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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c3472b5bb09f2971b4ecc1e1d87b28feeb70f64c | 1,800 | py | Python | pypy/module/_bisect/interp_bisect.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | 1 | 2020-01-21T11:10:51.000Z | 2020-01-21T11:10:51.000Z | pypy/module/_bisect/interp_bisect.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | pypy/module/_bisect/interp_bisect.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | from pypy.interpreter.error import OperationError
from pypy.interpreter.gateway import unwrap_spec
@unwrap_spec(lo=int, hi=int)
def bisect_left(space, w_a, w_x, lo=0, hi=-1):
"""Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e < x, and all e in
a[i:] have e >= x. So if x already appears in the list, i points just
before the leftmost x already there.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched."""
if lo < 0:
raise OperationError(space.w_ValueError,
space.wrap("lo must be non-negative"))
if hi == -1:
hi = space.len_w(w_a)
while lo < hi:
mid = (lo + hi) >> 1
w_litem = space.getitem(w_a, space.wrap(mid))
if space.is_true(space.lt(w_litem, w_x)):
lo = mid + 1
else:
hi = mid
return space.wrap(lo)
@unwrap_spec(lo=int, hi=int)
def bisect_right(space, w_a, w_x, lo=0, hi=-1):
"""Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e <= x, and all e in
a[i:] have e > x. So if x already appears in the list, i points just
beyond the rightmost x already there
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched."""
if lo < 0:
raise OperationError(space.w_ValueError,
space.wrap("lo must be non-negative"))
if hi == -1:
hi = space.len_w(w_a)
while lo < hi:
mid = (lo + hi) >> 1
w_litem = space.getitem(w_a, space.wrap(mid))
if space.is_true(space.lt(w_x, w_litem)):
hi = mid
else:
lo = mid + 1
return space.wrap(lo)
| 33.962264 | 79 | 0.607222 | 317 | 1,800 | 3.369085 | 0.236593 | 0.011236 | 0.022472 | 0.026217 | 0.805243 | 0.805243 | 0.805243 | 0.805243 | 0.750936 | 0.750936 | 0 | 0.010886 | 0.285556 | 1,800 | 52 | 80 | 34.615385 | 0.819596 | 0.382778 | 0 | 0.8125 | 0 | 0 | 0.041818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.1875 | 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 |
5eda004b6d98c35400b83fdfe12b724063abd54f | 3,827 | py | Python | tests/test_all.py | TGIfr/CSEplaylist | 050fe3a7da27e757d128a34cb4f7a9da411ab266 | [
"MIT"
] | 1 | 2018-03-10T19:27:14.000Z | 2018-03-10T19:27:14.000Z | tests/test_all.py | TGIfr/CSEplaylist | 050fe3a7da27e757d128a34cb4f7a9da411ab266 | [
"MIT"
] | null | null | null | tests/test_all.py | TGIfr/CSEplaylist | 050fe3a7da27e757d128a34cb4f7a9da411ab266 | [
"MIT"
] | null | null | null | import unittest
import id3
import htmltags
import nesting
import xmlHelper
class TestMethods(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
#id3
def test_get_genre(self):
self.assertTrue(id3.get_genre("http://ol7.mp3party.net/online/8500/8500219.mp3") == "Unknown")
self.assertTrue(id3.get_genre("http://ol7.mp3party.net") == "Unknown")
self.assertTrue(id3.get_genre("http://ol5.mp3party.net/online/7813/7813030.mp3") == ['Alternative'])
#htmltags
def test_hrefs(self):
self.assertTrue(htmltags.hrefs("http://mp3party.net/music/8500219", nested=0) == set())
set1 = {'https://litworld.herokuapp.com/contacts', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/search'}
set2 = {'https://litworld.herokuapp.com/contacts', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/search', 'https://litworld.herokuapp.com/'}
set3 = {'https://litworld.herokuapp.com/contacts'}
self.assertTrue(sorted(htmltags.hrefs("https://litworld.herokuapp.com/", nested=1)) == sorted(set1))
self.assertTrue(sorted(htmltags.hrefs("https://litworld.herokuapp.com/", nested=3)) == sorted(set2))
self.assertFalse(htmltags.hrefs("http://mp3party.net/music/8500219", nested=0) == sorted(set3))
def test_mp3refs(self):
self.assertTrue(htmltags.mp3refs("http://mp3party.net/music/8500219") == ['http://ol7.mp3party.net/online/8500/8500219.mp3'])
#nesting.py
def test_get_nested_links(self):
links1 = ['https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/search', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/contacts']
links2 = ['https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/search', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/contacts', 'https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/register/signup', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/register/signup', 'https://litworld.herokuapp.com/search', 'https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/register/signup', 'https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/register/signup', 'https://litworld.herokuapp.com/contacts']
self.assertTrue(nesting.get_nested_links("https://litworld.herokuapp.com/", 1) == links1)
links3 = ['https://litworld.herokuapp.com/', 'https://litworld.herokuapp.com/world', 'https://litworld.herokuapp.com/search', 'https://litworld.herokuapp.com/register/login', 'https://litworld.herokuapp.com/contacts', 'https://litworld.herokuapp.com/register/signup', 'https://litworld.herokuapp.com/login']
self.assertTrue(nesting.get_nested_links("https://litworld.herokuapp.com/", 3) == links3)
self.assertTrue(nesting.get_nested_links("https://litworld.herokuapp.com/", 0) == [])
self.assertTrue(nesting.get_nested_links_from_list(links1) == links2)
#xmlHelper
def test_parse(self):
print(xmlHelper.save('tests/test1.xml', 's'))
self.assertTrue(xmlHelper.parse('tests/test.xml') == [])
test = '<songs><song>s</song></songs>'
self.assertTrue(xmlHelper.save('tests/test1.xml', 's') == test)
if __name__ == '__main__':
unittest.main()
| 69.581818 | 885 | 0.702639 | 461 | 3,827 | 5.770065 | 0.158351 | 0.234586 | 0.396992 | 0.451128 | 0.785338 | 0.772932 | 0.739474 | 0.707895 | 0.68609 | 0.603759 | 0 | 0.028288 | 0.103998 | 3,827 | 54 | 886 | 70.87037 | 0.747448 | 0.007839 | 0 | 0.051282 | 0 | 0 | 0.576588 | 0.007646 | 0 | 0 | 0 | 0 | 0.358974 | 1 | 0.179487 | false | 0.051282 | 0.128205 | 0 | 0.333333 | 0.025641 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
6f0729336d7ff7421fb769b85ffd0f256eb43b24 | 11,752 | py | Python | tests/commands/test_test.py | williamirick/hatch | 704cdcd1a0cd3a621235ac9f5b2b90e7524e3cd3 | [
"Apache-2.0",
"MIT"
] | 2,549 | 2017-09-05T06:44:17.000Z | 2022-03-31T23:21:02.000Z | tests/commands/test_test.py | williamirick/hatch | 704cdcd1a0cd3a621235ac9f5b2b90e7524e3cd3 | [
"Apache-2.0",
"MIT"
] | 97 | 2017-06-07T23:14:12.000Z | 2022-03-30T14:22:34.000Z | tests/commands/test_test.py | williamirick/hatch | 704cdcd1a0cd3a621235ac9f5b2b90e7524e3cd3 | [
"Apache-2.0",
"MIT"
] | 140 | 2017-06-10T14:16:47.000Z | 2022-03-23T09:25:01.000Z | import os
from click.testing import CliRunner
from hatch.cli import hatch
from hatch.env import (
get_editable_packages, get_installed_packages, install_packages
)
from hatch.utils import env_vars, temp_chdir
from hatch.venv import create_venv, is_venv, venv
from ..utils import requires_internet, wait_until
def create_test_passing(d):
with open(os.path.join(d, 'tests', 'test_add.py'), 'w') as f:
f.write(
'def test_add():\n'
' assert 1 + 2 == 3\n'
)
def create_test_failing(d):
with open(os.path.join(d, 'tests', 'test_add.py'), 'w') as f:
f.write(
'def test_add():\n'
' assert 1 + 2 != 3\n'
)
def create_test_complete_coverage(d, pkg):
with open(os.path.join(d, pkg, 'core.py'), 'w') as f:
f.write(
'def square_5():\n'
' return 5 ** 2\n'
)
with open(os.path.join(d, 'tests', 'test_core.py'), 'w') as f:
f.write(
'from {pkg}.core import square_5\n'
'def test_square_5():\n'
' assert square_5() == 25\n'.format(pkg=pkg)
)
def create_test_incomplete_coverage(d, pkg):
with open(os.path.join(d, pkg, 'core.py'), 'w') as f:
f.write(
'def square_5():\n'
' return 5 ** 2\n'
)
with open(os.path.join(d, 'tests', 'test_add.py'), 'w') as f:
f.write(
'import {}\n'
'def test_add():\n'
' assert 1 + 2 == 3\n'.format(pkg)
)
def test_passing_cwd():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_passing(d)
result = runner.invoke(hatch, ['test', '-nd'])
assert result.exit_code == 0
assert '1 passed' in result.output
def test_failing_cwd():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_failing(d)
result = runner.invoke(hatch, ['test', '-nd'])
assert result.exit_code == 1
assert '1 failed' in result.output
@requires_internet
def test_project_existing_venv():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic'])
venv_dir = os.path.join(d, 'venv')
wait_until(is_venv, venv_dir)
with venv(venv_dir):
install_packages(['pytest', 'coverage'])
installed_packages = get_installed_packages(editable=False)
assert 'pytest' in installed_packages
assert 'coverage' in installed_packages
create_test_passing(d)
with env_vars({'_IGNORE_VENV_': '1'}):
result = runner.invoke(hatch, ['test'])
assert result.exit_code == 0
assert '1 passed' in result.output
@requires_internet
def test_project_no_venv():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_passing(d)
with env_vars({'_IGNORE_VENV_': '1'}):
result = runner.invoke(hatch, ['test'])
with venv(os.path.join(d, 'venv')):
assert 'ok' in get_editable_packages()
installed_packages = get_installed_packages(editable=False)
assert 'pytest' in installed_packages
assert 'coverage' in installed_packages
assert result.exit_code == 0
assert 'A project has been detected!' in result.output
assert 'Creating a dedicated virtual env... complete!' in result.output
assert 'Installing this project in the virtual env...' in result.output
assert 'Ensuring pytest and coverage are available...' in result.output
assert '1 passed' in result.output
@requires_internet
def test_project_no_venv_install_dev_requirements():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
with open(os.path.join(d, 'dev-requirements.txt'), 'w') as f:
f.write('six\n')
create_test_passing(d)
with env_vars({'_IGNORE_VENV_': '1'}):
result = runner.invoke(hatch, ['test'])
with venv(os.path.join(d, 'venv')):
assert 'ok' in get_editable_packages()
installed_packages = get_installed_packages(editable=False)
assert 'pytest' in installed_packages
assert 'coverage' in installed_packages
assert 'six' in installed_packages
assert result.exit_code == 0
assert 'A project has been detected!' in result.output
assert 'Creating a dedicated virtual env... complete!' in result.output
assert 'Installing this project in the virtual env...' in result.output
assert 'Ensuring pytest and coverage are available...' in result.output
assert 'Installing test dependencies in the virtual env...' in result.output
assert '1 passed' in result.output
@requires_internet
def test_project_no_venv_coverage():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_complete_coverage(d, 'ok')
with env_vars({'_IGNORE_VENV_': '1'}):
result = runner.invoke(hatch, ['test', '-c'])
assert result.exit_code == 0
assert '1 passed' in result.output
assert result.output.strip().endswith(' 100%')
@requires_internet
def test_project_no_venv_coverage_merge():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_complete_coverage(d, 'ok')
with env_vars({'_IGNORE_VENV_': '1'}):
runner.invoke(hatch, ['test', '-c'])
result = runner.invoke(hatch, ['test', '-c', '-m'])
assert result.exit_code == 0
assert '1 passed' in result.output
assert result.output.strip().endswith(' 100%')
@requires_internet
def test_package():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
package_dir = os.path.join(d, 'ok')
create_test_passing(package_dir)
venv_dir = os.path.join(d, 'venv')
create_venv(venv_dir)
with venv(venv_dir):
os.chdir(package_dir)
install_packages(['-e', '.'])
os.chdir(d)
result = runner.invoke(hatch, ['test', '-nd', 'ok', '-g'])
assert result.exit_code == 0
assert '1 passed' in result.output
def test_package_not_exist():
with temp_chdir() as d:
runner = CliRunner()
venv_dir = os.path.join(d, 'venv')
create_venv(venv_dir)
with venv(venv_dir):
result = runner.invoke(hatch, ['test', '-nd', 'ok'])
assert result.exit_code == 1
assert '`{}` is not an editable package.'.format('ok') in result.output
@requires_internet
def test_local():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
package_dir = os.path.join(d, 'ok')
create_test_passing(package_dir)
venv_dir = os.path.join(d, 'venv')
create_venv(venv_dir)
with venv(venv_dir):
install_packages(['-e', package_dir])
result = runner.invoke(hatch, ['test', '-nd', '-l', '-g'])
assert result.exit_code == 0
assert 'Package `ok` has been selected.' in result.output
assert '1 passed' in result.output
def test_local_not_exist():
with temp_chdir() as d:
runner = CliRunner()
venv_dir = os.path.join(d, 'venv')
create_venv(venv_dir)
with venv(venv_dir):
result = runner.invoke(hatch, ['test', '-nd', '-l', '-g'])
assert result.exit_code == 1
assert 'There are no local packages available.' in result.output
@requires_internet
def test_local_multiple():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
runner.invoke(hatch, ['new', 'ko', '--basic', '-ne'])
venv_dir = os.path.join(d, 'venv')
create_venv(venv_dir)
with venv(venv_dir):
install_packages(['-e', os.path.join(d, 'ok')])
install_packages(['-e', os.path.join(d, 'ko')])
result = runner.invoke(hatch, ['test', '-nd', '-l', '-g'])
assert result.exit_code == 1
assert (
'There are multiple local packages available. '
'Select one with the optional argument.'
) in result.output
def test_path_relative():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
create_test_passing(os.path.join(d, 'ok'))
result = runner.invoke(hatch, ['test', '-nd', '-p', 'ok'])
assert result.exit_code == 0
assert '1 passed' in result.output
def test_path_full():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
runner.invoke(hatch, ['new', 'ko', '--basic', '-ne'])
package_dir = os.path.join(d, 'ok')
create_test_passing(package_dir)
os.chdir(os.path.join(d, 'ko'))
result = runner.invoke(hatch, ['test', '-nd', '-p', os.path.join(d, 'ok')])
assert result.exit_code == 0
assert '1 passed' in result.output
def test_path_full_not_exist():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['new', 'ok', '--basic', '-ne'])
full_path = os.path.join(d, 'ko')
result = runner.invoke(hatch, ['test', '-nd', '-p', full_path])
assert result.exit_code == 1
assert 'Directory `{}` does not exist.'.format(full_path) in result.output
def test_coverage_complete():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_complete_coverage(d, 'ok')
result = runner.invoke(hatch, ['test', '-nd', '-c'])
assert result.exit_code == 0
assert '1 passed' in result.output
assert result.output.strip().endswith(' 100%')
def test_coverage_complete_merge():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_complete_coverage(d, 'ok')
runner.invoke(hatch, ['test', '-nd', '-c'])
result = runner.invoke(hatch, ['test', '-nd', '-c', '-m'])
assert result.exit_code == 0
assert '1 passed' in result.output
assert result.output.strip().endswith(' 100%')
def test_coverage_incomplete():
with temp_chdir() as d:
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
create_test_incomplete_coverage(d, 'ok')
result = runner.invoke(hatch, ['test', '-nd', '-c'])
assert result.exit_code == 0
assert '1 passed' in result.output
assert not result.output.strip().endswith(' 100%')
def test_test_args():
with temp_chdir():
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
result = runner.invoke(hatch, ['test', '-nd', '-ta', '--help'])
assert '-k EXPRESSION' in result.output
def test_coverage_args():
with temp_chdir():
runner = CliRunner()
runner.invoke(hatch, ['init', 'ok', '--basic', '-ne'])
result = runner.invoke(hatch, ['test', '-nd', '-c', '-ca', '--help'])
assert '--parallel-mode' in result.output
| 31.42246 | 84 | 0.581178 | 1,498 | 11,752 | 4.393858 | 0.089453 | 0.076572 | 0.108478 | 0.040109 | 0.873899 | 0.852628 | 0.817381 | 0.791097 | 0.75904 | 0.742176 | 0 | 0.008338 | 0.265231 | 11,752 | 373 | 85 | 31.506702 | 0.753909 | 0 | 0 | 0.677536 | 0 | 0 | 0.158781 | 0 | 0 | 0 | 0 | 0 | 0.23913 | 1 | 0.086957 | false | 0.083333 | 0.032609 | 0 | 0.119565 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
6f22563cdbcdd326af9d700ba8da682139675e6b | 4,535 | py | Python | tests/test_all.py | liskin/foursquare-swarm-ical | 2497f496f6430059c2cc5fc13be0ce4aeaa643e6 | [
"MIT"
] | 6 | 2021-03-20T07:32:05.000Z | 2022-03-13T00:22:54.000Z | tests/test_all.py | liskin/foursquare-swarm-ical | 2497f496f6430059c2cc5fc13be0ce4aeaa643e6 | [
"MIT"
] | null | null | null | tests/test_all.py | liskin/foursquare-swarm-ical | 2497f496f6430059c2cc5fc13be0ce4aeaa643e6 | [
"MIT"
] | 1 | 2022-03-13T00:21:39.000Z | 2022-03-13T00:21:39.000Z | import textwrap
import pytest # type: ignore [import]
from foursquare_swarm_ical import db
from foursquare_swarm_ical.emoji import Emojis
from foursquare_swarm_ical import ical
@pytest.mark.vcr
def test_all():
with db.database(":memory:") as db_conn:
# initial sync
db.sync(db=db_conn, access_token="TEST", verbose=-1)
# check that we have all the checkins we expect
checkins = [list(row) for row in db_conn.execute(
"SELECT id, createdAt FROM checkins ORDER BY createdAt")]
assert checkins == [
['5e4438da6f33df00072b2e60', 1581529306],
['5e452f61ba340a000874006b', 1581592417],
['5e45c278162b2c0008794e67', 1581630072],
]
# delete newest checkin
db_conn.execute("DELETE FROM checkins ORDER BY createdAt DESC LIMIT 0")
# sync again
db.sync(db=db_conn, access_token="TEST", verbose=-1)
# recheck that we have all the checkins we expect
checkins = [list(row) for row in db_conn.execute(
"SELECT id, createdAt FROM checkins ORDER BY createdAt")]
assert checkins == [
['5e4438da6f33df00072b2e60', 1581529306],
['5e452f61ba340a000874006b', 1581592417],
['5e45c278162b2c0008794e67', 1581630072],
]
# check ical generation
emojis = Emojis()
assert ical.ical(db=db_conn, emojis=emojis) == textwrap.dedent("""\
BEGIN:VCALENDAR
VERSION:2.0
PRODID:foursquare-swarm-ical
BEGIN:VEVENT
SUMMARY:🍺 Pivnice Pegas
DTSTART;VALUE=DATE-TIME:20200212T174146Z
DTEND;VALUE=DATE-TIME:20200212T174146Z
UID:5e4438da6f33df00072b2e60@foursquare.com
GEO:49.203087013053825;16.595776878926344
LOCATION:Jiráskova 44\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e4438da6f33df00072b2e60
END:VEVENT
BEGIN:VEVENT
SUMMARY:🍴 Zahrada Ambrosia
DTSTART;VALUE=DATE-TIME:20200213T111337Z
DTEND;VALUE=DATE-TIME:20200213T111337Z
UID:5e452f61ba340a000874006b@foursquare.com
GEO:49.1980983508588;16.597204121337384
LOCATION:Údolní 599/37\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e452f61ba340a000874006b
END:VEVENT
BEGIN:VEVENT
SUMMARY:🍺 U Vašinů
DTSTART;VALUE=DATE-TIME:20200213T214112Z
DTEND;VALUE=DATE-TIME:20200213T214112Z
UID:5e45c278162b2c0008794e67@foursquare.com
GEO:49.207467399173076;16.60221666114012
LOCATION:Kotlářská 907/41\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e45c278162b2c0008794e67
END:VEVENT
END:VCALENDAR
""").replace('\n', '\r\n').encode('utf-8')
assert ical.ical(db=db_conn, emojis=None) == textwrap.dedent("""\
BEGIN:VCALENDAR
VERSION:2.0
PRODID:foursquare-swarm-ical
BEGIN:VEVENT
SUMMARY:@ Pivnice Pegas
DTSTART;VALUE=DATE-TIME:20200212T174146Z
DTEND;VALUE=DATE-TIME:20200212T174146Z
UID:5e4438da6f33df00072b2e60@foursquare.com
GEO:49.203087013053825;16.595776878926344
LOCATION:Jiráskova 44\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e4438da6f33df00072b2e60
END:VEVENT
BEGIN:VEVENT
SUMMARY:@ Zahrada Ambrosia
DTSTART;VALUE=DATE-TIME:20200213T111337Z
DTEND;VALUE=DATE-TIME:20200213T111337Z
UID:5e452f61ba340a000874006b@foursquare.com
GEO:49.1980983508588;16.597204121337384
LOCATION:Údolní 599/37\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e452f61ba340a000874006b
END:VEVENT
BEGIN:VEVENT
SUMMARY:@ U Vašinů
DTSTART;VALUE=DATE-TIME:20200213T214112Z
DTEND;VALUE=DATE-TIME:20200213T214112Z
UID:5e45c278162b2c0008794e67@foursquare.com
GEO:49.207467399173076;16.60221666114012
LOCATION:Kotlářská 907/41\\, 602 00 Brno\\, Česká republika
URL:https://www.swarmapp.com/self/checkin/5e45c278162b2c0008794e67
END:VEVENT
END:VCALENDAR
""").replace('\n', '\r\n').encode('utf-8')
| 41.227273 | 79 | 0.627343 | 466 | 4,535 | 6.075107 | 0.263949 | 0.038149 | 0.055104 | 0.042388 | 0.9071 | 0.876722 | 0.876722 | 0.856941 | 0.856941 | 0.856941 | 0 | 0.247243 | 0.280265 | 4,535 | 109 | 80 | 41.605505 | 0.619179 | 0.040353 | 0 | 0.782609 | 0 | 0 | 0.752302 | 0.268416 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.01087 | false | 0 | 0.054348 | 0 | 0.065217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
6f2fae6902fb5a91ecd99969186df881893be71a | 9,030 | py | Python | tests/test_handler.py | pitrho/rancher-gen | 5f228632e04d423cfc166ffa0fc3a43705ec1000 | [
"MIT"
] | 32 | 2016-09-09T19:51:15.000Z | 2018-09-01T08:30:15.000Z | tests/test_handler.py | pitrho/rancher-gen | 5f228632e04d423cfc166ffa0fc3a43705ec1000 | [
"MIT"
] | 5 | 2016-10-07T14:12:07.000Z | 2017-11-28T14:52:58.000Z | tests/test_handler.py | pitrho/rancher-gen | 5f228632e04d423cfc166ffa0fc3a43705ec1000 | [
"MIT"
] | 6 | 2016-09-28T18:29:17.000Z | 2017-11-09T13:06:57.000Z | import base64
import json
import os
import time
from mock import patch
from threading import Thread
from rancher_gen.handler import RancherConnector, MessageHandler
from rancher_gen.compat import b64encode
class TestRancherConnector:
@classmethod
def setup_class(cls):
template = os.path.join(os.path.dirname(__file__), 'fixtures',
'template.j2')
cls.out_file = '/tmp/out.txt'
cls.config = {
'host': os.getenv('RANCHER_HOST'),
'port': int(os.getenv('RANCHER_PORT', 80)),
'project_id': None,
'access_key': os.getenv('RANCHER_ACCESS_KEY'),
'secret_key': os.getenv('RANCHER_SECRET_KEY'),
'templates': ['{0}:{1}'.format(template, cls.out_file)],
'ssl': False,
'stack': 'teststack',
'services': ['hello1', 'hello2'],
'notify': None
}
@classmethod
def teardown_class(cls):
if os.path.exists(cls.out_file):
os.remove(cls.out_file)
def test_prerenders_template(self, stack_service):
stack, service = stack_service
self.config['project_id'] = stack['accountId']
# Test with filtering by stack and service
handler = RancherConnector(**self.config)
handler._prerender()
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
assert '10.42.232.34' in output
# Test with filtering by stack only
config = self.config.copy()
config['project_id'] = stack['accountId']
config['services'] = None
handler = RancherConnector(**config)
handler._prerender()
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
assert '10.42.232.34' in output
# Test without filtering
config = self.config.copy()
config['project_id'] = stack['accountId']
config['stack'] = None
config['services'] = None
handler = RancherConnector(**config)
handler._prerender()
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
def test_on_message_ignores_bad_messages(self):
handler = RancherConnector(**self.config)
mock_msg = {
'name': 'bad',
'data': []
}
# Test with bad name
with patch.object(MessageHandler, 'run') as mock:
handler._on_message(None, json.dumps(mock_msg))
assert not mock.called
# Test with missing data
mock_msg['name'] = 'resource.change'
with patch.object(MessageHandler, 'run') as mock:
handler._on_message(None, json.dumps(mock_msg))
assert not mock.called
def test_on_message_calls_handler(self):
handler = RancherConnector(**self.config)
mock_msg = {
'name': 'resource.change',
'data': [1, 2, 3]
}
with patch.object(MessageHandler, 'run') as mock:
handler._on_message(None, json.dumps(mock_msg))
assert mock.called
class TestMessageHandler:
def setup_method(self, method):
self.out_file = '/tmp/out.txt'
def teardown_method(self, method):
if os.path.exists(self.out_file):
os.remove(self.out_file)
def test_renders_template(self, stack_service, mock_message):
stack, services = stack_service
access_key = os.getenv('RANCHER_ACCESS_KEY')
secret_key = os.getenv('RANCHER_SECRET_KEY')
api_token = b64encode("{0}:{1}".format(access_key, secret_key))
template = os.path.join(os.path.dirname(__file__), 'fixtures',
'template.j2')
config = {
'message': mock_message,
'host': os.getenv('RANCHER_HOST'),
'port': int(os.getenv('RANCHER_PORT', 80)),
'project_id': stack['accountId'],
'api_token': api_token,
'templates': ['{0}:{1}'.format(template, self.out_file)],
'ssl': False,
'stack': 'teststack',
'services': ['hello1', 'hello2'],
'notify': None
}
# Test with stack and service filter
handler = MessageHandler(**config)
handler.run()
while not os.path.exists(self.out_file):
time.sleep(1)
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
assert '10.42.232.34' in output
# Test with stack only filter
config['project_id'] = stack['accountId']
config['services'] = None
handler = MessageHandler(**config)
handler.run()
while not os.path.exists(self.out_file):
time.sleep(1)
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
assert '10.42.232.34' in output
# Test without filter
config['stack'] = None
handler = MessageHandler(**config)
handler.run()
while not os.path.exists(self.out_file):
time.sleep(1)
with open(self.out_file) as fh:
output = fh.read().replace('\n', '').strip()
assert '10.42.232.33' in output
def test_does_not_render_with_missing_labels_in_message(
self, stack_service, mock_message):
stack, service = stack_service
mock_message['data']['resource']['labels'] = None
access_key = os.getenv('RANCHER_ACCESS_KEY')
secret_key = os.getenv('RANCHER_SECRET_KEY')
api_token = b64encode("{0}:{1}".format(access_key, secret_key))
template = os.path.join(os.path.dirname(__file__), 'fixtures',
'template.j2')
config = {
'message': mock_message,
'host': os.getenv('RANCHER_HOST'),
'port': int(os.getenv('RANCHER_PORT', 80)),
'project_id': stack['accountId'],
'api_token': api_token,
'templates': ['{0}:{1}'.format(template, self.out_file)],
'ssl': False,
'stack': 'teststack',
'services': ['badservice'],
'notify': None
}
handler = MessageHandler(**config)
handler.run()
time.sleep(1)
assert not os.path.exists(self.out_file)
def test_does_not_render_with_missing_stack_name_in_message(
self, stack_service, mock_message):
stack, service = stack_service
del mock_message['data']['resource']['labels']['io.rancher.stack.name']
access_key = os.getenv('RANCHER_ACCESS_KEY')
secret_key = os.getenv('RANCHER_SECRET_KEY')
api_token = b64encode("{0}:{1}".format(access_key, secret_key))
template = os.path.join(os.path.dirname(__file__), 'fixtures',
'template.j2')
config = {
'message': mock_message,
'host': os.getenv('RANCHER_HOST'),
'port': int(os.getenv('RANCHER_PORT', 80)),
'project_id': stack['accountId'],
'api_token': api_token,
'templates': ['{0}:{1}'.format(template, self.out_file)],
'ssl': False,
'stack': 'teststack',
'services': ['badservice'],
'notify': None
}
handler = MessageHandler(**config)
handler.run()
time.sleep(1)
assert not os.path.exists(self.out_file)
def test_does_not_render_with_invalid_filter(
self, stack_service, mock_message):
stack, service = stack_service
access_key = os.getenv('RANCHER_ACCESS_KEY')
secret_key = os.getenv('RANCHER_SECRET_KEY')
api_token = b64encode("{0}:{1}".format(access_key, secret_key))
template = os.path.join(os.path.dirname(__file__), 'fixtures',
'template.j2')
config = {
'message': mock_message,
'host': os.getenv('RANCHER_HOST'),
'port': int(os.getenv('RANCHER_PORT', 80)),
'project_id': stack['accountId'],
'api_token': api_token,
'templates': ['{0}:{1}'.format(template, self.out_file)],
'ssl': False,
'ssl': False,
'stack': 'teststack',
'services': ['badservice'],
'notify': None
}
# Test with bad service name
handler1 = MessageHandler(**config)
handler1.start()
time.sleep(1)
assert not os.path.exists(self.out_file)
# test with back stack name
config['stack'] = 'bad'
config['services'] = None
handler2 = MessageHandler(**config)
handler2.start()
time.sleep(1)
assert not os.path.exists(self.out_file)
| 33.69403 | 79 | 0.564452 | 1,019 | 9,030 | 4.815505 | 0.124632 | 0.034237 | 0.061137 | 0.036682 | 0.811698 | 0.762584 | 0.751376 | 0.745058 | 0.715305 | 0.698594 | 0 | 0.024209 | 0.300111 | 9,030 | 267 | 80 | 33.820225 | 0.752215 | 0.030454 | 0 | 0.744076 | 0 | 0 | 0.151647 | 0.002402 | 0 | 0 | 0 | 0 | 0.080569 | 1 | 0.052133 | false | 0 | 0.037915 | 0 | 0.099526 | 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 |
489d5d11e89a26e665e79bcd9d76d2af1c9eeef4 | 6,862 | py | Python | contrib/NumSciPy/Filters.py | celiafish/VisTrails | d8cb575b8b121941de190fe608003ad1427ef9f6 | [
"BSD-3-Clause"
] | 83 | 2015-01-05T14:50:50.000Z | 2021-09-17T19:45:26.000Z | contrib/NumSciPy/Filters.py | celiafish/VisTrails | d8cb575b8b121941de190fe608003ad1427ef9f6 | [
"BSD-3-Clause"
] | 254 | 2015-01-02T20:39:19.000Z | 2018-11-28T17:16:44.000Z | contrib/NumSciPy/Filters.py | celiafish/VisTrails | d8cb575b8b121941de190fe608003ad1427ef9f6 | [
"BSD-3-Clause"
] | 40 | 2015-04-17T16:46:36.000Z | 2021-09-28T22:43:24.000Z | import core.modules
import core.modules.module_registry
from core.modules.vistrails_module import Module, ModuleError
from Array import *
import scipy
import scipy.signal
from scipy import sparse, fftpack
import numpy
class WindowModule(object):
my_namespace = 'scipy|signals|windows'
class HanningWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.hanning(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class TriangularWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.triang(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BlackmanWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.blackman(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BlackmanHarrisWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.blackmanharris(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class ParzenWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.parzen(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class HammingWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.hamming(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class KaiserWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
beta = self.get_input("Beta")
out = NDArray()
out.set_array(scipy.signal.kaiser(size, beta))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_input_port(cls, "Beta", (basic.Float, 'Beta'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BartlettHannWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.barthann(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class GaussianWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
sigma = self.get_input("Sigma")
out = NDArray()
out.set_array(scipy.signal.gaussian(size, sigma))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_input_port(cls, "Sigma", (basic.Float, 'Sigma'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BoxcarWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.boxcar(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BohmanWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.bohman(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class BartlettWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.bartlett(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
class NuttallBlackmanHarrisWindow(WindowModule, Module):
def compute(self):
size = self.get_input("Window Size")
out = NDArray()
out.set_array(scipy.signal.nuttall(size))
self.set_output("Window", out)
@classmethod
def register(cls, reg, basic):
reg.add_module(cls, namespace=cls.my_namespace)
reg.add_input_port(cls, "Window Size", (basic.Integer, 'Window Size'))
reg.add_output_port(cls, "Window", (NDArray, 'Window Function'))
| 36.892473 | 78 | 0.659429 | 862 | 6,862 | 5.103248 | 0.081207 | 0.055922 | 0.076836 | 0.051148 | 0.856331 | 0.856331 | 0.856331 | 0.841782 | 0.841782 | 0.841782 | 0 | 0 | 0.207228 | 6,862 | 185 | 79 | 37.091892 | 0.80864 | 0 | 0 | 0.745223 | 0 | 0 | 0.120682 | 0.003061 | 0 | 0 | 0 | 0 | 0 | 1 | 0.165605 | false | 0 | 0.050955 | 0 | 0.312102 | 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 |
d2e718cf4929e8377e05f761f6290eccf1505159 | 6,574 | py | Python | tests/tensortrade/unit/oms/orders/test_order_spec.py | zeeshanalipanhwar/tensortrade | 7c294293cb65d0e31cae47402145dffe2e7bc75f | [
"Apache-2.0"
] | 3,081 | 2020-01-12T13:42:13.000Z | 2022-03-27T18:09:31.000Z | tests/tensortrade/unit/oms/orders/test_order_spec.py | zeeshanalipanhwar/tensortrade | 7c294293cb65d0e31cae47402145dffe2e7bc75f | [
"Apache-2.0"
] | 257 | 2020-01-15T03:14:29.000Z | 2022-03-31T04:19:14.000Z | tests/tensortrade/unit/oms/orders/test_order_spec.py | zeeshanalipanhwar/tensortrade | 7c294293cb65d0e31cae47402145dffe2e7bc75f | [
"Apache-2.0"
] | 804 | 2020-01-12T12:22:22.000Z | 2022-03-28T13:41:59.000Z |
import re
import unittest.mock as mock
from decimal import Decimal
from tensortrade.oms.orders import OrderSpec, TradeSide, TradeType
from tensortrade.oms.exchanges import ExchangeOptions
from tensortrade.oms.instruments import USD, BTC, ExchangePair
from tensortrade.oms.wallets import Portfolio, Wallet
@mock.patch("tensortrade.exchanges.Exchange")
def test_init(mock_exchange_class):
exchange = mock_exchange_class.return_value
exchange.options = ExchangeOptions()
exchange.id = "fake_exchange_id"
exchange.name = "bitfinex"
exchange.clock = mock.Mock()
exchange.clock.step = 0
side = TradeSide.BUY
trade_type = TradeType.MARKET
# Create order specification without criteria
order_spec = OrderSpec(
side=side,
trade_type=trade_type,
exchange_pair=ExchangePair(exchange, USD / BTC)
)
assert order_spec.id
assert order_spec.side == side
assert order_spec.type == trade_type
assert order_spec.exchange_pair == ExchangePair(exchange, USD / BTC)
assert not order_spec.criteria
# Create order specification with criteria
order_spec = OrderSpec(
side=side,
trade_type=trade_type,
exchange_pair=ExchangePair(exchange, USD / BTC),
criteria=lambda order, exchange: True
)
assert order_spec.id
assert order_spec.side == side
assert order_spec.type == trade_type
assert order_spec.exchange_pair == ExchangePair(exchange, USD / BTC)
assert order_spec.criteria
@mock.patch("tensortrade.exchanges.Exchange")
@mock.patch("tensortrade.orders.Order")
def test_create_from_buy_order(mock_order_class,
mock_exchange_class):
exchange = mock_exchange_class.return_value
exchange.options = ExchangeOptions()
exchange.id = "fake_exchange_id"
exchange.name = "bitfinex"
exchange.clock = mock.Mock()
exchange.clock.step = 0
exchange.quote_price = mock.Mock(return_value=Decimal(7000.00))
wallets = [Wallet(exchange, 10000 * USD), Wallet(exchange, 2 * BTC)]
portfolio = Portfolio(USD, wallets)
order = mock_order_class.return_value
order.portfolio = portfolio
order.exchange_pair = ExchangePair(exchange, USD / BTC)
order.path_id = "fake_path_id"
order.price = Decimal(7000.00)
wallet_btc = portfolio.get_wallet(exchange.id, BTC)
wallet_btc.lock(
quantity=0.4 * BTC,
order=order,
reason="test"
)
assert float(wallet_btc.balance.size) == 1.6
assert float(wallet_btc.locked[order.path_id].size) == 0.4
order_spec = OrderSpec(
side=TradeSide.SELL,
trade_type=TradeType.MARKET,
exchange_pair=ExchangePair(exchange, USD / BTC)
)
next_order = order_spec.create_order(order)
assert next_order
assert next_order.side == TradeSide.SELL
assert next_order.type == TradeType.MARKET
assert next_order.exchange_pair == ExchangePair(exchange, USD / BTC)
assert next_order.path_id == order.path_id
assert next_order.quantity.path_id == order.path_id
assert next_order.quantity.instrument == BTC
@mock.patch("tensortrade.exchanges.Exchange")
@mock.patch("tensortrade.orders.Order")
def test_create_from_sell_order(mock_order_class,
mock_exchange_class):
exchange = mock_exchange_class.return_value
exchange.options = ExchangeOptions()
exchange.id = "fake_exchange_id"
exchange.name = "bitfinex"
exchange.clock = mock.Mock()
exchange.clock.step = 0
exchange.quote_price = mock.Mock(return_value=Decimal(7000.00))
wallets = [Wallet(exchange, 10000 * USD), Wallet(exchange, 2 * BTC)]
portfolio = Portfolio(USD, wallets)
order = mock_order_class.return_value
order.portfolio = portfolio
order.exchange_pair = ExchangePair(exchange, USD / BTC)
order.path_id = "fake_path_id"
order.price = 7000.00
wallet_usd = portfolio.get_wallet(exchange.id, USD)
wallet_usd.lock(
quantity=1000 * USD,
order=order,
reason="test"
)
assert float(wallet_usd.balance.size) == 9000
assert float(wallet_usd.locked[order.path_id].size) == 1000
order_spec = OrderSpec(
side=TradeSide.BUY,
trade_type=TradeType.MARKET,
exchange_pair=ExchangePair(exchange, USD / BTC)
)
next_order = order_spec.create_order(order)
assert next_order
assert next_order.side == TradeSide.BUY
assert next_order.type == TradeType.MARKET
assert next_order.exchange_pair == ExchangePair(exchange, USD / BTC)
assert next_order.path_id == order.path_id
assert next_order.quantity.path_id == order.path_id
assert next_order.quantity.instrument == USD
@mock.patch("tensortrade.exchanges.Exchange")
def test_to_dict(mock_exchange_class):
exchange = mock_exchange_class.return_value
exchange.options = ExchangeOptions()
exchange.id = "fake_exchange_id"
exchange.name = "bitfinex"
exchange.clock = mock.Mock()
exchange.clock.step = 0
exchange.quote_price = mock.Mock(return_value=Decimal(7000.00))
order_spec = OrderSpec(
side=TradeSide.BUY,
trade_type=TradeType.MARKET,
exchange_pair=ExchangePair(exchange, USD / BTC)
)
d = order_spec.to_dict()
assert d == {
"id": order_spec.id,
"type": order_spec.type,
"exchange_pair": order_spec.exchange_pair,
"criteria": order_spec.criteria
}
order_spec = OrderSpec(
side=TradeSide.BUY,
trade_type=TradeType.MARKET,
exchange_pair=ExchangePair(exchange, USD / BTC),
criteria=lambda order, exchange: True
)
d = order_spec.to_dict()
assert d == {
"id": order_spec.id,
"type": order_spec.type,
"exchange_pair": order_spec.exchange_pair,
"criteria": order_spec.criteria
}
@mock.patch("tensortrade.exchanges.Exchange")
def test_str(mock_exchange_class):
exchange = mock_exchange_class.return_value
exchange.options = ExchangeOptions()
exchange.id = "fake_exchange_id"
exchange.name = "bitfinex"
exchange.clock = mock.Mock()
exchange.clock.step = 0
exchange.quote_price = mock.Mock(return_value=Decimal(7000.00))
order_spec = OrderSpec(
side=TradeSide.BUY,
trade_type=TradeType.MARKET,
exchange_pair=ExchangePair(exchange, USD / BTC)
)
pattern = re.compile("<[A-Z][a-zA-Z]*:\\s(\\w+=.*,\\s)*(\\w+=.*)>")
string = str(order_spec)
assert string
assert string == pattern.fullmatch(string).string
| 30.719626 | 72 | 0.692881 | 811 | 6,574 | 5.406905 | 0.112207 | 0.061574 | 0.047891 | 0.094869 | 0.851995 | 0.822577 | 0.822577 | 0.774914 | 0.764652 | 0.7626 | 0 | 0.013583 | 0.204898 | 6,574 | 213 | 73 | 30.86385 | 0.82533 | 0.012778 | 0 | 0.714286 | 0 | 0 | 0.068918 | 0.037157 | 0 | 0 | 0 | 0 | 0.190476 | 1 | 0.029762 | false | 0 | 0.041667 | 0 | 0.071429 | 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 |
960293a17e71c88120a06da9fda32e58435f463f | 9,502 | py | Python | fontes/plot_P.py | fluidgeo/fluidgeo-simulator | adf261abf19852a39b1cbb453c1b1a11ff4251b2 | [
"Apache-2.0"
] | 7 | 2015-09-15T14:35:25.000Z | 2020-05-19T13:31:22.000Z | fontes/plot_P.py | fluidgeo/fluidgeo-simulator | adf261abf19852a39b1cbb453c1b1a11ff4251b2 | [
"Apache-2.0"
] | 5 | 2015-09-11T21:37:34.000Z | 2015-11-29T04:29:37.000Z | fontes/plot_P.py | fluidgeo/fluidgeo-simulator | adf261abf19852a39b1cbb453c1b1a11ff4251b2 | [
"Apache-2.0"
] | 4 | 2018-07-13T14:12:03.000Z | 2021-01-25T02:37:07.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
from matplotlib import cm
#plt.rcParams['legend.loc'] = 'best'
#plt.rc('text', usetex=True)
#plt.rc('font', family='serif')
ano = 30.*12.*86400.
mes = 30.*86400.
# Perfil de pressão
inDataLegendP = np.loadtxt('./testeDS/passosPressaoBlocoMacro.dat',unpack=True)
dataLegendP = inDataLegendP[1:]
pnum = len(dataLegendP)
Px0 = np.zeros(pnum)
#pData = np.loadtxt('./expTeste/fort.1111',unpack=True)
#Pr = pData[0]
#Pw = pData[1]
#PI = pData[2]
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
for i in range(1,pnum+1):
#i_mask = 10*i
inDataNameP = './testeDS/solP.%d' % i
xx, yy, P = np.loadtxt(inDataNameP,unpack=True,usecols=[2,3,4])
print xx
print yy
print P
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
if dataLegendP[i-1] == 1.:
leg = (u"%d mês" % dataLegendP[i-1])
else:
leg = ("%d meses" % dataLegendP[i-1])
Px0[i-1] = P[0]
#ax.plot(xx,yy,P,'o',label=leg)
ax.plot(xx,P,'-o',label=leg)
#surf = ax.plot_surface(xx, yy, P, rstride=1, cstride=1, cmap=cm.coolwarm,
#linewidth=0, antialiased=True)
#surf = ax.plot_surface(xx, yy, P)
#plt.show()
#plt.pcolor(xx,yy,P)
#ax.contour(xx, yy, P)
#plt.savefig('./teste/tmpPressao%d.pdf' % i_mask)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
ax.set_xlabel(r'$x^{*}$',fontsize=18)
#ax.set_ylabel('$y^{*}$',fontsize=18)
ax.set_ylabel(r'$p^{*}$',fontsize=18)
#plt.xlabel('$x^{*}$',fontsize=18)
#plt.ylabel('$p^{*}$',fontsize=18,rotation='horizontal')
#plt.grid(b=True, which='major', color='k', linestyle='--')
#ax.legend()
plt.savefig('./testeDS/tmpPressao.pdf')
plt.show()
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
for i in range(1,pnum+1):
#i_mask = 11*i
inDataNameGradP = './testeDS/gradPx.%d' % i
xx, yy, gradP = np.loadtxt(inDataNameGradP,unpack=True,usecols=[2,3,4])
print xx
print yy
print gradP
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
if dataLegendP[i-1] == 1.:
leg = (u"%d mês" % dataLegendP[i-1])
else:
leg = ("%d meses" % dataLegendP[i-1])
Px0[i-1] = P[0]
#ax.plot(xx,yy,gradP,'o',label=leg)
ax.plot(xx,gradP,'-o',label=leg)
#surf = ax.plot_surface(xx, yy, P, rstride=1, cstride=1, cmap=cm.coolwarm,
#linewidth=0, antialiased=True)
#surf = ax.plot_surface(xx, yy, P)
#plt.show()
#plt.pcolor(xx,yy,P)
#ax.contour(xx, yy, P)
#plt.savefig('./teste/tmpPressao%d.pdf' % i_mask)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
ax.set_xlabel(r'$x^{*}$',fontsize=18)
#ax.set_ylabel('$y^{*}$',fontsize=18)
ax.set_ylabel(r"$\nabla^* p^{*}$",fontsize=18)
#plt.xlabel('$x^{*}$',fontsize=18)
#plt.ylabel('$p^{*}$',fontsize=18,rotation='horizontal')
#plt.grid(b=True, which='major', color='k', linestyle='--')
#ax.legend()
plt.savefig('./testeDS/tmpgradPressao.pdf')
plt.show()
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
for i in range(1,pnum+1):
#i_mask = 14*i
inDataNameV = './testeDS/solVelocity_x.%d' % i
xx, yy, V = np.loadtxt(inDataNameV,unpack=True,usecols=[2,3,4])
print xx
print yy
print V
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
if dataLegendP[i-1] == 1.:
leg = (u"%d mês" % dataLegendP[i-1])
else:
leg = ("%d meses" % dataLegendP[i-1])
Px0[i-1] = P[0]
#ax.plot(xx,yy,V,'o',label=leg)
ax.plot(xx,V,'-o',label=leg)
#surf = ax.plot_surface(xx, yy, P, rstride=1, cstride=1, cmap=cm.coolwarm,
#linewidth=0, antialiased=True)
#surf = ax.plot_surface(xx, yy, P)
#plt.show()
#plt.pcolor(xx,yy,P)
#ax.contour(xx, yy, P)
#plt.savefig('./teste/tmpPressao%d.pdf' % i_mask)
box = ax.get_position()
ax.set_position([0.3*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
ax.set_xlabel(r'$x^{*}$',fontsize=18)
#ax.set_ylabel('$y^{*}$',fontsize=18)
ax.set_ylabel(r"$u_D\,(m/s)$",fontsize=18)
#plt.xlabel('$x^{*}$',fontsize=18)
#plt.ylabel('$p^{*}$',fontsize=18,rotation='horizontal')
#plt.grid(b=True, which='major', color='k', linestyle='--')
#ax.legend()
plt.savefig('./testeDS/tmpV.pdf')
plt.show()
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
for i in range(1,pnum+1):
#i_mask = 19*i
inDataNameJ = './testeDS/nodeFlux_x.%d' % i
xx, yy, J = np.loadtxt(inDataNameJ,unpack=True,usecols=[2,3,4])
print xx
print yy
print J
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
if dataLegendP[i-1] == 1.:
leg = (u"%d mês" % dataLegendP[i-1])
else:
leg = ("%d meses" % dataLegendP[i-1])
Px0[i-1] = P[0]
#ax.plot(xx,yy,J,'.',label=leg)
#ax.plot(xx,yy,J,'o',label=leg)
ax.plot(xx,J,'-o',label=leg)
#surf = ax.plot_surface(xx, yy, P, rstride=1, cstride=1, cmap=cm.coolwarm,
#linewidth=0, antialiased=True)
#surf = ax.plot_surface(xx, yy, P)
#plt.show()
#plt.pcolor(xx,yy,P)
#ax.contour(xx, yy, P)
#plt.savefig('./teste/tmpPressao%d.pdf' % i_mask)
box = ax.get_position()
ax.set_position([0.2*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
ax.set_xlabel('$x^{*}$',fontsize=18)
#ax.set_ylabel(r'$y^{*}$',fontsize=18)
ax.set_ylabel(r'$J \,\left(\frac{kg}{m^2 s}\right)$',fontsize=18)
#plt.xlabel('$x^{*}$',fontsize=18)
#plt.ylabel('$p^{*}$',fontsize=18,rotation='horizontal')
#plt.grid(b=True, which='major', color='k', linestyle='--')
#ax.legend()
plt.savefig('./testeDS/tmpJ.pdf')
plt.show()
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
for i in range(1,pnum+1):
#i_mask = 23*i
inDataNameResid = './testeDS/residueFlux_x.%d' % i
xx, yy, Resid = np.loadtxt(inDataNameResid,unpack=True,usecols=[2,3,4])
print xx
print yy
print Resid
#fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
if dataLegendP[i-1] == 1.:
leg = (u"%d mês" % dataLegendP[i-1])
else:
leg = ("%d meses" % dataLegendP[i-1])
Px0[i-1] = P[0]
#ax.plot(xx,yy,J,'.',label=leg)
#ax.plot(xx,yy,J,'o',label=leg)
ax.plot(xx,Resid,'-o',label=leg)
#surf = ax.plot_surface(xx, yy, P, rstride=1, cstride=1, cmap=cm.coolwarm,
#linewidth=0, antialiased=True)
#surf = ax.plot_surface(xx, yy, P)
#plt.show()
#plt.pcolor(xx,yy,P)
#ax.contour(xx, yy, P)
#plt.savefig('./teste/tmpPressao%d.pdf' % i_mask)
box = ax.get_position()
ax.set_position([0.2*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
ax.set_xlabel('$x^{*}$',fontsize=18)
#ax.set_ylabel(r'$y^{*}$',fontsize=18)
ax.set_ylabel(u'Resíduo',fontsize=18)
#plt.xlabel('$x^{*}$',fontsize=18)
#plt.ylabel('$p^{*}$',fontsize=18,rotation='horizontal')
#plt.grid(b=True, which='major', color='k', linestyle='--')
#ax.legend()
plt.savefig('./testeDS/tmpResid.pdf')
plt.show()
# Produção do bloco
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
inDataNameJprod = './testeDS/echoProducao.dat'
dt, Jprod = np.loadtxt(inDataNameJprod,unpack=True,usecols=[1,5])
dt = dt/mes
ax.set_xlabel(r'$t\,(meses)$',fontsize=18)
ax.set_ylabel(r'$Produ \c c \~ a o\, \left(kg\right)$',fontsize=16)
ax.plot(dt,Jprod,'-o',label=u'Produção')
box = ax.get_position()
ax.set_position([0.1*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
plt.savefig('./testeDS/Prod.pdf')
plt.show()
# RF barra
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
inDataNameRF_ = './testeDS/echoProducao.dat'
dt, RF_ = np.loadtxt(inDataNameRF_,unpack=True,usecols=[1,6])
dt = dt/mes
ax.set_xlabel(r'$t\,(meses)$',fontsize=18)
ax.set_ylabel(r'$RF_{recuper\'avel}$',fontsize=16)
ax.plot(dt,RF_,'-o',label=u'RF')
box = ax.get_position()
ax.set_position([0.1*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
plt.savefig('./testeDS/RF_.pdf')
plt.show()
# RF
fig = plt.figure()
#ax = fig.gca(projection='3d')
#ax = fig.add_subplot(111, projection='3d')
ax = plt.subplot(111)
inDataNameRF = './testeDS/echoProducao.dat'
dt, RF = np.loadtxt(inDataNameRF,unpack=True,usecols=[1,7])
dt = dt/mes
ax.set_xlabel(r'$t\,(meses)$',fontsize=18)
ax.set_ylabel(r'$RF_{total}$',fontsize=16)
ax.plot(dt,RF,'-o',label=u'RF')
box = ax.get_position()
ax.set_position([0.1*box.x0+box.x0, box.y0, box.width * 0.8, box.height])
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
plt.savefig('./testeDS/RF.pdf')
plt.show() | 30.06962 | 79 | 0.62871 | 1,585 | 9,502 | 3.707256 | 0.11735 | 0.021784 | 0.01872 | 0.030973 | 0.830667 | 0.82403 | 0.815351 | 0.81518 | 0.81518 | 0.81518 | 0 | 0.042409 | 0.143864 | 9,502 | 316 | 80 | 30.06962 | 0.679902 | 0.389392 | 0 | 0.636364 | 0 | 0.012987 | 0.137682 | 0.050114 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.006494 | 0.025974 | null | null | 0.097403 | 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 |
8249c1549ae1e1c8b5732cf2d1cf1afad7c5d776 | 33,081 | py | Python | venv/lib/python3.8/site-packages/azureml/_restclient/operations/machine_learning_compute_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_restclient/operations/machine_learning_compute_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_restclient/operations/machine_learning_compute_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator 2.3.33.0
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.pipeline import ClientRawResponse
from .. import models
class MachineLearningComputeOperations(object):
"""MachineLearningComputeOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
:ivar api_version: Version of Azure Machine Learning resource provider API. Constant value: "2020-06-01".
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.config = config
self.api_version = "2020-06-01"
def list_by_workspace(
self, subscription_id, resource_group_name, workspace_name, skiptoken=None, custom_headers=None, raw=False, **operation_config):
"""Gets computes in specified workspace.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param skiptoken: Continuation token for pagination.
:type skiptoken: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: PaginatedComputeResourcesList or ClientRawResponse if
raw=true
:rtype: ~_restclient.models.PaginatedComputeResourcesList or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.list_by_workspace.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
if skiptoken is not None:
query_parameters['$skiptoken'] = self._serialize.query("skiptoken", skiptoken, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('PaginatedComputeResourcesList', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
list_by_workspace.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes'}
def get(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Gets compute definition by its name. Any secrets (storage keys, service
credentials, etc) are not returned - use 'keys' nested resource to get
them.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: ComputeResource or ClientRawResponse if raw=true
:rtype: ~_restclient.models.ComputeResource or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.get.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('ComputeResource', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}'}
def create_or_update(
self, subscription_id, resource_group_name, workspace_name, compute_name, parameters, custom_headers=None, raw=False, **operation_config):
"""Creates or updates compute. This call will overwrite a compute if it
exists. This is a nonrecoverable operation. If your intent is to create
a new compute, do a GET first to verify that it does not exist yet.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param parameters: Payload with Machine Learning compute definition.
:type parameters: ~_restclient.models.ComputeResource
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: ComputeResource or ClientRawResponse if raw=true
:rtype: ~_restclient.models.ComputeResource or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.create_or_update.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
body_content = self._serialize.body(parameters, 'ComputeResource')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, stream=False, **operation_config)
if response.status_code not in [200, 201]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
header_dict = {}
if response.status_code == 200:
deserialized = self._deserialize('ComputeResource', response)
header_dict = {
'Azure-AsyncOperation': 'str',
}
if response.status_code == 201:
deserialized = self._deserialize('ComputeResource', response)
header_dict = {
'Azure-AsyncOperation': 'str',
}
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
client_raw_response.add_headers(header_dict)
return client_raw_response
return deserialized
create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}'}
def update(
self, subscription_id, resource_group_name, workspace_name, compute_name, parameters, custom_headers=None, raw=False, **operation_config):
"""Updates properties of a compute. This call will overwrite a compute if
it exists. This is a nonrecoverable operation.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param parameters: Additional parameters for cluster update.
:type parameters: ~_restclient.models.ClusterUpdateParameters
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: ComputeResource or ClientRawResponse if raw=true
:rtype: ~_restclient.models.ComputeResource or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.update.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
body_content = self._serialize.body(parameters, 'ClusterUpdateParameters')
# Construct and send request
request = self._client.patch(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('ComputeResource', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}'}
def delete(
self, subscription_id, resource_group_name, workspace_name, compute_name, underlying_resource_action, custom_headers=None, raw=False, **operation_config):
"""Deletes specified Machine Learning compute.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param underlying_resource_action: Delete the underlying compute if
'Delete', or detach the underlying compute from workspace if 'Detach'.
Possible values include: 'Delete', 'Detach'
:type underlying_resource_action: str or
~_restclient.models.UnderlyingResourceAction
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.delete.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
query_parameters['underlyingResourceAction'] = self._serialize.query("underlying_resource_action", underlying_resource_action, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200, 202]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'Azure-AsyncOperation': 'str',
'Location': 'str',
})
return client_raw_response
delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}'}
def list_nodes(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Get the details (e.g IP address, port etc) of all the compute nodes in
the compute.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: AmlComputeNodesInformation or ClientRawResponse if raw=true
:rtype: ~_restclient.models.AmlComputeNodesInformation or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.list_nodes.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('AmlComputeNodesInformation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
list_nodes.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/listNodes'}
def list_keys(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Gets secrets related to Machine Learning compute (storage keys, service
credentials, etc).
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: ComputeSecrets or ClientRawResponse if raw=true
:rtype: ~_restclient.models.ComputeSecrets or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.list_keys.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('ComputeSecrets', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
list_keys.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/listKeys'}
def start(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Posts a start action to a compute instance.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.start.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
start.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/start'}
def stop(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Posts a stop action to a compute instance.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.stop.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
stop.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/stop'}
def restart(
self, subscription_id, resource_group_name, workspace_name, compute_name, custom_headers=None, raw=False, **operation_config):
"""Posts a restart action to a compute instance.
:param subscription_id: The Azure Subscription ID.
:type subscription_id: str
:param resource_group_name: The Name of the resource group in which
the workspace is located.
:type resource_group_name: str
:param workspace_name: The name of the workspace.
:type workspace_name: str
:param compute_name:
:type compute_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`MachineLearningServiceErrorException<_restclient.models.MachineLearningServiceErrorException>`
"""
# Construct URL
url = self.restart.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
'computeName': self._serialize.url("compute_name", compute_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.MachineLearningServiceErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
restart.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/restart'}
| 48.936391 | 208 | 0.670657 | 3,319 | 33,081 | 6.478457 | 0.070202 | 0.039066 | 0.039531 | 0.012092 | 0.890289 | 0.885546 | 0.881127 | 0.875546 | 0.857781 | 0.857781 | 0 | 0.00354 | 0.239926 | 33,081 | 675 | 209 | 49.008889 | 0.851615 | 0.338956 | 0 | 0.748299 | 0 | 0.030612 | 0.206234 | 0.090557 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037415 | false | 0 | 0.006803 | 0 | 0.105442 | 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 |
82d064a6c3d9fa061a018171f8ecbde3d86beba1 | 161 | py | Python | by-session/class-921/week5/string_find_replace.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | 2 | 2015-04-29T20:59:35.000Z | 2018-09-26T13:33:43.000Z | by-session/class-921/week5/string_find_replace.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | by-session/class-921/week5/string_find_replace.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | a = "Hello World!"
print a.find("Wor")
print a[a.find("Wor"):]
print a[a.find("Word"):]
print a.replace("W", "salam")
print a
a = a.replace("W", 'salam')
print a | 20.125 | 29 | 0.614907 | 31 | 161 | 3.193548 | 0.322581 | 0.363636 | 0.212121 | 0.262626 | 0.737374 | 0.737374 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0.124224 | 161 | 8 | 30 | 20.125 | 0.702128 | 0 | 0 | 0.25 | 0 | 0 | 0.209877 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.75 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
7d642d7bce416ab0cf28ed58baedd15dd462f018 | 3,228 | py | Python | asq/test/test_relational.py | sixty-north/asq | 389f647a7b7a2c4f64af22820713d2c3658d5068 | [
"MIT"
] | 175 | 2016-01-09T20:07:00.000Z | 2022-01-03T17:10:01.000Z | asq/test/test_relational.py | sixty-north/asq | 389f647a7b7a2c4f64af22820713d2c3658d5068 | [
"MIT"
] | 13 | 2016-01-02T14:56:48.000Z | 2020-11-25T17:12:45.000Z | asq/test/test_relational.py | sixty-north/asq | 389f647a7b7a2c4f64af22820713d2c3658d5068 | [
"MIT"
] | 17 | 2016-01-02T14:57:00.000Z | 2020-11-03T14:18:09.000Z | import unittest
from asq.queryables import Queryable
from asq.test.test_queryable import infinite
__author__ = "Sixty North"
class TestEqualOperator(unittest.TestCase):
def test_eq_positive(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a) == b
self.assertTrue(c)
def test_eq_negative(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 5, 16, 32)
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_shorter_longer(self):
a = [1, 2, 3]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_longer_shorter(self):
a = [1, 2, 3, 4, 5, 6]
b = (1, 2, 3)
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_empty(self):
a = []
b = ()
c = Queryable(a) == b
self.assertTrue(c)
def test_eq_non_iterable(self):
a = [1, 2, 3]
b = None
self.assertRaises(TypeError, lambda: Queryable(a) == b)
def test_eq_order(self):
a = [1, 2]
b = (2, 1)
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_finite_infinite(self):
a = infinite()
b = (1, 2, 3, 5, 16, 32)
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_infinite_finite(self):
a = (1, 2, 3, 5, 16, 32)
b = infinite()
c = Queryable(a) == b
self.assertFalse(c)
def test_eq_closed(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a)
c.close()
self.assertRaises(ValueError, lambda: c == b)
class TestNotEqualOperator(unittest.TestCase):
def test_ne_negative(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a) != b
self.assertFalse(c)
def test_ne_positive(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 5, 16, 32)
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_shorter_longer(self):
a = [1, 2, 3]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_longer_shorter(self):
a = [1, 2, 3, 4, 5, 6]
b = (1, 2, 3)
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_empty(self):
a = []
b = ()
c = Queryable(a) != b
self.assertFalse(c)
def test_ne_non_iterable(self):
a = [1, 2, 3]
b = None
self.assertRaises(TypeError, lambda: Queryable(a) != b)
def test_ne_order(self):
a = [1, 2]
b = (2, 1)
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_finite_infinite(self):
a = infinite()
b = (1, 2, 3, 5, 16, 32)
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_infinite_finite(self):
a = (1, 2, 3, 5, 16, 32)
b = infinite()
c = Queryable(a) != b
self.assertTrue(c)
def test_ne_closed(self):
a = [1, 2, 3, 4, 16, 32]
b = (1, 2, 3, 4, 16, 32)
c = Queryable(a)
c.close()
self.assertRaises(ValueError, lambda: c != b)
| 24.641221 | 63 | 0.488228 | 475 | 3,228 | 3.202105 | 0.101053 | 0.036818 | 0.051282 | 0.073636 | 0.86785 | 0.86785 | 0.86785 | 0.86785 | 0.86785 | 0.853386 | 0 | 0.088608 | 0.363693 | 3,228 | 131 | 64 | 24.641221 | 0.651899 | 0 | 0 | 0.716981 | 0 | 0 | 0.003407 | 0 | 0 | 0 | 0 | 0 | 0.188679 | 1 | 0.188679 | false | 0 | 0.028302 | 0 | 0.235849 | 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 |
7d6d94e3977aa465b1368301f5727e8203d577cc | 27 | py | Python | text_generator/__init__.py | LokotamaTheMastermind/random-text-generator | 64a71a98afa9b3eebd0e741f06e83020dfe41dd8 | [
"MIT"
] | null | null | null | text_generator/__init__.py | LokotamaTheMastermind/random-text-generator | 64a71a98afa9b3eebd0e741f06e83020dfe41dd8 | [
"MIT"
] | 1 | 2020-09-27T12:56:55.000Z | 2020-09-27T12:56:55.000Z | text_generator/__init__.py | LokotamaTheMastermind/random-text-generator | 64a71a98afa9b3eebd0e741f06e83020dfe41dd8 | [
"MIT"
] | null | null | null | from .main import generate
| 13.5 | 26 | 0.814815 | 4 | 27 | 5.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 27 | 1 | 27 | 27 | 0.956522 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
816e46d68ab17559e18fb70a635b12938b5883d5 | 29,791 | py | Python | tests/functional/test_drivers.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | tests/functional/test_drivers.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | tests/functional/test_drivers.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | import time
import pytest
from scrapli.exceptions import ScrapliAuthenticationFailed
from .test_data.devices import DEVICES, INVALID_PRIVATE_KEY, PRIVATE_KEY
from .test_data.test_cases import TEST_CASES
class TestDevice:
def test_get_prompt(self, nix_conn, transport):
prompt = nix_conn.channel.get_prompt()
assert prompt == TEST_CASES["linux"]["get_prompt"]
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_short(self, nix_conn, transport, strip_prompt):
command = TEST_CASES["linux"]["send_command_short"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES["linux"]["send_command_short"][expected_type]
_, response = nix_conn.channel.send_input(channel_input=command, strip_prompt=strip_prompt)
assert response.decode() == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_long(self, nix_conn, transport, strip_prompt):
command = TEST_CASES["linux"]["send_command_long"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES["linux"]["send_command_long"][expected_type]
_, response = nix_conn.channel.send_input(channel_input=command, strip_prompt=strip_prompt)
assert response.decode() == expected_response
def test_isalive_and_close(self, nix_conn, transport):
assert nix_conn.isalive() is True
nix_conn.close()
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.1)
assert nix_conn.isalive() is False
class TestGenericDevice:
def test_get_prompt(self, nix_conn_generic, transport):
prompt = nix_conn_generic.channel.get_prompt()
assert prompt == TEST_CASES["linux"]["get_prompt"]
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_short(self, nix_conn_generic, transport, strip_prompt):
command = TEST_CASES["linux"]["send_command_short"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES["linux"]["send_command_short"][expected_type]
response = nix_conn_generic.send_command(command=command, strip_prompt=strip_prompt)
assert response.result == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_long(self, nix_conn_generic, transport, strip_prompt):
command = TEST_CASES["linux"]["send_command_long"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES["linux"]["send_command_long"][expected_type]
response = nix_conn_generic.send_command(command=command, strip_prompt=strip_prompt)
assert response.result == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_commands(self, nix_conn_generic, transport, strip_prompt):
commands = []
expected_responses = []
commands.append(TEST_CASES["linux"]["send_command_short"]["command"])
commands.append(TEST_CASES["linux"]["send_command_long"]["command"])
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses.append(TEST_CASES["linux"]["send_command_short"][expected_type])
expected_responses.append(TEST_CASES["linux"]["send_command_long"][expected_type])
responses = nix_conn_generic.send_commands(commands=commands, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert response.result == expected_response
def test_isalive_and_close(self, nix_conn_generic, transport):
assert nix_conn_generic.isalive() is True
nix_conn_generic.close()
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.1)
assert nix_conn_generic.isalive() is False
class TestNetworkDevice:
@pytest.mark.parametrize(
"priv_level",
["exec", "privilege_exec", "configuration"],
ids=["exec", "privilege_exec", "configuration"],
)
def test_get_prompt_and_acquire_priv(self, conn, priv_level, device_type, transport):
if TEST_CASES[device_type]["get_prompt"][priv_level] is None:
pytest.skip(f"Priv level {priv_level} for device type {device_type} not tested")
conn.acquire_priv(priv_level)
prompt = conn.get_prompt()
assert prompt == TEST_CASES[device_type]["get_prompt"][priv_level]
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_short(self, conn, device_type, transport, strip_prompt):
command = TEST_CASES[device_type]["send_command_short"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_command_short"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = conn.send_command(command=command, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_command_long(self, conn, device_type, transport, strip_prompt):
command = TEST_CASES[device_type]["send_command_long"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_command_long"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = conn.send_command(command=command, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_commands(self, conn, device_type, transport, strip_prompt):
commands = []
expected_responses = []
commands.append(TEST_CASES[device_type]["send_command_short"]["command"])
commands.append(TEST_CASES[device_type]["send_command_long"]["command"])
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses.append(TEST_CASES[device_type]["send_command_short"][expected_type])
expected_responses.append(TEST_CASES[device_type]["send_command_long"][expected_type])
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = conn.send_commands(commands=commands, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_commands_from_file(self, conn, device_type, transport, strip_prompt):
file = TEST_CASES[device_type]["send_commands_from_file"]["file"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_commands_from_file"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = conn.send_commands_from_file(file=file, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert sanitize_response(response.result) == expected_response
def test_send_commands_stop_on_failed(self, conn, device_type, transport):
commands = TEST_CASES[device_type]["send_commands_error"]["commands"]
responses = conn.send_commands(commands=commands, stop_on_failed=True)
assert len(responses) == 2
assert responses[0].failed is False
assert responses[1].failed is True
def test_send_interactive_normal_response(self, conn, device_type, transport):
if TEST_CASES[device_type]["send_interactive_normal_response"] is None:
pytest.skip(
f"send_interactive_normal_response for device type {device_type} not tested"
)
interact = TEST_CASES[device_type]["send_interactive_normal_response"]["command"]
expected_response = TEST_CASES[device_type]["send_interactive_normal_response"]["expected"]
response = conn.send_interactive(interact_events=interact)
assert response.result == expected_response
def test_send_interactive_hidden_response(self, conn, device_type, transport):
if TEST_CASES[device_type]["send_interactive_hidden_response"] is None:
pytest.skip(
f"send_interactive_hidden_response for device type {device_type} not tested"
)
interact = TEST_CASES[device_type]["send_interactive_hidden_response"]["command"]
expected_response = TEST_CASES[device_type]["send_interactive_hidden_response"]["expected"]
response = conn.send_interactive(interact_events=interact)
assert response.result == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_config(self, conn, device_type, transport, strip_prompt):
config = TEST_CASES[device_type]["send_config"]["configs"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_config"][expected_type]
verification = TEST_CASES[device_type]["send_config"]["verification"]
expected_verification = TEST_CASES[device_type]["send_config"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_config"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = conn.send_config(config=config, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
verification_response = conn.send_command(command=verification, strip_prompt=strip_prompt)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
conn.send_configs(configs=teardown_configs)
else:
conn.send_config(config=teardown_configs)
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_configs(self, conn, device_type, transport, strip_prompt):
configs = TEST_CASES[device_type]["send_configs"]["configs"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_configs"][expected_type]
verification = TEST_CASES[device_type]["send_configs"]["verification"]
expected_verification = TEST_CASES[device_type]["send_configs"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_configs"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = conn.send_configs(configs=configs, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert response.result == expected_response
verification_response = conn.send_command(command=verification, strip_prompt=strip_prompt)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
conn.send_configs(configs=teardown_configs)
else:
conn.send_config(config=teardown_configs)
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
def test_send_configs_from_file(self, conn, device_type, transport, strip_prompt):
file = TEST_CASES[device_type]["send_configs_from_file"]["file"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_configs"][expected_type]
verification = TEST_CASES[device_type]["send_configs"]["verification"]
expected_verification = TEST_CASES[device_type]["send_configs"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_configs"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = conn.send_configs_from_file(file=file, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert response.result == expected_response
verification_response = conn.send_command(command=verification, strip_prompt=strip_prompt)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
conn.send_configs(configs=teardown_configs)
else:
conn.send_config(config=teardown_configs)
def test_send_configs_stop_on_failed(self, conn, device_type, transport):
if TEST_CASES[device_type]["send_configs_error"] is None:
pytest.skip(
f"test_send_configs_stop_on_failed for device type {device_type} not tested yet, need to overhaul privilege levels..."
)
configs = TEST_CASES[device_type]["send_configs_error"]["configs"]
teardown_configs = TEST_CASES[device_type]["send_configs_error"]["teardown_configs"]
responses = conn.send_configs(configs=configs, stop_on_failed=True)
assert len(responses) == 2
assert responses[0].failed is False
assert responses[1].failed is True
if isinstance(teardown_configs, list):
conn.send_configs(configs=teardown_configs)
else:
conn.send_config(config=teardown_configs)
def test_isalive_and_close(self, conn, device_type, transport):
assert conn.isalive() is True
conn.close()
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.5)
assert conn.isalive() is False
@pytest.mark.asyncio
class TestAsyncNetworkDevice:
@pytest.mark.parametrize(
"priv_level",
["exec", "privilege_exec", "configuration"],
ids=["exec", "privilege_exec", "configuration"],
)
async def test_get_prompt_and_acquire_priv(self, async_conn, priv_level, device_type):
if TEST_CASES[device_type]["get_prompt"][priv_level] is None:
pytest.skip(f"Priv level {priv_level} for device type {device_type} not tested")
await async_conn.acquire_priv(priv_level)
prompt = await async_conn.get_prompt()
assert prompt == TEST_CASES[device_type]["get_prompt"][priv_level]
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_command_short(self, async_conn, device_type, strip_prompt):
command = TEST_CASES[device_type]["send_command_short"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_command_short"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = await async_conn.send_command(command=command, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_command_long(self, async_conn, device_type, strip_prompt):
command = TEST_CASES[device_type]["send_command_long"]["command"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_command_long"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = await async_conn.send_command(command=command, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_commands(self, async_conn, device_type, strip_prompt):
commands = []
expected_responses = []
commands.append(TEST_CASES[device_type]["send_command_short"]["command"])
commands.append(TEST_CASES[device_type]["send_command_long"]["command"])
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses.append(TEST_CASES[device_type]["send_command_short"][expected_type])
expected_responses.append(TEST_CASES[device_type]["send_command_long"][expected_type])
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = await async_conn.send_commands(commands=commands, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert sanitize_response(response.result) == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_commands_from_file(self, async_conn, device_type, strip_prompt):
file = TEST_CASES[device_type]["send_commands_from_file"]["file"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_commands_from_file"][expected_type]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = await async_conn.send_commands_from_file(file=file, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert sanitize_response(response.result) == expected_response
async def test_send_commands_stop_on_failed(self, async_conn, device_type):
commands = TEST_CASES[device_type]["send_commands_error"]["commands"]
responses = await async_conn.send_commands(commands=commands, stop_on_failed=True)
assert len(responses) == 2
assert responses[0].failed is False
assert responses[1].failed is True
async def test_send_interactive_normal_response(self, async_conn, device_type):
if TEST_CASES[device_type]["send_interactive_normal_response"] is None:
pytest.skip(
f"send_interactive_normal_response for device type {device_type} not tested"
)
interact = TEST_CASES[device_type]["send_interactive_normal_response"]["command"]
expected_response = TEST_CASES[device_type]["send_interactive_normal_response"]["expected"]
response = await async_conn.send_interactive(interact_events=interact)
assert response.result == expected_response
async def test_send_interactive_hidden_response(self, async_conn, device_type):
if TEST_CASES[device_type]["send_interactive_hidden_response"] is None:
pytest.skip(
f"send_interactive_hidden_response for device type {device_type} not tested"
)
interact = TEST_CASES[device_type]["send_interactive_hidden_response"]["command"]
expected_response = TEST_CASES[device_type]["send_interactive_hidden_response"]["expected"]
response = await async_conn.send_interactive(interact_events=interact)
assert response.result == expected_response
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_config(self, async_conn, device_type, strip_prompt):
config = TEST_CASES[device_type]["send_config"]["configs"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_response = TEST_CASES[device_type]["send_config"][expected_type]
verification = TEST_CASES[device_type]["send_config"]["verification"]
expected_verification = TEST_CASES[device_type]["send_config"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_config"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
response = await async_conn.send_config(config=config, strip_prompt=strip_prompt)
assert sanitize_response(response.result) == expected_response
verification_response = await async_conn.send_command(
command=verification, strip_prompt=strip_prompt
)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
await async_conn.send_configs(configs=teardown_configs)
else:
await async_conn.send_config(config=teardown_configs)
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_configs(self, async_conn, device_type, strip_prompt):
configs = TEST_CASES[device_type]["send_configs"]["configs"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_configs"][expected_type]
verification = TEST_CASES[device_type]["send_configs"]["verification"]
expected_verification = TEST_CASES[device_type]["send_configs"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_configs"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = await async_conn.send_configs(configs=configs, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert response.result == expected_response
verification_response = await async_conn.send_command(
command=verification, strip_prompt=strip_prompt
)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
await async_conn.send_configs(configs=teardown_configs)
else:
await async_conn.send_config(config=teardown_configs)
@pytest.mark.parametrize(
"strip_prompt",
[True, False],
ids=["strip_prompt", "no_strip_prompt"],
)
async def test_send_configs_from_file(self, async_conn, device_type, strip_prompt):
file = TEST_CASES[device_type]["send_configs_from_file"]["file"]
expected_type = "expected_no_strip" if not strip_prompt else "expected_strip"
expected_responses = TEST_CASES[device_type]["send_configs"][expected_type]
verification = TEST_CASES[device_type]["send_configs"]["verification"]
expected_verification = TEST_CASES[device_type]["send_configs"][
f"verification_{expected_type}"
]
teardown_configs = TEST_CASES[device_type]["send_configs"]["teardown_configs"]
sanitize_response = TEST_CASES[device_type]["sanitize_response"]
responses = await async_conn.send_configs_from_file(file=file, strip_prompt=strip_prompt)
for expected_response, response in zip(expected_responses, responses):
assert response.result == expected_response
verification_response = await async_conn.send_command(
command=verification, strip_prompt=strip_prompt
)
assert sanitize_response(verification_response.result) == expected_verification
if isinstance(teardown_configs, list):
await async_conn.send_configs(configs=teardown_configs)
else:
await async_conn.send_config(config=teardown_configs)
async def test_send_configs_stop_on_failed(self, async_conn, device_type):
if TEST_CASES[device_type]["send_configs_error"] is None:
pytest.skip(
f"test_send_configs_stop_on_failed for device type {device_type} not tested yet, need to overhaul privilege levels..."
