want to create and support people with my work! Why does that have to be hard?\" \n\n\"Listen, it's hard because you make it hard. No one can make you stop doing anything. Always know that I will be behind you.\""
},
{
"name": "Work (11)",
"tags": "",
"id": "13",
"text": "It's the end of the night. Everything feels like it's falling into place. I even got the usual stragglers out before close. I feel... lovely. I want to go home and finish making my game. I feel like I can finally do it. I guess \"The Spot\" has had more of an impact on me than I wanted to give it. \n\n\"Sorry for shit talking ol' girl\"\n\n[[Head home->Work (13)]]",
"links": [
{
"linkText": "Head home",
"passageName": "Work (13)",
"original": "[[Head home->Work (13)]]"
}
],
"hooks": [],
"cleanText": "It's the end of the night. Everything feels like it's falling into place. I even got the usual stragglers out before close. I feel... lovely. I want to go home and finish making my game. I feel like I can finally do it. I guess \"The Spot\" has had more of an impact on me than I wanted to give it. \n\n\"Sorry for shit talking ol' girl\""
},
{
"name": "Work (13)",
"tags": "",
"id": "14",
"text": "It's been a week since I left 'The Spot'. I realized I had been using it as a crutch because I was too afraid to live out my dreams. My mom called the other day and we had a long conversation about what I want to do with the rest of my life. It took a lot to convince her, but after spilling my heart out to her, I can tell that she at least respects my decisions. I would love her full support, but at the end of the day, I know I at least have myself. \n\nEver since running into Donald the first night, I've made a point to stroll by 'The Spot'. I still haven't seen him since then, but I'll never forget his words to me that night. Or his kindness towards an asshole like me. \n\nI still need to come up with a name for my game...\n\nMaybe...'Bartender'?\n\n\n[[Play again->Welcome]]\n[[Quit->Thank you!]]",
"links": [
{
"linkText": "Play again",
"passageName": "~Bartender~",
"original": "[[Play again->~Bartender~]]"
},
{
"linkText": "Quit",
"passageName": "Thank you!",
"original": "[[Quit->Thank you!]]"
}
],
"hooks": [],
"cleanText": "It's been a week since I left 'The Spot'. I realized I had been using it as a crutch because I was too afraid to live out my dreams. My mom called the other day and we had a long conversation about what I want to do with the rest of my life. It took a lot to convince her, but after spilling my heart out to her, I can tell that she at least respects my decisions. I would love her full support, but at the end of the day, I know I at least have myself. \n\nEver since running into Donald the first night, I've made a point to stroll by 'The Spot'. I still haven't seen him since then, but I'll never forget his words to me that night. Or his kindness towards an asshole like me. \n\nI still need to come up with a name for my game...\n\nMaybe...'Bartender'?"
},
{
"name": "Work (7b*)",
"tags": "",
"id": "15",
"text": "Are those stars in his eyes?\n\n\"WOW! That's such an amazing dream! What have you been making? Have you been happy?\" \n\n\"I...\"\n\nWhy can't I find the words? He's looking at me so expectantly...I feel like I'm going to let him down, just like I let her down. Why can't I ever be honest with others? Honest with myself. \n\n\"Don't push yourself. I want you to know that I'm proud of you. I know I'm just a stranger you're meeting at the bar, but everyone deserves to pursue what makes them happy. It doesn't matter if you're good at something or not, all that matters is that drive and love that you have towards it.\"\n\nSuck it up. Let the words flow. Hopefully better than the water from the busted taps behind me. \n\n[[\"I have something I'm really excited about.\"->Work (9*)]]",
"links": [
{
"linkText": "\"I have something I'm really excited about.\"",
"passageName": "Work (9*)",
"original": "[[\"I have something I'm really excited about.\"->Work (9*)]]"
}
],
"hooks": [],
"cleanText": "Are those stars in his eyes?\n\n\"WOW! That's such an amazing dream! What have you been making? Have you been happy?\" \n\n\"I...\"\n\nWhy can't I find the words? He's looking at me so expectantly...I feel like I'm going to let him down, just like I let her down. Why can't I ever be honest with others? Honest with myself. \n\n\"Don't push yourself. I want you to know that I'm proud of you. I know I'm just a stranger you're meeting at the bar, but everyone deserves to pursue what makes them happy. It doesn't matter if you're good at something or not, all that matters is that drive and love that you have towards it.\"\n\nSuck it up. Let the words flow. Hopefully better than the water from the busted taps behind me."
},
{
"name": "Work (9*)",
"tags": "",
"id": "16",
"text": "\"Beautiful! Simply spectacular! Riveting! I'm in love! I love dreams. They don't call me 'Mr. Oracle' for naught. Dedicate yourself to your dreams, they deserve to be nurtured into fully-functioning adults. Allow yourself to love your dreams and they'll love you back!\" \n\nWhy is he reaching out to hug me? \n\n\"Let it out.\" \n\nHuh? Why is his shoulder wet...? \nOh. I'm crying. Why did I forget what that felt like? And why do I have the sudden urge to actually move forward? This is all so cliche it almost feels like it could be something straight out of a script. \n\n\"I... I want to move ahead with my life. For the longest I felt like my dreams were unimportant or dissapointing. But I just want to create and support people with my work! Why does that have to be hard?\" \n\nI can feel him slipping a small box into my coat pocket. Is there some type of flower shape on top? \n\n\"That's your new prized Zinnia box. Never forget yourself and where you want to go. And, more than anything, be gentle with yourself.\" \n\n[[\"Thank you\"->Work (10*)]]",
"links": [
{
"linkText": "\"Thank you\"",
"passageName": "Work (10*)",
"original": "[[\"Thank you\"->Work (10*)]]"
}
],
"hooks": [],
"cleanText": "\"Beautiful! Simply spectacular! Riveting! I'm in love! I love dreams. They don't call me 'Mr. Oracle' for naught. Dedicate yourself to your dreams, they deserve to be nurtured into fully-functioning adults. Allow yourself to love your dreams and they'll love you back!\" \n\nWhy is he reaching out to hug me? \n\n\"Let it out.\" \n\nHuh? Why is his shoulder wet...? \nOh. I'm crying. Why did I forget what that felt like? And why do I have the sudden urge to actually move forward? This is all so cliche it almost feels like it could be something straight out of a script. \n\n\"I... I want to move ahead with my life. For the longest I felt like my dreams were unimportant or dissapointing. But I just want to create and support people with my work! Why does that have to be hard?\" \n\nI can feel him slipping a small box into my coat pocket. Is there some type of flower shape on top? \n\n\"That's your new prized Zinnia box. Never forget yourself and where you want to go. And, more than anything, be gentle with yourself.\""
},
{
"name": "Work (10*)",
"tags": "",
"id": "17",
"text": "It's the end of the night. Everything feels like it's falling into place. I even got the usual stragglers out before close. I feel... lovely. I want to go home and finish making my game. I feel like I can finally do it. I guess \"The Spot\" has had more of an impact on me than I wanted to give it. \n\n\"Sorry for shit talking ol' girl\"\n\n[[Head home, with your head held high->Work (12*)]]",
"links": [
{
"linkText": "Head home, with your head held high",
"passageName": "Work (12*)",
"original": "[[Head home, with your head held high->Work (12*)]]"
}
],
"hooks": [],
"cleanText": "It's the end of the night. Everything feels like it's falling into place. I even got the usual stragglers out before close. I feel... lovely. I want to go home and finish making my game. I feel like I can finally do it. I guess \"The Spot\" has had more of an impact on me than I wanted to give it. \n\n\"Sorry for shit talking ol' girl\""
},
{
"name": "Work (12*)",
"tags": "",
"id": "18",
"text": "It's been a month since I left 'The Spot'. I realized I had been using it as a crutch because I was too afraid to live out my dreams. My mom called the other day and we had a long conversation about what I want to do with the rest of my life. It took a lot to convince her, but after spilling my heart out to her, I can tell that she at least respects my decisions. I would love her full support, but at the end of the day, I know I at least have myself. \n\nEver since running into Donald the first night, I've made a point to stroll by 'The Spot'. I still haven't seen him since then, but I'll never forget his words to me that night.\n\nI just started working at a new gaming company downtown two weeks ago. My cubicle is small, but it's more than I could ever ask for. I've decorated it with my graduation photo, a toy model of Brinks and my prized zinnia box.\n\nHmmm. I still need to come up with a name for my game...\n\nMaybe...'Bartender'?\n\n\n[[Play again->Welcome]]\n[[Quit->Thank you!]]",
"links": [
{
"linkText": "Play again",
"passageName": "~Bartender~",
"original": "[[Play again->~Bartender~]]"
},
{
"linkText": "Quit",
"passageName": "Thank you!",
"original": "[[Quit->Thank you!]]"
}
],
"hooks": [],
"cleanText": "It's been a month since I left 'The Spot'. I realized I had been using it as a crutch because I was too afraid to live out my dreams. My mom called the other day and we had a long conversation about what I want to do with the rest of my life. It took a lot to convince her, but after spilling my heart out to her, I can tell that she at least respects my decisions. I would love her full support, but at the end of the day, I know I at least have myself. \n\nEver since running into Donald the first night, I've made a point to stroll by 'The Spot'. I still haven't seen him since then, but I'll never forget his words to me that night.\n\nI just started working at a new gaming company downtown two weeks ago. My cubicle is small, but it's more than I could ever ask for. I've decorated it with my graduation photo, a toy model of Brinks and my prized zinnia box.\n\nHmmm. I still need to come up with a name for my game...\n\nMaybe...'Bartender'?"
}
]
}
def find_current_location(location_label):
if "passages" in world:
for passage in world["passages"]:
if location_label == passage["name"]:
return passage
return {}
def update(current_location, location_label, response):
if response =="":
return location_label
if "links" in current_location:
for link in current_location["links"]:
if link["linkText"] == response:
return link["passageName"]
print ("Check your spelling, also, the game is case sensitive!")
return location_label
def render(current_location, score, moves):
if "name" in current_location and "cleanText" in current_location:
print("Moves: " + str(moves) + ", Score: " + str(score))
print(current_location["name"] + "\n")
print(current_location["cleanText"] + "\n")
for link in current_location["links"]:
print(link["linkText"] + "\n")
#Get Input
#response = input("")
# for link in current_location["links"]:
# if response == link["linkText"]:
# current = link["passageName"]
def get_input():
response = input("Action: ")
# response = response.upper().strip()
return response
location_label = "~Bartender~"
current_location = {}
response = ""
score = 0
moves = 0
while True:
if response == "Quit":
break
moves = moves + 1
if "score" in current_location:
score = score + current_location["score"]
location_label = update(current_location, location_label, response)
current_location = find_current_location(location_label)
render(current_location, score, moves)
response = get_input()
| 79.115591
| 1,080
| 0.641025
| 4,985
| 29,431
| 3.778335
| 0.121163
| 0.008389
| 0.003345
| 0.005309
| 0.905548
| 0.883249
| 0.867534
| 0.856703
| 0.842262
| 0.835784
| 0
| 0.006089
| 0.2355
| 29,431
| 371
| 1,081
| 79.328841
| 0.831022
| 0.00581
| 0
| 0.28
| 0
| 0.142857
| 0.616607
| 0.013982
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011429
| false
| 0.091429
| 0.017143
| 0
| 0.045714
| 0.014286
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
a602684712df01e88cd492a74a8fbfd8ad97b2ac
| 514,952
|
py
|
Python
|
memory_pic.py
|
COLDRAINEND/ACGlovers-payment
|
7d96ffe32d2e83f03912585c842fa08fb565da1d
|
[
"Apache-2.0"
] | 2
|
2020-09-30T02:37:47.000Z
|
2021-05-20T08:35:43.000Z
|
memory_pic.py
|
COLDRAINEND/ACGlovers-payment
|
7d96ffe32d2e83f03912585c842fa08fb565da1d
|
[
"Apache-2.0"
] | null | null | null |
memory_pic.py
|
COLDRAINEND/ACGlovers-payment
|
7d96ffe32d2e83f03912585c842fa08fb565da1d
|
[
"Apache-2.0"
] | null | null | null |
diantu_png = "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"
receivable_png = "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"
weixin_gif = "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"
| 128,738
| 459,679
| 0.967587
| 15,663
| 514,952
| 31.811147
| 0.956075
| 0.000008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154722
| 0.000017
| 514,952
| 3
| 459,680
| 171,650.666667
| 0.812876
| 0
| 0
| 0
| 0
| 1
| 0.999899
| 0.999899
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a6c59337dca147bae61c25255c8a26a15c55b4ec
| 79,638
|
py
|
Python
|
isi_sdk/apis/event_api.py
|
Atomicology/isilon_sdk_python
|
91039da803ae37ed4abf8d2a3f59c333f3ef1866
|
[
"MIT"
] | null | null | null |
isi_sdk/apis/event_api.py
|
Atomicology/isilon_sdk_python
|
91039da803ae37ed4abf8d2a3f59c333f3ef1866
|
[
"MIT"
] | null | null | null |
isi_sdk/apis/event_api.py
|
Atomicology/isilon_sdk_python
|
91039da803ae37ed4abf8d2a3f59c333f3ef1866
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
EventApi.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 EventApi(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 create_event_alert_condition(self, event_alert_condition, **kwargs):
"""
Create a new alert condition.
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.create_event_alert_condition(event_alert_condition, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventAlertConditionCreateParams event_alert_condition: (required)
:return: CreateResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_alert_condition']
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 create_event_alert_condition" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_alert_condition' is set
if ('event_alert_condition' not in params) or (params['event_alert_condition'] is None):
raise ValueError("Missing the required parameter `event_alert_condition` when calling `create_event_alert_condition`")
resource_path = '/platform/3/event/alert-conditions'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_alert_condition' in params:
body_params = params['event_alert_condition']
# 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 = ['basic_auth']
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='CreateResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def create_event_channel(self, event_channel, **kwargs):
"""
Create a new channel.
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.create_event_channel(event_channel, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventChannelCreateParams event_channel: (required)
:return: CreateResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_channel']
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 create_event_channel" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_channel' is set
if ('event_channel' not in params) or (params['event_channel'] is None):
raise ValueError("Missing the required parameter `event_channel` when calling `create_event_channel`")
resource_path = '/platform/3/event/channels'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_channel' in params:
body_params = params['event_channel']
# 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 = ['basic_auth']
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='CreateResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def create_event_event(self, event_event, **kwargs):
"""
Create a test event.
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.create_event_event(event_event, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventEvent event_event: (required)
:return: CreateResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_event']
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 create_event_event" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_event' is set
if ('event_event' not in params) or (params['event_event'] is None):
raise ValueError("Missing the required parameter `event_event` when calling `create_event_event`")
resource_path = '/platform/3/event/events'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_event' in params:
body_params = params['event_event']
# 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 = ['basic_auth']
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='CreateResponse',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def delete_event_alert_condition(self, event_alert_condition_id, **kwargs):
"""
Delete the alert-condition.
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.delete_event_alert_condition(event_alert_condition_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_alert_condition_id: Delete the alert-condition. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_alert_condition_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 delete_event_alert_condition" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_alert_condition_id' is set
if ('event_alert_condition_id' not in params) or (params['event_alert_condition_id'] is None):
raise ValueError("Missing the required parameter `event_alert_condition_id` when calling `delete_event_alert_condition`")
resource_path = '/platform/3/event/alert-conditions/{EventAlertConditionId}'.replace('{format}', 'json')
path_params = {}
if 'event_alert_condition_id' in params:
path_params['EventAlertConditionId'] = params['event_alert_condition_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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def delete_event_alert_conditions(self, **kwargs):
"""
Bulk delete of alert conditions.
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.delete_event_alert_conditions(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str channel: Delete only conditions for this channel
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['channel']
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 delete_event_alert_conditions" % key
)
params[key] = val
del params['kwargs']
resource_path = '/platform/3/event/alert-conditions'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'channel' in params:
query_params['channel`'] = params['channel']
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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def delete_event_channel(self, event_channel_id, **kwargs):
"""
Delete the alert-condition.
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.delete_event_channel(event_channel_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_channel_id: Delete the alert-condition. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_channel_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 delete_event_channel" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_channel_id' is set
if ('event_channel_id' not in params) or (params['event_channel_id'] is None):
raise ValueError("Missing the required parameter `event_channel_id` when calling `delete_event_channel`")
resource_path = '/platform/3/event/channels/{EventChannelId}'.replace('{format}', 'json')
path_params = {}
if 'event_channel_id' in params:
path_params['EventChannelId'] = params['event_channel_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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_alert_condition(self, event_alert_condition_id, **kwargs):
"""
Retrieve the alert-condition.