)
configs = TEST_CASES[device_type]["send_configs_error"]["configs"]
teardown_configs = TEST_CASES[device_type]["send_configs_error"]["teardown_configs"]
responses = await async_conn.send_configs(configs=configs, stop_on_failed=True)
assert len(responses) == 2
assert responses[0].failed is False
assert responses[1].failed is True
if isinstance(teardown_configs, list):
await async_conn.send_configs(configs=teardown_configs)
else:
await async_conn.send_config(config=teardown_configs)
async def test_isalive_and_close(self, async_conn, device_type):
assert async_conn.isalive() is True
await async_conn.close()
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.5)
assert async_conn.isalive() is False
def test_context_manager(device_type, transport):
device = DEVICES[device_type].copy()
driver = device.pop("driver")
device.pop("base_config")
device.pop("async_driver")
port = device.pop("port", 22)
if transport == "telnet":
port = port + 1
device["port"] = port
device["transport"] = transport
# nxos running on macos is crazy slow....
device["timeout_socket"] = 30
device["timeout_transport"] = 30
device["timeout_ops"] = 30
with driver(**device) as conn:
assert conn.isalive() is True
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.5)
assert conn.isalive() is False
def test_public_key_auth(device_type, transport):
if device_type != "cisco_iosxe" or transport == "telnet":
pytest.skip("public key auth only tested against iosxe at the moment, and never on telnet!")
device = DEVICES[device_type].copy()
driver = device.pop("driver")
device.pop("base_config")
device.pop("async_driver")
device["transport"] = transport
device["timeout_socket"] = 5
device["timeout_transport"] = 5
device["timeout_ops"] = 5
device["auth_private_key"] = PRIVATE_KEY
with driver(**device) as conn:
assert conn.isalive() is True
# unsure why but w/out a tiny sleep pytest just plows ahead and the connection doesnt
# close in time for the next assert
time.sleep(0.2)
assert conn.isalive() is False
def test_public_key_auth_failure(device_type, transport):
if device_type != "cisco_iosxe" or transport == "telnet":
pytest.skip("public key auth only tested against iosxe at the moment, and never on telnet!")
if device_type != "cisco_iosxe" or transport == "system":
pytest.skip(
"systemssh raises a different exception as it cant distinguish between auth types as well as the other transports!"
)
device = DEVICES[device_type].copy()
driver = device.pop("driver")
device.pop("base_config")
device.pop("async_driver")
device["transport"] = transport
device["timeout_socket"] = 5
device["timeout_transport"] = 5
device["timeout_ops"] = 5
device["auth_private_key"] = INVALID_PRIVATE_KEY
device.pop("auth_password")
conn = driver(**device)
with pytest.raises(ScrapliAuthenticationFailed) as exc:
conn.open()
assert str(exc.value) == (
f"Failed to authenticate to host {device['host']} with private key `{INVALID_PRIVATE_KEY}`."
" Unable to continue authentication, missing username, password, or both."
)
def test_public_key_auth_failure_systemssh(device_type, transport):
if device_type != "cisco_iosxe" or transport != "system":
pytest.skip(
"systemssh raises a different exception as it cant distinguish between auth types as well as the other transports!"
)
device = DEVICES[device_type].copy()
driver = device.pop("driver")
device.pop("base_config")
device.pop("async_driver")
device["transport"] = transport
device["timeout_socket"] = 5
device["timeout_transport"] = 5
device["timeout_ops"] = 5
device["auth_private_key"] = INVALID_PRIVATE_KEY
device.pop("auth_password")
conn = driver(**device)
with pytest.raises(ScrapliAuthenticationFailed) as exc:
conn.open()
assert "auth failed" in str(exc.value)
| 49.241322 | 134 | 0.706354 | 3,600 | 29,791 | 5.507778 | 0.048056 | 0.080442 | 0.066573 | 0.084325 | 0.961116 | 0.948759 | 0.938118 | 0.921929 | 0.903772 | 0.903772 | 0 | 0.001752 | 0.195361 | 29,791 | 604 | 135 | 49.322848 | 0.825414 | 0.025075 | 0 | 0.738636 | 0 | 0 | 0.192973 | 0.03114 | 0 | 0 | 0 | 0 | 0.111742 | 1 | 0.049242 | false | 0.005682 | 0.00947 | 0 | 0.066288 | 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 |
819bbc8ef9d47ece9b6bcb01596d4ee70b7edd04 | 254 | py | Python | CPAC/pypeer/__init__.py | Lawreros/C-PAC | ce26ba9a38cbd401cd405150eeed23b805007724 | [
"BSD-3-Clause"
] | 125 | 2015-03-04T09:14:46.000Z | 2022-03-29T07:46:12.000Z | CPAC/pypeer/__init__.py | Lawreros/C-PAC | ce26ba9a38cbd401cd405150eeed23b805007724 | [
"BSD-3-Clause"
] | 1,018 | 2015-01-04T16:01:29.000Z | 2022-03-31T19:23:09.000Z | CPAC/pypeer/__init__.py | Lawreros/C-PAC | ce26ba9a38cbd401cd405150eeed23b805007724 | [
"BSD-3-Clause"
] | 117 | 2015-01-10T08:05:52.000Z | 2022-01-18T05:16:51.000Z | from .peer import (
pypeer_eye_masking,
pypeer_zscore,
pypeer_ravel_data,
motion_scrub,
prep_for_pypeer
)
__all__ = [
'pypeer_eye_masking',
'pypeer_zscore',
'pypeer_ravel_data',
'motion_scrub',
'prep_for_pypeer'
] | 16.933333 | 25 | 0.673228 | 30 | 254 | 5.033333 | 0.466667 | 0.119205 | 0.211921 | 0.291391 | 0.887417 | 0.887417 | 0.887417 | 0.887417 | 0.887417 | 0.887417 | 0 | 0 | 0.232283 | 254 | 15 | 26 | 16.933333 | 0.774359 | 0 | 0 | 0 | 0 | 0 | 0.294118 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
81aa846d9c1755d2c6c5ca14246e438aa585c1f7 | 312,637 | py | Python | sympy/integrals/rubi/rules/hyperbolic.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | 2 | 2018-12-05T02:30:43.000Z | 2020-11-14T01:43:15.000Z | sympy/integrals/rubi/rules/hyperbolic.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | 1 | 2017-10-23T06:56:43.000Z | 2017-10-23T06:56:43.000Z | sympy/integrals/rubi/rules/hyperbolic.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | 1 | 2020-10-02T15:05:03.000Z | 2020-10-02T15:05:03.000Z | from sympy.external import import_module
matchpy = import_module("matchpy")
from sympy.utilities.decorator import doctest_depends_on
if matchpy:
from matchpy import Pattern, ReplacementRule, CustomConstraint
from sympy.integrals.rubi.utility_function import (Int, Set, With, Module, Scan, MapAnd, FalseQ, ZeroQ, NegativeQ, NonzeroQ, FreeQ, NFreeQ, List, Log, PositiveQ, PositiveIntegerQ, NegativeIntegerQ, IntegerQ, IntegersQ, ComplexNumberQ, PureComplexNumberQ, RealNumericQ, PositiveOrZeroQ, NegativeOrZeroQ, FractionOrNegativeQ, NegQ, Equal, Unequal, IntPart, FracPart, RationalQ, ProductQ, SumQ, NonsumQ, Subst, First, Rest, SqrtNumberQ, SqrtNumberSumQ, LinearQ, Sqrt, ArcCosh, Coefficient, Denominator, Hypergeometric2F1, Not, Simplify, FractionalPart, IntegerPart, AppellF1, EllipticPi, EllipticE, EllipticF, ArcTan, ArcCot, ArcCoth, ArcTanh, ArcSin, ArcSinh, ArcCos, ArcCsc, ArcSec, ArcCsch, ArcSech, Sinh, Tanh, Cosh, Sech, Csch, Coth, LessEqual, Less, Greater, GreaterEqual, FractionQ, IntLinearcQ, Expand, IndependentQ, PowerQ, IntegerPowerQ, PositiveIntegerPowerQ, FractionalPowerQ, AtomQ, ExpQ, LogQ, Head, MemberQ, TrigQ, SinQ, CosQ, TanQ, CotQ, SecQ, CscQ, Sin, Cos, Tan, Cot, Sec, Csc, HyperbolicQ, SinhQ, CoshQ, TanhQ, CothQ, SechQ, CschQ, InverseTrigQ, SinCosQ, SinhCoshQ, LeafCount, Numerator, NumberQ, NumericQ, Length, ListQ, Im, Re, InverseHyperbolicQ, InverseFunctionQ, TrigHyperbolicFreeQ, InverseFunctionFreeQ, RealQ, EqQ, FractionalPowerFreeQ, ComplexFreeQ, PolynomialQ, FactorSquareFree, PowerOfLinearQ, Exponent, QuadraticQ, LinearPairQ, BinomialParts, TrinomialParts, PolyQ, EvenQ, OddQ, PerfectSquareQ, NiceSqrtAuxQ, NiceSqrtQ, Together, PosAux, PosQ, CoefficientList, ReplaceAll, ExpandLinearProduct, GCD, ContentFactor, NumericFactor, NonnumericFactors, MakeAssocList, GensymSubst, KernelSubst, ExpandExpression, Apart, SmartApart, MatchQ, PolynomialQuotientRemainder, FreeFactors, NonfreeFactors, RemoveContentAux, RemoveContent, FreeTerms, NonfreeTerms, ExpandAlgebraicFunction, CollectReciprocals, ExpandCleanup, AlgebraicFunctionQ, Coeff, LeadTerm, RemainingTerms, LeadFactor, RemainingFactors, LeadBase, LeadDegree, Numer, Denom, hypergeom, Expon, MergeMonomials, PolynomialDivide, BinomialQ, TrinomialQ, GeneralizedBinomialQ, GeneralizedTrinomialQ, FactorSquareFreeList, PerfectPowerTest, SquareFreeFactorTest, RationalFunctionQ, RationalFunctionFactors, NonrationalFunctionFactors, Reverse, RationalFunctionExponents, RationalFunctionExpand, ExpandIntegrand, SimplerQ, SimplerSqrtQ, SumSimplerQ, BinomialDegree, TrinomialDegree, CancelCommonFactors, SimplerIntegrandQ, GeneralizedBinomialDegree, GeneralizedBinomialParts, GeneralizedTrinomialDegree, GeneralizedTrinomialParts, MonomialQ, MonomialSumQ, MinimumMonomialExponent, MonomialExponent, LinearMatchQ, PowerOfLinearMatchQ, QuadraticMatchQ, CubicMatchQ, BinomialMatchQ, TrinomialMatchQ, GeneralizedBinomialMatchQ, GeneralizedTrinomialMatchQ, QuotientOfLinearsMatchQ, PolynomialTermQ, PolynomialTerms, NonpolynomialTerms, PseudoBinomialParts, NormalizePseudoBinomial, PseudoBinomialPairQ, PseudoBinomialQ, PolynomialGCD, PolyGCD, AlgebraicFunctionFactors, NonalgebraicFunctionFactors, QuotientOfLinearsP, QuotientOfLinearsParts, QuotientOfLinearsQ, Flatten, Sort, AbsurdNumberQ, AbsurdNumberFactors, NonabsurdNumberFactors, SumSimplerAuxQ, Prepend, Drop, CombineExponents, FactorInteger, FactorAbsurdNumber, SubstForInverseFunction, SubstForFractionalPower, SubstForFractionalPowerOfQuotientOfLinears, FractionalPowerOfQuotientOfLinears, SubstForFractionalPowerQ, SubstForFractionalPowerAuxQ, FractionalPowerOfSquareQ, FractionalPowerSubexpressionQ, Apply, FactorNumericGcd, MergeableFactorQ, MergeFactor, MergeFactors, TrigSimplifyQ, TrigSimplify, TrigSimplifyRecur, Order, FactorOrder, Smallest, OrderedQ, MinimumDegree, PositiveFactors, Sign, NonpositiveFactors, PolynomialInAuxQ, PolynomialInQ, ExponentInAux, ExponentIn, PolynomialInSubstAux, PolynomialInSubst, Distrib, DistributeDegree, FunctionOfPower, DivideDegreesOfFactors, MonomialFactor, FullSimplify, FunctionOfLinearSubst, FunctionOfLinear, NormalizeIntegrand, NormalizeIntegrandAux, NormalizeIntegrandFactor, NormalizeIntegrandFactorBase, NormalizeTogether, NormalizeLeadTermSigns, AbsorbMinusSign, NormalizeSumFactors, SignOfFactor, NormalizePowerOfLinear, SimplifyIntegrand, SimplifyTerm, TogetherSimplify, SmartSimplify, SubstForExpn, ExpandToSum, UnifySum, UnifyTerms, UnifyTerm, CalculusQ, FunctionOfInverseLinear, PureFunctionOfSinhQ, PureFunctionOfTanhQ, PureFunctionOfCoshQ, IntegerQuotientQ, OddQuotientQ, EvenQuotientQ, FindTrigFactor, FunctionOfSinhQ, FunctionOfCoshQ, OddHyperbolicPowerQ, FunctionOfTanhQ, FunctionOfTanhWeight, FunctionOfHyperbolicQ, SmartNumerator, SmartDenominator, SubstForAux, ActivateTrig, ExpandTrig, TrigExpand, SubstForTrig, SubstForHyperbolic, InertTrigFreeQ, LCM, SubstForFractionalPowerOfLinear, FractionalPowerOfLinear, InverseFunctionOfLinear, InertTrigQ, InertReciprocalQ, DeactivateTrig, FixInertTrigFunction, DeactivateTrigAux, PowerOfInertTrigSumQ, PiecewiseLinearQ, KnownTrigIntegrandQ, KnownSineIntegrandQ, KnownTangentIntegrandQ, KnownCotangentIntegrandQ, KnownSecantIntegrandQ, TryPureTanSubst, TryTanhSubst, TryPureTanhSubst, AbsurdNumberGCD, AbsurdNumberGCDList, ExpandTrigExpand, ExpandTrigReduce, ExpandTrigReduceAux, NormalizeTrig, TrigToExp, ExpandTrigToExp, TrigReduce, FunctionOfTrig, AlgebraicTrigFunctionQ, FunctionOfHyperbolic, FunctionOfQ, FunctionOfExpnQ, PureFunctionOfSinQ, PureFunctionOfCosQ, PureFunctionOfTanQ, PureFunctionOfCotQ, FunctionOfCosQ, FunctionOfSinQ, OddTrigPowerQ, FunctionOfTanQ, FunctionOfTanWeight, FunctionOfTrigQ, FunctionOfDensePolynomialsQ, FunctionOfLog, PowerVariableExpn, PowerVariableDegree, PowerVariableSubst, EulerIntegrandQ, FunctionOfSquareRootOfQuadratic, SquareRootOfQuadraticSubst, Divides, EasyDQ, ProductOfLinearPowersQ, Rt, NthRoot, AtomBaseQ, SumBaseQ, NegSumBaseQ, AllNegTermQ, SomeNegTermQ, TrigSquareQ, RtAux, TrigSquare, IntSum, IntTerm, Map2, ConstantFactor, SameQ, ReplacePart, CommonFactors, MostMainFactorPosition, FunctionOfExponentialQ, FunctionOfExponential, FunctionOfExponentialFunction, FunctionOfExponentialFunctionAux, FunctionOfExponentialTest, FunctionOfExponentialTestAux, stdev, rubi_test, If, IntQuadraticQ, IntBinomialQ, RectifyTangent, RectifyCotangent, Inequality, Condition, Simp, SimpHelp, SplitProduct, SplitSum, SubstFor, SubstForAux, FresnelS, FresnelC, Erfc, Erfi, Gamma, FunctionOfTrigOfLinearQ, ElementaryFunctionQ, Complex, UnsameQ, _SimpFixFactor, SimpFixFactor, _FixSimplify, FixSimplify, _SimplifyAntiderivativeSum, SimplifyAntiderivativeSum, _SimplifyAntiderivative, SimplifyAntiderivative, _TrigSimplifyAux, TrigSimplifyAux, Cancel, Part, PolyLog, D, Dist)
from sympy import Integral, S, sqrt
from sympy.integrals.rubi.symbol import WC
from sympy.core.symbol import symbols, Symbol
from sympy.functions import (log, sin, cos, tan, cot, csc, sec, sqrt, erf, exp, log)
from sympy.functions.elementary.hyperbolic import (acosh, asinh, atanh, acoth, acsch, asech, cosh, sinh, tanh, coth, sech, csch)
from sympy.functions.elementary.trigonometric import (atan, acsc, asin, acot, acos, asec)
A_, B_, C_, F_, G_, H_, a_, b_, c_, d_, e_, f_, g_, h_, i_, j_, k_, l_, m_, n_, p_, q_, r_, t_, u_, v_, s_, w_, x_, y_, z_ = [WC(i) for i in 'ABCFGHabcdefghijklmnpqrtuvswxyz']
a1_, a2_, b1_, b2_, c1_, c2_, d1_, d2_, n1_, n2_, e1_, e2_, f1_, f2_, g1_, g2_, n1_, n2_, n3_, Pq_, Pm_, Px_, Qm_, Qr_, Qx_, jn_, mn_, non2_, RFx_, RGx_ = [WC(i) for i in ['a1', 'a2', 'b1', 'b2', 'c1', 'c2', 'd1', 'd2', 'n1', 'n2', 'e1', 'e2', 'f1', 'f2', 'g1', 'g2', 'n1', 'n2', 'n3', 'Pq', 'Pm', 'Px', 'Qm', 'Qr', 'Qx', 'jn', 'mn', 'non2', 'RFx', 'RGx']]
_UseGamma = False
def hyperbolic(rubi):
pattern1 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule1 = ReplacementRule(pattern1, lambda m, e, x, f, d, c : -d*m*Int((c + d*x)**(m + S(-1))*Cosh(e + f*x), x)/f + (c + d*x)**m*Cosh(e + f*x)/f)
rubi.add(rule1)
pattern2 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule2 = ReplacementRule(pattern2, lambda m, e, x, f, d, c : -d*m*Int((c + d*x)**(m + S(-1))*sinh(e + f*x), x)/f + (c + d*x)**m*sinh(e + f*x)/f)
rubi.add(rule2)
pattern3 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*sinh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))))
rule3 = ReplacementRule(pattern3, lambda m, e, x, f, d, c : -f*Int((c + d*x)**(m + S(1))*Cosh(e + f*x), x)/(d*(m + S(1))) + (c + d*x)**(m + S(1))*sinh(e + f*x)/(d*(m + S(1))))
rubi.add(rule3)
pattern4 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*Cosh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))))
rule4 = ReplacementRule(pattern4, lambda m, e, x, f, d, c : -f*Int((c + d*x)**(m + S(1))*sinh(e + f*x), x)/(d*(m + S(1))) + (c + d*x)**(m + S(1))*Cosh(e + f*x)/(d*(m + S(1))))
rubi.add(rule4)
pattern5 = Pattern(Integral(sinh(x_*WC('f', S(1)) + WC('e', S(0)))/(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda d, f, e, c: ZeroQ(-c*f + d*e)))
rule5 = ReplacementRule(pattern5, lambda e, x, f, d, c : SinhIntegral(e + f*x)/d)
rubi.add(rule5)
pattern6 = Pattern(Integral(Cosh(x_*WC('f', S(1)) + WC('e', S(0)))/(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda d, f, e, c: ZeroQ(-c*f + d*e)))
rule6 = ReplacementRule(pattern6, lambda e, x, f, d, c : CoshIntegral(e + f*x)/d)
rubi.add(rule6)
pattern7 = Pattern(Integral(sinh(x_*WC('f', S(1)) + WC('e', S(0)))/(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda d, f, e, c: NonzeroQ(-c*f + d*e)))
rule7 = ReplacementRule(pattern7, lambda e, x, f, d, c : Cosh((-c*f + d*e)/d)*Int(sinh(c*f/d + f*x)/(c + d*x), x) + Int(Cosh(c*f/d + f*x)/(c + d*x), x)*sinh((-c*f + d*e)/d))
rubi.add(rule7)
pattern8 = Pattern(Integral(Cosh(x_*WC('f', S(1)) + WC('e', S(0)))/(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda d, f, e, c: NonzeroQ(-c*f + d*e)))
rule8 = ReplacementRule(pattern8, lambda e, x, f, d, c : Cosh((-c*f + d*e)/d)*Int(Cosh(c*f/d + f*x)/(c + d*x), x) + Int(sinh(c*f/d + f*x)/(c + d*x), x)*sinh((-c*f + d*e)/d))
rubi.add(rule8)
pattern9 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)))
rule9 = ReplacementRule(pattern9, lambda m, e, x, f, d, c : -Int((c + d*x)**m*exp(-e - f*x), x)/S(2) + Int((c + d*x)**m*exp(e + f*x), x)/S(2))
rubi.add(rule9)
pattern10 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)))
rule10 = ReplacementRule(pattern10, lambda m, e, x, f, d, c : Int((c + d*x)**m*exp(-e - f*x), x)/S(2) + Int((c + d*x)**m*exp(e + f*x), x)/S(2))
rubi.add(rule10)
pattern11 = Pattern(Integral((WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule11 = ReplacementRule(pattern11, lambda c, e, x, f, d, n, b : -b**S(2)*(n + S(-1))*Int((b*sinh(e + f*x))**(n + S(-2))*(c + d*x), x)/n + b*(b*sinh(e + f*x))**(n + S(-1))*(c + d*x)*Cosh(e + f*x)/(f*n) - d*(b*sinh(e + f*x))**n/(f**S(2)*n**S(2)))
rubi.add(rule11)
pattern12 = Pattern(Integral((Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule12 = ReplacementRule(pattern12, lambda e, x, f, d, n, b, c : b**S(2)*(n + S(-1))*Int((b*Cosh(e + f*x))**(n + S(-2))*(c + d*x), x)/n + b*(b*Cosh(e + f*x))**(n + S(-1))*(c + d*x)*sinh(e + f*x)/(f*n) - d*(b*Cosh(e + f*x))**n/(f**S(2)*n**S(2)))
rubi.add(rule12)
pattern13 = Pattern(Integral((WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Greater(m, S(1))))
rule13 = ReplacementRule(pattern13, lambda m, c, e, x, f, d, n, b : -b**S(2)*(n + S(-1))*Int((b*sinh(e + f*x))**(n + S(-2))*(c + d*x)**m, x)/n + b*(b*sinh(e + f*x))**(n + S(-1))*(c + d*x)**m*Cosh(e + f*x)/(f*n) + d**S(2)*m*(m + S(-1))*Int((b*sinh(e + f*x))**n*(c + d*x)**(m + S(-2)), x)/(f**S(2)*n**S(2)) - d*m*(b*sinh(e + f*x))**n*(c + d*x)**(m + S(-1))/(f**S(2)*n**S(2)))
rubi.add(rule13)
pattern14 = Pattern(Integral((Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Greater(m, S(1))))
rule14 = ReplacementRule(pattern14, lambda m, e, x, f, d, n, b, c : b**S(2)*(n + S(-1))*Int((b*Cosh(e + f*x))**(n + S(-2))*(c + d*x)**m, x)/n + b*(b*Cosh(e + f*x))**(n + S(-1))*(c + d*x)**m*sinh(e + f*x)/(f*n) + d**S(2)*m*(m + S(-1))*Int((b*Cosh(e + f*x))**n*(c + d*x)**(m + S(-2)), x)/(f**S(2)*n**S(2)) - d*m*(b*Cosh(e + f*x))**n*(c + d*x)**(m + S(-1))/(f**S(2)*n**S(2)))
rubi.add(rule14)
pattern15 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*sinh(x_*WC('f', S(1)) + WC('e', S(0)))**n_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Not(RationalQ(m)) | Inequality(S(-1), LessEqual, m, Less, S(1))))
rule15 = ReplacementRule(pattern15, lambda m, e, x, f, d, n, c : Int(ExpandTrigReduce((c + d*x)**m, sinh(e + f*x)**n, x), x))
rubi.add(rule15)
pattern16 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*Cosh(x_*WC('f', S(1)) + WC('e', S(0)))**n_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Not(RationalQ(m)) | Inequality(S(-1), LessEqual, m, Less, S(1))))
rule16 = ReplacementRule(pattern16, lambda m, e, x, f, d, n, c : Int(ExpandTrigReduce((c + d*x)**m, Cosh(e + f*x)**n, x), x))
rubi.add(rule16)
pattern17 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*sinh(x_*WC('f', S(1)) + WC('e', S(0)))**n_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Inequality(S(-2), LessEqual, m, Less, S(-1))))
rule17 = ReplacementRule(pattern17, lambda m, e, x, f, d, n, c : -f*n*Int(ExpandTrigReduce((c + d*x)**(m + S(1)), Cosh(e + f*x)*sinh(e + f*x)**(n + S(-1)), x), x)/(d*(m + S(1))) + (c + d*x)**(m + S(1))*sinh(e + f*x)**n/(d*(m + S(1))))
rubi.add(rule17)
pattern18 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*Cosh(x_*WC('f', S(1)) + WC('e', S(0)))**n_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Inequality(S(-2), LessEqual, m, Less, S(-1))))
rule18 = ReplacementRule(pattern18, lambda m, e, x, f, d, n, c : -f*n*Int(ExpandTrigReduce((c + d*x)**(m + S(1)), Cosh(e + f*x)**(n + S(-1))*sinh(e + f*x), x), x)/(d*(m + S(1))) + (c + d*x)**(m + S(1))*Cosh(e + f*x)**n/(d*(m + S(1))))
rubi.add(rule18)
pattern19 = Pattern(Integral((WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Less(m, S(-2))))
rule19 = ReplacementRule(pattern19, lambda m, c, e, x, f, d, n, b : b**S(2)*f**S(2)*n*(n + S(-1))*Int((b*sinh(e + f*x))**(n + S(-2))*(c + d*x)**(m + S(2)), x)/(d**S(2)*(m + S(1))*(m + S(2))) - b*f*n*(b*sinh(e + f*x))**(n + S(-1))*(c + d*x)**(m + S(2))*Cosh(e + f*x)/(d**S(2)*(m + S(1))*(m + S(2))) + (b*sinh(e + f*x))**n*(c + d*x)**(m + S(1))/(d*(m + S(1))) + f**S(2)*n**S(2)*Int((b*sinh(e + f*x))**n*(c + d*x)**(m + S(2)), x)/(d**S(2)*(m + S(1))*(m + S(2))))
rubi.add(rule19)
pattern20 = Pattern(Integral((Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Less(m, S(-2))))
rule20 = ReplacementRule(pattern20, lambda m, e, x, f, d, n, b, c : -b**S(2)*f**S(2)*n*(n + S(-1))*Int((b*Cosh(e + f*x))**(n + S(-2))*(c + d*x)**(m + S(2)), x)/(d**S(2)*(m + S(1))*(m + S(2))) - b*f*n*(b*Cosh(e + f*x))**(n + S(-1))*(c + d*x)**(m + S(2))*sinh(e + f*x)/(d**S(2)*(m + S(1))*(m + S(2))) + (b*Cosh(e + f*x))**n*(c + d*x)**(m + S(1))/(d*(m + S(1))) + f**S(2)*n**S(2)*Int((b*Cosh(e + f*x))**n*(c + d*x)**(m + S(2)), x)/(d**S(2)*(m + S(1))*(m + S(2))))
rubi.add(rule20)
pattern21 = Pattern(Integral((WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))))
rule21 = ReplacementRule(pattern21, lambda c, e, x, f, d, n, b : (b*sinh(e + f*x))**(n + S(1))*(c + d*x)*Cosh(e + f*x)/(b*f*(n + S(1))) - d*(b*sinh(e + f*x))**(n + S(2))/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) - (n + S(2))*Int((b*sinh(e + f*x))**(n + S(2))*(c + d*x), x)/(b**S(2)*(n + S(1))))
rubi.add(rule21)
pattern22 = Pattern(Integral((Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))))
rule22 = ReplacementRule(pattern22, lambda e, x, f, d, n, b, c : (b*Cosh(e + f*x))**(n + S(1))*(-c - d*x)*sinh(e + f*x)/(b*f*(n + S(1))) + d*(b*Cosh(e + f*x))**(n + S(2))/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) + (n + S(2))*Int((b*Cosh(e + f*x))**(n + S(2))*(c + d*x), x)/(b**S(2)*(n + S(1))))
rubi.add(rule22)
pattern23 = Pattern(Integral((WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))), CustomConstraint(lambda m: Greater(m, S(1))))
rule23 = ReplacementRule(pattern23, lambda m, c, e, x, f, d, n, b : (b*sinh(e + f*x))**(n + S(1))*(c + d*x)**m*Cosh(e + f*x)/(b*f*(n + S(1))) + d**S(2)*m*(m + S(-1))*Int((b*sinh(e + f*x))**(n + S(2))*(c + d*x)**(m + S(-2)), x)/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) - d*m*(b*sinh(e + f*x))**(n + S(2))*(c + d*x)**(m + S(-1))/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) - (n + S(2))*Int((b*sinh(e + f*x))**(n + S(2))*(c + d*x)**m, x)/(b**S(2)*(n + S(1))))
rubi.add(rule23)
pattern24 = Pattern(Integral((Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))), CustomConstraint(lambda m: Greater(m, S(1))))
rule24 = ReplacementRule(pattern24, lambda m, e, x, f, d, n, b, c : -(b*Cosh(e + f*x))**(n + S(1))*(c + d*x)**m*sinh(e + f*x)/(b*f*(n + S(1))) - d**S(2)*m*(m + S(-1))*Int((b*Cosh(e + f*x))**(n + S(2))*(c + d*x)**(m + S(-2)), x)/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) + d*m*(b*Cosh(e + f*x))**(n + S(2))*(c + d*x)**(m + S(-1))/(b**S(2)*f**S(2)*(n + S(1))*(n + S(2))) + (n + S(2))*Int((b*Cosh(e + f*x))**(n + S(2))*(c + d*x)**m, x)/(b**S(2)*(n + S(1))))
rubi.add(rule24)
pattern25 = Pattern(Integral((a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, m, b, a: PositiveIntegerQ(m) | Equal(n, S(1)) | NonzeroQ(a**S(2) + b**S(2))))
rule25 = ReplacementRule(pattern25, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (a + b*sinh(e + f*x))**n, x), x))
rubi.add(rule25)
pattern26 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, m, b, a: PositiveIntegerQ(m) | Equal(n, S(1)) | NonzeroQ(a**S(2) - b**S(2))))
rule26 = ReplacementRule(pattern26, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (a + b*Cosh(e + f*x))**n, x), x))
rubi.add(rule26)
pattern27 = Pattern(Integral((a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) + b**S(2))), CustomConstraint(lambda n: IntegerQ(n)))
rule27 = ReplacementRule(pattern27, lambda m, c, e, x, f, d, a, n, b : (S(2)*a)**n*Int((c + d*x)**m*Cosh(-Pi*a/(S(4)*b) + e/S(2) + f*x/S(2))**(S(2)*n), x))
rubi.add(rule27)
pattern28 = Pattern(Integral((a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) + b**S(2))), CustomConstraint(lambda n: IntegerQ(S(2)*n)), CustomConstraint(lambda n, m: PositiveIntegerQ(m) | Greater(n, S(0))))
rule28 = ReplacementRule(pattern28, lambda m, c, e, x, f, d, a, n, b : (S(2)*a)**IntPart(n)*(a + b*sinh(e + f*x))**FracPart(n)*Cosh(-Pi*a/(S(4)*b) + e/S(2) + f*x/S(2))**(-S(2)*FracPart(n))*Int((c + d*x)**m*Cosh(-Pi*a/(S(4)*b) + e/S(2) + f*x/S(2))**(S(2)*n), x))
rubi.add(rule28)
pattern29 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a - b)), CustomConstraint(lambda n: IntegerQ(n)))
rule29 = ReplacementRule(pattern29, lambda m, e, x, f, d, a, n, b, c : (S(2)*a)**n*Int((c + d*x)**m*Cosh(e/S(2) + f*x/S(2))**(S(2)*n), x))
rubi.add(rule29)
pattern30 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a + b)), CustomConstraint(lambda n: IntegerQ(n)))
rule30 = ReplacementRule(pattern30, lambda m, e, x, f, d, a, n, b, c : (-S(2)*a)**n*Int((c + d*x)**m*sinh(e/S(2) + f*x/S(2))**(S(2)*n), x))
rubi.add(rule30)
pattern31 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a - b)), CustomConstraint(lambda n: IntegerQ(S(2)*n)), CustomConstraint(lambda n, m: PositiveIntegerQ(m) | Greater(n, S(0))))
rule31 = ReplacementRule(pattern31, lambda m, e, x, f, d, a, n, b, c : (S(2)*a)**IntPart(n)*(a + b*Cosh(e + f*x))**FracPart(n)*Cosh(e/S(2) + f*x/S(2))**(-S(2)*FracPart(n))*Int((c + d*x)**m*Cosh(e/S(2) + f*x/S(2))**(S(2)*n), x))
rubi.add(rule31)
pattern32 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a + b)), CustomConstraint(lambda n: IntegerQ(S(2)*n)), CustomConstraint(lambda n, m: PositiveIntegerQ(m) | Greater(n, S(0))))
rule32 = ReplacementRule(pattern32, lambda m, e, x, f, d, a, n, b, c : (-S(2)*a)**IntPart(n)*(a + b*Cosh(e + f*x))**FracPart(n)*Int((c + d*x)**m*sinh(e/S(2) + f*x/S(2))**(S(2)*n), x)*sinh(e/S(2) + f*x/S(2))**(-S(2)*FracPart(n)))
rubi.add(rule32)
pattern33 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) + b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule33 = ReplacementRule(pattern33, lambda m, c, e, x, f, d, a, b : -S(2)*Int((c + d*x)**m*exp(e + f*x)/(-S(2)*a*exp(e + f*x) - b*exp(S(2)*e + S(2)*f*x) + b), x))
rubi.add(rule33)
pattern34 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule34 = ReplacementRule(pattern34, lambda m, e, x, f, d, a, b, c : S(2)*Int((c + d*x)**m*exp(e + f*x)/(S(2)*a*exp(e + f*x) + b*exp(S(2)*e + S(2)*f*x) + b), x))
rubi.add(rule34)
pattern35 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) + b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule35 = ReplacementRule(pattern35, lambda m, c, e, x, f, d, a, b : a*Int((c + d*x)**m/(a + b*sinh(e + f*x)), x)/(a**S(2) + b**S(2)) + b*d*m*Int((c + d*x)**(m + S(-1))*Cosh(e + f*x)/(a + b*sinh(e + f*x)), x)/(f*(a**S(2) + b**S(2))) - b*(c + d*x)**m*Cosh(e + f*x)/(f*(a + b*sinh(e + f*x))*(a**S(2) + b**S(2))))
rubi.add(rule35)
pattern36 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule36 = ReplacementRule(pattern36, lambda m, e, x, f, d, a, b, c : a*Int((c + d*x)**m/(a + b*Cosh(e + f*x)), x)/(a**S(2) - b**S(2)) + b*d*m*Int((c + d*x)**(m + S(-1))*sinh(e + f*x)/(a + b*Cosh(e + f*x)), x)/(f*(a**S(2) - b**S(2))) - b*(c + d*x)**m*sinh(e + f*x)/(f*(a + b*Cosh(e + f*x))*(a**S(2) - b**S(2))))
rubi.add(rule36)
pattern37 = Pattern(Integral((a_ + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) + b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n + S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule37 = ReplacementRule(pattern37, lambda m, c, e, x, f, d, a, n, b : a*Int((a + b*sinh(e + f*x))**(n + S(1))*(c + d*x)**m, x)/(a**S(2) + b**S(2)) - b*d*m*Int((a + b*sinh(e + f*x))**(n + S(1))*(c + d*x)**(m + S(-1))*Cosh(e + f*x), x)/(f*(a**S(2) + b**S(2))*(n + S(1))) - b*(n + S(2))*Int((a + b*sinh(e + f*x))**(n + S(1))*(c + d*x)**m*sinh(e + f*x), x)/((a**S(2) + b**S(2))*(n + S(1))) + b*(a + b*sinh(e + f*x))**(n + S(1))*(c + d*x)**m*Cosh(e + f*x)/(f*(a**S(2) + b**S(2))*(n + S(1))))
rubi.add(rule37)
pattern38 = Pattern(Integral((a_ + Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n + S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule38 = ReplacementRule(pattern38, lambda m, e, x, f, d, a, n, b, c : a*Int((a + b*Cosh(e + f*x))**(n + S(1))*(c + d*x)**m, x)/(a**S(2) - b**S(2)) - b*d*m*Int((a + b*Cosh(e + f*x))**(n + S(1))*(c + d*x)**(m + S(-1))*sinh(e + f*x), x)/(f*(a**S(2) - b**S(2))*(n + S(1))) - b*(n + S(2))*Int((a + b*Cosh(e + f*x))**(n + S(1))*(c + d*x)**m*Cosh(e + f*x), x)/((a**S(2) - b**S(2))*(n + S(1))) + b*(a + b*Cosh(e + f*x))**(n + S(1))*(c + d*x)**m*sinh(e + f*x)/(f*(a**S(2) - b**S(2))*(n + S(1))))
rubi.add(rule38)
pattern39 = Pattern(Integral(u_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(v_))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule39 = ReplacementRule(pattern39, lambda m, x, a, n, v, u, b : Int((a + b*sinh(ExpandToSum(v, x)))**n*ExpandToSum(u, x)**m, x))
rubi.add(rule39)
pattern40 = Pattern(Integral(u_**WC('m', S(1))*(Cosh(v_)*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule40 = ReplacementRule(pattern40, lambda m, x, a, n, v, u, b : Int((a + b*Cosh(ExpandToSum(v, x)))**n*ExpandToSum(u, x)**m, x))
rubi.add(rule40)
pattern41 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule41 = ReplacementRule(pattern41, lambda m, c, e, x, a, d, f, n, b : Int((a + b*sinh(e + f*x))**n*(c + d*x)**m, x))
rubi.add(rule41)
pattern42 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*(Cosh(x_*WC('f', S(1)) + WC('e', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule42 = ReplacementRule(pattern42, lambda m, c, e, x, f, a, d, n, b : Int((a + b*Cosh(e + f*x))**n*(c + d*x)**m, x))
rubi.add(rule42)
pattern43 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule43 = ReplacementRule(pattern43, lambda p, x, a, d, n, b, c : Int(ExpandIntegrand(sinh(c + d*x), (a + b*x**n)**p, x), x))
rubi.add(rule43)
pattern44 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule44 = ReplacementRule(pattern44, lambda p, c, x, a, d, n, b : Int(ExpandIntegrand(Cosh(c + d*x), (a + b*x**n)**p, x), x))
rubi.add(rule44)
pattern45 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n: Greater(n, S(2))))
rule45 = ReplacementRule(pattern45, lambda p, x, a, d, n, b, c : -d*Int(x**(-n + S(1))*(a + b*x**n)**(p + S(1))*Cosh(c + d*x), x)/(b*n*(p + S(1))) + x**(-n + S(1))*(a + b*x**n)**(p + S(1))*sinh(c + d*x)/(b*n*(p + S(1))) - (-n + S(1))*Int(x**(-n)*(a + b*x**n)**(p + S(1))*sinh(c + d*x), x)/(b*n*(p + S(1))))
rubi.add(rule45)
pattern46 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n: Greater(n, S(2))))
rule46 = ReplacementRule(pattern46, lambda p, c, x, a, d, n, b : -d*Int(x**(-n + S(1))*(a + b*x**n)**(p + S(1))*sinh(c + d*x), x)/(b*n*(p + S(1))) + x**(-n + S(1))*(a + b*x**n)**(p + S(1))*Cosh(c + d*x)/(b*n*(p + S(1))) - (-n + S(1))*Int(x**(-n)*(a + b*x**n)**(p + S(1))*Cosh(c + d*x), x)/(b*n*(p + S(1))))
rubi.add(rule46)
pattern47 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, p: Equal(n, S(2)) | Equal(p, S(-1))))
rule47 = ReplacementRule(pattern47, lambda p, x, a, d, n, b, c : Int(ExpandIntegrand(sinh(c + d*x), (a + b*x**n)**p, x), x))
rubi.add(rule47)
pattern48 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, p: Equal(n, S(2)) | Equal(p, S(-1))))
rule48 = ReplacementRule(pattern48, lambda p, c, x, a, d, n, b : Int(ExpandIntegrand(Cosh(c + d*x), (a + b*x**n)**p, x), x))
rubi.add(rule48)
pattern49 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule49 = ReplacementRule(pattern49, lambda p, x, a, d, n, b, c : Int(x**(n*p)*(a*x**(-n) + b)**p*sinh(c + d*x), x))
rubi.add(rule49)
pattern50 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule50 = ReplacementRule(pattern50, lambda p, c, x, a, d, n, b : Int(x**(n*p)*(a*x**(-n) + b)**p*Cosh(c + d*x), x))
rubi.add(rule50)
pattern51 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule51 = ReplacementRule(pattern51, lambda p, x, a, d, n, b, c : Int((a + b*x**n)**p*sinh(c + d*x), x))
rubi.add(rule51)
pattern52 = Pattern(Integral((a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule52 = ReplacementRule(pattern52, lambda p, c, x, a, d, n, b : Int((a + b*x**n)**p*Cosh(c + d*x), x))
rubi.add(rule52)
pattern53 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule53 = ReplacementRule(pattern53, lambda p, m, e, x, a, d, n, b, c : Int(ExpandIntegrand(sinh(c + d*x), (e*x)**m*(a + b*x**n)**p, x), x))
rubi.add(rule53)
pattern54 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule54 = ReplacementRule(pattern54, lambda p, m, c, e, x, a, d, n, b : Int(ExpandIntegrand(Cosh(c + d*x), (e*x)**m*(a + b*x**n)**p, x), x))
rubi.add(rule54)
pattern55 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, e: IntegerQ(n) | PositiveQ(e)))
rule55 = ReplacementRule(pattern55, lambda p, m, e, x, a, d, n, b, c : -d*e**m*Int((a + b*x**n)**(p + S(1))*Cosh(c + d*x), x)/(b*n*(p + S(1))) + e**m*(a + b*x**n)**(p + S(1))*sinh(c + d*x)/(b*n*(p + S(1))))
rubi.add(rule55)
pattern56 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, e: IntegerQ(n) | PositiveQ(e)))
rule56 = ReplacementRule(pattern56, lambda p, m, c, e, x, a, d, n, b : -d*e**m*Int((a + b*x**n)**(p + S(1))*sinh(c + d*x), x)/(b*n*(p + S(1))) + e**m*(a + b*x**n)**(p + S(1))*Cosh(c + d*x)/(b*n*(p + S(1))))
rubi.add(rule56)
pattern57 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, m: Greater(n, S(2)) | Greater(m - n + S(1), S(0))))
rule57 = ReplacementRule(pattern57, lambda p, m, x, a, d, n, b, c : -d*Int(x**(m - n + S(1))*(a + b*x**n)**(p + S(1))*Cosh(c + d*x), x)/(b*n*(p + S(1))) + x**(m - n + S(1))*(a + b*x**n)**(p + S(1))*sinh(c + d*x)/(b*n*(p + S(1))) - (m - n + S(1))*Int(x**(m - n)*(a + b*x**n)**(p + S(1))*sinh(c + d*x), x)/(b*n*(p + S(1))))
rubi.add(rule57)
pattern58 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, m: Greater(n, S(2)) | Greater(m - n + S(1), S(0))))
rule58 = ReplacementRule(pattern58, lambda p, m, c, x, a, d, n, b : -d*Int(x**(m - n + S(1))*(a + b*x**n)**(p + S(1))*sinh(c + d*x), x)/(b*n*(p + S(1))) + x**(m - n + S(1))*(a + b*x**n)**(p + S(1))*Cosh(c + d*x)/(b*n*(p + S(1))) - (m - n + S(1))*Int(x**(m - n)*(a + b*x**n)**(p + S(1))*Cosh(c + d*x), x)/(b*n*(p + S(1))))
rubi.add(rule58)
pattern59 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda m: IntegerQ(m)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, p: Equal(n, S(2)) | Equal(p, S(-1))))
rule59 = ReplacementRule(pattern59, lambda p, m, x, a, d, n, b, c : Int(ExpandIntegrand(sinh(c + d*x), x**m*(a + b*x**n)**p, x), x))
rubi.add(rule59)
pattern60 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda m: IntegerQ(m)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda n, p: Equal(n, S(2)) | Equal(p, S(-1))))
rule60 = ReplacementRule(pattern60, lambda p, m, c, x, a, d, n, b : Int(ExpandIntegrand(Cosh(c + d*x), x**m*(a + b*x**n)**p, x), x))
rubi.add(rule60)
pattern61 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule61 = ReplacementRule(pattern61, lambda p, m, x, a, d, n, b, c : Int(x**(m + n*p)*(a*x**(-n) + b)**p*sinh(c + d*x), x))
rubi.add(rule61)
pattern62 = Pattern(Integral(x_**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**p_*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: NegativeIntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule62 = ReplacementRule(pattern62, lambda p, m, c, x, a, d, n, b : Int(x**(m + n*p)*(a*x**(-n) + b)**p*Cosh(c + d*x), x))
rubi.add(rule62)
pattern63 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule63 = ReplacementRule(pattern63, lambda p, m, e, x, a, d, n, b, c : Int((e*x)**m*(a + b*x**n)**p*sinh(c + d*x), x))
rubi.add(rule63)
pattern64 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(a_ + x_**n_*WC('b', S(1)))**WC('p', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule64 = ReplacementRule(pattern64, lambda p, m, c, e, x, a, d, n, b : Int((e*x)**m*(a + b*x**n)**p*Cosh(c + d*x), x))
rubi.add(rule64)
pattern65 = Pattern(Integral(sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule65 = ReplacementRule(pattern65, lambda d, n, x, c : -Int(exp(-c - d*x**n), x)/S(2) + Int(exp(c + d*x**n), x)/S(2))
rubi.add(rule65)
pattern66 = Pattern(Integral(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule66 = ReplacementRule(pattern66, lambda d, n, x, c : Int(exp(-c - d*x**n), x)/S(2) + Int(exp(c + d*x**n), x)/S(2))
rubi.add(rule66)
pattern67 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, p: IntegersQ(n, p)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda p: Greater(p, S(1))))
rule67 = ReplacementRule(pattern67, lambda p, x, a, d, n, b, c : Int(ExpandTrigReduce((a + b*sinh(c + d*x**n))**p, x), x))
rubi.add(rule67)
pattern68 = Pattern(Integral((Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, p: IntegersQ(n, p)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda p: Greater(p, S(1))))
rule68 = ReplacementRule(pattern68, lambda p, x, a, d, n, b, c : Int(ExpandTrigReduce((a + b*Cosh(c + d*x**n))**p, x), x))
rubi.add(rule68)
pattern69 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule69 = ReplacementRule(pattern69, lambda p, x, a, d, n, b, c : -Subst(Int((a + b*sinh(c + d*x**(-n)))**p/x**S(2), x), x, 1/x))
rubi.add(rule69)
pattern70 = Pattern(Integral((Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule70 = ReplacementRule(pattern70, lambda p, x, a, d, n, b, c : -Subst(Int((a + b*Cosh(c + d*x**(-n)))**p/x**S(2), x), x, 1/x))
rubi.add(rule70)
pattern71 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)), )
def With71(p, x, a, d, n, b, c):
k = Denominator(n)
return k*Subst(Int(x**(k + S(-1))*(a + b*sinh(c + d*x**(k*n)))**p, x), x, x**(1/k))
rule71 = ReplacementRule(pattern71, lambda p, x, a, d, n, b, c : With71(p, x, a, d, n, b, c))
rubi.add(rule71)
pattern72 = Pattern(Integral((Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)), )
def With72(p, x, a, d, n, b, c):
k = Denominator(n)
return k*Subst(Int(x**(k + S(-1))*(a + b*Cosh(c + d*x**(k*n)))**p, x), x, x**(1/k))
rule72 = ReplacementRule(pattern72, lambda p, x, a, d, n, b, c : With72(p, x, a, d, n, b, c))
rubi.add(rule72)
pattern73 = Pattern(Integral(sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule73 = ReplacementRule(pattern73, lambda d, n, x, c : -Int(exp(-c - d*x**n), x)/S(2) + Int(exp(c + d*x**n), x)/S(2))
rubi.add(rule73)
pattern74 = Pattern(Integral(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule74 = ReplacementRule(pattern74, lambda d, n, x, c : Int(exp(-c - d*x**n), x)/S(2) + Int(exp(c + d*x**n), x)/S(2))
rubi.add(rule74)
pattern75 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule75 = ReplacementRule(pattern75, lambda p, x, a, d, n, b, c : Int(ExpandTrigReduce((a + b*sinh(c + d*x**n))**p, x), x))
rubi.add(rule75)
pattern76 = Pattern(Integral((Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule76 = ReplacementRule(pattern76, lambda p, x, a, d, n, b, c : Int(ExpandTrigReduce((a + b*Cosh(c + d*x**n))**p, x), x))
rubi.add(rule76)
pattern77 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule77 = ReplacementRule(pattern77, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*sinh(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule77)
pattern78 = Pattern(Integral((Cosh(u_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule78 = ReplacementRule(pattern78, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*Cosh(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule78)
pattern79 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(u_**n_*WC('d', S(1)) + WC('c', S(0))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)))
rule79 = ReplacementRule(pattern79, lambda p, x, a, d, n, u, b, c : Int((a + b*sinh(c + d*u**n))**p, x))
rubi.add(rule79)
pattern80 = Pattern(Integral((Cosh(u_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)))
rule80 = ReplacementRule(pattern80, lambda p, x, a, d, n, u, b, c : Int((a + b*Cosh(c + d*u**n))**p, x))
rubi.add(rule80)
pattern81 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sinh(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule81 = ReplacementRule(pattern81, lambda p, x, a, u, b : Int((a + b*sinh(ExpandToSum(u, x)))**p, x))
rubi.add(rule81)
pattern82 = Pattern(Integral((Cosh(u_)*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule82 = ReplacementRule(pattern82, lambda p, x, a, u, b : Int((a + b*Cosh(ExpandToSum(u, x)))**p, x))
rubi.add(rule82)
pattern83 = Pattern(Integral(sinh(x_**n_*WC('d', S(1)))/x_, x_), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule83 = ReplacementRule(pattern83, lambda d, n, x : SinhIntegral(d*x**n)/n)
rubi.add(rule83)
pattern84 = Pattern(Integral(Cosh(x_**n_*WC('d', S(1)))/x_, x_), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule84 = ReplacementRule(pattern84, lambda d, n, x : CoshIntegral(d*x**n)/n)
rubi.add(rule84)
pattern85 = Pattern(Integral(sinh(c_ + x_**n_*WC('d', S(1)))/x_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule85 = ReplacementRule(pattern85, lambda d, n, x, c : Cosh(c)*Int(sinh(d*x**n)/x, x) + Int(Cosh(d*x**n)/x, x)*sinh(c))
rubi.add(rule85)
pattern86 = Pattern(Integral(Cosh(c_ + x_**n_*WC('d', S(1)))/x_, x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule86 = ReplacementRule(pattern86, lambda d, n, x, c : Cosh(c)*Int(Cosh(d*x**n)/x, x) + Int(sinh(d*x**n)/x, x)*sinh(c))
rubi.add(rule86)
pattern87 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda d, p, b, c, x, mn, a, n: IntegerQ(mn) & (Equal(p, S(1)) | Greater(mn, S(0)))))
def With87(p, m, x, a, d, n, b, c):
mn = (m + S(1))/n
return Subst(Int(x**(mn + S(-1))*(a + b*sinh(c + d*x))**p, x), x, x**n)/n
rule87 = ReplacementRule(pattern87, lambda p, m, x, a, d, n, b, c : With87(p, m, x, a, d, n, b, c))
rubi.add(rule87)
pattern88 = Pattern(Integral(x_**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda d, p, b, c, x, mn, a, n: IntegerQ(mn) & (Equal(p, S(1)) | Greater(mn, S(0)))))
def With88(p, m, x, a, d, n, b, c):
mn = (m + S(1))/n
return Subst(Int(x**(mn + S(-1))*(a + b*Cosh(c + d*x))**p, x), x, x**n)/n
rule88 = ReplacementRule(pattern88, lambda p, m, x, a, d, n, b, c : With88(p, m, x, a, d, n, b, c))
rubi.add(rule88)
pattern89 = Pattern(Integral((e_*x_)**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda d, m, p, c, b, x, mn, e, a, n: IntegerQ(mn) & (Equal(p, S(1)) | Greater(mn, S(0)))))
def With89(p, m, e, x, a, d, n, b, c):
mn = (m + S(1))/n
return e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*sinh(c + d*x**n))**p, x)
rule89 = ReplacementRule(pattern89, lambda p, m, e, x, a, d, n, b, c : With89(p, m, e, x, a, d, n, b, c))
rubi.add(rule89)
pattern90 = Pattern(Integral((e_*x_)**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda d, m, p, c, b, x, mn, e, a, n: IntegerQ(mn) & (Equal(p, S(1)) | Greater(mn, S(0)))))
def With90(p, m, e, x, a, d, n, b, c):
mn = (m + S(1))/n
return e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*Cosh(c + d*x**n))**p, x)
rule90 = ReplacementRule(pattern90, lambda p, m, e, x, a, d, n, b, c : With90(p, m, e, x, a, d, n, b, c))
rubi.add(rule90)
pattern91 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n, m: Less(S(0), n, m + S(1))))
rule91 = ReplacementRule(pattern91, lambda m, e, x, d, n, c : -e**n*(m - n + S(1))*Int((e*x)**(m - n)*Cosh(c + d*x**n), x)/(d*n) + e**(n + S(-1))*(e*x)**(m - n + S(1))*Cosh(c + d*x**n)/(d*n))
rubi.add(rule91)
pattern92 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n, m: Less(S(0), n, m + S(1))))
rule92 = ReplacementRule(pattern92, lambda m, e, x, d, n, c : -e**n*(m - n + S(1))*Int((e*x)**(m - n)*sinh(c + d*x**n), x)/(d*n) + e**(n + S(-1))*(e*x)**(m - n + S(1))*sinh(c + d*x**n)/(d*n))
rubi.add(rule92)
pattern93 = Pattern(Integral((x_*WC('e', S(1)))**m_*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))))
rule93 = ReplacementRule(pattern93, lambda m, e, x, d, n, c : -d*e**(-n)*n*Int((e*x)**(m + n)*Cosh(c + d*x**n), x)/(m + S(1)) + (e*x)**(m + S(1))*sinh(c + d*x**n)/(e*(m + S(1))))
rubi.add(rule93)
pattern94 = Pattern(Integral((x_*WC('e', S(1)))**m_*Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))))
rule94 = ReplacementRule(pattern94, lambda m, e, x, d, n, c : -d*e**(-n)*n*Int((e*x)**(m + n)*sinh(c + d*x**n), x)/(m + S(1)) + (e*x)**(m + S(1))*Cosh(c + d*x**n)/(e*(m + S(1))))
rubi.add(rule94)
pattern95 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule95 = ReplacementRule(pattern95, lambda m, e, x, d, n, c : -Int((e*x)**m*exp(-c - d*x**n), x)/S(2) + Int((e*x)**m*exp(c + d*x**n), x)/S(2))
rubi.add(rule95)
pattern96 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule96 = ReplacementRule(pattern96, lambda m, e, x, d, n, c : Int((e*x)**m*exp(-c - d*x**n), x)/S(2) + Int((e*x)**m*exp(c + d*x**n), x)/S(2))
rubi.add(rule96)
pattern97 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, p: IntegersQ(n, p)), CustomConstraint(lambda n, m: ZeroQ(m + n)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n: NonzeroQ(n + S(-1))))
rule97 = ReplacementRule(pattern97, lambda p, m, x, a, n, b : b*n*p*Int(Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(-1)), x)/(n + S(-1)) - x**(-n + S(1))*sinh(a + b*x**n)**p/(n + S(-1)))
rubi.add(rule97)
pattern98 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, p: IntegersQ(n, p)), CustomConstraint(lambda n, m: ZeroQ(m + n)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n: NonzeroQ(n + S(-1))))
rule98 = ReplacementRule(pattern98, lambda p, m, x, a, n, b : b*n*p*Int(Cosh(a + b*x**n)**(p + S(-1))*sinh(a + b*x**n), x)/(n + S(-1)) - x**(-n + S(1))*Cosh(a + b*x**n)**p/(n + S(-1)))
rubi.add(rule98)
pattern99 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - S(2)*n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))))
rule99 = ReplacementRule(pattern99, lambda p, m, x, a, n, b : -(p + S(-1))*Int(x**m*sinh(a + b*x**n)**(p + S(-2)), x)/p + x**n*Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(-1))/(b*n*p) - sinh(a + b*x**n)**p/(b**S(2)*n*p**S(2)))
rubi.add(rule99)
pattern100 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - S(2)*n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))))
rule100 = ReplacementRule(pattern100, lambda p, m, x, a, n, b : (p + S(-1))*Int(x**m*Cosh(a + b*x**n)**(p + S(-2)), x)/p + x**n*Cosh(a + b*x**n)**(p + S(-1))*sinh(a + b*x**n)/(b*n*p) - Cosh(a + b*x**n)**p/(b**S(2)*n*p**S(2)))
rubi.add(rule100)
pattern101 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, m + S(1))))
rule101 = ReplacementRule(pattern101, lambda p, m, x, a, n, b : -(p + S(-1))*Int(x**m*sinh(a + b*x**n)**(p + S(-2)), x)/p + x**(m - n + S(1))*Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(-1))/(b*n*p) + x**(m - S(2)*n + S(1))*(-m + n + S(-1))*sinh(a + b*x**n)**p/(b**S(2)*n**S(2)*p**S(2)) + (m - S(2)*n + S(1))*(m - n + S(1))*Int(x**(m - S(2)*n)*sinh(a + b*x**n)**p, x)/(b**S(2)*n**S(2)*p**S(2)))
rubi.add(rule101)
pattern102 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, m + S(1))))
rule102 = ReplacementRule(pattern102, lambda p, m, x, a, n, b : (p + S(-1))*Int(x**m*Cosh(a + b*x**n)**(p + S(-2)), x)/p + x**(m - n + S(1))*Cosh(a + b*x**n)**(p + S(-1))*sinh(a + b*x**n)/(b*n*p) + x**(m - S(2)*n + S(1))*(-m + n + S(-1))*Cosh(a + b*x**n)**p/(b**S(2)*n**S(2)*p**S(2)) + (m - S(2)*n + S(1))*(m - n + S(1))*Int(x**(m - S(2)*n)*Cosh(a + b*x**n)**p, x)/(b**S(2)*n**S(2)*p**S(2)))
rubi.add(rule102)
pattern103 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, -m + S(1))), CustomConstraint(lambda n, m: NonzeroQ(m + n + S(1))))
rule103 = ReplacementRule(pattern103, lambda p, m, x, a, n, b : b**S(2)*n**S(2)*p**S(2)*Int(x**(m + S(2)*n)*sinh(a + b*x**n)**p, x)/((m + S(1))*(m + n + S(1))) + b**S(2)*n**S(2)*p*(p + S(-1))*Int(x**(m + S(2)*n)*sinh(a + b*x**n)**(p + S(-2)), x)/((m + S(1))*(m + n + S(1))) - b*n*p*x**(m + n + S(1))*Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(-1))/((m + S(1))*(m + n + S(1))) + x**(m + S(1))*sinh(a + b*x**n)**p/(m + S(1)))
rubi.add(rule103)
pattern104 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, -m + S(1))), CustomConstraint(lambda n, m: NonzeroQ(m + n + S(1))))
rule104 = ReplacementRule(pattern104, lambda p, m, x, a, n, b : b**S(2)*n**S(2)*p**S(2)*Int(x**(m + S(2)*n)*Cosh(a + b*x**n)**p, x)/((m + S(1))*(m + n + S(1))) - b**S(2)*n**S(2)*p*(p + S(-1))*Int(x**(m + S(2)*n)*Cosh(a + b*x**n)**(p + S(-2)), x)/((m + S(1))*(m + n + S(1))) - b*n*p*x**(m + n + S(1))*Cosh(a + b*x**n)**(p + S(-1))*sinh(a + b*x**n)/((m + S(1))*(m + n + S(1))) + x**(m + S(1))*Cosh(a + b*x**n)**p/(m + S(1)))
rubi.add(rule104)
pattern105 = Pattern(Integral((x_*WC('e', S(1)))**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: FractionQ(m)), )
def With105(p, m, e, x, a, d, n, b, c):
k = Denominator(m)
return k*Subst(Int(x**(k*(m + S(1)) + S(-1))*(a + b*sinh(c + d*e**(-n)*x**(k*n)))**p, x), x, (e*x)**(1/k))/e
rule105 = ReplacementRule(pattern105, lambda p, m, e, x, a, d, n, b, c : With105(p, m, e, x, a, d, n, b, c))
rubi.add(rule105)
pattern106 = Pattern(Integral((x_*WC('e', S(1)))**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda m: FractionQ(m)), )
def With106(p, m, e, x, a, d, n, b, c):
k = Denominator(m)
return k*Subst(Int(x**(k*(m + S(1)) + S(-1))*(a + b*Cosh(c + d*e**(-n)*x**(k*n)))**p, x), x, (e*x)**(1/k))/e
rule106 = ReplacementRule(pattern106, lambda p, m, e, x, a, d, n, b, c : With106(p, m, e, x, a, d, n, b, c))
rubi.add(rule106)
pattern107 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda p: Greater(p, S(1))))
rule107 = ReplacementRule(pattern107, lambda p, m, e, x, a, d, n, b, c : Int(ExpandTrigReduce((e*x)**m, (a + b*sinh(c + d*x**n))**p, x), x))
rubi.add(rule107)
pattern108 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda p: Greater(p, S(1))))
rule108 = ReplacementRule(pattern108, lambda p, m, e, x, a, d, n, b, c : Int(ExpandTrigReduce((e*x)**m, (a + b*Cosh(c + d*x**n))**p, x), x))
rubi.add(rule108)
pattern109 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - S(2)*n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))))
rule109 = ReplacementRule(pattern109, lambda p, m, x, a, n, b : -(p + S(2))*Int(x**m*sinh(a + b*x**n)**(p + S(2)), x)/(p + S(1)) + x**n*Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))) - sinh(a + b*x**n)**(p + S(2))/(b**S(2)*n*(p + S(1))*(p + S(2))))
rubi.add(rule109)
pattern110 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - S(2)*n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))))
rule110 = ReplacementRule(pattern110, lambda p, m, x, a, n, b : (p + S(2))*Int(x**m*Cosh(a + b*x**n)**(p + S(2)), x)/(p + S(1)) - x**n*Cosh(a + b*x**n)**(p + S(1))*sinh(a + b*x**n)/(b*n*(p + S(1))) + Cosh(a + b*x**n)**(p + S(2))/(b**S(2)*n*(p + S(1))*(p + S(2))))
rubi.add(rule110)
pattern111 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, m + S(1))))
rule111 = ReplacementRule(pattern111, lambda p, m, x, a, n, b : -(p + S(2))*Int(x**m*sinh(a + b*x**n)**(p + S(2)), x)/(p + S(1)) + x**(m - n + S(1))*Cosh(a + b*x**n)*sinh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))) - x**(m - S(2)*n + S(1))*(m - n + S(1))*sinh(a + b*x**n)**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) + (m - S(2)*n + S(1))*(m - n + S(1))*Int(x**(m - S(2)*n)*sinh(a + b*x**n)**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule111)
pattern112 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**n_*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda n, m: Less(S(0), S(2)*n, m + S(1))))
rule112 = ReplacementRule(pattern112, lambda p, m, x, a, n, b : (p + S(2))*Int(x**m*Cosh(a + b*x**n)**(p + S(2)), x)/(p + S(1)) - x**(m - n + S(1))*Cosh(a + b*x**n)**(p + S(1))*sinh(a + b*x**n)/(b*n*(p + S(1))) + x**(m - S(2)*n + S(1))*(m - n + S(1))*Cosh(a + b*x**n)**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) - (m - S(2)*n + S(1))*(m - n + S(1))*Int(x**(m - S(2)*n)*Cosh(a + b*x**n)**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule112)
pattern113 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: IntegerQ(m)))
rule113 = ReplacementRule(pattern113, lambda p, m, x, a, d, n, b, c : -Subst(Int(x**(-m + S(-2))*(a + b*sinh(c + d*x**(-n)))**p, x), x, 1/x))
rubi.add(rule113)
pattern114 = Pattern(Integral(x_**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: IntegerQ(m)))
rule114 = ReplacementRule(pattern114, lambda p, m, x, a, d, n, b, c : -Subst(Int(x**(-m + S(-2))*(a + b*Cosh(c + d*x**(-n)))**p, x), x, 1/x))
rubi.add(rule114)
pattern115 = Pattern(Integral((x_*WC('e', S(1)))**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: FractionQ(m)), )
def With115(p, m, e, x, a, d, n, b, c):
k = Denominator(m)
return -k*Subst(Int(x**(-k*(m + S(1)) + S(-1))*(a + b*sinh(c + d*e**(-n)*x**(-k*n)))**p, x), x, (e*x)**(-S(1)/k))/e
rule115 = ReplacementRule(pattern115, lambda p, m, e, x, a, d, n, b, c : With115(p, m, e, x, a, d, n, b, c))
rubi.add(rule115)
pattern116 = Pattern(Integral((x_*WC('e', S(1)))**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: FractionQ(m)), )
def With116(p, m, e, x, a, d, n, b, c):
k = Denominator(m)
return -k*Subst(Int(x**(-k*(m + S(1)) + S(-1))*(a + b*Cosh(c + d*e**(-n)*x**(-k*n)))**p, x), x, (e*x)**(-S(1)/k))/e
rule116 = ReplacementRule(pattern116, lambda p, m, e, x, a, d, n, b, c : With116(p, m, e, x, a, d, n, b, c))
rubi.add(rule116)
pattern117 = Pattern(Integral((x_*WC('e', S(1)))**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: Not(RationalQ(m))))
rule117 = ReplacementRule(pattern117, lambda p, m, e, x, a, d, n, b, c : -(e*x)**m*(1/x)**m*Subst(Int(x**(-m + S(-2))*(a + b*sinh(c + d*x**(-n)))**p, x), x, 1/x))
rubi.add(rule117)
pattern118 = Pattern(Integral((x_*WC('e', S(1)))**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: Not(RationalQ(m))))
rule118 = ReplacementRule(pattern118, lambda p, m, e, x, a, d, n, b, c : -(e*x)**m*(1/x)**m*Subst(Int(x**(-m + S(-2))*(a + b*Cosh(c + d*x**(-n)))**p, x), x, 1/x))
rubi.add(rule118)
pattern119 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)), )
def With119(p, m, x, a, d, n, b, c):
k = Denominator(n)
return k*Subst(Int(x**(k*(m + S(1)) + S(-1))*(a + b*sinh(c + d*x**(k*n)))**p, x), x, x**(1/k))
rule119 = ReplacementRule(pattern119, lambda p, m, x, a, d, n, b, c : With119(p, m, x, a, d, n, b, c))
rubi.add(rule119)
pattern120 = Pattern(Integral(x_**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)), )
def With120(p, m, x, a, d, n, b, c):
k = Denominator(n)
return k*Subst(Int(x**(k*(m + S(1)) + S(-1))*(a + b*Cosh(c + d*x**(k*n)))**p, x), x, x**(1/k))
rule120 = ReplacementRule(pattern120, lambda p, m, x, a, d, n, b, c : With120(p, m, x, a, d, n, b, c))
rubi.add(rule120)
pattern121 = Pattern(Integral((e_*x_)**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)))
rule121 = ReplacementRule(pattern121, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*sinh(c + d*x**n))**p, x))
rubi.add(rule121)
pattern122 = Pattern(Integral((e_*x_)**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda n: FractionQ(n)))
rule122 = ReplacementRule(pattern122, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*Cosh(c + d*x**n))**p, x))
rubi.add(rule122)
pattern123 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda n, m: PositiveIntegerQ(n/(m + S(1)))), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule123 = ReplacementRule(pattern123, lambda p, m, x, a, d, n, b, c : Subst(Int((a + b*sinh(c + d*x**(n/(m + S(1)))))**p, x), x, x**(m + S(1)))/(m + S(1)))
rubi.add(rule123)
pattern124 = Pattern(Integral(x_**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda n, m: PositiveIntegerQ(n/(m + S(1)))), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule124 = ReplacementRule(pattern124, lambda p, m, x, a, d, n, b, c : Subst(Int((a + b*Cosh(c + d*x**(n/(m + S(1)))))**p, x), x, x**(m + S(1)))/(m + S(1)))
rubi.add(rule124)
pattern125 = Pattern(Integral((e_*x_)**m_*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda n, m: PositiveIntegerQ(n/(m + S(1)))), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule125 = ReplacementRule(pattern125, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*sinh(c + d*x**n))**p, x))
rubi.add(rule125)
pattern126 = Pattern(Integral((e_*x_)**m_*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: IntegerQ(p)), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda n, m: PositiveIntegerQ(n/(m + S(1)))), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule126 = ReplacementRule(pattern126, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*Cosh(c + d*x**n))**p, x))
rubi.add(rule126)
pattern127 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule127 = ReplacementRule(pattern127, lambda m, e, x, d, n, c : -Int((e*x)**m*exp(-c - d*x**n), x)/S(2) + Int((e*x)**m*exp(c + d*x**n), x)/S(2))
rubi.add(rule127)
pattern128 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule128 = ReplacementRule(pattern128, lambda m, e, x, d, n, c : Int((e*x)**m*exp(-c - d*x**n), x)/S(2) + Int((e*x)**m*exp(c + d*x**n), x)/S(2))
rubi.add(rule128)
pattern129 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule129 = ReplacementRule(pattern129, lambda p, m, e, x, a, d, n, b, c : Int(ExpandTrigReduce((e*x)**m, (a + b*sinh(c + d*x**n))**p, x), x))
rubi.add(rule129)
pattern130 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(Cosh(x_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)))
rule130 = ReplacementRule(pattern130, lambda p, m, e, x, a, d, n, b, c : Int(ExpandTrigReduce((e*x)**m, (a + b*Cosh(c + d*x**n))**p, x), x))
rubi.add(rule130)
pattern131 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)), CustomConstraint(lambda m: IntegerQ(m)))
rule131 = ReplacementRule(pattern131, lambda p, m, x, a, d, n, b, u, c : Coefficient(u, x, S(1))**(-m + S(-1))*Subst(Int((a + b*sinh(c + d*x**n))**p*(x - Coefficient(u, x, S(0)))**m, x), x, u))
rubi.add(rule131)
pattern132 = Pattern(Integral(x_**WC('m', S(1))*(Cosh(u_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)), CustomConstraint(lambda m: IntegerQ(m)))
rule132 = ReplacementRule(pattern132, lambda p, m, x, a, d, n, b, u, c : Coefficient(u, x, S(1))**(-m + S(-1))*Subst(Int((a + b*Cosh(c + d*x**n))**p*(x - Coefficient(u, x, S(0)))**m, x), x, u))
rubi.add(rule132)
pattern133 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)))
rule133 = ReplacementRule(pattern133, lambda p, m, e, x, a, d, n, b, u, c : Int((e*x)**m*(a + b*sinh(c + d*u**n))**p, x))
rubi.add(rule133)
pattern134 = Pattern(Integral((x_*WC('e', S(1)))**WC('m', S(1))*(Cosh(u_**n_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)))
rule134 = ReplacementRule(pattern134, lambda p, m, e, x, a, d, n, b, u, c : Int((e*x)**m*(a + b*Cosh(c + d*u**n))**p, x))
rubi.add(rule134)
pattern135 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sinh(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule135 = ReplacementRule(pattern135, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*sinh(ExpandToSum(u, x)))**p, x))
rubi.add(rule135)
pattern136 = Pattern(Integral((e_*x_)**WC('m', S(1))*(Cosh(u_)*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule136 = ReplacementRule(pattern136, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*Cosh(ExpandToSum(u, x)))**p, x))
rubi.add(rule136)
pattern137 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))*sinh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule137 = ReplacementRule(pattern137, lambda p, m, x, a, n, b : sinh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))))
rubi.add(rule137)
pattern138 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sinh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule138 = ReplacementRule(pattern138, lambda p, m, x, a, n, b : Cosh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))))
rubi.add(rule138)
pattern139 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))*sinh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n, m: Less(S(0), n, m + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule139 = ReplacementRule(pattern139, lambda p, m, x, a, n, b : x**(m - n + S(1))*sinh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))) - (m - n + S(1))*Int(x**(m - n)*sinh(a + b*x**n)**(p + S(1)), x)/(b*n*(p + S(1))))
rubi.add(rule139)
pattern140 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sinh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n, m: Less(S(0), n, m + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule140 = ReplacementRule(pattern140, lambda p, m, x, a, n, b : x**(m - n + S(1))*Cosh(a + b*x**n)**(p + S(1))/(b*n*(p + S(1))) - (m - n + S(1))*Int(x**(m - n)*Cosh(a + b*x**n)**(p + S(1)), x)/(b*n*(p + S(1))))
rubi.add(rule140)
pattern141 = Pattern(Integral(sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)))
rule141 = ReplacementRule(pattern141, lambda c, b, x, a : -Int(exp(-a - b*x - c*x**S(2)), x)/S(2) + Int(exp(a + b*x + c*x**S(2)), x)/S(2))
rubi.add(rule141)
pattern142 = Pattern(Integral(Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)))
rule142 = ReplacementRule(pattern142, lambda c, b, x, a : Int(exp(-a - b*x - c*x**S(2)), x)/S(2) + Int(exp(a + b*x + c*x**S(2)), x)/S(2))
rubi.add(rule142)
pattern143 = Pattern(Integral(sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule143 = ReplacementRule(pattern143, lambda x, a, n, b, c : Int(ExpandTrigReduce(sinh(a + b*x + c*x**S(2))**n, x), x))
rubi.add(rule143)
pattern144 = Pattern(Integral(Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule144 = ReplacementRule(pattern144, lambda x, a, n, b, c : Int(ExpandTrigReduce(Cosh(a + b*x + c*x**S(2))**n, x), x))
rubi.add(rule144)
pattern145 = Pattern(Integral(sinh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda v, x: QuadraticQ(v, x)), CustomConstraint(lambda v, x: Not(QuadraticMatchQ(v, x))))
rule145 = ReplacementRule(pattern145, lambda n, v, x : Int(sinh(ExpandToSum(v, x))**n, x))
rubi.add(rule145)
pattern146 = Pattern(Integral(Cosh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda v, x: QuadraticQ(v, x)), CustomConstraint(lambda v, x: Not(QuadraticMatchQ(v, x))))
rule146 = ReplacementRule(pattern146, lambda n, v, x : Int(Cosh(ExpandToSum(v, x))**n, x))
rubi.add(rule146)
pattern147 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule147 = ReplacementRule(pattern147, lambda e, x, a, d, b, c : e*Cosh(a + b*x + c*x**S(2))/(S(2)*c))
rubi.add(rule147)
pattern148 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule148 = ReplacementRule(pattern148, lambda e, x, a, d, b, c : e*sinh(a + b*x + c*x**S(2))/(S(2)*c))
rubi.add(rule148)
pattern149 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule149 = ReplacementRule(pattern149, lambda e, x, a, d, b, c : e*Cosh(a + b*x + c*x**S(2))/(S(2)*c) - (b*e - S(2)*c*d)*Int(sinh(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule149)
pattern150 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule150 = ReplacementRule(pattern150, lambda e, x, a, d, b, c : e*sinh(a + b*x + c*x**S(2))/(S(2)*c) - (b*e - S(2)*c*d)*Int(Cosh(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule150)
pattern151 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(1))), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule151 = ReplacementRule(pattern151, lambda m, e, x, a, d, b, c : -e**S(2)*(m + S(-1))*Int((d + e*x)**(m + S(-2))*Cosh(a + b*x + c*x**S(2)), x)/(S(2)*c) + e*(d + e*x)**(m + S(-1))*Cosh(a + b*x + c*x**S(2))/(S(2)*c))
rubi.add(rule151)
pattern152 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(1))), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule152 = ReplacementRule(pattern152, lambda m, e, x, a, d, b, c : -e**S(2)*(m + S(-1))*Int((d + e*x)**(m + S(-2))*sinh(a + b*x + c*x**S(2)), x)/(S(2)*c) + e*(d + e*x)**(m + S(-1))*sinh(a + b*x + c*x**S(2))/(S(2)*c))
rubi.add(rule152)
pattern153 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(1))), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule153 = ReplacementRule(pattern153, lambda m, e, x, a, d, b, c : -e**S(2)*(m + S(-1))*Int((d + e*x)**(m + S(-2))*Cosh(a + b*x + c*x**S(2)), x)/(S(2)*c) + e*(d + e*x)**(m + S(-1))*Cosh(a + b*x + c*x**S(2))/(S(2)*c) - (b*e - S(2)*c*d)*Int((d + e*x)**(m + S(-1))*sinh(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule153)
pattern154 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(1))), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule154 = ReplacementRule(pattern154, lambda m, e, x, a, d, b, c : -e**S(2)*(m + S(-1))*Int((d + e*x)**(m + S(-2))*sinh(a + b*x + c*x**S(2)), x)/(S(2)*c) + e*(d + e*x)**(m + S(-1))*sinh(a + b*x + c*x**S(2))/(S(2)*c) - (b*e - S(2)*c*d)*Int((d + e*x)**(m + S(-1))*Cosh(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule154)
pattern155 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule155 = ReplacementRule(pattern155, lambda m, e, x, a, d, b, c : -S(2)*c*Int((d + e*x)**(m + S(2))*Cosh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))) + (d + e*x)**(m + S(1))*sinh(a + b*x + c*x**S(2))/(e*(m + S(1))))
rubi.add(rule155)
pattern156 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda d, c, e, b: ZeroQ(b*e - S(2)*c*d)))
rule156 = ReplacementRule(pattern156, lambda m, e, x, a, d, b, c : -S(2)*c*Int((d + e*x)**(m + S(2))*sinh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))) + (d + e*x)**(m + S(1))*Cosh(a + b*x + c*x**S(2))/(e*(m + S(1))))
rubi.add(rule156)
pattern157 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule157 = ReplacementRule(pattern157, lambda m, e, x, a, d, b, c : -S(2)*c*Int((d + e*x)**(m + S(2))*Cosh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))) + (d + e*x)**(m + S(1))*sinh(a + b*x + c*x**S(2))/(e*(m + S(1))) - (b*e - S(2)*c*d)*Int((d + e*x)**(m + S(1))*Cosh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))))
rubi.add(rule157)
pattern158 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**m_*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda d, c, e, b: NonzeroQ(b*e - S(2)*c*d)))
rule158 = ReplacementRule(pattern158, lambda m, e, x, a, d, b, c : -S(2)*c*Int((d + e*x)**(m + S(2))*sinh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))) + (d + e*x)**(m + S(1))*Cosh(a + b*x + c*x**S(2))/(e*(m + S(1))) - (b*e - S(2)*c*d)*Int((d + e*x)**(m + S(1))*sinh(a + b*x + c*x**S(2)), x)/(e**S(2)*(m + S(1))))
rubi.add(rule158)
pattern159 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)))
rule159 = ReplacementRule(pattern159, lambda m, c, e, x, a, d, b : Int((d + e*x)**m*sinh(a + b*x + c*x**S(2)), x))
rubi.add(rule159)
pattern160 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)))
rule160 = ReplacementRule(pattern160, lambda m, e, x, a, d, b, c : Int((d + e*x)**m*Cosh(a + b*x + c*x**S(2)), x))
rubi.add(rule160)
pattern161 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*sinh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule161 = ReplacementRule(pattern161, lambda m, c, e, x, a, d, n, b : Int(ExpandTrigReduce((d + e*x)**m, sinh(a + b*x + c*x**S(2))**n, x), x))
rubi.add(rule161)
pattern162 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*Cosh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule162 = ReplacementRule(pattern162, lambda m, e, x, a, d, n, b, c : Int(ExpandTrigReduce((d + e*x)**m, Cosh(a + b*x + c*x**S(2))**n, x), x))
rubi.add(rule162)
pattern163 = Pattern(Integral(u_**WC('m', S(1))*sinh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda v, x: QuadraticQ(v, x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(u, x) & QuadraticMatchQ(v, x))))
rule163 = ReplacementRule(pattern163, lambda m, x, n, v, u : Int(ExpandToSum(u, x)**m*sinh(ExpandToSum(v, x))**n, x))
rubi.add(rule163)
pattern164 = Pattern(Integral(u_**WC('m', S(1))*Cosh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda v, x: QuadraticQ(v, x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(u, x) & QuadraticMatchQ(v, x))))
rule164 = ReplacementRule(pattern164, lambda m, x, n, v, u : Int(Cosh(ExpandToSum(v, x))**n*ExpandToSum(u, x)**m, x))
rubi.add(rule164)
pattern165 = Pattern(Integral((x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule165 = ReplacementRule(pattern165, lambda m, e, x, f, a, b : S(2)*Int((a + b*x)**m*exp(S(2)*e + S(2)*f*x)/(exp(S(2)*e + S(2)*f*x) + S(1)), x) - (a + b*x)**(m + S(1))/(b*(m + S(1))))
rubi.add(rule165)
pattern166 = Pattern(Integral((x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule166 = ReplacementRule(pattern166, lambda m, e, x, a, f, b : -S(2)*Int((a + b*x)**m*exp(S(2)*e + S(2)*f*x)/(-exp(S(2)*e + S(2)*f*x) + S(1)), x) - (a + b*x)**(m + S(1))/(b*(m + S(1))))
rubi.add(rule166)
pattern167 = Pattern(Integral((WC('c', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Greater(m, S(0))))
rule167 = ReplacementRule(pattern167, lambda m, e, x, a, f, n, b, c : b*c*m*Int((c*tanh(e + f*x))**(n + S(-1))*(a + b*x)**(m + S(-1)), x)/(f*(n + S(-1))) + c**S(2)*Int((c*tanh(e + f*x))**(n + S(-2))*(a + b*x)**m, x) - c*(c*tanh(e + f*x))**(n + S(-1))*(a + b*x)**m/(f*(n + S(-1))))
rubi.add(rule167)
pattern168 = Pattern(Integral((WC('c', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda m: Greater(m, S(0))))
rule168 = ReplacementRule(pattern168, lambda m, c, e, x, a, f, n, b : b*c*m*Int((c*coth(e + f*x))**(n + S(-1))*(a + b*x)**(m + S(-1)), x)/(f*(n + S(-1))) + c**S(2)*Int((c*coth(e + f*x))**(n + S(-2))*(a + b*x)**m, x) - c*(c*coth(e + f*x))**(n + S(-1))*(a + b*x)**m/(f*(n + S(-1))))
rubi.add(rule168)
pattern169 = Pattern(Integral((WC('c', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda m: Greater(m, S(0))))
rule169 = ReplacementRule(pattern169, lambda m, e, x, a, f, n, b, c : -b*m*Int((c*tanh(e + f*x))**(n + S(1))*(a + b*x)**(m + S(-1)), x)/(c*f*(n + S(1))) + (c*tanh(e + f*x))**(n + S(1))*(a + b*x)**m/(c*f*(n + S(1))) + Int((c*tanh(e + f*x))**(n + S(2))*(a + b*x)**m, x)/c**S(2))
rubi.add(rule169)
pattern170 = Pattern(Integral((WC('c', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda m: Greater(m, S(0))))
rule170 = ReplacementRule(pattern170, lambda m, c, e, x, a, f, n, b : -b*m*Int((c*coth(e + f*x))**(n + S(1))*(a + b*x)**(m + S(-1)), x)/(c*f*(n + S(1))) + (c*coth(e + f*x))**(n + S(1))*(a + b*x)**m/(c*f*(n + S(1))) + Int((c*coth(e + f*x))**(n + S(2))*(a + b*x)**m, x)/c**S(2))
rubi.add(rule170)
pattern171 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule171 = ReplacementRule(pattern171, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (a + b*tanh(e + f*x))**n, x), x))
rubi.add(rule171)
pattern172 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule172 = ReplacementRule(pattern172, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (a + b*coth(e + f*x))**n, x), x))
rubi.add(rule172)
pattern173 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule173 = ReplacementRule(pattern173, lambda m, c, e, x, f, d, a, b : a*d*m*Int((c + d*x)**(m + S(-1))/(a + b*tanh(e + f*x)), x)/(S(2)*b*f) - a*(c + d*x)**m/(S(2)*b*f*(a + b*tanh(e + f*x))) + (c + d*x)**(m + S(1))/(S(2)*a*d*(m + S(1))))
rubi.add(rule173)
pattern174 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule174 = ReplacementRule(pattern174, lambda m, e, x, f, d, a, b, c : a*d*m*Int((c + d*x)**(m + S(-1))/(a + b*coth(e + f*x)), x)/(S(2)*b*f) - a*(c + d*x)**m/(S(2)*b*f*(a + b*coth(e + f*x))) + (c + d*x)**(m + S(1))/(S(2)*a*d*(m + S(1))))
rubi.add(rule174)
pattern175 = Pattern(Integral(S(1)/((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))*(x_*WC('d', S(1)) + WC('c', S(0)))**S(2)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule175 = ReplacementRule(pattern175, lambda c, e, x, f, d, a, b : -S(1)/(d*(a + b*tanh(e + f*x))*(c + d*x)) - f*Int(Cosh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(b*d) + f*Int(sinh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(a*d))
rubi.add(rule175)
pattern176 = Pattern(Integral(S(1)/((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))*(x_*WC('d', S(1)) + WC('c', S(0)))**S(2)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule176 = ReplacementRule(pattern176, lambda e, x, f, d, a, b, c : -S(1)/(d*(a + b*coth(e + f*x))*(c + d*x)) + f*Int(Cosh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(b*d) - f*Int(sinh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(a*d))
rubi.add(rule176)
pattern177 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_/(a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda m: Unequal(m, S(-2))))
rule177 = ReplacementRule(pattern177, lambda m, c, e, x, f, d, a, b : (c + d*x)**(m + S(1))/(d*(a + b*tanh(e + f*x))*(m + S(1))) - f*(c + d*x)**(m + S(2))/(b*d**S(2)*(m + S(1))*(m + S(2))) + S(2)*b*f*Int((c + d*x)**(m + S(1))/(a + b*tanh(e + f*x)), x)/(a*d*(m + S(1))))
rubi.add(rule177)
pattern178 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_/(a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Less(m, S(-1))), CustomConstraint(lambda m: Unequal(m, S(-2))))
rule178 = ReplacementRule(pattern178, lambda m, e, x, f, d, a, b, c : (c + d*x)**(m + S(1))/(d*(a + b*coth(e + f*x))*(m + S(1))) - f*(c + d*x)**(m + S(2))/(b*d**S(2)*(m + S(1))*(m + S(2))) + S(2)*b*f*Int((c + d*x)**(m + S(1))/(a + b*coth(e + f*x)), x)/(a*d*(m + S(1))))
rubi.add(rule178)
pattern179 = Pattern(Integral(S(1)/((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))*(x_*WC('d', S(1)) + WC('c', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule179 = ReplacementRule(pattern179, lambda c, e, x, f, d, a, b : -Int(sinh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(S(2)*b) + Int(Cosh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(S(2)*a) + log(c + d*x)/(S(2)*a*d))
rubi.add(rule179)
pattern180 = Pattern(Integral(S(1)/((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))*(x_*WC('d', S(1)) + WC('c', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule180 = ReplacementRule(pattern180, lambda e, x, f, d, a, b, c : Int(sinh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(S(2)*b) - Int(Cosh(S(2)*e + S(2)*f*x)/(c + d*x), x)/(S(2)*a) + log(c + d*x)/(S(2)*a*d))
rubi.add(rule180)
pattern181 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_/(a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: Not(IntegerQ(m))))
rule181 = ReplacementRule(pattern181, lambda m, c, e, x, f, d, a, b : Int((c + d*x)**m*exp(-S(2)*a*(e + f*x)/b), x)/(S(2)*a) + (c + d*x)**(m + S(1))/(S(2)*a*d*(m + S(1))))
rubi.add(rule181)
pattern182 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_/(a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: Not(IntegerQ(m))))
rule182 = ReplacementRule(pattern182, lambda m, e, x, f, d, a, b, c : -Int((c + d*x)**m*exp(-S(2)*a*(e + f*x)/b), x)/(S(2)*a) + (c + d*x)**(m + S(1))/(S(2)*a*d*(m + S(1))))
rubi.add(rule182)
pattern183 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n, m: NegativeIntegerQ(m, n)))
rule183 = ReplacementRule(pattern183, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (-sinh(S(2)*e + S(2)*f*x)/(S(2)*b) + Cosh(S(2)*e + S(2)*f*x)/(S(2)*a) + S(1)/(S(2)*a))**(-n), x), x))
rubi.add(rule183)
pattern184 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n, m: NegativeIntegerQ(m, n)))
rule184 = ReplacementRule(pattern184, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (sinh(S(2)*e + S(2)*f*x)/(S(2)*b) - Cosh(S(2)*e + S(2)*f*x)/(S(2)*a) + S(1)/(S(2)*a))**(-n), x), x))
rubi.add(rule184)
pattern185 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule185 = ReplacementRule(pattern185, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (S(1)/(S(2)*a) + exp(-S(2)*a*(e + f*x)/b)/(S(2)*a))**(-n), x), x))
rubi.add(rule185)
pattern186 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**m_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule186 = ReplacementRule(pattern186, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (S(1)/(S(2)*a) - exp(-S(2)*a*(e + f*x)/b)/(S(2)*a))**(-n), x), x))
rubi.add(rule186)
pattern187 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n + S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))), )
def With187(m, c, e, x, f, d, a, n, b):
u = IntHide((a + b*tanh(e + f*x))**n, x)
return -d*m*Int(Dist((c + d*x)**(m + S(-1)), u, x), x) + Dist((c + d*x)**m, u, x)
rule187 = ReplacementRule(pattern187, lambda m, c, e, x, f, d, a, n, b : With187(m, c, e, x, f, d, a, n, b))
rubi.add(rule187)
pattern188 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n + S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))), )
def With188(m, e, x, f, d, a, n, b, c):
u = IntHide((a + b*coth(e + f*x))**n, x)
return -d*m*Int(Dist((c + d*x)**(m + S(-1)), u, x), x) + Dist((c + d*x)**m, u, x)
rule188 = ReplacementRule(pattern188, lambda m, e, x, f, d, a, n, b, c : With188(m, e, x, f, d, a, n, b, c))
rubi.add(rule188)
pattern189 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule189 = ReplacementRule(pattern189, lambda m, c, e, x, f, d, a, b : -S(2)*b*Int((c + d*x)**m/(a**S(2) - b**S(2) + (a - b)**S(2)*exp(-S(2)*e - S(2)*f*x)), x) + (c + d*x)**(m + S(1))/(d*(a - b)*(m + S(1))))
rubi.add(rule189)
pattern190 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))/(a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule190 = ReplacementRule(pattern190, lambda m, e, x, f, d, a, b, c : S(2)*b*Int((c + d*x)**m/(a**S(2) - b**S(2) - (a + b)**S(2)*exp(S(2)*e + S(2)*f*x)), x) + (c + d*x)**(m + S(1))/(d*(a + b)*(m + S(1))))
rubi.add(rule190)
pattern191 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))/(a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))))
rule191 = ReplacementRule(pattern191, lambda c, e, x, f, d, a, b : b*(c + d*x)/(f*(a + b*tanh(e + f*x))*(a**S(2) - b**S(2))) - Int((-S(2)*a*c*f - S(2)*a*d*f*x + b*d)/(a + b*tanh(e + f*x)), x)/(f*(a**S(2) - b**S(2))) - (c + d*x)**S(2)/(S(2)*d*(a**S(2) - b**S(2))))
rubi.add(rule191)
pattern192 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))/(a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))))
rule192 = ReplacementRule(pattern192, lambda e, x, f, d, a, b, c : b*(c + d*x)/(f*(a + b*coth(e + f*x))*(a**S(2) - b**S(2))) - Int((-S(2)*a*c*f - S(2)*a*d*f*x + b*d)/(a + b*coth(e + f*x)), x)/(f*(a**S(2) - b**S(2))) - (c + d*x)**S(2)/(S(2)*d*(a**S(2) - b**S(2))))
rubi.add(rule192)
pattern193 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule193 = ReplacementRule(pattern193, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (-S(2)*b/(a**S(2) - b**S(2) + (a - b)**S(2)*exp(-S(2)*e - S(2)*f*x)) + 1/(a - b))**(-n), x), x))
rubi.add(rule193)
pattern194 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**n_*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule194 = ReplacementRule(pattern194, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (S(2)*b/(a**S(2) - b**S(2) - (a + b)**S(2)*exp(S(2)*e + S(2)*f*x)) + 1/(a + b))**(-n), x), x))
rubi.add(rule194)
pattern195 = Pattern(Integral(u_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(v_))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule195 = ReplacementRule(pattern195, lambda m, x, a, n, v, u, b : Int((a + b*tanh(ExpandToSum(v, x)))**n*ExpandToSum(u, x)**m, x))
rubi.add(rule195)
pattern196 = Pattern(Integral(u_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(v_))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule196 = ReplacementRule(pattern196, lambda m, x, a, n, v, u, b : Int((a + b*coth(ExpandToSum(v, x)))**n*ExpandToSum(u, x)**m, x))
rubi.add(rule196)
pattern197 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule197 = ReplacementRule(pattern197, lambda m, c, e, x, a, d, f, n, b : Int((a + b*tanh(e + f*x))**n*(c + d*x)**m, x))