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_event_alert_condition(event_alert_condition_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_alert_condition_id: Retrieve the alert-condition. (required)
:return: EventAlertConditions
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_alert_condition_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_event_alert_condition" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_alert_condition_id' is set
if ('event_alert_condition_id' not in params) or (params['event_alert_condition_id'] is None):
raise ValueError("Missing the required parameter `event_alert_condition_id` when calling `get_event_alert_condition`")
resource_path = '/platform/3/event/alert-conditions/{EventAlertConditionId}'.replace('{format}', 'json')
path_params = {}
if 'event_alert_condition_id' in params:
path_params['EventAlertConditionId'] = params['event_alert_condition_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 = ['basic_auth']
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='EventAlertConditions',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_categories(self, **kwargs):
"""
List all eventgroup categories.
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_event_categories(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int limit: Return no more than this many results at once (see resume).
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:return: EventCategoriesExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['limit', 'resume']
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_event_categories" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `get_event_categories`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/categories'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'limit' in params:
query_params['limit'] = params['limit']
if 'resume' in params:
query_params['resume'] = params['resume']
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 = ['basic_auth']
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='EventCategoriesExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_category(self, event_category_id, **kwargs):
"""
Retrieve the eventgroup category.
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_event_category(event_category_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_category_id: Retrieve the eventgroup category. (required)
:return: EventCategories
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_category_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_event_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_category_id' is set
if ('event_category_id' not in params) or (params['event_category_id'] is None):
raise ValueError("Missing the required parameter `event_category_id` when calling `get_event_category`")
resource_path = '/platform/3/event/categories/{EventCategoryId}'.replace('{format}', 'json')
path_params = {}
if 'event_category_id' in params:
path_params['EventCategoryId'] = params['event_category_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 = ['basic_auth']
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='EventCategories',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_channel(self, event_channel_id, **kwargs):
"""
Retrieve the alert-condition.
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_event_channel(event_channel_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_channel_id: Retrieve the alert-condition. (required)
:return: EventChannels
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_channel_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_event_channel" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_channel_id' is set
if ('event_channel_id' not in params) or (params['event_channel_id'] is None):
raise ValueError("Missing the required parameter `event_channel_id` when calling `get_event_channel`")
resource_path = '/platform/3/event/channels/{EventChannelId}'.replace('{format}', 'json')
path_params = {}
if 'event_channel_id' in params:
path_params['EventChannelId'] = params['event_channel_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 = ['basic_auth']
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='EventChannels',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventgroup_definition(self, event_eventgroup_definition_id, **kwargs):
"""
Retrieve the eventgroup definition.
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_event_eventgroup_definition(event_eventgroup_definition_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_eventgroup_definition_id: Retrieve the eventgroup definition. (required)
:return: EventEventgroupDefinitions
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_eventgroup_definition_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_event_eventgroup_definition" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_eventgroup_definition_id' is set
if ('event_eventgroup_definition_id' not in params) or (params['event_eventgroup_definition_id'] is None):
raise ValueError("Missing the required parameter `event_eventgroup_definition_id` when calling `get_event_eventgroup_definition`")
resource_path = '/platform/3/event/eventgroup-definitions/{EventEventgroupDefinitionId}'.replace('{format}', 'json')
path_params = {}
if 'event_eventgroup_definition_id' in params:
path_params['EventEventgroupDefinitionId'] = params['event_eventgroup_definition_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 = ['basic_auth']
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='EventEventgroupDefinitions',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventgroup_definitions(self, **kwargs):
"""
List all eventgroup definitions.
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_event_eventgroup_definitions(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category: Return eventgroups in the specified category
:param int limit: Return no more than this many results at once (see resume).
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:return: EventEventgroupDefinitionsExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['category', 'limit', 'resume']
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_event_eventgroup_definitions" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `get_event_eventgroup_definitions`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/eventgroup-definitions'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'category' in params:
query_params['category'] = params['category']
if 'limit' in params:
query_params['limit'] = params['limit']
if 'resume' in params:
query_params['resume'] = params['resume']
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 = ['basic_auth']
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='EventEventgroupDefinitionsExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventgroup_occurrence(self, event_eventgroup_occurrence_id, **kwargs):
"""
Retrieve individual eventgroup occurrence.
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_event_eventgroup_occurrence(event_eventgroup_occurrence_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_eventgroup_occurrence_id: Retrieve individual eventgroup occurrence. (required)
:return: EventEventgroupOccurrences
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_eventgroup_occurrence_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_event_eventgroup_occurrence" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_eventgroup_occurrence_id' is set
if ('event_eventgroup_occurrence_id' not in params) or (params['event_eventgroup_occurrence_id'] is None):
raise ValueError("Missing the required parameter `event_eventgroup_occurrence_id` when calling `get_event_eventgroup_occurrence`")
resource_path = '/platform/3/event/eventgroup-occurrences/{EventEventgroupOccurrenceId}'.replace('{format}', 'json')
path_params = {}
if 'event_eventgroup_occurrence_id' in params:
path_params['EventEventgroupOccurrenceId'] = params['event_eventgroup_occurrence_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 = ['basic_auth']
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='EventEventgroupOccurrences',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventgroup_occurrences(self, **kwargs):
"""
List all eventgroup occurrences.
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_event_eventgroup_occurrences(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param bool resolved: Filter for resolved eventgroups
:param str sort: The field that will be used for sorting.
:param int begin: events that are in progress after this time
:param int end: events that were in progress before this time
:param int event_count: events for which event_count > this
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:param str fixer: Filter for eventgroup fixer
:param bool ignore: Filter for ignored eventgroups
:param int limit: Return no more than this many results at once (see resume).
:param str cause: Filter for cause
:param str dir: The direction of the sort.
:return: EventEventgroupOccurrencesExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['resolved', 'sort', 'begin', 'end', 'event_count', 'resume', 'fixer', 'ignore', 'limit', 'cause', 'dir']
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_event_eventgroup_occurrences" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `get_event_eventgroup_occurrences`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/eventgroup-occurrences'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'resolved' in params:
query_params['resolved'] = params['resolved']
if 'sort' in params:
query_params['sort'] = params['sort']
if 'begin' in params:
query_params['begin'] = params['begin']
if 'end' in params:
query_params['end'] = params['end']
if 'event_count' in params:
query_params['event_count'] = params['event_count']
if 'resume' in params:
query_params['resume'] = params['resume']
if 'fixer' in params:
query_params['fixer'] = params['fixer']
if 'ignore' in params:
query_params['ignore'] = params['ignore']
if 'limit' in params:
query_params['limit'] = params['limit']
if 'cause' in params:
query_params['cause'] = params['cause']
if 'dir' in params:
query_params['dir'] = params['dir']
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 = ['basic_auth']
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='EventEventgroupOccurrencesExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventlist(self, event_eventlist_id, **kwargs):
"""
Retrieve the list of events for a eventgroup occureence.
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_event_eventlist(event_eventlist_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_eventlist_id: Retrieve the list of events for a eventgroup occureence. (required)
:return: EventEventlists
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_eventlist_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_event_eventlist" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_eventlist_id' is set
if ('event_eventlist_id' not in params) or (params['event_eventlist_id'] is None):
raise ValueError("Missing the required parameter `event_eventlist_id` when calling `get_event_eventlist`")
resource_path = '/platform/3/event/eventlists/{EventEventlistId}'.replace('{format}', 'json')
path_params = {}
if 'event_eventlist_id' in params:
path_params['EventEventlistId'] = params['event_eventlist_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 = ['basic_auth']
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='EventEventlists',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_eventlists(self, **kwargs):
"""
List all event occurrences grouped by eventgroup occurrence.
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_event_eventlists(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str event_instance: Return only this event occurrence
:param int limit: Return no more than this many results at once (see resume).
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:return: EventEventlistsExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_instance', 'limit', 'resume']
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_event_eventlists" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `get_event_eventlists`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/eventlists'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'event_instance' in params:
query_params['event_instance'] = params['event_instance']
if 'limit' in params:
query_params['limit'] = params['limit']
if 'resume' in params:
query_params['resume'] = params['resume']
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 = ['basic_auth']
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='EventEventlistsExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def get_event_settings(self, **kwargs):
"""
Retrieve the settings.
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_event_settings(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:return: EventSettings
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_event_settings" % key
)
params[key] = val
del params['kwargs']
resource_path = '/platform/3/event/settings'.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 = ['basic_auth']
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='EventSettings',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def list_event_alert_conditions(self, **kwargs):
"""
List all alert conditions.
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.list_event_alert_conditions(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str sort: The field that will be used for sorting.
:param str channel_ids: Return only conditions for the specified channel:
:param int limit: Return no more than this many results at once (see resume).
:param str dir: The direction of the sort.
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:return: EventAlertConditionsExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['sort', 'channel_ids', 'limit', 'dir', 'resume']
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 list_event_alert_conditions" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `list_event_alert_conditions`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/alert-conditions'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'sort' in params:
query_params['sort'] = params['sort']
if 'channel_ids' in params:
query_params['channel_ids'] = params['channel_ids']
if 'limit' in params:
query_params['limit'] = params['limit']
if 'dir' in params:
query_params['dir'] = params['dir']
if 'resume' in params:
query_params['resume'] = params['resume']
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 = ['basic_auth']
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='EventAlertConditionsExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def list_event_channels(self, **kwargs):
"""
List all channels.
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.list_event_channels(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int limit: Return no more than this many results at once (see resume).
:param str resume: Continue returning results from previous call using this token (token should come from the previous call, resume cannot be used with other options).
:return: EventChannelsExtended
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['limit', 'resume']
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 list_event_channels" % key
)
params[key] = val
del params['kwargs']
if 'limit' in params and params['limit'] < 1.0:
raise ValueError("Invalid value for parameter `limit` when calling `list_event_channels`, must be a value greater than or equal to `1.0`")
resource_path = '/platform/3/event/channels'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'limit' in params:
query_params['limit'] = params['limit']
if 'resume' in params:
query_params['resume'] = params['resume']
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 = ['basic_auth']
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='EventChannelsExtended',
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def update_event_alert_condition(self, event_alert_condition, event_alert_condition_id, **kwargs):
"""
Modify the alert-condition
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.update_event_alert_condition(event_alert_condition, event_alert_condition_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventAlertCondition event_alert_condition: (required)
:param str event_alert_condition_id: Modify the alert-condition (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_alert_condition', 'event_alert_condition_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 update_event_alert_condition" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_alert_condition' is set
if ('event_alert_condition' not in params) or (params['event_alert_condition'] is None):
raise ValueError("Missing the required parameter `event_alert_condition` when calling `update_event_alert_condition`")
# verify the required parameter 'event_alert_condition_id' is set
if ('event_alert_condition_id' not in params) or (params['event_alert_condition_id'] is None):
raise ValueError("Missing the required parameter `event_alert_condition_id` when calling `update_event_alert_condition`")
resource_path = '/platform/3/event/alert-conditions/{EventAlertConditionId}'.replace('{format}', 'json')
path_params = {}
if 'event_alert_condition_id' in params:
path_params['EventAlertConditionId'] = params['event_alert_condition_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_alert_condition' in params:
body_params = params['event_alert_condition']
# 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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def update_event_channel(self, event_channel, event_channel_id, **kwargs):
"""
Modify the alert-condition
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.update_event_channel(event_channel, event_channel_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventChannel event_channel: (required)
:param str event_channel_id: Modify the alert-condition (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_channel', 'event_channel_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 update_event_channel" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_channel' is set
if ('event_channel' not in params) or (params['event_channel'] is None):
raise ValueError("Missing the required parameter `event_channel` when calling `update_event_channel`")
# verify the required parameter 'event_channel_id' is set
if ('event_channel_id' not in params) or (params['event_channel_id'] is None):
raise ValueError("Missing the required parameter `event_channel_id` when calling `update_event_channel`")
resource_path = '/platform/3/event/channels/{EventChannelId}'.replace('{format}', 'json')
path_params = {}
if 'event_channel_id' in params:
path_params['EventChannelId'] = params['event_channel_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_channel' in params:
body_params = params['event_channel']
# 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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def update_event_eventgroup_occurrence(self, event_eventgroup_occurrence, event_eventgroup_occurrence_id, **kwargs):
"""
modify eventgroup occurrence.