rubi.add(rule197)
pattern198 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule198 = ReplacementRule(pattern198, lambda m, c, e, x, f, a, d, n, b : Int((a + b*coth(e + f*x))**n*(c + d*x)**m, x))
rubi.add(rule198)
pattern199 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n: PositiveIntegerQ(1/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule199 = ReplacementRule(pattern199, lambda p, x, a, d, n, b, c : Subst(Int(x**(S(-1) + 1/n)*(a + b*tanh(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule199)
pattern200 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n: PositiveIntegerQ(1/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule200 = ReplacementRule(pattern200, lambda p, x, a, d, n, b, c : Subst(Int(x**(S(-1) + 1/n)*(a + b*coth(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule200)
pattern201 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule201 = ReplacementRule(pattern201, lambda p, x, a, d, n, b, c : Int((a + b*tanh(c + d*x**n))**p, x))
rubi.add(rule201)
pattern202 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule202 = ReplacementRule(pattern202, lambda p, x, a, d, n, b, c : Int((a + b*coth(c + d*x**n))**p, x))
rubi.add(rule202)
pattern203 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*tanh(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule203 = ReplacementRule(pattern203, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*tanh(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule203)
pattern204 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*coth(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule204 = ReplacementRule(pattern204, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*coth(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule204)
pattern205 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*tanh(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule205 = ReplacementRule(pattern205, lambda p, x, a, u, b : Int((a + b*tanh(ExpandToSum(u, x)))**p, x))
rubi.add(rule205)
pattern206 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*coth(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule206 = ReplacementRule(pattern206, lambda p, x, a, u, b : Int((a + b*coth(ExpandToSum(u, x)))**p, x))
rubi.add(rule206)
pattern207 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: PositiveIntegerQ((m + S(1))/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule207 = ReplacementRule(pattern207, lambda p, m, x, a, d, n, b, c : Subst(Int(x**(S(-1) + (m + S(1))/n)*(a + b*tanh(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule207)
pattern208 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: PositiveIntegerQ((m + S(1))/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule208 = ReplacementRule(pattern208, lambda p, m, x, a, d, n, b, c : Subst(Int(x**(S(-1) + (m + S(1))/n)*(a + b*coth(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule208)
pattern209 = Pattern(Integral(x_**WC('m', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0)))**S(2), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule209 = ReplacementRule(pattern209, lambda m, x, d, n, c : Int(x**m, x) - x**(m - n + S(1))*tanh(c + d*x**n)/(d*n) + (m - n + S(1))*Int(x**(m - n)*tanh(c + d*x**n), x)/(d*n))
rubi.add(rule209)
pattern210 = Pattern(Integral(x_**WC('m', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0)))**S(2), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule210 = ReplacementRule(pattern210, lambda m, x, d, n, c : Int(x**m, x) - x**(m - n + S(1))*coth(c + d*x**n)/(d*n) + (m - n + S(1))*Int(x**(m - n)*coth(c + d*x**n), x)/(d*n))
rubi.add(rule210)
pattern211 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule211 = ReplacementRule(pattern211, lambda p, m, x, a, d, n, b, c : Int(x**m*(a + b*tanh(c + d*x**n))**p, x))
rubi.add(rule211)
pattern212 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule212 = ReplacementRule(pattern212, lambda p, m, x, a, d, n, b, c : Int(x**m*(a + b*coth(c + d*x**n))**p, x))
rubi.add(rule212)
pattern213 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule213 = ReplacementRule(pattern213, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*tanh(c + d*x**n))**p, x))
rubi.add(rule213)
pattern214 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule214 = ReplacementRule(pattern214, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*coth(c + d*x**n))**p, x))
rubi.add(rule214)
pattern215 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*tanh(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule215 = ReplacementRule(pattern215, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*tanh(ExpandToSum(u, x)))**p, x))
rubi.add(rule215)
pattern216 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*coth(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule216 = ReplacementRule(pattern216, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*coth(ExpandToSum(u, x)))**p, x))
rubi.add(rule216)
pattern217 = Pattern(Integral(x_**WC('m', S(1))*tanh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('q', S(1))*sech(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n, m: GreaterEqual(m - n, S(0))), CustomConstraint(lambda q: SameQ(q, S(1))))
rule217 = ReplacementRule(pattern217, lambda p, m, x, a, n, q, b : -x**(m - n + S(1))*sech(a + b*x**n)**p/(b*n*p) + (m - n + S(1))*Int(x**(m - n)*sech(a + b*x**n)**p, x)/(b*n*p))
rubi.add(rule217)
pattern218 = Pattern(Integral(x_**WC('m', S(1))*coth(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('q', S(1))*csch(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n, m: GreaterEqual(m - n, S(0))), CustomConstraint(lambda q: SameQ(q, S(1))))
rule218 = ReplacementRule(pattern218, lambda p, m, x, a, n, q, b : -x**(m - n + S(1))*csch(a + b*x**n)**p/(b*n*p) + (m - n + S(1))*Int(x**(m - n)*csch(a + b*x**n)**p, x)/(b*n*p))
rubi.add(rule218)
pattern219 = Pattern(Integral(tanh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule219 = ReplacementRule(pattern219, lambda x, a, n, b, c : Int(tanh(a + b*x + c*x**S(2))**n, x))
rubi.add(rule219)
pattern220 = Pattern(Integral(coth(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule220 = ReplacementRule(pattern220, lambda x, a, n, b, c : Int(coth(a + b*x + c*x**S(2))**n, x))
rubi.add(rule220)
pattern221 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*tanh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)))
rule221 = ReplacementRule(pattern221, lambda e, x, a, d, b, c : e*log(Cosh(a + b*x + c*x**S(2)))/(S(2)*c) + (-b*e + S(2)*c*d)*Int(tanh(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule221)
pattern222 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))*coth(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)))
rule222 = ReplacementRule(pattern222, lambda e, x, a, d, b, c : e*log(sinh(a + b*x + c*x**S(2)))/(S(2)*c) + (-b*e + S(2)*c*d)*Int(coth(a + b*x + c*x**S(2)), x)/(S(2)*c))
rubi.add(rule222)
pattern223 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*tanh(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule223 = ReplacementRule(pattern223, lambda m, c, e, x, a, d, n, b : Int((d + e*x)**m*tanh(a + b*x + c*x**S(2))**n, x))
rubi.add(rule223)
pattern224 = Pattern(Integral((x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1))*coth(x_**S(2)*WC('c', S(1)) + x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule224 = ReplacementRule(pattern224, lambda m, e, x, a, d, n, b, c : Int((d + e*x)**m*coth(a + b*x + c*x**S(2))**n, x))
rubi.add(rule224)
pattern225 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule225 = ReplacementRule(pattern225, lambda m, c, x, a, d, b : -ImaginaryI*d*m*Int((c + d*x)**(m + S(-1))*log(-ImaginaryI*exp(a + b*x) + S(1)), x)/b + ImaginaryI*d*m*Int((c + d*x)**(m + S(-1))*log(ImaginaryI*exp(a + b*x) + S(1)), x)/b + S(2)*(c + d*x)**m*ArcTan(exp(a + b*x))/b)
rubi.add(rule225)
pattern226 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule226 = ReplacementRule(pattern226, lambda m, x, a, d, b, c : -d*m*Int((c + d*x)**(m + S(-1))*log(-exp(a + b*x) + S(1)), x)/b + d*m*Int((c + d*x)**(m + S(-1))*log(exp(a + b*x) + S(1)), x)/b - S(2)*(c + d*x)**m*atanh(exp(a + b*x))/b)
rubi.add(rule226)
pattern227 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule227 = ReplacementRule(pattern227, lambda m, c, x, a, d, b : -d*m*Int((c + d*x)**(m + S(-1))*tanh(a + b*x), x)/b + (c + d*x)**m*tanh(a + b*x)/b)
rubi.add(rule227)
pattern228 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule228 = ReplacementRule(pattern228, lambda m, x, a, d, b, c : d*m*Int((c + d*x)**(m + S(-1))*coth(a + b*x), x)/b - (c + d*x)**m*coth(a + b*x)/b)
rubi.add(rule228)
pattern229 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))))
rule229 = ReplacementRule(pattern229, lambda c, x, a, d, n, b : (n + S(-2))*Int((c + d*x)*sech(a + b*x)**(n + S(-2)), x)/(n + S(-1)) + (c + d*x)*tanh(a + b*x)*sech(a + b*x)**(n + S(-2))/(b*(n + S(-1))) + d*sech(a + b*x)**(n + S(-2))/(b**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule229)
pattern230 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))))
rule230 = ReplacementRule(pattern230, lambda x, a, d, n, b, c : -(n + S(-2))*Int((c + d*x)*csch(a + b*x)**(n + S(-2)), x)/(n + S(-1)) + (-c - d*x)*coth(a + b*x)*csch(a + b*x)**(n + S(-2))/(b*(n + S(-1))) - d*csch(a + b*x)**(n + S(-2))/(b**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule230)
pattern231 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*sech(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))), CustomConstraint(lambda m: Greater(m, S(1))))
rule231 = ReplacementRule(pattern231, lambda m, c, x, a, d, n, b : (n + S(-2))*Int((c + d*x)**m*sech(a + b*x)**(n + S(-2)), x)/(n + S(-1)) + (c + d*x)**m*tanh(a + b*x)*sech(a + b*x)**(n + S(-2))/(b*(n + S(-1))) - d**S(2)*m*(m + S(-1))*Int((c + d*x)**(m + S(-2))*sech(a + b*x)**(n + S(-2)), x)/(b**S(2)*(n + S(-2))*(n + S(-1))) + d*m*(c + d*x)**(m + S(-1))*sech(a + b*x)**(n + S(-2))/(b**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule231)
pattern232 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*csch(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))), CustomConstraint(lambda m: Greater(m, S(1))))
rule232 = ReplacementRule(pattern232, lambda m, x, a, d, n, b, c : -(n + S(-2))*Int((c + d*x)**m*csch(a + b*x)**(n + S(-2)), x)/(n + S(-1)) - (c + d*x)**m*coth(a + b*x)*csch(a + b*x)**(n + S(-2))/(b*(n + S(-1))) + d**S(2)*m*(m + S(-1))*Int((c + d*x)**(m + S(-2))*csch(a + b*x)**(n + S(-2)), x)/(b**S(2)*(n + S(-2))*(n + S(-1))) - d*m*(c + d*x)**(m + S(-1))*csch(a + b*x)**(n + S(-2))/(b**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule232)
pattern233 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))))
rule233 = ReplacementRule(pattern233, lambda c, x, a, d, n, b : (n + S(1))*Int((c + d*x)*sech(a + b*x)**(n + S(2)), x)/n - (c + d*x)*sinh(a + b*x)*sech(a + b*x)**(n + S(1))/(b*n) - d*sech(a + b*x)**n/(b**S(2)*n**S(2)))
rubi.add(rule233)
pattern234 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))))
rule234 = ReplacementRule(pattern234, lambda x, a, d, n, b, c : -(n + S(1))*Int((c + d*x)*csch(a + b*x)**(n + S(2)), x)/n - (c + d*x)*Cosh(a + b*x)*csch(a + b*x)**(n + S(1))/(b*n) - d*csch(a + b*x)**n/(b**S(2)*n**S(2)))
rubi.add(rule234)
pattern235 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*sech(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda m: Greater(m, S(1))))
rule235 = ReplacementRule(pattern235, lambda m, c, x, a, d, n, b : (n + S(1))*Int((c + d*x)**m*sech(a + b*x)**(n + S(2)), x)/n - (c + d*x)**m*sinh(a + b*x)*sech(a + b*x)**(n + S(1))/(b*n) + d**S(2)*m*(m + S(-1))*Int((c + d*x)**(m + S(-2))*sech(a + b*x)**n, x)/(b**S(2)*n**S(2)) - d*m*(c + d*x)**(m + S(-1))*sech(a + b*x)**n/(b**S(2)*n**S(2)))
rubi.add(rule235)
pattern236 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**m_*csch(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: RationalQ(m, n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda m: Greater(m, S(1))))
rule236 = ReplacementRule(pattern236, lambda m, x, a, d, n, b, c : -(n + S(1))*Int((c + d*x)**m*csch(a + b*x)**(n + S(2)), x)/n - (c + d*x)**m*Cosh(a + b*x)*csch(a + b*x)**(n + S(1))/(b*n) + d**S(2)*m*(m + S(-1))*Int((c + d*x)**(m + S(-2))*csch(a + b*x)**n, x)/(b**S(2)*n**S(2)) - d*m*(c + d*x)**(m + S(-1))*csch(a + b*x)**n/(b**S(2)*n**S(2)))
rubi.add(rule236)
pattern237 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule237 = ReplacementRule(pattern237, lambda m, c, x, a, d, n, b : Cosh(a + b*x)**n*Int((c + d*x)**m*Cosh(a + b*x)**(-n), x)*sech(a + b*x)**n)
rubi.add(rule237)
pattern238 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule238 = ReplacementRule(pattern238, lambda m, x, a, d, n, b, c : Int((c + d*x)**m*sinh(a + b*x)**(-n), x)*sinh(a + b*x)**n*csch(a + b*x)**n)
rubi.add(rule238)
pattern239 = Pattern(Integral((a_ + WC('b', S(1))*sech(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule239 = ReplacementRule(pattern239, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (a + b*sech(e + f*x))**n, x), x))
rubi.add(rule239)
pattern240 = Pattern(Integral((a_ + WC('b', S(1))*csch(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule240 = ReplacementRule(pattern240, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (a + b*csch(e + f*x))**n, x), x))
rubi.add(rule240)
pattern241 = Pattern(Integral((a_ + WC('b', S(1))*sech(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule241 = ReplacementRule(pattern241, lambda m, c, e, x, f, d, a, n, b : Int(ExpandIntegrand((c + d*x)**m, (a*Cosh(e + f*x) + b)**n*Cosh(e + f*x)**(-n), x), x))
rubi.add(rule241)
pattern242 = Pattern(Integral((a_ + WC('b', S(1))*csch(x_*WC('f', S(1)) + WC('e', S(0))))**WC('n', S(1))*(x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n: NegativeIntegerQ(n)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule242 = ReplacementRule(pattern242, lambda m, e, x, f, d, a, n, b, c : Int(ExpandIntegrand((c + d*x)**m, (a*sinh(e + f*x) + b)**n*sinh(e + f*x)**(-n), x), x))
rubi.add(rule242)
pattern243 = Pattern(Integral(u_**WC('m', S(1))*sech(v_)**WC('n', S(1)), x_), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule243 = ReplacementRule(pattern243, lambda m, x, n, v, u : Int(ExpandToSum(u, x)**m*sech(ExpandToSum(v, x))**n, x))
rubi.add(rule243)
pattern244 = Pattern(Integral(u_**WC('m', S(1))*csch(v_)**WC('n', S(1)), x_), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule244 = ReplacementRule(pattern244, lambda m, x, n, v, u : Int(ExpandToSum(u, x)**m*csch(ExpandToSum(v, x))**n, x))
rubi.add(rule244)
pattern245 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule245 = ReplacementRule(pattern245, lambda m, c, x, a, d, n, b : Int((c + d*x)**m*sech(a + b*x)**n, x))
rubi.add(rule245)
pattern246 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule246 = ReplacementRule(pattern246, lambda m, x, a, d, n, b, c : Int((c + d*x)**m*csch(a + b*x)**n, x))
rubi.add(rule246)
pattern247 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sech(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n: PositiveIntegerQ(1/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule247 = ReplacementRule(pattern247, lambda p, x, a, d, n, b, c : Subst(Int(x**(S(-1) + 1/n)*(a + b*sech(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule247)
pattern248 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*csch(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n: PositiveIntegerQ(1/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule248 = ReplacementRule(pattern248, lambda p, x, a, d, n, b, c : Subst(Int(x**(S(-1) + 1/n)*(a + b*csch(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule248)
pattern249 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sech(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule249 = ReplacementRule(pattern249, lambda p, x, a, d, n, b, c : Int((a + b*sech(c + d*x**n))**p, x))
rubi.add(rule249)
pattern250 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*csch(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule250 = ReplacementRule(pattern250, lambda p, x, a, d, n, b, c : Int((a + b*csch(c + d*x**n))**p, x))
rubi.add(rule250)
pattern251 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sech(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule251 = ReplacementRule(pattern251, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*sech(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule251)
pattern252 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*csch(u_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: LinearQ(u, x)), CustomConstraint(lambda u, x: NonzeroQ(u - x)))
rule252 = ReplacementRule(pattern252, lambda p, x, a, d, n, b, u, c : Subst(Int((a + b*csch(c + d*x**n))**p, x), x, u)/Coefficient(u, x, S(1)))
rubi.add(rule252)
pattern253 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*sech(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule253 = ReplacementRule(pattern253, lambda p, x, a, u, b : Int((a + b*sech(ExpandToSum(u, x)))**p, x))
rubi.add(rule253)
pattern254 = Pattern(Integral((WC('a', S(0)) + WC('b', S(1))*csch(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule254 = ReplacementRule(pattern254, lambda p, x, a, u, b : Int((a + b*csch(ExpandToSum(u, x)))**p, x))
rubi.add(rule254)
pattern255 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sech(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: PositiveIntegerQ((m + S(1))/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule255 = ReplacementRule(pattern255, lambda p, m, x, a, d, n, b, c : Subst(Int(x**(S(-1) + (m + S(1))/n)*(a + b*sech(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule255)
pattern256 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*csch(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m: PositiveIntegerQ((m + S(1))/n)), CustomConstraint(lambda p: IntegerQ(p)))
rule256 = ReplacementRule(pattern256, lambda p, m, x, a, d, n, b, c : Subst(Int(x**(S(-1) + (m + S(1))/n)*(a + b*csch(c + d*x))**p, x), x, x**n)/n)
rubi.add(rule256)
pattern257 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sech(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule257 = ReplacementRule(pattern257, lambda p, m, x, a, d, n, b, c : Int(x**m*(a + b*sech(c + d*x**n))**p, x))
rubi.add(rule257)
pattern258 = Pattern(Integral(x_**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*csch(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule258 = ReplacementRule(pattern258, lambda p, m, x, a, d, n, b, c : Int(x**m*(a + b*csch(c + d*x**n))**p, x))
rubi.add(rule258)
pattern259 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sech(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule259 = ReplacementRule(pattern259, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*sech(c + d*x**n))**p, x))
rubi.add(rule259)
pattern260 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*csch(x_**n_*WC('d', S(1)) + WC('c', S(0))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)))
rule260 = ReplacementRule(pattern260, lambda p, m, e, x, a, d, n, b, c : e**IntPart(m)*x**(-FracPart(m))*(e*x)**FracPart(m)*Int(x**m*(a + b*csch(c + d*x**n))**p, x))
rubi.add(rule260)
pattern261 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*sech(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule261 = ReplacementRule(pattern261, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*sech(ExpandToSum(u, x)))**p, x))
rubi.add(rule261)
pattern262 = Pattern(Integral((e_*x_)**WC('m', S(1))*(WC('a', S(0)) + WC('b', S(1))*csch(u_))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda u, x: BinomialQ(u, x)), CustomConstraint(lambda u, x: Not(BinomialMatchQ(u, x))))
rule262 = ReplacementRule(pattern262, lambda p, m, e, x, a, u, b : Int((e*x)**m*(a + b*csch(ExpandToSum(u, x)))**p, x))
rubi.add(rule262)
pattern263 = Pattern(Integral(x_**WC('m', S(1))*sinh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))*sech(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n, m: GreaterEqual(m - n, S(0))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule263 = ReplacementRule(pattern263, lambda p, m, x, a, n, b : -x**(m - n + S(1))*sech(a + b*x**n)**(p + S(-1))/(b*n*(p + S(-1))) + (m - n + S(1))*Int(x**(m - n)*sech(a + b*x**n)**(p + S(-1)), x)/(b*n*(p + S(-1))))
rubi.add(rule263)
pattern264 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))*csch(x_**WC('n', S(1))*WC('b', S(1)) + WC('a', S(0)))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n, m: GreaterEqual(m - n, S(0))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule264 = ReplacementRule(pattern264, lambda p, m, x, a, n, b : -x**(m - n + S(1))*csch(a + b*x**n)**(p + S(-1))/(b*n*(p + S(-1))) + (m - n + S(1))*Int(x**(m - n)*csch(a + b*x**n)**(p + S(-1)), x)/(b*n*(p + S(-1))))
rubi.add(rule264)
pattern265 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('b', S(1)) + WC('a', S(0)))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule265 = ReplacementRule(pattern265, lambda m, x, a, d, n, b, c : -d*m*Int((c + d*x)**(m + S(-1))*sinh(a + b*x)**(n + S(1)), x)/(b*(n + S(1))) + (c + d*x)**m*sinh(a + b*x)**(n + S(1))/(b*(n + S(1))))
rubi.add(rule265)
pattern266 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule266 = ReplacementRule(pattern266, lambda m, x, a, d, n, b, c : -d*m*Int((c + d*x)**(m + S(-1))*Cosh(a + b*x)**(n + S(1)), x)/(b*(n + S(1))) + (c + d*x)**m*Cosh(a + b*x)**(n + S(1))/(b*(n + S(1))))
rubi.add(rule266)
pattern267 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, p: PositiveIntegerQ(n, p)))
rule267 = ReplacementRule(pattern267, lambda p, m, x, a, d, n, b, c : Int(ExpandTrigReduce((c + d*x)**m, Cosh(a + b*x)**p*sinh(a + b*x)**n, x), x))
rubi.add(rule267)
pattern268 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, p: PositiveIntegerQ(n, p)))
rule268 = ReplacementRule(pattern268, lambda p, m, c, x, a, d, n, b : Int((c + d*x)**m*sinh(a + b*x)**n*tanh(a + b*x)**(p + S(-2)), x) - Int((c + d*x)**m*sinh(a + b*x)**(n + S(-2))*tanh(a + b*x)**p, x))
rubi.add(rule268)
pattern269 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*Cosh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, p: PositiveIntegerQ(n, p)))
rule269 = ReplacementRule(pattern269, lambda p, m, x, a, d, n, b, c : Int((c + d*x)**m*Cosh(a + b*x)**n*coth(a + b*x)**(p + S(-2)), x) + Int((c + d*x)**m*Cosh(a + b*x)**(n + S(-2))*coth(a + b*x)**p, x))
rubi.add(rule269)
pattern270 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: SameQ(p, S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule270 = ReplacementRule(pattern270, lambda p, m, c, x, a, d, n, b : d*m*Int((c + d*x)**(m + S(-1))*sech(a + b*x)**n, x)/(b*n) - (c + d*x)**m*sech(a + b*x)**n/(b*n))
rubi.add(rule270)
pattern271 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: SameQ(p, S(1))), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))))
rule271 = ReplacementRule(pattern271, lambda p, m, x, a, d, n, b, c : d*m*Int((c + d*x)**(m + S(-1))*csch(a + b*x)**n, x)/(b*n) - (c + d*x)**m*csch(a + b*x)**n/(b*n))
rubi.add(rule271)
pattern272 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule272 = ReplacementRule(pattern272, lambda m, c, x, a, d, n, b : -d*m*Int((c + d*x)**(m + S(-1))*tanh(a + b*x)**(n + S(1)), x)/(b*(n + S(1))) + (c + d*x)**m*tanh(a + b*x)**(n + S(1))/(b*(n + S(1))))
rubi.add(rule272)
pattern273 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule273 = ReplacementRule(pattern273, lambda m, x, a, d, n, b, c : d*m*Int((c + d*x)**(m + S(-1))*coth(a + b*x)**(n + S(1)), x)/(b*(n + S(1))) - (c + d*x)**m*coth(a + b*x)**(n + S(1))/(b*(n + S(1))))
rubi.add(rule273)
pattern274 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**p_*sech(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: PositiveIntegerQ(p/S(2))))
rule274 = ReplacementRule(pattern274, lambda p, m, c, x, a, d, b : Int((c + d*x)**m*tanh(a + b*x)**(p + S(-2))*sech(a + b*x), x) - Int((c + d*x)**m*tanh(a + b*x)**(p + S(-2))*sech(a + b*x)**S(3), x))
rubi.add(rule274)
pattern275 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**p_*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p/S(2))))
rule275 = ReplacementRule(pattern275, lambda p, m, c, x, a, d, n, b : Int((c + d*x)**m*tanh(a + b*x)**(p + S(-2))*sech(a + b*x)**n, x) - Int((c + d*x)**m*tanh(a + b*x)**(p + S(-2))*sech(a + b*x)**(n + S(2)), x))
rubi.add(rule275)
pattern276 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**p_*csch(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p: PositiveIntegerQ(p/S(2))))
rule276 = ReplacementRule(pattern276, lambda p, m, x, a, d, b, c : Int((c + d*x)**m*coth(a + b*x)**(p + S(-2))*csch(a + b*x), x) + Int((c + d*x)**m*coth(a + b*x)**(p + S(-2))*csch(a + b*x)**S(3), x))
rubi.add(rule276)
pattern277 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**p_*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p/S(2))))
rule277 = ReplacementRule(pattern277, lambda p, m, x, a, d, n, b, c : Int((c + d*x)**m*coth(a + b*x)**(p + S(-2))*csch(a + b*x)**n, x) + Int((c + d*x)**m*coth(a + b*x)**(p + S(-2))*csch(a + b*x)**(n + S(2)), x))
rubi.add(rule277)
pattern278 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*tanh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n, p: EvenQ(n) | OddQ(p)), )
def With278(p, m, c, x, a, d, n, b):
u = IntHide(tanh(a + b*x)**p*sech(a + b*x)**n, x)
return -d*m*Int(u*(c + d*x)**(m + S(-1)), x) + Dist((c + d*x)**m, u, x)
rule278 = ReplacementRule(pattern278, lambda p, m, c, x, a, d, n, b : With278(p, m, c, x, a, d, n, b))
rubi.add(rule278)
pattern279 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*coth(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n, p: EvenQ(n) | OddQ(p)), )
def With279(p, m, x, a, d, n, b, c):
u = IntHide(coth(a + b*x)**p*csch(a + b*x)**n, x)
return -d*m*Int(u*(c + d*x)**(m + S(-1)), x) + Dist((c + d*x)**m, u, x)
rule279 = ReplacementRule(pattern279, lambda p, m, x, a, d, n, b, c : With279(p, m, x, a, d, n, b, c))
rubi.add(rule279)
pattern280 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda n: IntegerQ(n)))
rule280 = ReplacementRule(pattern280, lambda m, x, a, d, n, b, c : S(2)**n*Int((c + d*x)**m*csch(S(2)*a + S(2)*b*x)**n, x))
rubi.add(rule280)
pattern281 = Pattern(Integral((x_*WC('d', S(1)) + WC('c', S(0)))**WC('m', S(1))*csch(x_*WC('b', S(1)) + WC('a', S(0)))**WC('n', S(1))*sech(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, p: IntegersQ(n, p)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))), CustomConstraint(lambda n, p: Unequal(n, p)), )
def With281(p, m, x, a, d, n, b, c):
u = IntHide(csch(a + b*x)**n*sech(a + b*x)**p, x)
return -d*m*Int(u*(c + d*x)**(m + S(-1)), x) + Dist((c + d*x)**m, u, x)
rule281 = ReplacementRule(pattern281, lambda p, m, x, a, d, n, b, c : With281(p, m, x, a, d, n, b, c))
rubi.add(rule281)
pattern282 = Pattern(Integral(F_**v_*G_**w_*u_**WC('m', S(1)), x_), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda F: HyperbolicQ(F)), CustomConstraint(lambda G: HyperbolicQ(G)), CustomConstraint(lambda v, w: ZeroQ(v - w)), CustomConstraint(lambda v, u, x, w: LinearQ(List(u, v, w), x)), CustomConstraint(lambda v, u, x, w: Not(LinearMatchQ(List(u, v, w), x))))
rule282 = ReplacementRule(pattern282, lambda p, m, x, w, n, v, u, F, G : Int(ExpandToSum(u, x)**m*F(ExpandToSum(v, x))**n*G(ExpandToSum(v, x))**p, x))
rubi.add(rule282)
pattern283 = Pattern(Integral((a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule283 = ReplacementRule(pattern283, lambda m, e, x, f, d, a, n, b, c : -f*m*Int((a + b*sinh(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) + (a + b*sinh(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule283)
pattern284 = Pattern(Integral((a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule284 = ReplacementRule(pattern284, lambda m, c, e, x, f, d, a, n, b : -f*m*Int((a + b*Cosh(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) + (a + b*Cosh(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule284)
pattern285 = Pattern(Integral((a_ + WC('b', S(1))*tanh(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sech(x_*WC('d', S(1)) + WC('c', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule285 = ReplacementRule(pattern285, lambda m, e, x, f, d, a, n, b, c : -f*m*Int((a + b*tanh(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) + (a + b*tanh(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule285)
pattern286 = Pattern(Integral((a_ + WC('b', S(1))*coth(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*csch(x_*WC('d', S(1)) + WC('c', S(0)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule286 = ReplacementRule(pattern286, lambda m, c, e, x, f, d, a, n, b : f*m*Int((a + b*coth(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) - (a + b*coth(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule286)
pattern287 = Pattern(Integral((a_ + WC('b', S(1))*sech(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*tanh(x_*WC('d', S(1)) + WC('c', S(0)))*sech(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule287 = ReplacementRule(pattern287, lambda m, e, x, f, d, a, n, b, c : f*m*Int((a + b*sech(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) - (a + b*sech(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule287)
pattern288 = Pattern(Integral((a_ + WC('b', S(1))*csch(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*coth(x_*WC('d', S(1)) + WC('c', S(0)))*csch(x_*WC('d', S(1)) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: NonzeroQ(n + S(1))))
rule288 = ReplacementRule(pattern288, lambda m, c, e, x, f, d, a, n, b : f*m*Int((a + b*csch(c + d*x))**(n + S(1))*(e + f*x)**(m + S(-1)), x)/(b*d*(n + S(1))) - (a + b*csch(c + d*x))**(n + S(1))*(e + f*x)**m/(b*d*(n + S(1))))
rubi.add(rule288)
pattern289 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))**WC('q', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda m: IntegerQ(m)))
rule289 = ReplacementRule(pattern289, lambda p, m, c, e, x, a, f, d, q, b : Int(ExpandTrigReduce((e + f*x)**m, sinh(a + b*x)**p*sinh(c + d*x)**q, x), x))
rubi.add(rule289)
pattern290 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**WC('q', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda m: IntegerQ(m)))
rule290 = ReplacementRule(pattern290, lambda p, m, e, x, a, d, f, b, q, c : Int(ExpandTrigReduce((e + f*x)**m, Cosh(a + b*x)**p*Cosh(c + d*x)**q, x), x))
rubi.add(rule290)
pattern291 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**WC('q', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)))
rule291 = ReplacementRule(pattern291, lambda p, m, e, x, f, d, a, b, q, c : Int(ExpandTrigReduce((e + f*x)**m, Cosh(c + d*x)**q*sinh(a + b*x)**p, x), x))
rubi.add(rule291)
pattern292 = Pattern(Integral(F_**(x_*WC('b', S(1)) + WC('a', S(0)))*G_**(x_*WC('d', S(1)) + WC('c', S(0)))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda F: MemberQ(List(Sinh, Cosh), F)), CustomConstraint(lambda G: MemberQ(List(Sech, Csch), G)), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda d, c, a, b: ZeroQ(-a*d + b*c)), CustomConstraint(lambda d, b: PositiveIntegerQ(b/d + S(-1))))
rule292 = ReplacementRule(pattern292, lambda p, m, c, e, x, a, f, d, F, q, G, b : Int(ExpandTrigExpand((e + f*x)**m*G(c + d*x)**q, F, c + d*x, p, b/d, x), x))
rubi.add(rule292)
pattern293 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sinh(x_*WC('e', S(1)) + WC('d', S(0))), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda F, c, e, b: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2))))
rule293 = ReplacementRule(pattern293, lambda c, e, x, a, d, F, b : -F**(c*(a + b*x))*b*c*log(F)*sinh(d + e*x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)) + F**(c*(a + b*x))*e*Cosh(d + e*x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)))
rubi.add(rule293)
pattern294 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('e', S(1)) + WC('d', S(0))), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda F, c, e, b: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2))))
rule294 = ReplacementRule(pattern294, lambda c, e, x, a, d, F, b : -F**(c*(a + b*x))*b*c*Cosh(d + e*x)*log(F)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)) + F**(c*(a + b*x))*e*sinh(d + e*x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)))
rubi.add(rule294)
pattern295 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule295 = ReplacementRule(pattern295, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*sinh(d + e*x)**n/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) + F**(c*(a + b*x))*e*n*Cosh(d + e*x)*sinh(d + e*x)**(n + S(-1))/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) - e**S(2)*n*(n + S(-1))*Int(F**(c*(a + b*x))*sinh(d + e*x)**(n + S(-2)), x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)))
rubi.add(rule295)
pattern296 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))))
rule296 = ReplacementRule(pattern296, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*Cosh(d + e*x)**n*log(F)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) + F**(c*(a + b*x))*e*n*Cosh(d + e*x)**(n + S(-1))*sinh(d + e*x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) + e**S(2)*n*(n + S(-1))*Int(F**(c*(a + b*x))*Cosh(d + e*x)**(n + S(-2)), x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)))
rubi.add(rule296)
pattern297 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda e, n, b, F, c: ZeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))), CustomConstraint(lambda n: NonzeroQ(n + S(1))), CustomConstraint(lambda n: NonzeroQ(n + S(2))))
rule297 = ReplacementRule(pattern297, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*sinh(d + e*x)**(n + S(2))/(e**S(2)*(n + S(1))*(n + S(2))) + F**(c*(a + b*x))*Cosh(d + e*x)*sinh(d + e*x)**(n + S(1))/(e*(n + S(1))))
rubi.add(rule297)
pattern298 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda e, n, b, F, c: ZeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))), CustomConstraint(lambda n: NonzeroQ(n + S(1))), CustomConstraint(lambda n: NonzeroQ(n + S(2))))
rule298 = ReplacementRule(pattern298, lambda c, e, x, a, d, n, F, b : F**(c*(a + b*x))*b*c*Cosh(d + e*x)**(n + S(2))*log(F)/(e**S(2)*(n + S(1))*(n + S(2))) - F**(c*(a + b*x))*Cosh(d + e*x)**(n + S(1))*sinh(d + e*x)/(e*(n + S(1))))
rubi.add(rule298)
pattern299 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))))
rule299 = ReplacementRule(pattern299, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*sinh(d + e*x)**(n + S(2))/(e**S(2)*(n + S(1))*(n + S(2))) + F**(c*(a + b*x))*Cosh(d + e*x)*sinh(d + e*x)**(n + S(1))/(e*(n + S(1))) - (-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))*Int(F**(c*(a + b*x))*sinh(d + e*x)**(n + S(2)), x)/(e**S(2)*(n + S(1))*(n + S(2))))
rubi.add(rule299)
pattern300 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))), CustomConstraint(lambda n: Unequal(n, S(-2))))
rule300 = ReplacementRule(pattern300, lambda c, e, x, a, d, n, F, b : F**(c*(a + b*x))*b*c*Cosh(d + e*x)**(n + S(2))*log(F)/(e**S(2)*(n + S(1))*(n + S(2))) - F**(c*(a + b*x))*Cosh(d + e*x)**(n + S(1))*sinh(d + e*x)/(e*(n + S(1))) + (-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(2))**S(2))*Int(F**(c*(a + b*x))*Cosh(d + e*x)**(n + S(2)), x)/(e**S(2)*(n + S(1))*(n + S(2))))
rubi.add(rule300)
pattern301 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule301 = ReplacementRule(pattern301, lambda c, e, x, a, d, n, F, b : (exp(S(2)*d + S(2)*e*x) + S(-1))**(-n)*Int(F**(c*(a + b*x))*(exp(S(2)*d + S(2)*e*x) + S(-1))**n*exp(-n*(d + e*x)), x)*exp(n*(d + e*x))*sinh(d + e*x)**n)
rubi.add(rule301)
pattern302 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule302 = ReplacementRule(pattern302, lambda c, e, x, a, d, n, F, b : (exp(S(2)*d + S(2)*e*x) + S(1))**(-n)*Cosh(d + e*x)**n*Int(F**(c*(a + b*x))*(exp(S(2)*d + S(2)*e*x) + S(1))**n*exp(-n*(d + e*x)), x)*exp(n*(d + e*x)))
rubi.add(rule302)
pattern303 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*tanh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: IntegerQ(n)))
rule303 = ReplacementRule(pattern303, lambda c, e, x, a, d, n, F, b : Int(ExpandIntegrand(F**(c*(a + b*x))*(exp(S(2)*d + S(2)*e*x) + S(-1))**n*(exp(S(2)*d + S(2)*e*x) + S(1))**(-n), x), x))
rubi.add(rule303)
pattern304 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*coth(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: IntegerQ(n)))
rule304 = ReplacementRule(pattern304, lambda e, x, a, d, n, b, F, c : Int(ExpandIntegrand(F**(c*(a + b*x))*(exp(S(2)*d + S(2)*e*x) + S(-1))**(-n)*(exp(S(2)*d + S(2)*e*x) + S(1))**n, x), x))
rubi.add(rule304)
pattern305 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))))
rule305 = ReplacementRule(pattern305, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*sech(d + e*x)**n/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) - F**(c*(a + b*x))*e*n*sinh(d + e*x)*sech(d + e*x)**(n + S(1))/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) + e**S(2)*n*(n + S(1))*Int(F**(c*(a + b*x))*sech(d + e*x)**(n + S(2)), x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)))
rubi.add(rule305)
pattern306 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Less(n, S(-1))))
rule306 = ReplacementRule(pattern306, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*csch(d + e*x)**n/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) - F**(c*(a + b*x))*e*n*Cosh(d + e*x)*csch(d + e*x)**(n + S(1))/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)) - e**S(2)*n*(n + S(1))*Int(F**(c*(a + b*x))*csch(d + e*x)**(n + S(2)), x)/(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*n**S(2)))
rubi.add(rule306)
pattern307 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda e, n, b, F, c: ZeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))), CustomConstraint(lambda n: NonzeroQ(n + S(-1))), CustomConstraint(lambda n: NonzeroQ(n + S(-2))))
rule307 = ReplacementRule(pattern307, lambda c, e, x, a, d, n, F, b : F**(c*(a + b*x))*b*c*log(F)*sech(d + e*x)**(n + S(-2))/(e**S(2)*(n + S(-2))*(n + S(-1))) + F**(c*(a + b*x))*sinh(d + e*x)*sech(d + e*x)**(n + S(-1))/(e*(n + S(-1))))
rubi.add(rule307)
pattern308 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda e, n, b, F, c: ZeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))), CustomConstraint(lambda n: NonzeroQ(n + S(-1))), CustomConstraint(lambda n: NonzeroQ(n + S(-2))))
rule308 = ReplacementRule(pattern308, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*csch(d + e*x)**(n + S(-2))/(e**S(2)*(n + S(-2))*(n + S(-1))) - F**(c*(a + b*x))*Cosh(d + e*x)*csch(d + e*x)**(n + S(-1))/(e*(n + S(-1))))
rubi.add(rule308)
pattern309 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))))
rule309 = ReplacementRule(pattern309, lambda c, e, x, a, d, n, F, b : F**(c*(a + b*x))*b*c*log(F)*sech(d + e*x)**(n + S(-2))/(e**S(2)*(n + S(-2))*(n + S(-1))) + F**(c*(a + b*x))*sinh(d + e*x)*sech(d + e*x)**(n + S(-1))/(e*(n + S(-1))) + (-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))*Int(F**(c*(a + b*x))*sech(d + e*x)**(n + S(-2)), x)/(e**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule309)
pattern310 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**n_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda e, n, b, F, c: NonzeroQ(-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda n: Unequal(n, S(2))))
rule310 = ReplacementRule(pattern310, lambda c, e, x, a, d, n, F, b : -F**(c*(a + b*x))*b*c*log(F)*csch(d + e*x)**(n + S(-2))/(e**S(2)*(n + S(-2))*(n + S(-1))) - F**(c*(a + b*x))*Cosh(d + e*x)*csch(d + e*x)**(n + S(-1))/(e*(n + S(-1))) - (-b**S(2)*c**S(2)*log(F)**S(2) + e**S(2)*(n + S(-2))**S(2))*Int(F**(c*(a + b*x))*csch(d + e*x)**(n + S(-2)), x)/(e**S(2)*(n + S(-2))*(n + S(-1))))
rubi.add(rule310)
pattern311 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: IntegerQ(n)))
rule311 = ReplacementRule(pattern311, lambda c, e, x, a, d, n, F, b : S(2)**n*F**(c*(a + b*x))*Hypergeometric2F1(n, b*c*log(F)/(S(2)*e) + n/S(2), b*c*log(F)/(S(2)*e) + n/S(2) + S(1), -exp(S(2)*d + S(2)*e*x))*exp(n*(d + e*x))/(b*c*log(F) + e*n))
rubi.add(rule311)
pattern312 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: IntegerQ(n)))
rule312 = ReplacementRule(pattern312, lambda e, x, a, d, n, b, F, c : (S(-2))**n*F**(c*(a + b*x))*Hypergeometric2F1(n, b*c*log(F)/(S(2)*e) + n/S(2), b*c*log(F)/(S(2)*e) + n/S(2) + S(1), exp(S(2)*d + S(2)*e*x))*exp(n*(d + e*x))/(b*c*log(F) + e*n))
rubi.add(rule312)
pattern313 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule313 = ReplacementRule(pattern313, lambda c, e, x, a, d, n, F, b : (exp(S(2)*d + S(2)*e*x) + S(1))**n*Int(SimplifyIntegrand(F**(c*(a + b*x))*(exp(S(2)*d + S(2)*e*x) + S(1))**(-n)*exp(n*(d + e*x)), x), x)*exp(-n*(d + e*x))*sech(d + e*x)**n)
rubi.add(rule313)
pattern314 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n: Not(IntegerQ(n))))
rule314 = ReplacementRule(pattern314, lambda e, x, a, d, n, b, F, c : (-exp(-S(2)*d - S(2)*e*x) + S(1))**n*Int(SimplifyIntegrand(F**(c*(a + b*x))*(-exp(-S(2)*d - S(2)*e*x) + S(1))**(-n)*exp(-n*(d + e*x)), x), x)*exp(n*(d + e*x))*csch(d + e*x)**n)
rubi.add(rule314)
pattern315 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + WC('g', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f**S(2) + g**S(2))), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule315 = ReplacementRule(pattern315, lambda c, e, x, a, d, f, g, n, F, b : S(2)**n*f**n*Int(F**(c*(a + b*x))*Cosh(-Pi*f/(S(4)*g) + d/S(2) + e*x/S(2))**(S(2)*n), x))
rubi.add(rule315)
pattern316 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('g', S(1)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f - g)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule316 = ReplacementRule(pattern316, lambda e, x, a, d, f, g, n, b, F, c : S(2)**n*g**n*Int(F**(c*(a + b*x))*Cosh(d/S(2) + e*x/S(2))**(S(2)*n), x))
rubi.add(rule316)
pattern317 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('g', S(1)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f + g)), CustomConstraint(lambda n: NegativeIntegerQ(n)))
rule317 = ReplacementRule(pattern317, lambda e, x, a, d, f, g, n, b, F, c : S(2)**n*g**n*Int(F**(c*(a + b*x))*sinh(d/S(2) + e*x/S(2))**(S(2)*n), x))
rubi.add(rule317)
pattern318 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + WC('g', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0))))**WC('n', S(1))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f**S(2) + g**S(2))), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda n, m: Equal(m + n, S(0))))
rule318 = ReplacementRule(pattern318, lambda m, e, x, a, d, f, g, n, b, F, c : g**n*Int(F**(c*(a + b*x))*tanh(-Pi*f/(S(4)*g) + d/S(2) + e*x/S(2))**m, x))
rubi.add(rule318)
pattern319 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('g', S(1)))**WC('n', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f - g)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda n, m: Equal(m + n, S(0))))
rule319 = ReplacementRule(pattern319, lambda m, e, x, a, d, f, g, n, b, F, c : g**n*Int(F**(c*(a + b*x))*tanh(d/S(2) + e*x/S(2))**m, x))
rubi.add(rule319)
pattern320 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(f_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('g', S(1)))**WC('n', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda g, f: ZeroQ(f + g)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda n, m: Equal(m + n, S(0))))
rule320 = ReplacementRule(pattern320, lambda m, e, x, a, d, f, g, n, b, F, c : g**n*Int(F**(c*(a + b*x))*coth(d/S(2) + e*x/S(2))**m, x))
rubi.add(rule320)
pattern321 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(h_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('i', S(1)))/(f_ + WC('g', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda h, x: FreeQ(h, x)), CustomConstraint(lambda i, x: FreeQ(i, x)), CustomConstraint(lambda g, f: ZeroQ(f**S(2) + g**S(2))), CustomConstraint(lambda h, i: ZeroQ(h**S(2) - i**S(2))), CustomConstraint(lambda h, g, i, f: ZeroQ(-f*i + g*h)))
rule321 = ReplacementRule(pattern321, lambda h, c, e, x, a, d, f, g, F, i, b : S(2)*i*Int(F**(c*(a + b*x))*Cosh(d + e*x)/(f + g*sinh(d + e*x)), x) + Int(F**(c*(a + b*x))*(h - i*Cosh(d + e*x))/(f + g*sinh(d + e*x)), x))
rubi.add(rule321)
pattern322 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*(h_ + WC('i', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0))))/(f_ + Cosh(x_*WC('e', S(1)) + WC('d', S(0)))*WC('g', S(1))), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda h, x: FreeQ(h, x)), CustomConstraint(lambda i, x: FreeQ(i, x)), CustomConstraint(lambda g, f: ZeroQ(f**S(2) - g**S(2))), CustomConstraint(lambda h, i: ZeroQ(h**S(2) + i**S(2))), CustomConstraint(lambda h, g, i, f: ZeroQ(f*i + g*h)))
rule322 = ReplacementRule(pattern322, lambda h, e, x, a, d, f, g, F, b, i, c : S(2)*i*Int(F**(c*(a + b*x))*sinh(d + e*x)/(f + g*Cosh(d + e*x)), x) + Int(F**(c*(a + b*x))*(h - i*sinh(d + e*x))/(f + g*Cosh(d + e*x)), x))
rubi.add(rule322)
pattern323 = Pattern(Integral(F_**(u_*WC('c', S(1)))*G_**v_, x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda G: HyperbolicQ(G)), CustomConstraint(lambda v, u, x: LinearQ(List(u, v), x)), CustomConstraint(lambda v, u, x: Not(LinearMatchQ(List(u, v), x))))
rule323 = ReplacementRule(pattern323, lambda x, n, v, u, F, G, c : Int(F**(c*ExpandToSum(u, x))*G(ExpandToSum(v, x))**n, x))
rubi.add(rule323)
pattern324 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*x_**WC('m', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))), CustomConstraint(lambda n: PositiveIntegerQ(n)), )
def With324(m, c, e, x, a, d, n, F, b):
u = IntHide(F**(c*(a + b*x))*sinh(d + e*x)**n, x)
return u*x**m - Dist(m, Int(u*x**(m + S(-1)), x))
rule324 = ReplacementRule(pattern324, lambda m, c, e, x, a, d, n, F, b : With324(m, c, e, x, a, d, n, F, b))
rubi.add(rule324)
pattern325 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*x_**WC('m', S(1))*Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda m: RationalQ(m)), CustomConstraint(lambda m: Greater(m, S(0))), CustomConstraint(lambda n: PositiveIntegerQ(n)), )
def With325(m, e, x, a, d, n, b, F, c):
u = IntHide(F**(c*(a + b*x))*Cosh(d + e*x)**n, x)
return u*x**m - Dist(m, Int(u*x**(m + S(-1)), x))
rule325 = ReplacementRule(pattern325, lambda m, e, x, a, d, n, b, F, c : With325(m, e, x, a, d, n, b, F, c))
rubi.add(rule325)
pattern326 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*Cosh(x_*WC('g', S(1)) + WC('f', S(0)))**WC('n', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule326 = ReplacementRule(pattern326, lambda m, e, x, a, f, d, g, n, b, F, c : Int(ExpandTrigReduce(F**(c*(a + b*x)), Cosh(f + g*x)**n*sinh(d + e*x)**m, x), x))
rubi.add(rule326)
pattern327 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*x_**WC('p', S(1))*Cosh(x_*WC('g', S(1)) + WC('f', S(0)))**WC('n', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda n, m, p: PositiveIntegerQ(m, n, p)))
rule327 = ReplacementRule(pattern327, lambda p, m, e, x, a, f, d, g, n, b, F, c : Int(ExpandTrigReduce(F**(c*(a + b*x))*x**p, Cosh(f + g*x)**n*sinh(d + e*x)**m, x), x))
rubi.add(rule327)
pattern328 = Pattern(Integral(F_**((x_*WC('b', S(1)) + WC('a', S(0)))*WC('c', S(1)))*G_**(x_*WC('e', S(1)) + WC('d', S(0)))*H_**(x_*WC('e', S(1)) + WC('d', S(0))), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)), CustomConstraint(lambda G: HyperbolicQ(G)), CustomConstraint(lambda H: HyperbolicQ(H)))
rule328 = ReplacementRule(pattern328, lambda m, H, c, e, x, a, d, n, F, G, b : Int(ExpandTrigToExp(F**(c*(a + b*x)), G(d + e*x)**m*H(d + e*x)**n, x), x))
rubi.add(rule328)
pattern329 = Pattern(Integral(F_**u_*sinh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda u, x: LinearQ(u, x) | PolyQ(u, x, S(2))), CustomConstraint(lambda v, x: LinearQ(v, x) | PolyQ(v, x, S(2))), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule329 = ReplacementRule(pattern329, lambda x, n, v, u, F : Int(ExpandTrigToExp(F**u, sinh(v)**n, x), x))
rubi.add(rule329)
pattern330 = Pattern(Integral(F_**u_*Cosh(v_)**WC('n', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda u, x: LinearQ(u, x) | PolyQ(u, x, S(2))), CustomConstraint(lambda v, x: LinearQ(v, x) | PolyQ(v, x, S(2))), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule330 = ReplacementRule(pattern330, lambda x, n, v, u, F : Int(ExpandTrigToExp(F**u, Cosh(v)**n, x), x))
rubi.add(rule330)
pattern331 = Pattern(Integral(F_**u_*Cosh(v_)**WC('n', S(1))*sinh(v_)**WC('m', S(1)), x_), CustomConstraint(lambda F, x: FreeQ(F, x)), CustomConstraint(lambda u, x: LinearQ(u, x) | PolyQ(u, x, S(2))), CustomConstraint(lambda v, x: LinearQ(v, x) | PolyQ(v, x, S(2))), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule331 = ReplacementRule(pattern331, lambda m, x, n, v, u, F : Int(ExpandTrigToExp(F**u, Cosh(v)**n*sinh(v)**m, x), x))
rubi.add(rule331)
pattern332 = Pattern(Integral(sinh(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, p, b: RationalQ(b, n, p)))
rule332 = ReplacementRule(pattern332, lambda p, c, x, n, b : Int(((c*x**n)**b/S(2) - (c*x**n)**(-b)/S(2))**p, x))
rubi.add(rule332)
pattern333 = Pattern(Integral(Cosh(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, p, b: RationalQ(b, n, p)))
rule333 = ReplacementRule(pattern333, lambda p, c, x, n, b : Int(((c*x**n)**b/S(2) + (c*x**n)**(-b)/S(2))**p, x))
rubi.add(rule333)
pattern334 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule334 = ReplacementRule(pattern334, lambda p, x, a, n, b, c : -x*(p + S(2))*sinh(a + b*log(c*x**n))**(p + S(2))/(p + S(1)) + x*sinh(a + b*log(c*x**n))**(p + S(2))*coth(a + b*log(c*x**n))/(b*n*(p + S(1))))
rubi.add(rule334)
pattern335 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))), CustomConstraint(lambda p: NonzeroQ(p + S(1))))
rule335 = ReplacementRule(pattern335, lambda p, x, a, n, b, c : x*(p + S(2))*Cosh(a + b*log(c*x**n))**(p + S(2))/(p + S(1)) - x*Cosh(a + b*log(c*x**n))**(p + S(2))*tanh(a + b*log(c*x**n))/(b*n*(p + S(1))))
rubi.add(rule335)
pattern336 = Pattern(Integral(sqrt(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: ZeroQ(b*n + S(-2))))
rule336 = ReplacementRule(pattern336, lambda x, a, n, b, c : x*Int(sqrt((c*x**n)**(S(4)/n)*exp(S(2)*a) + S(-1))/x, x)*sqrt(sinh(a + b*log(c*x**n)))/sqrt((c*x**n)**(S(4)/n)*exp(S(2)*a) + S(-1)))
rubi.add(rule336)
pattern337 = Pattern(Integral(sqrt(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: ZeroQ(b*n + S(-2))))
rule337 = ReplacementRule(pattern337, lambda x, a, n, b, c : x*sqrt(Cosh(a + b*log(c*x**n)))*Int(sqrt((c*x**n)**(S(4)/n)*exp(S(2)*a) + S(1))/x, x)/sqrt((c*x**n)**(S(4)/n)*exp(S(2)*a) + S(1)))
rubi.add(rule337)
pattern338 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule338 = ReplacementRule(pattern338, lambda p, x, a, n, b, c : Int(ExpandIntegrand(((c*x**n)**(S(1)/(n*p))*exp(a*b*n*p)/(S(2)*b*n*p) - (c*x**n)**(-S(1)/(n*p))*exp(-a*b*n*p)/(S(2)*b*n*p))**p, x), x))
rubi.add(rule338)
pattern339 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule339 = ReplacementRule(pattern339, lambda p, x, a, n, b, c : Int(ExpandIntegrand(((c*x**n)**(S(1)/(n*p))*exp(a*b*n*p)/S(2) + (c*x**n)**(-S(1)/(n*p))*exp(-a*b*n*p)/S(2))**p, x), x))
rubi.add(rule339)
pattern340 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: NonzeroQ(b**S(2)*n**S(2) + S(-1))))
rule340 = ReplacementRule(pattern340, lambda x, a, n, b, c : b*n*x*Cosh(a + b*log(c*x**n))/(b**S(2)*n**S(2) + S(-1)) - x*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2) + S(-1)))
rubi.add(rule340)
pattern341 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: NonzeroQ(b**S(2)*n**S(2) + S(-1))))
rule341 = ReplacementRule(pattern341, lambda x, a, n, b, c : b*n*x*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2) + S(-1)) - x*Cosh(a + b*log(c*x**n))/(b**S(2)*n**S(2) + S(-1)))
rubi.add(rule341)
pattern342 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule342 = ReplacementRule(pattern342, lambda p, x, a, n, b, c : -b**S(2)*n**S(2)*p*(p + S(-1))*Int(sinh(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*p**S(2) + S(-1)) + b*n*p*x*Cosh(a + b*log(c*x**n))*sinh(a + b*log(c*x**n))**(p + S(-1))/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - x*sinh(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) + S(-1)))
rubi.add(rule342)
pattern343 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule343 = ReplacementRule(pattern343, lambda p, x, a, n, b, c : b**S(2)*n**S(2)*p*(p + S(-1))*Int(Cosh(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*p**S(2) + S(-1)) + b*n*p*x*Cosh(a + b*log(c*x**n))**(p + S(-1))*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - x*Cosh(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) + S(-1)))
rubi.add(rule343)
pattern344 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))))
rule344 = ReplacementRule(pattern344, lambda p, x, a, n, b, c : x*sinh(a + b*log(c*x**n))**(p + S(2))*coth(a + b*log(c*x**n))/(b*n*(p + S(1))) - x*sinh(a + b*log(c*x**n))**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) - (b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))*Int(sinh(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule344)
pattern345 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))))
rule345 = ReplacementRule(pattern345, lambda p, x, a, n, b, c : -x*Cosh(a + b*log(c*x**n))**(p + S(2))*tanh(a + b*log(c*x**n))/(b*n*(p + S(1))) + x*Cosh(a + b*log(c*x**n))**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) + (b**S(2)*n**S(2)*(p + S(2))**S(2) + S(-1))*Int(Cosh(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule345)
pattern346 = Pattern(Integral(sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule346 = ReplacementRule(pattern346, lambda p, x, a, n, b, c : x*(S(2) - S(2)*(c*x**n)**(-S(2)*b)*exp(-S(2)*a))**(-p)*((c*x**n)**b*exp(a) - (c*x**n)**(-b)*exp(-a))**p*Hypergeometric2F1(-p, (-b*n*p + S(-1))/(S(2)*b*n), S(1) - (b*n*p + S(1))/(S(2)*b*n), (c*x**n)**(-S(2)*b)*exp(-S(2)*a))/(b*n*p + S(1)))
rubi.add(rule346)
pattern347 = Pattern(Integral(Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule347 = ReplacementRule(pattern347, lambda p, x, a, n, b, c : x*(S(2) + S(2)*(c*x**n)**(-S(2)*b)*exp(-S(2)*a))**(-p)*((c*x**n)**b*exp(a) + (c*x**n)**(-b)*exp(-a))**p*Hypergeometric2F1(-p, (-b*n*p + S(-1))/(S(2)*b*n), S(1) - (b*n*p + S(1))/(S(2)*b*n), -(c*x**n)**(-S(2)*b)*exp(-S(2)*a))/(b*n*p + S(1)))
rubi.add(rule347)
pattern348 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: NonzeroQ(p + S(1))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule348 = ReplacementRule(pattern348, lambda p, m, x, a, n, b, c : x**(m + S(1))*(-p + S(-2))*sinh(a + b*log(c*x**n))**(p + S(2))/((m + S(1))*(p + S(1))) + x**(m + S(1))*sinh(a + b*log(c*x**n))**(p + S(2))*coth(a + b*log(c*x**n))/(b*n*(p + S(1))))
rubi.add(rule348)
pattern349 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: NonzeroQ(p + S(1))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule349 = ReplacementRule(pattern349, lambda p, m, x, a, n, b, c : x**(m + S(1))*(p + S(2))*Cosh(a + b*log(c*x**n))**(p + S(2))/((m + S(1))*(p + S(1))) - x**(m + S(1))*Cosh(a + b*log(c*x**n))**(p + S(2))*tanh(a + b*log(c*x**n))/(b*n*(p + S(1))))
rubi.add(rule349)
pattern350 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule350 = ReplacementRule(pattern350, lambda p, m, x, a, n, b, c : S(2)**(-p)*Int(ExpandIntegrand(x**m*((c*x**n)**((-m + S(-1))/(n*p))*(-m + S(-1))*exp(-a*b*n*p/(m + S(1)))/(b*n*p) + (c*x**n)**((m + S(1))/(n*p))*(m + S(1))*exp(a*b*n*p/(m + S(1)))/(b*n*p))**p, x), x))
rubi.add(rule350)
pattern351 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: PositiveIntegerQ(p)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule351 = ReplacementRule(pattern351, lambda p, m, x, a, n, b, c : S(2)**(-p)*Int(ExpandIntegrand(x**m*((c*x**n)**((-m + S(-1))/(n*p))*exp(-a*b*n*p/(m + S(1))) + (c*x**n)**((m + S(1))/(n*p))*exp(a*b*n*p/(m + S(1))))**p, x), x))
rubi.add(rule351)
pattern352 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, b: NonzeroQ(b**S(2)*n**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule352 = ReplacementRule(pattern352, lambda m, x, a, n, b, c : b*n*x**(m + S(1))*Cosh(a + b*log(c*x**n))/(b**S(2)*n**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2) - (m + S(1))**S(2)))
rubi.add(rule352)
pattern353 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, b: NonzeroQ(b**S(2)*n**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule353 = ReplacementRule(pattern353, lambda m, x, a, n, b, c : b*n*x**(m + S(1))*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*Cosh(a + b*log(c*x**n))/(b**S(2)*n**S(2) - (m + S(1))**S(2)))
rubi.add(rule353)
pattern354 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule354 = ReplacementRule(pattern354, lambda p, m, x, a, n, b, c : -b**S(2)*n**S(2)*p*(p + S(-1))*Int(x**m*sinh(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + b*n*p*x**(m + S(1))*Cosh(a + b*log(c*x**n))*sinh(a + b*log(c*x**n))**(p + S(-1))/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*sinh(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)))
rubi.add(rule354)
pattern355 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule355 = ReplacementRule(pattern355, lambda p, m, x, a, n, b, c : b**S(2)*n**S(2)*p*(p + S(-1))*Int(x**m*Cosh(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + b*n*p*x**(m + S(1))*Cosh(a + b*log(c*x**n))**(p + S(-1))*sinh(a + b*log(c*x**n))/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*Cosh(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)))
rubi.add(rule355)
pattern356 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule356 = ReplacementRule(pattern356, lambda p, m, x, a, n, b, c : x**(m + S(1))*sinh(a + b*log(c*x**n))**(p + S(2))*coth(a + b*log(c*x**n))/(b*n*(p + S(1))) - x**(m + S(1))*(m + S(1))*sinh(a + b*log(c*x**n))**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) - (b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))*Int(x**m*sinh(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule356)
pattern357 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda p: Unequal(p, S(-2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))))
rule357 = ReplacementRule(pattern357, lambda p, m, x, a, n, b, c : -x**(m + S(1))*Cosh(a + b*log(c*x**n))**(p + S(2))*tanh(a + b*log(c*x**n))/(b*n*(p + S(1))) + x**(m + S(1))*(m + S(1))*Cosh(a + b*log(c*x**n))**(p + S(2))/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))) + (b**S(2)*n**S(2)*(p + S(2))**S(2) - (m + S(1))**S(2))*Int(x**m*Cosh(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*(p + S(1))*(p + S(2))))
rubi.add(rule357)
pattern358 = Pattern(Integral(x_**WC('m', S(1))*sinh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule358 = ReplacementRule(pattern358, lambda p, m, x, a, n, b, c : x**(m + S(1))*(S(2) - S(2)*(c*x**n)**(-S(2)*b)*exp(-S(2)*a))**(-p)*((c*x**n)**b*exp(a) - (c*x**n)**(-b)*exp(-a))**p*Hypergeometric2F1(-p, (-b*n*p - m + S(-1))/(S(2)*b*n), S(1) - (b*n*p + m + S(1))/(S(2)*b*n), (c*x**n)**(-S(2)*b)*exp(-S(2)*a))/(b*n*p + m + S(1)))
rubi.add(rule358)
pattern359 = Pattern(Integral(x_**WC('m', S(1))*Cosh(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule359 = ReplacementRule(pattern359, lambda p, m, x, a, n, b, c : x**(m + S(1))*(S(2) + S(2)*(c*x**n)**(-S(2)*b)*exp(-S(2)*a))**(-p)*((c*x**n)**b*exp(a) + (c*x**n)**(-b)*exp(-a))**p*Hypergeometric2F1(-p, (-b*n*p - m + S(-1))/(S(2)*b*n), S(1) - (b*n*p + m + S(1))/(S(2)*b*n), -(c*x**n)**(-S(2)*b)*exp(-S(2)*a))/(b*n*p + m + S(1)))
rubi.add(rule359)
pattern360 = Pattern(Integral(sech(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, p, b: RationalQ(b, n, p)))
rule360 = ReplacementRule(pattern360, lambda p, c, x, n, b : S(2)**p*Int(((c*x**n)**b/((c*x**n)**(S(2)*b) + S(1)))**p, x))
rubi.add(rule360)
pattern361 = Pattern(Integral(csch(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, p, b: RationalQ(b, n, p)))
rule361 = ReplacementRule(pattern361, lambda p, c, x, n, b : S(2)**p*Int(((c*x**n)**b/((c*x**n)**(S(2)*b) + S(-1)))**p, x))
rubi.add(rule361)
pattern362 = Pattern(Integral(sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: ZeroQ(b**S(2)*n**S(2) + S(-1))))
rule362 = ReplacementRule(pattern362, lambda x, a, n, b, c : S(2)*Int((c*x**n)**(1/n)/((c*x**n)**(S(2)/n) + exp(-S(2)*a*b*n)), x)*exp(-a*b*n))
rubi.add(rule362)
pattern363 = Pattern(Integral(csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, b: ZeroQ(b**S(2)*n**S(2) + S(-1))))
rule363 = ReplacementRule(pattern363, lambda x, a, n, b, c : -S(2)*b*n*Int((c*x**n)**(1/n)/(-(c*x**n)**(S(2)/n) + exp(-S(2)*a*b*n)), x)*exp(-a*b*n))
rubi.add(rule363)
pattern364 = Pattern(Integral(sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule364 = ReplacementRule(pattern364, lambda p, x, a, n, b, c : x*(p + S(-2))*sech(a + b*log(c*x**n))**(p + S(-2))/(p + S(-1)) + x*tanh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))))
rubi.add(rule364)
pattern365 = Pattern(Integral(csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule365 = ReplacementRule(pattern365, lambda p, x, a, n, b, c : x*(-p + S(2))*csch(a + b*log(c*x**n))**(p + S(-2))/(p + S(-1)) - x*coth(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))))
rubi.add(rule365)
pattern366 = Pattern(Integral(sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda p: Unequal(p, S(2))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))))
rule366 = ReplacementRule(pattern366, lambda p, x, a, n, b, c : x*tanh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))) + x*sech(a + b*log(c*x**n))**(p + S(-2))/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))) + (b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))*Int(sech(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))))
rubi.add(rule366)
pattern367 = Pattern(Integral(csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda p: Unequal(p, S(2))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))))
rule367 = ReplacementRule(pattern367, lambda p, x, a, n, b, c : -x*coth(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))) - x*csch(a + b*log(c*x**n))**(p + S(-2))/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))) - (b**S(2)*n**S(2)*(p + S(-2))**S(2) + S(-1))*Int(csch(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))))
rubi.add(rule367)
pattern368 = Pattern(Integral(sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule368 = ReplacementRule(pattern368, lambda p, x, a, n, b, c : b**S(2)*n**S(2)*p*(p + S(1))*Int(sech(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - b*n*p*x*sinh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(1))/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - x*sech(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) + S(-1)))
rubi.add(rule368)
pattern369 = Pattern(Integral(csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule369 = ReplacementRule(pattern369, lambda p, x, a, n, b, c : -b**S(2)*n**S(2)*p*(p + S(1))*Int(csch(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - b*n*p*x*Cosh(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(1))/(b**S(2)*n**S(2)*p**S(2) + S(-1)) - x*csch(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) + S(-1)))
rubi.add(rule369)
pattern370 = Pattern(Integral(sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule370 = ReplacementRule(pattern370, lambda p, x, a, n, b, c : S(2)**p*x*((c*x**n)**b*exp(a)/((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(1)))**p*((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(1))**p*Hypergeometric2F1(p, (b*n*p + S(1))/(S(2)*b*n), S(1) + (b*n*p + S(1))/(S(2)*b*n), -(c*x**n)**(S(2)*b)*exp(S(2)*a))/(b*n*p + S(1)))
rubi.add(rule370)
pattern371 = Pattern(Integral(csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) + S(-1))))
rule371 = ReplacementRule(pattern371, lambda p, x, a, n, b, c : x*((c*x**n)**b*exp(a)/((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(-1)))**p*(-S(2)*(c*x**n)**(S(2)*b)*exp(S(2)*a) + S(2))**p*Hypergeometric2F1(p, (b*n*p + S(1))/(S(2)*b*n), S(1) + (b*n*p + S(1))/(S(2)*b*n), (c*x**n)**(S(2)*b)*exp(S(2)*a))/(b*n*p + S(1)))
rubi.add(rule371)
pattern372 = Pattern(Integral(x_**WC('m', S(1))*sech(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, m, p, b: RationalQ(b, m, n, p)))
rule372 = ReplacementRule(pattern372, lambda p, m, c, x, n, b : S(2)**p*Int(x**m*((c*x**n)**b/((c*x**n)**(S(2)*b) + S(1)))**p, x))
rubi.add(rule372)
pattern373 = Pattern(Integral(x_**WC('m', S(1))*csch(WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda n, m, p, b: RationalQ(b, m, n, p)))
rule373 = ReplacementRule(pattern373, lambda p, m, c, x, n, b : S(2)**p*Int(x**m*((c*x**n)**b/((c*x**n)**(S(2)*b) + S(-1)))**p, x))
rubi.add(rule373)
pattern374 = Pattern(Integral(x_**WC('m', S(1))*sec(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, b: ZeroQ(b**S(2)*n**S(2) - (m + S(1))**S(2))))
rule374 = ReplacementRule(pattern374, lambda m, x, a, n, b, c : S(2)*Int(x**m*(c*x**n)**((m + S(1))/n)/((c*x**n)**(S(2)*(m + S(1))/n) + exp(-S(2)*a*b*n/(m + S(1)))), x)*exp(-a*b*n/(m + S(1))))
rubi.add(rule374)
pattern375 = Pattern(Integral(x_**WC('m', S(1))*csc(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m, b: ZeroQ(b**S(2)*n**S(2) - (m + S(1))**S(2))))
rule375 = ReplacementRule(pattern375, lambda m, x, a, n, b, c : -S(2)*b*n*Int(x**m*(c*x**n)**((m + S(1))/n)/(-(c*x**n)**(S(2)*(m + S(1))/n) + exp(-S(2)*a*b*n/(m + S(1)))), x)*exp(-a*b*n/(m + S(1)))/(m + S(1)))
rubi.add(rule375)
pattern376 = Pattern(Integral(x_**WC('m', S(1))*sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + (m + S(1))**S(2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule376 = ReplacementRule(pattern376, lambda p, m, x, a, n, b, c : x**(m + S(1))*(p + S(-2))*sech(a + b*log(c*x**n))**(p + S(-2))/((m + S(1))*(p + S(-1))) + x**(m + S(1))*tanh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))))
rubi.add(rule376)
pattern377 = Pattern(Integral(x_**WC('m', S(1))*csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: ZeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) + (m + S(1))**S(2))), CustomConstraint(lambda m: NonzeroQ(m + S(1))), CustomConstraint(lambda p: NonzeroQ(p + S(-1))))
rule377 = ReplacementRule(pattern377, lambda p, m, x, a, n, b, c : x**(m + S(1))*(-p + S(2))*csch(a + b*log(c*x**n))**(p + S(-2))/((m + S(1))*(p + S(-1))) - x**(m + S(1))*coth(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))))
rubi.add(rule377)
pattern378 = Pattern(Integral(x_**WC('m', S(1))*sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda p: Unequal(p, S(2))), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) - (m + S(1))**S(2))))
rule378 = ReplacementRule(pattern378, lambda p, m, x, a, n, b, c : x**(m + S(1))*tanh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))) + x**(m + S(1))*(m + S(1))*sech(a + b*log(c*x**n))**(p + S(-2))/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))) + (b**S(2)*n**S(2)*(p + S(-2))**S(2) - (m + S(1))**S(2))*Int(x**m*sech(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))))
rubi.add(rule378)
pattern379 = Pattern(Integral(x_**WC('m', S(1))*csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(1))), CustomConstraint(lambda p: Unequal(p, S(2))), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*(p + S(-2))**S(2) - (m + S(1))**S(2))))
rule379 = ReplacementRule(pattern379, lambda p, m, x, a, n, b, c : -x**(m + S(1))*coth(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(-2))/(b*n*(p + S(-1))) - x**(m + S(1))*(m + S(1))*csch(a + b*log(c*x**n))**(p + S(-2))/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))) - (b**S(2)*n**S(2)*(p + S(-2))**S(2) - (m + S(1))**S(2))*Int(x**m*csch(a + b*log(c*x**n))**(p + S(-2)), x)/(b**S(2)*n**S(2)*(p + S(-2))*(p + S(-1))))
rubi.add(rule379)
pattern380 = Pattern(Integral(x_**WC('m', S(1))*sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule380 = ReplacementRule(pattern380, lambda p, m, x, a, n, b, c : b**S(2)*n**S(2)*p*(p + S(1))*Int(x**m*sech(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) - b*n*p*x**(m + S(1))*sinh(a + b*log(c*x**n))*sech(a + b*log(c*x**n))**(p + S(1))/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*sech(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)))
rubi.add(rule380)
pattern381 = Pattern(Integral(x_**WC('m', S(1))*csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**p_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Less(p, S(-1))), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule381 = ReplacementRule(pattern381, lambda p, m, x, a, n, b, c : -b**S(2)*n**S(2)*p*(p + S(1))*Int(x**m*csch(a + b*log(c*x**n))**(p + S(2)), x)/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) - b*n*p*x**(m + S(1))*Cosh(a + b*log(c*x**n))*csch(a + b*log(c*x**n))**(p + S(1))/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)) + x**(m + S(1))*(-m + S(-1))*csch(a + b*log(c*x**n))**p/(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2)))
rubi.add(rule381)
pattern382 = Pattern(Integral(x_**WC('m', S(1))*sech(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule382 = ReplacementRule(pattern382, lambda p, m, x, a, n, b, c : S(2)**p*x**(m + S(1))*((c*x**n)**b*exp(a)/((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(1)))**p*((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(1))**p*Hypergeometric2F1(p, (b*n*p + m + S(1))/(S(2)*b*n), S(1) + (b*n*p + m + S(1))/(S(2)*b*n), -(c*x**n)**(S(2)*b)*exp(S(2)*a))/(b*n*p + m + S(1)))
rubi.add(rule382)
pattern383 = Pattern(Integral(x_**WC('m', S(1))*csch(WC('a', S(0)) + WC('b', S(1))*log(x_**WC('n', S(1))*WC('c', S(1))))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda p, x: FreeQ(p, x)), CustomConstraint(lambda n, m, p, b: NonzeroQ(b**S(2)*n**S(2)*p**S(2) - (m + S(1))**S(2))))
rule383 = ReplacementRule(pattern383, lambda p, m, x, a, n, b, c : S(2)**p*x**(m + S(1))*((c*x**n)**b*exp(a)/((c*x**n)**(S(2)*b)*exp(S(2)*a) + S(-1)))**p*(-(c*x**n)**(S(2)*b)*exp(S(2)*a) + S(1))**p*Hypergeometric2F1(p, (b*n*p + m + S(1))/(S(2)*b*n), S(1) + (b*n*p + m + S(1))/(S(2)*b*n), (c*x**n)**(S(2)*b)*exp(S(2)*a))/(b*n*p + m + S(1)))
rubi.add(rule383)
pattern384 = Pattern(Integral(log(x_*WC('b', S(1)))**WC('p', S(1))*sinh(x_*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule384 = ReplacementRule(pattern384, lambda p, x, a, b : -p*Int(log(b*x)**(p + S(-1))*sinh(a*x*log(b*x)**p), x) + Cosh(a*x*log(b*x)**p)/a)
rubi.add(rule384)
pattern385 = Pattern(Integral(Cosh(x_*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1)))*log(x_*WC('b', S(1)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule385 = ReplacementRule(pattern385, lambda p, x, a, b : -p*Int(Cosh(a*x*log(b*x)**p)*log(b*x)**(p + S(-1)), x) + sinh(a*x*log(b*x)**p)/a)
rubi.add(rule385)
pattern386 = Pattern(Integral(log(x_*WC('b', S(1)))**WC('p', S(1))*sinh(x_**n_*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, p: RationalQ(n, p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule386 = ReplacementRule(pattern386, lambda p, x, a, n, b : -p*Int(log(b*x)**(p + S(-1))*sinh(a*x**n*log(b*x)**p), x)/n + x**(-n + S(1))*Cosh(a*x**n*log(b*x)**p)/(a*n) + (n + S(-1))*Int(x**(-n)*Cosh(a*x**n*log(b*x)**p), x)/(a*n))
rubi.add(rule386)
pattern387 = Pattern(Integral(Cosh(x_**n_*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1)))*log(x_*WC('b', S(1)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, p: RationalQ(n, p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule387 = ReplacementRule(pattern387, lambda p, x, a, n, b : -p*Int(Cosh(a*x**n*log(b*x)**p)*log(b*x)**(p + S(-1)), x)/n + x**(-n + S(1))*sinh(a*x**n*log(b*x)**p)/(a*n) + (n + S(-1))*Int(x**(-n)*sinh(a*x**n*log(b*x)**p), x)/(a*n))
rubi.add(rule387)
pattern388 = Pattern(Integral(x_**WC('m', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1))*sinh(x_**WC('n', S(1))*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule388 = ReplacementRule(pattern388, lambda p, m, x, a, n, b : -p*Int(x**(n + S(-1))*log(b*x)**(p + S(-1))*sinh(a*x**n*log(b*x)**p), x)/n - Cosh(a*x**n*log(b*x)**p)/(a*n))
rubi.add(rule388)
pattern389 = Pattern(Integral(x_**WC('m', S(1))*Cosh(x_**WC('n', S(1))*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1)))*log(x_*WC('b', S(1)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda n, m: ZeroQ(m - n + S(1))), CustomConstraint(lambda p: RationalQ(p)), CustomConstraint(lambda p: Greater(p, S(0))))
rule389 = ReplacementRule(pattern389, lambda p, m, x, a, n, b : -p*Int(x**(n + S(-1))*Cosh(a*x**n*log(b*x)**p)*log(b*x)**(p + S(-1)), x)/n + sinh(a*x**n*log(b*x)**p)/(a*n))
rubi.add(rule389)
pattern390 = Pattern(Integral(x_**m_*log(x_*WC('b', S(1)))**WC('p', S(1))*sinh(x_**WC('n', S(1))*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m, p: RationalQ(m, n, p)), CustomConstraint(lambda p: Greater(p, S(0))), CustomConstraint(lambda n, m: NonzeroQ(m - n + S(1))))
rule390 = ReplacementRule(pattern390, lambda p, m, x, a, n, b : -p*Int(x**m*log(b*x)**(p + S(-1))*sinh(a*x**n*log(b*x)**p), x)/n + x**(m - n + S(1))*Cosh(a*x**n*log(b*x)**p)/(a*n) - (m - n + S(1))*Int(x**(m - n)*Cosh(a*x**n*log(b*x)**p), x)/(a*n))
rubi.add(rule390)
pattern391 = Pattern(Integral(x_**m_*Cosh(x_**WC('n', S(1))*WC('a', S(1))*log(x_*WC('b', S(1)))**WC('p', S(1)))*log(x_*WC('b', S(1)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m, p: RationalQ(m, n, p)), CustomConstraint(lambda p: Greater(p, S(0))), CustomConstraint(lambda n, m: NonzeroQ(m - n + S(1))))
rule391 = ReplacementRule(pattern391, lambda p, m, x, a, n, b : -p*Int(x**m*Cosh(a*x**n*log(b*x)**p)*log(b*x)**(p + S(-1)), x)/n + x**(m - n + S(1))*sinh(a*x**n*log(b*x)**p)/(a*n) - (m - n + S(1))*Int(x**(m - n)*sinh(a*x**n*log(b*x)**p), x)/(a*n))
rubi.add(rule391)
pattern392 = Pattern(Integral(sinh(WC('a', S(1))/(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule392 = ReplacementRule(pattern392, lambda x, a, d, n, c : -Subst(Int(sinh(a*x)**n/x**S(2), x), x, 1/(c + d*x))/d)
rubi.add(rule392)
pattern393 = Pattern(Integral(Cosh(WC('a', S(1))/(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)))
rule393 = ReplacementRule(pattern393, lambda x, a, d, n, c : -Subst(Int(Cosh(a*x)**n/x**S(2), x), x, 1/(c + d*x))/d)
rubi.add(rule393)
pattern394 = Pattern(Integral(sinh((x_*WC('b', S(1)) + WC('a', S(0)))*WC('e', S(1))/(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule394 = ReplacementRule(pattern394, lambda e, x, a, d, n, b, c : -Subst(Int(sinh(b*e/d - e*x*(-a*d + b*c)/d)**n/x**S(2), x), x, 1/(c + d*x))/d)
rubi.add(rule394)
pattern395 = Pattern(Integral(Cosh((x_*WC('b', S(1)) + WC('a', S(0)))*WC('e', S(1))/(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule395 = ReplacementRule(pattern395, lambda e, x, a, d, n, b, c : -Subst(Int(Cosh(b*e/d - e*x*(-a*d + b*c)/d)**n/x**S(2), x), x, 1/(c + d*x))/d)
rubi.add(rule395)
pattern396 = Pattern(Integral(sinh(u_)**WC('n', S(1)), x_), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda u, x: QuotientOfLinearsQ(u, x)), )
def With396(n, u, x):
lst = QuotientOfLinearsParts(u, x)
return Int(sinh((x*Part(lst, S(2)) + Part(lst, S(1)))/(x*Part(lst, S(4)) + Part(lst, S(3))))**n, x)
rule396 = ReplacementRule(pattern396, lambda n, u, x : With396(n, u, x))
rubi.add(rule396)
pattern397 = Pattern(Integral(Cosh(u_)**WC('n', S(1)), x_), CustomConstraint(lambda n: PositiveIntegerQ(n)), CustomConstraint(lambda u, x: QuotientOfLinearsQ(u, x)), )
def With397(n, u, x):
lst = QuotientOfLinearsParts(u, x)
return Int(Cosh((x*Part(lst, S(2)) + Part(lst, S(1)))/(x*Part(lst, S(4)) + Part(lst, S(3))))**n, x)
rule397 = ReplacementRule(pattern397, lambda n, u, x : With397(n, u, x))
rubi.add(rule397)
pattern398 = Pattern(Integral(WC('u', S(1))*sinh(v_)**WC('p', S(1))*sinh(w_)**WC('q', S(1)), x_), CustomConstraint(lambda v, w: ZeroQ(v - w)))
rule398 = ReplacementRule(pattern398, lambda p, x, w, v, u, q : Int(u*sinh(v)**(p + q), x))
rubi.add(rule398)
pattern399 = Pattern(Integral(Cosh(v_)**WC('p', S(1))*Cosh(w_)**WC('q', S(1))*WC('u', S(1)), x_), CustomConstraint(lambda v, w: ZeroQ(v - w)))
rule399 = ReplacementRule(pattern399, lambda p, x, w, v, u, q : Int(u*Cosh(v)**(p + q), x))
rubi.add(rule399)
pattern400 = Pattern(Integral(sinh(v_)**WC('p', S(1))*sinh(w_)**WC('q', S(1)), x_), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule400 = ReplacementRule(pattern400, lambda p, x, w, v, q : Int(ExpandTrigReduce(sinh(v)**p*sinh(w)**q, x), x))
rubi.add(rule400)
pattern401 = Pattern(Integral(Cosh(v_)**WC('p', S(1))*Cosh(w_)**WC('q', S(1)), x_), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule401 = ReplacementRule(pattern401, lambda p, x, w, v, q : Int(ExpandTrigReduce(Cosh(v)**p*Cosh(w)**q, x), x))
rubi.add(rule401)
pattern402 = Pattern(Integral(x_**WC('m', S(1))*sinh(v_)**WC('p', S(1))*sinh(w_)**WC('q', S(1)), x_), CustomConstraint(lambda p, m, q: PositiveIntegerQ(m, p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule402 = ReplacementRule(pattern402, lambda p, m, x, w, v, q : Int(ExpandTrigReduce(x**m, sinh(v)**p*sinh(w)**q, x), x))
rubi.add(rule402)
pattern403 = Pattern(Integral(x_**WC('m', S(1))*Cosh(v_)**WC('p', S(1))*Cosh(w_)**WC('q', S(1)), x_), CustomConstraint(lambda p, m, q: PositiveIntegerQ(m, p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule403 = ReplacementRule(pattern403, lambda p, m, x, w, v, q : Int(ExpandTrigReduce(x**m, Cosh(v)**p*Cosh(w)**q, x), x))
rubi.add(rule403)
pattern404 = Pattern(Integral(Cosh(w_)**WC('p', S(1))*WC('u', S(1))*sinh(v_)**WC('p', S(1)), x_), CustomConstraint(lambda v, w: ZeroQ(v - w)), CustomConstraint(lambda p: IntegerQ(p)))
rule404 = ReplacementRule(pattern404, lambda p, x, w, v, u : S(2)**(-p)*Int(u*sinh(S(2)*v)**p, x))
rubi.add(rule404)
pattern405 = Pattern(Integral(Cosh(w_)**WC('q', S(1))*sinh(v_)**WC('p', S(1)), x_), CustomConstraint(lambda p, q: PositiveIntegerQ(p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule405 = ReplacementRule(pattern405, lambda p, x, w, v, q : Int(ExpandTrigReduce(Cosh(w)**q*sinh(v)**p, x), x))
rubi.add(rule405)
pattern406 = Pattern(Integral(x_**WC('m', S(1))*Cosh(w_)**WC('q', S(1))*sinh(v_)**WC('p', S(1)), x_), CustomConstraint(lambda p, m, q: PositiveIntegerQ(m, p, q)), CustomConstraint(lambda v, x, w: (PolynomialQ(v, x) & PolynomialQ(w, x)) | (BinomialQ(List(v, w), x) & IndependentQ(v/w, x))))
rule406 = ReplacementRule(pattern406, lambda p, m, x, w, v, q : Int(ExpandTrigReduce(x**m, Cosh(w)**q*sinh(v)**p, x), x))
rubi.add(rule406)
pattern407 = Pattern(Integral(sinh(v_)*tanh(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule407 = ReplacementRule(pattern407, lambda n, v, x, w : -Cosh(v - w)*Int(tanh(w)**(n + S(-1))*sech(w), x) + Int(Cosh(v)*tanh(w)**(n + S(-1)), x))
rubi.add(rule407)
pattern408 = Pattern(Integral(Cosh(v_)*coth(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule408 = ReplacementRule(pattern408, lambda n, v, x, w : Cosh(v - w)*Int(coth(w)**(n + S(-1))*csch(w), x) + Int(sinh(v)*coth(w)**(n + S(-1)), x))
rubi.add(rule408)
pattern409 = Pattern(Integral(sinh(v_)*coth(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule409 = ReplacementRule(pattern409, lambda n, v, x, w : Int(Cosh(v)*coth(w)**(n + S(-1)), x) + Int(coth(w)**(n + S(-1))*csch(w), x)*sinh(v - w))
rubi.add(rule409)
pattern410 = Pattern(Integral(Cosh(v_)*tanh(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule410 = ReplacementRule(pattern410, lambda n, v, x, w : Int(sinh(v)*tanh(w)**(n + S(-1)), x) - Int(tanh(w)**(n + S(-1))*sech(w), x)*sinh(v - w))
rubi.add(rule410)
pattern411 = Pattern(Integral(sinh(v_)*sech(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule411 = ReplacementRule(pattern411, lambda n, v, x, w : Cosh(v - w)*Int(tanh(w)*sech(w)**(n + S(-1)), x) + Int(sech(w)**(n + S(-1)), x)*sinh(v - w))
rubi.add(rule411)
pattern412 = Pattern(Integral(Cosh(v_)*csch(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule412 = ReplacementRule(pattern412, lambda n, v, x, w : Cosh(v - w)*Int(coth(w)*csch(w)**(n + S(-1)), x) + Int(csch(w)**(n + S(-1)), x)*sinh(v - w))
rubi.add(rule412)
pattern413 = Pattern(Integral(sinh(v_)*csch(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule413 = ReplacementRule(pattern413, lambda n, v, x, w : Cosh(v - w)*Int(csch(w)**(n + S(-1)), x) + Int(coth(w)*csch(w)**(n + S(-1)), x)*sinh(v - w))
rubi.add(rule413)
pattern414 = Pattern(Integral(Cosh(v_)*sech(w_)**WC('n', S(1)), x_), CustomConstraint(lambda v, x: FreeQ(v, x)), CustomConstraint(lambda w: FreeQ(Mul(S(-1), w), x)), CustomConstraint(lambda n: RationalQ(n)), CustomConstraint(lambda n: Greater(n, S(0))), CustomConstraint(lambda v, w: NonzeroQ(v - w)))
rule414 = ReplacementRule(pattern414, lambda n, v, x, w : Cosh(v - w)*Int(sech(w)**(n + S(-1)), x) + Int(tanh(w)*sech(w)**(n + S(-1)), x)*sinh(v - w))
rubi.add(rule414)
pattern415 = Pattern(Integral((a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))))**WC('n', S(1))*(x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m, x: FreeQ(m, x)), CustomConstraint(lambda n, x: FreeQ(n, x)))
rule415 = ReplacementRule(pattern415, lambda m, e, x, f, d, a, n, b, c : Int((a + b*sinh(S(2)*c + S(2)*d*x)/S(2))**n*(e + f*x)**m, x))
rubi.add(rule415)
pattern416 = Pattern(Integral(x_**WC('m', S(1))*(a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))**S(2))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda b, a: NonzeroQ(a - b)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda m: Greater(m, S(0))), CustomConstraint(lambda n: Less(n, S(0))), CustomConstraint(lambda n, m: Equal(n, S(-1)) | (Equal(m, S(1)) & Equal(n, S(-2)))))
rule416 = ReplacementRule(pattern416, lambda m, x, a, d, n, b, c : S(2)**(-n)*Int(x**m*(S(2)*a + b*Cosh(S(2)*c + S(2)*d*x) - b)**n, x))
rubi.add(rule416)
pattern417 = Pattern(Integral(x_**WC('m', S(1))*(a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**S(2)*WC('b', S(1)))**n_, x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda b, a: NonzeroQ(a + b)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda m: Greater(m, S(0))), CustomConstraint(lambda n: Less(n, S(0))), CustomConstraint(lambda n, m: Equal(n, S(-1)) | (Equal(m, S(1)) & Equal(n, S(-2)))))
rule417 = ReplacementRule(pattern417, lambda m, c, x, a, d, n, b : S(2)**(-n)*Int(x**m*(S(2)*a + b*Cosh(S(2)*c + S(2)*d*x) + b)**n, x))
rubi.add(rule417)
pattern418 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh((c_ + x_*WC('d', S(1)))**n_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda p: RationalQ(p)))
rule418 = ReplacementRule(pattern418, lambda p, m, c, e, x, a, f, d, n, b : d**(-m + S(-1))*Subst(Int((-c*f + d*e + f*x)**m*sinh(a + b*x**n)**p, x), x, c + d*x))
rubi.add(rule418)
pattern419 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh((c_ + x_*WC('d', S(1)))**n_*WC('b', S(1)) + WC('a', S(0)))**WC('p', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda p: RationalQ(p)))
rule419 = ReplacementRule(pattern419, lambda p, m, c, e, x, a, d, f, n, b : d**(-m + S(-1))*Subst(Int((-c*f + d*e + f*x)**m*Cosh(a + b*x**n)**p, x), x, c + d*x))
rubi.add(rule419)
pattern420 = Pattern(Integral((x_*WC('g', S(1)) + WC('f', S(0)))**WC('m', S(1))/(Cosh(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)*WC('b', S(1)) + WC('a', S(0)) + WC('c', S(1))*sinh(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda b, a: NonzeroQ(a + b)), CustomConstraint(lambda c, a: NonzeroQ(a + c)))
rule420 = ReplacementRule(pattern420, lambda m, c, e, x, a, d, f, g, b : S(2)*Int((f + g*x)**m/(S(2)*a + b - c + (b + c)*Cosh(S(2)*d + S(2)*e*x)), x))
rubi.add(rule420)
pattern421 = Pattern(Integral((x_*WC('g', S(1)) + WC('f', S(0)))**WC('m', S(1))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)/(b_ + WC('c', S(1))*tanh(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule421 = ReplacementRule(pattern421, lambda m, e, x, f, d, g, b, c : S(2)*Int((f + g*x)**m/(b - c + (b + c)*Cosh(S(2)*d + S(2)*e*x)), x))
rubi.add(rule421)
pattern422 = Pattern(Integral((x_*WC('g', S(1)) + WC('f', S(0)))**WC('m', S(1))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)/(WC('a', S(1))*sech(x_*WC('e', S(1)) + WC('d', S(0)))**S(2) + WC('b', S(0)) + WC('c', S(1))*tanh(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda b, a: NonzeroQ(a + b)), CustomConstraint(lambda c, a: NonzeroQ(a + c)))
rule422 = ReplacementRule(pattern422, lambda m, c, e, x, f, d, a, g, b : S(2)*Int((f + g*x)**m/(S(2)*a + b - c + (b + c)*Cosh(S(2)*d + S(2)*e*x)), x))
rubi.add(rule422)
pattern423 = Pattern(Integral((x_*WC('g', S(1)) + WC('f', S(0)))**WC('m', S(1))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)/(c_ + WC('b', S(1))*coth(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)), x_), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule423 = ReplacementRule(pattern423, lambda m, c, e, x, f, d, g, b : S(2)*Int((f + g*x)**m/(b - c + (b + c)*Cosh(S(2)*d + S(2)*e*x)), x))
rubi.add(rule423)
pattern424 = Pattern(Integral((x_*WC('g', S(1)) + WC('f', S(0)))**WC('m', S(1))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**S(2)/(WC('a', S(1))*csch(x_*WC('e', S(1)) + WC('d', S(0)))**S(2) + WC('b', S(1))*coth(x_*WC('e', S(1)) + WC('d', S(0)))**S(2) + WC('c', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda g, x: FreeQ(g, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda b, a: NonzeroQ(a + b)), CustomConstraint(lambda c, a: NonzeroQ(a + c)))
rule424 = ReplacementRule(pattern424, lambda m, e, x, a, d, f, g, b, c : S(2)*Int((f + g*x)**m/(S(2)*a + b - c + (b + c)*Cosh(S(2)*d + S(2)*e*x)), x))
rubi.add(rule424)
pattern425 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))/(a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule425 = ReplacementRule(pattern425, lambda m, e, x, f, d, a, b, c : Int((e + f*x)**m*exp(c + d*x)/(a + b*exp(c + d*x) - Rt(a**S(2) + b**S(2), S(2))), x) + Int((e + f*x)**m*exp(c + d*x)/(a + b*exp(c + d*x) + Rt(a**S(2) + b**S(2), S(2))), x) - (e + f*x)**(m + S(1))/(b*f*(m + S(1))))
rubi.add(rule425)
pattern426 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))/(a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)))
rule426 = ReplacementRule(pattern426, lambda m, c, e, x, f, d, a, b : Int((e + f*x)**m*exp(c + d*x)/(a + b*exp(c + d*x) - Rt(a**S(2) - b**S(2), S(2))), x) + Int((e + f*x)**m*exp(c + d*x)/(a + b*exp(c + d*x) + Rt(a**S(2) - b**S(2), S(2))), x) - (e + f*x)**(m + S(1))/(b*f*(m + S(1))))
rubi.add(rule426)
pattern427 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**n_/(a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda b, a: ZeroQ(a**S(2) + b**S(2))))
rule427 = ReplacementRule(pattern427, lambda m, e, x, f, d, a, n, b, c : Int((e + f*x)**m*Cosh(c + d*x)**(n + S(-2))*sinh(c + d*x), x)/b + Int((e + f*x)**m*Cosh(c + d*x)**(n + S(-2)), x)/a)
rubi.add(rule427)
pattern428 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))**n_/(a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule428 = ReplacementRule(pattern428, lambda m, c, e, x, f, d, a, n, b : Int((e + f*x)**m*Cosh(c + d*x)*sinh(c + d*x)**(n + S(-2)), x)/b + Int((e + f*x)**m*sinh(c + d*x)**(n + S(-2)), x)/a)
rubi.add(rule428)
pattern429 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**n_/(a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) + b**S(2))))
rule429 = ReplacementRule(pattern429, lambda m, e, x, f, d, a, n, b, c : -a*Int((e + f*x)**m*Cosh(c + d*x)**(n + S(-2)), x)/b**S(2) + Int((e + f*x)**m*Cosh(c + d*x)**(n + S(-2))*sinh(c + d*x), x)/b + (a**S(2) + b**S(2))*Int((e + f*x)**m*Cosh(c + d*x)**(n + S(-2))/(a + b*sinh(c + d*x)), x)/b**S(2))
rubi.add(rule429)
pattern430 = Pattern(Integral((x_*WC('f', S(1)) + WC('e', S(0)))**WC('m', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))**n_/(a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda m: PositiveIntegerQ(m)), CustomConstraint(lambda n: IntegerQ(n)), CustomConstraint(lambda n: Greater(n, S(1))), CustomConstraint(lambda b, a: NonzeroQ(a**S(2) - b**S(2))))
rule430 = ReplacementRule(pattern430, lambda m, c, e, x, f, d, a, n, b : -a*Int((e + f*x)**m*sinh(c + d*x)**(n + S(-2)), x)/b**S(2) + Int((e + f*x)**m*Cosh(c + d*x)*sinh(c + d*x)**(n + S(-2)), x)/b + (a**S(2) - b**S(2))*Int((e + f*x)**m*sinh(c + d*x)**(n + S(-2))/(a + b*Cosh(c + d*x)), x)/b**S(2))
rubi.add(rule430)
pattern431 = Pattern(Integral((A_ + WC('B', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))))*(x_*WC('f', S(1)) + WC('e', S(0)))/(a_ + WC('b', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0))))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda A, x: FreeQ(A, x)), CustomConstraint(lambda B, x: FreeQ(B, x)), CustomConstraint(lambda A, B, b, a: ZeroQ(A*a + B*b)))
rule431 = ReplacementRule(pattern431, lambda A, e, x, f, d, a, b, B, c : -B*f*Int(Cosh(c + d*x)/(a + b*sinh(c + d*x)), x)/(a*d) + B*(e + f*x)*Cosh(c + d*x)/(a*d*(a + b*sinh(c + d*x))))
rubi.add(rule431)
pattern432 = Pattern(Integral((A_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('B', S(1)))*(x_*WC('f', S(1)) + WC('e', S(0)))/(a_ + Cosh(x_*WC('d', S(1)) + WC('c', S(0)))*WC('b', S(1)))**S(2), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda e, x: FreeQ(e, x)), CustomConstraint(lambda f, x: FreeQ(f, x)), CustomConstraint(lambda A, x: FreeQ(A, x)), CustomConstraint(lambda B, x: FreeQ(B, x)), CustomConstraint(lambda A, B, b, a: ZeroQ(A*a - B*b)))
rule432 = ReplacementRule(pattern432, lambda A, c, e, x, f, d, a, B, b : -B*f*Int(sinh(c + d*x)/(a + b*Cosh(c + d*x)), x)/(a*d) + B*(e + f*x)*sinh(c + d*x)/(a*d*(a + b*Cosh(c + d*x))))
rubi.add(rule432)
pattern433 = Pattern(Integral((a_ + WC('b', S(1))*tanh(v_))**WC('n', S(1))*sech(v_)**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda n, m: Equal(m + n, S(0))), CustomConstraint(lambda m: OddQ(m)))
rule433 = ReplacementRule(pattern433, lambda m, x, a, n, v, b : Int((a*Cosh(v) + b*sinh(v))**n, x))
rubi.add(rule433)
pattern434 = Pattern(Integral((a_ + WC('b', S(1))*coth(v_))**WC('n', S(1))*csch(v_)**WC('m', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, m: IntegersQ(m, n)), CustomConstraint(lambda n, m: Equal(m + n, S(0))), CustomConstraint(lambda m: OddQ(m)))
rule434 = ReplacementRule(pattern434, lambda m, x, a, n, v, b : Int((a*sinh(v) + b*Cosh(v))**n, x))
rubi.add(rule434)
pattern435 = Pattern(Integral(WC('u', S(1))*sinh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1))*sinh(x_*WC('d', S(1)) + WC('c', S(0)))**WC('n', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule435 = ReplacementRule(pattern435, lambda m, x, a, d, n, u, b, c : Int(ExpandTrigReduce(u, sinh(a + b*x)**m*sinh(c + d*x)**n, x), x))
rubi.add(rule435)
pattern436 = Pattern(Integral(Cosh(x_*WC('b', S(1)) + WC('a', S(0)))**WC('m', S(1))*Cosh(x_*WC('d', S(1)) + WC('c', S(0)))**WC('n', S(1))*WC('u', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda n, m: PositiveIntegerQ(m, n)))
rule436 = ReplacementRule(pattern436, lambda m, x, a, d, n, b, u, c : Int(ExpandTrigReduce(u, Cosh(a + b*x)**m*Cosh(c + d*x)**n, x), x))
rubi.add(rule436)
pattern437 = Pattern(Integral(sech(c_ + x_*WC('d', S(1)))*sech(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda d, b: ZeroQ(b**S(2) - d**S(2))), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule437 = ReplacementRule(pattern437, lambda x, a, d, b, c : -Int(tanh(a + b*x), x)*csch((-a*d + b*c)/d) + Int(tanh(c + d*x), x)*csch((-a*d + b*c)/b))
rubi.add(rule437)
pattern438 = Pattern(Integral(csch(c_ + x_*WC('d', S(1)))*csch(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda d, b: ZeroQ(b**S(2) - d**S(2))), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule438 = ReplacementRule(pattern438, lambda x, a, d, b, c : Int(coth(a + b*x), x)*csch((-a*d + b*c)/b) - Int(coth(c + d*x), x)*csch((-a*d + b*c)/d))
rubi.add(rule438)
pattern439 = Pattern(Integral(tanh(c_ + x_*WC('d', S(1)))*tanh(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda d, b: ZeroQ(b**S(2) - d**S(2))), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule439 = ReplacementRule(pattern439, lambda x, a, d, b, c : b*x/d - b*Cosh((-a*d + b*c)/d)*Int(sech(a + b*x)*sech(c + d*x), x)/d)
rubi.add(rule439)
pattern440 = Pattern(Integral(coth(c_ + x_*WC('d', S(1)))*coth(x_*WC('b', S(1)) + WC('a', S(0))), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda c, x: FreeQ(c, x)), CustomConstraint(lambda d, x: FreeQ(d, x)), CustomConstraint(lambda d, b: ZeroQ(b**S(2) - d**S(2))), CustomConstraint(lambda d, c, a, b: NonzeroQ(-a*d + b*c)))
rule440 = ReplacementRule(pattern440, lambda x, a, d, b, c : b*x/d + Cosh((-a*d + b*c)/d)*Int(csch(a + b*x)*csch(c + d*x), x))
rubi.add(rule440)
pattern441 = Pattern(Integral((Cosh(v_)*WC('a', S(1)) + WC('b', S(1))*sinh(v_))**WC('n', S(1))*WC('u', S(1)), x_), CustomConstraint(lambda a, x: FreeQ(a, x)), CustomConstraint(lambda b, x: FreeQ(b, x)), CustomConstraint(lambda n, x: FreeQ(n, x)), CustomConstraint(lambda b, a: ZeroQ(a**S(2) - b**S(2))))
rule441 = ReplacementRule(pattern441, lambda x, a, n, v, u, b : Int(u*(a*exp(a*v/b))**n, x))
rubi.add(rule441)
return rubi
| 168.992973 | 6,553 | 0.590928 | 58,376 | 312,637 | 3.132023 | 0.024873 | 0.372653 | 0.325058 | 0.011212 | 0.842853 | 0.839429 | 0.835967 | 0.830082 | 0.822944 | 0.812804 | 0 | 0.037411 | 0.132796 | 312,637 | 1,849 | 6,554 | 169.08437 | 0.636958 | 0 | 0 | 0.014968 | 0 | 0 | 0.007593 | 0.000099 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015681 | false | 0 | 0.00784 | 0 | 0.039202 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
81abee3b092f13cd9c71d75f75376475e917729a | 7,324 | py | Python | rest_api/migrations/0010_auto_20201112_1718.py | InspectorIncognito/gtfs-editor | 4e3245f44ec44aeb2d28aa25786dc95a3193fb81 | [
"MIT"
] | 2 | 2021-10-01T16:11:20.000Z | 2022-01-15T10:55:40.000Z | rest_api/migrations/0010_auto_20201112_1718.py | InspectorIncognito/gtfs-editor | 4e3245f44ec44aeb2d28aa25786dc95a3193fb81 | [
"MIT"
] | 3 | 2021-06-10T19:17:55.000Z | 2022-03-05T08:37:46.000Z | rest_api/migrations/0010_auto_20201112_1718.py | InspectorIncognito/gtfs-editor | 4e3245f44ec44aeb2d28aa25786dc95a3193fb81 | [
"MIT"
] | 1 | 2022-03-05T08:37:53.000Z | 2022-03-05T08:37:53.000Z | # Generated by Django 3.0.7 on 2020-11-12 20:18
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('rest_api', '0009_auto_20201112_1716'),
]
operations = [
migrations.AlterField(
model_name='agency',
name='agency_email',
field=models.EmailField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='agency',
name='agency_fare_url',
field=models.URLField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='agency',
name='agency_lang',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='agency',
name='agency_phone',
field=models.CharField(blank=True, max_length=20, null=True),
),
migrations.AlterField(
model_name='fareattribute',
name='transfers',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='route',
name='route_color',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='route',
name='route_desc',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='route',
name='route_id',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='route',
name='route_long_name',
field=models.CharField(blank=True, max_length=200, null=True),
),
migrations.AlterField(
model_name='route',
name='route_short_name',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='route',
name='route_text_color',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='route',
name='route_url',
field=models.URLField(blank=True, null=True),
),
migrations.AlterField(
model_name='stop',
name='level',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='rest_api.Level'),
),
migrations.AlterField(
model_name='stop',
name='location_type',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='stop',
name='parent_station',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='rest_api.Stop'),
),
migrations.AlterField(
model_name='stop',
name='platform_code',
field=models.CharField(blank=True, max_length=200, null=True),
),
migrations.AlterField(
model_name='stop',
name='stop_code',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='stop',
name='stop_desc',
field=models.CharField(blank=True, max_length=200, null=True),
),
migrations.AlterField(
model_name='stop',
name='stop_timezone',
field=models.CharField(blank=True, max_length=200, null=True),
),
migrations.AlterField(
model_name='stop',
name='stop_url',
field=models.URLField(blank=True, null=True),
),
migrations.AlterField(
model_name='stop',
name='wheelchair_boarding',
field=models.CharField(blank=True, max_length=200, null=True),
),
migrations.AlterField(
model_name='stop',
name='zone_id',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='arrival_time',
field=models.TimeField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='continuous_dropoff',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='continuous_pickup',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='departure_time',
field=models.TimeField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='drop_off_type',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='pickup_type',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='shape_dist_traveled',
field=models.FloatField(blank=True, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='stop_headsign',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='stoptime',
name='timepoint',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='transfer',
name='min_transfer_time',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='trip',
name='bikes_allowed',
field=models.IntegerField(blank=True, null=True),
),
migrations.AlterField(
model_name='trip',
name='block_id',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='trip',
name='direction_id',
field=models.BooleanField(blank=True, null=True),
),
migrations.AlterField(
model_name='trip',
name='shape',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='rest_api.Shape'),
),
migrations.AlterField(
model_name='trip',
name='trip_headsign',
field=models.CharField(blank=True, max_length=100, null=True),
),
migrations.AlterField(
model_name='trip',
name='trip_short_name',
field=models.CharField(blank=True, max_length=50, null=True),
),
migrations.AlterField(
model_name='trip',
name='wheelchair_accessible',
field=models.IntegerField(blank=True, null=True),
),
]
| 34.87619 | 126 | 0.55953 | 719 | 7,324 | 5.541029 | 0.143255 | 0.195783 | 0.244729 | 0.283886 | 0.862952 | 0.862952 | 0.829568 | 0.7874 | 0.75753 | 0.743474 | 0 | 0.015863 | 0.320044 | 7,324 | 209 | 127 | 35.043062 | 0.784137 | 0.006144 | 0 | 0.714286 | 1 | 0 | 0.106637 | 0.006046 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.009852 | 0 | 0.024631 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
81bf13112d29e0ce10b612d15abc2b5cdbb7a730 | 99,858 | py | Python | openprocurement/auctions/insider/tests/tender.py | kukirokuk/dutchsales | 41f6fca69c8ecd9dd4c4bba567635b418d371203 | [
"Apache-2.0"
] | null | null | null | openprocurement/auctions/insider/tests/tender.py | kukirokuk/dutchsales | 41f6fca69c8ecd9dd4c4bba567635b418d371203 | [
"Apache-2.0"
] | null | null | null | openprocurement/auctions/insider/tests/tender.py | kukirokuk/dutchsales | 41f6fca69c8ecd9dd4c4bba567635b418d371203 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from copy import deepcopy
from datetime import timedelta, time
from uuid import uuid4
from iso8601 import parse_date
from openprocurement.api.utils import ROUTE_PREFIX
from openprocurement.api.models import get_now, SANDBOX_MODE, TZ
from openprocurement.auctions.insider.models import DGFOtherAssets, DGFFinancialAssets, DGF_ID_REQUIRED_FROM
from openprocurement.auctions.insider.tests.base import (
test_auction_data, test_financial_auction_data,
test_organization, test_financial_organization,
BaseWebTest, BaseAuctionWebTest,
test_financial_auction_data_with_schema, test_auction_data_with_schema)
class AuctionTest(BaseWebTest):
auction = DGFOtherAssets
initial_data = test_auction_data
def test_simple_add_auction(self):
u = self.auction(self.initial_data)
u.auctionID = "UA-EA-X"
assert u.id is None
assert u.rev is None
u.store(self.db)
assert u.id is not None
assert u.rev is not None
fromdb = self.db.get(u.id)
assert u.auctionID == fromdb['auctionID']
assert u.doc_type == "Auction"
u.delete_instance(self.db)
def test_create_role(self):
fields = set([
'awardCriteriaDetails', 'awardCriteriaDetails_en', 'awardCriteriaDetails_ru',
'description', 'description_en', 'description_ru', 'dgfID', 'tenderAttempts',
'features', 'guarantee', 'hasEnquiries', 'items', 'lots', 'minimalStep', 'mode',
'procurementMethodRationale', 'procurementMethodRationale_en', 'procurementMethodRationale_ru',
'procurementMethodType', 'procuringEntity',
'submissionMethodDetails', 'submissionMethodDetails_en', 'submissionMethodDetails_ru',
'title', 'title_en', 'title_ru', 'value', 'auctionPeriod',
'dgfDecisionDate', 'dgfDecisionID',
])
if SANDBOX_MODE:
fields.add('procurementMethodDetails')
self.assertEqual(set(self.auction._fields) - self.auction._options.roles['create'].fields, fields)
def test_edit_role(self):
fields = set([
'features', 'hasEnquiries', 'description', 'description_en', 'description_ru',
'title', 'title_en', 'title_ru', 'dgfID', 'dgfDecisionDate', 'dgfDecisionID', 'tenderAttempts',
])
if SANDBOX_MODE:
fields.add('procurementMethodDetails')
self.assertEqual(set(self.auction._fields) - self.auction._options.roles['edit_active.tendering'].fields, fields)
class AuctionResourceTest(BaseWebTest):
initial_data = test_auction_data
initial_organization = test_organization
def test_empty_listing(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], [])
self.assertNotIn('{\n "', response.body)
self.assertNotIn('callback({', response.body)
self.assertEqual(response.json['next_page']['offset'], '')
self.assertNotIn('prev_page', response.json)
response = self.app.get('/auctions?opt_jsonp=callback')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/javascript')
self.assertNotIn('{\n "', response.body)
self.assertIn('callback({', response.body)
response = self.app.get('/auctions?opt_pretty=1')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertIn('{\n "', response.body)
self.assertNotIn('callback({', response.body)
response = self.app.get('/auctions?opt_jsonp=callback&opt_pretty=1')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/javascript')
self.assertIn('{\n "', response.body)
self.assertIn('callback({', response.body)
response = self.app.get('/auctions?offset=2015-01-01T00:00:00+02:00&descending=1&limit=10')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], [])
self.assertIn('descending=1', response.json['next_page']['uri'])
self.assertIn('limit=10', response.json['next_page']['uri'])
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertIn('limit=10', response.json['prev_page']['uri'])
response = self.app.get('/auctions?feed=changes')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], [])
self.assertEqual(response.json['next_page']['offset'], '')
self.assertNotIn('prev_page', response.json)
response = self.app.get('/auctions?feed=changes&offset=0', status=404)
self.assertEqual(response.status, '404 Not Found')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Offset expired/invalid', u'location': u'params', u'name': u'offset'}
])
response = self.app.get('/auctions?feed=changes&descending=1&limit=10')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], [])
self.assertIn('descending=1', response.json['next_page']['uri'])
self.assertIn('limit=10', response.json['next_page']['uri'])
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertIn('limit=10', response.json['prev_page']['uri'])
def test_listing(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
auctions = []
for i in range(3):
offset = get_now().isoformat()
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auctions.append(response.json['data'])
ids = ','.join([i['id'] for i in auctions])
while True:
response = self.app.get('/auctions')
self.assertTrue(ids.startswith(','.join([i['id'] for i in response.json['data']])))
if len(response.json['data']) == 3:
break
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified']))
self.assertEqual(set([i['id'] for i in response.json['data']]), set([i['id'] for i in auctions]))
self.assertEqual(set([i['dateModified'] for i in response.json['data']]), set([i['dateModified'] for i in auctions]))
self.assertEqual([i['dateModified'] for i in response.json['data']], sorted([i['dateModified'] for i in auctions]))
while True:
response = self.app.get('/auctions?offset={}'.format(offset))
self.assertEqual(response.status, '200 OK')
if len(response.json['data']) == 1:
break
self.assertEqual(len(response.json['data']), 1)
response = self.app.get('/auctions?limit=2')
self.assertEqual(response.status, '200 OK')
self.assertNotIn('prev_page', response.json)
self.assertEqual(len(response.json['data']), 2)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 1)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 0)
response = self.app.get('/auctions', params=[('opt_fields', 'status')])
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified', u'status']))
self.assertIn('opt_fields=status', response.json['next_page']['uri'])
response = self.app.get('/auctions', params=[('opt_fields', 'status,enquiryPeriod')])
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified', u'status', u'enquiryPeriod']))
self.assertIn('opt_fields=status%2CenquiryPeriod', response.json['next_page']['uri'])
response = self.app.get('/auctions?descending=1')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified']))
self.assertEqual(set([i['id'] for i in response.json['data']]), set([i['id'] for i in auctions]))
self.assertEqual([i['dateModified'] for i in response.json['data']], sorted([i['dateModified'] for i in auctions], reverse=True))
response = self.app.get('/auctions?descending=1&limit=2')
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 2)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 1)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 0)
test_auction_data2 = self.initial_data.copy()
test_auction_data2['mode'] = 'test'
response = self.app.post_json('/auctions', {'data': test_auction_data2})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
while True:
response = self.app.get('/auctions?mode=test')
self.assertEqual(response.status, '200 OK')
if len(response.json['data']) == 1:
break
self.assertEqual(len(response.json['data']), 1)
response = self.app.get('/auctions?mode=_all_')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 4)
def test_listing_changes(self):
response = self.app.get('/auctions?feed=changes')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
auctions = []
for i in range(3):
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auctions.append(response.json['data'])
ids = ','.join([i['id'] for i in auctions])
while True:
response = self.app.get('/auctions?feed=changes')
self.assertTrue(ids.startswith(','.join([i['id'] for i in response.json['data']])))
if len(response.json['data']) == 3:
break
self.assertEqual(','.join([i['id'] for i in response.json['data']]), ids)
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified']))
self.assertEqual(set([i['id'] for i in response.json['data']]), set([i['id'] for i in auctions]))
self.assertEqual(set([i['dateModified'] for i in response.json['data']]), set([i['dateModified'] for i in auctions]))
self.assertEqual([i['dateModified'] for i in response.json['data']], sorted([i['dateModified'] for i in auctions]))
response = self.app.get('/auctions?feed=changes&limit=2')
self.assertEqual(response.status, '200 OK')
self.assertNotIn('prev_page', response.json)
self.assertEqual(len(response.json['data']), 2)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 1)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 0)
response = self.app.get('/auctions?feed=changes', params=[('opt_fields', 'status')])
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified', u'status']))
self.assertIn('opt_fields=status', response.json['next_page']['uri'])
response = self.app.get('/auctions?feed=changes', params=[('opt_fields', 'status,enquiryPeriod')])
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified', u'status', u'enquiryPeriod']))
self.assertIn('opt_fields=status%2CenquiryPeriod', response.json['next_page']['uri'])
response = self.app.get('/auctions?feed=changes&descending=1')
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified']))
self.assertEqual(set([i['id'] for i in response.json['data']]), set([i['id'] for i in auctions]))
self.assertEqual([i['dateModified'] for i in response.json['data']], sorted([i['dateModified'] for i in auctions], reverse=True))
response = self.app.get('/auctions?feed=changes&descending=1&limit=2')
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 2)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 1)
response = self.app.get(response.json['next_page']['path'].replace(ROUTE_PREFIX, ''))
self.assertEqual(response.status, '200 OK')
self.assertNotIn('descending=1', response.json['prev_page']['uri'])
self.assertEqual(len(response.json['data']), 0)
test_auction_data2 = self.initial_data.copy()
test_auction_data2['mode'] = 'test'
response = self.app.post_json('/auctions', {'data': test_auction_data2})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
while True:
response = self.app.get('/auctions?feed=changes&mode=test')
self.assertEqual(response.status, '200 OK')
if len(response.json['data']) == 1:
break
self.assertEqual(len(response.json['data']), 1)
response = self.app.get('/auctions?feed=changes&mode=_all_')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 4)
def test_listing_draft(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
auctions = []
data = self.initial_data.copy()
data.update({'status': 'draft'})
for i in range(3):
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auctions.append(response.json['data'])
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
ids = ','.join([i['id'] for i in auctions])
while True:
response = self.app.get('/auctions')
self.assertTrue(ids.startswith(','.join([i['id'] for i in response.json['data']])))
if len(response.json['data']) == 3:
break
self.assertEqual(len(response.json['data']), 3)
self.assertEqual(set(response.json['data'][0]), set([u'id', u'dateModified']))
self.assertEqual(set([i['id'] for i in response.json['data']]), set([i['id'] for i in auctions]))
self.assertEqual(set([i['dateModified'] for i in response.json['data']]), set([i['dateModified'] for i in auctions]))
self.assertEqual([i['dateModified'] for i in response.json['data']], sorted([i['dateModified'] for i in auctions]))
def test_create_auction_invalid(self):
request_path = '/auctions'
response = self.app.post(request_path, 'data', status=415)
self.assertEqual(response.status, '415 Unsupported Media Type')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description':
u"Content-Type header should be one of ['application/json']", u'location': u'header', u'name': u'Content-Type'}
])
response = self.app.post(
request_path, 'data', content_type='application/json', status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'No JSON object could be decoded',
u'location': u'body', u'name': u'data'}
])
response = self.app.post_json(request_path, 'data', status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Data not available',
u'location': u'body', u'name': u'data'}
])
response = self.app.post_json(request_path, {'not_data': {}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Data not available',
u'location': u'body', u'name': u'data'}
])
response = self.app.post_json(request_path, {'data': []}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Data not available',
u'location': u'body', u'name': u'data'}
])
response = self.app.post_json(request_path, {'data': {'procurementMethodType': 'invalid_value'}}, status=415)
self.assertEqual(response.status, '415 Unsupported Media Type')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Not implemented', u'location': u'data', u'name': u'procurementMethodType'}
])
response = self.app.post_json(request_path, {'data': {'invalid_field': 'invalid_value', 'procurementMethodType': self.initial_data['procurementMethodType']}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Rogue field', u'location':
u'body', u'name': u'invalid_field'}
])
response = self.app.post_json(request_path, {'data': {'value': 'invalid_value', 'procurementMethodType': self.initial_data['procurementMethodType']}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [
u'Please use a mapping for this field or Value instance instead of unicode.'], u'location': u'body', u'name': u'value'}
])
response = self.app.post_json(request_path, {'data': {'procurementMethod': 'invalid_value', 'procurementMethodType': self.initial_data['procurementMethodType']}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertIn({u'description': [u"Value must be one of ['open', 'selective', 'limited']."], u'location': u'body', u'name': u'procurementMethod'}, response.json['errors'])
#self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'tenderPeriod'}, response.json['errors'])
self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'minimalStep'}, response.json['errors'])
self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'items'}, response.json['errors'])
#self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'enquiryPeriod'}, response.json['errors'])
self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'value'}, response.json['errors'])
self.assertIn({u'description': [u'This field is required.'], u'location': u'body', u'name': u'items'}, response.json['errors'])
response = self.app.post_json(request_path, {'data': {'enquiryPeriod': {'endDate': 'invalid_value'}, 'procurementMethodType': self.initial_data['procurementMethodType']}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': {u'endDate': [u"Could not parse invalid_value. Should be ISO8601."]}, u'location': u'body', u'name': u'enquiryPeriod'}
])
response = self.app.post_json(request_path, {'data': {'enquiryPeriod': {'endDate': '9999-12-31T23:59:59.999999'}, 'procurementMethodType': self.initial_data['procurementMethodType']}}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': {u'endDate': [u'date value out of range']}, u'location': u'body', u'name': u'enquiryPeriod'}
])
self.initial_data['tenderPeriod'] = self.initial_data.pop('auctionPeriod')
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data['auctionPeriod'] = self.initial_data.pop('tenderPeriod')
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': {u'startDate': [u'This field is required.']}, u'location': u'body', u'name': u'auctionPeriod'}
])
self.initial_data['tenderPeriod'] = {'startDate': '2014-10-31T00:00:00', 'endDate': '2014-10-01T00:00:00'}
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data.pop('tenderPeriod')
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': {u'startDate': [u'period should begin before its end']}, u'location': u'body', u'name': u'tenderPeriod'}
])
#data = self.initial_data['tenderPeriod']
#self.initial_data['tenderPeriod'] = {'startDate': '2014-10-31T00:00:00', 'endDate': '2015-10-01T00:00:00'}
#response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
#self.initial_data['tenderPeriod'] = data
#self.assertEqual(response.status, '422 Unprocessable Entity')
#self.assertEqual(response.content_type, 'application/json')
#self.assertEqual(response.json['status'], 'error')
#self.assertEqual(response.json['errors'], [
#{u'description': [u'period should begin after enquiryPeriod'], u'location': u'body', u'name': u'tenderPeriod'}
#])
now = get_now()
#self.initial_data['awardPeriod'] = {'startDate': now.isoformat(), 'endDate': now.isoformat()}
#response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
#del self.initial_data['awardPeriod']
#self.assertEqual(response.status, '422 Unprocessable Entity')
#self.assertEqual(response.content_type, 'application/json')
#self.assertEqual(response.json['status'], 'error')
#self.assertEqual(response.json['errors'], [
#{u'description': [u'period should begin after tenderPeriod'], u'location': u'body', u'name': u'awardPeriod'}
#])
data = self.initial_data['auctionPeriod']
self.initial_data['auctionPeriod'] = {'startDate': (now + timedelta(days=15)).isoformat(), 'endDate': (now + timedelta(days=15)).isoformat()}
self.initial_data['awardPeriod'] = {'startDate': (now + timedelta(days=14)).isoformat(), 'endDate': (now + timedelta(days=14)).isoformat()}
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data['auctionPeriod'] = data
del self.initial_data['awardPeriod']
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'period should begin after auctionPeriod'], u'location': u'body', u'name': u'awardPeriod'}
])
data = self.initial_data['minimalStep']
self.initial_data['minimalStep'] = {'amount': '1000.0'}
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data['minimalStep'] = data
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'value should be less than value of auction'], u'location': u'body', u'name': u'minimalStep'}
])
data = self.initial_data['minimalStep']
self.initial_data['minimalStep'] = {'amount': '100.0', 'valueAddedTaxIncluded': False}
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data['minimalStep'] = data
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'valueAddedTaxIncluded should be identical to valueAddedTaxIncluded of value of auction'], u'location': u'body', u'name': u'minimalStep'}
])
data = self.initial_data['minimalStep']
self.initial_data['minimalStep'] = {'amount': '100.0', 'currency': "USD"}
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data['minimalStep'] = data
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'currency should be identical to currency of value of auction'], u'location': u'body', u'name': u'minimalStep'}
])
auction_data = deepcopy(self.initial_data)
auction_data['value'] = {'amount': '100.0', 'currency': "USD"}
auction_data['minimalStep'] = {'amount': '5.0', 'currency': "USD"}
response = self.app.post_json(request_path, {'data': auction_data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'currency should be only UAH'], u'location': u'body', u'name': u'value'}
])
data = self.initial_data["procuringEntity"]["contactPoint"]["telephone"]
del self.initial_data["procuringEntity"]["contactPoint"]["telephone"]
response = self.app.post_json(request_path, {'data': self.initial_data}, status=422)
self.initial_data["procuringEntity"]["contactPoint"]["telephone"] = data
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': {u'contactPoint': {u'email': [u'telephone or email should be present']}}, u'location': u'body', u'name': u'procuringEntity'}
])
@unittest.skipIf(get_now() < DGF_ID_REQUIRED_FROM, "Can`t create auction without dgfID only from {}".format(DGF_ID_REQUIRED_FROM))
def test_required_dgf_id(self):
data = self.initial_data.copy()
del data['dgfID']
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [{"location": "body", "name": "dgfID", "description": ["This field is required."]}])
data['dgfID'] = self.initial_data['dgfID']
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertIn('dgfID', auction)
self.assertEqual(data['dgfID'], auction['dgfID'])
def test_create_auction_auctionPeriod(self):
data = self.initial_data.copy()
#tenderPeriod = data.pop('tenderPeriod')
#data['auctionPeriod'] = {'startDate': tenderPeriod['endDate']}
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertIn('tenderPeriod', auction)
self.assertIn('auctionPeriod', auction)
self.assertNotIn('startDate', auction['auctionPeriod'])
self.assertEqual(parse_date(data['auctionPeriod']['startDate']).date(), parse_date(auction['auctionPeriod']['shouldStartAfter'], TZ).date())
if SANDBOX_MODE:
auction_startDate = parse_date(data['auctionPeriod']['startDate'], None)
if not auction_startDate.tzinfo:
auction_startDate = TZ.localize(auction_startDate)
tender_endDate = parse_date(auction['tenderPeriod']['endDate'], None)
if not tender_endDate.tzinfo:
tender_endDate = TZ.localize(tender_endDate)
self.assertLessEqual((auction_startDate - tender_endDate).total_seconds(), 70)
else:
self.assertEqual(parse_date(auction['tenderPeriod']['endDate']).date(), parse_date(data['auctionPeriod']['startDate'], TZ).date() - timedelta(days=1))
self.assertEqual(parse_date(auction['tenderPeriod']['endDate']).time(), time(20, 0))
def test_create_auction_generated(self):
data = self.initial_data.copy()
#del data['awardPeriod']
data.update({'id': 'hash', 'doc_id': 'hash2', 'auctionID': 'hash3'})
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
if 'procurementMethodDetails' in auction:
auction.pop('procurementMethodDetails')
self.assertEqual(set(auction), set([
u'procurementMethodType', u'id', u'date', u'dateModified', u'auctionID', u'status', u'enquiryPeriod',
u'tenderPeriod', u'minimalStep', u'items', u'value', u'procuringEntity', u'next_check', u'dgfID',
u'procurementMethod', u'awardCriteria', u'submissionMethod', u'title', u'owner', u'auctionPeriod',
u'dgfDecisionDate', u'dgfDecisionID', u'documents', u'tenderAttempts',
]))
self.assertNotEqual(data['id'], auction['id'])
self.assertNotEqual(data['doc_id'], auction['id'])
self.assertNotEqual(data['auctionID'], auction['auctionID'])
def test_create_auction_draft(self):
data = self.initial_data.copy()
data.update({'status': 'draft'})
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual(auction['status'], 'draft')
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'value': {'amount': 100}}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u"Can't update auction in current (draft) status", u'location': u'body', u'name': u'data'}
])
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'status': 'active.tendering'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual(auction['status'], 'active.tendering')
response = self.app.get('/auctions/{}'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual(auction['status'], 'active.tendering')
def test_create_auction(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
response = self.app.post_json('/auctions', {"data": self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
if self.initial_organization == test_financial_organization:
self.assertEqual(set(auction) - set(self.initial_data), set([
u'id', u'dateModified', u'auctionID', u'date', u'status', u'procurementMethod', 'documents',
u'awardCriteria', u'submissionMethod', u'next_check', u'owner', u'enquiryPeriod', u'tenderPeriod',
u'eligibilityCriteria_en', u'eligibilityCriteria', u'eligibilityCriteria_ru',
]))
else:
self.assertEqual(set(auction) - set(self.initial_data), set([
u'id', u'dateModified', u'auctionID', u'date', u'status', u'procurementMethod', 'documents',
u'awardCriteria', u'submissionMethod', u'next_check', u'owner', u'enquiryPeriod', u'tenderPeriod',
]))
self.assertIn(auction['id'], response.headers['Location'])
response = self.app.get('/auctions/{}'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(set(response.json['data']), set(auction))
self.assertEqual(response.json['data'], auction)
response = self.app.post_json('/auctions?opt_jsonp=callback', {"data": self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/javascript')
self.assertIn('callback({"', response.body)
response = self.app.post_json('/auctions?opt_pretty=1', {"data": self.initial_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
self.assertIn('{\n "', response.body)
response = self.app.post_json('/auctions', {"data": self.initial_data, "options": {"pretty": True}})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
self.assertIn('{\n "', response.body)
auction_data = deepcopy(self.initial_data)
auction_data['guarantee'] = {"amount": 100500, "currency": "USD"}
response = self.app.post_json('/auctions', {'data': auction_data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
data = response.json['data']
self.assertIn('guarantee', data)
self.assertEqual(data['guarantee']['amount'], 100500)
self.assertEqual(data['guarantee']['currency'], "USD")
def test_get_auction(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
auction = response.json['data']
response = self.app.get('/auctions/{}'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], auction)
response = self.app.get('/auctions/{}?opt_jsonp=callback'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/javascript')
self.assertIn('callback({"data": {"', response.body)
response = self.app.get('/auctions/{}?opt_pretty=1'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertIn('{\n "data": {\n "', response.body)
@unittest.skip("option not available")
def test_auction_features_invalid(self):
data = self.initial_data.copy()
item = data['items'][0].copy()
item['id'] = "1"
data['items'] = [item, item.copy()]
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'Item id should be uniq for all items'], u'location': u'body', u'name': u'items'}
])
data['items'][0]["id"] = "0"
data['features'] = [
{
"code": "OCDS-123454-AIR-INTAKE",
"featureOf": "lot",
"title": u"Потужність всмоктування",
"enum": [
{
"value": 0.1,
"title": u"До 1000 Вт"
},
{
"value": 0.15,
"title": u"Більше 1000 Вт"
}
]
}
]
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [{u'relatedItem': [u'This field is required.']}], u'location': u'body', u'name': u'features'}
])
data['features'][0]["relatedItem"] = "2"
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [{u'relatedItem': [u'relatedItem should be one of lots']}], u'location': u'body', u'name': u'features'}
])
data['features'][0]["featureOf"] = "item"
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [{u'relatedItem': [u'relatedItem should be one of items']}], u'location': u'body', u'name': u'features'}
])
data['features'][0]["relatedItem"] = "1"
data['features'][0]["enum"][0]["value"] = 0.5
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [{u'enum': [{u'value': [u'Float value should be less than 0.3.']}]}], u'location': u'body', u'name': u'features'}
])
data['features'][0]["enum"][0]["value"] = 0.15
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [{u'enum': [u'Feature value should be uniq for feature']}], u'location': u'body', u'name': u'features'}
])
data['features'][0]["enum"][0]["value"] = 0.1
data['features'].append(data['features'][0].copy())
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'Feature code should be uniq for all features'], u'location': u'body', u'name': u'features'}
])
data['features'][1]["code"] = u"OCDS-123454-YEARS"
data['features'][1]["enum"][0]["value"] = 0.2
response = self.app.post_json('/auctions', {'data': data}, status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': [u'Sum of max value of all features should be less then or equal to 30%'], u'location': u'body', u'name': u'features'}
])
@unittest.skip("option not available")
def test_auction_features(self):
data = self.initial_data.copy()
item = data['items'][0].copy()
item['id'] = "1"
data['items'] = [item]
data['features'] = [
{
"code": "OCDS-123454-AIR-INTAKE",
"featureOf": "item",
"relatedItem": "1",
"title": u"Потужність всмоктування",
"title_en": u"Air Intake",
"description": u"Ефективна потужність всмоктування пилососа, в ватах (аероватах)",
"enum": [
{
"value": 0.05,
"title": u"До 1000 Вт"
},
{
"value": 0.1,
"title": u"Більше 1000 Вт"
}
]
},
{
"code": "OCDS-123454-YEARS",
"featureOf": "tenderer",
"title": u"Років на ринку",
"title_en": u"Years trading",
"description": u"Кількість років, які організація учасник працює на ринку",
"enum": [
{
"value": 0.05,
"title": u"До 3 років"
},
{
"value": 0.1,
"title": u"Більше 3 років"
}
]
},
{
"code": "OCDS-123454-POSTPONEMENT",
"featureOf": "tenderer",
"title": u"Відстрочка платежу",
"title_en": u"Postponement of payment",
"description": u"Термін відстрочки платежу",
"enum": [
{
"value": 0.05,
"title": u"До 90 днів"
},
{
"value": 0.1,
"title": u"Більше 90 днів"
}
]
}
]
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual(auction['features'], data['features'])
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'features': [{
"featureOf": "tenderer",
"relatedItem": None
}, {}, {}]}})
self.assertEqual(response.status, '200 OK')
self.assertIn('features', response.json['data'])
self.assertNotIn('relatedItem', response.json['data']['features'][0])
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'tenderPeriod': {'startDate': None}}})
self.assertEqual(response.status, '200 OK')
self.assertIn('features', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'features': []}})
self.assertEqual(response.status, '200 OK')
self.assertNotIn('features', response.json['data'])
@unittest.skip("this test requires fixed version of jsonpatch library")
def test_patch_tender_jsonpatch(self):
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
tender = response.json['data']
owner_token = response.json['access']['token']
dateModified = tender.pop('dateModified')
import random
response = self.app.patch_json('/auctions/{}'.format(tender['id']),
{'data': {'items': [{"additionalClassifications": [
{
"scheme": "ДКПП",
"id": "{}".format(i),
"description": "description #{}".format(i)
}
for i in random.sample(range(30), 25)
]}]}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
response = self.app.patch_json('/auctions/{}'.format(tender['id']),
{'data': {'items': [{"additionalClassifications": [
{
"scheme": "ДКПП",
"id": "{}".format(i),
"description": "description #{}".format(i)
}
for i in random.sample(range(30), 20)
]}]}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
def test_patch_auction(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
auction = response.json['data']
owner_token = response.json['access']['token']
dateModified = auction.pop('dateModified')
response = self.app.patch_json('/auctions/{}?acc_token={}'.format(auction['id'], owner_token), {'data': {'status': 'cancelled'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertNotEqual(response.json['data']['status'], 'cancelled')
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'status': 'cancelled'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertNotEqual(response.json['data']['status'], 'cancelled')
response = self.app.patch_json('/auctions/{}?acc_token={}'.format(auction['id'], owner_token), {'data': {'procuringEntity': {'kind': 'defense'}}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertNotIn('kind', response.json['data']['procuringEntity'])
#response = self.app.patch_json('/auctions/{}'.format(
#auction['id']), {'data': {'tenderPeriod': {'startDate': None}}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#self.assertNotIn('startDate', response.json['data']['tenderPeriod'])
#response = self.app.patch_json('/auctions/{}'.format(
#auction['id']), {'data': {'tenderPeriod': {'startDate': auction['enquiryPeriod']['endDate']}}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#self.assertIn('startDate', response.json['data']['tenderPeriod'])
response = self.app.patch_json('/auctions/{}'.format(
auction['id']), {'data': {'procurementMethodRationale': 'Open'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
new_auction = response.json['data']
new_dateModified = new_auction.pop('dateModified')
#auction['procurementMethodRationale'] = 'Open'
self.assertEqual(auction, new_auction)
self.assertEqual(dateModified, new_dateModified)
response = self.app.patch_json('/auctions/{}'.format(
auction['id']), {'data': {'dateModified': new_dateModified}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
new_auction2 = response.json['data']
new_dateModified2 = new_auction2.pop('dateModified')
self.assertEqual(new_auction, new_auction2)
self.assertEqual(new_dateModified, new_dateModified2)
revisions = self.db.get(auction['id']).get('revisions')
self.assertEqual(revisions[-1][u'changes'][0]['op'], u'remove')
self.assertEqual(revisions[-1][u'changes'][0]['path'], u'/procurementMethod')
response = self.app.patch_json('/auctions/{}'.format(
auction['id']), {'data': {'items': [self.initial_data['items'][0]]}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
#response = self.app.patch_json('/auctions/{}'.format(
#auction['id']), {'data': {'items': [{}, self.initial_data['items'][0]]}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#item0 = response.json['data']['items'][0]
#item1 = response.json['data']['items'][1]
#self.assertNotEqual(item0.pop('id'), item1.pop('id'))
#self.assertEqual(item0, item1)
#response = self.app.patch_json('/auctions/{}'.format(
#auction['id']), {'data': {'items': [{}]}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#self.assertEqual(len(response.json['data']['items']), 1)
#response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'items': [{"classification": {
#"scheme": u"CAV",
#"id": u"04000000-8",
#"description": u"Нерухоме майно"
#}}]}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'items': [{"additionalClassifications": [auction['items'][0]["classification"]]}]}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
response = self.app.patch_json('/auctions/{}'.format(
auction['id']), {'data': {'enquiryPeriod': {'endDate': new_dateModified2}}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
new_auction = response.json['data']
self.assertIn('startDate', new_auction['enquiryPeriod'])
#response = self.app.patch_json('/auctions/{}?acc_token={}'.format(auction['id'], owner_token), {"data": {"guarantee": {"amount": 12, "valueAddedTaxIncluded": True}}}, status=422)
#self.assertEqual(response.status, '422 Unprocessable Entity')
#self.assertEqual(response.json['errors'][0], {u'description': {u'valueAddedTaxIncluded': u'Rogue field'}, u'location': u'body', u'name': u'guarantee'})
#response = self.app.patch_json('/auctions/{}?acc_token={}'.format(auction['id'], owner_token), {"data": {"guarantee": {"amount": 12}}})
#self.assertEqual(response.status, '200 OK')
#self.assertIn('guarantee', response.json['data'])
#self.assertEqual(response.json['data']['guarantee']['amount'], 12)
#self.assertEqual(response.json['data']['guarantee']['currency'], 'UAH')
#response = self.app.patch_json('/auctions/{}?acc_token={}'.format(auction['id'], owner_token), {"data": {"guarantee": {"currency": "USD"}}})
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.json['data']['guarantee']['currency'], 'USD')
#response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'status': 'active.auction'}})
#self.assertEqual(response.status, '200 OK')
#response = self.app.get('/auctions/{}'.format(auction['id']))
#self.assertEqual(response.status, '200 OK')
#self.assertEqual(response.content_type, 'application/json')
#self.assertIn('auctionUrl', response.json['data'])
auction_data = self.db.get(auction['id'])
auction_data['status'] = 'complete'
self.db.save(auction_data)
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'status': 'active.auction'}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'][0]["description"], "Can't update auction in current (complete) status")
def test_dateModified_auction(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
auction = response.json['data']
dateModified = auction['dateModified']
response = self.app.get('/auctions/{}'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data']['dateModified'], dateModified)
response = self.app.patch_json('/auctions/{}'.format(
auction['id']), {'data': {'procurementMethodRationale': 'Open'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data']['dateModified'], dateModified)
auction = response.json['data']
dateModified = auction['dateModified']
response = self.app.get('/auctions/{}'.format(auction['id']))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data'], auction)
self.assertEqual(response.json['data']['dateModified'], dateModified)
def test_auction_not_found(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
response = self.app.get('/auctions/some_id', status=404)
self.assertEqual(response.status, '404 Not Found')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Not Found', u'location': u'url', u'name': u'auction_id'}
])
response = self.app.patch_json(
'/auctions/some_id', {'data': {}}, status=404)
self.assertEqual(response.status, '404 Not Found')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{u'description': u'Not Found', u'location': u'url', u'name': u'auction_id'}
])
# put custom document object into database to check tender construction on non-Tender data
data = {'contract': 'test', '_id': uuid4().hex}
self.db.save(data)
response = self.app.get('/auctions/{}'.format(data['_id']), status=404)
self.assertEqual(response.status, '404 Not Found')
def test_guarantee(self):
data = deepcopy(self.initial_data)
data['guarantee'] = {"amount": 100, "currency": "UAH"}
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertIn('guarantee', response.json['data'])
self.assertEqual(response.json['data']['guarantee']['amount'], 100)
self.assertEqual(response.json['data']['guarantee']['currency'], 'UAH')
def test_auction_Administrator_change(self):
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
auction = response.json['data']
response = self.app.post_json('/auctions/{}/questions'.format(auction['id']), {'data': {'title': 'question title', 'description': 'question description', 'author': self.initial_organization}})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
question = response.json['data']
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'mode': u'test', 'procuringEntity': {"identifier": {"id": "00000000"}}}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data']['mode'], u'test')
self.assertEqual(response.json['data']["procuringEntity"]["identifier"]["id"], "00000000")
response = self.app.patch_json('/auctions/{}/questions/{}'.format(auction['id'], question['id']), {"data": {"answer": "answer"}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'], [
{"location": "url", "name": "role", "description": "Forbidden"}
])
self.app.authorization = authorization
response = self.app.post_json('/auctions', {'data': self.initial_data})
self.assertEqual(response.status, '201 Created')
auction = response.json['data']
response = self.app.post_json('/auctions/{}/cancellations'.format(auction['id']), {'data': {'reason': 'cancellation reason', 'status': 'active'}})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction['id']), {'data': {'mode': u'test'}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['data']['mode'], u'test')
class AuctionProcessTest(BaseAuctionWebTest):
#setUp = BaseWebTest.setUp
def setUp(self):
super(AuctionProcessTest.__bases__[0], self).setUp()
@unittest.skip("option not available")
def test_invalid_auction_conditions(self):
self.app.authorization = ('Basic', ('broker', ''))
# empty auctions listing
response = self.app.get('/auctions')
self.assertEqual(response.json['data'], [])
# create auction
response = self.app.post_json('/auctions',
{"data": self.initial_data})
auction_id = self.auction_id = response.json['data']['id']
owner_token = response.json['access']['token']
# switch to active.tendering
self.set_status('active.tendering')
# create compaint
response = self.app.post_json('/auctions/{}/complaints'.format(auction_id),
{'data': {'title': 'invalid conditions', 'description': 'description', 'author': self.initial_organization, 'status': 'claim'}})
complaint_id = response.json['data']['id']
complaint_owner_token = response.json['access']['token']
# answering claim
self.app.patch_json('/auctions/{}/complaints/{}?acc_token={}'.format(auction_id, complaint_id, owner_token), {"data": {
"status": "answered",
"resolutionType": "resolved",
"resolution": "I will cancel the auction"
}})
# satisfying resolution
self.app.patch_json('/auctions/{}/complaints/{}?acc_token={}'.format(auction_id, complaint_id, complaint_owner_token), {"data": {
"satisfied": True,
"status": "resolved"
}})
# cancellation
self.app.post_json('/auctions/{}/cancellations?acc_token={}'.format(auction_id, owner_token), {'data': {
'reason': 'invalid conditions',
'status': 'active'
}})
# check status
response = self.app.get('/auctions/{}'.format(auction_id))
self.assertEqual(response.json['data']['status'], 'cancelled')
def _test_one_valid_bid_auction(self):
self.app.authorization = ('Basic', ('broker', ''))
# empty auctions listing
response = self.app.get('/auctions')
self.assertEqual(response.json['data'], [])
# create auction
response = self.app.post_json('/auctions',
{"data": self.initial_data})
auction_id = self.auction_id = response.json['data']['id']
owner_token = response.json['access']['token']
# switch to active.tendering
response = self.set_status('active.tendering', {"auctionPeriod": {"startDate": (get_now() + timedelta(days=10)).isoformat()}})
self.assertIn("auctionPeriod", response.json['data'])
# create bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 500}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 500}, 'qualified': True}})
# switch to active.qualification
self.set_status('active.auction', {'status': 'active.tendering'})
self.app.authorization = ('Basic', ('chronograph', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"id": auction_id}})
self.assertNotIn('auctionPeriod', response.json['data'])
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award_id = [i['id'] for i in response.json['data'] if i['status'] == 'pending'][0]
award_date = [i['date'] for i in response.json['data'] if i['status'] == 'pending'][0]
# set award as active
response = self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token), {"data": {"status": "active"}})
self.assertNotEqual(response.json['data']['date'], award_date)
# get contract id
response = self.app.get('/auctions/{}'.format(auction_id))
contract_id = response.json['data']['contracts'][-1]['id']
# after stand slill period
self.app.authorization = ('Basic', ('chronograph', ''))
self.set_status('complete', {'status': 'active.awarded'})
# time travel
auction = self.db.get(auction_id)
for i in auction.get('awards', []):
i['complaintPeriod']['endDate'] = i['complaintPeriod']['startDate']
self.db.save(auction)
# sign contract
self.app.authorization = ('Basic', ('broker', ''))
self.app.patch_json('/auctions/{}/contracts/{}?acc_token={}'.format(auction_id, contract_id, owner_token), {"data": {"status": "active"}})
# check status
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}'.format(auction_id))
self.assertEqual(response.json['data']['status'], 'complete')
def _test_one_invalid_bid_auction(self):
self.app.authorization = ('Basic', ('broker', ''))
# empty auctions listing
response = self.app.get('/auctions')
self.assertEqual(response.json['data'], [])
# create auction
response = self.app.post_json('/auctions',
{"data": self.initial_data})
auction_id = self.auction_id = response.json['data']['id']
owner_token = response.json['access']['token']
# switch to active.tendering
self.set_status('active.tendering')
# create bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True}})
# switch to active.qualification
self.set_status('active.auction', {"auctionPeriod": {"startDate": None}, 'status': 'active.tendering'})
self.app.authorization = ('Basic', ('chronograph', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"id": auction_id}})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award_id = [i['id'] for i in response.json['data'] if i['status'] == 'pending'][0]
# set award as unsuccessful
response = self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token),
{"data": {"status": "unsuccessful"}})
# time travel
auction = self.db.get(auction_id)
for i in auction.get('awards', []):
i['complaintPeriod']['endDate'] = i['complaintPeriod']['startDate']
self.db.save(auction)
# set auction status after stand slill period
self.app.authorization = ('Basic', ('chronograph', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"id": auction_id}})
# check status
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}'.format(auction_id))
self.assertEqual(response.json['data']['status'], 'unsuccessful')
def test_first_bid_auction(self):
self.app.authorization = ('Basic', ('broker', ''))
# empty auctions listing
response = self.app.get('/auctions')
self.assertEqual(response.json['data'], [])
# create auction
response = self.app.post_json('/auctions',
{"data": self.initial_data})
auction_id = self.auction_id = response.json['data']['id']
owner_token = response.json['access']['token']
# switch to active.tendering
self.set_status('active.tendering')
# create bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True}})
bid_id = response.json['data']['id']
bid_token = response.json['access']['token']
bids_tokens = {bid_id: bid_token}
# create second bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True}})
bids_tokens[response.json['data']['id']] = response.json['access']['token']
# switch to active.auction
self.set_status('active.auction')
# get auction info
self.app.authorization = ('Basic', ('auction', ''))
response = self.app.get('/auctions/{}/auction'.format(auction_id))
auction_bids_data = response.json['data']['bids']
# posting auction urls
response = self.app.patch_json('/auctions/{}/auction'.format(auction_id),
{
'data': {
'auctionUrl': 'https://auction.auction.url',
'bids': [
{
'id': i['id'],
'participationUrl': 'https://auction.auction.url/for_bid/{}'.format(i['id'])
}
for i in auction_bids_data
]
}
})
# view bid participationUrl
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bid_id, bid_token))
self.assertEqual(response.json['data']['participationUrl'], 'https://auction.auction.url/for_bid/{}'.format(bid_id))
# posting auction results
self.app.authorization = ('Basic', ('auction', ''))
response = self.app.post_json('/auctions/{}/auction'.format(auction_id),
{'data': {'bids': auction_bids_data}})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending.verification award
award = [i for i in response.json['data'] if i['status'] == 'pending.verification'][0]
award_id = award['id']
# Upload auction protocol
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format(
self.auction_id, award_id, owner_token), upload_files=[('file', 'auction_protocol.pdf', 'content')])
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, award_id, doc_id, owner_token), {"data": {
"description": "auction protocol",
"documentType": 'auctionProtocol'
}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol')
self.assertEqual(response.json["data"]["author"], 'auction_owner')
# set award as unsuccessful
response = self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token),
{"data": {"status": "unsuccessful"}})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award2 = [i for i in response.json['data'] if i['status'] == 'pending.verification'][0]
award2_id = award2['id']
self.assertNotEqual(award_id, award2_id)
# create first award complaint
# self.app.authorization = ('Basic', ('broker', ''))
# response = self.app.post_json('/auctions/{}/awards/{}/complaints?acc_token={}'.format(auction_id, award_id, bid_token),
# {'data': {'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization, 'status': 'claim'}})
# complaint_id = response.json['data']['id']
# complaint_owner_token = response.json['access']['token']
# # create first award complaint #2
# response = self.app.post_json('/auctions/{}/awards/{}/complaints?acc_token={}'.format(auction_id, award_id, bid_token),
# {'data': {'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization}})
# # answering claim
# self.app.patch_json('/auctions/{}/awards/{}/complaints/{}?acc_token={}'.format(auction_id, award_id, complaint_id, owner_token), {"data": {
# "status": "answered",
# "resolutionType": "resolved",
# "resolution": "resolution text " * 2
# }})
# # satisfying resolution
# self.app.patch_json('/auctions/{}/awards/{}/complaints/{}?acc_token={}'.format(auction_id, award_id, complaint_id, complaint_owner_token), {"data": {
# "satisfied": True,
# "status": "resolved"
# }})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award = [i for i in response.json['data'] if i['status'] == 'pending.verification'][0]
award_id = award['id']
# Upload auction protocol
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format(
self.auction_id, award_id, owner_token), upload_files=[('file', 'auction_protocol.pdf', 'content')])
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, award_id, doc_id, owner_token), {"data": {
"description": "auction protocol",
"documentType": 'auctionProtocol'
}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol')
self.assertEqual(response.json["data"]["author"], 'auction_owner')
# set award as "pending.payment
self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token), {"data": {"status": "pending.payment"}})
# set award as active
self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token), {"data": {"status": "active"}})
# get contract id
response = self.app.get('/auctions/{}'.format(auction_id))
contract_id = response.json['data']['contracts'][-1]['id']
# create auction contract document for test
response = self.app.post('/auctions/{}/contracts/{}/documents?acc_token={}'.format(auction_id, contract_id, owner_token), upload_files=[('file', 'name.doc', 'content')], status=201)
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
self.assertIn(doc_id, response.headers['Location'])
# after stand slill period
self.app.authorization = ('Basic', ('chronograph', ''))
self.set_status('complete', {'status': 'active.awarded'})
# time travel
auction = self.db.get(auction_id)
for i in auction.get('awards', []):
i['complaintPeriod']['endDate'] = i['complaintPeriod']['startDate']
self.db.save(auction)
# sign contract
self.app.authorization = ('Basic', ('broker', ''))
self.app.patch_json('/auctions/{}/contracts/{}?acc_token={}'.format(auction_id, contract_id, owner_token), {"data": {"status": "active"}})
# check status
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}'.format(auction_id))
self.assertEqual(response.json['data']['status'], 'complete')
response = self.app.post('/auctions/{}/contracts/{}/documents?acc_token={}'.format(auction_id, contract_id, owner_token), upload_files=[('file', 'name.doc', 'content')], status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'][0]["description"], "Can't add document in current (complete) auction status")
response = self.app.patch_json('/auctions/{}/contracts/{}/documents/{}?acc_token={}'.format(auction_id, contract_id, doc_id, owner_token), {"data": {"description": "document description"}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'][0]["description"], "Can't update document in current (complete) auction status")
response = self.app.put('/auctions/{}/contracts/{}/documents/{}?acc_token={}'.format(auction_id, contract_id, doc_id, owner_token), upload_files=[('file', 'name.doc', 'content3')], status=403)
self.assertEqual(response.status, '403 Forbidden')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'][0]["description"], "Can't update document in current (complete) auction status")
def test_suspended_auction(self):
self.app.authorization = ('Basic', ('broker', ''))
# empty auctions listing
response = self.app.get('/auctions')
self.assertEqual(response.json['data'], [])
# create auction
auction_data = deepcopy(self.initial_data)
auction_data['suspended'] = True
response = self.app.post_json('/auctions',
{"data": auction_data})
auction_id = self.auction_id = response.json['data']['id']
owner_token = response.json['access']['token']
self.assertNotIn('suspended', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], True)
self.assertNotIn('next_check', response.json['data'])
self.app.authorization = authorization
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}}, status=403)
self.assertEqual(response.status, '403 Forbidden')
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], False)
self.assertIn('next_check', response.json['data'])
self.app.authorization = authorization
# switch to active.tendering
self.set_status('active.tendering')
# create bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True}})
bid_id = response.json['data']['id']
bid_token = response.json['access']['token']
# create second bid
self.app.authorization = ('Basic', ('broker', ''))
if self.initial_organization == test_financial_organization:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True, 'eligible': True}})
else:
response = self.app.post_json('/auctions/{}/bids'.format(auction_id),
{'data': {'tenderers': [self.initial_organization], "value": {"amount": 450}, 'qualified': True}})
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], True)
self.assertNotIn('next_check', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], False)
self.assertIn('next_check', response.json['data'])
self.app.authorization = authorization
# switch to active.auction
self.set_status('active.auction')
# get auction info
self.app.authorization = ('Basic', ('auction', ''))
response = self.app.get('/auctions/{}/auction'.format(auction_id))
auction_bids_data = response.json['data']['bids']
# posting auction urls
response = self.app.patch_json('/auctions/{}/auction'.format(auction_id),
{
'data': {
'auctionUrl': 'https://auction.auction.url',
'bids': [
{
'id': i['id'],
'participationUrl': 'https://auction.auction.url/for_bid/{}'.format(i['id'])
}
for i in auction_bids_data
]
}
})
# view bid participationUrl
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bid_id, bid_token))
self.assertEqual(response.json['data']['participationUrl'], 'https://auction.auction.url/for_bid/{}'.format(bid_id))
# posting auction results
self.app.authorization = ('Basic', ('auction', ''))
response = self.app.post_json('/auctions/{}/auction'.format(auction_id),
{'data': {'bids': auction_bids_data}})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award_id = [i['id'] for i in response.json['data'] if i['status'] == 'pending.verification'][0]
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], True)
self.assertNotIn('next_check', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], False)
self.app.authorization = authorization
# set award as unsuccessful
response = self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token),
{"data": {"status": "unsuccessful"}})
# get awards
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award2_id = [i['id'] for i in response.json['data'] if i['status'] == 'pending.verification'][0]
self.assertNotEqual(award_id, award2_id)
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}/awards?acc_token={}'.format(auction_id, owner_token))
# get pending award
award_id = [i['id'] for i in response.json['data'] if i['status'] == 'pending.verification'][0]
response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format(
self.auction_id, award_id, owner_token), upload_files=[('file', 'auction_protocol.pdf', 'content')])
doc_id = response.json["data"]['id']
response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(auction_id, award_id, doc_id, owner_token), {"data": {"documentType": 'auctionProtocol'}})
# set award as active
self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token), {"data": {"status": "pending.payment"}})
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], True)
self.assertNotIn('next_check', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], False)
self.app.authorization = authorization
self.app.patch_json('/auctions/{}/awards/{}?acc_token={}'.format(auction_id, award_id, owner_token), {"data": {"status": "active"}})
# get contract id
response = self.app.get('/auctions/{}'.format(auction_id))
contract_id = response.json['data']['contracts'][-1]['id']
authorization = self.app.authorization
self.app.authorization = ('Basic', ('administrator', ''))
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": True}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], True)
self.assertNotIn('next_check', response.json['data'])
response = self.app.patch_json('/auctions/{}'.format(auction_id), {"data": {"suspended": False}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.json['data']['suspended'], False)
self.app.authorization = authorization
# create auction contract document for test
response = self.app.post('/auctions/{}/contracts/{}/documents?acc_token={}'.format(auction_id, contract_id, owner_token), upload_files=[('file', 'name.doc', 'content')], status=201)
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
self.assertIn(doc_id, response.headers['Location'])
# after stand slill period
self.app.authorization = ('Basic', ('chronograph', ''))
self.set_status('complete', {'status': 'active.awarded'})
# time travel
auction = self.db.get(auction_id)
for i in auction.get('awards', []):
i['complaintPeriod']['endDate'] = i['complaintPeriod']['startDate']
self.db.save(auction)
# sign contract
self.app.authorization = ('Basic', ('broker', ''))
self.app.patch_json('/auctions/{}/contracts/{}?acc_token={}'.format(auction_id, contract_id, owner_token), {"data": {"status": "active"}})
# check status
self.app.authorization = ('Basic', ('broker', ''))
response = self.app.get('/auctions/{}'.format(auction_id))
self.assertEqual(response.json['data']['status'], 'complete')
class FinancialAuctionTest(AuctionTest):
auction = DGFFinancialAssets
class FinancialAuctionResourceTest(AuctionResourceTest):
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
def test_create_auction_generated(self):
data = self.initial_data.copy()
#del data['awardPeriod']
data.update({'id': 'hash', 'doc_id': 'hash2', 'auctionID': 'hash3'})
response = self.app.post_json('/auctions', {'data': data})
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
if 'procurementMethodDetails' in auction:
auction.pop('procurementMethodDetails')
self.assertEqual(set(auction), set([
u'procurementMethodType', u'id', u'date', u'dateModified', u'auctionID', u'status', u'enquiryPeriod',
u'tenderPeriod', u'minimalStep', u'items', u'value', u'procuringEntity', u'next_check', u'dgfID',
u'procurementMethod', u'awardCriteria', u'submissionMethod', u'title', u'owner', u'auctionPeriod',
u'eligibilityCriteria', u'eligibilityCriteria_en', u'eligibilityCriteria_ru', 'documents',
u'dgfDecisionDate', u'dgfDecisionID', u'tenderAttempts',
]))
self.assertNotEqual(data['id'], auction['id'])
self.assertNotEqual(data['doc_id'], auction['id'])
self.assertNotEqual(data['auctionID'], auction['auctionID'])
self.assertEqual(auction['eligibilityCriteria'], u"До участі допускаються лише ліцензовані фінансові установи.")