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.update_event_eventgroup_occurrence(event_eventgroup_occurrence, event_eventgroup_occurrence_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventEventgroupOccurrence event_eventgroup_occurrence: (required)
:param str event_eventgroup_occurrence_id: modify eventgroup occurrence. (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_eventgroup_occurrence', 'event_eventgroup_occurrence_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 update_event_eventgroup_occurrence" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_eventgroup_occurrence' is set
if ('event_eventgroup_occurrence' not in params) or (params['event_eventgroup_occurrence'] is None):
raise ValueError("Missing the required parameter `event_eventgroup_occurrence` when calling `update_event_eventgroup_occurrence`")
# verify the required parameter 'event_eventgroup_occurrence_id' is set
if ('event_eventgroup_occurrence_id' not in params) or (params['event_eventgroup_occurrence_id'] is None):
raise ValueError("Missing the required parameter `event_eventgroup_occurrence_id` when calling `update_event_eventgroup_occurrence`")
resource_path = '/platform/3/event/eventgroup-occurrences/{EventEventgroupOccurrenceId}'.replace('{format}', 'json')
path_params = {}
if 'event_eventgroup_occurrence_id' in params:
path_params['EventEventgroupOccurrenceId'] = params['event_eventgroup_occurrence_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_eventgroup_occurrence' in params:
body_params = params['event_eventgroup_occurrence']
# 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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def update_event_eventgroup_occurrences(self, event_eventgroup_occurrences, **kwargs):
"""
Modify all eventgroup occurrences, resolve or ignore all
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.update_event_eventgroup_occurrences(event_eventgroup_occurrences, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventEventgroupOccurrence event_eventgroup_occurrences: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_eventgroup_occurrences']
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 update_event_eventgroup_occurrences" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_eventgroup_occurrences' is set
if ('event_eventgroup_occurrences' not in params) or (params['event_eventgroup_occurrences'] is None):
raise ValueError("Missing the required parameter `event_eventgroup_occurrences` when calling `update_event_eventgroup_occurrences`")
resource_path = '/platform/3/event/eventgroup-occurrences'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_eventgroup_occurrences' in params:
body_params = params['event_eventgroup_occurrences']
# 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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
def update_event_settings(self, event_settings, **kwargs):
"""
Update settings
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.update_event_settings(event_settings, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param EventSettings event_settings: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['event_settings']
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 update_event_settings" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'event_settings' is set
if ('event_settings' not in params) or (params['event_settings'] is None):
raise ValueError("Missing the required parameter `event_settings` when calling `update_event_settings`")
resource_path = '/platform/3/event/settings'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'event_settings' in params:
body_params = params['event_settings']
# 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 = ['basic_auth']
response = self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'))
return response
| 40.160363
| 175
| 0.558929
| 7,742
| 79,638
| 5.532033
| 0.037716
| 0.040346
| 0.022765
| 0.021294
| 0.899764
| 0.881902
| 0.868874
| 0.853907
| 0.84751
| 0.83817
| 0
| 0.001199
| 0.361034
| 79,638
| 1,982
| 176
| 40.180626
| 0.840467
| 0.261898
| 0
| 0.814532
| 0
| 0.005736
| 0.205549
| 0.071498
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023901
| false
| 0
| 0.006692
| 0
| 0.054493
| 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
|
471b1834469006d3de34af884f2f871123b2559b
| 118,726
|
py
|
Python
|
dingtalk/python/alibabacloud_dingtalk/esign_1_0/models.py
|
yndu13/dingtalk-sdk
|
700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f
|
[
"Apache-2.0"
] | 15
|
2020-08-27T04:10:26.000Z
|
2022-03-07T06:25:42.000Z
|
dingtalk/python/alibabacloud_dingtalk/esign_1_0/models.py
|
yndu13/dingtalk-sdk
|
700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f
|
[
"Apache-2.0"
] | 1
|
2020-09-27T01:30:46.000Z
|
2021-12-29T09:15:34.000Z
|
dingtalk/python/alibabacloud_dingtalk/esign_1_0/models.py
|
yndu13/dingtalk-sdk
|
700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f
|
[
"Apache-2.0"
] | 5
|
2020-08-27T04:07:44.000Z
|
2021-12-03T02:55:20.000Z
|
# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import Dict, List
class CorpInfoHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class CorpInfoResponseBodyData(TeaModel):
def __init__(
self,
real_name: bool = None,
org_real_name: str = None,
):
self.real_name = real_name
self.org_real_name = org_real_name
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.real_name is not None:
result['realName'] = self.real_name
if self.org_real_name is not None:
result['orgRealName'] = self.org_real_name
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('realName') is not None:
self.real_name = m.get('realName')
if m.get('orgRealName') is not None:
self.org_real_name = m.get('orgRealName')
return self
class CorpInfoResponseBody(TeaModel):
def __init__(
self,
data: CorpInfoResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = CorpInfoResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class CorpInfoResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: CorpInfoResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = CorpInfoResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class CreateDeveloperHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class CreateDeveloperRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
redirect_url: str = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.ding_corp_id = ding_corp_id
self.redirect_url = redirect_url
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.redirect_url is not None:
result['redirectUrl'] = self.redirect_url
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('redirectUrl') is not None:
self.redirect_url = m.get('redirectUrl')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class CreateDeveloperResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: bool = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
self.data = m.get('data')
return self
class CreateDeveloperResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: CreateDeveloperResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = CreateDeveloperResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetUserRealnameUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetUserRealnameUrlRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
user_id: str = None,
redirect_url: str = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.ding_corp_id = ding_corp_id
self.user_id = user_id
self.redirect_url = redirect_url
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.user_id is not None:
result['userId'] = self.user_id
if self.redirect_url is not None:
result['redirectUrl'] = self.redirect_url
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('userId') is not None:
self.user_id = m.get('userId')
if m.get('redirectUrl') is not None:
self.redirect_url = m.get('redirectUrl')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class GetUserRealnameUrlResponseBodyData(TeaModel):
def __init__(
self,
task_id: str = None,
pc_url: str = None,
mobile_url: str = None,
):
self.task_id = task_id
self.pc_url = pc_url
self.mobile_url = mobile_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
return self
class GetUserRealnameUrlResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: GetUserRealnameUrlResponseBodyData = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
temp_model = GetUserRealnameUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class GetUserRealnameUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetUserRealnameUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetUserRealnameUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetCorpRealnameUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetCorpRealnameUrlRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
user_id: str = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.ding_corp_id = ding_corp_id
self.user_id = user_id
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.user_id is not None:
result['userId'] = self.user_id
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('userId') is not None:
self.user_id = m.get('userId')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class GetCorpRealnameUrlResponseBodyData(TeaModel):
def __init__(
self,
task_id: str = None,
pc_url: str = None,
mobile_url: str = None,
):
self.task_id = task_id
self.pc_url = pc_url
self.mobile_url = mobile_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
return self
class GetCorpRealnameUrlResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: GetCorpRealnameUrlResponseBodyData = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
temp_model = GetCorpRealnameUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class GetCorpRealnameUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetCorpRealnameUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetCorpRealnameUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetFileHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetFileResponseBodyData(TeaModel):
def __init__(
self,
file_id: str = None,
name: str = None,
download_url: str = None,
size: int = None,
status: int = None,
pdf_total_pages: int = None,
):
self.file_id = file_id
self.name = name
self.download_url = download_url
self.size = size
self.status = status
self.pdf_total_pages = pdf_total_pages
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.file_id is not None:
result['fileId'] = self.file_id
if self.name is not None:
result['name'] = self.name
if self.download_url is not None:
result['downloadUrl'] = self.download_url
if self.size is not None:
result['size'] = self.size
if self.status is not None:
result['status'] = self.status
if self.pdf_total_pages is not None:
result['pdfTotalPages'] = self.pdf_total_pages
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('fileId') is not None:
self.file_id = m.get('fileId')
if m.get('name') is not None:
self.name = m.get('name')
if m.get('downloadUrl') is not None:
self.download_url = m.get('downloadUrl')
if m.get('size') is not None:
self.size = m.get('size')
if m.get('status') is not None:
self.status = m.get('status')
if m.get('pdfTotalPages') is not None:
self.pdf_total_pages = m.get('pdfTotalPages')
return self
class GetFileResponseBody(TeaModel):
def __init__(
self,
data: GetFileResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetFileResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetFileResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetFileResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetFileResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class AuthUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class AuthUrlRequest(TeaModel):
def __init__(
self,
redirect_url: str = None,
ding_corp_id: str = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.redirect_url = redirect_url
self.ding_corp_id = ding_corp_id
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.redirect_url is not None:
result['redirectUrl'] = self.redirect_url
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('redirectUrl') is not None:
self.redirect_url = m.get('redirectUrl')
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class AuthUrlResponseBodyData(TeaModel):
def __init__(
self,
task_id: str = None,
mobile_url: str = None,
pc_url: str = None,
):
self.task_id = task_id
self.mobile_url = mobile_url
self.pc_url = pc_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
return self
class AuthUrlResponseBody(TeaModel):
def __init__(
self,
data: AuthUrlResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = AuthUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class AuthUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: AuthUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = AuthUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class CancelCorpAuthHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class CancelCorpAuthResponseBodyData(TeaModel):
def __init__(
self,
result: bool = None,
):
self.result = result
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.result is not None:
result['result'] = self.result
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('result') is not None:
self.result = m.get('result')
return self
class CancelCorpAuthResponseBody(TeaModel):
def __init__(
self,
data: CancelCorpAuthResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = CancelCorpAuthResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class CancelCorpAuthResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: CancelCorpAuthResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = CancelCorpAuthResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetSignNoticeUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetSignNoticeUrlRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
task_id: str = None,
ding_suite_key: str = None,
ding_isv_access_token: str = None,
):
self.ding_corp_id = ding_corp_id
self.task_id = task_id
self.ding_suite_key = ding_suite_key
self.ding_isv_access_token = ding_isv_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.task_id is not None:
result['taskId'] = self.task_id
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
return self
class GetSignNoticeUrlResponseBodyData(TeaModel):
def __init__(
self,
pc_url: str = None,
mobile_url: str = None,
):
# PC端URL
self.pc_url = pc_url
# 移动端URL
self.mobile_url = mobile_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
return self
class GetSignNoticeUrlResponseBody(TeaModel):
def __init__(
self,
data: GetSignNoticeUrlResponseBodyData = None,
code: int = None,
message: str = None,
):
# 返回数据
self.data = data
# 返回错误码
self.code = code
# 返回结果信息
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetSignNoticeUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetSignNoticeUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetSignNoticeUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetSignNoticeUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetUploadUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetUploadUrlRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
content_type: str = None,
content_md_5: str = None,
convert_2pdf: bool = None,
file_name: str = None,
file_size: int = None,
):
self.ding_corp_id = ding_corp_id
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
self.content_type = content_type
self.content_md_5 = content_md_5
self.convert_2pdf = convert_2pdf
self.file_name = file_name
self.file_size = file_size
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
if self.content_type is not None:
result['contentType'] = self.content_type
if self.content_md_5 is not None:
result['contentMd5'] = self.content_md_5
if self.convert_2pdf is not None:
result['convert2Pdf'] = self.convert_2pdf
if self.file_name is not None:
result['fileName'] = self.file_name
if self.file_size is not None:
result['fileSize'] = self.file_size
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
if m.get('contentType') is not None:
self.content_type = m.get('contentType')
if m.get('contentMd5') is not None:
self.content_md_5 = m.get('contentMd5')
if m.get('convert2Pdf') is not None:
self.convert_2pdf = m.get('convert2Pdf')
if m.get('fileName') is not None:
self.file_name = m.get('fileName')
if m.get('fileSize') is not None:
self.file_size = m.get('fileSize')
return self
class GetUploadUrlResponseBodyData(TeaModel):
def __init__(
self,
file_id: str = None,
upload_url: str = None,
):
self.file_id = file_id
self.upload_url = upload_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.file_id is not None:
result['fileId'] = self.file_id
if self.upload_url is not None:
result['uploadUrl'] = self.upload_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('fileId') is not None:
self.file_id = m.get('fileId')
if m.get('uploadUrl') is not None:
self.upload_url = m.get('uploadUrl')
return self
class GetUploadUrlResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: GetUploadUrlResponseBodyData = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
temp_model = GetUploadUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class GetUploadUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetUploadUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetUploadUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class ListSealApprovalHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class ListSealApprovalRequest(TeaModel):
def __init__(
self,
task_id: str = None,
):
self.task_id = task_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
return self
class ListSealApprovalResponseBodyDataApprovalNodes(TeaModel):
def __init__(
self,
approver_name: str = None,
status: str = None,
start_time: int = None,
approval_time: int = None,
):
self.approver_name = approver_name
self.status = status
self.start_time = start_time
self.approval_time = approval_time
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.approver_name is not None:
result['approverName'] = self.approver_name
if self.status is not None:
result['status'] = self.status
if self.start_time is not None:
result['startTime'] = self.start_time
if self.approval_time is not None:
result['approvalTime'] = self.approval_time
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('approverName') is not None:
self.approver_name = m.get('approverName')
if m.get('status') is not None:
self.status = m.get('status')
if m.get('startTime') is not None:
self.start_time = m.get('startTime')
if m.get('approvalTime') is not None:
self.approval_time = m.get('approvalTime')
return self
class ListSealApprovalResponseBodyData(TeaModel):
def __init__(
self,
approval_name: str = None,
status: str = None,
refuse_reason: str = None,
sponsor_account_name: str = None,
start_time: int = None,
end_time: int = None,
seal_id_img: str = None,
approval_nodes: List[ListSealApprovalResponseBodyDataApprovalNodes] = None,
):
self.approval_name = approval_name
self.status = status
self.refuse_reason = refuse_reason
self.sponsor_account_name = sponsor_account_name
self.start_time = start_time
self.end_time = end_time
self.seal_id_img = seal_id_img
self.approval_nodes = approval_nodes
def validate(self):
if self.approval_nodes:
for k in self.approval_nodes:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.approval_name is not None:
result['approvalName'] = self.approval_name
if self.status is not None:
result['status'] = self.status
if self.refuse_reason is not None:
result['refuseReason'] = self.refuse_reason
if self.sponsor_account_name is not None:
result['sponsorAccountName'] = self.sponsor_account_name
if self.start_time is not None:
result['startTime'] = self.start_time
if self.end_time is not None:
result['endTime'] = self.end_time
if self.seal_id_img is not None:
result['sealIdImg'] = self.seal_id_img
result['approvalNodes'] = []
if self.approval_nodes is not None:
for k in self.approval_nodes:
result['approvalNodes'].append(k.to_map() if k else None)
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('approvalName') is not None:
self.approval_name = m.get('approvalName')
if m.get('status') is not None:
self.status = m.get('status')
if m.get('refuseReason') is not None:
self.refuse_reason = m.get('refuseReason')
if m.get('sponsorAccountName') is not None:
self.sponsor_account_name = m.get('sponsorAccountName')
if m.get('startTime') is not None:
self.start_time = m.get('startTime')
if m.get('endTime') is not None:
self.end_time = m.get('endTime')
if m.get('sealIdImg') is not None:
self.seal_id_img = m.get('sealIdImg')
self.approval_nodes = []
if m.get('approvalNodes') is not None:
for k in m.get('approvalNodes'):
temp_model = ListSealApprovalResponseBodyDataApprovalNodes()
self.approval_nodes.append(temp_model.from_map(k))
return self
class ListSealApprovalResponseBody(TeaModel):
def __init__(
self,
data: List[ListSealApprovalResponseBodyData] = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
for k in self.data:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
result['data'] = []
if self.data is not None:
for k in self.data:
result['data'].append(k.to_map() if k else None)
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
self.data = []
if m.get('data') is not None:
for k in m.get('data'):
temp_model = ListSealApprovalResponseBodyData()
self.data.append(temp_model.from_map(k))
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class ListSealApprovalResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: ListSealApprovalResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = ListSealApprovalResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class ContractMarginHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class ContractMarginResponseBodyData(TeaModel):
def __init__(
self,
margin: int = None,
):
self.margin = margin
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.margin is not None:
result['margin'] = self.margin
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('margin') is not None:
self.margin = m.get('margin')
return self
class ContractMarginResponseBody(TeaModel):
def __init__(
self,
data: ContractMarginResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = ContractMarginResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class ContractMarginResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: ContractMarginResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = ContractMarginResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetFlowDetailHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetFlowDetailRequest(TeaModel):
def __init__(
self,
task_id: str = None,
):
self.task_id = task_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
return self
class GetFlowDetailResponseBodyDataLogs(TeaModel):
def __init__(
self,
operator_account_name: str = None,
log_type: str = None,
operate_description: str = None,
operate_time: int = None,
):
self.operator_account_name = operator_account_name
self.log_type = log_type
self.operate_description = operate_description
self.operate_time = operate_time
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.operator_account_name is not None:
result['operatorAccountName'] = self.operator_account_name
if self.log_type is not None:
result['logType'] = self.log_type
if self.operate_description is not None:
result['operateDescription'] = self.operate_description
if self.operate_time is not None:
result['operateTime'] = self.operate_time
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('operatorAccountName') is not None:
self.operator_account_name = m.get('operatorAccountName')
if m.get('logType') is not None:
self.log_type = m.get('logType')
if m.get('operateDescription') is not None:
self.operate_description = m.get('operateDescription')
if m.get('operateTime') is not None:
self.operate_time = m.get('operateTime')
return self
class GetFlowDetailResponseBodyData(TeaModel):
def __init__(
self,
business_sense: str = None,
flow_status: int = None,
initiator_authorized_name: str = None,
initiator_name: str = None,
logs: List[GetFlowDetailResponseBodyDataLogs] = None,
):
self.business_sense = business_sense
self.flow_status = flow_status
self.initiator_authorized_name = initiator_authorized_name
self.initiator_name = initiator_name
self.logs = logs
def validate(self):
if self.logs:
for k in self.logs:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.business_sense is not None:
result['businessSense'] = self.business_sense
if self.flow_status is not None:
result['flowStatus'] = self.flow_status
if self.initiator_authorized_name is not None:
result['initiatorAuthorizedName'] = self.initiator_authorized_name
if self.initiator_name is not None:
result['initiatorName'] = self.initiator_name
result['logs'] = []
if self.logs is not None:
for k in self.logs:
result['logs'].append(k.to_map() if k else None)
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('businessSense') is not None:
self.business_sense = m.get('businessSense')
if m.get('flowStatus') is not None:
self.flow_status = m.get('flowStatus')
if m.get('initiatorAuthorizedName') is not None:
self.initiator_authorized_name = m.get('initiatorAuthorizedName')
if m.get('initiatorName') is not None:
self.initiator_name = m.get('initiatorName')
self.logs = []
if m.get('logs') is not None:
for k in m.get('logs'):
temp_model = GetFlowDetailResponseBodyDataLogs()
self.logs.append(temp_model.from_map(k))
return self
class GetFlowDetailResponseBody(TeaModel):
def __init__(
self,
data: GetFlowDetailResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetFlowDetailResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetFlowDetailResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetFlowDetailResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetFlowDetailResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetProcessStartUrlHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetProcessStartUrlRequestFiles(TeaModel):
def __init__(
self,
file_id: str = None,
file_name: str = None,
):
self.file_id = file_id
self.file_name = file_name
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.file_id is not None:
result['fileId'] = self.file_id
if self.file_name is not None:
result['fileName'] = self.file_name
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('fileId') is not None:
self.file_id = m.get('fileId')
if m.get('fileName') is not None:
self.file_name = m.get('fileName')
return self
class GetProcessStartUrlRequestParticipants(TeaModel):
def __init__(
self,
account_type: str = None,
ding_corp_id: str = None,
sign_requirements: str = None,
user_id: str = None,
account: str = None,
account_name: str = None,
org_name: str = None,
):
self.account_type = account_type
self.ding_corp_id = ding_corp_id
self.sign_requirements = sign_requirements
self.user_id = user_id
self.account = account
self.account_name = account_name
self.org_name = org_name
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.account_type is not None:
result['accountType'] = self.account_type
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.sign_requirements is not None:
result['signRequirements'] = self.sign_requirements
if self.user_id is not None:
result['userId'] = self.user_id
if self.account is not None:
result['account'] = self.account
if self.account_name is not None:
result['accountName'] = self.account_name
if self.org_name is not None:
result['orgName'] = self.org_name
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('accountType') is not None:
self.account_type = m.get('accountType')
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('signRequirements') is not None:
self.sign_requirements = m.get('signRequirements')
if m.get('userId') is not None:
self.user_id = m.get('userId')
if m.get('account') is not None:
self.account = m.get('account')
if m.get('accountName') is not None:
self.account_name = m.get('accountName')
if m.get('orgName') is not None:
self.org_name = m.get('orgName')
return self
class GetProcessStartUrlRequestSourceInfo(TeaModel):
def __init__(
self,
mobile_url: str = None,
pc_url: str = None,
show_text: str = None,
):
self.mobile_url = mobile_url
self.pc_url = pc_url
self.show_text = show_text
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
if self.show_text is not None:
result['showText'] = self.show_text
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
if m.get('showText') is not None:
self.show_text = m.get('showText')
return self
class GetProcessStartUrlRequestCcs(TeaModel):
def __init__(
self,
account_type: str = None,
ding_corp_id: str = None,
user_id: str = None,
account: str = None,
account_name: str = None,
org_name: str = None,
):
self.account_type = account_type
self.ding_corp_id = ding_corp_id
self.user_id = user_id
self.account = account
self.account_name = account_name
self.org_name = org_name
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.account_type is not None:
result['accountType'] = self.account_type
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.user_id is not None:
result['userId'] = self.user_id
if self.account is not None:
result['account'] = self.account
if self.account_name is not None:
result['accountName'] = self.account_name
if self.org_name is not None:
result['orgName'] = self.org_name
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('accountType') is not None:
self.account_type = m.get('accountType')
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('userId') is not None:
self.user_id = m.get('userId')
if m.get('account') is not None:
self.account = m.get('account')
if m.get('accountName') is not None:
self.account_name = m.get('accountName')
if m.get('orgName') is not None:
self.org_name = m.get('orgName')
return self
class GetProcessStartUrlRequest(TeaModel):
def __init__(
self,
files: List[GetProcessStartUrlRequestFiles] = None,
ding_corp_id: str = None,
initiator_user_id: str = None,
participants: List[GetProcessStartUrlRequestParticipants] = None,
redirect_url: str = None,
source_info: GetProcessStartUrlRequestSourceInfo = None,
task_name: str = None,
ccs: List[GetProcessStartUrlRequestCcs] = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.files = files
self.ding_corp_id = ding_corp_id
self.initiator_user_id = initiator_user_id
self.participants = participants
self.redirect_url = redirect_url
self.source_info = source_info
self.task_name = task_name
self.ccs = ccs
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
if self.files:
for k in self.files:
if k:
k.validate()
if self.participants:
for k in self.participants:
if k:
k.validate()
if self.source_info:
self.source_info.validate()
if self.ccs:
for k in self.ccs:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
result['files'] = []
if self.files is not None:
for k in self.files:
result['files'].append(k.to_map() if k else None)
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.initiator_user_id is not None:
result['initiatorUserId'] = self.initiator_user_id
result['participants'] = []
if self.participants is not None:
for k in self.participants:
result['participants'].append(k.to_map() if k else None)
if self.redirect_url is not None:
result['redirectUrl'] = self.redirect_url
if self.source_info is not None:
result['sourceInfo'] = self.source_info.to_map()
if self.task_name is not None:
result['taskName'] = self.task_name
result['ccs'] = []
if self.ccs is not None:
for k in self.ccs:
result['ccs'].append(k.to_map() if k else None)
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
self.files = []
if m.get('files') is not None:
for k in m.get('files'):
temp_model = GetProcessStartUrlRequestFiles()
self.files.append(temp_model.from_map(k))
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('initiatorUserId') is not None:
self.initiator_user_id = m.get('initiatorUserId')
self.participants = []
if m.get('participants') is not None:
for k in m.get('participants'):
temp_model = GetProcessStartUrlRequestParticipants()
self.participants.append(temp_model.from_map(k))
if m.get('redirectUrl') is not None:
self.redirect_url = m.get('redirectUrl')
if m.get('sourceInfo') is not None:
temp_model = GetProcessStartUrlRequestSourceInfo()
self.source_info = temp_model.from_map(m['sourceInfo'])
if m.get('taskName') is not None:
self.task_name = m.get('taskName')
self.ccs = []
if m.get('ccs') is not None:
for k in m.get('ccs'):
temp_model = GetProcessStartUrlRequestCcs()
self.ccs.append(temp_model.from_map(k))
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class GetProcessStartUrlResponseBodyData(TeaModel):
def __init__(
self,
task_id: str = None,
pc_url: str = None,
mobile_url: str = None,
):
self.task_id = task_id
self.pc_url = pc_url
self.mobile_url = mobile_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
if self.pc_url is not None:
result['pcUrl'] = self.pc_url
if self.mobile_url is not None:
result['mobileUrl'] = self.mobile_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
if m.get('pcUrl') is not None:
self.pc_url = m.get('pcUrl')
if m.get('mobileUrl') is not None:
self.mobile_url = m.get('mobileUrl')
return self
class GetProcessStartUrlResponseBody(TeaModel):
def __init__(
self,
message: str = None,
code: int = None,
data: GetProcessStartUrlResponseBodyData = None,
):
self.message = message
self.code = code
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.message is not None:
result['message'] = self.message
if self.code is not None:
result['code'] = self.code
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('message') is not None:
self.message = m.get('message')
if m.get('code') is not None:
self.code = m.get('code')
if m.get('data') is not None:
temp_model = GetProcessStartUrlResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class GetProcessStartUrlResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetProcessStartUrlResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetProcessStartUrlResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class CorpConsoleHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class CorpConsoleResponseBodyData(TeaModel):
def __init__(
self,
org_console_url: int = None,
):
self.org_console_url = org_console_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.org_console_url is not None:
result['orgConsoleUrl'] = self.org_console_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('orgConsoleUrl') is not None:
self.org_console_url = m.get('orgConsoleUrl')
return self
class CorpConsoleResponseBody(TeaModel):
def __init__(
self,
data: CorpConsoleResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = CorpConsoleResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class CorpConsoleResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: CorpConsoleResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = CorpConsoleResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class ListFlowDocsHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class ListFlowDocsRequest(TeaModel):
def __init__(
self,
task_id: str = None,
):
self.task_id = task_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
return self
class ListFlowDocsResponseBodyData(TeaModel):
def __init__(
self,
file_id: str = None,
file_name: str = None,
file_url: str = None,
):
self.file_id = file_id
self.file_name = file_name
self.file_url = file_url
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.file_id is not None:
result['fileId'] = self.file_id
if self.file_name is not None:
result['fileName'] = self.file_name
if self.file_url is not None:
result['fileUrl'] = self.file_url
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('fileId') is not None:
self.file_id = m.get('fileId')
if m.get('fileName') is not None:
self.file_name = m.get('fileName')
if m.get('fileUrl') is not None:
self.file_url = m.get('fileUrl')
return self
class ListFlowDocsResponseBody(TeaModel):
def __init__(
self,
data: List[ListFlowDocsResponseBodyData] = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
for k in self.data:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
result['data'] = []
if self.data is not None:
for k in self.data:
result['data'].append(k.to_map() if k else None)
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
self.data = []
if m.get('data') is not None:
for k in m.get('data'):
temp_model = ListFlowDocsResponseBodyData()
self.data.append(temp_model.from_map(k))
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class ListFlowDocsResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: ListFlowDocsResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = ListFlowDocsResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetUserInfoHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetUserInfoResponseBodyData(TeaModel):
def __init__(
self,
real_name: bool = None,
user_real_name: str = None,
):
self.real_name = real_name
self.user_real_name = user_real_name
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.real_name is not None:
result['realName'] = self.real_name
if self.user_real_name is not None:
result['userRealName'] = self.user_real_name
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('realName') is not None:
self.real_name = m.get('realName')
if m.get('userRealName') is not None:
self.user_real_name = m.get('userRealName')
return self
class GetUserInfoResponseBody(TeaModel):
def __init__(
self,
data: GetUserInfoResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetUserInfoResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetUserInfoResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetUserInfoResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetUserInfoResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetCropStatusHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetCropStatusResponseBodyData(TeaModel):
def __init__(
self,
auth_status: str = None,
install_status: str = None,
):
self.auth_status = auth_status
self.install_status = install_status
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.auth_status is not None:
result['authStatus'] = self.auth_status
if self.install_status is not None:
result['installStatus'] = self.install_status
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('authStatus') is not None:
self.auth_status = m.get('authStatus')
if m.get('installStatus') is not None:
self.install_status = m.get('installStatus')
return self
class GetCropStatusResponseBody(TeaModel):
def __init__(
self,
data: GetCropStatusResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetCropStatusResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetCropStatusResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetCropStatusResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetCropStatusResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class ChannelOrderHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class ChannelOrderRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
item_code: str = None,
item_name: str = None,
order_create_time: int = None,
order_id: str = None,
pay_fee: int = None,
quantity: int = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.ding_corp_id = ding_corp_id
self.item_code = item_code
self.item_name = item_name
self.order_create_time = order_create_time
self.order_id = order_id
self.pay_fee = pay_fee
self.quantity = quantity
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.item_code is not None:
result['itemCode'] = self.item_code
if self.item_name is not None:
result['itemName'] = self.item_name
if self.order_create_time is not None:
result['orderCreateTime'] = self.order_create_time
if self.order_id is not None:
result['orderId'] = self.order_id
if self.pay_fee is not None:
result['payFee'] = self.pay_fee
if self.quantity is not None:
result['quantity'] = self.quantity
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('itemCode') is not None:
self.item_code = m.get('itemCode')
if m.get('itemName') is not None:
self.item_name = m.get('itemName')
if m.get('orderCreateTime') is not None:
self.order_create_time = m.get('orderCreateTime')
if m.get('orderId') is not None:
self.order_id = m.get('orderId')
if m.get('payFee') is not None:
self.pay_fee = m.get('payFee')
if m.get('quantity') is not None:
self.quantity = m.get('quantity')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class ChannelOrderResponseBodyData(TeaModel):
def __init__(
self,
esign_order_id: str = None,
):
self.esign_order_id = esign_order_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.esign_order_id is not None:
result['esignOrderId'] = self.esign_order_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('esignOrderId') is not None:
self.esign_order_id = m.get('esignOrderId')
return self
class ChannelOrderResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: ChannelOrderResponseBodyData = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