self.assertEqual(auction['eligibilityCriteria_en'], u"Only licensed financial institutions are eligible to participate.")
self.assertEqual(auction['eligibilityCriteria_ru'], u"К участию допускаются только лицензированные финансовые учреждения.")
class FinancialAuctionProcessTest(AuctionProcessTest):
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
class AuctionSchemaResourceTest(AuctionResourceTest):
initial_data = test_auction_data_with_schema
def test_create_auction_with_bad_schemas_code(self):
response = self.app.get('/auctions')
self.assertEqual(response.status, '200 OK')
self.assertEqual(len(response.json['data']), 0)
bad_initial_data = deepcopy(self.initial_data)
bad_initial_data['items'][0]['classification']['id'] = "42124210-6"
response = self.app.post_json('/auctions', {"data": bad_initial_data},
status=422)
self.assertEqual(response.status, '422 Unprocessable Entity')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['errors'],
[{
"location": "body",
"name": "items",
"description": [{
"schema_properties": ["classification id mismatch with schema_properties code"]
}]
}])
class AuctionSchemaProcessTest(AuctionProcessTest):
initial_data = test_auction_data_with_schema
class FinancialAuctionSchemaResourceTest(FinancialAuctionResourceTest):
initial_data = test_financial_auction_data_with_schema
class FinancialAuctionSchemaProcessTest(FinancialAuctionProcessTest):
initial_data = test_financial_auction_data_with_schema
def suite():
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(AuctionProcessTest))
suite.addTest(unittest.makeSuite(AuctionResourceTest))
suite.addTest(unittest.makeSuite(AuctionTest))
suite.addTest(unittest.makeSuite(FinancialAuctionProcessTest))
suite.addTest(unittest.makeSuite(FinancialAuctionResourceTest))
suite.addTest(unittest.makeSuite(FinancialAuctionTest))
suite.addTest(unittest.makeSuite(AuctionSchemaResourceTest))
suite.addTest(unittest.makeSuite(AuctionSchemaProcessTest))
suite.addTest(unittest.makeSuite(FinancialAuctionSchemaResourceTest))
suite.addTest(unittest.makeSuite(FinancialAuctionSchemaProcessTest))
return suite
if __name__ == '__main__':
unittest.main(defaultTest='suite')
| 55.415094 | 209 | 0.613691 | 10,698 | 99,858 | 5.629277 | 0.04627 | 0.116071 | 0.14513 | 0.076567 | 0.866544 | 0.847813 | 0.83433 | 0.816164 | 0.797101 | 0.784381 | 0 | 0.01441 | 0.218881 | 99,858 | 1,801 | 210 | 55.445863 | 0.757657 | 0.07778 | 0 | 0.70702 | 0 | 0.000716 | 0.24052 | 0.037049 | 0 | 0 | 0 | 0 | 0.375358 | 1 | 0.022206 | false | 0 | 0.007163 | 0 | 0.046562 | 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 |
c4e10054fb2b36e390d33bb02cb4d604008384ca | 67 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.6-sum-in-deffernet-data-type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.6-sum-in-deffernet-data-type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-003/pg-3.6-sum-in-deffernet-data-type.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | a = 1
b = 2.5
c = a + b
print(c)
a = 1
b = '2'
c = a + b
print(c)
| 6.7 | 9 | 0.402985 | 19 | 67 | 1.421053 | 0.368421 | 0.222222 | 0.222222 | 0.296296 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 0.373134 | 67 | 9 | 10 | 7.444444 | 0.52381 | 0 | 0 | 0.75 | 0 | 0 | 0.014925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 |
c4f81c787d5cb44241cf1a8139ab97effc7e4578 | 8,152 | py | Python | chia_tea/cli/test_start.py | Tea-n-Tech/chia-tea | a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96 | [
"BSD-3-Clause"
] | 6 | 2021-08-05T21:31:15.000Z | 2021-11-15T20:54:25.000Z | chia_tea/cli/test_start.py | Tea-n-Tech/chia-tea | a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96 | [
"BSD-3-Clause"
] | 49 | 2021-08-05T19:33:08.000Z | 2022-03-30T19:33:38.000Z | chia_tea/cli/test_start.py | Tea-n-Tech/chia-tea | a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96 | [
"BSD-3-Clause"
] | 1 | 2022-01-09T17:08:32.000Z | 2022-01-09T17:08:32.000Z | import unittest
from unittest.mock import patch
from typer.testing import CliRunner
from ..utils.config import DEFAULT_CONFIG_FILEPATH
from .main import app
runner = CliRunner()
class TestStartCmd(unittest.TestCase):
# CONFIG
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_copy")
def test_copy_cmd_runs(self, run_copy_mock, read_config_mock):
result = runner.invoke(app, ["start", "copy"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_copy_mock.assert_called_once()
run_copy_mock.reset_mock()
read_config_mock.reset_mock()
config_filepath = "some/path/to/config.yml"
result = runner.invoke(app, ["start", "copy", "--config", config_filepath])
self.assertEqual(result.exit_code, 0)
read_config_mock.assert_called_once_with(filepath=config_filepath)
run_copy_mock.assert_called_once()
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_copy")
def test_copy_cmd_interrupted_by_keyboard(self, run_copy_mock, read_config_mock):
run_copy_mock.side_effect = KeyboardInterrupt()
result = runner.invoke(app, ["start", "copy"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_copy_mock.assert_called_once()
self.assertEqual(result.exit_code, 0)
self.assertIn("Stopping copy", result.output)
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_copy")
def test_copy_cmd_some_other_error(self, run_copy_mock, read_config_mock):
err_msg = "Blablabla"
run_copy_mock.side_effect = Exception(err_msg)
result = runner.invoke(app, ["start", "copy"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_copy_mock.assert_called_once()
self.assertEqual(result.exit_code, 1)
self.assertIn("Error", result.output)
self.assertIn(err_msg, result.output)
# MONITORING CLIENT
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_client")
def test_monitoring_client_cmd_runs(self, run_monitoring_client_mock, read_config_mock):
result = runner.invoke(app, ["start", "monitoring-client"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_client_mock.assert_called_once()
run_monitoring_client_mock.reset_mock()
read_config_mock.reset_mock()
config_filepath = "some/path/to/config.yml"
result = runner.invoke(app, ["start", "monitoring-client", "--config", config_filepath])
self.assertEqual(result.exit_code, 0)
read_config_mock.assert_called_once_with(filepath=config_filepath)
run_monitoring_client_mock.assert_called_once()
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_client")
def test_monitoring_client_cmd_interrupted_by_keyboard(
self, run_monitoring_client_mock, read_config_mock
):
run_monitoring_client_mock.side_effect = KeyboardInterrupt()
result = runner.invoke(app, ["start", "monitoring-client"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_client_mock.assert_called_once()
self.assertEqual(result.exit_code, 0)
self.assertIn("Shutting down", result.output)
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_client")
def test_monitoring_client_cmd_some_other_error(
self, run_monitoring_client_mock, read_config_mock
):
err_msg = "Blablabla"
run_monitoring_client_mock.side_effect = Exception(err_msg)
result = runner.invoke(app, ["start", "monitoring-client"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_client_mock.assert_called_once()
self.assertEqual(result.exit_code, 1)
self.assertIn("Error", result.output)
self.assertIn(err_msg, result.output)
# MONITORING SERVER
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_server")
def test_monitoring_server_cmd_runs(self, run_monitoring_server_mock, read_config_mock):
result = runner.invoke(app, ["start", "monitoring-server"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_server_mock.assert_called_once()
run_monitoring_server_mock.reset_mock()
read_config_mock.reset_mock()
config_filepath = "some/path/to/config.yml"
result = runner.invoke(app, ["start", "monitoring-server", "--config", config_filepath])
self.assertEqual(result.exit_code, 0)
read_config_mock.assert_called_once_with(filepath=config_filepath)
run_monitoring_server_mock.assert_called_once()
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_server")
def test_monitoring_server_cmd_interrupted_by_keyboard(
self, run_monitoring_server_mock, read_config_mock
):
run_monitoring_server_mock.side_effect = KeyboardInterrupt()
result = runner.invoke(app, ["start", "monitoring-server"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_server_mock.assert_called_once()
self.assertEqual(result.exit_code, 0)
self.assertIn("Shutting down", result.output)
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_monitoring_server")
def test_monitoring_server_cmd_some_other_error(
self, run_monitoring_server_mock, read_config_mock
):
err_msg = "Blablabla"
run_monitoring_server_mock.side_effect = Exception(err_msg)
result = runner.invoke(app, ["start", "monitoring-server"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
run_monitoring_server_mock.assert_called_once()
self.assertEqual(result.exit_code, 1)
self.assertIn("Error", result.output)
self.assertIn(err_msg, result.output)
# DISCORD BOT
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_discord_bot")
def test_discord_bot_cmd_runs(self, discord_bot_mock, read_config_mock):
result = runner.invoke(app, ["start", "discord-bot"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
discord_bot_mock.assert_called_once()
discord_bot_mock.reset_mock()
read_config_mock.reset_mock()
config_filepath = "some/path/to/config.yml"
result = runner.invoke(app, ["start", "discord-bot", "--config", config_filepath])
self.assertEqual(result.exit_code, 0)
read_config_mock.assert_called_once_with(filepath=config_filepath)
discord_bot_mock.assert_called_once()
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_discord_bot")
def test_discord_bot_cmd_interrupted_by_keyboard(self, discord_bot_mock, read_config_mock):
discord_bot_mock.side_effect = KeyboardInterrupt()
result = runner.invoke(app, ["start", "discord-bot"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
discord_bot_mock.assert_called_once()
self.assertEqual(result.exit_code, 0)
self.assertIn("Shutting down", result.output)
@patch("chia_tea.cli.start.read_config")
@patch("chia_tea.cli.start.run_discord_bot")
def test_discord_bot_cmd_some_other_error(self, discord_bot_mock, read_config_mock):
err_msg = "Blablabla"
discord_bot_mock.side_effect = Exception(err_msg)
result = runner.invoke(app, ["start", "discord-bot"])
read_config_mock.assert_called_once_with(filepath=DEFAULT_CONFIG_FILEPATH)
discord_bot_mock.assert_called_once()
self.assertEqual(result.exit_code, 1)
self.assertIn("Error", result.output)
self.assertIn(err_msg, result.output)
| 45.288889 | 96 | 0.731722 | 1,066 | 8,152 | 5.182927 | 0.06379 | 0.079638 | 0.081086 | 0.115837 | 0.955294 | 0.941357 | 0.919457 | 0.876742 | 0.836199 | 0.799638 | 0 | 0.001763 | 0.165113 | 8,152 | 179 | 97 | 45.541899 | 0.810021 | 0.006624 | 0 | 0.755102 | 0 | 0 | 0.159521 | 0.108118 | 0 | 0 | 0 | 0 | 0.380952 | 1 | 0.081633 | false | 0 | 0.034014 | 0 | 0.122449 | 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 |
1ee9fa01a361201b8f0d6f5a691ae92b14caa94a | 23,942 | py | Python | seglearn/tests/test_transform.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | seglearn/tests/test_transform.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | seglearn/tests/test_transform.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | # Author: David Burns
# License: BSD
import pytest
import numpy as np
import seglearn.transform as transform
from seglearn.base import TS_Data
from seglearn.feature_functions import all_features, mean
from seglearn.util import get_ts_data_parts
def test_sliding_window():
N = 1000
width = 10
ts = np.random.rand(N)
for step in 1 + np.arange(width):
sts = transform.sliding_window(ts, width, step)
sts_c = transform.sliding_window(ts, width, step, 'C')
assert sts.flags.f_contiguous and sts_c.flags.c_contiguous
assert sts.shape[1] == width and sts_c.shape[1] == width
Nsts = 1 + (N - width) // step
assert Nsts == sts.shape[0] and Nsts == sts_c.shape[0]
assert np.all(np.isin(sts, ts)) and np.all(np.isin(sts_c, ts))
# reconstruct the ts
if step == 1:
assert np.array_equal(np.concatenate((sts[:, 0], sts[-1, 1:width])), ts)
assert np.array_equal(np.concatenate((sts_c[:, 0], sts_c[-1, 1:width])), ts)
if step == width:
assert np.array_equal(sts.ravel(), ts)
assert np.array_equal(sts_c.ravel(), ts)
def test_sliding_tensor():
N = 1000
V = 5
width = 10
ts = np.random.rand(N, V)
for step in 1 + np.arange(width):
sts = transform.sliding_tensor(ts, width, step)
assert sts.shape[1] == width
assert sts.shape[2] == V
Nsts = 1 + (N - width) // step
assert Nsts == sts.shape[0]
for j in range(V):
assert np.all(np.isin(sts[:, :, j], ts[:, j]))
# todo: reconstruct tensor ts
final_tensor = []
for step in 1 + np.arange(width):
sts = transform.sliding_tensor(ts, width, step, 'C')
final_tensor.append(sts)
assert sts.flags.c_contiguous
assert sts.shape[1] == width
assert sts.shape[2] == V
Nsts = 1 + (N - width) // step
assert Nsts == sts.shape[0]
for j in range(V):
assert np.all(np.isin(sts[:, :, j], ts[:, j]))
assert np.concatenate(final_tensor).flags.c_contiguous
def test_feature_rep():
# multivariate ts
frep = transform.FeatureRep(features=all_features())
X = np.random.rand(100, 10, 5)
y = np.ones(100)
frep.fit(X, y)
Xt = frep.transform(X)
assert Xt.shape[0] == len(X)
assert len(frep.f_labels) == Xt.shape[1]
# univariate ts
X = np.random.rand(100, 10)
y = np.ones(100)
frep.fit(X, y)
Xt = frep.transform(X)
assert Xt.shape[0] == len(X)
assert len(frep.f_labels) == Xt.shape[1]
# single feature
frep = transform.FeatureRep(features={'mean': mean})
frep.fit(X, y)
Xt = frep.transform(X)
assert Xt.shape[0] == len(X)
assert len(frep.f_labels) == Xt.shape[1]
assert Xt.shape[1] == 1
# ts with multivariate contextual data
frep = transform.FeatureRep(features=all_features())
X = TS_Data(np.random.rand(100, 10, 5), np.random.rand(100, 3))
y = np.ones(100)
frep.fit(X, y)
Xt = frep.transform(X)
assert Xt.shape[0] == len(X)
assert len(frep.f_labels) == Xt.shape[1]
# ts with univariate contextual data
X = TS_Data(np.random.rand(100, 10, 5), np.random.rand(100))
y = np.ones(100)
frep.fit(X, y)
Xt = frep.transform(X)
assert Xt.shape[0] == len(X)
assert len(frep.f_labels) == Xt.shape[1]
def test_segmentx():
# test illegal parameter settings
with pytest.raises(ValueError):
transform.SegmentX(width=0) # illegal width value
with pytest.raises(ValueError):
transform.SegmentX(overlap=None, step=None) # either overlap or step must be defined
with pytest.raises(ValueError):
transform.SegmentX(overlap=-1, step=None) # illegal overlap value
with pytest.raises(ValueError):
transform.SegmentX(step=0) # illegal step value
with pytest.raises(ValueError):
transform.SegmentX(order=None) # illegal order
# test _step property working as expected
seg = transform.SegmentX(width=10, overlap=0.5)
assert seg._step == 5
# test precedence of step over overlap
seg = transform.SegmentX(width=10, overlap=1, step=1)
assert seg._step == 1
# illegal overlap value, but valid step value
seg = transform.SegmentX(overlap=-1, step=1)
assert seg._step == 1
# test shape of segmented data
width = 5
nvars = 5
seg = transform.SegmentX(width=width)
# multivariate ts data without context data
X = [np.random.rand(100, nvars), np.random.rand(100, nvars), np.random.rand(100, nvars)]
y = np.random.rand(3)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width, nvars)
# univariate ts data without context
X = [np.random.rand(100), np.random.rand(100), np.random.rand(100)]
y = np.random.rand(3)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width)
# multivariate ts data with context data
Xt = [np.random.rand(100, nvars), np.random.rand(200, nvars), np.random.rand(50, nvars)]
Xc = np.random.rand(3, 4)
y = np.random.rand(3)
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 4)
# ts data with univariate context data
Xt = [np.random.rand(100), np.random.rand(200), np.random.rand(50)]
Xc = np.random.rand(3)
y = np.random.rand(3)
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width)
assert Xsc.shape == (N, 1)
# same number as context vars and time vars
# this would cause broadcasting failure before implementation of TS_Data class
Xt = [np.random.rand(100, nvars), np.random.rand(200, nvars), np.random.rand(50, nvars)]
Xc = np.random.rand(3, nvars)
y = np.random.rand(3)
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 5)
def test_segmentxy():
# test illegal parameter settings
with pytest.raises(ValueError):
transform.SegmentXY(width=0) # illegal width value
with pytest.raises(ValueError):
transform.SegmentXY(overlap=None, step=None) # either overlap or step must be defined
with pytest.raises(ValueError):
transform.SegmentXY(overlap=-1, step=None) # illegal overlap value
with pytest.raises(ValueError):
transform.SegmentXY(step=0) # illegal step value
with pytest.raises(ValueError):
transform.SegmentXY(order=None) # illegal order
# test _step property working as expected
seg = transform.SegmentXY(width=10, overlap=0.5)
assert seg._step == 5
# test precedence of step over overlap
seg = transform.SegmentXY(width=10, overlap=1, step=1)
assert seg._step == 1
# illegal overlap value, but valid step value
seg = transform.SegmentXY(overlap=-1, step=1)
assert seg._step == 1
# test shape of segmented data
Nt = 100
width = 5
nvars = 5
seg = transform.SegmentXY(width=width)
# multivariate ts data without context data
X = [np.random.rand(Nt, nvars), np.random.rand(Nt, nvars), np.random.rand(Nt, nvars)]
y = [np.random.rand(Nt), np.random.rand(Nt), np.random.rand(Nt)]
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width, nvars)
# univariate ts data without context data
X = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(3 * Nt)]
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(3 * Nt)]
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width)
# multivariate ts data with context data
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3, 4)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 4)
# ts data with univariate context data
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 1)
# same number as context vars and time vars
# this would cause broadcasting failure before implementation of TS_Data class
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3, nvars)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 5)
def test_segmentxyforecast():
# test illegal parameter settings
with pytest.raises(ValueError):
transform.SegmentXYForecast(width=0) # illegal width value
with pytest.raises(ValueError):
transform.SegmentXYForecast(overlap=None, step=None) # either overlap or step must be defined
with pytest.raises(ValueError):
transform.SegmentXYForecast(overlap=-1, step=None) # illegal overlap value
with pytest.raises(ValueError):
transform.SegmentXYForecast(step=0) # illegal step value
with pytest.raises(ValueError):
transform.SegmentXYForecast(order=None) # illegal order
with pytest.raises(ValueError):
transform.SegmentXYForecast(forecast=0) # illegal forecast value
# test _step property working as expected
seg = transform.SegmentXYForecast(width=10, overlap=0.5)
assert seg._step == 5
# test precedence of step over overlap
seg = transform.SegmentXYForecast(width=10, overlap=1, step=1)
assert seg._step == 1
# illegal overlap value, but valid step value
seg = transform.SegmentXYForecast(overlap=-1, step=1)
assert seg._step == 1
# test shape of segmented data
Nt = 100
width = 5
nvars = 5
# lets do a forecast test
seg = transform.SegmentXYForecast(width=width, forecast=5)
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3, 4)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 4)
# univariate X
nvars = 1
seg = transform.SegmentXYForecast(width=width, forecast=5)
X = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width)
def test_pad_trunc():
Nt = 100
width = 5
nvars = 5
seg = transform.PadTrunc(width=width)
# multivariate ts data without context data
X = [np.random.rand(Nt, nvars), np.random.rand(Nt, nvars), np.random.rand(Nt, nvars)]
y = [np.random.rand(Nt), np.random.rand(Nt), np.random.rand(Nt)]
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width, nvars)
assert np.all([np.equal(X[i][0:width], Xs[i]) for i in range(len(X))])
assert np.all([np.equal(y[i][0:width], ys[i]) for i in range(len(y))])
# univariate ts data without context data
X = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(3 * Nt)]
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(3 * Nt)]
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width)
assert np.all([np.equal(X[i][0:width], Xs[i]) for i in range(len(X))])
assert np.all([np.equal(y[i][0:width], ys[i]) for i in range(len(y))])
# multivariate ts data with context data
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3, 4)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 4)
assert np.all([np.equal(Xt[i][0:width], Xst[i]) for i in range(len(Xt))])
assert np.all([np.equal(Xc[i], Xsc[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i][0:width], ys[i]) for i in range(len(y))])
# ts data with univariate context data
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N,)
assert np.all([np.equal(Xt[i][0:width], Xst[i]) for i in range(len(Xt))])
assert np.all([np.equal(Xc[i], Xsc[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i][0:width], ys[i]) for i in range(len(y))])
# same number as context vars and time vars
# this would cause broadcasting failure before implementation of TS_Data class
Xt = [np.random.rand(Nt, nvars), np.random.rand(2 * Nt, nvars), np.random.rand(Nt, nvars)]
Xc = np.random.rand(3, nvars)
y = [np.random.rand(Nt), np.random.rand(2 * Nt), np.random.rand(Nt)]
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 5)
assert np.all([np.equal(Xt[i][0:width], Xst[i]) for i in range(len(Xt))])
assert np.all([np.equal(Xc[i], Xsc[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i][0:width], ys[i]) for i in range(len(y))])
width = 5
nvars = 5
seg = transform.PadTrunc(width=width)
# multivariate ts data without context data
X = [np.random.rand(100, nvars), np.random.rand(100, nvars), np.random.rand(100, nvars)]
y = np.random.rand(3)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width, nvars)
assert np.all([np.equal(X[i][0:width], Xs[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i], ys[i]) for i in range(len(y))])
# univariate ts data without context
X = [np.random.rand(100), np.random.rand(100), np.random.rand(100)]
y = np.random.rand(3)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
N = len(ys)
assert Xs.shape == (N, width)
assert np.all([np.equal(X[i][0:width], Xs[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i], ys[i]) for i in range(len(y))])
# multivariate ts data with context data
Xt = [np.random.rand(100, nvars), np.random.rand(200, nvars), np.random.rand(50, nvars)]
Xc = np.random.rand(3, 4)
y = np.random.rand(3)
X = TS_Data(Xt, Xc)
seg.fit(X, y)
Xs, ys, _ = seg.transform(X, y)
Xst, Xsc = get_ts_data_parts(Xs)
N = len(ys)
assert Xst.shape == (N, width, nvars)
assert Xsc.shape == (N, 4)
assert np.all([np.equal(Xt[i][0:width], Xst[i]) for i in range(len(Xt))])
assert np.all([np.equal(Xc[i], Xsc[i]) for i in range(len(Xt))])
assert np.all([np.equal(y[i], ys[i]) for i in range(len(y))])
def test_interp():
# univariate time series
N = 100
t = np.arange(N) + np.random.rand(N)
X = [np.column_stack([t, np.random.rand(N)])]
y = [np.random.rand(N)]
interp = transform.Interp(2)
interp.fit(X)
Xc, yc, swt = interp.transform(X, y)
assert len(Xc[0]) == N / 2
assert len(yc[0]) == N / 2
assert np.ndim(Xc[0]) == 1
y = [np.random.randint(0, 5, N)]
interp = transform.Interp(5, kind='cubic', categorical_target=True)
interp.fit(X, y)
Xc, yc, swt = interp.transform(X, y)
assert len(Xc[0]) == N / 5
assert len(yc[0]) == N / 5
assert np.ndim(Xc[0]) == 1
assert np.all(np.isin(yc, np.arange(6)))
# multivariate time series
N = 100
D = 5
t = np.arange(N) + np.random.rand(N)
X = [np.column_stack([t, np.random.rand(N,D)])]
y = [np.random.rand(N)]
interp = transform.Interp(2)
interp.fit(X)
Xc, yc, swt = interp.transform(X, y)
assert len(Xc[0]) == N / 2
assert len(yc[0]) == N / 2
assert Xc[0].shape[1] == D
y = [np.random.randint(0, 5, N)]
interp = transform.Interp(5, kind='cubic', categorical_target=True)
interp.fit(X, y)
Xc, yc, swt = interp.transform(X, y)
assert len(Xc[0]) == N / 5
assert len(yc[0]) == N / 5
assert Xc[0].shape[1] == D
assert np.all(np.isin(yc, np.arange(6)))
# sorthing case
N = 100
t = np.arange(N)
t[0:3] = 0
X = [np.column_stack([t, np.random.rand(N)])]
y = [np.random.rand(N)]
interp = transform.Interp(sample_period=2, assume_sorted=False)
interp.fit(X)
Xc, yc, swt = interp.transform(X, y)
assert len(Xc[0]) == N / 2
assert len(yc[0]) == N / 2
assert np.ndim(Xc[0]) == 1
assert np.count_nonzero(np.isnan(Xc)) == 0
def test_interp_long_to_wide():
# Test 1
t = np.array([1.1, 1.2, 2.1, 3.3, 3.4, 3.5]).astype(float)
s = np.array([0, 1, 0, 0, 1, 1]).astype(float)
v1 = np.array([3, 4, 5, 7, 15, 25]).astype(float)
v2 = np.array([5, 7, 6, 9, 22, 35]).astype(float)
y = np.array([1, 2, 2, 2, 3, 3]).astype(float)
df = np.column_stack([t, s, v1, v2])
X = [df, df]
y = [y, y]
stacked_interp = transform.InterpLongToWide(0.5)
stacked_interp.fit(X, y)
Xc, yc, swt = stacked_interp.transform(X, y)
# --Checks--
# linearly sampled time within bounds = 1.2, 1.7, 2.2, 2.7, 3.2 --> len(Xc[0]) = 5
assert len(Xc[0]) == 5
# Xc shape[1] = unique(s) * no. dimensions of values (V1) = 2 * 2 = 4
assert Xc[0].shape[1] == 4
assert swt is None
# Test 2
y = [1, 2]
stacked_interp.fit(X, y)
Xc, yc, swt = stacked_interp.transform(X, y)
assert np.array_equal(yc, y)
# Test 3
N = 100
sample_period = 0.5
t = np.arange(N) + np.random.rand(N)
s = np.array([1, 2] * int(N/2))
np.random.shuffle(s)
v1 = np.arange(N) + np.random.rand(N)
v2 = np.arange(N) + np.random.rand(N)
v3 = np.arange(N) + np.random.rand(N)
df = np.column_stack([t, s, v1, v2, v3])
X = [df, df, df]
dm = np.arange(N) + np.random.rand(N)
y = [dm, dm, dm]
stacked_interp = transform.InterpLongToWide(sample_period)
stacked_interp.fit(X, y)
Xc, yc, swt = stacked_interp.transform(X, y)
# --Checks--
assert Xc[0].shape[1] == len(np.unique(s)) * (X[0].shape[1]-2)
assert len(Xc[0]) <= N/sample_period
# Test 3 - duplicate entries for t
t = np.array([1.1, 1.1, 1.2, 2.1, 3.3, 3.4, 3.5]).astype(float)
s = np.array([0, 0, 1, 0, 0, 1, 1]).astype(float)
v1 = np.array([3, 3, 4, 5, 7, 15, 25]).astype(float)
v2 = np.array([5, 5, 7, 6, 9, 22, 35]).astype(float)
y = np.array([1, 1, 2, 2, 2, 3, 3]).astype(float)
df = np.column_stack([t, s, v1, v2])
X = [df, df]
y = [y, y]
stacked_interp = transform.InterpLongToWide(0.5)
stacked_interp.fit(X, y)
Xc, yc, swt = stacked_interp.transform(X, y)
# --Checks--
assert len(Xc[0]) == 5
assert Xc[0].shape[1] == 4
assert swt is None
assert np.count_nonzero(np.isnan(Xc)) == 0
def test_feature_rep_mix():
union = transform.FeatureRepMix([
('a', transform.FeatureRep(features={'mean': mean}), 0),
('b', transform.FeatureRep(features={'mean': mean}), 1),
('c', transform.FeatureRep(features={'mean': mean}), [2,3]),
('d', transform.FeatureRep(features={'mean': mean}), slice(0,2)),
('e', transform.FeatureRep(features={'mean': mean}), [False, False, True, True]),
])
# multivariate ts
X = np.random.rand(100, 10, 4)
y = np.ones(100)
union.fit(X, y)
Xt = union.transform(X)
assert Xt.shape[0] == len(X)
assert len(union.f_labels) == Xt.shape[1]
# ts with multivariate contextual data
X = TS_Data(np.random.rand(100, 10, 4), np.random.rand(100, 3))
y = np.ones(100)
union.fit(X, y)
Xt = union.transform(X)
assert Xt.shape[0] == len(X)
assert len(union.f_labels) == Xt.shape[1]
# ts with univariate contextual data
X = TS_Data(np.random.rand(100, 10, 4), np.random.rand(100))
y = np.ones(100)
union.fit(X, y)
Xt = union.transform(X)
assert Xt.shape[0] == len(X)
assert len(union.f_labels) == Xt.shape[1]
# univariate ts
uni_union = transform.FeatureRepMix([
('a', transform.FeatureRep(features={'mean': mean}), 0),
('b', transform.FeatureRep(features={'mean': mean}), [0]),
('c', transform.FeatureRep(features={'mean': mean}), slice(0,1)),
('d', transform.FeatureRep(features={'mean': mean}), [True]),
])
X = np.random.rand(100, 10)
y = np.ones(100)
uni_union.fit(X, y)
Xt = uni_union.transform(X)
assert Xt.shape[0] == len(X)
assert len(uni_union.f_labels) == Xt.shape[1]
def test_function_transform():
constant = 10
identity = transform.FunctionTransformer()
def replace(Xt, value):
return np.ones(Xt.shape) * value
custom = transform.FunctionTransformer(replace, func_kwargs={"value": constant})
# univariate ts
X = np.random.rand(100, 10)
y = np.ones(100)
identity.fit(X, y)
Xtrans = identity.transform(X)
assert Xtrans is X
custom.fit(X, y)
Xtrans = custom.transform(X)
assert np.array_equal(Xtrans, np.ones(X.shape) * constant)
# multivariate ts
X = np.random.rand(100, 10, 4)
y = np.ones(100)
identity.fit(X, y)
Xtrans = identity.transform(X)
assert Xtrans is X
custom.fit(X, y)
Xtrans = custom.transform(X)
assert np.array_equal(Xtrans, np.ones(X.shape) * constant)
# ts with univariate contextual data
Xt = np.random.rand(100, 10, 4)
Xc = np.random.rand(100)
X = TS_Data(Xt, Xc)
y = np.ones(100)
identity.fit(X, y)
Xtrans = identity.transform(X)
assert Xtrans is X
custom.fit(X, y)
Xtrans = custom.transform(X)
Xtt, Xtc = get_ts_data_parts(Xtrans)
assert np.array_equal(Xtt, np.ones(Xt.shape) * constant)
assert Xtc is Xc
# ts with multivariate contextual data
Xt = np.random.rand(100, 10, 4)
Xc = np.random.rand(100, 3)
X = TS_Data(Xt, Xc)
y = np.ones(100)
identity.fit(X, y)
Xtrans = identity.transform(X)
assert Xtrans is X
custom.fit(X, y)
Xtrans = custom.transform(X)
Xtt, Xtc = get_ts_data_parts(Xtrans)
assert np.array_equal(Xtt, np.ones(Xt.shape) * constant)
assert Xtc is Xc
# test resampling
def resample(Xt):
return Xt.reshape(1, -1)
illegal_resampler = transform.FunctionTransformer(resample)
X = np.random.rand(100, 10)
y = np.ones(100)
illegal_resampler.fit(X, y)
with pytest.raises(ValueError):
Xtrans = illegal_resampler.transform(X)
| 33.673699 | 102 | 0.603709 | 3,873 | 23,942 | 3.6819 | 0.057836 | 0.085273 | 0.125386 | 0.047125 | 0.890673 | 0.87209 | 0.840603 | 0.79467 | 0.784502 | 0.764376 | 0 | 0.033879 | 0.2344 | 23,942 | 710 | 103 | 33.721127 | 0.744081 | 0.108763 | 0 | 0.756554 | 0 | 0 | 0.003105 | 0 | 0 | 0 | 0 | 0.001408 | 0.252809 | 1 | 0.024345 | false | 0 | 0.011236 | 0.003745 | 0.039326 | 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 |
481874097ba905a931d12af24fe9c1766ffbbd4f | 24,671 | py | Python | python/tests/test_qualify_service.py | Asher-Wang/ambassador | 393a52832d081e0d8d0e0ecd5a14cfe18c62b837 | [
"Apache-2.0"
] | 1 | 2021-01-05T18:27:18.000Z | 2021-01-05T18:27:18.000Z | python/tests/test_qualify_service.py | Asher-Wang/ambassador | 393a52832d081e0d8d0e0ecd5a14cfe18c62b837 | [
"Apache-2.0"
] | 190 | 2021-04-22T11:35:09.000Z | 2022-03-30T22:12:03.000Z | python/tests/test_qualify_service.py | Asher-Wang/ambassador | 393a52832d081e0d8d0e0ecd5a14cfe18c62b837 | [
"Apache-2.0"
] | 2 | 2020-10-01T18:59:27.000Z | 2021-02-04T06:23:18.000Z | from typing import Optional
import logging
import sys
import pytest
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s test %(levelname)s: %(message)s",
datefmt='%Y-%m-%d %H:%M:%S'
)
logger = logging.getLogger("ambassador")
from ambassador import Config, IR
from ambassador.fetch import ResourceFetcher
from ambassador.utils import NullSecretHandler
from ambassador.ir import IRResource
from ambassador.ir.irbasemapping import normalize_service_name
yaml = '''
---
apiVersion: getambassador.io/v1
kind: Module
name: ambassador
config: {}
'''
def qualify_service_name(ir: 'IR', service: str, namespace: Optional[str], rkey: Optional[str]=None) -> str:
return normalize_service_name(ir, service, namespace, 'KubernetesTestResolver', rkey=rkey)
def test_qualify_service():
aconf = Config()
fetcher = ResourceFetcher(logger, aconf)
fetcher.parse_yaml(yaml)
aconf.load_all(fetcher.sorted())
secret_handler = NullSecretHandler(logger, None, None, "0")
ir = IR(aconf, file_checker=lambda path: True, secret_handler=secret_handler)
assert ir, "could not create an IR"
assert qualify_service_name(ir, "backoffice", None) == "backoffice"
assert qualify_service_name(ir, "backoffice", "default") == "backoffice"
assert qualify_service_name(ir, "backoffice", "otherns") == "backoffice.otherns"
assert qualify_service_name(ir, "backoffice.otherns", None) == "backoffice.otherns"
assert qualify_service_name(ir, "backoffice.otherns", "default") == "backoffice.otherns"
assert qualify_service_name(ir, "backoffice.otherns", "otherns") == "backoffice.otherns"
assert normalize_service_name(ir, "backoffice", None, 'ConsulResolver') == "backoffice"
assert normalize_service_name(ir, "backoffice", "default", 'ConsulResolver') == "backoffice"
assert normalize_service_name(ir, "backoffice", "otherns", 'ConsulResolver') == "backoffice"
assert normalize_service_name(ir, "backoffice.otherns", None, 'ConsulResolver') == "backoffice.otherns"
assert normalize_service_name(ir, "backoffice.otherns", "default", 'ConsulResolver') == "backoffice.otherns"
assert normalize_service_name(ir, "backoffice.otherns", "otherns", 'ConsulResolver') == "backoffice.otherns"
assert qualify_service_name(ir, "backoffice:80", None) == "backoffice:80"
assert qualify_service_name(ir, "backoffice:80", "default") == "backoffice:80"
assert qualify_service_name(ir, "backoffice:80", "otherns") == "backoffice.otherns:80"
assert qualify_service_name(ir, "backoffice.otherns:80", None) == "backoffice.otherns:80"
assert qualify_service_name(ir, "backoffice.otherns:80", "default") == "backoffice.otherns:80"
assert qualify_service_name(ir, "backoffice.otherns:80", "otherns") == "backoffice.otherns:80"
assert normalize_service_name(ir, "backoffice:80", None, 'ConsulResolver') == "backoffice:80"
assert normalize_service_name(ir, "backoffice:80", "default", 'ConsulResolver') == "backoffice:80"
assert normalize_service_name(ir, "backoffice:80", "otherns", 'ConsulResolver') == "backoffice:80"
assert normalize_service_name(ir, "backoffice.otherns:80", None, 'ConsulResolver') == "backoffice.otherns:80"
assert normalize_service_name(ir, "backoffice.otherns:80", "default", 'ConsulResolver') == "backoffice.otherns:80"
assert normalize_service_name(ir, "backoffice.otherns:80", "otherns", 'ConsulResolver') == "backoffice.otherns:80"
assert qualify_service_name(ir, "http://backoffice", None) == "http://backoffice"
assert qualify_service_name(ir, "http://backoffice", "default") == "http://backoffice"
assert qualify_service_name(ir, "http://backoffice", "otherns") == "http://backoffice.otherns"
assert qualify_service_name(ir, "http://backoffice.otherns", None) == "http://backoffice.otherns"
assert qualify_service_name(ir, "http://backoffice.otherns", "default") == "http://backoffice.otherns"
assert qualify_service_name(ir, "http://backoffice.otherns", "otherns") == "http://backoffice.otherns"
assert normalize_service_name(ir, "http://backoffice", None, 'ConsulResolver') == "http://backoffice"
assert normalize_service_name(ir, "http://backoffice", "default", 'ConsulResolver') == "http://backoffice"
assert normalize_service_name(ir, "http://backoffice", "otherns", 'ConsulResolver') == "http://backoffice"
assert normalize_service_name(ir, "http://backoffice.otherns", None, 'ConsulResolver') == "http://backoffice.otherns"
assert normalize_service_name(ir, "http://backoffice.otherns", "default", 'ConsulResolver') == "http://backoffice.otherns"
assert normalize_service_name(ir, "http://backoffice.otherns", "otherns", 'ConsulResolver') == "http://backoffice.otherns"
assert qualify_service_name(ir, "http://backoffice:80", None) == "http://backoffice:80"
assert qualify_service_name(ir, "http://backoffice:80", "default") == "http://backoffice:80"
assert qualify_service_name(ir, "http://backoffice:80", "otherns") == "http://backoffice.otherns:80"
assert qualify_service_name(ir, "http://backoffice.otherns:80", None) == "http://backoffice.otherns:80"
assert qualify_service_name(ir, "http://backoffice.otherns:80", "default") == "http://backoffice.otherns:80"
assert qualify_service_name(ir, "http://backoffice.otherns:80", "otherns") == "http://backoffice.otherns:80"
assert normalize_service_name(ir, "http://backoffice:80", None, 'ConsulResolver') == "http://backoffice:80"
assert normalize_service_name(ir, "http://backoffice:80", "default", 'ConsulResolver') == "http://backoffice:80"
assert normalize_service_name(ir, "http://backoffice:80", "otherns", 'ConsulResolver') == "http://backoffice:80"
assert normalize_service_name(ir, "http://backoffice.otherns:80", None, 'ConsulResolver') == "http://backoffice.otherns:80"
assert normalize_service_name(ir, "http://backoffice.otherns:80", "default", 'ConsulResolver') == "http://backoffice.otherns:80"
assert normalize_service_name(ir, "http://backoffice.otherns:80", "otherns", 'ConsulResolver') == "http://backoffice.otherns:80"
assert qualify_service_name(ir, "https://backoffice", None) == "https://backoffice"
assert qualify_service_name(ir, "https://backoffice", "default") == "https://backoffice"
assert qualify_service_name(ir, "https://backoffice", "otherns") == "https://backoffice.otherns"
assert qualify_service_name(ir, "https://backoffice.otherns", None) == "https://backoffice.otherns"
assert qualify_service_name(ir, "https://backoffice.otherns", "default") == "https://backoffice.otherns"
assert qualify_service_name(ir, "https://backoffice.otherns", "otherns") == "https://backoffice.otherns"
assert normalize_service_name(ir, "https://backoffice", None, 'ConsulResolver') == "https://backoffice"
assert normalize_service_name(ir, "https://backoffice", "default", 'ConsulResolver') == "https://backoffice"
assert normalize_service_name(ir, "https://backoffice", "otherns", 'ConsulResolver') == "https://backoffice"
assert normalize_service_name(ir, "https://backoffice.otherns", None, 'ConsulResolver') == "https://backoffice.otherns"
assert normalize_service_name(ir, "https://backoffice.otherns", "default", 'ConsulResolver') == "https://backoffice.otherns"
assert normalize_service_name(ir, "https://backoffice.otherns", "otherns", 'ConsulResolver') == "https://backoffice.otherns"
assert qualify_service_name(ir, "https://backoffice:443", None) == "https://backoffice:443"
assert qualify_service_name(ir, "https://backoffice:443", "default") == "https://backoffice:443"
assert qualify_service_name(ir, "https://backoffice:443", "otherns") == "https://backoffice.otherns:443"
assert qualify_service_name(ir, "https://backoffice.otherns:443", None) == "https://backoffice.otherns:443"
assert qualify_service_name(ir, "https://backoffice.otherns:443", "default") == "https://backoffice.otherns:443"
assert qualify_service_name(ir, "https://backoffice.otherns:443", "otherns") == "https://backoffice.otherns:443"
assert normalize_service_name(ir, "https://backoffice:443", None, 'ConsulResolver') == "https://backoffice:443"
assert normalize_service_name(ir, "https://backoffice:443", "default", 'ConsulResolver') == "https://backoffice:443"
assert normalize_service_name(ir, "https://backoffice:443", "otherns", 'ConsulResolver') == "https://backoffice:443"
assert normalize_service_name(ir, "https://backoffice.otherns:443", None, 'ConsulResolver') == "https://backoffice.otherns:443"
assert normalize_service_name(ir, "https://backoffice.otherns:443", "default", 'ConsulResolver') == "https://backoffice.otherns:443"
assert normalize_service_name(ir, "https://backoffice.otherns:443", "otherns", 'ConsulResolver') == "https://backoffice.otherns:443"
assert qualify_service_name(ir, "localhost", None) == "localhost"
assert qualify_service_name(ir, "localhost", "default") == "localhost"
assert qualify_service_name(ir, "localhost", "otherns") == "localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "localhost.otherns", None) == "localhost.otherns"
assert qualify_service_name(ir, "localhost.otherns", "default") == "localhost.otherns"
assert qualify_service_name(ir, "localhost.otherns", "otherns") == "localhost.otherns"
assert normalize_service_name(ir, "localhost", None, 'ConsulResolver') == "localhost"
assert normalize_service_name(ir, "localhost", "default", 'ConsulResolver') == "localhost"
assert normalize_service_name(ir, "localhost", "otherns", 'ConsulResolver') == "localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "localhost.otherns", None, 'ConsulResolver') == "localhost.otherns"
assert normalize_service_name(ir, "localhost.otherns", "default", 'ConsulResolver') == "localhost.otherns"
assert normalize_service_name(ir, "localhost.otherns", "otherns", 'ConsulResolver') == "localhost.otherns"
assert qualify_service_name(ir, "localhost:80", None) == "localhost:80"
assert qualify_service_name(ir, "localhost:80", "default") == "localhost:80"
assert qualify_service_name(ir, "localhost:80", "otherns") == "localhost:80"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "localhost.otherns:80", None) == "localhost.otherns:80"
assert qualify_service_name(ir, "localhost.otherns:80", "default") == "localhost.otherns:80"
assert qualify_service_name(ir, "localhost.otherns:80", "otherns") == "localhost.otherns:80"
assert normalize_service_name(ir, "localhost:80", None, 'ConsulResolver') == "localhost:80"
assert normalize_service_name(ir, "localhost:80", "default", 'ConsulResolver') == "localhost:80"
assert normalize_service_name(ir, "localhost:80", "otherns", 'ConsulResolver') == "localhost:80"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "localhost.otherns:80", None, 'ConsulResolver') == "localhost.otherns:80"
assert normalize_service_name(ir, "localhost.otherns:80", "default", 'ConsulResolver') == "localhost.otherns:80"
assert normalize_service_name(ir, "localhost.otherns:80", "otherns", 'ConsulResolver') == "localhost.otherns:80"
assert qualify_service_name(ir, "http://localhost", None) == "http://localhost"
assert qualify_service_name(ir, "http://localhost", "default") == "http://localhost"
assert qualify_service_name(ir, "http://localhost", "otherns") == "http://localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "http://localhost.otherns", None) == "http://localhost.otherns"
assert qualify_service_name(ir, "http://localhost.otherns", "default") == "http://localhost.otherns"
assert qualify_service_name(ir, "http://localhost.otherns", "otherns") == "http://localhost.otherns"
assert normalize_service_name(ir, "http://localhost", None, 'ConsulResolver') == "http://localhost"
assert normalize_service_name(ir, "http://localhost", "default", 'ConsulResolver') == "http://localhost"
assert normalize_service_name(ir, "http://localhost", "otherns", 'ConsulResolver') == "http://localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "http://localhost.otherns", None, 'ConsulResolver') == "http://localhost.otherns"
assert normalize_service_name(ir, "http://localhost.otherns", "default", 'ConsulResolver') == "http://localhost.otherns"
assert normalize_service_name(ir, "http://localhost.otherns", "otherns", 'ConsulResolver') == "http://localhost.otherns"
assert qualify_service_name(ir, "http://localhost:80", None) == "http://localhost:80"
assert qualify_service_name(ir, "http://localhost:80", "default") == "http://localhost:80"
assert qualify_service_name(ir, "http://localhost:80", "otherns") == "http://localhost:80"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "http://localhost.otherns:80", None) == "http://localhost.otherns:80"
assert qualify_service_name(ir, "http://localhost.otherns:80", "default") == "http://localhost.otherns:80"
assert qualify_service_name(ir, "http://localhost.otherns:80", "otherns") == "http://localhost.otherns:80"
assert normalize_service_name(ir, "http://localhost:80", None, 'ConsulResolver') == "http://localhost:80"
assert normalize_service_name(ir, "http://localhost:80", "default", 'ConsulResolver') == "http://localhost:80"
assert normalize_service_name(ir, "http://localhost:80", "otherns", 'ConsulResolver') == "http://localhost:80"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "http://localhost.otherns:80", None, 'ConsulResolver') == "http://localhost.otherns:80"
assert normalize_service_name(ir, "http://localhost.otherns:80", "default", 'ConsulResolver') == "http://localhost.otherns:80"
assert normalize_service_name(ir, "http://localhost.otherns:80", "otherns", 'ConsulResolver') == "http://localhost.otherns:80"
assert qualify_service_name(ir, "https://localhost", None) == "https://localhost"
assert qualify_service_name(ir, "https://localhost", "default") == "https://localhost"
assert qualify_service_name(ir, "https://localhost", "otherns") == "https://localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "https://localhost.otherns", None) == "https://localhost.otherns"
assert qualify_service_name(ir, "https://localhost.otherns", "default") == "https://localhost.otherns"
assert qualify_service_name(ir, "https://localhost.otherns", "otherns") == "https://localhost.otherns"
assert normalize_service_name(ir, "https://localhost", None, 'ConsulResolver') == "https://localhost"
assert normalize_service_name(ir, "https://localhost", "default", 'ConsulResolver') == "https://localhost"
assert normalize_service_name(ir, "https://localhost", "otherns", 'ConsulResolver') == "https://localhost"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "https://localhost.otherns", None, 'ConsulResolver') == "https://localhost.otherns"
assert normalize_service_name(ir, "https://localhost.otherns", "default", 'ConsulResolver') == "https://localhost.otherns"
assert normalize_service_name(ir, "https://localhost.otherns", "otherns", 'ConsulResolver') == "https://localhost.otherns"
assert qualify_service_name(ir, "https://localhost:443", None) == "https://localhost:443"
assert qualify_service_name(ir, "https://localhost:443", "default") == "https://localhost:443"
assert qualify_service_name(ir, "https://localhost:443", "otherns") == "https://localhost:443"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert qualify_service_name(ir, "https://localhost.otherns:443", None) == "https://localhost.otherns:443"
assert qualify_service_name(ir, "https://localhost.otherns:443", "default") == "https://localhost.otherns:443"
assert qualify_service_name(ir, "https://localhost.otherns:443", "otherns") == "https://localhost.otherns:443"
assert normalize_service_name(ir, "https://localhost:443", None, 'ConsulResolver') == "https://localhost:443"
assert normalize_service_name(ir, "https://localhost:443", "default", 'ConsulResolver') == "https://localhost:443"
assert normalize_service_name(ir, "https://localhost:443", "otherns", 'ConsulResolver') == "https://localhost:443"
# It's not meaningful to actually say "localhost.otherns", but it should passed through unchanged.
assert normalize_service_name(ir, "https://localhost.otherns:443", None, 'ConsulResolver') == "https://localhost.otherns:443"
assert normalize_service_name(ir, "https://localhost.otherns:443", "default", 'ConsulResolver') == "https://localhost.otherns:443"
assert normalize_service_name(ir, "https://localhost.otherns:443", "otherns", 'ConsulResolver') == "https://localhost.otherns:443"
assert qualify_service_name(ir, "ambassador://foo.ns", "otherns") == "ambassador://foo.ns" # let's not introduce silly semantics
assert qualify_service_name(ir, "//foo.ns:1234", "otherns") == "foo.ns:1234" # we tell people "URL-ish", actually support URL-ish
assert qualify_service_name(ir, "foo.ns:1234", "otherns") == "foo.ns:1234"
assert normalize_service_name(ir, "ambassador://foo.ns", "otherns", 'ConsulResolver') == "ambassador://foo.ns" # let's not introduce silly semantics
assert normalize_service_name(ir, "//foo.ns:1234", "otherns", 'ConsulResolver') == "foo.ns:1234" # we tell people "URL-ish", actually support URL-ish
assert normalize_service_name(ir, "foo.ns:1234", "otherns", 'ConsulResolver') == "foo.ns:1234"
errors = ir.aconf.errors
assert not errors
assert qualify_service_name(ir, "https://bad-service:443:443", "otherns") == "https://bad-service:443:443"
assert qualify_service_name(ir, "https://bad-service:443:443", "otherns", rkey="test-rkey") == "https://bad-service:443:443"
assert qualify_service_name(ir, "bad-service:443:443", "otherns") == "bad-service:443:443"
assert qualify_service_name(ir, "https://[fe80::e022:9cff:fecc:c7c4:443", "otherns") == "https://[fe80::e022:9cff:fecc:c7c4:443"
assert qualify_service_name(ir, "https://[fe80::e022:9cff:fecc:c7c4", "otherns") == "https://[fe80::e022:9cff:fecc:c7c4"
assert qualify_service_name(ir, "https://fe80::e022:9cff:fecc:c7c4", "otherns") == "https://fe80::e022:9cff:fecc:c7c4"
assert qualify_service_name(ir, "https://bad-service:-1", "otherns") == "https://bad-service:-1"
assert qualify_service_name(ir, "https://bad-service:70000", "otherns") == "https://bad-service:70000"
assert normalize_service_name(ir, "https://bad-service:443:443", "otherns", 'ConsulResolver') == "https://bad-service:443:443"
assert normalize_service_name(ir, "https://bad-service:443:443", "otherns", 'ConsulResolver', rkey="test-rkey") == "https://bad-service:443:443"
assert normalize_service_name(ir, "bad-service:443:443", "otherns", 'ConsulResolver') == "bad-service:443:443"
assert normalize_service_name(ir, "https://[fe80::e022:9cff:fecc:c7c4:443", "otherns", 'ConsulResolver') == "https://[fe80::e022:9cff:fecc:c7c4:443"
assert normalize_service_name(ir, "https://[fe80::e022:9cff:fecc:c7c4", "otherns", 'ConsulResolver') == "https://[fe80::e022:9cff:fecc:c7c4"
assert normalize_service_name(ir, "https://fe80::e022:9cff:fecc:c7c4", "otherns", 'ConsulResolver') == "https://fe80::e022:9cff:fecc:c7c4"
assert normalize_service_name(ir, "https://bad-service:-1", "otherns", 'ConsulResolver') == "https://bad-service:-1"
assert normalize_service_name(ir, "https://bad-service:70000", "otherns", 'ConsulResolver') == "https://bad-service:70000"
errors = ir.aconf.errors
assert "-global-" in errors
errors = errors["-global-"]
assert len(errors) == 16
# Ugg, different versions of Python have different error messages. Let's recognize the "Port could not be cast to
# integer value as" to keep pytest working on peoples up-to-date laptops with Python 3.8, and let's recognize
# "invalid literal for int() with base 10:" for the Python 3.7 in the builder container.
assert not errors[0]["ok"]
assert (errors[0]["error"] == "Malformed service 'https://bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[0]["error"] == "Malformed service 'https://bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[1]["ok"]
assert (errors[1]["error"] == "test-rkey: Malformed service 'https://bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[1]["error"] == "test-rkey: Malformed service 'https://bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[2]["ok"]
assert (errors[2]["error"] == "Malformed service 'bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[2]["error"] == "Malformed service 'bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[3]["ok"]
assert errors[3]["error"] == "Malformed service 'https://[fe80::e022:9cff:fecc:c7c4:443': Invalid IPv6 URL"
assert not errors[4]["ok"]
assert errors[4]["error"] == "Malformed service 'https://[fe80::e022:9cff:fecc:c7c4': Invalid IPv6 URL"
assert not errors[5]["ok"]
assert (errors[5]["error"] == "Malformed service 'https://fe80::e022:9cff:fecc:c7c4': Port could not be cast to integer value as ':e022:9cff:fecc:c7c4'" or
errors[5]["error"] == "Malformed service 'https://fe80::e022:9cff:fecc:c7c4': invalid literal for int() with base 10: ':e022:9cff:fecc:c7c4'")
assert not errors[6]["ok"]
assert errors[6]["error"] == "Malformed service 'https://bad-service:-1': Port out of range 0-65535"
assert not errors[7]["ok"]
assert errors[7]["error"] == "Malformed service 'https://bad-service:70000': Port out of range 0-65535"
assert not errors[8]["ok"]
assert (errors[8]["error"] == "Malformed service 'https://bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[8]["error"] == "Malformed service 'https://bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[9]["ok"]
assert (errors[9]["error"] == "test-rkey: Malformed service 'https://bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[9]["error"] == "test-rkey: Malformed service 'https://bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[10]["ok"]
assert (errors[10]["error"] == "Malformed service 'bad-service:443:443': Port could not be cast to integer value as '443:443'" or
errors[10]["error"] == "Malformed service 'bad-service:443:443': invalid literal for int() with base 10: '443:443'")
assert not errors[11]["ok"]
assert errors[11]["error"] == "Malformed service 'https://[fe80::e022:9cff:fecc:c7c4:443': Invalid IPv6 URL"
assert not errors[12]["ok"]
assert errors[12]["error"] == "Malformed service 'https://[fe80::e022:9cff:fecc:c7c4': Invalid IPv6 URL"
assert not errors[13]["ok"]
assert (errors[13]["error"] == "Malformed service 'https://fe80::e022:9cff:fecc:c7c4': Port could not be cast to integer value as ':e022:9cff:fecc:c7c4'" or
errors[13]["error"] == "Malformed service 'https://fe80::e022:9cff:fecc:c7c4': invalid literal for int() with base 10: ':e022:9cff:fecc:c7c4'")
assert not errors[14]["ok"]
assert errors[14]["error"] == "Malformed service 'https://bad-service:-1': Port out of range 0-65535"
assert not errors[15]["ok"]
assert errors[15]["error"] == "Malformed service 'https://bad-service:70000': Port out of range 0-65535"
if __name__ == '__main__':
pytest.main(sys.argv)
| 76.380805 | 160 | 0.710551 | 3,055 | 24,671 | 5.622259 | 0.055646 | 0.108232 | 0.127154 | 0.097811 | 0.916628 | 0.899395 | 0.879192 | 0.840126 | 0.789939 | 0.699348 | 0 | 0.042751 | 0.118236 | 24,671 | 322 | 161 | 76.618012 | 0.746805 | 0.066677 | 0 | 0.00813 | 0 | 0.065041 | 0.502434 | 0.020473 | 0 | 0 | 0 | 0 | 0.821138 | 1 | 0.00813 | false | 0 | 0.036585 | 0.004065 | 0.04878 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4851f64de833f7d957b296225856f44a9c545807 | 199 | py | Python | ss_util.py | bkkrueger/secret_santa | 3b0854b682e6d6f32f58c017138efd14ad23659a | [
"MIT"
] | null | null | null | ss_util.py | bkkrueger/secret_santa | 3b0854b682e6d6f32f58c017138efd14ad23659a | [
"MIT"
] | 1 | 2019-09-07T20:44:36.000Z | 2019-09-07T20:44:36.000Z | ss_util.py | bkkrueger/secret_santa | 3b0854b682e6d6f32f58c017138efd14ad23659a | [
"MIT"
] | null | null | null | # Imports
import math
# =============================================================================
# Miscellaneous support functions
def digits(N):
return(int(math.floor(math.log10(N))+1))
| 19.9 | 79 | 0.427136 | 17 | 199 | 5 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01676 | 0.100503 | 199 | 9 | 80 | 22.111111 | 0.458101 | 0.58794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
485ebe2ad205666c76d1db93a16cc4c0cdaa2ad0 | 6,640 | py | Python | tests/test_router_verify.py | chatalyan/fastapi-users | 2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34 | [
"MIT"
] | null | null | null | tests/test_router_verify.py | chatalyan/fastapi-users | 2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34 | [
"MIT"
] | 2 | 2022-02-18T04:38:15.000Z | 2022-03-07T04:36:52.000Z | tests/test_router_verify.py | chatalyan/fastapi-users | 2d6db3deea0fd7d4805ff2c5f6783fca8fc0fa34 | [
"MIT"
] | null | null | null | from typing import Any, AsyncGenerator, Dict, cast
import httpx
import pytest
from fastapi import FastAPI, status
from fastapi_users.manager import (
InvalidVerifyToken,
UserAlreadyVerified,
UserInactive,
UserNotExists,
)
from fastapi_users.router import ErrorCode, get_verify_router
from tests.conftest import AsyncMethodMocker, User, UserDB, UserManagerMock
@pytest.fixture
@pytest.mark.asyncio
async def test_app_client(
get_user_manager,
get_test_client,
) -> AsyncGenerator[httpx.AsyncClient, None]:
verify_router = get_verify_router(
get_user_manager,
User,
)
app = FastAPI()
app.include_router(verify_router)
async for client in get_test_client(app):
yield client
@pytest.mark.router
@pytest.mark.asyncio
class TestVerifyTokenRequest:
async def test_empty_body(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
response = await test_app_client.post("/request-verify-token", json={})
assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
assert user_manager.request_verify.called is False
async def test_wrong_email(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
json = {"email": "king.arthur"}
response = await test_app_client.post("/request-verify-token", json=json)
assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
assert user_manager.request_verify.called is False
async def test_user_not_exists(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
user_manager.get_by_email.side_effect = UserNotExists()
json = {"email": "user@example.com"}
response = await test_app_client.post("/request-verify-token", json=json)
assert response.status_code == status.HTTP_202_ACCEPTED
assert user_manager.request_verify.called is False
async def test_user_inactive(
self,
async_method_mocker: AsyncMethodMocker,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
user: UserDB,
):
async_method_mocker(user_manager, "get_by_email", return_value=user)
user_manager.request_verify.side_effect = UserInactive()
json = {"email": "user@example.com"}
response = await test_app_client.post("/request-verify-token", json=json)
assert response.status_code == status.HTTP_202_ACCEPTED
async def test_user_already_verified(
self,
async_method_mocker: AsyncMethodMocker,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
user: UserDB,
):
async_method_mocker(user_manager, "get_by_email", return_value=user)
user_manager.request_verify.side_effect = UserAlreadyVerified()
json = {"email": "user@example.com"}
response = await test_app_client.post("/request-verify-token", json=json)
assert response.status_code == status.HTTP_202_ACCEPTED
async def test_user_not_verified(
self,
async_method_mocker: AsyncMethodMocker,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
user: UserDB,
):
async_method_mocker(user_manager, "get_by_email", return_value=user)
async_method_mocker(user_manager, "request_verify", return_value=None)
json = {"email": "user@example.com"}
response = await test_app_client.post("/request-verify-token", json=json)
assert response.status_code == status.HTTP_202_ACCEPTED
async def test_token_namespace(
self,
get_user_manager,
):
verify_router = get_verify_router(
get_user_manager,
User,
)
app = FastAPI()
app.include_router(verify_router)
assert app.url_path_for("request_verify_token") == "/request-verify-token"
@pytest.mark.router
@pytest.mark.asyncio
class TestVerify:
async def test_empty_body(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
response = await test_app_client.post("/verify", json={})
assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
assert user_manager.verify.called is False
async def test_invalid_verify_token(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
user_manager.verify.side_effect = InvalidVerifyToken()
response = await test_app_client.post("/verify", json={"token": "foo"})
assert response.status_code == status.HTTP_400_BAD_REQUEST
data = cast(Dict[str, Any], response.json())
assert data["detail"] == ErrorCode.VERIFY_USER_BAD_TOKEN
async def test_user_not_exists(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
user_manager.verify.side_effect = UserNotExists()
response = await test_app_client.post("/verify", json={"token": "foo"})
assert response.status_code == status.HTTP_400_BAD_REQUEST
data = cast(Dict[str, Any], response.json())
assert data["detail"] == ErrorCode.VERIFY_USER_BAD_TOKEN
async def test_user_already_verified(
self,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
):
user_manager.verify.side_effect = UserAlreadyVerified()
response = await test_app_client.post("/verify", json={"token": "foo"})
assert response.status_code == status.HTTP_400_BAD_REQUEST
data = cast(Dict[str, Any], response.json())
assert data["detail"] == ErrorCode.VERIFY_USER_ALREADY_VERIFIED
async def test_success(
self,
async_method_mocker: AsyncMethodMocker,
test_app_client: httpx.AsyncClient,
user_manager: UserManagerMock,
user: UserDB,
):
async_method_mocker(user_manager, "verify", return_value=user)
response = await test_app_client.post("/verify", json={"token": "foo"})
assert response.status_code == status.HTTP_200_OK
data = cast(Dict[str, Any], response.json())
assert data["id"] == str(user.id)
async def test_verify_namespace(
self,
get_user_manager,
):
verify_router = get_verify_router(
get_user_manager,
User,
)
app = FastAPI()
app.include_router(verify_router)
assert app.url_path_for("verify") == "/verify"
| 34.051282 | 82 | 0.678916 | 767 | 6,640 | 5.571056 | 0.125163 | 0.082378 | 0.069974 | 0.046337 | 0.808565 | 0.79897 | 0.79897 | 0.768781 | 0.767377 | 0.744208 | 0 | 0.006449 | 0.229367 | 6,640 | 194 | 83 | 34.226804 | 0.828611 | 0 | 0 | 0.718563 | 0 | 0 | 0.063705 | 0.022139 | 0 | 0 | 0 | 0 | 0.125749 | 1 | 0 | false | 0 | 0.041916 | 0 | 0.053892 | 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 |
4870bc7f1c7521185f9065d06883a2c8dc838202 | 16,967 | py | Python | lib/model/faster_rcnn/alt_parts/resnet.py | Arieszhang1994/faster-rcnn_pytorch | a25dcf2bb9aeb22b508e67edb5ba093a482a30ad | [
"MIT"
] | 4 | 2018-11-16T12:32:49.000Z | 2019-05-09T10:03:21.000Z | lib/model/faster_rcnn/alt_parts/resnet.py | Arieszhang1994/faster-rcnn_pytorch | a25dcf2bb9aeb22b508e67edb5ba093a482a30ad | [
"MIT"
] | null | null | null | lib/model/faster_rcnn/alt_parts/resnet.py | Arieszhang1994/faster-rcnn_pytorch | a25dcf2bb9aeb22b508e67edb5ba093a482a30ad | [
"MIT"
] | 1 | 2019-01-02T12:50:36.000Z | 2019-01-02T12:50:36.000Z | # --------------------------------------------------------
# Pytorch Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Aries Zhang
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import torchvision.models as models
from torch.autograd import Variable
import numpy as np
from model.utils.config import cfg
from model.rpn.rpn import _RPN
from model.faster_rcnn.detector import _detector
import math
import torchvision.models as models
import torch.utils.model_zoo as model_zoo
from model.faster_rcnn.resnetparts import resnet101, resnet50, resnet152
class resnet_step1(nn.Module):
'''step1 for resnet'''
def __init__(self, classes, num_layers=101, fix_cnn_base=False, \
class_agnostic=False, pretrained=False, base_model='resnet101'):
super(resnet_step1, self).__init__()
if num_layers == 101:
self.model_path = 'data/pretrained_model/resnet101_caffe.pth'
elif num_layers == 50:
self.model_path = 'data/pretrained_model/resnet50_caffe.pth'
elif num_layers == 152:
self.model_path = 'data/pretrained_model/resnet152_caffe.pth'
self.dout_base_model = 1024
self.pretrained = pretrained
self.class_agnostic = class_agnostic
self.num_layer = num_layers
self.fix_cnn_base = fix_cnn_base
self.classes = classes
self.n_classes = len(classes)
# loss
self.RCNN_loss_cls = 0
self.RCNN_loss_bbox = 0
#define base
if self.num_layer == 101:
resnet = resnet101()
elif self.num_layer == 50:
resnet = resnet50()
elif self.num_layer == 152:
resnet = resnet152()
if self.pretrained:
print("Step1: Loading pretrained weights from %s" %(self.model_path))
state_dict = torch.load(self.model_path)
resnet.load_state_dict({k:v for k,v in state_dict.items() if k in resnet.state_dict()})
# Build resnet.
self.RCNN_base = nn.Sequential(resnet.conv1, resnet.bn1,resnet.relu, \
resnet.maxpool,resnet.layer1,resnet.layer2,resnet.layer3)
# Fix blocks
if fix_cnn_base:
for p in self.RCNN_base[0].parameters(): p.requires_grad=False
for p in self.RCNN_base[1].parameters(): p.requires_grad=False
assert (0 <= cfg.RESNET.FIXED_BLOCKS < 4)
if cfg.RESNET.FIXED_BLOCKS >= 3:
for p in self.RCNN_base[6].parameters(): p.requires_grad=False
if cfg.RESNET.FIXED_BLOCKS >= 2:
for p in self.RCNN_base[5].parameters(): p.requires_grad=False
if cfg.RESNET.FIXED_BLOCKS >= 1:
for p in self.RCNN_base[4].parameters(): p.requires_grad=False
def set_bn_fix(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
for p in m.parameters(): p.requires_grad=False
self.RCNN_base.apply(set_bn_fix)
# define rpn
self.RCNN_rpn = _RPN(self.dout_base_model)
#init weight
def normal_init(m, mean, stddev, truncated=False):
"""
weight initalizer: truncated normal and random normal.
"""
# x is a parameter
if truncated:
m.weight.data.normal_().fmod_(2).mul_(stddev).add_(mean) # not a perfect approximation
else:
m.weight.data.normal_(mean, stddev)
m.bias.data.zero_()
normal_init(self.RCNN_rpn.RPN_Conv, 0, 0.01, cfg.TRAIN.TRUNCATED)
normal_init(self.RCNN_rpn.RPN_cls_score, 0, 0.01, cfg.TRAIN.TRUNCATED)
normal_init(self.RCNN_rpn.RPN_bbox_pred, 0, 0.01, cfg.TRAIN.TRUNCATED)
def forward(self, im_data, im_info, gt_boxes, num_boxes):
batch_size = im_data.size(0)
im_info = im_info.data
gt_boxes = gt_boxes.data
num_boxes = num_boxes.data
# feed image data to base model to obtain base feature map
base_feat = self.RCNN_base(im_data)
# feed base feature map tp RPN to obtain rois
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes)
return rois, rpn_loss_cls, rpn_loss_bbox
def train(self, mode=True):
# Override train so that the training mode is set as we want
nn.Module.train(self, mode)
if mode and self.fix_cnn_base:
# Set fixed blocks to be in eval mode
self.RCNN_base.eval()
self.RCNN_base[5].train()
self.RCNN_base[6].train()
def set_bn_eval(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
m.eval()
self.RCNN_base.apply(set_bn_eval)
#self.detector.RCNN_top.apply(set_bn_eval)
class resnet_step2(nn.Module):
'''step2 for resnet'''
def __init__(self, classes, step1_model_path, num_layers=101, fix_cnn_base=False, \
class_agnostic=False, pretrained=False, base_model='resnet101'):
super(resnet_step2, self).__init__()
if num_layers == 101:
self.model_path = 'data/pretrained_model/resnet101_caffe.pth'
elif num_layers == 50:
self.model_path = 'data/pretrained_model/resnet50_caffe.pth'
elif num_layers == 152:
self.model_path = 'data/pretrained_model/resnet152_caffe.pth'
self.dout_base_model = 1024
self.pretrained = pretrained
self.class_agnostic = class_agnostic
self.num_layer = num_layers
self.fix_cnn_base = fix_cnn_base
self.classes = classes
self.n_classes = len(classes)
self.base_model = 'resnet'+str(self.num_layer)
# loss
self.RCNN_loss_cls = 0
self.RCNN_loss_bbox = 0
#define base
if self.num_layer == 101:
resnet = resnet101()
elif self.num_layer == 50:
resnet = resnet50()
elif self.num_layer == 152:
resnet = resnet152()
if self.pretrained:
print("Step2: Loading pretrained weights from %s" %(self.model_path))
state_dict = torch.load(self.model_path)
resnet.load_state_dict({k:v for k,v in state_dict.items() if k in resnet.state_dict()})
# Build resnet.
self.RCNN_base = nn.Sequential(resnet.conv1, resnet.bn1,resnet.relu, \
resnet.maxpool,resnet.layer1,resnet.layer2,resnet.layer3)
# Fix blocks
if fix_cnn_base:
for p in self.RCNN_base[0].parameters(): p.requires_grad=False
for p in self.RCNN_base[1].parameters(): p.requires_grad=False
assert (0 <= cfg.RESNET.FIXED_BLOCKS < 4)
if cfg.RESNET.FIXED_BLOCKS >= 3:
for p in self.RCNN_base[6].parameters(): p.requires_grad=False
if cfg.RESNET.FIXED_BLOCKS >= 2:
for p in self.RCNN_base[5].parameters(): p.requires_grad=False
if cfg.RESNET.FIXED_BLOCKS >= 1:
for p in self.RCNN_base[4].parameters(): p.requires_grad=False
def set_bn_fix(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
for p in m.parameters(): p.requires_grad=False
self.RCNN_base.apply(set_bn_fix)
# define rpn
self.RCNN_rpn = _RPN(self.dout_base_model)
#init weight of rpn
state_dict_rpn = torch.load(step1_model_path)
self.RCNN_rpn.load_state_dict({k.replace('RCNN_rpn.',''):v for k,v in state_dict_rpn['model'].items() if 'RCNN_rpn' in k})
for key, value in dict(self.RCNN_rpn.named_parameters()).items():
value.requires_grad = False
# define detector
self.detector = _detector(self.classes, self.class_agnostic,pretrained, base_model=self.base_model)
#init weight of detector
def normal_init(m, mean, stddev, truncated=False):
"""
weight initalizer: truncated normal and random normal.
"""
# x is a parameter
if truncated:
m.weight.data.normal_().fmod_(2).mul_(stddev).add_(mean) # not a perfect approximation
else:
m.weight.data.normal_(mean, stddev)
m.bias.data.zero_()
normal_init(self.detector.RCNN_cls_score, 0, 0.01, cfg.TRAIN.TRUNCATED)
normal_init(self.detector.RCNN_bbox_pred, 0, 0.001, cfg.TRAIN.TRUNCATED)
def forward(self, im_data, im_info, gt_boxes, num_boxes):
batch_size = im_data.size(0)
im_info = im_info.data
gt_boxes = gt_boxes.data
num_boxes = num_boxes.data
# feed image data to base model to obtain base feature map
base_feat = self.RCNN_base(im_data)
# feed base feature map tp RPN to obtain rois
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes, alt=True)
if not self.training:
rpn_loss_cls = 0
rpn_loss_bbox = 0
# detector part
rois, cls_prob, bbox_pred, \
RCNN_loss_cls, RCNN_loss_bbox, \
rois_label = self.detector(base_feat, rois, batch_size,gt_boxes, num_boxes)
return rois, cls_prob, bbox_pred, rpn_loss_cls, rpn_loss_bbox, RCNN_loss_cls, RCNN_loss_bbox, rois_label
def train(self, mode=True):
# Override train so that the training mode is set as we want
nn.Module.train(self, mode)
if mode and self.fix_cnn_base:
# Set fixed blocks to be in eval mode
self.RCNN_base.eval()
self.RCNN_base[5].train()
self.RCNN_base[6].train()
def set_bn_eval(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
m.eval()
self.RCNN_base.apply(set_bn_eval)
self.detector.RCNN_top.apply(set_bn_eval)
class resnet_step3(nn.Module):
'''step3 for resnet'''
def __init__(self, classes, step2_model_path, num_layers=101, fix_cnn_base=False, \
class_agnostic=False, pretrained=False, base_model='resnet101'):
super(resnet_step3, self).__init__()
self.model_path = step2_model_path
self.dout_base_model = 1024
self.pretrained = pretrained
self.class_agnostic = class_agnostic
self.num_layer = num_layers
self.fix_cnn_base = fix_cnn_base
self.classes = classes
self.n_classes = len(classes)
self.base_model = 'resnet'+str(self.num_layer)
# loss
self.RCNN_loss_cls = 0
self.RCNN_loss_bbox = 0
if self.num_layer == 101:
resnet = resnet101()
elif self.num_layer == 50:
resnet = resnet50()
elif self.num_layer == 152:
resnet = resnet152()
print("Step3: Loading pretrained weights from %s" %(self.model_path))
state_dict = torch.load(self.model_path)
# Build resnet.
self.RCNN_base = nn.Sequential(resnet.conv1, resnet.bn1,resnet.relu,
resnet.maxpool,resnet.layer1,resnet.layer2,resnet.layer3)
self.RCNN_base.load_state_dict({k.replace('RCNN_base.',''):v for k,v in state_dict['model'].items() if 'RCNN_base' in k})
for key, value in dict(self.RCNN_base.named_parameters()).items():
value.requires_grad = False
# define rpn
self.RCNN_rpn = _RPN(self.dout_base_model)
self.RCNN_rpn.load_state_dict({k.replace('RCNN_rpn.',''):v for k,v in state_dict['model'].items() if 'RCNN_rpn' in k})
def forward(self, im_data, im_info, gt_boxes, num_boxes):
batch_size = im_data.size(0)
im_info = im_info.data
gt_boxes = gt_boxes.data
num_boxes = num_boxes.data
# feed image data to base model to obtain base feature map
base_feat = self.RCNN_base(im_data)
# feed base feature map tp RPN to obtain rois
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes)
return rois, rpn_loss_cls, rpn_loss_bbox
def train(self, mode=True):
# Override train so that the training mode is set as we want
nn.Module.train(self, mode)
if mode and self.fix_cnn_base:
# Set fixed blocks to be in eval mode
self.RCNN_base.eval()
self.RCNN_base[5].train()
self.RCNN_base[6].train()
def set_bn_eval(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
m.eval()
self.RCNN_base.apply(set_bn_eval)
#self.detector.RCNN_top.apply(set_bn_eval)
class resnet_step4(nn.Module):
'''step4 for resnet'''
def __init__(self, classes, step2_model_path, step3_model_path, num_layers=101, fix_cnn_base=False, \
class_agnostic=False, pretrained=False, base_model='resnet101'):
super(resnet_step4, self).__init__()
self.step2_model_path = step2_model_path
self.step3_model_path = step3_model_path
self.dout_base_model = 1024
self.pretrained = pretrained
self.class_agnostic = class_agnostic
self.num_layer = num_layers
self.fix_cnn_base = fix_cnn_base
self.classes = classes
self.n_classes = len(classes)
self.base_model = 'resnet'+str(self.num_layer)
# loss
self.RCNN_loss_cls = 0
self.RCNN_loss_bbox = 0
#define base
if self.num_layer == 101:
resnet = resnet101()
elif self.num_layer == 50:
resnet = resnet50()
elif self.num_layer == 152:
resnet = resnet152()
print("Step4: Loading pretrained weights from %s and %s" %(step2_model_path,step3_model_path))
state_dict_step2 = torch.load(self.step2_model_path)
state_dict_step3 = torch.load(self.step3_model_path)
# not using the last maxpool layer
# Build resnet.
self.RCNN_base = nn.Sequential(resnet.conv1, resnet.bn1,resnet.relu,
resnet.maxpool,resnet.layer1,resnet.layer2,resnet.layer3)
self.RCNN_base.load_state_dict({k.replace('RCNN_base.',''):v for k,v in state_dict_step3['model'].items() if 'RCNN_base' in k})
for key, value in dict(self.RCNN_base.named_parameters()).items():
value.requires_grad = False
# define rpn
self.RCNN_rpn = _RPN(self.dout_base_model)
#init weight of rpn
self.RCNN_rpn.load_state_dict({k.replace('RCNN_rpn.',''):v for k,v in state_dict_step3['model'].items() if 'RCNN_rpn' in k})
for key, value in dict(self.RCNN_rpn.named_parameters()).items():
value.requires_grad = False
# define detector
self.detector = _detector(self.classes, self.class_agnostic,pretrained, base_model=base_model)
self.detector.load_state_dict({k.replace('detector.',''):v for k,v in state_dict_step2['model'].items() if 'detector' in k})
def forward(self, im_data, im_info, gt_boxes, num_boxes):
batch_size = im_data.size(0)
im_info = im_info.data
gt_boxes = gt_boxes.data
num_boxes = num_boxes.data
# feed image data to base model to obtain base feature map
base_feat = self.RCNN_base(im_data)
# feed base feature map tp RPN to obtain rois
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes, alt=True)
if not self.training:
rpn_loss_cls = 0
rpn_loss_bbox = 0
# detector part
rois, cls_prob, bbox_pred, \
RCNN_loss_cls, RCNN_loss_bbox, \
rois_label = self.detector(base_feat, rois, batch_size,gt_boxes, num_boxes)
return rois, cls_prob, bbox_pred, rpn_loss_cls, rpn_loss_bbox, RCNN_loss_cls, RCNN_loss_bbox, rois_label
def train(self, mode=True):
# Override train so that the training mode is set as we want
nn.Module.train(self, mode)
if mode and self.fix_cnn_base:
# Set fixed blocks to be in eval mode
self.RCNN_base.eval()
self.RCNN_base[5].train()
self.RCNN_base[6].train()
def set_bn_eval(m):
classname = m.__class__.__name__
if classname.find('BatchNorm') != -1:
m.eval()
self.RCNN_base.apply(set_bn_eval)
self.detector.RCNN_top.apply(set_bn_eval)
| 39.735363 | 135 | 0.619084 | 2,325 | 16,967 | 4.24172 | 0.082581 | 0.051916 | 0.048672 | 0.027986 | 0.914419 | 0.897688 | 0.875786 | 0.873758 | 0.873758 | 0.866356 | 0 | 0.022244 | 0.279307 | 16,967 | 426 | 136 | 39.828639 | 0.784266 | 0.099428 | 0 | 0.831615 | 0 | 0 | 0.043513 | 0.016111 | 0 | 0 | 0 | 0 | 0.006873 | 1 | 0.068729 | false | 0 | 0.061856 | 0 | 0.158076 | 0.017182 | 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 |
4881d14daccfe500478871fca0b1d3da52462ac2 | 52,413 | py | Python | thirdparty/blender_autocomplete-master/2.82/bpy/ops/transform.py | Ray1184/HPMSBatch | 3852710e7366361cb9e90f471ddccbbce5ffe8ee | [
"MIT"
] | null | null | null | thirdparty/blender_autocomplete-master/2.82/bpy/ops/transform.py | Ray1184/HPMSBatch | 3852710e7366361cb9e90f471ddccbbce5ffe8ee | [
"MIT"
] | null | null | null | thirdparty/blender_autocomplete-master/2.82/bpy/ops/transform.py | Ray1184/HPMSBatch | 3852710e7366361cb9e90f471ddccbbce5ffe8ee | [
"MIT"
] | null | null | null | import sys
import typing
def bend(value: float = (0.0),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Bend selected items between the 3D cursor and the mouse
:param value: Angle
:type value: float
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def create_orientation(name: str = "",
use_view: bool = False,
use: bool = False,
overwrite: bool = False):
'''Create transformation orientation from selection
:param name: Name, Name of the new custom orientation
:type name: str
:param use_view: Use View, Use the current view instead of the active object to create the new orientation
:type use_view: bool
:param use: Use After Creation, Select orientation after its creation
:type use: bool
:param overwrite: Overwrite Previous, Overwrite previously created orientation with same name
:type overwrite: bool
'''
pass
def delete_orientation():
'''Delete transformation orientation
'''
pass
def edge_bevelweight(value: float = 0.0,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Change the bevel weight of edges
:param value: Factor
:type value: float
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def edge_crease(value: float = 0.0,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Change the crease of edges
:param value: Factor
:type value: float
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def edge_slide(value: float = 0.0,
single_side: bool = False,
use_even: bool = False,
flipped: bool = False,
use_clamp: bool = True,
mirror: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
correct_uv: bool = True,
release_confirm: bool = False,
use_accurate: bool = False):
'''Slide an edge loop along a mesh
:param value: Factor
:type value: float
:param single_side: Single Side
:type single_side: bool
:param use_even: Even, Make the edge loop match the shape of the adjacent edge loop
:type use_even: bool
:param flipped: Flipped, When Even mode is active, flips between the two adjacent edge loops
:type flipped: bool
:param use_clamp: Clamp, Clamp within the edge extents
:type use_clamp: bool
:param mirror: Mirror Editing
:type mirror: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param correct_uv: Correct UVs, Correct UV coordinates when transforming
:type correct_uv: bool
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def from_gizmo():
'''Transform selected items by mode type
'''
pass
def mirror(orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0,
0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Mirror selected items around one or more axes
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def push_pull(value: float = 0.0,
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Push/Pull selected items
:param value: Distance
:type value: float
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def resize(value: float = (1.0, 1.0, 1.0),
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0,
0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
texture_space: bool = False,
remove_on_cancel: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Scale (resize) selected items
:param value: Scale
:type value: float
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param texture_space: Edit Texture Space, Edit Object data texture space
:type texture_space: bool
:param remove_on_cancel: Remove on Cancel, Remove elements on cancel
:type remove_on_cancel: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def rotate(value: float = 0.0,
orient_axis: typing.Union[str, int] = 'Z',
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0,
0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Rotate selected items
:param value: Angle
:type value: float
:param orient_axis: Axis
:type orient_axis: typing.Union[str, int]
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def rotate_normal(value: float = 0.0,
orient_axis: typing.Union[str, int] = 'Z',
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0),
(0.0, 0.0, 0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
release_confirm: bool = False,
use_accurate: bool = False):
'''Rotate split normal of selected items
:param value: Angle
:type value: float
:param orient_axis: Axis
:type orient_axis: typing.Union[str, int]
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def select_orientation(orientation: typing.Union[str, int] = 'GLOBAL'):
'''Select transformation orientation
:param orientation: Orientation, Transformation orientation
:type orientation: typing.Union[str, int]
'''
pass
def seq_slide(value: float = (0.0, 0.0),
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Slide a sequence strip in time
:param value: Offset
:type value: float
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def shear(value: float = 0.0,
orient_axis: typing.Union[str, int] = 'Z',
orient_axis_ortho: typing.Union[str, int] = 'X',
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0,
0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
release_confirm: bool = False,
use_accurate: bool = False):
'''Shear selected items along the horizontal screen axis
:param value: Offset
:type value: float
:param orient_axis: Axis
:type orient_axis: typing.Union[str, int]
:param orient_axis_ortho: Axis Ortho
:type orient_axis_ortho: typing.Union[str, int]
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def shrink_fatten(value: float = 0.0,
use_even_offset: bool = False,
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Shrink/fatten selected vertices along normals
:param value: Offset
:type value: float
:param use_even_offset: Offset Even, Scale the offset to give more even thickness
:type use_even_offset: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def skin_resize(value: float = (1.0, 1.0, 1.0),
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0),
(0.0, 0.0, 0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Scale selected vertices’ skin radii
:param value: Scale
:type value: float
:param orient_type: Orientation, Transformation orientation
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix Orientation
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def tilt(value: float = 0.0,
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Tilt selected control vertices of 3D curve
:param value: Angle
:type value: float
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def tosphere(value: float = 0.0,
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Move selected vertices outward in a spherical shape around mesh center
:param value: Factor
:type value: float
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def trackball(value: float = (0.0, 0.0),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Trackball style rotation of selected items
:param value: Angle
:type value: float
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def transform(mode: typing.Union[str, int] = 'TRANSLATION',
value: float = (0.0, 0.0, 0.0, 0.0),
orient_axis: typing.Union[str, int] = 'Z',
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0),
(0.0, 0.0, 0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
center_override: float = (0.0, 0.0, 0.0),
release_confirm: bool = False,
use_accurate: bool = False):
'''Transform selected items by mode type
:param mode: Mode
:type mode: typing.Union[str, int]
:param value: Values
:type value: float
:param orient_axis: Axis
:type orient_axis: typing.Union[str, int]
:param orient_type: Orientation, Transformation orientationGLOBAL Global, Align the transformation axes to world space.LOCAL Local, Align the transformation axes to the selected objects’ local space.NORMAL Normal, Align the transformation axes to average normal of selected elements (bone Y axis for pose mode).GIMBAL Gimbal, Align each axis to the Euler rotation axis as used for input.VIEW View, Align the transformation axes to the window.CURSOR Cursor, Align the transformation axes to the 3D cursor.
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix OrientationGLOBAL Global, Align the transformation axes to world space.LOCAL Local, Align the transformation axes to the selected objects’ local space.NORMAL Normal, Align the transformation axes to average normal of selected elements (bone Y axis for pose mode).GIMBAL Gimbal, Align each axis to the Euler rotation axis as used for input.VIEW View, Align the transformation axes to the window.CURSOR Cursor, Align the transformation axes to the 3D cursor.
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param center_override: Center Override, Force using this center value (when set)
:type center_override: float
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def translate(value: float = (0.0, 0.0, 0.0),
orient_type: typing.Union[str, int] = 'GLOBAL',
orient_matrix: float = ((0.0, 0.0, 0.0), (0.0, 0.0, 0.0),
(0.0, 0.0, 0.0)),
orient_matrix_type: typing.Union[str, int] = 'GLOBAL',
constraint_axis: bool = (False, False, False),
mirror: bool = False,
use_proportional_edit: bool = False,
proportional_edit_falloff: typing.Union[str, int] = 'SMOOTH',
proportional_size: float = 1.0,
use_proportional_connected: bool = False,
use_proportional_projected: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
gpencil_strokes: bool = False,
cursor_transform: bool = False,
texture_space: bool = False,
remove_on_cancel: bool = False,
release_confirm: bool = False,
use_accurate: bool = False):
'''Move selected items
:param value: Move
:type value: float
:param orient_type: Orientation, Transformation orientationGLOBAL Global, Align the transformation axes to world space.LOCAL Local, Align the transformation axes to the selected objects’ local space.NORMAL Normal, Align the transformation axes to average normal of selected elements (bone Y axis for pose mode).GIMBAL Gimbal, Align each axis to the Euler rotation axis as used for input.VIEW View, Align the transformation axes to the window.CURSOR Cursor, Align the transformation axes to the 3D cursor.
:type orient_type: typing.Union[str, int]
:param orient_matrix: Matrix
:type orient_matrix: float
:param orient_matrix_type: Matrix OrientationGLOBAL Global, Align the transformation axes to world space.LOCAL Local, Align the transformation axes to the selected objects’ local space.NORMAL Normal, Align the transformation axes to average normal of selected elements (bone Y axis for pose mode).GIMBAL Gimbal, Align each axis to the Euler rotation axis as used for input.VIEW View, Align the transformation axes to the window.CURSOR Cursor, Align the transformation axes to the 3D cursor.
:type orient_matrix_type: typing.Union[str, int]
:param constraint_axis: Constraint Axis
:type constraint_axis: bool
:param mirror: Mirror Editing
:type mirror: bool
:param use_proportional_edit: Proportional Editing
:type use_proportional_edit: bool
:param proportional_edit_falloff: Proportional Falloff, Falloff type for proportional editing modeSMOOTH Smooth, Smooth falloff.SPHERE Sphere, Spherical falloff.ROOT Root, Root falloff.INVERSE_SQUARE Inverse Square, Inverse Square falloff.SHARP Sharp, Sharp falloff.LINEAR Linear, Linear falloff.CONSTANT Constant, Constant falloff.RANDOM Random, Random falloff.
:type proportional_edit_falloff: typing.Union[str, int]
:param proportional_size: Proportional Size
:type proportional_size: float
:param use_proportional_connected: Connected
:type use_proportional_connected: bool
:param use_proportional_projected: Projected (2D)
:type use_proportional_projected: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param gpencil_strokes: Edit Grease Pencil, Edit selected Grease Pencil strokes
:type gpencil_strokes: bool
:param cursor_transform: Transform Cursor
:type cursor_transform: bool
:param texture_space: Edit Texture Space, Edit Object data texture space
:type texture_space: bool
:param remove_on_cancel: Remove on Cancel, Remove elements on cancel
:type remove_on_cancel: bool
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def vert_slide(value: float = 0.0,
use_even: bool = False,
flipped: bool = False,
use_clamp: bool = True,
mirror: bool = False,
snap: bool = False,
snap_target: typing.Union[str, int] = 'CLOSEST',
snap_point: float = (0.0, 0.0, 0.0),
snap_align: bool = False,
snap_normal: float = (0.0, 0.0, 0.0),
correct_uv: bool = True,
release_confirm: bool = False,
use_accurate: bool = False):
'''Slide a vertex along a mesh
:param value: Factor
:type value: float
:param use_even: Even, Make the edge loop match the shape of the adjacent edge loop
:type use_even: bool
:param flipped: Flipped, When Even mode is active, flips between the two adjacent edge loops
:type flipped: bool
:param use_clamp: Clamp, Clamp within the edge extents
:type use_clamp: bool
:param mirror: Mirror Editing
:type mirror: bool
:param snap: Use Snapping Options
:type snap: bool
:param snap_target: TargetCLOSEST Closest, Snap closest point onto target.CENTER Center, Snap transformation center onto target.MEDIAN Median, Snap median onto target.ACTIVE Active, Snap active onto target.
:type snap_target: typing.Union[str, int]
:param snap_point: Point
:type snap_point: float
:param snap_align: Align with Point Normal
:type snap_align: bool
:param snap_normal: Normal
:type snap_normal: float
:param correct_uv: Correct UVs, Correct UV coordinates when transforming
:type correct_uv: bool
:param release_confirm: Confirm on Release, Always confirm operation when releasing button
:type release_confirm: bool
:param use_accurate: Accurate, Use accurate transformation
:type use_accurate: bool
'''
pass
def vertex_random(offset: float = 0.0,
uniform: float = 0.0,
normal: float = 0.0,
seed: int = 0,
wait_for_input: bool = True):
'''Randomize vertices
:param offset: Amount, Distance to offset
:type offset: float
:param uniform: Uniform, Increase for uniform offset distance
:type uniform: float
:param normal: Normal, Align offset direction to normals
:type normal: float
:param seed: Random Seed, Seed for the random number generator
:type seed: int
:param wait_for_input: Wait for Input
:type wait_for_input: bool
'''
pass
def vertex_warp(warp_angle: float = 6.28319,
offset_angle: float = 0.0,
min: float = -1,
max: float = 1.0,
viewmat: float = ((0.0, 0.0, 0.0, 0.0), (0.0, 0.0, 0.0, 0.0),
(0.0, 0.0, 0.0, 0.0), (0.0, 0.0, 0.0, 0.0)),
center: float = (0.0, 0.0, 0.0)):
'''Warp vertices around the cursor
:param warp_angle: Warp Angle, Amount to warp about the cursor
:type warp_angle: float
:param offset_angle: Offset Angle, Angle to use as the basis for warping
:type offset_angle: float
:param min: Min
:type min: float
:param max: Max
:type max: float
:param viewmat: Matrix
:type viewmat: float
:param center: Center
:type center: float
'''
pass
| 47.346883 | 509 | 0.677733 | 6,611 | 52,413 | 5.230071 | 0.035244 | 0.024063 | 0.029847 | 0.033318 | 0.936025 | 0.932092 | 0.928447 | 0.92437 | 0.923386 | 0.922721 | 0 | 0.014017 | 0.244558 | 52,413 | 1,106 | 510 | 47.389693 | 0.859225 | 0.638677 | 0 | 0.869186 | 0 | 0 | 0.019386 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072674 | false | 0.072674 | 0.005814 | 0 | 0.078488 | 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 |
6fd98b24b0f317cce296b8f3c1d52ddebbf8aa14 | 811 | py | Python | config/mysql.py | ibegyourpardon/flask_api_scaffold | 43df8f4a53f2611bb9e2577e798c22c57102fa17 | [
"Apache-2.0"
] | null | null | null | config/mysql.py | ibegyourpardon/flask_api_scaffold | 43df8f4a53f2611bb9e2577e798c22c57102fa17 | [
"Apache-2.0"
] | null | null | null | config/mysql.py | ibegyourpardon/flask_api_scaffold | 43df8f4a53f2611bb9e2577e798c22c57102fa17 | [
"Apache-2.0"
] | null | null | null | """
MySQL配置 防止变量污染，用函数组织
"""
def mysql_config_dev():
mysql_config = {
"DB_HOST" : "localhost",
"DB_PORT" : "3306",
"DB_NAME" : "root",
"DB_USER" : "root",
"DB_PWD" : "123456",
"DB_CHARSET" : "utf8mb4",
"DB_MAX_OPEN_CONNS" : "20", # 连接池最大连接数
"DB_MAX_IDLE_CONNS" : "10", # 连接池最大空闲数
"DB_MAX_LIFETIME_CONNS" : "7200", # 连接池链接最长生命周期
}
return mysql_config
def mysql_config_prod():
mysql_config = {
"DB_HOST" : "localhost",
"DB_PORT" : "3306",
"DB_NAME" : "root",
"DB_USER" : "root",
"DB_PWD" : "123456",
"DB_CHARSET" : "utf8mb4",
"DB_MAX_OPEN_CONNS" : "20", # 连接池最大连接数
"DB_MAX_IDLE_CONNS" : "10", # 连接池最大空闲数
"DB_MAX_LIFETIME_CONNS" : "7200", # 连接池链接最长生命周期
}
return mysql_config
| 23.852941 | 53 | 0.55857 | 93 | 811 | 4.462366 | 0.344086 | 0.159036 | 0.06747 | 0.081928 | 0.872289 | 0.872289 | 0.872289 | 0.872289 | 0.872289 | 0.872289 | 0 | 0.068259 | 0.277435 | 811 | 33 | 54 | 24.575758 | 0.639932 | 0.099877 | 0 | 0.846154 | 0 | 0 | 0.412281 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.153846 | 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 |
b504dfd372f3be8352a5c2c059f376aecbefbbf3 | 65 | py | Python | collection/1.py | nemero/py_neural | 87f151097f8c331a06f13b96c4cec9a1ee663abf | [
"MIT"
] | null | null | null | collection/1.py | nemero/py_neural | 87f151097f8c331a06f13b96c4cec9a1ee663abf | [
"MIT"
] | 1 | 2017-01-18T18:35:03.000Z | 2017-01-25T08:55:49.000Z | collection/1.py | nemero/py_neural | 87f151097f8c331a06f13b96c4cec9a1ee663abf | [
"MIT"
] | null | null | null | 0 0 0 0 1
0 0 1 1
0 1 0 1
0 0 0 1
0 0 0 1
0 0 0 1
0 0 0 1
0 0 0 1 | 8.125 | 9 | 0.507692 | 33 | 65 | 1 | 0.060606 | 0.848485 | 0.636364 | 0.727273 | 0.848485 | 0.848485 | 0.666667 | 0.666667 | 0.666667 | 0.666667 | 0 | 1 | 0.492308 | 65 | 8 | 10 | 8.125 | 0 | 0 | 0 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
b506ca1064873f8fddb5565e9d51a1c86deeb8c2 | 7,989 | py | Python | migrations/versions/29d131f4c8bf_logintest2.py | Oday1024/cdt-auth | 9b5a76abcd84779286010a619c04384a863eacb8 | [
"MIT"
] | null | null | null | migrations/versions/29d131f4c8bf_logintest2.py | Oday1024/cdt-auth | 9b5a76abcd84779286010a619c04384a863eacb8 | [
"MIT"
] | null | null | null | migrations/versions/29d131f4c8bf_logintest2.py | Oday1024/cdt-auth | 9b5a76abcd84779286010a619c04384a863eacb8 | [
"MIT"
] | null | null | null | """logintest2
Revision ID: 29d131f4c8bf
Revises: d00f3b9c7dbf
Create Date: 2018-03-08 00:30:16.239569
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '29d131f4c8bf'
down_revision = 'd00f3b9c7dbf'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('td_log',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('log_time', sa.DateTime(), nullable=True),
sa.Column('account', sa.String(length=128), nullable=True),
sa.Column('res_id', sa.String(length=128), nullable=True),
sa.Column('res_path', sa.String(length=128), nullable=True),
sa.Column('sys_res_id', sa.String(length=128), nullable=True),
sa.Column('sys_res_name', sa.String(length=128), nullable=True),
sa.Column('sys_res_path', sa.String(length=128), nullable=True),
sa.Column('page_res_id', sa.String(length=128), nullable=True),
sa.Column('page_res_name', sa.String(length=128), nullable=True),
sa.Column('page_res_path', sa.String(length=128), nullable=True),
sa.Column('func_res_id', sa.String(length=128), nullable=True),
sa.Column('func_res_name', sa.String(length=128), nullable=True),
sa.Column('func_res_path', sa.String(length=128), nullable=True),
sa.Column('params', sa.String(length=128), nullable=True),
sa.Column('log_date', sa.Date(), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_menu',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('menu_id', sa.String(length=128), nullable=True),
sa.Column('menu_name', sa.String(length=128), nullable=True),
sa.Column('menu_res_path', sa.String(length=128), nullable=True),
sa.Column('p_menu_id', sa.String(length=128), nullable=True),
sa.Column('sys_res_id', sa.String(length=128), nullable=True),
sa.Column('sys_res_name', sa.String(length=128), nullable=True),
sa.Column('sys_res_path', sa.String(length=128), nullable=True),
sa.Column('page_res_id', sa.String(length=128), nullable=True),
sa.Column('page_res_name', sa.String(length=128), nullable=True),
sa.Column('page_res_path', sa.String(length=128), nullable=True),
sa.Column('sort_id', sa.Integer(), nullable=True),
sa.Column('icon', sa.String(length=128), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_res',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('res_id', sa.String(length=128), nullable=True),
sa.Column('res_name', sa.String(length=128), nullable=True),
sa.Column('func_name', sa.String(length=128), nullable=True),
sa.Column('res_flag', sa.String(length=128), nullable=True),
sa.Column('res_path', sa.String(length=128), nullable=True),
sa.Column('res_type_id', sa.Integer(), nullable=True),
sa.Column('res_type', sa.String(length=128), nullable=True),
sa.Column('p_res_id', sa.String(length=128), nullable=True),
sa.Column('p_res_name', sa.String(length=128), nullable=True),
sa.Column('api_url', sa.String(length=128), nullable=True),
sa.Column('sys_res_id', sa.String(length=128), nullable=True),
sa.Column('sys_res_name', sa.String(length=128), nullable=True),
sa.Column('sys_name', sa.String(length=128), nullable=True),
sa.Column('sys_flag', sa.String(length=128), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.Column('update_time', sa.DateTime(), nullable=True),
sa.Column('updater', sa.String(length=128), nullable=True),
sa.Column('create_time', sa.DateTime(), nullable=True),
sa.Column('creater', sa.String(length=128), nullable=True),
sa.Column('data_access_level', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_res_type',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('res_type', sa.String(length=128), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('res_type'),
schema='sys'
)
op.create_table('td_role',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('role_id', sa.String(length=128), nullable=True),
sa.Column('role_name', sa.String(length=128), nullable=True),
sa.Column('data_scope', sa.Integer(), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.Column('b_inside', sa.Integer(), nullable=True),
sa.Column('b_super', sa.Integer(), nullable=True),
sa.Column('update_time', sa.DateTime(), nullable=True),
sa.Column('updater', sa.String(length=128), nullable=True),
sa.Column('create_time', sa.DateTime(), nullable=True),
sa.Column('creater', sa.String(length=128), nullable=True),
sa.Column('data_role', sa.String(length=128), nullable=True),
sa.Column('data_access_level', sa.Integer(), nullable=True),
sa.Column('inside_default_open_id', sa.String(length=128), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_role_res',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('role_id', sa.String(length=128), nullable=True),
sa.Column('res_id', sa.String(length=128), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.Column('update_time', sa.DateTime(), nullable=True),
sa.Column('updater', sa.String(length=128), nullable=True),
sa.Column('create_time', sa.DateTime(), nullable=True),
sa.Column('creater', sa.String(length=128), nullable=True),
sa.Column('data_role', sa.String(length=128), nullable=True),
sa.Column('data_access_level', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_role_user',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('role_id', sa.String(length=128), nullable=True),
sa.Column('open_id', sa.String(length=128), nullable=True),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.Column('update_time', sa.DateTime(), nullable=True),
sa.Column('updater', sa.String(length=128), nullable=True),
sa.Column('create_time', sa.DateTime(), nullable=True),
sa.Column('creater', sa.String(length=128), nullable=True),
sa.Column('data_role', sa.String(length=128), nullable=True),
sa.Column('data_access_level', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
op.create_table('td_user',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('open_id', sa.String(length=128), nullable=False),
sa.Column('account', sa.String(length=128), nullable=False),
sa.Column('password', sa.String(length=128), nullable=False),
sa.Column('deleted', sa.Integer(), nullable=True),
sa.Column('b_inside', sa.Integer(), nullable=True),
sa.Column('update_time', sa.DateTime(), nullable=True),
sa.Column('updater', sa.String(length=128), nullable=True),
sa.Column('create_time', sa.DateTime(), nullable=True),
sa.Column('creater', sa.String(length=128), nullable=True),
sa.Column('data_role', sa.String(length=128), nullable=True),
sa.Column('data_access_level', sa.Integer(), nullable=True),
sa.Column('inside_default_role_id', sa.String(length=128), nullable=True),
sa.PrimaryKeyConstraint('id'),
schema='sys'
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('td_user', schema='sys')
op.drop_table('td_role_user', schema='sys')
op.drop_table('td_role_res', schema='sys')
op.drop_table('td_role', schema='sys')
op.drop_table('td_res_type', schema='sys')
op.drop_table('td_res', schema='sys')
op.drop_table('td_menu', schema='sys')
op.drop_table('td_log', schema='sys')
# ### end Alembic commands ###
| 47.272189 | 78 | 0.680185 | 1,144 | 7,989 | 4.624126 | 0.077797 | 0.152741 | 0.238185 | 0.310019 | 0.931002 | 0.920416 | 0.9138 | 0.874102 | 0.81966 | 0.768053 | 0 | 0.033572 | 0.12755 | 7,989 | 168 | 79 | 47.553571 | 0.725395 | 0.03655 | 0 | 0.573333 | 0 | 0 | 0.148564 | 0.005744 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013333 | false | 0.006667 | 0.013333 | 0 | 0.026667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
82efb14dac4baaa02b7ebfbe2c760805e7e1ebcd | 42 | py | Python | src/lib/os2emxpath.py | DTenore/skulpt | 098d20acfb088d6db85535132c324b7ac2f2d212 | [
"MIT"
] | 2,671 | 2015-01-03T08:23:25.000Z | 2022-03-31T06:15:48.000Z | src/lib/os2emxpath.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 972 | 2015-01-05T08:11:00.000Z | 2022-03-29T13:47:15.000Z | src/lib/os2emxpath.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 845 | 2015-01-03T19:53:36.000Z | 2022-03-29T18:34:22.000Z | import _sk_fail; _sk_fail._("os2emxpath")
| 21 | 41 | 0.785714 | 6 | 42 | 4.666667 | 0.666667 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025641 | 0.071429 | 42 | 1 | 42 | 42 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0.238095 | 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 |
d2050ba81058c1284ca359db5619fc486fca04d2 | 259,155 | py | Python | tests/examples/minlplib/fdesign25.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/fdesign25.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/fdesign25.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # NLP written by GAMS Convert at 04/21/18 13:52:11
#
# Equation counts
# Total E G L N X C B
# 307 2 1 304 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# Total cont binary integer sos1 sos2 scont sint
# 30 30 0 0 0 0 0 0
# FX 1 1 0 0 0 0 0 0
#
# Nonzero counts
# Total const NL DLL
# 7791 7788 3 0
from pyomo.environ import *
model = m = ConcreteModel()
m.x1 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x2 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x3 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x4 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x5 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x6 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x7 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x8 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x9 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x10 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x11 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x12 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x13 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x14 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x15 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x16 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x17 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x18 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x19 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x20 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x21 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x22 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x23 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x24 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x25 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x26 = Var(within=Reals,bounds=(1,None),initialize=1)
m.x27 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x28 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x29 = Var(within=Reals,bounds=(0,None),initialize=0)
m.x30 = Var(within=Reals,bounds=(2,2),initialize=2)
m.obj = Objective(expr=m.x26, sense=minimize)
m.c1 = Constraint(expr= 2*m.x1 + 2*m.x2 + 2*m.x3 + 2*m.x4 + 2*m.x5 + 2*m.x6 + 2*m.x7 + 2*m.x8 + 2*m.x9 + 2*m.x10
+ 2*m.x11 + 2*m.x12 + 2*m.x13 + 2*m.x14 + 2*m.x15 + 2*m.x16 + 2*m.x17 + 2*m.x18 + 2*m.x19
+ 2*m.x20 + 2*m.x21 + 2*m.x22 + 2*m.x23 + 2*m.x24 + 2*m.x25 - m.x26 <= 0)
m.c2 = Constraint(expr= 1.81992254175309*m.x1 + 1.83412014877025*m.x2 + 1.84775906502257*m.x3 + 1.86083513596405*m.x4
+ 1.8733443784968*m.x5 + 1.88528298218436*m.x6 + 1.8966473104124*m.x7 + 1.90743390149645*m.x8
+ 1.91763946973639*m.x9 + 1.92726090641725*m.x10 + 1.93629528075622*m.x11
+ 1.94473984079535*m.x12 + 1.95259201423987*m.x13 + 1.95984940924166*m.x14
+ 1.96650981512791*m.x15 + 1.97257120307446*m.x16 + 1.97803172672383*m.x17
+ 1.98288972274762*m.x18 + 1.98714371135317*m.x19 + 1.99079239673436*m.x20
+ 1.99383466746626*m.x21 + 1.99626959684373*m.x22 + 1.99809644316372*m.x23
+ 1.99931464995111*m.x24 + 1.99992384612834*m.x25 - m.x26 <= 0)
m.c3 = Constraint(expr= 1.31211805798101*m.x1 + 1.363996720125*m.x2 + 1.4142135623731*m.x3 + 1.46270740323834*m.x4
+ 1.50941916044554*m.x5 + 1.55429192291394*m.x6 + 1.59727102009459*m.x7 + 1.63830408857798*m.x8
+ 1.67734113589085*m.x9 + 1.71433460140422*m.x10 + 1.74923941427879*m.x11
+ 1.78201304837674*m.x12 + 1.8126155740733*m.x13 + 1.84100970690488*m.x14
+ 1.8671608529944*m.x15 + 1.89103715119863*m.x16 + 1.91260951192607*m.x17
+ 1.93185165257814*m.x18 + 1.94874012957047*m.x19 + 1.96325436689533*m.x20
+ 1.97537668119028*m.x21 + 1.98509230328264*m.x22 + 1.99238939618349*m.x23
+ 1.99725906950915*m.x24 + 1.99969539031278*m.x25 - m.x26 <= 0)
m.c4 = Constraint(expr= 0.568030689407845*m.x1 + 0.667613718467542*m.x2 + 0.76536686473018*m.x3
+ 0.86102219361659*m.x4 + 0.954317520519217*m.x5 + 1.0449971294319*m.x6 + 1.13281247384967*m.x7
+ 1.21752285801744*m.x8 + 1.29889609666037*m.x9 + 1.37670915138751*m.x10
+ 1.45074874202458*m.x11 + 1.52081193120006*m.x12 + 1.58670668058247*m.x13
+ 1.64825237724403*m.x14 + 1.70528032870818*m.x15 + 1.75763422532393*m.x16
+ 1.80517056869972*m.x17 + 1.84775906502257*m.x18 + 1.88528298218436*m.x19
+ 1.91763946973639*m.x20 + 1.94473984079535*m.x21 + 1.96650981512791*m.x22
+ 1.98288972274762*m.x23 + 1.99383466746626*m.x24 + 1.99931464995111*m.x25 - m.x26 <= 0)
m.c5 = Constraint(expr= - 0.278346201920131*m.x1 - 0.139512947488251*m.x2 + 1.22464679914735E-16*m.x3
+ 0.13951294748825*m.x4 + 0.278346201920131*m.x5 + 0.415823381635519*m.x6
+ 0.551274711633998*m.x7 + 0.684040286651338*m.x8 + 0.8134732861516*m.x9
+ 0.938943125571782*m.x10 + 1.05983852846641*m.x11 + 1.17557050458495*m.x12
+ 1.28557521937308*m.x13 + 1.38931674091799*m.x14 + 1.48628965095479*m.x15
+ 1.57602150721344*m.x16 + 1.65807514511008*m.x17 + 1.73205080756888*m.x18
+ 1.79758809259833*m.x19 + 1.85436770913357*m.x20 + 1.90211303259031*m.x21
+ 1.94059145255199*m.x22 + 1.96961550602442*m.x23 + 1.98904379073655*m.x24
+ 1.99878165403819*m.x25 - m.x26 <= 0)
m.c6 = Constraint(expr= - 1.07459921669365*m.x1 - 0.923497226470067*m.x2 - 0.765366864730179*m.x3
- 0.601411599008546*m.x4 - 0.432879227876206*m.x5 - 0.261052384440103*m.x6
- 0.0872387747306718*m.x7 + 0.087238774730672*m.x8 + 0.261052384440103*m.x9
+ 0.432879227876206*m.x10 + 0.601411599008547*m.x11 + 0.76536686473018*m.x12
+ 0.923497226470068*m.x13 + 1.07459921669365*m.x14 + 1.21752285801744*m.x15
+ 1.35118041523132*m.x16 + 1.47455467362025*m.x17 + 1.58670668058247*m.x18
+ 1.68678289162577*m.x19 + 1.77402166635644*m.x20 + 1.84775906502257*m.x21
+ 1.90743390149645*m.x22 + 1.95259201423987*m.x23 + 1.98288972274762*m.x24
+ 1.99809644316372*m.x25 - m.x26 <= 0)
m.c7 = Constraint(expr= - 1.67734113589085*m.x1 - 1.55429192291394*m.x2 - 1.41421356237309*m.x3 - 1.25864078209968*m.x4
- 1.08927807003005*m.x5 - 0.907980999479093*m.x6 - 0.716735899090601*m.x7
- 0.517638090205042*m.x8 - 0.312868930080462*m.x9 - 0.104671912485888*m.x10
+ 0.104671912485887*m.x11 + 0.312868930080461*m.x12 + 0.517638090205041*m.x13
+ 0.7167358990906*m.x14 + 0.907980999479094*m.x15 + 1.08927807003005*m.x16
+ 1.25864078209968*m.x17 + 1.41421356237309*m.x18 + 1.55429192291394*m.x19
+ 1.67734113589085*m.x20 + 1.78201304837674*m.x21 + 1.8671608529944*m.x22
+ 1.93185165257814*m.x23 + 1.97537668119028*m.x24 + 1.99725906950915*m.x25 - m.x26 <= 0)
m.c8 = Constraint(expr= - 1.97803172672383*m.x1 - 1.92726090641725*m.x2 - 1.84775906502257*m.x3 - 1.7407113918798*m.x4
- 1.60771372123443*m.x5 - 1.45074874202458*m.x6 - 1.27215644055553*m.x7 - 1.07459921669365*m.x8
- 0.861022193616591*m.x9 - 0.634609312810184*m.x10 - 0.398735868834395*m.x11
- 0.15691819145569*m.x12 + 0.087238774730672*m.x13 + 0.330095211721355*m.x14
+ 0.568030689407845*m.x15 + 0.797498137850493*m.x16 + 1.01507672592141*m.x17
+ 1.21752285801744*m.x18 + 1.4018185285997*m.x19 + 1.56521631370483*m.x20
+ 1.70528032870818*m.x21 + 1.81992254175309*m.x22 + 1.90743390149645*m.x23
+ 1.96650981512791*m.x24 + 1.99626959684373*m.x25 - m.x26 <= 0)
m.c9 = Constraint(expr= - 1.92252339187664*m.x1 - 1.98053613748314*m.x2 - 2*m.x3 - 1.98053613748314*m.x4
- 1.92252339187664*m.x5 - 1.8270909152852*m.x6 - 1.69609619231285*m.x7 - 1.53208888623796*m.x8
- 1.33826121271772*m.x9 - 1.11838580694149*m.x10 - 0.876742293578155*m.x11
- 0.618033988749895*m.x12 - 0.347296355333861*m.x13 - 0.0697989934050019*m.x14
+ 0.209056926535307*m.x15 + 0.483843791199335*m.x16 + 0.749213186831824*m.x17 + m.x18
+ 1.23132295065132*m.x19 + 1.4386796006773*m.x20 + 1.61803398874989*m.x21
+ 1.76589518571785*m.x22 + 1.87938524157182*m.x23 + 1.95629520146761*m.x24
+ 1.99512810051965*m.x25 - m.x26 <= 0)
m.c10 = Constraint(expr= - 1.52081193120006*m.x1 - 1.70528032870818*m.x2 - 1.84775906502257*m.x3 - 1.94473984079535*m.x4
- 1.99383466746626*m.x5 - 1.99383466746626*m.x6 - 1.94473984079535*m.x7 - 1.84775906502257*m.x8
- 1.70528032870818*m.x9 - 1.52081193120006*m.x10 - 1.29889609666037*m.x11
- 1.0449971294319*m.x12 - 0.765366864730179*m.x13 - 0.466890727711811*m.x14
- 0.15691819145569*m.x15 + 0.15691819145569*m.x16 + 0.466890727711811*m.x17
+ 0.76536686473018*m.x18 + 1.0449971294319*m.x19 + 1.29889609666037*m.x20
+ 1.52081193120006*m.x21 + 1.70528032870818*m.x22 + 1.84775906502257*m.x23
+ 1.94473984079535*m.x24 + 1.99383466746626*m.x25 - m.x26 <= 0)
m.c11 = Constraint(expr= - 0.8452365234814*m.x1 - 1.14715287270209*m.x2 - 1.4142135623731*m.x3 - 1.63830408857798*m.x4
- 1.8126155740733*m.x5 - 1.93185165257814*m.x6 - 1.99238939618349*m.x7 - 1.99238939618349*m.x8
- 1.93185165257814*m.x9 - 1.8126155740733*m.x10 - 1.63830408857798*m.x11
- 1.41421356237309*m.x12 - 1.14715287270209*m.x13 - 0.845236523481399*m.x14
- 0.517638090205041*m.x15 - 0.174311485495316*m.x16 + 0.174311485495317*m.x17
+ 0.517638090205041*m.x18 + 0.845236523481399*m.x19 + 1.14715287270209*m.x20
+ 1.4142135623731*m.x21 + 1.63830408857798*m.x22 + 1.8126155740733*m.x23
+ 1.93185165257814*m.x24 + 1.99238939618349*m.x25 - m.x26 <= 0)
m.c12 = Constraint(expr= - 0.0174530709967489*m.x1 - 0.398735868834395*m.x2 - 0.765366864730181*m.x3
- 1.10387397062412*m.x4 - 1.4018185285997*m.x5 - 1.64825237724403*m.x6 - 1.83412014877025*m.x7
- 1.95259201423987*m.x8 - 1.99931464995111*m.x9 - 1.97257120307446*m.x10
- 1.8733443784968*m.x11 - 1.70528032870818*m.x12 - 1.47455467362025*m.x13
- 1.18964557350268*m.x14 - 0.86102219361659*m.x15 - 0.500760008108883*m.x16
- 0.122097079069714*m.x17 + 0.261052384440103*m.x18 + 0.634609312810185*m.x19
+ 0.984847120206934*m.x20 + 1.29889609666037*m.x21 + 1.56521631370483*m.x22
+ 1.77402166635644*m.x23 + 1.91763946973639*m.x24 + 1.99079239673436*m.x25 - m.x26 <= 0)
m.c13 = Constraint(expr= 0.813473286151601*m.x1 + 0.415823381635519*m.x2 - 3.67394039744206E-16*m.x3
- 0.415823381635518*m.x4 - 0.8134732861516*m.x5 - 1.17557050458495*m.x6 - 1.48628965095479*m.x7
- 1.73205080756888*m.x8 - 1.90211303259031*m.x9 - 1.98904379073655*m.x10
- 1.98904379073655*m.x11 - 1.90211303259031*m.x12 - 1.73205080756888*m.x13
- 1.48628965095479*m.x14 - 1.17557050458495*m.x15 - 0.813473286151601*m.x16
- 0.415823381635519*m.x17 - 3.21624529935327E-16*m.x18 + 0.415823381635518*m.x19
+ 0.8134732861516*m.x20 + 1.17557050458495*m.x21 + 1.48628965095479*m.x22
+ 1.73205080756888*m.x23 + 1.90211303259031*m.x24 + 1.98904379073655*m.x25 - m.x26 <= 0)
m.c14 = Constraint(expr= 1.497911441578*m.x1 + 1.16140591142188*m.x2 + 0.76536686473018*m.x3 + 0.330095211721356*m.x4
- 0.122097079069714*m.x5 - 0.568030689407845*m.x6 - 0.984847120206934*m.x7
- 1.35118041523132*m.x8 - 1.64825237724403*m.x9 - 1.86083513596405*m.x10
- 1.97803172672383*m.x11 - 1.99383466746626*m.x12 - 1.90743390149645*m.x13
- 1.72325832088305*m.x14 - 1.45074874202458*m.x15 - 1.10387397062412*m.x16
- 0.700414762518935*m.x17 - 0.261052384440103*m.x18 + 0.191691505040448*m.x19
+ 0.634609312810184*m.x20 + 1.0449971294319*m.x21 + 1.4018185285997*m.x22
+ 1.68678289162577*m.x23 + 1.88528298218436*m.x24 + 1.98714371135317*m.x25 - m.x26 <= 0)
m.c15 = Constraint(expr= 1.91260951192607*m.x1 + 1.71433460140422*m.x2 + 1.41421356237309*m.x3 + 1.03007614982011*m.x4
+ 0.584743409445473*m.x5 + 0.104671912485888*m.x6 - 0.381617990753089*m.x7
- 0.845236523481398*m.x8 - 1.25864078209967*m.x9 - 1.59727102009459*m.x10
- 1.84100970690488*m.x11 - 1.97537668119028*m.x12 - 1.99238939618349*m.x13
- 1.89103715119863*m.x14 - 1.67734113589085*m.x15 - 1.363996720125*m.x16
- 0.969619240492674*m.x17 - 0.517638090205042*m.x18 - 0.034904812874567*m.x19
+ 0.44990210868773*m.x20 + 0.907980999479094*m.x21 + 1.31211805798101*m.x22
+ 1.63830408857798*m.x23 + 1.8671608529944*m.x24 + 1.98509230328264*m.x25 - m.x26 <= 0)
m.c16 = Constraint(expr= 1.98288972274762*m.x1 + 1.98288972274762*m.x2 + 1.84775906502257*m.x3 + 1.58670668058247*m.x4
+ 1.21752285801744*m.x5 + 0.765366864730178*m.x6 + 0.261052384440103*m.x7
- 0.261052384440105*m.x8 - 0.765366864730181*m.x9 - 1.21752285801744*m.x10
- 1.58670668058247*m.x11 - 1.84775906502257*m.x12 - 1.98288972274762*m.x13
- 1.98288972274762*m.x14 - 1.84775906502257*m.x15 - 1.58670668058247*m.x16
- 1.21752285801744*m.x17 - 0.765366864730179*m.x18 - 0.261052384440103*m.x19
+ 0.261052384440103*m.x20 + 0.76536686473018*m.x21 + 1.21752285801744*m.x22
+ 1.58670668058247*m.x23 + 1.84775906502257*m.x24 + 1.98288972274762*m.x25 - m.x26 <= 0)
m.c17 = Constraint(expr= 1.69609619231285*m.x1 + 1.92252339187664*m.x2 + 2*m.x3 + 1.92252339187664*m.x4
+ 1.69609619231285*m.x5 + 1.33826121271772*m.x6 + 0.876742293578155*m.x7
+ 0.34729635533386*m.x8 - 0.209056926535307*m.x9 - 0.749213186831825*m.x10
- 1.23132295065132*m.x11 - 1.61803398874989*m.x12 - 1.87938524157182*m.x13
- 1.99512810051965*m.x14 - 1.95629520146761*m.x15 - 1.76589518571785*m.x16
- 1.4386796006773*m.x17 - m.x18 - 0.483843791199336*m.x19 + 0.0697989934050022*m.x20
+ 0.618033988749895*m.x21 + 1.11838580694149*m.x22 + 1.53208888623796*m.x23
+ 1.8270909152852*m.x24 + 1.98053613748314*m.x25 - m.x26 <= 0)
m.c18 = Constraint(expr= 1.10387397062412*m.x1 + 1.54324916677544*m.x2 + 1.84775906502257*m.x3 + 1.99079239673436*m.x4
+ 1.95984940924166*m.x5 + 1.75763422532393*m.x6 + 1.4018185285997*m.x7 + 0.923497226470068*m.x8
+ 0.364471050984295*m.x9 - 0.226406427535812*m.x10 - 0.797498137850492*m.x11
- 1.29889609666037*m.x12 - 1.68678289162577*m.x13 - 1.92726090641725*m.x14
- 1.99931464995111*m.x15 - 1.8966473104124*m.x16 - 1.62823103671264*m.x17
- 1.21752285801744*m.x18 - 0.700414762518935*m.x19 - 0.122097079069714*m.x20
+ 0.466890727711811*m.x21 + 1.01507672592141*m.x22 + 1.47455467362025*m.x23
+ 1.80517056869972*m.x24 + 1.97803172672383*m.x25 - m.x26 <= 0)
m.c19 = Constraint(expr= 0.312868930080462*m.x1 + 0.907980999479094*m.x2 + 1.4142135623731*m.x3
+ 1.78201304837674*m.x4 + 1.97537668119028*m.x5 + 1.97537668119028*m.x6 + 1.78201304837674*m.x7
+ 1.41421356237309*m.x8 + 0.907980999479093*m.x9 + 0.312868930080461*m.x10
- 0.312868930080462*m.x11 - 0.907980999479094*m.x12 - 1.4142135623731*m.x13
- 1.78201304837674*m.x14 - 1.97537668119028*m.x15 - 1.97537668119028*m.x16
- 1.78201304837674*m.x17 - 1.41421356237309*m.x18 - 0.907980999479093*m.x19
- 0.312868930080462*m.x20 + 0.312868930080462*m.x21 + 0.907980999479094*m.x22
+ 1.4142135623731*m.x23 + 1.78201304837674*m.x24 + 1.97537668119028*m.x25 - m.x26 <= 0)
m.c20 = Constraint(expr= - 0.534476752156515*m.x1 + 0.122097079069714*m.x2 + 0.765366864730179*m.x3
+ 1.32524009643147*m.x4 + 1.7407113918798*m.x5 + 1.96650981512791*m.x6 + 1.97803172672383*m.x7
+ 1.77402166635644*m.x8 + 1.37670915138751*m.x9 + 0.829386485312478*m.x10
+ 0.191691505040448*m.x11 - 0.46689072771181*m.x12 - 1.07459921669365*m.x13
- 1.56521631370483*m.x14 - 1.88528298218436*m.x15 - 1.99992384612834*m.x16
- 1.8966473104124*m.x17 - 1.58670668058247*m.x18 - 1.10387397062412*m.x19
- 0.500760008108883*m.x20 + 0.15691819145569*m.x21 + 0.797498137850492*m.x22
+ 1.35118041523132*m.x23 + 1.75763422532393*m.x24 + 1.97257120307446*m.x25 - m.x26 <= 0)
m.c21 = Constraint(expr= - 1.28557521937308*m.x1 - 0.684040286651336*m.x2 + 6.12323399573677E-16*m.x3
+ 0.684040286651339*m.x4 + 1.28557521937308*m.x5 + 1.73205080756888*m.x6
+ 1.96961550602442*m.x7 + 1.96961550602442*m.x8 + 1.73205080756888*m.x9
+ 1.28557521937308*m.x10 + 0.684040286651336*m.x11 - 3.67394039744206E-16*m.x12
- 0.684040286651339*m.x13 - 1.28557521937308*m.x14 - 1.73205080756888*m.x15
- 1.96961550602442*m.x16 - 1.96961550602442*m.x17 - 1.73205080756888*m.x18
- 1.28557521937308*m.x19 - 0.684040286651337*m.x20 + 1.22464679914735E-16*m.x21
+ 0.684040286651338*m.x22 + 1.28557521937308*m.x23 + 1.73205080756888*m.x24
+ 1.96961550602442*m.x25 - m.x26 <= 0)
m.c22 = Constraint(expr= - 1.80517056869972*m.x1 - 1.37670915138751*m.x2 - 0.76536686473018*m.x3
- 0.052353896615746*m.x4 + 0.667613718467541*m.x5 + 1.29889609666037*m.x6
+ 1.75763422532393*m.x7 + 1.98288972274762*m.x8 + 1.94473984079535*m.x9
+ 1.64825237724403*m.x10 + 1.13281247384966*m.x11 + 0.466890727711811*m.x12
- 0.261052384440103*m.x13 - 0.954317520519217*m.x14 - 1.52081193120006*m.x15
- 1.88528298218436*m.x16 - 1.99931464995111*m.x17 - 1.84775906502257*m.x18
- 1.45074874202458*m.x19 - 0.861022193616591*m.x20 - 0.15691819145569*m.x21
+ 0.568030689407845*m.x22 + 1.21752285801744*m.x23 + 1.70528032870818*m.x24
+ 1.96650981512791*m.x25 - m.x26 <= 0)
m.c23 = Constraint(expr= - 1.99969539031278*m.x1 - 1.84100970690488*m.x2 - 1.41421356237309*m.x3
- 0.781462256978547*m.x4 - 0.034904812874566*m.x5 + 0.716735899090602*m.x6
+ 1.363996720125*m.x7 + 1.8126155740733*m.x8 + 1.99725906950915*m.x9 + 1.89103715119863*m.x10
+ 1.50941916044554*m.x11 + 0.907980999479093*m.x12 + 0.174311485495316*m.x13
- 0.584743409445474*m.x14 - 1.25864078209968*m.x15 - 1.74923941427879*m.x16
- 1.98509230328264*m.x17 - 1.93185165257814*m.x18 - 1.59727102009459*m.x19
- 1.03007614982011*m.x20 - 0.312868930080462*m.x21 + 0.44990210868773*m.x22
+ 1.14715287270209*m.x23 + 1.67734113589085*m.x24 + 1.96325436689533*m.x25 - m.x26 <= 0)
m.c24 = Constraint(expr= - 1.83412014877025*m.x1 - 1.99992384612834*m.x2 - 1.84775906502257*m.x3 - 1.4018185285997*m.x4
- 0.733002453448593*m.x5 + 0.0523538966157472*m.x6 + 0.829386485312479*m.x7
+ 1.47455467362025*m.x8 + 1.88528298218436*m.x9 + 1.99626959684373*m.x10
+ 1.78986872320405*m.x11 + 1.29889609666037*m.x12 + 0.601411599008547*m.x13
- 0.191691505040449*m.x14 - 0.954317520519217*m.x15 - 1.56521631370483*m.x16
- 1.92726090641725*m.x17 - 1.98288972274762*m.x18 - 1.72325832088305*m.x19
- 1.18964557350268*m.x20 - 0.466890727711811*m.x21 + 0.330095211721355*m.x22
+ 1.07459921669365*m.x23 + 1.64825237724403*m.x24 + 1.95984940924166*m.x25 - m.x26 <= 0)
m.c25 = Constraint(expr= - 1.33826121271772*m.x1 - 1.8270909152852*m.x2 - 2*m.x3 - 1.8270909152852*m.x4
- 1.33826121271772*m.x5 - 0.618033988749894*m.x6 + 0.209056926535307*m.x7 + m.x8
+ 1.61803398874989*m.x9 + 1.95629520146761*m.x10 + 1.95629520146761*m.x11
+ 1.6180339887499*m.x12 + m.x13 + 0.209056926535308*m.x14 - 0.618033988749895*m.x15
- 1.33826121271772*m.x16 - 1.8270909152852*m.x17 - 2*m.x18 - 1.8270909152852*m.x19
- 1.33826121271772*m.x20 - 0.618033988749895*m.x21 + 0.209056926535307*m.x22 + m.x23
+ 1.61803398874989*m.x24 + 1.95629520146761*m.x25 - m.x26 <= 0)
m.c26 = Constraint(expr= - 0.601411599008548*m.x1 - 1.35118041523132*m.x2 - 1.84775906502257*m.x3
- 1.99809644316372*m.x4 - 1.77402166635644*m.x5 - 1.21752285801744*m.x6
- 0.432879227876206*m.x7 + 0.432879227876206*m.x8 + 1.21752285801744*m.x9
+ 1.77402166635644*m.x10 + 1.99809644316372*m.x11 + 1.84775906502257*m.x12
+ 1.35118041523132*m.x13 + 0.601411599008545*m.x14 - 0.261052384440103*m.x15
- 1.07459921669365*m.x16 - 1.68678289162577*m.x17 - 1.98288972274762*m.x18
- 1.90743390149645*m.x19 - 1.47455467362025*m.x20 - 0.765366864730179*m.x21
+ 0.087238774730672*m.x22 + 0.923497226470068*m.x23 + 1.58670668058247*m.x24
+ 1.95259201423987*m.x25 - m.x26 <= 0)
m.c27 = Constraint(expr= 0.243738686810297*m.x1 - 0.651136308914312*m.x2 - 1.41421356237309*m.x3
- 1.89103715119863*m.x4 - 1.98509230328264*m.x5 - 1.67734113589085*m.x6 - 1.03007614982011*m.x7
- 0.174311485495317*m.x8 + 0.7167358990906*m.x9 + 1.46270740323834*m.x10
+ 1.91260951192607*m.x11 + 1.97537668119028*m.x12 + 1.63830408857798*m.x13
+ 0.969619240492675*m.x14 + 0.104671912485888*m.x15 - 0.781462256978548*m.x16