temp_model = ChannelOrderResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class ChannelOrderResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: ChannelOrderResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = ChannelOrderResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class OrderResaleHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class OrderResaleRequest(TeaModel):
def __init__(
self,
ding_corp_id: str = None,
service_start_time: int = None,
service_stop_time: int = None,
order_create_time: int = None,
order_id: str = None,
quantity: int = None,
ding_isv_access_token: str = None,
ding_suite_key: str = None,
):
self.ding_corp_id = ding_corp_id
self.service_start_time = service_start_time
self.service_stop_time = service_stop_time
self.order_create_time = order_create_time
self.order_id = order_id
self.quantity = quantity
self.ding_isv_access_token = ding_isv_access_token
self.ding_suite_key = ding_suite_key
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ding_corp_id is not None:
result['dingCorpId'] = self.ding_corp_id
if self.service_start_time is not None:
result['serviceStartTime'] = self.service_start_time
if self.service_stop_time is not None:
result['serviceStopTime'] = self.service_stop_time
if self.order_create_time is not None:
result['orderCreateTime'] = self.order_create_time
if self.order_id is not None:
result['orderId'] = self.order_id
if self.quantity is not None:
result['quantity'] = self.quantity
if self.ding_isv_access_token is not None:
result['dingIsvAccessToken'] = self.ding_isv_access_token
if self.ding_suite_key is not None:
result['dingSuiteKey'] = self.ding_suite_key
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('dingCorpId') is not None:
self.ding_corp_id = m.get('dingCorpId')
if m.get('serviceStartTime') is not None:
self.service_start_time = m.get('serviceStartTime')
if m.get('serviceStopTime') is not None:
self.service_stop_time = m.get('serviceStopTime')
if m.get('orderCreateTime') is not None:
self.order_create_time = m.get('orderCreateTime')
if m.get('orderId') is not None:
self.order_id = m.get('orderId')
if m.get('quantity') is not None:
self.quantity = m.get('quantity')
if m.get('dingIsvAccessToken') is not None:
self.ding_isv_access_token = m.get('dingIsvAccessToken')
if m.get('dingSuiteKey') is not None:
self.ding_suite_key = m.get('dingSuiteKey')
return self
class OrderResaleResponseBodyData(TeaModel):
def __init__(
self,
esign_order_id: str = None,
):
self.esign_order_id = esign_order_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.esign_order_id is not None:
result['esignOrderId'] = self.esign_order_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('esignOrderId') is not None:
self.esign_order_id = m.get('esignOrderId')
return self
class OrderResaleResponseBody(TeaModel):
def __init__(
self,
code: int = None,
message: str = None,
data: OrderResaleResponseBodyData = None,
):
self.code = code
self.message = message
self.data = data
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
if self.data is not None:
result['data'] = self.data.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
if m.get('data') is not None:
temp_model = OrderResaleResponseBodyData()
self.data = temp_model.from_map(m['data'])
return self
class OrderResaleResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: OrderResaleResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = OrderResaleResponseBody()
self.body = temp_model.from_map(m['body'])
return self
class GetFlowSignDetailHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class GetFlowSignDetailRequest(TeaModel):
def __init__(
self,
task_id: str = None,
):
self.task_id = task_id
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.task_id is not None:
result['taskId'] = self.task_id
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('taskId') is not None:
self.task_id = m.get('taskId')
return self
class GetFlowSignDetailResponseBodyDataSigners(TeaModel):
def __init__(
self,
signer_name: str = None,
sign_status: int = None,
):
self.signer_name = signer_name
self.sign_status = sign_status
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.signer_name is not None:
result['signerName'] = self.signer_name
if self.sign_status is not None:
result['signStatus'] = self.sign_status
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('signerName') is not None:
self.signer_name = m.get('signerName')
if m.get('signStatus') is not None:
self.sign_status = m.get('signStatus')
return self
class GetFlowSignDetailResponseBodyData(TeaModel):
def __init__(
self,
business_sense: str = None,
flow_status: int = None,
signers: List[GetFlowSignDetailResponseBodyDataSigners] = None,
):
self.business_sense = business_sense
self.flow_status = flow_status
self.signers = signers
def validate(self):
if self.signers:
for k in self.signers:
if k:
k.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.business_sense is not None:
result['businessSense'] = self.business_sense
if self.flow_status is not None:
result['flowStatus'] = self.flow_status
result['signers'] = []
if self.signers is not None:
for k in self.signers:
result['signers'].append(k.to_map() if k else None)
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('businessSense') is not None:
self.business_sense = m.get('businessSense')
if m.get('flowStatus') is not None:
self.flow_status = m.get('flowStatus')
self.signers = []
if m.get('signers') is not None:
for k in m.get('signers'):
temp_model = GetFlowSignDetailResponseBodyDataSigners()
self.signers.append(temp_model.from_map(k))
return self
class GetFlowSignDetailResponseBody(TeaModel):
def __init__(
self,
data: GetFlowSignDetailResponseBodyData = None,
code: int = None,
message: str = None,
):
self.data = data
self.code = code
self.message = message
def validate(self):
if self.data:
self.data.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.data is not None:
result['data'] = self.data.to_map()
if self.code is not None:
result['code'] = self.code
if self.message is not None:
result['message'] = self.message
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('data') is not None:
temp_model = GetFlowSignDetailResponseBodyData()
self.data = temp_model.from_map(m['data'])
if m.get('code') is not None:
self.code = m.get('code')
if m.get('message') is not None:
self.message = m.get('message')
return self
class GetFlowSignDetailResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
body: GetFlowSignDetailResponseBody = None,
):
self.headers = headers
self.body = body
def validate(self):
self.validate_required(self.headers, 'headers')
self.validate_required(self.body, 'body')
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('body') is not None:
temp_model = GetFlowSignDetailResponseBody()
self.body = temp_model.from_map(m['body'])
return self
| 30.026808
| 84
| 0.572554
| 15,068
| 118,726
| 4.31975
| 0.019711
| 0.050622
| 0.09112
| 0.062682
| 0.823905
| 0.800876
| 0.793163
| 0.788355
| 0.78161
| 0.774681
| 0
| 0.000238
| 0.326963
| 118,726
| 3,953
| 85
| 30.034404
| 0.814334
| 0.000884
| 0
| 0.849552
| 1
| 0
| 0.070938
| 0.01424
| 0
| 0
| 0
| 0
| 0
| 1
| 0.118209
| false
| 0.016716
| 0.000597
| 0
| 0.237015
| 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
|
5b3e6add68285f3cc9b13f666b80acd5cde7073f
| 11,810
|
py
|
Python
|
pm_lookup/drawers/drawer1.py
|
tommasosansone91/aqi_luftdaten
|
d78ffa562672095a9f9e8c763c2b021c41ed546b
|
[
"MIT"
] | null | null | null |
pm_lookup/drawers/drawer1.py
|
tommasosansone91/aqi_luftdaten
|
d78ffa562672095a9f9e8c763c2b021c41ed546b
|
[
"MIT"
] | 11
|
2020-06-06T01:39:10.000Z
|
2021-06-09T17:47:07.000Z
|
pm_lookup/drawers/drawer1.py
|
tommasosansone91/aqi_luftdaten
|
d78ffa562672095a9f9e8c763c2b021c41ed546b
|
[
"MIT"
] | null | null | null |
import numpy as np
import plotly.offline as pyo
import plotly.graph_objs as go
def draw_timeserie_PM10_graph(time_values, PM10_values, PM10_daily_max_35_days_max=None, AQ_intervals=None, graph_title=None):
PM10_line = go.Scatter(
x=time_values,
y=PM10_values,
mode='lines+markers',
name="PM 10 [µg/m³]",
marker=dict(
color='rgb(128,128,128)',
)
)
#scelta di aggiunta al grafico della linea di massima della normativa
#se la linea è in input col giusto nome, aggiungila alla lista data, altrimenti no
if PM10_daily_max_35_days_max is None:
data = [ PM10_line, ]
else:
PM10_daily_max_35_days_max_line = go.Scatter(
x=time_values,
y=PM10_daily_max_35_days_max,
mode='lines',
name="Soglia massima per la concentrazione giornaliera del PM10",
marker=dict(
# size=12,
color='rgb(220,20,60)',
# symbol='pentagon',
# line = {'width':2}
)
)
data = [ PM10_line, PM10_daily_max_35_days_max_line ]
#scelta di aggiunta al grafico il titolo del grafico
#se il titolo è in input col giusto nome, aggiungilo al grafico, altrimenti no
if graph_title is None:
layout = go.Layout(showlegend=True, )
else:
layout = go.Layout(showlegend=True, title=graph_title)
fig = go.Figure(data=data, layout=layout)
# Aggiungo delle fasce colorate indicative della qualità dell’aria
fig.update_layout(
shapes=[
# Fascia colorata di qualità dell’aria 1
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=0, #[µg/m³]
x1=1, #fine x
y1=20, #[µg/m³]
fillcolor="#50f085", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 2
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=20, #[µg/m³]
x1=1, #fine x
y1=35, #[µg/m³]
fillcolor="#80ca3a", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 3
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=35, #[µg/m³]
x1=1, #fine x
y1=50, #[µg/m³]
fillcolor="#f0e641", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 4
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=50, #[µg/m³]
x1=1, #fine x
y1=100, #[µg/m³]
fillcolor="#fa5050", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 5
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=100, #[µg/m³]
x1=1, #fine x
y1=200, #[µg/m³]
fillcolor="#960032", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 6
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=200, #[µg/m³]
x1=1, #fine x
y1=1000, #[µg/m³]
fillcolor="#50003c", #colore
opacity=0.5,
layer="below",
line_width=0,
),
]
)
# padding dell'asse y rispetto alla linea del grafico
padding_sup_linea_PM10 = 0.1 * ( max(PM10_values) - min(PM10_values) ) #[µg/m³]
if min(PM10_values)-padding_sup_linea_PM10<=0:
padding_inf_linea_PM10 = 0
else:
padding_inf_linea_PM10 = padding_sup_linea_PM10
fig.update_layout(
showlegend=True,
# posizionamento legenda fuori dal grafico in basso iniziale
legend=dict(
yanchor="top",
y=-0.25, # il meno la manda sotto il grafico
xanchor="left",
x=0.05 # poco prima di metà
),
yaxis=dict(
range=[min(PM10_values)-padding_inf_linea_PM10 ,max(PM10_values)+ padding_sup_linea_PM10]
)
)
# con una sola traccia, showlegend funziona solo dopo
plt_div = pyo.plot(fig, output_type='div')
return plt_div
# -------------------------------------
def draw_timeserie_PM25_graph(time_values, PM25_values, AQ_intervals=None, graph_title=None):
PM25_line = go.Scatter(
x=time_values,
y=PM25_values,
mode='lines+markers',
name="PM 2.5 [µg/m³]",
marker=dict(
color='rgb(105,105,105)',
)
)
data = [ PM25_line ]
#scelta di aggiunta al grafico il titolo del grafico
#se il titolo è in input col giusto nome, aggiungilo al grafico, altrimenti no
if graph_title is None:
layout = go.Layout(showlegend=True)
else:
layout = go.Layout(showlegend=True, title=graph_title)
fig = go.Figure(data=data, layout=layout)
# Aggiungo delle fasce colorate indicative della qualità dell’aria
fig.update_layout(
shapes=[
# Fascia colorata di qualità dell’aria 1
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=0, #[µg/m³]
x1=1, #fine x
y1=10, #[µg/m³]
fillcolor="#50f085", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 2
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=10, #[µg/m³]
x1=1, #fine x
y1=20, #[µg/m³]
fillcolor="#80ca3a", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 3
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=20, #[µg/m³]
x1=1, #fine x
y1=25, #[µg/m³]
fillcolor="#f0e641", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 4
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=25, #[µg/m³]
x1=1, #fine x
y1=50, #[µg/m³]
fillcolor="#fa5050", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 5
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=50, #[µg/m³]
x1=1, #fine x
y1=100, #[µg/m³]
fillcolor="#960032", #colore
opacity=0.5,
layer="below",
line_width=0,
),
# Fascia colorata di qualità dell’aria 6
dict(
type="rect",
xref="paper", # i valori che fornirò per x si riferitranno agli assi
yref="y", # i valori he fornirò per y non hanno limiti
x0=0, #fine x
y0=100, #[µg/m³]
x1=1, #fine x
y1=1000, #[µg/m³]
fillcolor="#50003c", #colore
opacity=0.5,
layer="below",
line_width=0,
),
]
)
# padding dell'asse y rispetto alla linea del grafico
padding_sup_linea_PM25 = 0.1 * ( max(PM25_values) - min(PM25_values) ) #[µg/m³]
if min(PM25_values)-padding_sup_linea_PM25<=0:
padding_inf_linea_PM25 = 0
else:
padding_inf_linea_PM25 = padding_sup_linea_PM25
fig.update_layout(
showlegend=True,
# posizionamento legenda fuori dal grafico in basso iniziale
legend=dict(
yanchor="top",
y=-0.25, # il meno la manda sotto il grafico
xanchor="left",
x=0.05 # poco prima di metà
),
yaxis=dict(
range=[min(PM25_values)-padding_inf_linea_PM25 ,max(PM25_values)+ padding_sup_linea_PM25]
)
)
# con una sola traccia, showlegend funziona solo dopo
plt_div = pyo.plot(fig, output_type='div')
return plt_div
| 31.747312
| 126
| 0.441067
| 1,279
| 11,810
| 3.971071
| 0.144644
| 0.022052
| 0.041347
| 0.054341
| 0.874188
| 0.853121
| 0.783422
| 0.77023
| 0.758811
| 0.758811
| 0
| 0.064547
| 0.47265
| 11,810
| 372
| 127
| 31.747312
| 0.750963
| 0.260965
| 0
| 0.7751
| 0
| 0
| 0.05169
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008032
| false
| 0
| 0.012048
| 0
| 0.028112
| 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
|
5b50e5148133c4cc4c0628e2cf7ef5f507f22d1a
| 153
|
py
|
Python
|
image_synthesis/modeling/build.py
|
buxiangzhiren/VQ-Diffusion_office
|
a431c5e5622971b50e7fdd43ac7d8e4432001863
|
[
"MIT"
] | 236
|
2021-11-29T14:38:49.000Z
|
2022-01-10T13:58:52.000Z
|
image_synthesis/modeling/build.py
|
buxiangzhiren/VQ-Diffusion_office
|
a431c5e5622971b50e7fdd43ac7d8e4432001863
|
[
"MIT"
] | 7
|
2022-01-12T02:22:21.000Z
|
2022-03-03T02:56:43.000Z
|
image_synthesis/modeling/build.py
|
buxiangzhiren/VQ-Diffusion_office
|
a431c5e5622971b50e7fdd43ac7d8e4432001863
|
[
"MIT"
] | 12
|
2022-01-13T06:52:37.000Z
|
2022-03-15T04:34:36.000Z
|
from image_synthesis.utils.misc import instantiate_from_config
def build_model(config, args=None):
return instantiate_from_config(config['model'])
| 25.5
| 62
| 0.816993
| 21
| 153
| 5.666667
| 0.666667
| 0.252101
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098039
| 153
| 5
| 63
| 30.6
| 0.862319
| 0
| 0
| 0
| 0
| 0
| 0.03268
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 8
|
5b98ce5fbdcc096e13dc40bc8d77e29cd9f65b0b
| 156
|
py
|
Python
|
tests/test_bake_project.py
|
luismayta/zsh-jabba
|
1cfe35f8226893f62622ef9675dcba0d2cd7941b
|
[
"MIT"
] | 2
|
2019-10-30T23:57:57.000Z
|
2021-04-10T08:26:41.000Z
|
tests/test_bake_project.py
|
luismayta/zsh-jabba
|
1cfe35f8226893f62622ef9675dcba0d2cd7941b
|
[
"MIT"
] | 2
|
2019-08-18T15:28:22.000Z
|
2019-08-18T23:20:04.000Z
|
tests/test_bake_project.py
|
luismayta/zsh-jabba
|
1cfe35f8226893f62622ef9675dcba0d2cd7941b
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Tests for the zsh aliases."""
from hamcrest import assert_that, equal_to
def test_try():
assert_that(True, equal_to(True))
| 19.5
| 42
| 0.679487
| 24
| 156
| 4.208333
| 0.791667
| 0.19802
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007634
| 0.160256
| 156
| 7
| 43
| 22.285714
| 0.763359
| 0.314103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
7558dfc973339c0b050e285a4c82e2c7bce7dff7
| 24,588
|
py
|
Python
|
Junction_Superlattice/Build_Files/Junction_Model_Class.py
|
tbcole/majoranaJJ
|
dcf31f7786fa0a4874a940b7d8dcdd55f3921a46
|
[
"MIT"
] | null | null | null |
Junction_Superlattice/Build_Files/Junction_Model_Class.py
|
tbcole/majoranaJJ
|
dcf31f7786fa0a4874a940b7d8dcdd55f3921a46
|
[
"MIT"
] | 2
|
2020-03-24T23:46:17.000Z
|
2020-04-19T20:29:08.000Z
|
Junction_Superlattice/Build_Files/Junction_Model_Class.py
|
tbcole/majoranaJJ
|
dcf31f7786fa0a4874a940b7d8dcdd55f3921a46
|
[
"MIT"
] | 3
|
2020-04-30T08:48:12.000Z
|
2022-01-26T12:15:15.000Z
|
import sys
import numpy as np
import matplotlib.pyplot as plt
import parameters as par
import FEM_vertex_class as FVC
import FEM_element_class as FEC
import FEM_mesh_class as FMC
import Hamiltonian_subClass as HSC
import scipy.sparse as Spar
import sparse_mtx_manipulation as SMM
class Junction_Model:
def __init__(self,Lx,W_sc,W_j,W_c1,W_c2,L_c,a_sc_targ,a_j_targ,m_eff,alpha,W_sc_buffer = -1,ay_extended_targ = -1):
### Geometric parameters
self.Lx = Lx # length of supercell
self.W_sc = W_sc # width of superconducting regions
self.W_j = W_j # width of wide part of junction
self.W_c1 = W_c1 # width of constriction on the bottom side of the junction
self.W_c2 = W_c2 # width of constriction on the top side of the junction
self.L_c = L_c # lenght of constriction region
self.W_sc_buffer = W_sc_buffer
self.a_SC_targ = a_sc_targ # Target mesh constant in the region covered by SC
self.a_j_targ = a_j_targ # Target mesh constant in the junction region (only in y-direction)
self.ay_extended_targ = ay_extended_targ # Target ay mesh constant in the SC region outside the buffer region
self.m_eff = m_eff
self.alpha = alpha
print ('Generating mesh...')
self.MESH = FMC.FEM_mesh()
if W_sc_buffer == -1:
self.mesh_gen_v1()
else:
if ay_extended_targ == -1:
print ("Please specify ay_extended_targ")
sys.exit()
self.mesh_gen_v2_buffer()
self.MESH.phys_regs = [101,102,103]
self.MESH.PLOT.phys_regs = [101,102,103]
self.MESH.gen_diff_ops()
print ("...Done")
### Sub object for handling the Hamiltonian compilation
self.HAM = HSC.HAM_subClass(self)
def mesh_gen_v1(self):
### Creates the elements, vertices, and addes them to the MESH.
### While we are adding these elements, we also assign vertices to elements
Nx1 = int(.5*(self.Lx - self.L_c)/self.a_SC_targ); ax1 = .5*(self.Lx - self.L_c)/float(Nx1)
Nx2 = int(self.L_c/self.a_SC_targ) + 1; ax2 = self.L_c/float(Nx2-1.)
Nx3 = int(.5*(self.Lx - self.L_c)/self.a_SC_targ) - 1; ax3 = .5*(self.Lx - self.L_c)/float(Nx3+1.)
Nx = Nx1 + Nx2 + Nx3 # total number of vertices in each row
Ny1 = int(self.W_sc /self.a_SC_targ); ay1 = (self.W_sc)/float(Ny1)
if self.W_c1 != 0.:
Ny2 = int(self.W_c1 /self.a_j_targ); ay2 = (self.W_c1)/float(Ny2)
else:
Ny2 = 0; ay2 = -1
Ny3 = int((self.W_j - self.W_c1 - self.W_c2)/self.a_j_targ); ay3 = (self.W_j - self.W_c1 - self.W_c2)/float(Ny3)
if self.W_c2 != 0.:
Ny4 = int(self.W_c2 /self.a_j_targ); ay4 = (self.W_c2)/float(Ny4)
else:
Ny4 = 0; ay4 = -1
Ny5 = Ny1 + 1; ay5 = ay1*1.
Ny = Ny1 + Ny2 + Ny3 + Ny4 + Ny5
X = []
X1 = []
X2 = []
X3 = []
for i in range(Nx1):
X1.append(i*ax1)
X.append(i*ax1)
for i in range(Nx2):
X2.append((Nx1)*ax1 + (i)*ax2)
X.append((Nx1)*ax1 + (i)*ax2)
for i in range(Nx3):
X3.append((Nx1)*ax1 + (Nx2-1)*ax2 + (i+1)*ax3)
X.append((Nx1)*ax1 + (Nx2-1)*ax2 + (i+1)*ax3)
X1 = np.array(X1)
X2 = np.array(X2)
X3 = np.array(X3)
X = np.array(X)
#print (Nx1,Nx2,Nx3)
#plt.scatter(X1,X1*0. + 0.)
#plt.scatter(X2,X2*0. + 1.)
#plt.scatter(X3,X3*0. + 2.)
#plt.scatter(X,X*0. + 3.)
#plt.show()
Y = []
Y1 = []
Y2 = []
Y3 = []
Y4 = []
Y5 = []
for i in range(Ny1):
Y1.append(i*ay1)
Y.append(i*ay1)
for i in range(Ny2):
Y2.append(Ny1*ay1 + i*ay2)
Y.append(Ny1*ay1 + i*ay2)
for i in range(Ny3):
Y3.append(Ny1*ay1 + Ny2*ay2 + i*ay3)
Y.append(Ny1*ay1 + Ny2*ay2 + i*ay3)
for i in range(Ny4):
Y4.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + i*ay4)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + i*ay4)
for i in range(Ny5):
Y5.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + i*ay5)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + i*ay5)
Y1 = np.array(Y1)
Y2 = np.array(Y2)
Y3 = np.array(Y3)
Y4 = np.array(Y4)
Y5 = np.array(Y5)
Y = np.array(Y)
#print (Ny1,Ny2,Ny3,Ny4,Ny5)
#plt.scatter(Y1,Y1*0. + 0.)
#plt.scatter(Y2,Y2*0. + 1.)
#plt.scatter(Y3,Y3*0. + 2.)
#plt.scatter(Y4,Y4*0. + 3.)
#plt.scatter(Y5,Y5*0. + 4.)
#plt.scatter(Y,Y*0. + 5.)
#plt.show()
counter = 0; counter_dof = 0
for j in range(Ny):
y = Y[j]
for i in range(Nx):
x = X[i]
### Create vertex
vertex = FVC.FEM_vertex(x,y)
vertex.assign_vertex_tag(counter) # Every vertex gets a tag, even if its on the boundary
### Check if vertex is on boundary or hard-walled region
if (j == 0) or (j == Ny - 1):
pass
else:
vertex.assign_dof_tag(counter_dof)
counter_dof += 1
### Add vertex to MESH
self.MESH.add_vertex(vertex)
### Create first element (bottom triangle)
if j != Ny - 1:
if i != Nx - 1:
element1 = FEC.FEM_element() # type 1 element (i.e. bottom triangle)
vertices1 = np.array([
[X[i],Y[j]],
[X[i+1],Y[j]],
[X[i+1],Y[j+1]]
])
element1.assign_vertices(vertices1)
element1.assign_vertex_tags(np.array([counter,counter+1,counter+1+Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element1)
centroid = element1.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element1.assign_phys_tag(phys_tag)
### Create 2nd element (top triangle)
element2 = FEC.FEM_element() # type 2 element (i.e. top triangle)
vertices2 = np.array([
[X[i],Y[j]],
[X[i],Y[j+1]],
[X[i+1],Y[j+1]]
])
element2.assign_vertices(vertices2)
element2.assign_phys_tag(phys_tag)
element2.assign_vertex_tags(np.array([counter,counter+Nx,counter+1+Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element2)
centroid = element2.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element2.assign_phys_tag(phys_tag)
else:
element1 = FEC.FEM_element() # type 1 element (i.e. bottom triangle)
vertices1 = np.array([
[X[i],Y[j]],
[X[i] + ax3,Y[j]],
[X[i] + ax3,Y[j+1]]
])
element1.assign_vertices(vertices1)
element1.assign_vertex_tags(np.array([counter,counter+1 - Nx,counter+1+Nx - Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element1)
centroid = element1.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element1.assign_phys_tag(phys_tag)
#print (counter,counter+1 - Nx,counter+1+Nx - Nx)
### Create 2nd element (top triangle)
element2 = FEC.FEM_element() # type 2 element (i.e. top triangle)
vertices2 = np.array([
[X[i],Y[j]],
[X[i],Y[j+1]],
[X[i] + ax3,Y[j+1]]
])
element2.assign_vertices(vertices2)
element2.assign_vertex_tags(np.array([counter,counter+Nx,counter+1+Nx - Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element2)
centroid = element2.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element2.assign_phys_tag(phys_tag)
counter += 1
### Create vertex to dof map and dof to vertex map
self.MESH.vertex_tag_to_dof_tag()
### Assign dof tags to element vertices
for i in range(len(self.MESH.elements)):
self.MESH.elements[i].find_dof_tags(self.MESH.vtd)
def mesh_gen_v2_buffer(self):
### Creates the elements, vertices, and addes them to the MESH.
### While we are adding these elements, we also assign vertices to elements
Nx1 = int(.5*(self.Lx - self.L_c)/self.a_SC_targ); ax1 = .5*(self.Lx - self.L_c)/float(Nx1)
Nx2 = int(self.L_c/self.a_SC_targ) + 1; ax2 = self.L_c/float(Nx2-1.)
Nx3 = int(.5*(self.Lx - self.L_c)/self.a_SC_targ) - 1; ax3 = .5*(self.Lx - self.L_c)/float(Nx3+1.)
Nx = Nx1 + Nx2 + Nx3 # total number of vertices in each row
Ny1 = int((self.W_sc - self.W_sc_buffer)/self.ay_extended_targ); ay1 = (self.W_sc - self.W_sc_buffer)/float(Ny1)
Ny2 = int(self.W_sc_buffer /self.a_SC_targ); ay2 = (self.W_sc_buffer)/float(Ny2)
if self.W_c1 != 0.:
Ny3 = int(self.W_c1 /self.a_j_targ); ay3 = (self.W_c1)/float(Ny3)
else:
Ny3 = 0; ay3 = -1
Ny4 = int((self.W_j - self.W_c1 - self.W_c2)/self.a_j_targ); ay4 = (self.W_j - self.W_c1 - self.W_c2)/float(Ny4)
if self.W_c2 != 0.:
Ny5 = int(self.W_c2 /self.a_j_targ); ay5 = (self.W_c2)/float(Ny5)
else:
Ny5 = 0; ay5 = -1
Ny6 = int(self.W_sc_buffer /self.a_SC_targ); ay6 = (self.W_sc_buffer)/float(Ny6)
Ny7 = Ny1 + 1; ay7 = ay1*1.
Ny = Ny1 + Ny2 + Ny3 + Ny4 + Ny5 + Ny6 + Ny7
X = []
X1 = []
X2 = []
X3 = []
for i in range(Nx1):
X1.append(i*ax1)
X.append(i*ax1)
for i in range(Nx2):
X2.append((Nx1)*ax1 + (i)*ax2)
X.append((Nx1)*ax1 + (i)*ax2)
for i in range(Nx3):
X3.append((Nx1)*ax1 + (Nx2-1)*ax2 + (i+1)*ax3)
X.append((Nx1)*ax1 + (Nx2-1)*ax2 + (i+1)*ax3)
X1 = np.array(X1)
X2 = np.array(X2)
X3 = np.array(X3)
X = np.array(X)
#print (Nx1,Nx2,Nx3)
#plt.scatter(X1,X1*0. + 0.)
#plt.scatter(X2,X2*0. + 1.)
#plt.scatter(X3,X3*0. + 2.)
#plt.scatter(X,X*0. + 3.)
#plt.show()
Y = []
Y1 = []
Y2 = []
Y3 = []
Y4 = []
Y5 = []
Y6 = []
Y7 = []
for i in range(Ny1):
Y1.append(i*ay1)
Y.append(i*ay1)
for i in range(Ny2):
Y2.append(Ny1*ay1 + i*ay2)
Y.append(Ny1*ay1 + i*ay2)
for i in range(Ny3):
Y3.append(Ny1*ay1 + Ny2*ay2 + i*ay3)
Y.append(Ny1*ay1 + Ny2*ay2 + i*ay3)
for i in range(Ny4):
Y4.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + i*ay4)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + i*ay4)
for i in range(Ny5):
Y5.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + i*ay5)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + i*ay5)
for i in range(Ny6):
Y6.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + Ny5*ay5 + i*ay6)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + Ny5*ay5 + i*ay6)
for i in range(Ny7):
Y7.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + Ny5*ay5 + Ny6*ay6 + i*ay7)
Y.append(Ny1*ay1 + Ny2*ay2 + Ny3*ay3 + Ny4*ay4 + Ny5*ay5 + Ny6*ay6 + i*ay7)
Y1 = np.array(Y1)
Y2 = np.array(Y2)
Y3 = np.array(Y3)
Y4 = np.array(Y4)
Y5 = np.array(Y5)
Y6 = np.array(Y6)
Y7 = np.array(Y7)
Y = np.array(Y)
#print (Ny1,Ny2,Ny3,Ny4,Ny5)
#plt.scatter(Y1,Y1*0. + 0.)
#plt.scatter(Y2,Y2*0. + 1.)
#plt.scatter(Y3,Y3*0. + 2.)
#plt.scatter(Y4,Y4*0. + 3.)
#plt.scatter(Y5,Y5*0. + 4.)
#plt.scatter(Y,Y*0. + 5.)
#plt.show()
counter = 0; counter_dof = 0
for j in range(Ny):
y = Y[j]
for i in range(Nx):
x = X[i]
### Create vertex
vertex = FVC.FEM_vertex(x,y)
vertex.assign_vertex_tag(counter) # Every vertex gets a tag, even if its on the boundary
### Check if vertex is on boundary or hard-walled region
if (j == 0) or (j == Ny - 1):
pass
else:
vertex.assign_dof_tag(counter_dof)
counter_dof += 1
### Add vertex to MESH
self.MESH.add_vertex(vertex)
### Create first element (bottom triangle)
if j != Ny - 1:
if i != Nx - 1:
element1 = FEC.FEM_element() # type 1 element (i.e. bottom triangle)
vertices1 = np.array([
[X[i],Y[j]],
[X[i+1],Y[j]],
[X[i+1],Y[j+1]]
])
element1.assign_vertices(vertices1)
element1.assign_vertex_tags(np.array([counter,counter+1,counter+1+Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element1)
centroid = element1.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element1.assign_phys_tag(phys_tag)
### Create 2nd element (top triangle)
element2 = FEC.FEM_element() # type 2 element (i.e. top triangle)
vertices2 = np.array([
[X[i],Y[j]],
[X[i],Y[j+1]],
[X[i+1],Y[j+1]]
])
element2.assign_vertices(vertices2)
element2.assign_phys_tag(phys_tag)
element2.assign_vertex_tags(np.array([counter,counter+Nx,counter+1+Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element2)
centroid = element2.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element2.assign_phys_tag(phys_tag)
else:
element1 = FEC.FEM_element() # type 1 element (i.e. bottom triangle)
vertices1 = np.array([
[X[i],Y[j]],
[X[i] + ax3,Y[j]],
[X[i] + ax3,Y[j+1]]
])
element1.assign_vertices(vertices1)
element1.assign_vertex_tags(np.array([counter,counter+1 - Nx,counter+1+Nx - Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element1)
centroid = element1.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element1.assign_phys_tag(phys_tag)
#print (counter,counter+1 - Nx,counter+1+Nx - Nx)
### Create 2nd element (top triangle)
element2 = FEC.FEM_element() # type 2 element (i.e. top triangle)
vertices2 = np.array([
[X[i],Y[j]],
[X[i],Y[j+1]],
[X[i] + ax3,Y[j+1]]
])
element2.assign_vertices(vertices2)
element2.assign_vertex_tags(np.array([counter,counter+Nx,counter+1+Nx - Nx])) # adding vertex tags to all vertices that are apart of the element
self.MESH.add_element(element2)
centroid = element2.centroid
xx = centroid[0]; yy = centroid[1]
if yy < (self.W_sc):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 101
elif yy < (self.W_sc + self.W_c1):
phys_tag = 102
elif yy < (self.W_sc + self.W_j - self.W_c2):
phys_tag = 102
elif yy < (self.W_sc + self.W_j) and ( .5*(self.Lx - self.L_c) < xx < .5*(self.Lx + self.L_c) ):
phys_tag = 103
elif yy < (self.W_sc + self.W_j):
phys_tag = 102
else:
phys_tag = 103
element2.assign_phys_tag(phys_tag)
counter += 1
### Create vertex to dof map and dof to vertex map
self.MESH.vertex_tag_to_dof_tag()
### Assign dof tags to element vertices
for i in range(len(self.MESH.elements)):
self.MESH.elements[i].find_dof_tags(self.MESH.vtd)
def state_weight_junction(self,U):
### calculates the weight of the states in the juction
U_hc = np.conjugate(np.transpose(U))
M = self.MESH.DIFF_OPS.Diag_2
N = SMM.zero_csr_mtx(self.MESH.DIFF_OPS.Diag.shape[0])
DIAG_J = Spar.bmat([
[M,N],
[N,M]
],format = 'csc')
weight_junction = np.diag( np.dot(U_hc, DIAG_J.dot(U)) )
return weight_junction.real
| 44.624319
| 172
| 0.438547
| 3,189
| 24,588
| 3.237378
| 0.069301
| 0.065382
| 0.040682
| 0.041844
| 0.868462
| 0.841244
| 0.836013
| 0.825358
| 0.815188
| 0.809957
| 0
| 0.066769
| 0.444485
| 24,588
| 550
| 173
| 44.705455
| 0.689069
| 0.125183
| 0
| 0.821759
| 0
| 0
| 0.00276
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.009259
| false
| 0.00463
| 0.023148
| 0
| 0.037037
| 0.006944
| 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
|
f32bbee9534ccd974ff2b054d3a27023953d7e7d
| 3,249
|
py
|
Python
|
built-in/TensorFlow/Official/cv/image_classification/MobileNetV2_for_TensorFlow/gpu_helper.py
|
Ascend/modelzoo
|
f018cfed33dbb1cc2110b9ea2e233333f71cc509
|
[
"Apache-2.0"
] | 12
|
2020-12-13T08:34:24.000Z
|
2022-03-20T15:17:17.000Z
|
built-in/TensorFlow/Official/cv/image_classification/MobileNetV2_for_TensorFlow/gpu_helper.py
|
Ascend/modelzoo
|
f018cfed33dbb1cc2110b9ea2e233333f71cc509
|
[
"Apache-2.0"
] | 1
|
2022-01-20T03:11:05.000Z
|
2022-01-20T06:53:39.000Z
|
built-in/TensorFlow/Official/cv/image_classification/MobileNetV2_for_TensorFlow/gpu_helper.py
|
Ascend/modelzoo
|
f018cfed33dbb1cc2110b9ea2e233333f71cc509
|
[
"Apache-2.0"
] | 2
|
2021-07-10T12:40:46.000Z
|
2021-12-17T07:55:15.000Z
|
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
## ==============================================================================
import tensorflow as tf
import numpy as np
def float32_variable_storage_getter(getter, name, shape=None, dtype=None,
initializer=None, regularizer=None,
trainable=True,
*args, **kwargs):
"""Custom variable getter that forces trainable variables to be stored in
float32 precision and then casts them to the training precision.
"""
storage_dtype = tf.float32 if trainable else dtype
variable = getter(name, shape, dtype=storage_dtype,
initializer=initializer, regularizer=regularizer,
trainable=trainable,
*args, **kwargs)
if trainable and dtype != tf.float32:
variable = tf.cast(variable, dtype)
return variable
def get_custom_getter(compute_type):
return float32_variable_storage_getter if compute_type == tf.float16 else None
def float32_variable_storage_getter_1(getter, name, shape=None, dtype=None,
initializer=None, regularizer=None,
trainable=True,
*args, **kwargs):
"""Custom variable getter that forces trainable variables to be stored in
float32 precision and then casts them to the training precision.