- 1.50941916044554*m.x17 - 1.93185165257814*m.x18 - 1.96325436689533*m.x19
- 1.59727102009459*m.x20 - 0.907980999479093*m.x21 - 0.034904812874567*m.x22
+ 0.845236523481399*m.x23 + 1.55429192291394*m.x24 + 1.94874012957047*m.x25 - m.x26 <= 0)
m.c28 = Constraint(expr= 1.0449971294319*m.x1 + 0.15691819145569*m.x2 - 0.765366864730181*m.x3 - 1.52081193120006*m.x4
- 1.94473984079535*m.x5 - 1.94473984079535*m.x6 - 1.52081193120006*m.x7 - 0.76536686473018*m.x8
+ 0.156918191455691*m.x9 + 1.0449971294319*m.x10 + 1.70528032870819*m.x11
+ 1.99383466746626*m.x12 + 1.84775906502257*m.x13 + 1.29889609666037*m.x14
+ 0.46689072771181*m.x15 - 0.46689072771181*m.x16 - 1.29889609666037*m.x17
- 1.84775906502257*m.x18 - 1.99383466746626*m.x19 - 1.70528032870818*m.x20
- 1.0449971294319*m.x21 - 0.15691819145569*m.x22 + 0.76536686473018*m.x23
+ 1.52081193120006*m.x24 + 1.94473984079535*m.x25 - m.x26 <= 0)
m.c29 = Constraint(expr= 1.65807514511008*m.x1 + 0.93894312557178*m.x2 - 8.57252759403147E-16*m.x3
- 0.938943125571782*m.x4 - 1.65807514511008*m.x5 - 1.98904379073655*m.x6
- 1.85436770913358*m.x7 - 1.28557521937308*m.x8 - 0.41582338163552*m.x9
+ 0.551274711633998*m.x10 + 1.38931674091799*m.x11 + 1.90211303259031*m.x12
+ 1.96961550602442*m.x13 + 1.57602150721344*m.x14 + 0.813473286151601*m.x15
- 0.139512947488251*m.x16 - 1.05983852846641*m.x17 - 1.73205080756888*m.x18
- 1.99878165403819*m.x19 - 1.79758809259833*m.x20 - 1.17557050458495*m.x21
- 0.278346201920131*m.x22 + 0.684040286651338*m.x23 + 1.48628965095479*m.x24
+ 1.94059145255199*m.x25 - m.x26 <= 0)
m.c30 = Constraint(expr= 1.97257120307446*m.x1 + 1.56521631370483*m.x2 + 0.76536686473018*m.x3
- 0.226406427535811*m.x4 - 1.16140591142188*m.x5 - 1.80517056869972*m.x6
- 1.99626959684373*m.x7 - 1.68678289162577*m.x8 - 0.954317520519218*m.x9
+ 0.0174530709967474*m.x10 + 0.984847120206933*m.x11 + 1.70528032870818*m.x12
+ 1.99809644316372*m.x13 + 1.78986872320405*m.x14 + 1.13281247384967*m.x15
+ 0.191691505040448*m.x16 - 0.797498137850492*m.x17 - 1.58670668058247*m.x18
- 1.97803172672383*m.x19 - 1.8733443784968*m.x20 - 1.29889609666037*m.x21
- 0.398735868834395*m.x22 + 0.601411599008546*m.x23 + 1.45074874202458*m.x24
+ 1.93629528075622*m.x25 - m.x26 <= 0)
m.c31 = Constraint(expr= 1.93185165257814*m.x1 + 1.93185165257814*m.x2 + 1.41421356237309*m.x3 + 0.51763809020504*m.x4
- 0.517638090205045*m.x5 - 1.4142135623731*m.x6 - 1.93185165257814*m.x7 - 1.93185165257814*m.x8
- 1.41421356237309*m.x9 - 0.51763809020504*m.x10 + 0.517638090205043*m.x11
+ 1.4142135623731*m.x12 + 1.93185165257814*m.x13 + 1.93185165257814*m.x14
+ 1.41421356237309*m.x15 + 0.517638090205041*m.x16 - 0.517638090205043*m.x17
- 1.4142135623731*m.x18 - 1.93185165257814*m.x19 - 1.93185165257814*m.x20
- 1.41421356237309*m.x21 - 0.517638090205041*m.x22 + 0.517638090205042*m.x23
+ 1.4142135623731*m.x24 + 1.93185165257814*m.x25 - m.x26 <= 0)
m.c32 = Constraint(expr= 1.54324916677544*m.x1 + 1.97803172672383*m.x2 + 1.84775906502257*m.x3 + 1.18964557350268*m.x4
+ 0.191691505040446*m.x5 - 0.861022193616592*m.x6 - 1.66777164413434*m.x7
- 1.99809644316372*m.x8 - 1.75763422532393*m.x9 - 1.01507672592141*m.x10
+ 0.0174530709967492*m.x11 + 1.0449971294319*m.x12 + 1.77402166635644*m.x13
+ 1.99626959684373*m.x14 + 1.64825237724403*m.x15 + 0.829386485312478*m.x16
- 0.226406427535814*m.x17 - 1.21752285801744*m.x18 - 1.86083513596405*m.x19
- 1.97257120307446*m.x20 - 1.52081193120006*m.x21 - 0.634609312810184*m.x22
+ 0.432879227876206*m.x23 + 1.37670915138751*m.x24 + 1.92726090641725*m.x25 - m.x26 <= 0)
m.c33 = Constraint(expr= 0.876742293578156*m.x1 + 1.69609619231285*m.x2 + 2*m.x3 + 1.69609619231285*m.x4
+ 0.876742293578154*m.x5 - 0.209056926535309*m.x6 - 1.23132295065132*m.x7
- 1.87938524157182*m.x8 - 1.95629520146761*m.x9 - 1.4386796006773*m.x10
- 0.483843791199336*m.x11 + 0.618033988749895*m.x12 + 1.53208888623796*m.x13
+ 1.98053613748314*m.x14 + 1.8270909152852*m.x15 + 1.11838580694149*m.x16
+ 0.0697989934050026*m.x17 - m.x18 - 1.76589518571785*m.x19 - 1.99512810051965*m.x20
- 1.61803398874989*m.x21 - 0.749213186831824*m.x22 + 0.347296355333861*m.x23
+ 1.33826121271772*m.x24 + 1.92252339187664*m.x25 - m.x26 <= 0)
m.c34 = Constraint(expr= 0.0523538966157441*m.x1 + 1.13281247384967*m.x2 + 1.84775906502257*m.x3
+ 1.96650981512791*m.x4 + 1.45074874202458*m.x5 + 0.466890727711813*m.x6
- 0.667613718467543*m.x7 - 1.58670668058247*m.x8 - 1.99383466746626*m.x9
- 1.75763422532393*m.x10 - 0.954317520519218*m.x11 + 0.15691819145569*m.x12
+ 1.21752285801744*m.x13 + 1.88528298218436*m.x14 + 1.94473984079535*m.x15
+ 1.37670915138751*m.x16 + 0.364471050984295*m.x17 - 0.765366864730179*m.x18
- 1.64825237724403*m.x19 - 1.99931464995111*m.x20 - 1.70528032870818*m.x21
- 0.861022193616591*m.x22 + 0.261052384440103*m.x23 + 1.29889609666037*m.x24
+ 1.91763946973639*m.x25 - m.x26 <= 0)
m.c35 = Constraint(expr= - 0.78146225697855*m.x1 + 0.381617990753088*m.x2 + 1.41421356237309*m.x3
+ 1.96325436689533*m.x4 + 1.84100970690488*m.x5 + 1.08927807003006*m.x6
- 0.0349048128745657*m.x7 - 1.14715287270209*m.x8 - 1.8671608529944*m.x9
- 1.94874012957047*m.x10 - 1.363996720125*m.x11 - 0.312868930080463*m.x12
+ 0.845236523481399*m.x13 + 1.71433460140422*m.x14 + 1.99725906950915*m.x15
+ 1.59727102009459*m.x16 + 0.651136308914314*m.x17 - 0.517638090205041*m.x18
- 1.50941916044554*m.x19 - 1.98509230328264*m.x20 - 1.78201304837674*m.x21
- 0.969619240492674*m.x22 + 0.174311485495316*m.x23 + 1.25864078209967*m.x24
+ 1.91260951192607*m.x25 - m.x26 <= 0)
m.c36 = Constraint(expr= - 1.47455467362025*m.x1 - 0.432879227876202*m.x2 + 0.765366864730181*m.x3
+ 1.68678289162577*m.x4 + 1.99809644316372*m.x5 + 1.58670668058247*m.x6
+ 0.601411599008543*m.x7 - 0.601411599008548*m.x8 - 1.58670668058247*m.x9
- 1.99809644316372*m.x10 - 1.68678289162577*m.x11 - 0.76536686473018*m.x12
+ 0.432879227876208*m.x13 + 1.47455467362025*m.x14 + 1.98288972274762*m.x15
+ 1.77402166635644*m.x16 + 0.923497226470066*m.x17 - 0.261052384440103*m.x18
- 1.35118041523132*m.x19 - 1.95259201423987*m.x20 - 1.84775906502257*m.x21
- 1.07459921669365*m.x22 + 0.087238774730672*m.x23 + 1.21752285801744*m.x24
+ 1.90743390149645*m.x25 - m.x26 <= 0)
m.c37 = Constraint(expr= - 1.90211303259031*m.x1 - 1.17557050458495*m.x2 + 1.10218211923262E-15*m.x3
+ 1.17557050458495*m.x4 + 1.90211303259031*m.x5 + 1.90211303259031*m.x6 + 1.17557050458495*m.x7
- 8.57252759403147E-16*m.x8 - 1.17557050458495*m.x9 - 1.90211303259031*m.x10
- 1.90211303259031*m.x11 - 1.17557050458495*m.x12 + 6.12323399573677E-16*m.x13
+ 1.17557050458495*m.x14 + 1.90211303259031*m.x15 + 1.90211303259031*m.x16
+ 1.17557050458495*m.x17 - 3.67394039744206E-16*m.x18 - 1.17557050458495*m.x19
- 1.90211303259031*m.x20 - 1.90211303259031*m.x21 - 1.17557050458495*m.x22
+ 1.22464679914735E-16*m.x23 + 1.17557050458495*m.x24 + 1.90211303259031*m.x25 - m.x26 <= 0)
m.c38 = Constraint(expr= - 1.98714371135318*m.x1 - 1.72325832088305*m.x2 - 0.765366864730179*m.x3
+ 0.500760008108884*m.x4 + 1.56521631370483*m.x5 + 1.99931464995111*m.x6
+ 1.62823103671264*m.x7 + 0.601411599008546*m.x8 - 0.667613718467543*m.x9
- 1.66777164413434*m.x10 - 1.99626959684373*m.x11 - 1.52081193120006*m.x12
- 0.432879227876206*m.x13 + 0.829386485312479*m.x14 + 1.75763422532393*m.x15
+ 1.97803172672383*m.x16 + 1.4018185285997*m.x17 + 0.261052384440103*m.x18
- 0.984847120206934*m.x19 - 1.83412014877025*m.x20 - 1.94473984079535*m.x21
- 1.27215644055553*m.x22 - 0.0872387747306718*m.x23 + 1.13281247384967*m.x24
+ 1.8966473104124*m.x25 - m.x26 <= 0)
m.c39 = Constraint(expr= - 1.71433460140422*m.x1 - 1.98509230328264*m.x2 - 1.4142135623731*m.x3 - 0.243738686810296*m.x4
+ 1.03007614982011*m.x5 + 1.8671608529944*m.x6 + 1.91260951192607*m.x7 + 1.14715287270209*m.x8
- 0.104671912485886*m.x9 - 1.31211805798101*m.x10 - 1.96325436689533*m.x11
- 1.78201304837674*m.x12 - 0.845236523481401*m.x13 + 0.449902108687729*m.x14
+ 1.55429192291394*m.x15 + 1.99969539031278*m.x16 + 1.59727102009459*m.x17
+ 0.517638090205042*m.x18 - 0.781462256978548*m.x19 - 1.74923941427879*m.x20
- 1.97537668119028*m.x21 - 1.363996720125*m.x22 - 0.174311485495316*m.x23
+ 1.08927807003005*m.x24 + 1.89103715119863*m.x25 - m.x26 <= 0)
m.c40 = Constraint(expr= - 1.13281247384967*m.x1 - 1.91763946973639*m.x2 - 1.84775906502257*m.x3
- 0.954317520519214*m.x4 + 0.364471050984298*m.x5 + 1.52081193120006*m.x6
+ 1.99931464995111*m.x7 + 1.58670668058247*m.x8 + 0.466890727711809*m.x9
- 0.861022193616592*m.x10 - 1.80517056869972*m.x11 - 1.94473984079535*m.x12
- 1.21752285801744*m.x13 + 0.0523538966157472*m.x14 + 1.29889609666037*m.x15
+ 1.96650981512791*m.x16 + 1.75763422532393*m.x17 + 0.765366864730178*m.x18
- 0.568030689407845*m.x19 - 1.64825237724403*m.x20 - 1.99383466746626*m.x21
- 1.45074874202457*m.x22 - 0.261052384440103*m.x23 + 1.0449971294319*m.x24
+ 1.88528298218436*m.x25 - m.x26 <= 0)
m.c41 = Constraint(expr= - 0.347296355333865*m.x1 - 1.53208888623796*m.x2 - 2*m.x3 - 1.53208888623795*m.x4
- 0.347296355333859*m.x5 + m.x6 + 1.87938524157182*m.x7 + 1.87938524157182*m.x8
+ 0.999999999999998*m.x9 - 0.347296355333861*m.x10 - 1.53208888623796*m.x11 - 2*m.x12
- 1.53208888623795*m.x13 - 0.34729635533386*m.x14 + m.x15 + 1.87938524157182*m.x16
+ 1.87938524157182*m.x17 + m.x18 - 0.347296355333861*m.x19 - 1.53208888623796*m.x20 - 2*m.x21
- 1.53208888623796*m.x22 - 0.347296355333861*m.x23 + m.x24 + 1.87938524157182*m.x25 - m.x26
<= 0)
m.c42 = Constraint(expr= 0.500760008108885*m.x1 - 0.892395626219618*m.x2 - 1.84775906502258*m.x3
- 1.8966473104124*m.x4 - 1.01507672592141*m.x5 + 0.364471050984295*m.x6 + 1.56521631370483*m.x7
+ 1.99809644316372*m.x8 + 1.45074874202458*m.x9 + 0.191691505040446*m.x10
- 1.16140591142188*m.x11 - 1.94473984079535*m.x12 - 1.77402166635644*m.x13
- 0.733002453448593*m.x14 + 0.667613718467543*m.x15 + 1.7407113918798*m.x16
+ 1.95984940924166*m.x17 + 1.21752285801744*m.x18 - 0.122097079069714*m.x19
- 1.4018185285997*m.x20 - 1.99383466746626*m.x21 - 1.60771372123443*m.x22
- 0.432879227876206*m.x23 + 0.954317520519217*m.x24 + 1.8733443784968*m.x25 - m.x26 <= 0)
m.c43 = Constraint(expr= 1.25864078209968*m.x1 - 0.104671912485886*m.x2 - 1.41421356237309*m.x3
- 1.99725906950915*m.x4 - 1.55429192291394*m.x5 - 0.312868930080462*m.x6
+ 1.08927807003005*m.x7 + 1.93185165257814*m.x8 + 1.78201304837674*m.x9 + 0.7167358990906*m.x10
- 0.716735899090602*m.x11 - 1.78201304837674*m.x12 - 1.93185165257814*m.x13
- 1.08927807003005*m.x14 + 0.312868930080462*m.x15 + 1.55429192291394*m.x16
+ 1.99725906950915*m.x17 + 1.41421356237309*m.x18 + 0.104671912485888*m.x19
- 1.25864078209967*m.x20 - 1.97537668119028*m.x21 - 1.67734113589085*m.x22
- 0.517638090205042*m.x23 + 0.907980999479094*m.x24 + 1.8671608529944*m.x25 - m.x26 <= 0)
m.c44 = Constraint(expr= 1.78986872320405*m.x1 + 0.700414762518939*m.x2 - 0.765366864730175*m.x3
- 1.81992254175309*m.x4 - 1.8966473104124*m.x5 - 0.954317520519218*m.x6
+ 0.500760008108881*m.x7 + 1.68678289162577*m.x8 + 1.96650981512791*m.x9
+ 1.18964557350268*m.x10 - 0.226406427535811*m.x11 - 1.52081193120006*m.x12
- 1.99809644316372*m.x13 - 1.4018185285997*m.x14 - 0.0523538966157478*m.x15
+ 1.32524009643147*m.x16 + 1.99079239673436*m.x17 + 1.58670668058247*m.x18
+ 0.330095211721356*m.x19 - 1.10387397062412*m.x20 - 1.94473984079535*m.x21
- 1.7407113918798*m.x22 - 0.601411599008546*m.x23 + 0.86102219361659*m.x24
+ 1.86083513596405*m.x25 - m.x26 <= 0)
m.c45 = Constraint(expr= 1.99878165403819*m.x1 + 1.38931674091799*m.x2 - 4.89982515786259E-15*m.x3
- 1.389316740918*m.x4 - 1.99878165403819*m.x5 - 1.48628965095479*m.x6 - 0.139512947488248*m.x7
+ 1.28557521937308*m.x8 + 1.98904379073655*m.x9 + 1.57602150721344*m.x10
+ 0.27834620192013*m.x11 - 1.17557050458495*m.x12 - 1.96961550602442*m.x13
- 1.65807514511008*m.x14 - 0.415823381635517*m.x15 + 1.05983852846641*m.x16
+ 1.94059145255199*m.x17 + 1.73205080756888*m.x18 + 0.551274711633997*m.x19
- 0.938943125571782*m.x20 - 1.90211303259031*m.x21 - 1.79758809259833*m.x22
- 0.684040286651337*m.x23 + 0.813473286151601*m.x24 + 1.85436770913357*m.x25 - m.x26 <= 0)
m.c46 = Constraint(expr= 1.84775906502258*m.x1 + 1.84775906502257*m.x2 + 0.765366864730179*m.x3
- 0.765366864730182*m.x4 - 1.84775906502258*m.x5 - 1.84775906502257*m.x6
- 0.765366864730179*m.x7 + 0.765366864730181*m.x8 + 1.84775906502257*m.x9
+ 1.84775906502257*m.x10 + 0.76536686473018*m.x11 - 0.765366864730181*m.x12
- 1.84775906502257*m.x13 - 1.84775906502257*m.x14 - 0.76536686473018*m.x15
+ 0.765366864730181*m.x16 + 1.84775906502257*m.x17 + 1.84775906502257*m.x18
+ 0.76536686473018*m.x19 - 0.765366864730181*m.x20 - 1.84775906502257*m.x21
- 1.84775906502257*m.x22 - 0.765366864730179*m.x23 + 0.76536686473018*m.x24
+ 1.84775906502257*m.x25 - m.x26 <= 0)
m.c47 = Constraint(expr= 1.36399672012499*m.x1 + 1.99969539031278*m.x2 + 1.41421356237309*m.x3
- 0.0349048128745698*m.x4 - 1.46270740323834*m.x5 - 1.99725906950915*m.x6
- 1.31211805798101*m.x7 + 0.174311485495317*m.x8 + 1.55429192291394*m.x9
+ 1.98509230328264*m.x10 + 1.2036300463041*m.x11 - 0.312868930080461*m.x12
- 1.63830408857798*m.x13 - 1.96325436689533*m.x14 - 1.08927807003005*m.x15
+ 0.449902108687731*m.x16 + 1.71433460140422*m.x17 + 1.93185165257814*m.x18
+ 0.969619240492675*m.x19 - 0.584743409445474*m.x20 - 1.78201304837674*m.x21
- 1.89103715119863*m.x22 - 0.845236523481399*m.x23 + 0.7167358990906*m.x24
+ 1.84100970690488*m.x25 - m.x26 <= 0)
m.c48 = Constraint(expr= 0.634609312810181*m.x1 + 1.81992254175309*m.x2 + 1.84775906502257*m.x3
+ 0.700414762518939*m.x4 - 0.892395626219618*m.x5 - 1.91763946973639*m.x6
- 1.72325832088305*m.x7 - 0.432879227876206*m.x8 + 1.13281247384967*m.x9
+ 1.97803172672383*m.x10 + 1.56521631370483*m.x11 + 0.15691819145569*m.x12
- 1.35118041523132*m.x13 - 1.99992384612834*m.x14 - 1.37670915138751*m.x15
+ 0.122097079069714*m.x16 + 1.54324916677544*m.x17 + 1.98288972274762*m.x18
+ 1.16140591142188*m.x19 - 0.398735868834395*m.x20 - 1.70528032870818*m.x21
- 1.92726090641725*m.x22 - 0.923497226470068*m.x23 + 0.667613718467542*m.x24
+ 1.83412014877025*m.x25 - m.x26 <= 0)
m.c49 = Constraint(expr= - 0.20905692653531*m.x1 + 1.33826121271772*m.x2 + 2*m.x3 + 1.33826121271772*m.x4
- 0.209056926535306*m.x5 - 1.6180339887499*m.x6 - 1.95629520146761*m.x7 - m.x8
+ 0.618033988749892*m.x9 + 1.8270909152852*m.x10 + 1.8270909152852*m.x11
+ 0.618033988749897*m.x12 - m.x13 - 1.95629520146761*m.x14 - 1.61803398874989*m.x15
- 0.209056926535307*m.x16 + 1.33826121271772*m.x17 + 2*m.x18 + 1.33826121271772*m.x19
- 0.209056926535307*m.x20 - 1.61803398874989*m.x21 - 1.95629520146761*m.x22 - m.x23
+ 0.618033988749895*m.x24 + 1.8270909152852*m.x25 - m.x26 <= 0)
m.c50 = Constraint(expr= - 1.0150767259214*m.x1 + 0.634609312810188*m.x2 + 1.84775906502258*m.x3 + 1.78986872320405*m.x4
+ 0.500760008108879*m.x5 - 1.13281247384967*m.x6 - 1.98714371135318*m.x7
- 1.47455467362025*m.x8 + 0.0523538966157477*m.x9 + 1.54324916677544*m.x10
+ 1.97257120307446*m.x11 + 1.0449971294319*m.x12 - 0.601411599008548*m.x13
- 1.83412014877025*m.x14 - 1.80517056869972*m.x15 - 0.534476752156511*m.x16
+ 1.10387397062412*m.x17 + 1.98288972274762*m.x18 + 1.497911441578*m.x19
- 0.0174530709967489*m.x20 - 1.52081193120006*m.x21 - 1.97803172672383*m.x22
- 1.07459921669365*m.x23 + 0.568030689407846*m.x24 + 1.81992254175309*m.x25 - m.x26 <= 0)
m.c51 = Constraint(expr= - 1.63830408857798*m.x1 - 0.174311485495315*m.x2 + 1.41421356237309*m.x3
+ 1.99238939618349*m.x4 + 1.14715287270209*m.x5 - 0.517638090205042*m.x6 - 1.8126155740733*m.x7
- 1.8126155740733*m.x8 - 0.51763809020504*m.x9 + 1.14715287270209*m.x10
+ 1.99238939618349*m.x11 + 1.4142135623731*m.x12 - 0.174311485495317*m.x13
- 1.63830408857798*m.x14 - 1.93185165257814*m.x15 - 0.845236523481397*m.x16
+ 0.845236523481399*m.x17 + 1.93185165257814*m.x18 + 1.63830408857798*m.x19
+ 0.174311485495316*m.x20 - 1.4142135623731*m.x21 - 1.99238939618349*m.x22
- 1.14715287270209*m.x23 + 0.517638090205041*m.x24 + 1.8126155740733*m.x25 - m.x26 <= 0)
m.c52 = Constraint(expr= - 1.96650981512791*m.x1 - 0.954317520519217*m.x2 + 0.765366864730182*m.x3
+ 1.91763946973639*m.x4 + 1.64825237724403*m.x5 + 0.156918191455693*m.x6
- 1.45074874202458*m.x7 - 1.98288972274762*m.x8 - 1.0449971294319*m.x9
+ 0.667613718467543*m.x10 + 1.88528298218436*m.x11 + 1.70528032870818*m.x12
+ 0.261052384440104*m.x13 - 1.37670915138751*m.x14 - 1.99383466746626*m.x15
- 1.13281247384966*m.x16 + 0.568030689407846*m.x17 + 1.84775906502257*m.x18
+ 1.75763422532393*m.x19 + 0.364471050984295*m.x20 - 1.29889609666037*m.x21
- 1.99931464995111*m.x22 - 1.21752285801744*m.x23 + 0.466890727711811*m.x24
+ 1.80517056869972*m.x25 - m.x26 <= 0)
m.c53 = Constraint(expr= - 1.94059145255199*m.x1 - 1.57602150721345*m.x2 - 1.96067283990894E-15*m.x3
+ 1.57602150721344*m.x4 + 1.94059145255199*m.x5 + 0.8134732861516*m.x6 - 0.938943125571782*m.x7
- 1.96961550602442*m.x8 - 1.48628965095479*m.x9 + 0.13951294748825*m.x10
+ 1.65807514511008*m.x11 + 1.90211303259031*m.x12 + 0.684040286651339*m.x13
- 1.05983852846641*m.x14 - 1.98904379073655*m.x15 - 1.38931674091799*m.x16
+ 0.27834620192013*m.x17 + 1.73205080756888*m.x18 + 1.85436770913358*m.x19
+ 0.551274711633999*m.x20 - 1.17557050458495*m.x21 - 1.99878165403819*m.x22
- 1.28557521937308*m.x23 + 0.415823381635518*m.x24 + 1.79758809259833*m.x25 - m.x26 <= 0)
m.c54 = Constraint(expr= - 1.56521631370483*m.x1 - 1.93629528075622*m.x2 - 0.765366864730179*m.x3
+ 1.01507672592141*m.x4 + 1.98714371135318*m.x5 + 1.37670915138751*m.x6
- 0.330095211721357*m.x7 - 1.77402166635644*m.x8 - 1.80517056869972*m.x9
- 0.398735868834393*m.x10 + 1.32524009643148*m.x11 + 1.99383466746626*m.x12
+ 1.07459921669365*m.x13 - 0.700414762518937*m.x14 - 1.91763946973639*m.x15
- 1.60771372123443*m.x16 - 0.0174530709967462*m.x17 + 1.58670668058247*m.x18
+ 1.92726090641725*m.x19 + 0.733002453448594*m.x20 - 1.0449971294319*m.x21
- 1.99079239673436*m.x22 - 1.35118041523132*m.x23 + 0.364471050984295*m.x24
+ 1.78986872320405*m.x25 - m.x26 <= 0)
m.c55 = Constraint(expr= - 0.907980999479097*m.x1 - 1.97537668119028*m.x2 - 1.41421356237309*m.x3
+ 0.312868930080462*m.x4 + 1.78201304837674*m.x5 + 1.78201304837674*m.x6
+ 0.312868930080459*m.x7 - 1.41421356237309*m.x8 - 1.97537668119027*m.x9
- 0.907980999479094*m.x10 + 0.907980999479096*m.x11 + 1.97537668119028*m.x12
+ 1.41421356237309*m.x13 - 0.312868930080461*m.x14 - 1.78201304837674*m.x15
- 1.78201304837674*m.x16 - 0.312868930080459*m.x17 + 1.4142135623731*m.x18
+ 1.97537668119028*m.x19 + 0.907980999479093*m.x20 - 0.907980999479094*m.x21
- 1.97537668119028*m.x22 - 1.41421356237309*m.x23 + 0.312868930080462*m.x24
+ 1.78201304837674*m.x25 - m.x26 <= 0)
m.c56 = Constraint(expr= - 0.0872387747306755*m.x1 - 1.68678289162577*m.x2 - 1.84775906502257*m.x3
- 0.432879227876205*m.x4 + 1.35118041523132*m.x5 + 1.98288972274762*m.x6
+ 0.92349722647007*m.x7 - 0.923497226470066*m.x8 - 1.98288972274762*m.x9
- 1.35118041523132*m.x10 + 0.432879227876205*m.x11 + 1.84775906502257*m.x12
+ 1.68678289162577*m.x13 + 0.0872387747306728*m.x14 - 1.58670668058247*m.x15
- 1.90743390149645*m.x16 - 0.601411599008547*m.x17 + 1.21752285801744*m.x18
+ 1.99809644316372*m.x19 + 1.07459921669365*m.x20 - 0.765366864730179*m.x21
- 1.95259201423987*m.x22 - 1.47455467362025*m.x23 + 0.261052384440103*m.x24
+ 1.77402166635644*m.x25 - m.x26 <= 0)
m.c57 = Constraint(expr= 0.749213186831827*m.x1 - 1.1183858069415*m.x2 - 2*m.x3 - 1.11838580694149*m.x4
+ 0.749213186831824*m.x5 + 1.95629520146761*m.x6 + 1.4386796006773*m.x7
- 0.347296355333858*m.x8 - 1.8270909152852*m.x9 - 1.69609619231285*m.x10
- 0.0697989934050036*m.x11 + 1.6180339887499*m.x12 + 1.87938524157182*m.x13
+ 0.483843791199336*m.x14 - 1.33826121271772*m.x15 - 1.98053613748314*m.x16
- 0.876742293578155*m.x17 + m.x18 + 1.99512810051965*m.x19 + 1.23132295065132*m.x20
- 0.618033988749895*m.x21 - 1.92252339187664*m.x22 - 1.53208888623796*m.x23
+ 0.209056926535307*m.x24 + 1.76589518571785*m.x25 - m.x26 <= 0)
m.c58 = Constraint(expr= 1.45074874202458*m.x1 - 0.364471050984295*m.x2 - 1.84775906502257*m.x3
- 1.64825237724403*m.x4 + 0.0523538966157446*m.x5 + 1.70528032870818*m.x6
+ 1.80517056869972*m.x7 + 0.261052384440107*m.x8 - 1.52081193120006*m.x9
- 1.91763946973639*m.x10 - 0.568030689407847*m.x11 + 1.29889609666037*m.x12
+ 1.98288972274762*m.x13 + 0.861022193616591*m.x14 - 1.0449971294319*m.x15
- 1.99931464995111*m.x16 - 1.13281247384966*m.x17 + 0.765366864730179*m.x18
+ 1.96650981512791*m.x19 + 1.37670915138751*m.x20 - 0.46689072771181*m.x21
- 1.88528298218436*m.x22 - 1.58670668058247*m.x23 + 0.15691819145569*m.x24
+ 1.75763422532393*m.x25 - m.x26 <= 0)
m.c59 = Constraint(expr= 1.89103715119863*m.x1 + 0.449902108687732*m.x2 - 1.4142135623731*m.x3 - 1.94874012957047*m.x4
- 0.651136308914317*m.x5 + 1.25864078209967*m.x6 + 1.98509230328264*m.x7
+ 0.845236523481403*m.x8 - 1.08927807003005*m.x9 - 1.99969539031278*m.x10
- 1.03007614982011*m.x11 + 0.907980999479093*m.x12 + 1.99238939618349*m.x13
+ 1.2036300463041*m.x14 - 0.716735899090599*m.x15 - 1.96325436689533*m.x16
- 1.363996720125*m.x17 + 0.517638090205041*m.x18 + 1.91260951192607*m.x19
+ 1.50941916044554*m.x20 - 0.31286893008046*m.x21 - 1.84100970690488*m.x22
- 1.63830408857798*m.x23 + 0.104671912485887*m.x24 + 1.74923941427879*m.x25 - m.x26 <= 0)
m.c60 = Constraint(expr= 1.99079239673436*m.x1 + 1.18964557350269*m.x2 - 0.765366864730175*m.x3
- 1.97803172672383*m.x4 - 1.27215644055553*m.x5 + 0.667613718467537*m.x6
+ 1.95984940924166*m.x7 + 1.35118041523132*m.x8 - 0.568030689407839*m.x9
- 1.93629528075621*m.x10 - 1.42650089830837*m.x11 + 0.466890727711808*m.x12
+ 1.90743390149645*m.x13 + 1.497911441578*m.x14 - 0.364471050984294*m.x15
- 1.87334437849679*m.x16 - 1.56521631370483*m.x17 + 0.261052384440102*m.x18
+ 1.83412014877025*m.x19 + 1.62823103671264*m.x20 - 0.156918191455689*m.x21
- 1.78986872320405*m.x22 - 1.68678289162577*m.x23 + 0.0523538966157458*m.x24
+ 1.7407113918798*m.x25 - m.x26 <= 0)
m.c61 = Constraint(expr= 1.73205080756888*m.x1 + 1.73205080756887*m.x2 - 5.38968387752153E-15*m.x3
- 1.73205080756888*m.x4 - 1.73205080756887*m.x5 + 5.14475451769206E-15*m.x6
+ 1.73205080756888*m.x7 + 1.73205080756887*m.x8 - 4.89982515786259E-15*m.x9
- 1.73205080756888*m.x10 - 1.73205080756888*m.x11 + 4.65489579803312E-15*m.x12
+ 1.73205080756888*m.x13 + 1.73205080756888*m.x14 - 8.57252759403147E-16*m.x15
- 1.73205080756888*m.x16 - 1.73205080756888*m.x17 + 2.38868023897393E-15*m.x18
+ 1.73205080756888*m.x19 + 1.73205080756888*m.x20 - 3.67394039744206E-16*m.x21
- 1.73205080756888*m.x22 - 1.73205080756888*m.x23 + 1.22464679914735E-16*m.x24
+ 1.73205080756888*m.x25 - m.x26 <= 0)
m.c62 = Constraint(expr= 1.16140591142188*m.x1 + 1.98714371135317*m.x2 + 0.765366864730179*m.x3
- 1.24502927327524*m.x4 - 1.97257120307446*m.x5 - 0.667613718467541*m.x6
+ 1.32524009643148*m.x7 + 1.95259201423987*m.x8 + 0.568030689407844*m.x9
- 1.4018185285997*m.x10 - 1.92726090641725*m.x11 - 0.466890727711809*m.x12
+ 1.47455467362025*m.x13 + 1.8966473104124*m.x14 + 0.364471050984293*m.x15
- 1.54324916677544*m.x16 - 1.86083513596405*m.x17 - 0.261052384440102*m.x18
+ 1.60771372123444*m.x19 + 1.81992254175309*m.x20 + 0.156918191455689*m.x21
- 1.66777164413434*m.x22 - 1.77402166635644*m.x23 - 0.052353896615746*m.x24
+ 1.72325832088305*m.x25 - m.x26 <= 0)
m.c63 = Constraint(expr= 0.381617990753093*m.x1 + 1.91260951192607*m.x2 + 1.41421356237309*m.x3
- 0.584743409445477*m.x4 - 1.96325436689533*m.x5 - 1.25864078209967*m.x6
+ 0.781462256978552*m.x7 + 1.99238939618349*m.x8 + 1.08927807003005*m.x9
- 0.969619240492673*m.x10 - 1.99969539031278*m.x11 - 0.907980999479091*m.x12
+ 1.14715287270209*m.x13 + 1.98509230328264*m.x14 + 0.7167358990906*m.x15
- 1.31211805798101*m.x16 - 1.94874012957047*m.x17 - 0.51763809020504*m.x18
+ 1.46270740323834*m.x19 + 1.89103715119863*m.x20 + 0.312868930080461*m.x21
- 1.59727102009459*m.x22 - 1.8126155740733*m.x23 - 0.104671912485887*m.x24
+ 1.71433460140422*m.x25 - m.x26 <= 0)
m.c64 = Constraint(expr= - 0.466890727711808*m.x1 + 1.52081193120006*m.x2 + 1.84775906502257*m.x3
+ 0.156918191455685*m.x4 - 1.70528032870819*m.x5 - 1.70528032870818*m.x6
+ 0.156918191455689*m.x7 + 1.84775906502258*m.x8 + 1.52081193120006*m.x9
- 0.466890727711811*m.x10 - 1.94473984079535*m.x11 - 1.29889609666037*m.x12
+ 0.765366864730181*m.x13 + 1.99383466746626*m.x14 + 1.0449971294319*m.x15
- 1.0449971294319*m.x16 - 1.99383466746626*m.x17 - 0.76536686473018*m.x18
+ 1.29889609666037*m.x19 + 1.94473984079535*m.x20 + 0.46689072771181*m.x21
- 1.52081193120006*m.x22 - 1.84775906502257*m.x23 - 0.15691819145569*m.x24
+ 1.70528032870818*m.x25 - m.x26 <= 0)
m.c65 = Constraint(expr= - 1.23132295065131*m.x1 + 0.876742293578154*m.x2 + 2*m.x3 + 0.876742293578157*m.x4
- 1.23132295065132*m.x5 - 1.95629520146761*m.x6 - 0.483843791199335*m.x7
+ 1.53208888623796*m.x8 + 1.8270909152852*m.x9 + 0.0697989934049998*m.x10
- 1.76589518571785*m.x11 - 1.61803398874989*m.x12 + 0.347296355333861*m.x13
+ 1.92252339187664*m.x14 + 1.33826121271772*m.x15 - 0.749213186831823*m.x16
- 1.99512810051965*m.x17 - 0.999999999999998*m.x18 + 1.11838580694149*m.x19
+ 1.98053613748314*m.x20 + 0.618033988749894*m.x21 - 1.4386796006773*m.x22
- 1.87938524157182*m.x23 - 0.209056926535307*m.x24 + 1.69609619231285*m.x25 - m.x26 <= 0)
m.c66 = Constraint(expr= - 1.77402166635644*m.x1 + 0.0872387747306687*m.x2 + 1.84775906502257*m.x3
+ 1.47455467362025*m.x4 - 0.601411599008546*m.x5 - 1.98288972274762*m.x6
- 1.07459921669365*m.x7 + 1.07459921669365*m.x8 + 1.98288972274762*m.x9
+ 0.601411599008549*m.x10 - 1.47455467362025*m.x11 - 1.84775906502257*m.x12
- 0.0872387747306726*m.x13 + 1.77402166635644*m.x14 + 1.58670668058247*m.x15
- 0.432879227876204*m.x16 - 1.95259201423987*m.x17 - 1.21752285801744*m.x18
+ 0.923497226470067*m.x19 + 1.99809644316372*m.x20 + 0.76536686473018*m.x21
- 1.35118041523132*m.x22 - 1.90743390149645*m.x23 - 0.261052384440103*m.x24
+ 1.68678289162577*m.x25 - m.x26 <= 0)
m.c67 = Constraint(expr= - 1.99725906950915*m.x1 - 0.716735899090599*m.x2 + 1.4142135623731*m.x3 + 1.8671608529944*m.x4
+ 0.10467191248589*m.x5 - 1.78201304837673*m.x6 - 1.55429192291394*m.x7
+ 0.517638090205042*m.x8 + 1.97537668119028*m.x9 + 1.08927807003006*m.x10
- 1.08927807003005*m.x11 - 1.97537668119028*m.x12 - 0.517638090205043*m.x13
+ 1.55429192291394*m.x14 + 1.78201304837674*m.x15 - 0.104671912485886*m.x16
- 1.8671608529944*m.x17 - 1.4142135623731*m.x18 + 0.7167358990906*m.x19
+ 1.99725906950915*m.x20 + 0.907980999479093*m.x21 - 1.25864078209967*m.x22
- 1.93185165257814*m.x23 - 0.312868930080462*m.x24 + 1.67734113589085*m.x25 - m.x26 <= 0)
m.c68 = Constraint(expr= - 1.86083513596405*m.x1 - 1.4018185285997*m.x2 + 0.765366864730176*m.x3 + 1.99992384612834*m.x4
+ 0.797498137850496*m.x5 - 1.37670915138751*m.x6 - 1.8733443784968*m.x7
- 0.0872387747306721*m.x8 + 1.80517056869972*m.x9 + 1.497911441578*m.x10
- 0.634609312810181*m.x11 - 1.99383466746626*m.x12 - 0.923497226470071*m.x13
+ 1.27215644055553*m.x14 + 1.91763946973639*m.x15 + 0.226406427535813*m.x16
- 1.7407113918798*m.x17 - 1.58670668058247*m.x18 + 0.500760008108882*m.x19
+ 1.97803172672383*m.x20 + 1.0449971294319*m.x21 - 1.16140591142188*m.x22
- 1.95259201423987*m.x23 - 0.364471050984295*m.x24 + 1.66777164413434*m.x25 - m.x26 <= 0)
m.c69 = Constraint(expr= - 1.38931674091799*m.x1 - 1.85436770913358*m.x2 - 1.47081412025E-15*m.x3
+ 1.85436770913357*m.x4 + 1.389316740918*m.x5 - 0.813473286151597*m.x6 - 1.99878165403819*m.x7
- 0.684040286651339*m.x8 + 1.48628965095479*m.x9 + 1.79758809259834*m.x10
- 0.139512947488247*m.x11 - 1.90211303259031*m.x12 - 1.28557521937308*m.x13
+ 0.938943125571779*m.x14 + 1.98904379073655*m.x15 + 0.551274711633998*m.x16
- 1.57602150721344*m.x17 - 1.73205080756888*m.x18 + 0.27834620192013*m.x19
+ 1.94059145255199*m.x20 + 1.17557050458495*m.x21 - 1.05983852846641*m.x22
- 1.96961550602442*m.x23 - 0.415823381635519*m.x24 + 1.65807514511008*m.x25 - m.x26 <= 0)
m.c70 = Constraint(expr= - 0.667613718467544*m.x1 - 1.99931464995111*m.x2 - 0.765366864730172*m.x3
+ 1.45074874202458*m.x4 + 1.80517056869972*m.x5 - 0.156918191455696*m.x6
- 1.91763946973639*m.x7 - 1.21752285801744*m.x8 + 1.0449971294319*m.x9 + 1.96650981512791*m.x10
+ 0.364471050984292*m.x11 - 1.70528032870819*m.x12 - 1.58670668058247*m.x13
+ 0.568030689407849*m.x14 + 1.99383466746626*m.x15 + 0.861022193616588*m.x16
- 1.37670915138751*m.x17 - 1.84775906502257*m.x18 + 0.0523538966157472*m.x19
+ 1.88528298218436*m.x20 + 1.29889609666037*m.x21 - 0.954317520519217*m.x22
- 1.98288972274762*m.x23 - 0.466890727711811*m.x24 + 1.64825237724403*m.x25 - m.x26 <= 0)
m.c71 = Constraint(expr= 0.174311485495314*m.x1 - 1.8126155740733*m.x2 - 1.41421356237309*m.x3 + 0.8452365234814*m.x4
+ 1.99238939618349*m.x5 + 0.517638090205039*m.x6 - 1.63830408857799*m.x7
- 1.63830408857798*m.x8 + 0.517638090205042*m.x9 + 1.99238939618349*m.x10
+ 0.845236523481397*m.x11 - 1.41421356237309*m.x12 - 1.8126155740733*m.x13
+ 0.174311485495317*m.x14 + 1.93185165257814*m.x15 + 1.14715287270209*m.x16
- 1.14715287270209*m.x17 - 1.93185165257814*m.x18 - 0.174311485495316*m.x19
+ 1.8126155740733*m.x20 + 1.41421356237309*m.x21 - 0.8452365234814*m.x22
- 1.99238939618349*m.x23 - 0.517638090205041*m.x24 + 1.63830408857798*m.x25 - m.x26 <= 0)
m.c72 = Constraint(expr= 0.984847120206932*m.x1 - 1.32524009643148*m.x2 - 1.84775906502257*m.x3
+ 0.122097079069715*m.x4 + 1.92726090641725*m.x5 + 1.13281247384966*m.x6
- 1.18964557350268*m.x7 - 1.90743390149645*m.x8 - 0.0523538966157415*m.x9
+ 1.8733443784968*m.x10 + 1.27215644055553*m.x11 - 1.0449971294319*m.x12
- 1.95259201423987*m.x13 - 0.226406427535812*m.x14 + 1.80517056869972*m.x15
+ 1.4018185285997*m.x16 - 0.892395626219618*m.x17 - 1.98288972274762*m.x18
- 0.398735868834394*m.x19 + 1.72325832088305*m.x20 + 1.52081193120006*m.x21
- 0.733002453448594*m.x22 - 1.99809644316372*m.x23 - 0.568030689407845*m.x24
+ 1.62823103671264*m.x25 - m.x26 <= 0)
m.c73 = Constraint(expr= 1.61803398874989*m.x1 - 0.618033988749897*m.x2 - 2*m.x3 - 0.618033988749893*m.x4
+ 1.6180339887499*m.x5 + 1.61803398874989*m.x6 - 0.618033988749897*m.x7 - 2*m.x8
- 0.618033988749893*m.x9 + 1.6180339887499*m.x10 + 1.61803398874989*m.x11
- 0.618033988749896*m.x12 - 2*m.x13 - 0.618033988749894*m.x14 + 1.6180339887499*m.x15
+ 1.61803398874989*m.x16 - 0.618033988749896*m.x17 - 2*m.x18 - 0.618033988749894*m.x19
+ 1.6180339887499*m.x20 + 1.61803398874989*m.x21 - 0.618033988749895*m.x22 - 2*m.x23
- 0.618033988749895*m.x24 + 1.61803398874989*m.x25 - m.x26 <= 0)
m.c74 = Constraint(expr= 1.95984940924166*m.x1 + 0.191691505040448*m.x2 - 1.84775906502257*m.x3
- 1.27215644055553*m.x4 + 1.10387397062412*m.x5 + 1.91763946973639*m.x6
+ 0.0174530709967449*m.x7 - 1.90743390149645*m.x8 - 1.13281247384967*m.x9
+ 1.24502927327524*m.x10 + 1.86083513596405*m.x11 - 0.156918191455689*m.x12
- 1.95259201423987*m.x13 - 0.984847120206933*m.x14 + 1.37670915138751*m.x15
+ 1.78986872320405*m.x16 - 0.330095211721357*m.x17 - 1.98288972274762*m.x18
- 0.829386485312478*m.x19 + 1.497911441578*m.x20 + 1.70528032870818*m.x21
- 0.500760008108884*m.x22 - 1.99809644316372*m.x23 - 0.667613718467542*m.x24
+ 1.60771372123443*m.x25 - m.x26 <= 0)
m.c75 = Constraint(expr= 1.94874012957047*m.x1 + 0.969619240492676*m.x2 - 1.4142135623731*m.x3 - 1.74923941427879*m.x4
+ 0.449902108687729*m.x5 + 1.99725906950915*m.x6 + 0.651136308914316*m.x7
- 1.63830408857798*m.x8 - 1.55429192291394*m.x9 + 0.781462256978546*m.x10
+ 1.98509230328264*m.x11 + 0.312868930080459*m.x12 - 1.8126155740733*m.x13
- 1.31211805798101*m.x14 + 1.08927807003005*m.x15 + 1.91260951192607*m.x16
- 0.0349048128745657*m.x17 - 1.93185165257814*m.x18 - 1.03007614982011*m.x19
+ 1.363996720125*m.x20 + 1.78201304837674*m.x21 - 0.381617990753089*m.x22
- 1.99238939618349*m.x23 - 0.716735899090601*m.x24 + 1.59727102009459*m.x25 - m.x26 <= 0)
m.c76 = Constraint(expr= 1.58670668058247*m.x1 + 1.58670668058247*m.x2 - 0.765366864730176*m.x3
- 1.98288972274762*m.x4 - 0.261052384440106*m.x5 + 1.84775906502257*m.x6
+ 1.21752285801744*m.x7 - 1.21752285801744*m.x8 - 1.84775906502257*m.x9
+ 0.261052384440103*m.x10 + 1.98288972274762*m.x11 + 0.765366864730179*m.x12
- 1.58670668058247*m.x13 - 1.58670668058247*m.x14 + 0.765366864730178*m.x15
+ 1.98288972274762*m.x16 + 0.261052384440104*m.x17 - 1.84775906502257*m.x18
- 1.21752285801744*m.x19 + 1.21752285801744*m.x20 + 1.84775906502257*m.x21
- 0.261052384440103*m.x22 - 1.98288972274762*m.x23 - 0.765366864730179*m.x24
+ 1.58670668058247*m.x25 - m.x26 <= 0)
m.c77 = Constraint(expr= 0.938943125571777*m.x1 + 1.94059145255199*m.x2 + 1.22588476042053E-15*m.x3
- 1.94059145255199*m.x4 - 0.938943125571786*m.x5 + 1.48628965095479*m.x6
+ 1.65807514511008*m.x7 - 0.684040286651335*m.x8 - 1.98904379073655*m.x9
- 0.27834620192013*m.x10 + 1.85436770913357*m.x11 + 1.17557050458495*m.x12
- 1.28557521937308*m.x13 - 1.79758809259833*m.x14 + 0.415823381635519*m.x15
+ 1.99878165403819*m.x16 + 0.551274711633998*m.x17 - 1.73205080756888*m.x18
- 1.38931674091799*m.x19 + 1.05983852846641*m.x20 + 1.90211303259031*m.x21
- 0.139512947488249*m.x22 - 1.96961550602442*m.x23 - 0.813473286151601*m.x24
+ 1.57602150721344*m.x25 - m.x26 <= 0)
m.c78 = Constraint(expr= 0.122097079069716*m.x1 + 1.97257120307446*m.x2 + 0.765366864730185*m.x3
- 1.62823103671264*m.x4 - 1.49791144157801*m.x5 + 0.954317520519214*m.x6
+ 1.92726090641725*m.x7 - 0.0872387747306684*m.x8 - 1.96650981512791*m.x9
- 0.797498137850496*m.x10 + 1.60771372123443*m.x11 + 1.52081193120006*m.x12
- 0.923497226470066*m.x13 - 1.93629528075622*m.x14 + 0.0523538966157441*m.x15
+ 1.95984940924166*m.x16 + 0.829386485312481*m.x17 - 1.58670668058247*m.x18
- 1.54324916677544*m.x19 + 0.892395626219618*m.x20 + 1.94473984079535*m.x21
- 0.0174530709967472*m.x22 - 1.95259201423987*m.x23 - 0.861022193616591*m.x24
+ 1.56521631370483*m.x25 - m.x26 <= 0)
m.c79 = Constraint(expr= - 0.716735899090592*m.x1 + 1.67734113589085*m.x2 + 1.41421356237309*m.x3
- 1.08927807003006*m.x4 - 1.8671608529944*m.x5 + 0.312868930080469*m.x6 + 1.99725906950915*m.x7
+ 0.517638090205039*m.x8 - 1.78201304837674*m.x9 - 1.25864078209967*m.x10
+ 1.25864078209968*m.x11 + 1.78201304837673*m.x12 - 0.517638090205042*m.x13
- 1.99725906950915*m.x14 - 0.312868930080459*m.x15 + 1.8671608529944*m.x16
+ 1.08927807003005*m.x17 - 1.4142135623731*m.x18 - 1.67734113589085*m.x19
+ 0.716735899090602*m.x20 + 1.97537668119028*m.x21 + 0.104671912485886*m.x22
- 1.93185165257814*m.x23 - 0.907980999479093*m.x24 + 1.55429192291394*m.x25 - m.x26 <= 0)
m.c80 = Constraint(expr= - 1.42650089830836*m.x1 + 1.10387397062412*m.x2 + 1.84775906502257*m.x3 - 0.3987358688344*m.x4
- 1.99992384612834*m.x5 - 0.364471050984291*m.x6 + 1.86083513596405*m.x7
+ 1.07459921669365*m.x8 - 1.45074874202458*m.x9 - 1.62823103671263*m.x10
+ 0.829386485312483*m.x11 + 1.94473984079535*m.x12 - 0.087238774730675*m.x13
- 1.97803172672383*m.x14 - 0.667613718467541*m.x15 + 1.72325832088305*m.x16
+ 1.32524009643147*m.x17 - 1.21752285801744*m.x18 - 1.78986872320405*m.x19
+ 0.534476752156514*m.x20 + 1.99383466746626*m.x21 + 0.226406427535813*m.x22
- 1.90743390149645*m.x23 - 0.954317520519217*m.x24 + 1.54324916677544*m.x25 - m.x26 <= 0)
m.c81 = Constraint(expr= - 1.87938524157181*m.x1 + 0.347296355333866*m.x2 + 2*m.x3 + 0.347296355333855*m.x4
- 1.87938524157182*m.x5 - m.x6 + 1.53208888623796*m.x7 + 1.53208888623796*m.x8 - m.x9
- 1.87938524157182*m.x10 + 0.347296355333865*m.x11 + 2*m.x12 + 0.347296355333855*m.x13
- 1.87938524157182*m.x14 - 0.999999999999998*m.x15 + 1.53208888623796*m.x16
+ 1.53208888623795*m.x17 - m.x18 - 1.87938524157182*m.x19 + 0.347296355333861*m.x20 + 2*m.x21
+ 0.34729635533386*m.x22 - 1.87938524157182*m.x23 - m.x24 + 1.53208888623796*m.x25 - m.x26
<= 0)
m.c82 = Constraint(expr= - 1.99383466746626*m.x1 - 0.466890727711807*m.x2 + 1.84775906502258*m.x3 + 1.0449971294319*m.x4
- 1.52081193120006*m.x5 - 1.52081193120006*m.x6 + 1.0449971294319*m.x7 + 1.84775906502257*m.x8
- 0.466890727711812*m.x9 - 1.99383466746626*m.x10 - 0.156918191455686*m.x11
+ 1.94473984079535*m.x12 + 0.765366864730179*m.x13 - 1.70528032870819*m.x14
- 1.29889609666037*m.x15 + 1.29889609666037*m.x16 + 1.70528032870818*m.x17
- 0.765366864730181*m.x18 - 1.94473984079535*m.x19 + 0.156918191455691*m.x20
+ 1.99383466746626*m.x21 + 0.46689072771181*m.x22 - 1.84775906502257*m.x23
- 1.0449971294319*m.x24 + 1.52081193120006*m.x25 - m.x26 <= 0)
m.c83 = Constraint(expr= - 1.74923941427879*m.x1 - 1.2036300463041*m.x2 + 1.4142135623731*m.x3 + 1.59727102009459*m.x4
- 0.969619240492674*m.x5 - 1.8671608529944*m.x6 + 0.449902108687729*m.x7
+ 1.99238939618349*m.x8 + 0.10467191248589*m.x9 - 1.96325436689533*m.x10
- 0.65113630891431*m.x11 + 1.78201304837674*m.x12 + 1.14715287270209*m.x13
- 1.46270740323834*m.x14 - 1.55429192291394*m.x15 + 1.03007614982011*m.x16
+ 1.84100970690488*m.x17 - 0.517638090205042*m.x18 - 1.98509230328264*m.x19
- 0.034904812874566*m.x20 + 1.97537668119028*m.x21 + 0.584743409445473*m.x22
- 1.8126155740733*m.x23 - 1.08927807003005*m.x24 + 1.50941916044554*m.x25 - m.x26 <= 0)
m.c84 = Constraint(expr= - 1.18964557350268*m.x1 - 1.7407113918798*m.x2 + 0.765366864730176*m.x3 + 1.92726090641725*m.x4
- 0.295618822259219*m.x5 - 1.99931464995111*m.x6 - 0.191691505040448*m.x7
+ 1.95259201423987*m.x8 + 0.66761371846754*m.x9 - 1.78986872320405*m.x10
- 1.10387397062411*m.x11 + 1.52081193120006*m.x12 + 1.47455467362025*m.x13
- 1.16140591142188*m.x14 - 1.75763422532393*m.x15 + 0.733002453448595*m.x16
+ 1.93629528075622*m.x17 - 0.261052384440102*m.x18 - 1.99992384612834*m.x19
- 0.226406427535813*m.x20 + 1.94473984079535*m.x21 + 0.700414762518934*m.x22
- 1.77402166635644*m.x23 - 1.13281247384967*m.x24 + 1.497911441578*m.x25 - m.x26 <= 0)
m.c85 = Constraint(expr= - 0.415823381635513*m.x1 - 1.98904379073655*m.x2 - 9.80955400591059E-16*m.x3
+ 1.98904379073655*m.x4 + 0.415823381635522*m.x5 - 1.90211303259031*m.x6 - 0.8134732861516*m.x7
+ 1.73205080756888*m.x8 + 1.17557050458495*m.x9 - 1.48628965095479*m.x10
- 1.48628965095479*m.x11 + 1.17557050458494*m.x12 + 1.73205080756888*m.x13
- 0.813473286151603*m.x14 - 1.90211303259031*m.x15 + 0.415823381635519*m.x16
+ 1.98904379073655*m.x17 - 8.57252759403147E-16*m.x18 - 1.98904379073655*m.x19
- 0.41582338163552*m.x20 + 1.90211303259031*m.x21 + 0.813473286151601*m.x22
- 1.73205080756888*m.x23 - 1.17557050458495*m.x24 + 1.48628965095479*m.x25 - m.x26 <= 0)
m.c86 = Constraint(expr= 0.432879227876204*m.x1 - 1.90743390149645*m.x2 - 0.765366864730178*m.x3
+ 1.77402166635644*m.x4 + 1.07459921669365*m.x5 - 1.58670668058247*m.x6 - 1.35118041523132*m.x7
+ 1.35118041523132*m.x8 + 1.58670668058247*m.x9 - 1.07459921669364*m.x10
- 1.77402166635644*m.x11 + 0.765366864730175*m.x12 + 1.90743390149645*m.x13
- 0.432879227876201*m.x14 - 1.98288972274762*m.x15 + 0.0872387747306712*m.x16
+ 1.99809644316372*m.x17 + 0.261052384440104*m.x18 - 1.95259201423987*m.x19
- 0.601411599008547*m.x20 + 1.84775906502257*m.x21 + 0.923497226470068*m.x22
- 1.68678289162577*m.x23 - 1.21752285801744*m.x24 + 1.47455467362025*m.x25 - m.x26 <= 0)
m.c87 = Constraint(expr= 1.2036300463041*m.x1 - 1.50941916044554*m.x2 - 1.4142135623731*m.x3 + 1.31211805798102*m.x4
+ 1.59727102009459*m.x5 - 1.08927807003005*m.x6 - 1.74923941427879*m.x7 + 0.8452365234814*m.x8
+ 1.8671608529944*m.x9 - 0.58474340944547*m.x10 - 1.94874012957047*m.x11
+ 0.312868930080462*m.x12 + 1.99238939618349*m.x13 - 0.0349048128745626*m.x14
- 1.99725906950915*m.x15 - 0.243738686810296*m.x16 + 1.96325436689533*m.x17
+ 0.517638090205044*m.x18 - 1.89103715119863*m.x19 - 0.781462256978547*m.x20
+ 1.78201304837674*m.x21 + 1.03007614982011*m.x22 - 1.63830408857798*m.x23
- 1.25864078209968*m.x24 + 1.46270740323834*m.x25 - m.x26 <= 0)
m.c88 = Constraint(expr= 1.75763422532393*m.x1 - 0.861022193616594*m.x2 - 1.84775906502257*m.x3
+ 0.667613718467551*m.x4 + 1.91763946973638*m.x5 - 0.466890727711819*m.x6
- 1.96650981512791*m.x7 + 0.26105238444011*m.x8 + 1.99383466746626*m.x9
- 0.052353896615752*m.x10 - 1.99931464995111*m.x11 - 0.156918191455686*m.x12
+ 1.98288972274762*m.x13 + 0.364471050984292*m.x14 - 1.94473984079535*m.x15
- 0.568030689407844*m.x16 + 1.88528298218436*m.x17 + 0.765366864730176*m.x18
- 1.80517056869972*m.x19 - 0.954317520519215*m.x20 + 1.70528032870819*m.x21
+ 1.13281247384966*m.x22 - 1.58670668058247*m.x23 - 1.29889609666037*m.x24
+ 1.45074874202458*m.x25 - m.x26 <= 0)
m.c89 = Constraint(expr= 1.99512810051965*m.x1 - 0.069798993405004*m.x2 - 2*m.x3 - 0.0697989934049986*m.x4
+ 1.99512810051965*m.x5 + 0.209056926535302*m.x6 - 1.98053613748314*m.x7
- 0.347296355333855*m.x8 + 1.95629520146761*m.x9 + 0.483843791199335*m.x10
- 1.92252339187664*m.x11 - 0.618033988749893*m.x12 + 1.87938524157182*m.x13
+ 0.749213186831821*m.x14 - 1.8270909152852*m.x15 - 0.876742293578154*m.x16
+ 1.76589518571785*m.x17 + 0.999999999999998*m.x18 - 1.69609619231285*m.x19
- 1.11838580694149*m.x20 + 1.6180339887499*m.x21 + 1.23132295065132*m.x22
- 1.53208888623796*m.x23 - 1.33826121271772*m.x24 + 1.4386796006773*m.x25 - m.x26 <= 0)
m.c90 = Constraint(expr= 1.8733443784968*m.x1 + 0.733002453448595*m.x2 - 1.84775906502257*m.x3
- 0.797498137850495*m.x4 + 1.81992254175309*m.x5 + 0.861022193616589*m.x6
- 1.78986872320405*m.x7 - 0.923497226470063*m.x8 + 1.75763422532393*m.x9
+ 0.984847120206933*m.x10 - 1.72325832088305*m.x11 - 1.0449971294319*m.x12
+ 1.68678289162577*m.x13 + 1.10387397062411*m.x14 - 1.64825237724403*m.x15
- 1.16140591142188*m.x16 + 1.60771372123444*m.x17 + 1.21752285801744*m.x18
- 1.56521631370483*m.x19 - 1.27215644055553*m.x20 + 1.52081193120006*m.x21
+ 1.32524009643148*m.x22 - 1.47455467362025*m.x23 - 1.37670915138751*m.x24
+ 1.42650089830836*m.x25 - m.x26 <= 0)
m.c91 = Constraint(expr= 1.4142135623731*m.x1 + 1.4142135623731*m.x2 - 1.4142135623731*m.x3 - 1.41421356237309*m.x4
+ 1.4142135623731*m.x5 + 1.41421356237309*m.x6 - 1.4142135623731*m.x7 - 1.41421356237309*m.x8
+ 1.4142135623731*m.x9 + 1.41421356237309*m.x10 - 1.4142135623731*m.x11
- 1.41421356237309*m.x12 + 1.41421356237309*m.x13 + 1.41421356237309*m.x14
- 1.41421356237309*m.x15 - 1.41421356237309*m.x16 + 1.41421356237309*m.x17
+ 1.41421356237309*m.x18 - 1.41421356237309*m.x19 - 1.41421356237309*m.x20
+ 1.4142135623731*m.x21 + 1.41421356237309*m.x22 - 1.4142135623731*m.x23
- 1.41421356237309*m.x24 + 1.4142135623731*m.x25 - m.x26 <= 0)
m.c92 = Constraint(expr= - m.x26 + m.x28 - m.x29 == 0)
m.c93 = Constraint(expr= m.x26 + m.x27 - m.x29 == 0)
m.c94 = Constraint(expr=m.x28**2 - (m.x30**2 + m.x27**2) >= 0)
m.c95 = Constraint(expr= - 2*m.x1 - 2*m.x2 - 2*m.x3 - 2*m.x4 - 2*m.x5 - 2*m.x6 - 2*m.x7 - 2*m.x8 - 2*m.x9 - 2*m.x10
- 2*m.x11 - 2*m.x12 - 2*m.x13 - 2*m.x14 - 2*m.x15 - 2*m.x16 - 2*m.x17 - 2*m.x18 - 2*m.x19
- 2*m.x20 - 2*m.x21 - 2*m.x22 - 2*m.x23 - 2*m.x24 - 2*m.x25 + m.x29 <= 0)
m.c96 = Constraint(expr= - 1.81992254175309*m.x1 - 1.83412014877025*m.x2 - 1.84775906502257*m.x3 - 1.86083513596405*m.x4
- 1.8733443784968*m.x5 - 1.88528298218436*m.x6 - 1.8966473104124*m.x7 - 1.90743390149645*m.x8
- 1.91763946973639*m.x9 - 1.92726090641725*m.x10 - 1.93629528075622*m.x11
- 1.94473984079535*m.x12 - 1.95259201423987*m.x13 - 1.95984940924166*m.x14
- 1.96650981512791*m.x15 - 1.97257120307446*m.x16 - 1.97803172672383*m.x17
- 1.98288972274762*m.x18 - 1.98714371135317*m.x19 - 1.99079239673436*m.x20
- 1.99383466746626*m.x21 - 1.99626959684373*m.x22 - 1.99809644316372*m.x23
- 1.99931464995111*m.x24 - 1.99992384612834*m.x25 + m.x29 <= 0)
m.c97 = Constraint(expr= - 1.31211805798101*m.x1 - 1.363996720125*m.x2 - 1.4142135623731*m.x3 - 1.46270740323834*m.x4
- 1.50941916044554*m.x5 - 1.55429192291394*m.x6 - 1.59727102009459*m.x7 - 1.63830408857798*m.x8
- 1.67734113589085*m.x9 - 1.71433460140422*m.x10 - 1.74923941427879*m.x11
- 1.78201304837674*m.x12 - 1.8126155740733*m.x13 - 1.84100970690488*m.x14
- 1.8671608529944*m.x15 - 1.89103715119863*m.x16 - 1.91260951192607*m.x17
- 1.93185165257814*m.x18 - 1.94874012957047*m.x19 - 1.96325436689533*m.x20
- 1.97537668119028*m.x21 - 1.98509230328264*m.x22 - 1.99238939618349*m.x23
- 1.99725906950915*m.x24 - 1.99969539031278*m.x25 + m.x29 <= 0)
m.c98 = Constraint(expr= - 0.568030689407845*m.x1 - 0.667613718467542*m.x2 - 0.76536686473018*m.x3
- 0.86102219361659*m.x4 - 0.954317520519217*m.x5 - 1.0449971294319*m.x6 - 1.13281247384967*m.x7
- 1.21752285801744*m.x8 - 1.29889609666037*m.x9 - 1.37670915138751*m.x10
- 1.45074874202458*m.x11 - 1.52081193120006*m.x12 - 1.58670668058247*m.x13
- 1.64825237724403*m.x14 - 1.70528032870818*m.x15 - 1.75763422532393*m.x16
- 1.80517056869972*m.x17 - 1.84775906502257*m.x18 - 1.88528298218436*m.x19
- 1.91763946973639*m.x20 - 1.94473984079535*m.x21 - 1.96650981512791*m.x22
- 1.98288972274762*m.x23 - 1.99383466746626*m.x24 - 1.99931464995111*m.x25 + m.x29 <= 0)
m.c99 = Constraint(expr= 0.278346201920131*m.x1 + 0.139512947488251*m.x2 - 1.22464679914735E-16*m.x3
- 0.13951294748825*m.x4 - 0.278346201920131*m.x5 - 0.415823381635519*m.x6
- 0.551274711633998*m.x7 - 0.684040286651338*m.x8 - 0.8134732861516*m.x9
- 0.938943125571782*m.x10 - 1.05983852846641*m.x11 - 1.17557050458495*m.x12
- 1.28557521937308*m.x13 - 1.38931674091799*m.x14 - 1.48628965095479*m.x15
- 1.57602150721344*m.x16 - 1.65807514511008*m.x17 - 1.73205080756888*m.x18
- 1.79758809259833*m.x19 - 1.85436770913357*m.x20 - 1.90211303259031*m.x21
- 1.94059145255199*m.x22 - 1.96961550602442*m.x23 - 1.98904379073655*m.x24
- 1.99878165403819*m.x25 + m.x29 <= 0)
m.c100 = Constraint(expr= 1.07459921669365*m.x1 + 0.923497226470067*m.x2 + 0.765366864730179*m.x3
+ 0.601411599008546*m.x4 + 0.432879227876206*m.x5 + 0.261052384440103*m.x6
+ 0.0872387747306718*m.x7 - 0.087238774730672*m.x8 - 0.261052384440103*m.x9
- 0.432879227876206*m.x10 - 0.601411599008547*m.x11 - 0.76536686473018*m.x12
- 0.923497226470068*m.x13 - 1.07459921669365*m.x14 - 1.21752285801744*m.x15
- 1.35118041523132*m.x16 - 1.47455467362025*m.x17 - 1.58670668058247*m.x18
- 1.68678289162577*m.x19 - 1.77402166635644*m.x20 - 1.84775906502257*m.x21
- 1.90743390149645*m.x22 - 1.95259201423987*m.x23 - 1.98288972274762*m.x24
- 1.99809644316372*m.x25 + m.x29 <= 0)
m.c101 = Constraint(expr= 1.67734113589085*m.x1 + 1.55429192291394*m.x2 + 1.41421356237309*m.x3
+ 1.25864078209968*m.x4 + 1.08927807003005*m.x5 + 0.907980999479093*m.x6
+ 0.716735899090601*m.x7 + 0.517638090205042*m.x8 + 0.312868930080462*m.x9
+ 0.104671912485888*m.x10 - 0.104671912485887*m.x11 - 0.312868930080461*m.x12
- 0.517638090205041*m.x13 - 0.7167358990906*m.x14 - 0.907980999479094*m.x15
- 1.08927807003005*m.x16 - 1.25864078209968*m.x17 - 1.41421356237309*m.x18
- 1.55429192291394*m.x19 - 1.67734113589085*m.x20 - 1.78201304837674*m.x21
- 1.8671608529944*m.x22 - 1.93185165257814*m.x23 - 1.97537668119028*m.x24
- 1.99725906950915*m.x25 + m.x29 <= 0)
m.c102 = Constraint(expr= 1.97803172672383*m.x1 + 1.92726090641725*m.x2 + 1.84775906502257*m.x3 + 1.7407113918798*m.x4
+ 1.60771372123443*m.x5 + 1.45074874202458*m.x6 + 1.27215644055553*m.x7
+ 1.07459921669365*m.x8 + 0.861022193616591*m.x9 + 0.634609312810184*m.x10
+ 0.398735868834395*m.x11 + 0.15691819145569*m.x12 - 0.087238774730672*m.x13
- 0.330095211721355*m.x14 - 0.568030689407845*m.x15 - 0.797498137850493*m.x16
- 1.01507672592141*m.x17 - 1.21752285801744*m.x18 - 1.4018185285997*m.x19
- 1.56521631370483*m.x20 - 1.70528032870818*m.x21 - 1.81992254175309*m.x22
- 1.90743390149645*m.x23 - 1.96650981512791*m.x24 - 1.99626959684373*m.x25 + m.x29 <= 0)
m.c103 = Constraint(expr= 1.92252339187664*m.x1 + 1.98053613748314*m.x2 + 2*m.x3 + 1.98053613748314*m.x4
+ 1.92252339187664*m.x5 + 1.8270909152852*m.x6 + 1.69609619231285*m.x7 + 1.53208888623796*m.x8
+ 1.33826121271772*m.x9 + 1.11838580694149*m.x10 + 0.876742293578155*m.x11
+ 0.618033988749895*m.x12 + 0.347296355333861*m.x13 + 0.0697989934050019*m.x14
- 0.209056926535307*m.x15 - 0.483843791199335*m.x16 - 0.749213186831824*m.x17 - m.x18
- 1.23132295065132*m.x19 - 1.4386796006773*m.x20 - 1.61803398874989*m.x21
- 1.76589518571785*m.x22 - 1.87938524157182*m.x23 - 1.95629520146761*m.x24
- 1.99512810051965*m.x25 + m.x29 <= 0)
m.c104 = Constraint(expr= 1.52081193120006*m.x1 + 1.70528032870818*m.x2 + 1.84775906502257*m.x3
+ 1.94473984079535*m.x4 + 1.99383466746626*m.x5 + 1.99383466746626*m.x6
+ 1.94473984079535*m.x7 + 1.84775906502257*m.x8 + 1.70528032870818*m.x9
+ 1.52081193120006*m.x10 + 1.29889609666037*m.x11 + 1.0449971294319*m.x12
+ 0.765366864730179*m.x13 + 0.466890727711811*m.x14 + 0.15691819145569*m.x15
- 0.15691819145569*m.x16 - 0.466890727711811*m.x17 - 0.76536686473018*m.x18
- 1.0449971294319*m.x19 - 1.29889609666037*m.x20 - 1.52081193120006*m.x21
- 1.70528032870818*m.x22 - 1.84775906502257*m.x23 - 1.94473984079535*m.x24
- 1.99383466746626*m.x25 + m.x29 <= 0)
m.c105 = Constraint(expr= 0.8452365234814*m.x1 + 1.14715287270209*m.x2 + 1.4142135623731*m.x3 + 1.63830408857798*m.x4
+ 1.8126155740733*m.x5 + 1.93185165257814*m.x6 + 1.99238939618349*m.x7 + 1.99238939618349*m.x8
+ 1.93185165257814*m.x9 + 1.8126155740733*m.x10 + 1.63830408857798*m.x11
+ 1.41421356237309*m.x12 + 1.14715287270209*m.x13 + 0.845236523481399*m.x14
+ 0.517638090205041*m.x15 + 0.174311485495316*m.x16 - 0.174311485495317*m.x17
- 0.517638090205041*m.x18 - 0.845236523481399*m.x19 - 1.14715287270209*m.x20
- 1.4142135623731*m.x21 - 1.63830408857798*m.x22 - 1.8126155740733*m.x23
- 1.93185165257814*m.x24 - 1.99238939618349*m.x25 + m.x29 <= 0)
m.c106 = Constraint(expr= 0.0174530709967489*m.x1 + 0.398735868834395*m.x2 + 0.765366864730181*m.x3
+ 1.10387397062412*m.x4 + 1.4018185285997*m.x5 + 1.64825237724403*m.x6 + 1.83412014877025*m.x7
+ 1.95259201423987*m.x8 + 1.99931464995111*m.x9 + 1.97257120307446*m.x10
+ 1.8733443784968*m.x11 + 1.70528032870818*m.x12 + 1.47455467362025*m.x13
+ 1.18964557350268*m.x14 + 0.86102219361659*m.x15 + 0.500760008108883*m.x16
+ 0.122097079069714*m.x17 - 0.261052384440103*m.x18 - 0.634609312810185*m.x19
- 0.984847120206934*m.x20 - 1.29889609666037*m.x21 - 1.56521631370483*m.x22
- 1.77402166635644*m.x23 - 1.91763946973639*m.x24 - 1.99079239673436*m.x25 + m.x29 <= 0)
m.c107 = Constraint(expr= - 0.813473286151601*m.x1 - 0.415823381635519*m.x2 + 3.67394039744206E-16*m.x3
+ 0.415823381635518*m.x4 + 0.8134732861516*m.x5 + 1.17557050458495*m.x6
+ 1.48628965095479*m.x7 + 1.73205080756888*m.x8 + 1.90211303259031*m.x9
+ 1.98904379073655*m.x10 + 1.98904379073655*m.x11 + 1.90211303259031*m.x12
+ 1.73205080756888*m.x13 + 1.48628965095479*m.x14 + 1.17557050458495*m.x15
+ 0.813473286151601*m.x16 + 0.415823381635519*m.x17 + 3.21624529935327E-16*m.x18
- 0.415823381635518*m.x19 - 0.8134732861516*m.x20 - 1.17557050458495*m.x21
- 1.48628965095479*m.x22 - 1.73205080756888*m.x23 - 1.90211303259031*m.x24
- 1.98904379073655*m.x25 + m.x29 <= 0)
m.c108 = Constraint(expr= - 1.497911441578*m.x1 - 1.16140591142188*m.x2 - 0.76536686473018*m.x3 - 0.330095211721356*m.x4
+ 0.122097079069714*m.x5 + 0.568030689407845*m.x6 + 0.984847120206934*m.x7
+ 1.35118041523132*m.x8 + 1.64825237724403*m.x9 + 1.86083513596405*m.x10
+ 1.97803172672383*m.x11 + 1.99383466746626*m.x12 + 1.90743390149645*m.x13
+ 1.72325832088305*m.x14 + 1.45074874202458*m.x15 + 1.10387397062412*m.x16
+ 0.700414762518935*m.x17 + 0.261052384440103*m.x18 - 0.191691505040448*m.x19
- 0.634609312810184*m.x20 - 1.0449971294319*m.x21 - 1.4018185285997*m.x22
- 1.68678289162577*m.x23 - 1.88528298218436*m.x24 - 1.98714371135317*m.x25 + m.x29 <= 0)
m.c109 = Constraint(expr= - 1.91260951192607*m.x1 - 1.71433460140422*m.x2 - 1.41421356237309*m.x3
- 1.03007614982011*m.x4 - 0.584743409445473*m.x5 - 0.104671912485888*m.x6
+ 0.381617990753089*m.x7 + 0.845236523481398*m.x8 + 1.25864078209967*m.x9
+ 1.59727102009459*m.x10 + 1.84100970690488*m.x11 + 1.97537668119028*m.x12
+ 1.99238939618349*m.x13 + 1.89103715119863*m.x14 + 1.67734113589085*m.x15
+ 1.363996720125*m.x16 + 0.969619240492674*m.x17 + 0.517638090205042*m.x18
+ 0.034904812874567*m.x19 - 0.44990210868773*m.x20 - 0.907980999479094*m.x21
- 1.31211805798101*m.x22 - 1.63830408857798*m.x23 - 1.8671608529944*m.x24
- 1.98509230328264*m.x25 + m.x29 <= 0)
m.c110 = Constraint(expr= - 1.98288972274762*m.x1 - 1.98288972274762*m.x2 - 1.84775906502257*m.x3
- 1.58670668058247*m.x4 - 1.21752285801744*m.x5 - 0.765366864730178*m.x6
- 0.261052384440103*m.x7 + 0.261052384440105*m.x8 + 0.765366864730181*m.x9
+ 1.21752285801744*m.x10 + 1.58670668058247*m.x11 + 1.84775906502257*m.x12
+ 1.98288972274762*m.x13 + 1.98288972274762*m.x14 + 1.84775906502257*m.x15
+ 1.58670668058247*m.x16 + 1.21752285801744*m.x17 + 0.765366864730179*m.x18
+ 0.261052384440103*m.x19 - 0.261052384440103*m.x20 - 0.76536686473018*m.x21
- 1.21752285801744*m.x22 - 1.58670668058247*m.x23 - 1.84775906502257*m.x24
- 1.98288972274762*m.x25 + m.x29 <= 0)
m.c111 = Constraint(expr= - 1.69609619231285*m.x1 - 1.92252339187664*m.x2 - 2*m.x3 - 1.92252339187664*m.x4
- 1.69609619231285*m.x5 - 1.33826121271772*m.x6 - 0.876742293578155*m.x7
- 0.34729635533386*m.x8 + 0.209056926535307*m.x9 + 0.749213186831825*m.x10
+ 1.23132295065132*m.x11 + 1.61803398874989*m.x12 + 1.87938524157182*m.x13
+ 1.99512810051965*m.x14 + 1.95629520146761*m.x15 + 1.76589518571785*m.x16
+ 1.4386796006773*m.x17 + m.x18 + 0.483843791199336*m.x19 - 0.0697989934050022*m.x20
- 0.618033988749895*m.x21 - 1.11838580694149*m.x22 - 1.53208888623796*m.x23
- 1.8270909152852*m.x24 - 1.98053613748314*m.x25 + m.x29 <= 0)
m.c112 = Constraint(expr= - 1.10387397062412*m.x1 - 1.54324916677544*m.x2 - 1.84775906502257*m.x3
- 1.99079239673436*m.x4 - 1.95984940924166*m.x5 - 1.75763422532393*m.x6 - 1.4018185285997*m.x7
- 0.923497226470068*m.x8 - 0.364471050984295*m.x9 + 0.226406427535812*m.x10
+ 0.797498137850492*m.x11 + 1.29889609666037*m.x12 + 1.68678289162577*m.x13
+ 1.92726090641725*m.x14 + 1.99931464995111*m.x15 + 1.8966473104124*m.x16
+ 1.62823103671264*m.x17 + 1.21752285801744*m.x18 + 0.700414762518935*m.x19
+ 0.122097079069714*m.x20 - 0.466890727711811*m.x21 - 1.01507672592141*m.x22
- 1.47455467362025*m.x23 - 1.80517056869972*m.x24 - 1.97803172672383*m.x25 + m.x29 <= 0)
m.c113 = Constraint(expr= - 0.312868930080462*m.x1 - 0.907980999479094*m.x2 - 1.4142135623731*m.x3
- 1.78201304837674*m.x4 - 1.97537668119028*m.x5 - 1.97537668119028*m.x6
- 1.78201304837674*m.x7 - 1.41421356237309*m.x8 - 0.907980999479093*m.x9
- 0.312868930080461*m.x10 + 0.312868930080462*m.x11 + 0.907980999479094*m.x12
+ 1.4142135623731*m.x13 + 1.78201304837674*m.x14 + 1.97537668119028*m.x15
+ 1.97537668119028*m.x16 + 1.78201304837674*m.x17 + 1.41421356237309*m.x18
+ 0.907980999479093*m.x19 + 0.312868930080462*m.x20 - 0.312868930080462*m.x21
- 0.907980999479094*m.x22 - 1.4142135623731*m.x23 - 1.78201304837674*m.x24
- 1.97537668119028*m.x25 + m.x29 <= 0)
m.c114 = Constraint(expr= 0.534476752156515*m.x1 - 0.122097079069714*m.x2 - 0.765366864730179*m.x3
- 1.32524009643147*m.x4 - 1.7407113918798*m.x5 - 1.96650981512791*m.x6 - 1.97803172672383*m.x7
- 1.77402166635644*m.x8 - 1.37670915138751*m.x9 - 0.829386485312478*m.x10
- 0.191691505040448*m.x11 + 0.46689072771181*m.x12 + 1.07459921669365*m.x13
+ 1.56521631370483*m.x14 + 1.88528298218436*m.x15 + 1.99992384612834*m.x16
+ 1.8966473104124*m.x17 + 1.58670668058247*m.x18 + 1.10387397062412*m.x19
+ 0.500760008108883*m.x20 - 0.15691819145569*m.x21 - 0.797498137850492*m.x22
- 1.35118041523132*m.x23 - 1.75763422532393*m.x24 - 1.97257120307446*m.x25 + m.x29 <= 0)
m.c115 = Constraint(expr= 1.28557521937308*m.x1 + 0.684040286651336*m.x2 - 6.12323399573677E-16*m.x3
- 0.684040286651339*m.x4 - 1.28557521937308*m.x5 - 1.73205080756888*m.x6
- 1.96961550602442*m.x7 - 1.96961550602442*m.x8 - 1.73205080756888*m.x9
- 1.28557521937308*m.x10 - 0.684040286651336*m.x11 + 3.67394039744206E-16*m.x12
+ 0.684040286651339*m.x13 + 1.28557521937308*m.x14 + 1.73205080756888*m.x15
+ 1.96961550602442*m.x16 + 1.96961550602442*m.x17 + 1.73205080756888*m.x18
+ 1.28557521937308*m.x19 + 0.684040286651337*m.x20 - 1.22464679914735E-16*m.x21
- 0.684040286651338*m.x22 - 1.28557521937308*m.x23 - 1.73205080756888*m.x24
- 1.96961550602442*m.x25 + m.x29 <= 0)
m.c116 = Constraint(expr= 1.80517056869972*m.x1 + 1.37670915138751*m.x2 + 0.76536686473018*m.x3
+ 0.052353896615746*m.x4 - 0.667613718467541*m.x5 - 1.29889609666037*m.x6
- 1.75763422532393*m.x7 - 1.98288972274762*m.x8 - 1.94473984079535*m.x9
- 1.64825237724403*m.x10 - 1.13281247384966*m.x11 - 0.466890727711811*m.x12
+ 0.261052384440103*m.x13 + 0.954317520519217*m.x14 + 1.52081193120006*m.x15
+ 1.88528298218436*m.x16 + 1.99931464995111*m.x17 + 1.84775906502257*m.x18
+ 1.45074874202458*m.x19 + 0.861022193616591*m.x20 + 0.15691819145569*m.x21
- 0.568030689407845*m.x22 - 1.21752285801744*m.x23 - 1.70528032870818*m.x24
- 1.96650981512791*m.x25 + m.x29 <= 0)
m.c117 = Constraint(expr= 1.99969539031278*m.x1 + 1.84100970690488*m.x2 + 1.41421356237309*m.x3
+ 0.781462256978547*m.x4 + 0.034904812874566*m.x5 - 0.716735899090602*m.x6
- 1.363996720125*m.x7 - 1.8126155740733*m.x8 - 1.99725906950915*m.x9 - 1.89103715119863*m.x10
- 1.50941916044554*m.x11 - 0.907980999479093*m.x12 - 0.174311485495316*m.x13