"""
dtype = tf.float16
storage_dtype = tf.float32 if trainable else dtype
variable = getter(name, shape, dtype=storage_dtype,
initializer=initializer, regularizer=regularizer,
trainable=trainable,
*args, **kwargs)
if trainable and dtype != tf.float32:
variable = tf.cast(variable, dtype)
return variable
def get_custom_getter_1(compute_type):
return float32_variable_storage_getter_1 if compute_type == tf.float16 else None
| 43.905405
| 84
| 0.639889
| 388
| 3,249
| 5.28866
| 0.283505
| 0.05848
| 0.025341
| 0.031189
| 0.933723
| 0.902534
| 0.902534
| 0.829435
| 0.829435
| 0.829435
| 0
| 0.018465
| 0.249923
| 3,249
| 73
| 85
| 44.506849
| 0.823554
| 0.485072
| 0
| 0.709677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.129032
| false
| 0
| 0.064516
| 0.064516
| 0.322581
| 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
|
f361b7a5a6416a953a64e7b45ff37b1d54ac4a1b
| 87
|
py
|
Python
|
Solutions/Wind chill.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
Solutions/Wind chill.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
Solutions/Wind chill.py
|
GuardsmanPanda/ProjectLovelace
|
50549114acfe98ae9511e3ec5d0e6c1335e30db9
|
[
"MIT"
] | null | null | null |
def wind_chill(Ta, v):
return 13.12 + 0.6215*Ta - 11.37*v**0.16 + 0.3965*Ta*v**0.16
| 43.5
| 64
| 0.597701
| 22
| 87
| 2.318182
| 0.636364
| 0.117647
| 0.156863
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.328767
| 0.16092
| 87
| 2
| 64
| 43.5
| 0.369863
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
f38049df3467afcc6e30f5dd99a4620bfe60ba0c
| 161
|
py
|
Python
|
torrent_client/network/__init__.py
|
x0x/polygon
|
a3df41594d3590b99a3b17cc0fe68d8da6ebe5bb
|
[
"MIT"
] | 141
|
2016-05-24T19:33:07.000Z
|
2022-03-21T11:56:28.000Z
|
torrent_client/network/__init__.py
|
x0x/polygon
|
a3df41594d3590b99a3b17cc0fe68d8da6ebe5bb
|
[
"MIT"
] | 11
|
2017-11-20T12:11:41.000Z
|
2022-01-04T15:42:19.000Z
|
torrent_client/network/__init__.py
|
x0x/polygon
|
a3df41594d3590b99a3b17cc0fe68d8da6ebe5bb
|
[
"MIT"
] | 39
|
2017-01-13T05:19:25.000Z
|
2022-02-19T06:40:31.000Z
|
from torrent_client.network.peer_tcp_client import *
from torrent_client.network.peer_tcp_server import *
from torrent_client.network.tracker_clients import *
| 26.833333
| 52
| 0.857143
| 23
| 161
| 5.652174
| 0.434783
| 0.253846
| 0.392308
| 0.553846
| 0.753846
| 0.476923
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 161
| 5
| 53
| 32.2
| 0.884354
| 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
|
f3b1a5999765d5cea6cb9d51a9aaf7ad4105c79a
| 862
|
py
|
Python
|
Practice_problems/Patterns.py
|
riyabhatia26/Python-Programming
|
2882728982c15c3b6380033eb2e90761b538dd93
|
[
"MIT"
] | 3
|
2020-08-07T04:33:19.000Z
|
2021-10-06T08:58:01.000Z
|
Practice_problems/Patterns.py
|
riyabhatia26/Python-Programming
|
2882728982c15c3b6380033eb2e90761b538dd93
|
[
"MIT"
] | null | null | null |
Practice_problems/Patterns.py
|
riyabhatia26/Python-Programming
|
2882728982c15c3b6380033eb2e90761b538dd93
|
[
"MIT"
] | 2
|
2021-10-06T08:58:05.000Z
|
2021-10-06T09:46:42.000Z
|
# Square
print("Square: ")
for i in range(5):
for j in range(5):
print("* ",end="")
print()
# Half pyramid
print("\nHalf pyramid: ")
for i in range(5):
for j in range(i+1):
print("*",end=" ")
print()
print("\nHalf pyramid invarsed: ")
for i in range(5):
for j in range(5,i,-1):
print("*",end=" ")
print()
print("\nHalf pyramid mirrored:")
for i in range(5):
for j in range(i+1):
print(" ",end=" ")
for k in range(5,i,-1):
print("* ",end="")
print()
print("\nPyramid: ")
for i in range(5):
for j in range(5,i,-1):
print(" ",end="")
for k in range(-1,i,+1):
print("* ",end=" ")
print()
print("\nPyramid invarsed:")
for i in range(5):
for j in range(i+1):
print("",end=" ")
for k in range(5,i,-1):
print("* ",end=" ")
print()
| 19.590909
| 35
| 0.491879
| 133
| 862
| 3.18797
| 0.12782
| 0.247642
| 0.207547
| 0.188679
| 0.841981
| 0.841981
| 0.841981
| 0.757075
| 0.650943
| 0.615566
| 0
| 0.03252
| 0.286543
| 862
| 44
| 36
| 19.590909
| 0.656911
| 0.022042
| 0
| 0.777778
| 0
| 0
| 0.146254
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.583333
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 10
|
342624d7793ea10f780edf4c98d466991bba8814
| 3,207
|
py
|
Python
|
missioncontrol/tests/test_pass_attributes.py
|
Psykar/missioncontrol
|
ca3a1ef523e04d87722ed18f4668c0a68bb3d519
|
[
"Apache-2.0"
] | null | null | null |
missioncontrol/tests/test_pass_attributes.py
|
Psykar/missioncontrol
|
ca3a1ef523e04d87722ed18f4668c0a68bb3d519
|
[
"Apache-2.0"
] | 1
|
2019-03-19T06:05:21.000Z
|
2019-03-19T06:05:21.000Z
|
missioncontrol/tests/test_pass_attributes.py
|
Psykar/missioncontrol
|
ca3a1ef523e04d87722ed18f4668c0a68bb3d519
|
[
"Apache-2.0"
] | null | null | null |
import json
import pytest
@pytest.mark.django_db
def test_attributes(test_client, simple_sat, simple_gs, some_uuid):
headers = {"content-type": "application/json"}
def create_asset(asset_type, asset):
asset_hwid = asset["hwid"]
response = test_client.put(
f"/api/v0/{asset_type}s/{asset_hwid}/",
headers=headers,
data=json.dumps(asset)
)
create_asset('satellite', simple_sat)
create_asset('groundstation', simple_gs)
test_client.put(
f"/api/v0/passes/{some_uuid}/",
headers=headers,
data=json.dumps({
'satellite': simple_sat['hwid'],
'groundstation': simple_gs['hwid'],
"start_time": "2018-11-25T00:00:00Z",
"end_time": "2018-11-25T01:00:00Z",
})
).json
attrs = test_client.get(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
)
assert attrs.status_code == 200
assert attrs.json == {}
# Put one
attrs = test_client.put(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
data=json.dumps({"test": "value"})
).json
assert attrs == {"test": "value"}
# Make sure a patch doesn't overwrite existing ones
attrs = test_client.patch(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
data=json.dumps({"test2": "also here"})
).json
assert attrs == {"test": "value", "test2": "also here"}
# Make sure put overwrites existing ones
attrs = test_client.put(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
data=json.dumps({"test": "value"})
).json
assert attrs == {"test": "value"}
# Check get works as well when there are arguments
attrs = test_client.get(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
).json
assert attrs == {"test": "value"}
@pytest.mark.django_db
def test_invalid_attribute(test_client, simple_sat, simple_gs, some_uuid):
headers = {"content-type": "application/json"}
def create_asset(asset_type, asset):
asset_hwid = asset["hwid"]
response = test_client.put(
f"/api/v0/{asset_type}s/{asset_hwid}/",
headers=headers,
data=json.dumps(asset)
)
create_asset('satellite', simple_sat)
create_asset('groundstation', simple_gs)
test_client.put(
f"/api/v0/passes/{some_uuid}/",
headers=headers,
data=json.dumps({
'satellite': simple_sat['hwid'],
'groundstation': simple_gs['hwid'],
"start_time": "2018-11-25T00:00:00Z",
"end_time": "2018-11-25T01:00:00Z",
})
)
# Put a number (expect failure)
attrs = test_client.put(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
data=json.dumps({"test": 1234})
)
assert attrs.status_code == 400
# Put an object (expect failure)
attrs = test_client.put(
f"/api/v0/passes/{some_uuid}/attributes/",
headers=headers,
data=json.dumps({"test": {"test": "hhi"}})
)
assert attrs.status_code == 400
| 28.633929
| 74
| 0.590583
| 389
| 3,207
| 4.709512
| 0.208226
| 0.070961
| 0.036026
| 0.108079
| 0.863537
| 0.789847
| 0.762555
| 0.762555
| 0.762555
| 0.762555
| 0
| 0.034497
| 0.258809
| 3,207
| 111
| 75
| 28.891892
| 0.736222
| 0.064234
| 0
| 0.804598
| 0
| 0
| 0.257515
| 0.130261
| 0
| 0
| 0
| 0
| 0.091954
| 1
| 0.045977
| false
| 0.103448
| 0.022989
| 0
| 0.068966
| 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
|
347bcffb695f328fe04032cfcdc37cb7dd977ce7
| 30,935
|
py
|
Python
|
openprescribing/frontend/tests/test_api_spending.py
|
rebkwok/openprescribing
|
28c7500a7e4cb725fc6cda0f8c58b07ac7e916a4
|
[
"MIT"
] | null | null | null |
openprescribing/frontend/tests/test_api_spending.py
|
rebkwok/openprescribing
|
28c7500a7e4cb725fc6cda0f8c58b07ac7e916a4
|
[
"MIT"
] | null | null | null |
openprescribing/frontend/tests/test_api_spending.py
|
rebkwok/openprescribing
|
28c7500a7e4cb725fc6cda0f8c58b07ac7e916a4
|
[
"MIT"
] | null | null | null |
import datetime
import json
from django.db import connection
from .api_test_base import ApiTestBase
from frontend.models import ImportLog
def _create_prescribing_tables():
current = datetime.date(2013, 4, 1)
cmd = ("DROP TABLE IF EXISTS %s; "
"CREATE TABLE %s () INHERITS (frontend_prescription)")
with connection.cursor() as cursor:
for _ in range(0, 59):
table_name = "frontend_prescription_%s%s" % (
current.year, str(current.month).zfill(2))
cursor.execute(cmd % (table_name, table_name))
current = datetime.date(
current.year + (current.month / 12),
((current.month % 12) + 1),
1)
ImportLog.objects.create(
current_at=current, category='prescribing')
class TestAPISpendingViewsTariff(ApiTestBase):
def test_tariff_hit(self):
url = '/tariff?format=csv&codes=ABCD'
rows = self._rows_from_api(url)
self.assertEqual(rows, [
{'date': '2010-03-01',
'concession': '',
'product': 'ABCD',
'price_pence': '900',
'tariff_category': 'Part VIIIA Category A',
'vmpp': 'Bar tablets 84 tablet'}
])
def test_tariff_hits(self):
url = '/tariff?format=csv&codes=ABCD,EFGH'
rows = self._rows_from_api(url)
self.assertItemsEqual(rows, [
{'date': '2010-03-01',
'concession': '',
'product': 'ABCD',
'price_pence': '900',
'tariff_category': 'Part VIIIA Category A',
'vmpp': 'Bar tablets 84 tablet'},
{'date': '2010-03-01',
'concession': '',
'product': 'EFGH',
'price_pence': '2400',
'tariff_category': 'Part VIIIA Category A',
'vmpp': 'Foo tablets 84 tablet'},
{'date': '2010-04-01',
'concession': '',
'product': 'EFGH',
'price_pence': '1100',
'tariff_category': 'Part VIIIA Category A',
'vmpp': 'Foo tablets 84 tablet'},
])
def test_tariff_miss(self):
url = '/tariff?format=csv&codes=ABCDE'
rows = self._rows_from_api(url)
self.assertEqual(rows, [])
def test_tariff_all(self):
url = '/tariff?format=csv'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 3)
class TestAPISpendingViews(ApiTestBase):
def test_codes_are_rejected_if_not_same_length(self):
url = '%s/spending' % self.api_prefix
url += '?format=csv&code=0202010B0,0202010B0AAAAAA'
response = self.client.get(url, follow=True)
self.assertEqual(response.status_code, 400)
def test_404_returned_for_unknown_short_code(self):
url = '%s/spending?format=csv&code=0' % self.api_prefix
response = self.client.get(url, follow=True)
self.assertEqual(response.status_code, 404)
def test_404_returned_for_unknown_dotted_code(self):
url = '%s/spending?format=csv&code=123.456' % self.api_prefix
response = self.client.get(url, follow=True)
self.assertEqual(response.status_code, 404)
########################################
# Spending across all NHS England.
########################################
def test_total_spending(self):
_create_prescribing_tables()
rows = self._rows_from_api('/spending?format=csv')
self.assertEqual(len(rows), 60)
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '4.61')
self.assertEqual(rows[0]['items'], '3')
self.assertEqual(rows[0]['quantity'], '82')
self.assertEqual(rows[1]['date'], '2013-05-01')
self.assertEqual(rows[1]['actual_cost'], '0.0')
self.assertEqual(rows[1]['items'], '0')
self.assertEqual(rows[1]['quantity'], '0')
self.assertEqual(rows[19]['date'], '2014-11-01')
self.assertEqual(rows[19]['actual_cost'], '90.54')
self.assertEqual(rows[19]['items'], '95')
self.assertEqual(rows[19]['quantity'], '5142')
def test_total_spending_by_bnf_section(self):
_create_prescribing_tables()
rows = self._rows_from_api('/spending?format=csv&code=2')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '4.61')
self.assertEqual(rows[0]['items'], '3')
self.assertEqual(rows[0]['quantity'], '82')
self.assertEqual(rows[19]['date'], '2014-11-01')
self.assertEqual(rows[19]['actual_cost'], '90.54')
self.assertEqual(rows[19]['items'], '95')
self.assertEqual(rows[19]['quantity'], '5142')
def test_total_spending_by_bnf_section_full_code(self):
_create_prescribing_tables()
rows = self._rows_from_api('/spending?format=csv&code=02')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '4.61')
self.assertEqual(rows[0]['items'], '3')
self.assertEqual(rows[0]['quantity'], '82')
self.assertEqual(rows[19]['date'], '2014-11-01')
self.assertEqual(rows[19]['actual_cost'], '90.54')
self.assertEqual(rows[19]['items'], '95')
self.assertEqual(rows[19]['quantity'], '5142')
def test_total_spending_by_code(self):
_create_prescribing_tables()
rows = self._rows_from_api('/spending?format=csv&code=0204000I0')
self.assertEqual(rows[19]['date'], '2014-11-01')
self.assertEqual(rows[19]['actual_cost'], '36.28')
self.assertEqual(rows[19]['items'], '33')
self.assertEqual(rows[19]['quantity'], '2354')
def test_total_spending_by_codes(self):
_create_prescribing_tables()
url = '/spending?format=csv'
url += '&code=0204000I0,0202010B0'
rows = self._rows_from_api(url)
self.assertEqual(rows[17]['date'], '2014-09-01')
self.assertEqual(rows[17]['actual_cost'], '36.29')
self.assertEqual(rows[17]['items'], '40')
self.assertEqual(rows[17]['quantity'], '1209')
########################################
# Total spending by CCG.
########################################
def test_total_spending_by_ccg(self):
rows = self._rows_from_api('/spending_by_ccg?format=csv')
self.assertEqual(len(rows), 9)
self.assertEqual(rows[6]['row_id'], '03V')
self.assertEqual(rows[6]['row_name'], 'NHS Corby')
self.assertEqual(rows[6]['date'], '2014-09-01')
self.assertEqual(rows[6]['actual_cost'], '38.28')
self.assertEqual(rows[6]['items'], '41')
self.assertEqual(rows[6]['quantity'], '1241')
def test_total_spending_by_one_ccg(self):
rows = self._rows_from_api('/spending_by_ccg?format=csv&org=03V')
self.assertEqual(len(rows), 5)
self.assertEqual(rows[-2]['row_id'], '03V')
self.assertEqual(rows[-2]['row_name'], 'NHS Corby')
self.assertEqual(rows[-2]['date'], '2014-09-01')
self.assertEqual(rows[-2]['actual_cost'], '38.28')
self.assertEqual(rows[-2]['items'], '41')
self.assertEqual(rows[-2]['quantity'], '1241')
def test_total_spending_by_multiple_ccgs(self):
rows = self._rows_from_api('/spending_by_ccg?format=csv&org=03V,03Q')
self.assertEqual(len(rows), 9)
self.assertEqual(rows[6]['row_id'], '03V')
self.assertEqual(rows[6]['row_name'], 'NHS Corby')
self.assertEqual(rows[6]['date'], '2014-09-01')
self.assertEqual(rows[6]['actual_cost'], '38.28')
self.assertEqual(rows[6]['items'], '41')
self.assertEqual(rows[6]['quantity'], '1241')
def test_spending_by_all_ccgs_on_chemical(self):
rows = self._rows_from_api(
'/spending_by_ccg?format=csv&code=0202010B0')
self.assertEqual(len(rows), 6)
self.assertEqual(rows[0]['row_id'], '03V')
self.assertEqual(rows[0]['row_name'], 'NHS Corby')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '1.56')
self.assertEqual(rows[0]['items'], '1')
self.assertEqual(rows[0]['quantity'], '26')
self.assertEqual(rows[5]['row_id'], '03V')
self.assertEqual(rows[5]['row_name'], 'NHS Corby')
self.assertEqual(rows[5]['date'], '2014-11-01')
self.assertEqual(rows[5]['actual_cost'], '54.26')
self.assertEqual(rows[5]['items'], '62')
self.assertEqual(rows[5]['quantity'], '2788')
def test_spending_by_all_ccgs_on_multiple_chemicals(self):
url = '/spending_by_ccg'
url += '?format=csv&code=0202010B0,0202010F0'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 9)
self.assertEqual(rows[0]['row_id'], '03Q')
self.assertEqual(rows[0]['row_name'], 'NHS Vale of York')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '3.05')
self.assertEqual(rows[0]['items'], '2')
self.assertEqual(rows[0]['quantity'], '56')
self.assertEqual(rows[-3]['row_id'], '03V')
self.assertEqual(rows[-3]['row_name'], 'NHS Corby')
self.assertEqual(rows[-3]['date'], '2014-09-01')
self.assertEqual(rows[-3]['actual_cost'], '38.28')
self.assertEqual(rows[-3]['items'], '41')
self.assertEqual(rows[-3]['quantity'], '1241')
def test_spending_by_all_ccgs_on_product(self):
url = '/spending_by_ccg'
url += '?format=csv&code=0204000I0BC'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 1)
self.assertEqual(rows[0]['row_id'], '03V')
self.assertEqual(rows[0]['row_name'], 'NHS Corby')
self.assertEqual(rows[0]['date'], '2014-11-01')
self.assertEqual(rows[0]['actual_cost'], '32.26')
self.assertEqual(rows[0]['items'], '29')
self.assertEqual(rows[0]['quantity'], '2350')
def test_spending_by_all_ccgs_on_presentation(self):
url = '/spending_by_ccg'
url += '?format=csv&code=0202010B0AAABAB'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 3)
self.assertEqual(rows[2]['row_id'], '03V')
self.assertEqual(rows[2]['row_name'], 'NHS Corby')
self.assertEqual(rows[2]['date'], '2014-11-01')
self.assertEqual(rows[2]['actual_cost'], '54.26')
self.assertEqual(rows[2]['items'], '62')
self.assertEqual(rows[2]['quantity'], '2788')
def test_spending_by_all_ccgs_on_multiple_presentations(self):
url = '/spending_by_ccg'
url += '?format=csv&code=0202010F0AAAAAA,0202010B0AAACAC'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 7)
self.assertEqual(rows[0]['row_id'], '03Q')
self.assertEqual(rows[0]['row_name'], 'NHS Vale of York')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '3.05')
self.assertEqual(rows[0]['items'], '2')
self.assertEqual(rows[0]['quantity'], '56')
def test_spending_by_all_ccgs_on_bnf_section(self):
url = '/spending_by_ccg?format=csv&code=2.2.1'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 9)
self.assertEqual(rows[0]['row_id'], '03Q')
self.assertEqual(rows[0]['row_name'], 'NHS Vale of York')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '3.05')
self.assertEqual(rows[0]['items'], '2')
self.assertEqual(rows[0]['quantity'], '56')
self.assertEqual(rows[-1]['row_id'], '03V')
self.assertEqual(rows[-1]['row_name'], 'NHS Corby')
self.assertEqual(rows[-1]['date'], '2014-11-01')
self.assertEqual(rows[-1]['actual_cost'], '54.26')
self.assertEqual(rows[-1]['items'], '62')
self.assertEqual(rows[-1]['quantity'], '2788')
def test_spending_by_all_ccgs_on_multiple_bnf_sections(self):
url = '/spending_by_ccg?format=csv&code=2.2,2.4'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 9)
self.assertEqual(rows[-1]['row_id'], '03V')
self.assertEqual(rows[-1]['row_name'], 'NHS Corby')
self.assertEqual(rows[-1]['date'], '2014-11-01')
self.assertEqual(rows[-1]['actual_cost'], '90.54')
self.assertEqual(rows[-1]['items'], '95')
self.assertEqual(rows[-1]['quantity'], '5142')
########################################
# Total spending by practice.
########################################
def test_spending_by_all_practices_on_product_without_date(self):
url = '%s/spending_by_practice' % self.api_prefix
url += '?format=csv&code=0204000I0BC'
response = self.client.get(url, follow=True)
self.assertEqual(response.status_code, 400)
def test_total_spending_by_practice(self):
url = '/spending_by_practice'
url += '?format=csv&date=2014-11-01'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[0]['row_id'], 'K83059')
self.assertEqual(rows[0]['row_name'], 'DR KHALID & PARTNERS')
self.assertEqual(rows[0]['date'], '2014-11-01')
self.assertEqual(rows[0]['setting'], '-1')
self.assertEqual(rows[0]['ccg'], '03V')
self.assertEqual(rows[0]['actual_cost'], '26.28')
self.assertEqual(rows[0]['items'], '40')
self.assertEqual(rows[0]['quantity'], '2543')
def test_spending_by_practice_on_chemical(self):
url = '/spending_by_practice'
url += '?format=csv&code=0204000I0&date=2014-11-01'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[0]['row_id'], 'K83059')
self.assertEqual(rows[0]['row_name'], 'DR KHALID & PARTNERS')
self.assertEqual(rows[0]['setting'], '-1')
self.assertEqual(rows[0]['ccg'], '03V')
self.assertEqual(rows[0]['date'], '2014-11-01')
self.assertEqual(rows[0]['actual_cost'], '14.15')
self.assertEqual(rows[0]['items'], '16')
self.assertEqual(rows[0]['quantity'], '1154')
def test_spending_by_all_practices_on_chemical_with_date(self):
url = '/spending_by_practice'
url += '?format=csv&code=0202010F0&date=2014-09-01'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[0]['row_id'], 'N84014')
self.assertEqual(rows[0]['actual_cost'], '11.99')
self.assertEqual(rows[0]['items'], '1')
self.assertEqual(rows[0]['quantity'], '128')
self.assertEqual(rows[1]['row_id'], 'P87629')
self.assertEqual(rows[1]['actual_cost'], '1.99')
self.assertEqual(rows[1]['items'], '1')
self.assertEqual(rows[1]['quantity'], '32')
def test_spending_by_one_practice(self):
url = '/spending_by_practice?format=csv&org=P87629'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 5)
self.assertEqual(rows[-1]['row_id'], 'P87629')
self.assertEqual(rows[-1]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[-1]['date'], '2014-11-01')
self.assertEqual(rows[-1]['actual_cost'], '64.26')
self.assertEqual(rows[-1]['items'], '55')
self.assertEqual(rows[-1]['quantity'], '2599')
def test_spending_by_one_practice_on_chemical(self):
url = '/spending_by_practice'
url += '?format=csv&code=0202010B0&org=P87629'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 5)
self.assertEqual(rows[-1]['row_id'], 'P87629')
self.assertEqual(rows[-1]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[-1]['setting'], '4')
self.assertEqual(rows[-1]['ccg'], '03V')
self.assertEqual(rows[-1]['date'], '2014-11-01')
self.assertEqual(rows[-1]['actual_cost'], '42.13')
self.assertEqual(rows[-1]['items'], '38')
self.assertEqual(rows[-1]['quantity'], '1399')
def test_spending_by_practice_on_multiple_chemicals(self):
url = '/spending_by_practice?format=csv'
url += '&code=0202010B0,0204000I0&org=P87629,K83059'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 6)
self.assertEqual(rows[2]['row_id'], 'P87629')
self.assertEqual(rows[2]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[2]['date'], '2013-10-01')
self.assertEqual(rows[2]['actual_cost'], '1.62')
self.assertEqual(rows[2]['items'], '1')
self.assertEqual(rows[2]['quantity'], '24')
def test_spending_by_all_practices_on_product(self):
url = '/spending_by_practice'
url += '?format=csv&code=0202010B0AA&date=2014-11-01'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[0]['row_id'], 'K83059')
self.assertEqual(rows[0]['actual_cost'], '12.13')
self.assertEqual(rows[0]['items'], '24')
self.assertEqual(rows[0]['quantity'], '1389')
self.assertEqual(rows[1]['row_id'], 'P87629')
self.assertEqual(rows[1]['actual_cost'], '42.13')
self.assertEqual(rows[1]['items'], '38')
self.assertEqual(rows[1]['quantity'], '1399')
def test_spending_by_all_practices_on_presentation(self):
url = '/spending_by_practice'
url += '?format=csv&code=0202010B0AAABAB&date=2014-11-01'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[0]['row_id'], 'K83059')
self.assertEqual(rows[0]['actual_cost'], '12.13')
self.assertEqual(rows[0]['items'], '24')
self.assertEqual(rows[0]['quantity'], '1389')
self.assertEqual(rows[1]['row_id'], 'P87629')
self.assertEqual(rows[1]['actual_cost'], '42.13')
self.assertEqual(rows[1]['items'], '38')
self.assertEqual(rows[1]['quantity'], '1399')
def test_spending_by_practice_on_presentation(self):
url = '/spending_by_practice'
url += '?format=csv&code=0204000I0BCAAAB&org=03V'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 2)
self.assertEqual(rows[1]['row_id'], 'P87629')
self.assertEqual(rows[1]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[1]['setting'], '4')
self.assertEqual(rows[1]['ccg'], '03V')
self.assertEqual(rows[1]['date'], '2014-11-01')
self.assertEqual(rows[1]['actual_cost'], '22.13')
self.assertEqual(rows[1]['items'], '17')
self.assertEqual(rows[1]['quantity'], '1200')
def test_spending_by_practice_on_multiple_presentations(self):
url = '/spending_by_practice'
url += '?format=csv&code=0204000I0BCAAAB,0202010B0AAABAB&org=03V'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 3)
self.assertEqual(rows[2]['row_id'], 'P87629')
self.assertEqual(rows[2]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[2]['date'], '2014-11-01')
self.assertEqual(rows[2]['actual_cost'], '64.26')
self.assertEqual(rows[2]['items'], '55')
self.assertEqual(rows[2]['quantity'], '2599')
def test_spending_by_practice_on_section(self):
url = '/spending_by_practice'
url += '?format=csv&code=2&org=03V'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 6)
self.assertEqual(rows[-1]['row_id'], 'P87629')
self.assertEqual(rows[-1]['row_name'], '1/ST ANDREWS MEDICAL PRACTICE')
self.assertEqual(rows[-1]['date'], '2014-11-01')
self.assertEqual(rows[-1]['actual_cost'], '64.26')
self.assertEqual(rows[-1]['items'], '55')
self.assertEqual(rows[-1]['quantity'], '2599')
def test_spending_by_practice_on_multiple_sections(self):
url = '/spending_by_practice'
url += '?format=csv&code=0202,0204&org=03Q'
rows = self._rows_from_api(url)
self.assertEqual(len(rows), 4)
self.assertEqual(rows[0]['row_id'], 'N84014')
self.assertEqual(rows[0]['row_name'], 'AINSDALE VILLAGE SURGERY')
self.assertEqual(rows[0]['date'], '2013-04-01')
self.assertEqual(rows[0]['actual_cost'], '3.05')
self.assertEqual(rows[0]['items'], '2')
self.assertEqual(rows[0]['quantity'], '56')
class TestAPISpendingViewsPPUTable(ApiTestBase):
fixtures = ApiTestBase.fixtures + ['ppusavings', 'dmdproducts']
def _get(self, **data):
data['format'] = 'json'
url = self.api_prefix + '/price_per_unit/'
rsp = self.client.get(url, data, follow=True)
return json.loads(rsp.content)
def _expected_results(self, ids):
# This is something of a hack; because of the SELECT DISTINCT, we
# expect some queries to return one of two rows, but we don't know
# which will be returned, and nor do we care.
class Verapamil:
def __eq__(self, other):
return other in [
"Verapamil 160mg tablets",
"Verapamil 160mg tablets (dupe)",
]
expected = [{
"id": 1,
"lowest_decile": 0.1,
"presentation": "0202010F0AAAAAA",
"name": Verapamil(),
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": "P87629",
"formulation_swap": None,
"pct": "03V",
"practice_name": "1/ST Andrews Medical Practice",
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": True,
}, {
"id": 2,
"lowest_decile": 0.1,
"presentation": "0202010F0AAAAAA",
"name": Verapamil(),
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": None,
"formulation_swap": None,
"pct": "03V",
"practice_name": None,
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": True,
}, {
"id": 3,
"lowest_decile": 0.1,
"presentation": "0906050P0AAAFAF",
"name": "Vitamin E 400unit capsules",
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": "P87629",
"formulation_swap": None,
"pct": "03V",
"practice_name": "1/ST Andrews Medical Practice",
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": False,
}, {
"id": 4,
"lowest_decile": 0.1,
"presentation": "0906050P0AAAFAF",
"name": "Vitamin E 400unit capsules",
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": None,
"formulation_swap": None,
"pct": "03V",
"practice_name": None,
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": False,
}, {
"id": 5,
"lowest_decile": 0.1,
"presentation": "0202010F0AAAAAA",
"name": Verapamil(),
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": "N84014",
"formulation_swap": None,
"pct": "03Q",
"practice_name": "Ainsdale Village Surgery",
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": True,
}, {
"id": 6,
"lowest_decile": 0.1,
"presentation": "0202010F0AAAAAA",
"name": Verapamil(),
"price_per_unit": 0.2,
"flag_bioequivalence": False,
"practice": None,
"formulation_swap": None,
"pct": "03Q",
"practice_name": None,
"date": "2014-11-01",
"quantity": 1,
"possible_savings": 100.0,
"price_concession": True,
}]
return [r for r in expected if r['id'] in ids]
def test_bnf_code(self):
data = self._get(bnf_code='0202010F0AAAAAA', date='2014-11-01')
data.sort(key=lambda r: r['id'])
self.assertEqual(data, self._expected_results([1, 2, 5, 6]))
def test_bnf_code_no_data_for_month(self):
data = self._get(bnf_code='0202010F0AAAAAA', date='2014-12-01')
self.assertEqual(len(data), 0)
def test_invalid_bnf_code(self):
data = self._get(bnf_code='XYZ', date='2014-11-01')
self.assertEqual(data, {'detail': 'Not found.'})
def test_entity_code_practice(self):
data = self._get(entity_code='P87629', date='2014-11-01')
data.sort(key=lambda r: r['id'])
self.assertEqual(data, self._expected_results([1, 3]))
def test_entity_code_practice_no_data_for_month(self):
data = self._get(entity_code='P87629', date='2014-12-01')
self.assertEqual(len(data), 0)
def test_invalid_entity_code_practice(self):
data = self._get(entity_code='P00000', date='2014-11-01')
self.assertEqual(data, {'detail': 'Not found.'})
def test_entity_code_ccg(self):
data = self._get(entity_code='03V', date='2014-11-01')
data.sort(key=lambda r: r['id'])
self.assertEqual(data, self._expected_results([2, 4]))
def test_entity_code_ccg_and_bnf_code(self):
data = self._get(entity_code='03V', bnf_code='0202010F0AAAAAA',
date='2014-11-01')
self.assertEqual(data, self._expected_results([1]))
def test_entity_code_ccg_no_data_for_month(self):
data = self._get(entity_code='03V', date='2014-12-01')
self.assertEqual(len(data), 0)
def test_invalid_entity_code_ccg(self):
data = self._get(entity_code='000', date='2014-11-01')
self.assertEqual(data, {'detail': 'Not found.'})
class TestAPISpendingViewsPPUBubble(ApiTestBase):
fixtures = ApiTestBase.fixtures + ['importlog']
def test_simple(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAB&date=2014-11-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(len(data['series']), 1) # Only Trandate prescribed
self.assertEqual(len([x for x in data if x[1]]), 3)
def test_date(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAB&date=2000-01-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(len(data['series']), 0)
def test_highlight(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAB&date=2014-11-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
# N.B. This is the mean of a *single* value; although there
# are two values in the raw data, one is trimmed as it is
# outside the 99th percentile
self.assertEqual(data['plotline'], 0.0325)
def test_code_without_matches(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAX&date=2014-11-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertIsNone(data['plotline'])
def test_focus(self):
url = '/bubble?format=json'
url += '&bnf_code=0202010F0AAAAAA&date=2014-09-01'
url += '&highlight=03V&focus=1'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(
data,
{'series': [
{'y': 0.09, 'x': 1, 'z': 32.0,
'name': 'Chlortalidone_Tab 50mg',
'mean_ppu': 0.09}],
'categories': [
{'is_generic': True, 'name': 'Chlortalidone_Tab 50mg'}],
'plotline': 0.08875}
)
def test_no_focus(self):
url = '/bubble?format=json'
url += '&bnf_code=0202010F0AAAAAA&date=2014-09-01'
url += '&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(
data,
{'series': [
{'y': 0.09, 'x': 1, 'z': 32.0,
'name': 'Chlortalidone_Tab 50mg',
'mean_ppu': 0.095},
{'y': 0.1, 'x': 1, 'z': 128.0,
'name': 'Chlortalidone_Tab 50mg',
'mean_ppu': 0.095}],
'categories': [
{'is_generic': True, 'name': 'Chlortalidone_Tab 50mg'}],
'plotline': 0.08875}
)
def test_trim(self):
url = '/bubble?format=json'
url += '&bnf_code=0202010F0AAAAAA&date=2014-09-01'
url += '&highlight=03V&trim=1'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(
data,
{'series': [
{'y': 0.09, 'x': 1, 'z': 32.0,
'name': 'Chlortalidone_Tab 50mg',
'mean_ppu': 0.095}],
'categories': [
{'is_generic': True, 'name': 'Chlortalidone_Tab 50mg'}],
'plotline': 0.08875}
)
class TestAPISpendingViewsPPUWithGenericMapping(ApiTestBase):
fixtures = ApiTestBase.fixtures + ['importlog', 'genericcodemapping']
def test_with_wildcard(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAB&date=2014-11-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
# Expecting the total to be quite different
self.assertEqual(data['plotline'], 0.0315505963832243)
# Bendroflumethiazide and Trandate:
self.assertEqual(len(data['series']), 2)
def test_with_specific(self):
url = '/bubble?format=json'
url += '&bnf_code=0204000I0BCAAAX&date=2014-11-01&highlight=03V'
url = self.api_prefix + url
response = self.client.get(url, follow=True)
data = json.loads(response.content)
self.assertEqual(data['plotline'], 0.0325)
| 42.318741
| 79
| 0.585098
| 3,792
| 30,935
| 4.606276
| 0.091508
| 0.214691
| 0.219729
| 0.087021
| 0.86277
| 0.801912
| 0.775749
| 0.716551
| 0.698002
| 0.658041
| 0
| 0.081667
| 0.241603
| 30,935
| 730
| 80
| 42.376712
| 0.662845
| 0.016131
| 0
| 0.5919
| 0
| 0
| 0.244078
| 0.066229
| 0
| 0
| 0
| 0
| 0.392523
| 1
| 0.090343
| false
| 0
| 0.012461
| 0.001558
| 0.121495
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.