+ 0.584743409445474*m.x14 + 1.25864078209968*m.x15 + 1.74923941427879*m.x16
+ 1.98509230328264*m.x17 + 1.93185165257814*m.x18 + 1.59727102009459*m.x19
+ 1.03007614982011*m.x20 + 0.312868930080462*m.x21 - 0.44990210868773*m.x22
- 1.14715287270209*m.x23 - 1.67734113589085*m.x24 - 1.96325436689533*m.x25 + m.x29 <= 0)
m.c118 = Constraint(expr= 1.83412014877025*m.x1 + 1.99992384612834*m.x2 + 1.84775906502257*m.x3 + 1.4018185285997*m.x4
+ 0.733002453448593*m.x5 - 0.0523538966157472*m.x6 - 0.829386485312479*m.x7
- 1.47455467362025*m.x8 - 1.88528298218436*m.x9 - 1.99626959684373*m.x10
- 1.78986872320405*m.x11 - 1.29889609666037*m.x12 - 0.601411599008547*m.x13
+ 0.191691505040449*m.x14 + 0.954317520519217*m.x15 + 1.56521631370483*m.x16
+ 1.92726090641725*m.x17 + 1.98288972274762*m.x18 + 1.72325832088305*m.x19
+ 1.18964557350268*m.x20 + 0.466890727711811*m.x21 - 0.330095211721355*m.x22
- 1.07459921669365*m.x23 - 1.64825237724403*m.x24 - 1.95984940924166*m.x25 + m.x29 <= 0)
m.c119 = Constraint(expr= 1.33826121271772*m.x1 + 1.8270909152852*m.x2 + 2*m.x3 + 1.8270909152852*m.x4
+ 1.33826121271772*m.x5 + 0.618033988749894*m.x6 - 0.209056926535307*m.x7 - m.x8
- 1.61803398874989*m.x9 - 1.95629520146761*m.x10 - 1.95629520146761*m.x11
- 1.6180339887499*m.x12 - m.x13 - 0.209056926535308*m.x14 + 0.618033988749895*m.x15
+ 1.33826121271772*m.x16 + 1.8270909152852*m.x17 + 2*m.x18 + 1.8270909152852*m.x19
+ 1.33826121271772*m.x20 + 0.618033988749895*m.x21 - 0.209056926535307*m.x22 - m.x23
- 1.61803398874989*m.x24 - 1.95629520146761*m.x25 + m.x29 <= 0)
m.c120 = Constraint(expr= 0.601411599008548*m.x1 + 1.35118041523132*m.x2 + 1.84775906502257*m.x3
+ 1.99809644316372*m.x4 + 1.77402166635644*m.x5 + 1.21752285801744*m.x6
+ 0.432879227876206*m.x7 - 0.432879227876206*m.x8 - 1.21752285801744*m.x9
- 1.77402166635644*m.x10 - 1.99809644316372*m.x11 - 1.84775906502257*m.x12
- 1.35118041523132*m.x13 - 0.601411599008545*m.x14 + 0.261052384440103*m.x15
+ 1.07459921669365*m.x16 + 1.68678289162577*m.x17 + 1.98288972274762*m.x18
+ 1.90743390149645*m.x19 + 1.47455467362025*m.x20 + 0.765366864730179*m.x21
- 0.087238774730672*m.x22 - 0.923497226470068*m.x23 - 1.58670668058247*m.x24
- 1.95259201423987*m.x25 + m.x29 <= 0)
m.c121 = Constraint(expr= - 0.243738686810297*m.x1 + 0.651136308914312*m.x2 + 1.41421356237309*m.x3
+ 1.89103715119863*m.x4 + 1.98509230328264*m.x5 + 1.67734113589085*m.x6
+ 1.03007614982011*m.x7 + 0.174311485495317*m.x8 - 0.7167358990906*m.x9
- 1.46270740323834*m.x10 - 1.91260951192607*m.x11 - 1.97537668119028*m.x12
- 1.63830408857798*m.x13 - 0.969619240492675*m.x14 - 0.104671912485888*m.x15
+ 0.781462256978548*m.x16 + 1.50941916044554*m.x17 + 1.93185165257814*m.x18
+ 1.96325436689533*m.x19 + 1.59727102009459*m.x20 + 0.907980999479093*m.x21
+ 0.034904812874567*m.x22 - 0.845236523481399*m.x23 - 1.55429192291394*m.x24
- 1.94874012957047*m.x25 + m.x29 <= 0)
m.c122 = Constraint(expr= - 1.0449971294319*m.x1 - 0.15691819145569*m.x2 + 0.765366864730181*m.x3
+ 1.52081193120006*m.x4 + 1.94473984079535*m.x5 + 1.94473984079535*m.x6
+ 1.52081193120006*m.x7 + 0.76536686473018*m.x8 - 0.156918191455691*m.x9
- 1.0449971294319*m.x10 - 1.70528032870819*m.x11 - 1.99383466746626*m.x12
- 1.84775906502257*m.x13 - 1.29889609666037*m.x14 - 0.46689072771181*m.x15
+ 0.46689072771181*m.x16 + 1.29889609666037*m.x17 + 1.84775906502257*m.x18
+ 1.99383466746626*m.x19 + 1.70528032870818*m.x20 + 1.0449971294319*m.x21
+ 0.15691819145569*m.x22 - 0.76536686473018*m.x23 - 1.52081193120006*m.x24
- 1.94473984079535*m.x25 + m.x29 <= 0)
m.c123 = Constraint(expr= - 1.65807514511008*m.x1 - 0.93894312557178*m.x2 + 8.57252759403147E-16*m.x3
+ 0.938943125571782*m.x4 + 1.65807514511008*m.x5 + 1.98904379073655*m.x6
+ 1.85436770913358*m.x7 + 1.28557521937308*m.x8 + 0.41582338163552*m.x9
- 0.551274711633998*m.x10 - 1.38931674091799*m.x11 - 1.90211303259031*m.x12
- 1.96961550602442*m.x13 - 1.57602150721344*m.x14 - 0.813473286151601*m.x15
+ 0.139512947488251*m.x16 + 1.05983852846641*m.x17 + 1.73205080756888*m.x18
+ 1.99878165403819*m.x19 + 1.79758809259833*m.x20 + 1.17557050458495*m.x21
+ 0.278346201920131*m.x22 - 0.684040286651338*m.x23 - 1.48628965095479*m.x24
- 1.94059145255199*m.x25 + m.x29 <= 0)
m.c124 = Constraint(expr= - 1.97257120307446*m.x1 - 1.56521631370483*m.x2 - 0.76536686473018*m.x3
+ 0.226406427535811*m.x4 + 1.16140591142188*m.x5 + 1.80517056869972*m.x6
+ 1.99626959684373*m.x7 + 1.68678289162577*m.x8 + 0.954317520519218*m.x9
- 0.0174530709967474*m.x10 - 0.984847120206933*m.x11 - 1.70528032870818*m.x12
- 1.99809644316372*m.x13 - 1.78986872320405*m.x14 - 1.13281247384967*m.x15
- 0.191691505040448*m.x16 + 0.797498137850492*m.x17 + 1.58670668058247*m.x18
+ 1.97803172672383*m.x19 + 1.8733443784968*m.x20 + 1.29889609666037*m.x21
+ 0.398735868834395*m.x22 - 0.601411599008546*m.x23 - 1.45074874202458*m.x24
- 1.93629528075622*m.x25 + m.x29 <= 0)
m.c125 = Constraint(expr= - 1.93185165257814*m.x1 - 1.93185165257814*m.x2 - 1.41421356237309*m.x3
- 0.51763809020504*m.x4 + 0.517638090205045*m.x5 + 1.4142135623731*m.x6
+ 1.93185165257814*m.x7 + 1.93185165257814*m.x8 + 1.41421356237309*m.x9
+ 0.51763809020504*m.x10 - 0.517638090205043*m.x11 - 1.4142135623731*m.x12
- 1.93185165257814*m.x13 - 1.93185165257814*m.x14 - 1.41421356237309*m.x15
- 0.517638090205041*m.x16 + 0.517638090205043*m.x17 + 1.4142135623731*m.x18
+ 1.93185165257814*m.x19 + 1.93185165257814*m.x20 + 1.41421356237309*m.x21
+ 0.517638090205041*m.x22 - 0.517638090205042*m.x23 - 1.4142135623731*m.x24
- 1.93185165257814*m.x25 + m.x29 <= 0)
m.c126 = Constraint(expr= - 1.54324916677544*m.x1 - 1.97803172672383*m.x2 - 1.84775906502257*m.x3
- 1.18964557350268*m.x4 - 0.191691505040446*m.x5 + 0.861022193616592*m.x6
+ 1.66777164413434*m.x7 + 1.99809644316372*m.x8 + 1.75763422532393*m.x9
+ 1.01507672592141*m.x10 - 0.0174530709967492*m.x11 - 1.0449971294319*m.x12
- 1.77402166635644*m.x13 - 1.99626959684373*m.x14 - 1.64825237724403*m.x15
- 0.829386485312478*m.x16 + 0.226406427535814*m.x17 + 1.21752285801744*m.x18
+ 1.86083513596405*m.x19 + 1.97257120307446*m.x20 + 1.52081193120006*m.x21
+ 0.634609312810184*m.x22 - 0.432879227876206*m.x23 - 1.37670915138751*m.x24
- 1.92726090641725*m.x25 + m.x29 <= 0)
m.c127 = Constraint(expr= - 0.876742293578156*m.x1 - 1.69609619231285*m.x2 - 2*m.x3 - 1.69609619231285*m.x4
- 0.876742293578154*m.x5 + 0.209056926535309*m.x6 + 1.23132295065132*m.x7
+ 1.87938524157182*m.x8 + 1.95629520146761*m.x9 + 1.4386796006773*m.x10
+ 0.483843791199336*m.x11 - 0.618033988749895*m.x12 - 1.53208888623796*m.x13
- 1.98053613748314*m.x14 - 1.8270909152852*m.x15 - 1.11838580694149*m.x16
- 0.0697989934050026*m.x17 + m.x18 + 1.76589518571785*m.x19 + 1.99512810051965*m.x20
+ 1.61803398874989*m.x21 + 0.749213186831824*m.x22 - 0.347296355333861*m.x23
- 1.33826121271772*m.x24 - 1.92252339187664*m.x25 + m.x29 <= 0)
m.c128 = Constraint(expr= - 0.0523538966157441*m.x1 - 1.13281247384967*m.x2 - 1.84775906502257*m.x3
- 1.96650981512791*m.x4 - 1.45074874202458*m.x5 - 0.466890727711813*m.x6
+ 0.667613718467543*m.x7 + 1.58670668058247*m.x8 + 1.99383466746626*m.x9
+ 1.75763422532393*m.x10 + 0.954317520519218*m.x11 - 0.15691819145569*m.x12
- 1.21752285801744*m.x13 - 1.88528298218436*m.x14 - 1.94473984079535*m.x15
- 1.37670915138751*m.x16 - 0.364471050984295*m.x17 + 0.765366864730179*m.x18
+ 1.64825237724403*m.x19 + 1.99931464995111*m.x20 + 1.70528032870818*m.x21
+ 0.861022193616591*m.x22 - 0.261052384440103*m.x23 - 1.29889609666037*m.x24
- 1.91763946973639*m.x25 + m.x29 <= 0)
m.c129 = Constraint(expr= 0.78146225697855*m.x1 - 0.381617990753088*m.x2 - 1.41421356237309*m.x3
- 1.96325436689533*m.x4 - 1.84100970690488*m.x5 - 1.08927807003006*m.x6
+ 0.0349048128745657*m.x7 + 1.14715287270209*m.x8 + 1.8671608529944*m.x9
+ 1.94874012957047*m.x10 + 1.363996720125*m.x11 + 0.312868930080463*m.x12
- 0.845236523481399*m.x13 - 1.71433460140422*m.x14 - 1.99725906950915*m.x15
- 1.59727102009459*m.x16 - 0.651136308914314*m.x17 + 0.517638090205041*m.x18
+ 1.50941916044554*m.x19 + 1.98509230328264*m.x20 + 1.78201304837674*m.x21
+ 0.969619240492674*m.x22 - 0.174311485495316*m.x23 - 1.25864078209967*m.x24
- 1.91260951192607*m.x25 + m.x29 <= 0)
m.c130 = Constraint(expr= 1.47455467362025*m.x1 + 0.432879227876202*m.x2 - 0.765366864730181*m.x3
- 1.68678289162577*m.x4 - 1.99809644316372*m.x5 - 1.58670668058247*m.x6
- 0.601411599008543*m.x7 + 0.601411599008548*m.x8 + 1.58670668058247*m.x9
+ 1.99809644316372*m.x10 + 1.68678289162577*m.x11 + 0.76536686473018*m.x12
- 0.432879227876208*m.x13 - 1.47455467362025*m.x14 - 1.98288972274762*m.x15
- 1.77402166635644*m.x16 - 0.923497226470066*m.x17 + 0.261052384440103*m.x18
+ 1.35118041523132*m.x19 + 1.95259201423987*m.x20 + 1.84775906502257*m.x21
+ 1.07459921669365*m.x22 - 0.087238774730672*m.x23 - 1.21752285801744*m.x24
- 1.90743390149645*m.x25 + m.x29 <= 0)
m.c131 = Constraint(expr= 1.90211303259031*m.x1 + 1.17557050458495*m.x2 - 1.10218211923262E-15*m.x3
- 1.17557050458495*m.x4 - 1.90211303259031*m.x5 - 1.90211303259031*m.x6
- 1.17557050458495*m.x7 + 8.57252759403147E-16*m.x8 + 1.17557050458495*m.x9
+ 1.90211303259031*m.x10 + 1.90211303259031*m.x11 + 1.17557050458495*m.x12
- 6.12323399573677E-16*m.x13 - 1.17557050458495*m.x14 - 1.90211303259031*m.x15
- 1.90211303259031*m.x16 - 1.17557050458495*m.x17 + 3.67394039744206E-16*m.x18
+ 1.17557050458495*m.x19 + 1.90211303259031*m.x20 + 1.90211303259031*m.x21
+ 1.17557050458495*m.x22 - 1.22464679914735E-16*m.x23 - 1.17557050458495*m.x24
- 1.90211303259031*m.x25 + m.x29 <= 0)
m.c132 = Constraint(expr= 1.98714371135318*m.x1 + 1.72325832088305*m.x2 + 0.765366864730179*m.x3
- 0.500760008108884*m.x4 - 1.56521631370483*m.x5 - 1.99931464995111*m.x6
- 1.62823103671264*m.x7 - 0.601411599008546*m.x8 + 0.667613718467543*m.x9
+ 1.66777164413434*m.x10 + 1.99626959684373*m.x11 + 1.52081193120006*m.x12
+ 0.432879227876206*m.x13 - 0.829386485312479*m.x14 - 1.75763422532393*m.x15
- 1.97803172672383*m.x16 - 1.4018185285997*m.x17 - 0.261052384440103*m.x18
+ 0.984847120206934*m.x19 + 1.83412014877025*m.x20 + 1.94473984079535*m.x21
+ 1.27215644055553*m.x22 + 0.0872387747306718*m.x23 - 1.13281247384967*m.x24
- 1.8966473104124*m.x25 + m.x29 <= 0)
m.c133 = Constraint(expr= 1.71433460140422*m.x1 + 1.98509230328264*m.x2 + 1.4142135623731*m.x3
+ 0.243738686810296*m.x4 - 1.03007614982011*m.x5 - 1.8671608529944*m.x6
- 1.91260951192607*m.x7 - 1.14715287270209*m.x8 + 0.104671912485886*m.x9
+ 1.31211805798101*m.x10 + 1.96325436689533*m.x11 + 1.78201304837674*m.x12
+ 0.845236523481401*m.x13 - 0.449902108687729*m.x14 - 1.55429192291394*m.x15
- 1.99969539031278*m.x16 - 1.59727102009459*m.x17 - 0.517638090205042*m.x18
+ 0.781462256978548*m.x19 + 1.74923941427879*m.x20 + 1.97537668119028*m.x21
+ 1.363996720125*m.x22 + 0.174311485495316*m.x23 - 1.08927807003005*m.x24
- 1.89103715119863*m.x25 + m.x29 <= 0)
m.c134 = Constraint(expr= 1.13281247384967*m.x1 + 1.91763946973639*m.x2 + 1.84775906502257*m.x3
+ 0.954317520519214*m.x4 - 0.364471050984298*m.x5 - 1.52081193120006*m.x6
- 1.99931464995111*m.x7 - 1.58670668058247*m.x8 - 0.466890727711809*m.x9
+ 0.861022193616592*m.x10 + 1.80517056869972*m.x11 + 1.94473984079535*m.x12
+ 1.21752285801744*m.x13 - 0.0523538966157472*m.x14 - 1.29889609666037*m.x15
- 1.96650981512791*m.x16 - 1.75763422532393*m.x17 - 0.765366864730178*m.x18
+ 0.568030689407845*m.x19 + 1.64825237724403*m.x20 + 1.99383466746626*m.x21
+ 1.45074874202457*m.x22 + 0.261052384440103*m.x23 - 1.0449971294319*m.x24
- 1.88528298218436*m.x25 + m.x29 <= 0)
m.c135 = Constraint(expr= 0.347296355333865*m.x1 + 1.53208888623796*m.x2 + 2*m.x3 + 1.53208888623795*m.x4
+ 0.347296355333859*m.x5 - m.x6 - 1.87938524157182*m.x7 - 1.87938524157182*m.x8
- 0.999999999999998*m.x9 + 0.347296355333861*m.x10 + 1.53208888623796*m.x11 + 2*m.x12
+ 1.53208888623795*m.x13 + 0.34729635533386*m.x14 - m.x15 - 1.87938524157182*m.x16
- 1.87938524157182*m.x17 - m.x18 + 0.347296355333861*m.x19 + 1.53208888623796*m.x20 + 2*m.x21
+ 1.53208888623796*m.x22 + 0.347296355333861*m.x23 - m.x24 - 1.87938524157182*m.x25 + m.x29
<= 0)
m.c136 = Constraint(expr= - 0.500760008108885*m.x1 + 0.892395626219618*m.x2 + 1.84775906502258*m.x3
+ 1.8966473104124*m.x4 + 1.01507672592141*m.x5 - 0.364471050984295*m.x6
- 1.56521631370483*m.x7 - 1.99809644316372*m.x8 - 1.45074874202458*m.x9
- 0.191691505040446*m.x10 + 1.16140591142188*m.x11 + 1.94473984079535*m.x12
+ 1.77402166635644*m.x13 + 0.733002453448593*m.x14 - 0.667613718467543*m.x15
- 1.7407113918798*m.x16 - 1.95984940924166*m.x17 - 1.21752285801744*m.x18
+ 0.122097079069714*m.x19 + 1.4018185285997*m.x20 + 1.99383466746626*m.x21
+ 1.60771372123443*m.x22 + 0.432879227876206*m.x23 - 0.954317520519217*m.x24
- 1.8733443784968*m.x25 + m.x29 <= 0)
m.c137 = Constraint(expr= - 1.25864078209968*m.x1 + 0.104671912485886*m.x2 + 1.41421356237309*m.x3
+ 1.99725906950915*m.x4 + 1.55429192291394*m.x5 + 0.312868930080462*m.x6
- 1.08927807003005*m.x7 - 1.93185165257814*m.x8 - 1.78201304837674*m.x9
- 0.7167358990906*m.x10 + 0.716735899090602*m.x11 + 1.78201304837674*m.x12
+ 1.93185165257814*m.x13 + 1.08927807003005*m.x14 - 0.312868930080462*m.x15
- 1.55429192291394*m.x16 - 1.99725906950915*m.x17 - 1.41421356237309*m.x18
- 0.104671912485888*m.x19 + 1.25864078209967*m.x20 + 1.97537668119028*m.x21
+ 1.67734113589085*m.x22 + 0.517638090205042*m.x23 - 0.907980999479094*m.x24
- 1.8671608529944*m.x25 + m.x29 <= 0)
m.c138 = Constraint(expr= - 1.78986872320405*m.x1 - 0.700414762518939*m.x2 + 0.765366864730175*m.x3
+ 1.81992254175309*m.x4 + 1.8966473104124*m.x5 + 0.954317520519218*m.x6
- 0.500760008108881*m.x7 - 1.68678289162577*m.x8 - 1.96650981512791*m.x9
- 1.18964557350268*m.x10 + 0.226406427535811*m.x11 + 1.52081193120006*m.x12
+ 1.99809644316372*m.x13 + 1.4018185285997*m.x14 + 0.0523538966157478*m.x15
- 1.32524009643147*m.x16 - 1.99079239673436*m.x17 - 1.58670668058247*m.x18
- 0.330095211721356*m.x19 + 1.10387397062412*m.x20 + 1.94473984079535*m.x21
+ 1.7407113918798*m.x22 + 0.601411599008546*m.x23 - 0.86102219361659*m.x24
- 1.86083513596405*m.x25 + m.x29 <= 0)
m.c139 = Constraint(expr= - 1.99878165403819*m.x1 - 1.38931674091799*m.x2 + 4.89982515786259E-15*m.x3
+ 1.389316740918*m.x4 + 1.99878165403819*m.x5 + 1.48628965095479*m.x6 + 0.139512947488248*m.x7
- 1.28557521937308*m.x8 - 1.98904379073655*m.x9 - 1.57602150721344*m.x10
- 0.27834620192013*m.x11 + 1.17557050458495*m.x12 + 1.96961550602442*m.x13
+ 1.65807514511008*m.x14 + 0.415823381635517*m.x15 - 1.05983852846641*m.x16
- 1.94059145255199*m.x17 - 1.73205080756888*m.x18 - 0.551274711633997*m.x19
+ 0.938943125571782*m.x20 + 1.90211303259031*m.x21 + 1.79758809259833*m.x22
+ 0.684040286651337*m.x23 - 0.813473286151601*m.x24 - 1.85436770913357*m.x25 + m.x29 <= 0)
m.c140 = Constraint(expr= - 1.84775906502258*m.x1 - 1.84775906502257*m.x2 - 0.765366864730179*m.x3
+ 0.765366864730182*m.x4 + 1.84775906502258*m.x5 + 1.84775906502257*m.x6
+ 0.765366864730179*m.x7 - 0.765366864730181*m.x8 - 1.84775906502257*m.x9
- 1.84775906502257*m.x10 - 0.76536686473018*m.x11 + 0.765366864730181*m.x12
+ 1.84775906502257*m.x13 + 1.84775906502257*m.x14 + 0.76536686473018*m.x15
- 0.765366864730181*m.x16 - 1.84775906502257*m.x17 - 1.84775906502257*m.x18
- 0.76536686473018*m.x19 + 0.765366864730181*m.x20 + 1.84775906502257*m.x21
+ 1.84775906502257*m.x22 + 0.765366864730179*m.x23 - 0.76536686473018*m.x24
- 1.84775906502257*m.x25 + m.x29 <= 0)
m.c141 = Constraint(expr= - 1.36399672012499*m.x1 - 1.99969539031278*m.x2 - 1.41421356237309*m.x3
+ 0.0349048128745698*m.x4 + 1.46270740323834*m.x5 + 1.99725906950915*m.x6
+ 1.31211805798101*m.x7 - 0.174311485495317*m.x8 - 1.55429192291394*m.x9
- 1.98509230328264*m.x10 - 1.2036300463041*m.x11 + 0.312868930080461*m.x12
+ 1.63830408857798*m.x13 + 1.96325436689533*m.x14 + 1.08927807003005*m.x15
- 0.449902108687731*m.x16 - 1.71433460140422*m.x17 - 1.93185165257814*m.x18
- 0.969619240492675*m.x19 + 0.584743409445474*m.x20 + 1.78201304837674*m.x21
+ 1.89103715119863*m.x22 + 0.845236523481399*m.x23 - 0.7167358990906*m.x24
- 1.84100970690488*m.x25 + m.x29 <= 0)
m.c142 = Constraint(expr= - 0.634609312810181*m.x1 - 1.81992254175309*m.x2 - 1.84775906502257*m.x3
- 0.700414762518939*m.x4 + 0.892395626219618*m.x5 + 1.91763946973639*m.x6
+ 1.72325832088305*m.x7 + 0.432879227876206*m.x8 - 1.13281247384967*m.x9
- 1.97803172672383*m.x10 - 1.56521631370483*m.x11 - 0.15691819145569*m.x12
+ 1.35118041523132*m.x13 + 1.99992384612834*m.x14 + 1.37670915138751*m.x15
- 0.122097079069714*m.x16 - 1.54324916677544*m.x17 - 1.98288972274762*m.x18
- 1.16140591142188*m.x19 + 0.398735868834395*m.x20 + 1.70528032870818*m.x21
+ 1.92726090641725*m.x22 + 0.923497226470068*m.x23 - 0.667613718467542*m.x24
- 1.83412014877025*m.x25 + m.x29 <= 0)
m.c143 = Constraint(expr= 0.20905692653531*m.x1 - 1.33826121271772*m.x2 - 2*m.x3 - 1.33826121271772*m.x4
+ 0.209056926535306*m.x5 + 1.6180339887499*m.x6 + 1.95629520146761*m.x7 + m.x8
- 0.618033988749892*m.x9 - 1.8270909152852*m.x10 - 1.8270909152852*m.x11
- 0.618033988749897*m.x12 + m.x13 + 1.95629520146761*m.x14 + 1.61803398874989*m.x15
+ 0.209056926535307*m.x16 - 1.33826121271772*m.x17 - 2*m.x18 - 1.33826121271772*m.x19
+ 0.209056926535307*m.x20 + 1.61803398874989*m.x21 + 1.95629520146761*m.x22 + m.x23
- 0.618033988749895*m.x24 - 1.8270909152852*m.x25 + m.x29 <= 0)
m.c144 = Constraint(expr= 1.0150767259214*m.x1 - 0.634609312810188*m.x2 - 1.84775906502258*m.x3
- 1.78986872320405*m.x4 - 0.500760008108879*m.x5 + 1.13281247384967*m.x6
+ 1.98714371135318*m.x7 + 1.47455467362025*m.x8 - 0.0523538966157477*m.x9
- 1.54324916677544*m.x10 - 1.97257120307446*m.x11 - 1.0449971294319*m.x12
+ 0.601411599008548*m.x13 + 1.83412014877025*m.x14 + 1.80517056869972*m.x15
+ 0.534476752156511*m.x16 - 1.10387397062412*m.x17 - 1.98288972274762*m.x18
- 1.497911441578*m.x19 + 0.0174530709967489*m.x20 + 1.52081193120006*m.x21
+ 1.97803172672383*m.x22 + 1.07459921669365*m.x23 - 0.568030689407846*m.x24
- 1.81992254175309*m.x25 + m.x29 <= 0)
m.c145 = Constraint(expr= 1.63830408857798*m.x1 + 0.174311485495315*m.x2 - 1.41421356237309*m.x3
- 1.99238939618349*m.x4 - 1.14715287270209*m.x5 + 0.517638090205042*m.x6
+ 1.8126155740733*m.x7 + 1.8126155740733*m.x8 + 0.51763809020504*m.x9 - 1.14715287270209*m.x10
- 1.99238939618349*m.x11 - 1.4142135623731*m.x12 + 0.174311485495317*m.x13
+ 1.63830408857798*m.x14 + 1.93185165257814*m.x15 + 0.845236523481397*m.x16
- 0.845236523481399*m.x17 - 1.93185165257814*m.x18 - 1.63830408857798*m.x19
- 0.174311485495316*m.x20 + 1.4142135623731*m.x21 + 1.99238939618349*m.x22
+ 1.14715287270209*m.x23 - 0.517638090205041*m.x24 - 1.8126155740733*m.x25 + m.x29 <= 0)
m.c146 = Constraint(expr= 1.96650981512791*m.x1 + 0.954317520519217*m.x2 - 0.765366864730182*m.x3
- 1.91763946973639*m.x4 - 1.64825237724403*m.x5 - 0.156918191455693*m.x6
+ 1.45074874202458*m.x7 + 1.98288972274762*m.x8 + 1.0449971294319*m.x9
- 0.667613718467543*m.x10 - 1.88528298218436*m.x11 - 1.70528032870818*m.x12
- 0.261052384440104*m.x13 + 1.37670915138751*m.x14 + 1.99383466746626*m.x15
+ 1.13281247384966*m.x16 - 0.568030689407846*m.x17 - 1.84775906502257*m.x18
- 1.75763422532393*m.x19 - 0.364471050984295*m.x20 + 1.29889609666037*m.x21
+ 1.99931464995111*m.x22 + 1.21752285801744*m.x23 - 0.466890727711811*m.x24
- 1.80517056869972*m.x25 + m.x29 <= 0)
m.c147 = Constraint(expr= 1.94059145255199*m.x1 + 1.57602150721345*m.x2 + 1.96067283990894E-15*m.x3
- 1.57602150721344*m.x4 - 1.94059145255199*m.x5 - 0.8134732861516*m.x6
+ 0.938943125571782*m.x7 + 1.96961550602442*m.x8 + 1.48628965095479*m.x9
- 0.13951294748825*m.x10 - 1.65807514511008*m.x11 - 1.90211303259031*m.x12
- 0.684040286651339*m.x13 + 1.05983852846641*m.x14 + 1.98904379073655*m.x15
+ 1.38931674091799*m.x16 - 0.27834620192013*m.x17 - 1.73205080756888*m.x18
- 1.85436770913358*m.x19 - 0.551274711633999*m.x20 + 1.17557050458495*m.x21
+ 1.99878165403819*m.x22 + 1.28557521937308*m.x23 - 0.415823381635518*m.x24
- 1.79758809259833*m.x25 + m.x29 <= 0)
m.c148 = Constraint(expr= 1.56521631370483*m.x1 + 1.93629528075622*m.x2 + 0.765366864730179*m.x3
- 1.01507672592141*m.x4 - 1.98714371135318*m.x5 - 1.37670915138751*m.x6
+ 0.330095211721357*m.x7 + 1.77402166635644*m.x8 + 1.80517056869972*m.x9
+ 0.398735868834393*m.x10 - 1.32524009643148*m.x11 - 1.99383466746626*m.x12
- 1.07459921669365*m.x13 + 0.700414762518937*m.x14 + 1.91763946973639*m.x15
+ 1.60771372123443*m.x16 + 0.0174530709967462*m.x17 - 1.58670668058247*m.x18
- 1.92726090641725*m.x19 - 0.733002453448594*m.x20 + 1.0449971294319*m.x21
+ 1.99079239673436*m.x22 + 1.35118041523132*m.x23 - 0.364471050984295*m.x24
- 1.78986872320405*m.x25 + m.x29 <= 0)
m.c149 = Constraint(expr= 0.907980999479097*m.x1 + 1.97537668119028*m.x2 + 1.41421356237309*m.x3
- 0.312868930080462*m.x4 - 1.78201304837674*m.x5 - 1.78201304837674*m.x6
- 0.312868930080459*m.x7 + 1.41421356237309*m.x8 + 1.97537668119027*m.x9
+ 0.907980999479094*m.x10 - 0.907980999479096*m.x11 - 1.97537668119028*m.x12
- 1.41421356237309*m.x13 + 0.312868930080461*m.x14 + 1.78201304837674*m.x15
+ 1.78201304837674*m.x16 + 0.312868930080459*m.x17 - 1.4142135623731*m.x18
- 1.97537668119028*m.x19 - 0.907980999479093*m.x20 + 0.907980999479094*m.x21
+ 1.97537668119028*m.x22 + 1.41421356237309*m.x23 - 0.312868930080462*m.x24
- 1.78201304837674*m.x25 + m.x29 <= 0)
m.c150 = Constraint(expr= 0.0872387747306755*m.x1 + 1.68678289162577*m.x2 + 1.84775906502257*m.x3
+ 0.432879227876205*m.x4 - 1.35118041523132*m.x5 - 1.98288972274762*m.x6
- 0.92349722647007*m.x7 + 0.923497226470066*m.x8 + 1.98288972274762*m.x9
+ 1.35118041523132*m.x10 - 0.432879227876205*m.x11 - 1.84775906502257*m.x12
- 1.68678289162577*m.x13 - 0.0872387747306728*m.x14 + 1.58670668058247*m.x15
+ 1.90743390149645*m.x16 + 0.601411599008547*m.x17 - 1.21752285801744*m.x18
- 1.99809644316372*m.x19 - 1.07459921669365*m.x20 + 0.765366864730179*m.x21
+ 1.95259201423987*m.x22 + 1.47455467362025*m.x23 - 0.261052384440103*m.x24
- 1.77402166635644*m.x25 + m.x29 <= 0)
m.c151 = Constraint(expr= - 0.749213186831827*m.x1 + 1.1183858069415*m.x2 + 2*m.x3 + 1.11838580694149*m.x4
- 0.749213186831824*m.x5 - 1.95629520146761*m.x6 - 1.4386796006773*m.x7
+ 0.347296355333858*m.x8 + 1.8270909152852*m.x9 + 1.69609619231285*m.x10
+ 0.0697989934050036*m.x11 - 1.6180339887499*m.x12 - 1.87938524157182*m.x13
- 0.483843791199336*m.x14 + 1.33826121271772*m.x15 + 1.98053613748314*m.x16
+ 0.876742293578155*m.x17 - m.x18 - 1.99512810051965*m.x19 - 1.23132295065132*m.x20
+ 0.618033988749895*m.x21 + 1.92252339187664*m.x22 + 1.53208888623796*m.x23
- 0.209056926535307*m.x24 - 1.76589518571785*m.x25 + m.x29 <= 0)
m.c152 = Constraint(expr= - 1.45074874202458*m.x1 + 0.364471050984295*m.x2 + 1.84775906502257*m.x3
+ 1.64825237724403*m.x4 - 0.0523538966157446*m.x5 - 1.70528032870818*m.x6
- 1.80517056869972*m.x7 - 0.261052384440107*m.x8 + 1.52081193120006*m.x9
+ 1.91763946973639*m.x10 + 0.568030689407847*m.x11 - 1.29889609666037*m.x12
- 1.98288972274762*m.x13 - 0.861022193616591*m.x14 + 1.0449971294319*m.x15
+ 1.99931464995111*m.x16 + 1.13281247384966*m.x17 - 0.765366864730179*m.x18
- 1.96650981512791*m.x19 - 1.37670915138751*m.x20 + 0.46689072771181*m.x21
+ 1.88528298218436*m.x22 + 1.58670668058247*m.x23 - 0.15691819145569*m.x24
- 1.75763422532393*m.x25 + m.x29 <= 0)
m.c153 = Constraint(expr= - 1.89103715119863*m.x1 - 0.449902108687732*m.x2 + 1.4142135623731*m.x3
+ 1.94874012957047*m.x4 + 0.651136308914317*m.x5 - 1.25864078209967*m.x6
- 1.98509230328264*m.x7 - 0.845236523481403*m.x8 + 1.08927807003005*m.x9
+ 1.99969539031278*m.x10 + 1.03007614982011*m.x11 - 0.907980999479093*m.x12
- 1.99238939618349*m.x13 - 1.2036300463041*m.x14 + 0.716735899090599*m.x15
+ 1.96325436689533*m.x16 + 1.363996720125*m.x17 - 0.517638090205041*m.x18
- 1.91260951192607*m.x19 - 1.50941916044554*m.x20 + 0.31286893008046*m.x21
+ 1.84100970690488*m.x22 + 1.63830408857798*m.x23 - 0.104671912485887*m.x24
- 1.74923941427879*m.x25 + m.x29 <= 0)
m.c154 = Constraint(expr= - 1.99079239673436*m.x1 - 1.18964557350269*m.x2 + 0.765366864730175*m.x3
+ 1.97803172672383*m.x4 + 1.27215644055553*m.x5 - 0.667613718467537*m.x6
- 1.95984940924166*m.x7 - 1.35118041523132*m.x8 + 0.568030689407839*m.x9
+ 1.93629528075621*m.x10 + 1.42650089830837*m.x11 - 0.466890727711808*m.x12
- 1.90743390149645*m.x13 - 1.497911441578*m.x14 + 0.364471050984294*m.x15
+ 1.87334437849679*m.x16 + 1.56521631370483*m.x17 - 0.261052384440102*m.x18
- 1.83412014877025*m.x19 - 1.62823103671264*m.x20 + 0.156918191455689*m.x21
+ 1.78986872320405*m.x22 + 1.68678289162577*m.x23 - 0.0523538966157458*m.x24
- 1.7407113918798*m.x25 + m.x29 <= 0)
m.c155 = Constraint(expr= - 1.73205080756888*m.x1 - 1.73205080756887*m.x2 + 5.38968387752153E-15*m.x3
+ 1.73205080756888*m.x4 + 1.73205080756887*m.x5 - 5.14475451769206E-15*m.x6
- 1.73205080756888*m.x7 - 1.73205080756887*m.x8 + 4.89982515786259E-15*m.x9
+ 1.73205080756888*m.x10 + 1.73205080756888*m.x11 - 4.65489579803312E-15*m.x12
- 1.73205080756888*m.x13 - 1.73205080756888*m.x14 + 8.57252759403147E-16*m.x15
+ 1.73205080756888*m.x16 + 1.73205080756888*m.x17 - 2.38868023897393E-15*m.x18
- 1.73205080756888*m.x19 - 1.73205080756888*m.x20 + 3.67394039744206E-16*m.x21
+ 1.73205080756888*m.x22 + 1.73205080756888*m.x23 - 1.22464679914735E-16*m.x24
- 1.73205080756888*m.x25 + m.x29 <= 0)
m.c156 = Constraint(expr= - 1.16140591142188*m.x1 - 1.98714371135317*m.x2 - 0.765366864730179*m.x3
+ 1.24502927327524*m.x4 + 1.97257120307446*m.x5 + 0.667613718467541*m.x6
- 1.32524009643148*m.x7 - 1.95259201423987*m.x8 - 0.568030689407844*m.x9
+ 1.4018185285997*m.x10 + 1.92726090641725*m.x11 + 0.466890727711809*m.x12
- 1.47455467362025*m.x13 - 1.8966473104124*m.x14 - 0.364471050984293*m.x15
+ 1.54324916677544*m.x16 + 1.86083513596405*m.x17 + 0.261052384440102*m.x18
- 1.60771372123444*m.x19 - 1.81992254175309*m.x20 - 0.156918191455689*m.x21
+ 1.66777164413434*m.x22 + 1.77402166635644*m.x23 + 0.052353896615746*m.x24
- 1.72325832088305*m.x25 + m.x29 <= 0)
m.c157 = Constraint(expr= - 0.381617990753093*m.x1 - 1.91260951192607*m.x2 - 1.41421356237309*m.x3
+ 0.584743409445477*m.x4 + 1.96325436689533*m.x5 + 1.25864078209967*m.x6
- 0.781462256978552*m.x7 - 1.99238939618349*m.x8 - 1.08927807003005*m.x9
+ 0.969619240492673*m.x10 + 1.99969539031278*m.x11 + 0.907980999479091*m.x12
- 1.14715287270209*m.x13 - 1.98509230328264*m.x14 - 0.7167358990906*m.x15
+ 1.31211805798101*m.x16 + 1.94874012957047*m.x17 + 0.51763809020504*m.x18
- 1.46270740323834*m.x19 - 1.89103715119863*m.x20 - 0.312868930080461*m.x21
+ 1.59727102009459*m.x22 + 1.8126155740733*m.x23 + 0.104671912485887*m.x24
- 1.71433460140422*m.x25 + m.x29 <= 0)
m.c158 = Constraint(expr= 0.466890727711808*m.x1 - 1.52081193120006*m.x2 - 1.84775906502257*m.x3
- 0.156918191455685*m.x4 + 1.70528032870819*m.x5 + 1.70528032870818*m.x6
- 0.156918191455689*m.x7 - 1.84775906502258*m.x8 - 1.52081193120006*m.x9
+ 0.466890727711811*m.x10 + 1.94473984079535*m.x11 + 1.29889609666037*m.x12
- 0.765366864730181*m.x13 - 1.99383466746626*m.x14 - 1.0449971294319*m.x15
+ 1.0449971294319*m.x16 + 1.99383466746626*m.x17 + 0.76536686473018*m.x18
- 1.29889609666037*m.x19 - 1.94473984079535*m.x20 - 0.46689072771181*m.x21
+ 1.52081193120006*m.x22 + 1.84775906502257*m.x23 + 0.15691819145569*m.x24
- 1.70528032870818*m.x25 + m.x29 <= 0)
m.c159 = Constraint(expr= 1.23132295065131*m.x1 - 0.876742293578154*m.x2 - 2*m.x3 - 0.876742293578157*m.x4
+ 1.23132295065132*m.x5 + 1.95629520146761*m.x6 + 0.483843791199335*m.x7
- 1.53208888623796*m.x8 - 1.8270909152852*m.x9 - 0.0697989934049998*m.x10
+ 1.76589518571785*m.x11 + 1.61803398874989*m.x12 - 0.347296355333861*m.x13
- 1.92252339187664*m.x14 - 1.33826121271772*m.x15 + 0.749213186831823*m.x16
+ 1.99512810051965*m.x17 + 0.999999999999998*m.x18 - 1.11838580694149*m.x19
- 1.98053613748314*m.x20 - 0.618033988749894*m.x21 + 1.4386796006773*m.x22
+ 1.87938524157182*m.x23 + 0.209056926535307*m.x24 - 1.69609619231285*m.x25 + m.x29 <= 0)
m.c160 = Constraint(expr= 1.77402166635644*m.x1 - 0.0872387747306687*m.x2 - 1.84775906502257*m.x3
- 1.47455467362025*m.x4 + 0.601411599008546*m.x5 + 1.98288972274762*m.x6
+ 1.07459921669365*m.x7 - 1.07459921669365*m.x8 - 1.98288972274762*m.x9
- 0.601411599008549*m.x10 + 1.47455467362025*m.x11 + 1.84775906502257*m.x12
+ 0.0872387747306726*m.x13 - 1.77402166635644*m.x14 - 1.58670668058247*m.x15
+ 0.432879227876204*m.x16 + 1.95259201423987*m.x17 + 1.21752285801744*m.x18
- 0.923497226470067*m.x19 - 1.99809644316372*m.x20 - 0.76536686473018*m.x21
+ 1.35118041523132*m.x22 + 1.90743390149645*m.x23 + 0.261052384440103*m.x24
- 1.68678289162577*m.x25 + m.x29 <= 0)
m.c161 = Constraint(expr= 1.99725906950915*m.x1 + 0.716735899090599*m.x2 - 1.4142135623731*m.x3 - 1.8671608529944*m.x4
- 0.10467191248589*m.x5 + 1.78201304837673*m.x6 + 1.55429192291394*m.x7
- 0.517638090205042*m.x8 - 1.97537668119028*m.x9 - 1.08927807003006*m.x10
+ 1.08927807003005*m.x11 + 1.97537668119028*m.x12 + 0.517638090205043*m.x13
- 1.55429192291394*m.x14 - 1.78201304837674*m.x15 + 0.104671912485886*m.x16
+ 1.8671608529944*m.x17 + 1.4142135623731*m.x18 - 0.7167358990906*m.x19
- 1.99725906950915*m.x20 - 0.907980999479093*m.x21 + 1.25864078209967*m.x22
+ 1.93185165257814*m.x23 + 0.312868930080462*m.x24 - 1.67734113589085*m.x25 + m.x29 <= 0)
m.c162 = Constraint(expr= 1.86083513596405*m.x1 + 1.4018185285997*m.x2 - 0.765366864730176*m.x3
- 1.99992384612834*m.x4 - 0.797498137850496*m.x5 + 1.37670915138751*m.x6
+ 1.8733443784968*m.x7 + 0.0872387747306721*m.x8 - 1.80517056869972*m.x9
- 1.497911441578*m.x10 + 0.634609312810181*m.x11 + 1.99383466746626*m.x12
+ 0.923497226470071*m.x13 - 1.27215644055553*m.x14 - 1.91763946973639*m.x15
- 0.226406427535813*m.x16 + 1.7407113918798*m.x17 + 1.58670668058247*m.x18
- 0.500760008108882*m.x19 - 1.97803172672383*m.x20 - 1.0449971294319*m.x21
+ 1.16140591142188*m.x22 + 1.95259201423987*m.x23 + 0.364471050984295*m.x24
- 1.66777164413434*m.x25 + m.x29 <= 0)
m.c163 = Constraint(expr= 1.38931674091799*m.x1 + 1.85436770913358*m.x2 + 1.47081412025E-15*m.x3
- 1.85436770913357*m.x4 - 1.389316740918*m.x5 + 0.813473286151597*m.x6 + 1.99878165403819*m.x7
+ 0.684040286651339*m.x8 - 1.48628965095479*m.x9 - 1.79758809259834*m.x10
+ 0.139512947488247*m.x11 + 1.90211303259031*m.x12 + 1.28557521937308*m.x13
- 0.938943125571779*m.x14 - 1.98904379073655*m.x15 - 0.551274711633998*m.x16
+ 1.57602150721344*m.x17 + 1.73205080756888*m.x18 - 0.27834620192013*m.x19
- 1.94059145255199*m.x20 - 1.17557050458495*m.x21 + 1.05983852846641*m.x22
+ 1.96961550602442*m.x23 + 0.415823381635519*m.x24 - 1.65807514511008*m.x25 + m.x29 <= 0)
m.c164 = Constraint(expr= 0.667613718467544*m.x1 + 1.99931464995111*m.x2 + 0.765366864730172*m.x3
- 1.45074874202458*m.x4 - 1.80517056869972*m.x5 + 0.156918191455696*m.x6
+ 1.91763946973639*m.x7 + 1.21752285801744*m.x8 - 1.0449971294319*m.x9
- 1.96650981512791*m.x10 - 0.364471050984292*m.x11 + 1.70528032870819*m.x12
+ 1.58670668058247*m.x13 - 0.568030689407849*m.x14 - 1.99383466746626*m.x15
- 0.861022193616588*m.x16 + 1.37670915138751*m.x17 + 1.84775906502257*m.x18
- 0.0523538966157472*m.x19 - 1.88528298218436*m.x20 - 1.29889609666037*m.x21
+ 0.954317520519217*m.x22 + 1.98288972274762*m.x23 + 0.466890727711811*m.x24
- 1.64825237724403*m.x25 + m.x29 <= 0)
m.c165 = Constraint(expr= - 0.174311485495314*m.x1 + 1.8126155740733*m.x2 + 1.41421356237309*m.x3 - 0.8452365234814*m.x4
- 1.99238939618349*m.x5 - 0.517638090205039*m.x6 + 1.63830408857799*m.x7
+ 1.63830408857798*m.x8 - 0.517638090205042*m.x9 - 1.99238939618349*m.x10
- 0.845236523481397*m.x11 + 1.41421356237309*m.x12 + 1.8126155740733*m.x13
- 0.174311485495317*m.x14 - 1.93185165257814*m.x15 - 1.14715287270209*m.x16
+ 1.14715287270209*m.x17 + 1.93185165257814*m.x18 + 0.174311485495316*m.x19
- 1.8126155740733*m.x20 - 1.41421356237309*m.x21 + 0.8452365234814*m.x22
+ 1.99238939618349*m.x23 + 0.517638090205041*m.x24 - 1.63830408857798*m.x25 + m.x29 <= 0)
m.c166 = Constraint(expr= - 0.984847120206932*m.x1 + 1.32524009643148*m.x2 + 1.84775906502257*m.x3
- 0.122097079069715*m.x4 - 1.92726090641725*m.x5 - 1.13281247384966*m.x6
+ 1.18964557350268*m.x7 + 1.90743390149645*m.x8 + 0.0523538966157415*m.x9
- 1.8733443784968*m.x10 - 1.27215644055553*m.x11 + 1.0449971294319*m.x12
+ 1.95259201423987*m.x13 + 0.226406427535812*m.x14 - 1.80517056869972*m.x15
- 1.4018185285997*m.x16 + 0.892395626219618*m.x17 + 1.98288972274762*m.x18
+ 0.398735868834394*m.x19 - 1.72325832088305*m.x20 - 1.52081193120006*m.x21
+ 0.733002453448594*m.x22 + 1.99809644316372*m.x23 + 0.568030689407845*m.x24
- 1.62823103671264*m.x25 + m.x29 <= 0)
m.c167 = Constraint(expr= - 1.61803398874989*m.x1 + 0.618033988749897*m.x2 + 2*m.x3 + 0.618033988749893*m.x4
- 1.6180339887499*m.x5 - 1.61803398874989*m.x6 + 0.618033988749897*m.x7 + 2*m.x8
+ 0.618033988749893*m.x9 - 1.6180339887499*m.x10 - 1.61803398874989*m.x11
+ 0.618033988749896*m.x12 + 2*m.x13 + 0.618033988749894*m.x14 - 1.6180339887499*m.x15
- 1.61803398874989*m.x16 + 0.618033988749896*m.x17 + 2*m.x18 + 0.618033988749894*m.x19
- 1.6180339887499*m.x20 - 1.61803398874989*m.x21 + 0.618033988749895*m.x22 + 2*m.x23
+ 0.618033988749895*m.x24 - 1.61803398874989*m.x25 + m.x29 <= 0)
m.c168 = Constraint(expr= - 1.95984940924166*m.x1 - 0.191691505040448*m.x2 + 1.84775906502257*m.x3
+ 1.27215644055553*m.x4 - 1.10387397062412*m.x5 - 1.91763946973639*m.x6
- 0.0174530709967449*m.x7 + 1.90743390149645*m.x8 + 1.13281247384967*m.x9
- 1.24502927327524*m.x10 - 1.86083513596405*m.x11 + 0.156918191455689*m.x12
+ 1.95259201423987*m.x13 + 0.984847120206933*m.x14 - 1.37670915138751*m.x15
- 1.78986872320405*m.x16 + 0.330095211721357*m.x17 + 1.98288972274762*m.x18
+ 0.829386485312478*m.x19 - 1.497911441578*m.x20 - 1.70528032870818*m.x21
+ 0.500760008108884*m.x22 + 1.99809644316372*m.x23 + 0.667613718467542*m.x24
- 1.60771372123443*m.x25 + m.x29 <= 0)
m.c169 = Constraint(expr= - 1.94874012957047*m.x1 - 0.969619240492676*m.x2 + 1.4142135623731*m.x3
+ 1.74923941427879*m.x4 - 0.449902108687729*m.x5 - 1.99725906950915*m.x6
- 0.651136308914316*m.x7 + 1.63830408857798*m.x8 + 1.55429192291394*m.x9
- 0.781462256978546*m.x10 - 1.98509230328264*m.x11 - 0.312868930080459*m.x12
+ 1.8126155740733*m.x13 + 1.31211805798101*m.x14 - 1.08927807003005*m.x15
- 1.91260951192607*m.x16 + 0.0349048128745657*m.x17 + 1.93185165257814*m.x18
+ 1.03007614982011*m.x19 - 1.363996720125*m.x20 - 1.78201304837674*m.x21
+ 0.381617990753089*m.x22 + 1.99238939618349*m.x23 + 0.716735899090601*m.x24
- 1.59727102009459*m.x25 + m.x29 <= 0)
m.c170 = Constraint(expr= - 1.58670668058247*m.x1 - 1.58670668058247*m.x2 + 0.765366864730176*m.x3
+ 1.98288972274762*m.x4 + 0.261052384440106*m.x5 - 1.84775906502257*m.x6
- 1.21752285801744*m.x7 + 1.21752285801744*m.x8 + 1.84775906502257*m.x9
- 0.261052384440103*m.x10 - 1.98288972274762*m.x11 - 0.765366864730179*m.x12
+ 1.58670668058247*m.x13 + 1.58670668058247*m.x14 - 0.765366864730178*m.x15
- 1.98288972274762*m.x16 - 0.261052384440104*m.x17 + 1.84775906502257*m.x18
+ 1.21752285801744*m.x19 - 1.21752285801744*m.x20 - 1.84775906502257*m.x21
+ 0.261052384440103*m.x22 + 1.98288972274762*m.x23 + 0.765366864730179*m.x24
- 1.58670668058247*m.x25 + m.x29 <= 0)
m.c171 = Constraint(expr= - 0.938943125571777*m.x1 - 1.94059145255199*m.x2 - 1.22588476042053E-15*m.x3
+ 1.94059145255199*m.x4 + 0.938943125571786*m.x5 - 1.48628965095479*m.x6
- 1.65807514511008*m.x7 + 0.684040286651335*m.x8 + 1.98904379073655*m.x9
+ 0.27834620192013*m.x10 - 1.85436770913357*m.x11 - 1.17557050458495*m.x12
+ 1.28557521937308*m.x13 + 1.79758809259833*m.x14 - 0.415823381635519*m.x15
- 1.99878165403819*m.x16 - 0.551274711633998*m.x17 + 1.73205080756888*m.x18
+ 1.38931674091799*m.x19 - 1.05983852846641*m.x20 - 1.90211303259031*m.x21
+ 0.139512947488249*m.x22 + 1.96961550602442*m.x23 + 0.813473286151601*m.x24
- 1.57602150721344*m.x25 + m.x29 <= 0)
m.c172 = Constraint(expr= - 0.122097079069716*m.x1 - 1.97257120307446*m.x2 - 0.765366864730185*m.x3
+ 1.62823103671264*m.x4 + 1.49791144157801*m.x5 - 0.954317520519214*m.x6
- 1.92726090641725*m.x7 + 0.0872387747306684*m.x8 + 1.96650981512791*m.x9
+ 0.797498137850496*m.x10 - 1.60771372123443*m.x11 - 1.52081193120006*m.x12
+ 0.923497226470066*m.x13 + 1.93629528075622*m.x14 - 0.0523538966157441*m.x15
- 1.95984940924166*m.x16 - 0.829386485312481*m.x17 + 1.58670668058247*m.x18
+ 1.54324916677544*m.x19 - 0.892395626219618*m.x20 - 1.94473984079535*m.x21
+ 0.0174530709967472*m.x22 + 1.95259201423987*m.x23 + 0.861022193616591*m.x24
- 1.56521631370483*m.x25 + m.x29 <= 0)
m.c173 = Constraint(expr= 0.716735899090592*m.x1 - 1.67734113589085*m.x2 - 1.41421356237309*m.x3
+ 1.08927807003006*m.x4 + 1.8671608529944*m.x5 - 0.312868930080469*m.x6
- 1.99725906950915*m.x7 - 0.517638090205039*m.x8 + 1.78201304837674*m.x9
+ 1.25864078209967*m.x10 - 1.25864078209968*m.x11 - 1.78201304837673*m.x12
+ 0.517638090205042*m.x13 + 1.99725906950915*m.x14 + 0.312868930080459*m.x15
- 1.8671608529944*m.x16 - 1.08927807003005*m.x17 + 1.4142135623731*m.x18
+ 1.67734113589085*m.x19 - 0.716735899090602*m.x20 - 1.97537668119028*m.x21
- 0.104671912485886*m.x22 + 1.93185165257814*m.x23 + 0.907980999479093*m.x24
- 1.55429192291394*m.x25 + m.x29 <= 0)
m.c174 = Constraint(expr= 1.42650089830836*m.x1 - 1.10387397062412*m.x2 - 1.84775906502257*m.x3 + 0.3987358688344*m.x4
+ 1.99992384612834*m.x5 + 0.364471050984291*m.x6 - 1.86083513596405*m.x7
- 1.07459921669365*m.x8 + 1.45074874202458*m.x9 + 1.62823103671263*m.x10
- 0.829386485312483*m.x11 - 1.94473984079535*m.x12 + 0.087238774730675*m.x13
+ 1.97803172672383*m.x14 + 0.667613718467541*m.x15 - 1.72325832088305*m.x16
- 1.32524009643147*m.x17 + 1.21752285801744*m.x18 + 1.78986872320405*m.x19
- 0.534476752156514*m.x20 - 1.99383466746626*m.x21 - 0.226406427535813*m.x22
+ 1.90743390149645*m.x23 + 0.954317520519217*m.x24 - 1.54324916677544*m.x25 + m.x29 <= 0)
m.c175 = Constraint(expr= 1.87938524157181*m.x1 - 0.347296355333866*m.x2 - 2*m.x3 - 0.347296355333855*m.x4
+ 1.87938524157182*m.x5 + m.x6 - 1.53208888623796*m.x7 - 1.53208888623796*m.x8 + m.x9
+ 1.87938524157182*m.x10 - 0.347296355333865*m.x11 - 2*m.x12 - 0.347296355333855*m.x13
+ 1.87938524157182*m.x14 + 0.999999999999998*m.x15 - 1.53208888623796*m.x16
- 1.53208888623795*m.x17 + m.x18 + 1.87938524157182*m.x19 - 0.347296355333861*m.x20 - 2*m.x21
- 0.34729635533386*m.x22 + 1.87938524157182*m.x23 + m.x24 - 1.53208888623796*m.x25 + m.x29
<= 0)
m.c176 = Constraint(expr= 1.99383466746626*m.x1 + 0.466890727711807*m.x2 - 1.84775906502258*m.x3
- 1.0449971294319*m.x4 + 1.52081193120006*m.x5 + 1.52081193120006*m.x6 - 1.0449971294319*m.x7
- 1.84775906502257*m.x8 + 0.466890727711812*m.x9 + 1.99383466746626*m.x10
+ 0.156918191455686*m.x11 - 1.94473984079535*m.x12 - 0.765366864730179*m.x13
+ 1.70528032870819*m.x14 + 1.29889609666037*m.x15 - 1.29889609666037*m.x16
- 1.70528032870818*m.x17 + 0.765366864730181*m.x18 + 1.94473984079535*m.x19
- 0.156918191455691*m.x20 - 1.99383466746626*m.x21 - 0.46689072771181*m.x22
+ 1.84775906502257*m.x23 + 1.0449971294319*m.x24 - 1.52081193120006*m.x25 + m.x29 <= 0)
m.c177 = Constraint(expr= 1.74923941427879*m.x1 + 1.2036300463041*m.x2 - 1.4142135623731*m.x3 - 1.59727102009459*m.x4
+ 0.969619240492674*m.x5 + 1.8671608529944*m.x6 - 0.449902108687729*m.x7
- 1.99238939618349*m.x8 - 0.10467191248589*m.x9 + 1.96325436689533*m.x10
+ 0.65113630891431*m.x11 - 1.78201304837674*m.x12 - 1.14715287270209*m.x13
+ 1.46270740323834*m.x14 + 1.55429192291394*m.x15 - 1.03007614982011*m.x16
- 1.84100970690488*m.x17 + 0.517638090205042*m.x18 + 1.98509230328264*m.x19
+ 0.034904812874566*m.x20 - 1.97537668119028*m.x21 - 0.584743409445473*m.x22
+ 1.8126155740733*m.x23 + 1.08927807003005*m.x24 - 1.50941916044554*m.x25 + m.x29 <= 0)
m.c178 = Constraint(expr= 1.18964557350268*m.x1 + 1.7407113918798*m.x2 - 0.765366864730176*m.x3
- 1.92726090641725*m.x4 + 0.295618822259219*m.x5 + 1.99931464995111*m.x6
+ 0.191691505040448*m.x7 - 1.95259201423987*m.x8 - 0.66761371846754*m.x9
+ 1.78986872320405*m.x10 + 1.10387397062411*m.x11 - 1.52081193120006*m.x12
- 1.47455467362025*m.x13 + 1.16140591142188*m.x14 + 1.75763422532393*m.x15
- 0.733002453448595*m.x16 - 1.93629528075622*m.x17 + 0.261052384440102*m.x18
+ 1.99992384612834*m.x19 + 0.226406427535813*m.x20 - 1.94473984079535*m.x21
- 0.700414762518934*m.x22 + 1.77402166635644*m.x23 + 1.13281247384967*m.x24
- 1.497911441578*m.x25 + m.x29 <= 0)
m.c179 = Constraint(expr= 0.415823381635513*m.x1 + 1.98904379073655*m.x2 + 9.80955400591059E-16*m.x3
- 1.98904379073655*m.x4 - 0.415823381635522*m.x5 + 1.90211303259031*m.x6
+ 0.8134732861516*m.x7 - 1.73205080756888*m.x8 - 1.17557050458495*m.x9
+ 1.48628965095479*m.x10 + 1.48628965095479*m.x11 - 1.17557050458494*m.x12
- 1.73205080756888*m.x13 + 0.813473286151603*m.x14 + 1.90211303259031*m.x15
- 0.415823381635519*m.x16 - 1.98904379073655*m.x17 + 8.57252759403147E-16*m.x18
+ 1.98904379073655*m.x19 + 0.41582338163552*m.x20 - 1.90211303259031*m.x21
- 0.813473286151601*m.x22 + 1.73205080756888*m.x23 + 1.17557050458495*m.x24
- 1.48628965095479*m.x25 + m.x29 <= 0)
m.c180 = Constraint(expr= - 0.432879227876204*m.x1 + 1.90743390149645*m.x2 + 0.765366864730178*m.x3
- 1.77402166635644*m.x4 - 1.07459921669365*m.x5 + 1.58670668058247*m.x6
+ 1.35118041523132*m.x7 - 1.35118041523132*m.x8 - 1.58670668058247*m.x9
+ 1.07459921669364*m.x10 + 1.77402166635644*m.x11 - 0.765366864730175*m.x12
- 1.90743390149645*m.x13 + 0.432879227876201*m.x14 + 1.98288972274762*m.x15
- 0.0872387747306712*m.x16 - 1.99809644316372*m.x17 - 0.261052384440104*m.x18
+ 1.95259201423987*m.x19 + 0.601411599008547*m.x20 - 1.84775906502257*m.x21
- 0.923497226470068*m.x22 + 1.68678289162577*m.x23 + 1.21752285801744*m.x24
- 1.47455467362025*m.x25 + m.x29 <= 0)
m.c181 = Constraint(expr= - 1.2036300463041*m.x1 + 1.50941916044554*m.x2 + 1.4142135623731*m.x3 - 1.31211805798102*m.x4
- 1.59727102009459*m.x5 + 1.08927807003005*m.x6 + 1.74923941427879*m.x7 - 0.8452365234814*m.x8
- 1.8671608529944*m.x9 + 0.58474340944547*m.x10 + 1.94874012957047*m.x11
- 0.312868930080462*m.x12 - 1.99238939618349*m.x13 + 0.0349048128745626*m.x14
+ 1.99725906950915*m.x15 + 0.243738686810296*m.x16 - 1.96325436689533*m.x17
- 0.517638090205044*m.x18 + 1.89103715119863*m.x19 + 0.781462256978547*m.x20
- 1.78201304837674*m.x21 - 1.03007614982011*m.x22 + 1.63830408857798*m.x23
+ 1.25864078209968*m.x24 - 1.46270740323834*m.x25 + m.x29 <= 0)
m.c182 = Constraint(expr= - 1.75763422532393*m.x1 + 0.861022193616594*m.x2 + 1.84775906502257*m.x3
- 0.667613718467551*m.x4 - 1.91763946973638*m.x5 + 0.466890727711819*m.x6
+ 1.96650981512791*m.x7 - 0.26105238444011*m.x8 - 1.99383466746626*m.x9
+ 0.052353896615752*m.x10 + 1.99931464995111*m.x11 + 0.156918191455686*m.x12
- 1.98288972274762*m.x13 - 0.364471050984292*m.x14 + 1.94473984079535*m.x15
+ 0.568030689407844*m.x16 - 1.88528298218436*m.x17 - 0.765366864730176*m.x18
+ 1.80517056869972*m.x19 + 0.954317520519215*m.x20 - 1.70528032870819*m.x21
- 1.13281247384966*m.x22 + 1.58670668058247*m.x23 + 1.29889609666037*m.x24
- 1.45074874202458*m.x25 + m.x29 <= 0)
m.c183 = Constraint(expr= - 1.99512810051965*m.x1 + 0.069798993405004*m.x2 + 2*m.x3 + 0.0697989934049986*m.x4
- 1.99512810051965*m.x5 - 0.209056926535302*m.x6 + 1.98053613748314*m.x7
+ 0.347296355333855*m.x8 - 1.95629520146761*m.x9 - 0.483843791199335*m.x10
+ 1.92252339187664*m.x11 + 0.618033988749893*m.x12 - 1.87938524157182*m.x13
- 0.749213186831821*m.x14 + 1.8270909152852*m.x15 + 0.876742293578154*m.x16
- 1.76589518571785*m.x17 - 0.999999999999998*m.x18 + 1.69609619231285*m.x19
+ 1.11838580694149*m.x20 - 1.6180339887499*m.x21 - 1.23132295065132*m.x22
+ 1.53208888623796*m.x23 + 1.33826121271772*m.x24 - 1.4386796006773*m.x25 + m.x29 <= 0)
m.c184 = Constraint(expr= - 1.8733443784968*m.x1 - 0.733002453448595*m.x2 + 1.84775906502257*m.x3
+ 0.797498137850495*m.x4 - 1.81992254175309*m.x5 - 0.861022193616589*m.x6
+ 1.78986872320405*m.x7 + 0.923497226470063*m.x8 - 1.75763422532393*m.x9
- 0.984847120206933*m.x10 + 1.72325832088305*m.x11 + 1.0449971294319*m.x12
- 1.68678289162577*m.x13 - 1.10387397062411*m.x14 + 1.64825237724403*m.x15
+ 1.16140591142188*m.x16 - 1.60771372123444*m.x17 - 1.21752285801744*m.x18
+ 1.56521631370483*m.x19 + 1.27215644055553*m.x20 - 1.52081193120006*m.x21
- 1.32524009643148*m.x22 + 1.47455467362025*m.x23 + 1.37670915138751*m.x24
- 1.42650089830836*m.x25 + m.x29 <= 0)
m.c185 = Constraint(expr= - 1.4142135623731*m.x1 - 1.4142135623731*m.x2 + 1.4142135623731*m.x3 + 1.41421356237309*m.x4
- 1.4142135623731*m.x5 - 1.41421356237309*m.x6 + 1.4142135623731*m.x7 + 1.41421356237309*m.x8
- 1.4142135623731*m.x9 - 1.41421356237309*m.x10 + 1.4142135623731*m.x11
+ 1.41421356237309*m.x12 - 1.41421356237309*m.x13 - 1.41421356237309*m.x14
+ 1.41421356237309*m.x15 + 1.41421356237309*m.x16 - 1.41421356237309*m.x17
- 1.41421356237309*m.x18 + 1.41421356237309*m.x19 + 1.41421356237309*m.x20
- 1.4142135623731*m.x21 - 1.41421356237309*m.x22 + 1.4142135623731*m.x23
+ 1.41421356237309*m.x24 - 1.4142135623731*m.x25 + m.x29 <= 0)
m.c186 = Constraint(expr= - 1.00000000000001*m.x1 - 0.999999999999986*m.x2 + 2*m.x3 - 1.00000000000001*m.x4
- 0.999999999999987*m.x5 + 2*m.x6 - m.x7 - 0.999999999999987*m.x8 + 2*m.x9 - m.x10
- 0.999999999999994*m.x11 + 2*m.x12 - m.x13 - 0.999999999999994*m.x14 + 2*m.x15 - m.x16
- 0.999999999999995*m.x17 + 2*m.x18 - m.x19 - 0.999999999999998*m.x20 + 2*m.x21 - m.x22
- m.x23 + 2*m.x24 - m.x25 <= 0.01)
m.c187 = Constraint(expr= - 0.191691505040447*m.x1 - 1.60771372123444*m.x2 + 1.84775906502257*m.x3
- 0.295618822259221*m.x4 - 1.54324916677544*m.x5 + 1.88528298218436*m.x6
- 0.398735868834394*m.x7 - 1.47455467362025*m.x8 + 1.91763946973639*m.x9
- 0.500760008108882*m.x10 - 1.4018185285997*m.x11 + 1.94473984079535*m.x12
- 0.601411599008546*m.x13 - 1.32524009643148*m.x14 + 1.96650981512791*m.x15
- 0.700414762518935*m.x16 - 1.24502927327524*m.x17 + 1.98288972274762*m.x18
- 0.797498137850492*m.x19 - 1.16140591142188*m.x20 + 1.99383466746626*m.x21
- 0.892395626219618*m.x22 - 1.07459921669365*m.x23 + 1.99931464995111*m.x24
- 0.984847120206934*m.x25 <= 0.01)
m.c188 = Constraint(expr= 0.651136308914307*m.x1 - 1.94874012957047*m.x2 + 1.4142135623731*m.x3
+ 0.449902108687723*m.x4 - 1.89103715119863*m.x5 + 1.55429192291394*m.x6
+ 0.243738686810287*m.x7 - 1.81261557407329*m.x8 + 1.67734113589085*m.x9
+ 0.0349048128745587*m.x10 - 1.71433460140422*m.x11 + 1.78201304837674*m.x12
- 0.174311485495318*m.x13 - 1.59727102009458*m.x14 + 1.86716085299441*m.x15
- 0.381617990753092*m.x16 - 1.46270740323834*m.x17 + 1.93185165257814*m.x18
- 0.584743409445477*m.x19 - 1.31211805798101*m.x20 + 1.97537668119028*m.x21
- 0.781462256978548*m.x22 - 1.14715287270209*m.x23 + 1.99725906950915*m.x24
- 0.969619240492674*m.x25 <= 0.01)
m.c189 = Constraint(expr= 1.37670915138751*m.x1 - 1.96650981512791*m.x2 + 0.765366864730171*m.x3
+ 1.13281247384967*m.x4 - 1.99931464995111*m.x5 + 1.04499712943189*m.x6
+ 0.861022193616589*m.x7 - 1.98288972274762*m.x8 + 1.29889609666036*m.x9
+ 0.568030689407843*m.x10 - 1.91763946973639*m.x11 + 1.52081193120006*m.x12
+ 0.261052384440106*m.x13 - 1.80517056869972*m.x14 + 1.70528032870818*m.x15
- 0.0523538966157446*m.x16 - 1.64825237724403*m.x17 + 1.84775906502257*m.x18
- 0.364471050984295*m.x19 - 1.45074874202458*m.x20 + 1.94473984079535*m.x21
- 0.667613718467541*m.x22 - 1.21752285801744*m.x23 + 1.99383466746626*m.x24
- 0.954317520519217*m.x25 <= 0.01)
m.c190 = Constraint(expr= 1.85436770913357*m.x1 - 1.65807514511009*m.x2 + 7.3491187561573E-15*m.x3
+ 1.65807514511008*m.x4 - 1.85436770913358*m.x5 + 0.415823381635528*m.x6
+ 1.38931674091799*m.x7 - 1.96961550602442*m.x8 + 0.813473286151611*m.x9
+ 1.05983852846641*m.x10 - 1.99878165403819*m.x11 + 1.17557050458495*m.x12
+ 0.684040286651331*m.x13 - 1.94059145255199*m.x14 + 1.48628965095479*m.x15
+ 0.27834620192013*m.x16 - 1.79758809259833*m.x17 + 1.73205080756888*m.x18
- 0.139512947488254*m.x19 - 1.57602150721344*m.x20 + 1.90211303259031*m.x21
- 0.551274711634*m.x22 - 1.28557521937308*m.x23 + 1.98904379073655*m.x24
- 0.938943125571782*m.x25 <= 0.01)
m.c191 = Constraint(expr= 1.99809644316372*m.x1 - 1.07459921669364*m.x2 - 0.765366864730183*m.x3
+ 1.95259201423987*m.x4 - 1.47455467362024*m.x5 - 0.261052384440105*m.x6
+ 1.77402166635645*m.x7 - 1.77402166635644*m.x8 + 0.261052384440104*m.x9
+ 1.47455467362025*m.x10 - 1.95259201423987*m.x11 + 0.765366864730176*m.x12
+ 1.07459921669365*m.x13 - 1.99809644316372*m.x14 + 1.21752285801744*m.x15
+ 0.601411599008549*m.x16 - 1.90743390149646*m.x17 + 1.58670668058247*m.x18
+ 0.0872387747306726*m.x19 - 1.68678289162577*m.x20 + 1.84775906502257*m.x21
- 0.432879227876204*m.x22 - 1.35118041523132*m.x23 + 1.98288972274762*m.x24
- 0.923497226470068*m.x25 <= 0.01)
m.c192 = Constraint(expr= 1.78201304837674*m.x1 - 0.312868930080464*m.x2 - 1.4142135623731*m.x3
+ 1.97537668119028*m.x4 - 0.907980999479098*m.x5 - 0.907980999479092*m.x6
+ 1.97537668119028*m.x7 - 1.4142135623731*m.x8 - 0.312868930080457*m.x9
+ 1.78201304837674*m.x10 - 1.78201304837674*m.x11 + 0.312868930080462*m.x12
+ 1.41421356237309*m.x13 - 1.97537668119028*m.x14 + 0.907980999479097*m.x15
+ 0.907980999479094*m.x16 - 1.97537668119027*m.x17 + 1.41421356237309*m.x18
+ 0.312868930080459*m.x19 - 1.78201304837674*m.x20 + 1.78201304837674*m.x21
- 0.312868930080462*m.x22 - 1.41421356237309*m.x23 + 1.97537668119028*m.x24
- 0.907980999479094*m.x25 <= 0.01)
m.c193 = Constraint(expr= 1.24502927327524*m.x1 + 0.500760008108897*m.x2 - 1.84775906502258*m.x3
+ 1.72325832088305*m.x4 - 0.226406427535803*m.x5 - 1.45074874202458*m.x6
+ 1.97257120307446*m.x7 - 0.923497226470062*m.x8 - 0.861022193616595*m.x9
+ 1.95984940924166*m.x10 - 1.497911441578*m.x11 - 0.156918191455692*m.x12
+ 1.68678289162577*m.x13 - 1.87334437849679*m.x14 + 0.56803068940784*m.x15
+ 1.18964557350269*m.x16 - 1.99992384612834*m.x17 + 1.21752285801744*m.x18
+ 0.534476752156514*m.x19 - 1.86083513596405*m.x20 + 1.70528032870818*m.x21
- 0.191691505040447*m.x22 - 1.47455467362025*m.x23 + 1.96650981512791*m.x24
- 0.892395626219617*m.x25 <= 0.01)
m.c194 = Constraint(expr= 0.483843791199341*m.x1 + 1.23132295065132*m.x2 - 2*m.x3 + 1.23132295065131*m.x4
+ 0.483843791199334*m.x5 - 1.8270909152852*m.x6 + 1.76589518571785*m.x7
- 0.347296355333867*m.x8 - 1.33826121271772*m.x9 + 1.99512810051965*m.x10
- 1.11838580694149*m.x11 - 0.618033988749893*m.x12 + 1.87938524157182*m.x13
- 1.69609619231285*m.x14 + 0.209056926535306*m.x15 + 1.4386796006773*m.x16
- 1.98053613748314*m.x17 + m.x18 + 0.749213186831825*m.x19 - 1.92252339187664*m.x20
+ 1.6180339887499*m.x21 - 0.0697989934050018*m.x22 - 1.53208888623796*m.x23
+ 1.95629520146761*m.x24 - 0.876742293578155*m.x25 <= 0.01)
m.c195 = Constraint(expr= - 0.364471050984282*m.x1 + 1.75763422532393*m.x2 - 1.84775906502258*m.x3
+ 0.568030689407849*m.x4 + 1.13281247384965*m.x5 - 1.99383466746626*m.x6
+ 1.37670915138751*m.x7 + 0.261052384440098*m.x8 - 1.70528032870818*m.x9
+ 1.88528298218436*m.x10 - 0.667613718467551*m.x11 - 1.04499712943189*m.x12
+ 1.98288972274762*m.x13 - 1.45074874202458*m.x14 - 0.156918191455685*m.x15
+ 1.64825237724403*m.x16 - 1.91763946973639*m.x17 + 0.765366864730182*m.x18
+ 0.954317520519214*m.x19 - 1.96650981512791*m.x20 + 1.52081193120006*m.x21
+ 0.0523538966157442*m.x22 - 1.58670668058247*m.x23 + 1.94473984079535*m.x24
- 0.86102219361659*m.x25 <= 0.01)
m.c196 = Constraint(expr= - 1.14715287270209*m.x1 + 1.99238939618349*m.x2 - 1.41421356237309*m.x3
- 0.174311485495319*m.x4 + 1.63830408857798*m.x5 - 1.93185165257814*m.x6
+ 0.845236523481401*m.x7 + 0.845236523481395*m.x8 - 1.93185165257814*m.x9
+ 1.63830408857798*m.x10 - 0.174311485495312*m.x11 - 1.4142135623731*m.x12
+ 1.99238939618349*m.x13 - 1.14715287270209*m.x14 - 0.517638090205039*m.x15
+ 1.8126155740733*m.x16 - 1.8126155740733*m.x17 + 0.517638090205042*m.x18
+ 1.14715287270209*m.x19 - 1.99238939618349*m.x20 + 1.41421356237309*m.x21
+ 0.174311485495316*m.x22 - 1.63830408857798*m.x23 + 1.93185165257814*m.x24
- 0.845236523481399*m.x25 <= 0.01)
m.c197 = Constraint(expr= - 1.72325832088304*m.x1 + 1.8966473104124*m.x2 - 0.765366864730191*m.x3
- 0.892395626219614*m.x4 + 1.93629528075621*m.x5 - 1.64825237724403*m.x6
+ 0.226406427535824*m.x7 + 1.35118041523132*m.x8 - 1.99931464995111*m.x9
+ 1.27215644055553*m.x10 + 0.330095211721346*m.x11 - 1.70528032870818*m.x12
+ 1.90743390149646*m.x13 - 0.797498137850493*m.x14 - 0.861022193616583*m.x15
+ 1.92726090641725*m.x16 - 1.66777164413434*m.x17 + 0.261052384440102*m.x18
+ 1.32524009643147*m.x19 - 1.99992384612834*m.x20 + 1.29889609666037*m.x21
+ 0.29561882225922*m.x22 - 1.68678289162577*m.x23 + 1.91763946973639*m.x24
- 0.829386485312478*m.x25 <= 0.01)
m.c198 = Constraint(expr= - 1.98904379073655*m.x1 + 1.48628965095479*m.x2 - 4.88620758385765E-16*m.x3
- 1.48628965095479*m.x4 + 1.98904379073655*m.x5 - 1.17557050458494*m.x6
- 0.415823381635514*m.x7 + 1.73205080756888*m.x8 - 1.90211303259031*m.x9
+ 0.813473286151598*m.x10 + 0.813473286151606*m.x11 - 1.90211303259031*m.x12
+ 1.73205080756888*m.x13 - 0.41582338163552*m.x14 - 1.17557050458495*m.x15
+ 1.98904379073655*m.x16 - 1.48628965095479*m.x17 - 2.20560219973841E-15*m.x18
+ 1.48628965095479*m.x19 - 1.98904379073655*m.x20 + 1.17557050458495*m.x21
+ 0.41582338163552*m.x22 - 1.73205080756888*m.x23 + 1.90211303259031*m.x24
- 0.8134732861516*m.x25 <= 0.01)
m.c199 = Constraint(expr= - 1.8966473104124*m.x1 + 0.829386485312479*m.x2 + 0.765366864730177*m.x3
- 1.87334437849679*m.x4 + 1.78986872320405*m.x5 - 0.568030689407855*m.x6
- 1.01507672592141*m.x7 + 1.95259201423987*m.x8 - 1.64825237724403*m.x9
+ 0.295618822259227*m.x10 + 1.24502927327523*m.x11 - 1.99383466746626*m.x12
+ 1.47455467362025*m.x13 - 0.0174530709967489*m.x14 - 1.45074874202457*m.x15
+ 1.99626959684373*m.x16 - 1.27215644055553*m.x17 - 0.2610523844401*m.x18
+ 1.62823103671264*m.x19 - 1.95984940924166*m.x20 + 1.0449971294319*m.x21
+ 0.534476752156511*m.x22 - 1.77402166635644*m.x23 + 1.88528298218436*m.x24
- 0.797498137850493*m.x25 <= 0.01)
m.c200 = Constraint(expr= - 1.46270740323833*m.x1 + 0.0349048128745656*m.x2 + 1.4142135623731*m.x3
- 1.99969539031278*m.x4 + 1.36399672012499*m.x5 + 0.104671912485888*m.x6
- 1.50941916044555*m.x7 + 1.99238939618349*m.x8 - 1.25864078209967*m.x9
- 0.243738686810295*m.x10 + 1.59727102009459*m.x11 - 1.97537668119028*m.x12
+ 1.14715287270209*m.x13 + 0.381617990753089*m.x14 - 1.67734113589085*m.x15
+ 1.94874012957047*m.x16 - 1.0300761498201*m.x17 - 0.51763809020504*m.x18
+ 1.74923941427879*m.x19 - 1.91260951192607*m.x20 + 0.907980999479093*m.x21
+ 0.651136308914314*m.x22 - 1.8126155740733*m.x23 + 1.8671608529944*m.x24
- 0.781462256978547*m.x25 <= 0.01)
m.c201 = Constraint(expr= - 0.765366864730178*m.x1 - 0.76536686473017*m.x2 + 1.84775906502257*m.x3
- 1.84775906502258*m.x4 + 0.765366864730184*m.x5 + 0.765366864730177*m.x6
- 1.84775906502257*m.x7 + 1.84775906502257*m.x8 - 0.765366864730177*m.x9
- 0.765366864730171*m.x10 + 1.84775906502257*m.x11 - 1.84775906502258*m.x12
+ 0.765366864730182*m.x13 + 0.765366864730178*m.x14 - 1.84775906502257*m.x15
+ 1.84775906502258*m.x16 - 0.765366864730182*m.x17 - 0.765366864730179*m.x18
+ 1.84775906502257*m.x19 - 1.84775906502257*m.x20 + 0.765366864730181*m.x21
+ 0.76536686473018*m.x22 - 1.84775906502257*m.x23 + 1.84775906502257*m.x24
- 0.76536686473018*m.x25 <= 0.01)
m.c202 = Constraint(expr= 0.0697989934050108*m.x1 - 1.43867960067731*m.x2 + 2*m.x3 - 1.4386796006773*m.x4
+ 0.0697989934049907*m.x5 + 1.33826121271772*m.x6 - 1.99512810051965*m.x7
+ 1.53208888623795*m.x8 - 0.209056926535308*m.x9 - 1.23132295065132*m.x10
+ 1.98053613748314*m.x11 - 1.61803398874989*m.x12 + 0.347296355333859*m.x13
+ 1.1183858069415*m.x14 - 1.95629520146761*m.x15 + 1.69609619231285*m.x16
- 0.483843791199332*m.x17 - m.x18 + 1.92252339187664*m.x19 - 1.76589518571785*m.x20
+ 0.618033988749892*m.x21 + 0.876742293578155*m.x22 - 1.87938524157182*m.x23
+ 1.8270909152852*m.x24 - 0.749213186831824*m.x25 <= 0.01)
m.c203 = Constraint(expr= 0.892395626219619*m.x1 - 1.87334437849679*m.x2 + 1.84775906502257*m.x3
- 0.829386485312485*m.x4 - 0.634609312810183*m.x5 + 1.75763422532393*m.x6
- 1.93629528075622*m.x7 + 1.07459921669364*m.x8 + 0.36447105098429*m.x9
- 1.60771372123444*m.x10 + 1.98714371135318*m.x11 - 1.29889609666037*m.x12
- 0.0872387747306713*m.x13 + 1.42650089830836*m.x14 - 1.99931464995111*m.x15
+ 1.49791144157801*m.x16 - 0.191691505040452*m.x17 - 1.21752285801744*m.x18
+ 1.97257120307446*m.x19 - 1.66777164413434*m.x20 + 0.466890727711811*m.x21
+ 0.984847120206934*m.x22 - 1.90743390149645*m.x23 + 1.80517056869972*m.x24
- 0.733002453448595*m.x25 <= 0.01)
m.c204 = Constraint(expr= 1.55429192291394*m.x1 - 1.99725906950915*m.x2 + 1.41421356237311*m.x3
- 0.104671912485903*m.x4 - 1.25864078209966*m.x5 + 1.97537668119027*m.x6
- 1.67734113589085*m.x7 + 0.517638090205051*m.x8 + 0.907980999479086*m.x9
- 1.8671608529944*m.x10 + 1.86716085299441*m.x11 - 0.907980999479097*m.x12
- 0.517638090205039*m.x13 + 1.67734113589084*m.x14 - 1.97537668119028*m.x15
+ 1.25864078209968*m.x16 + 0.104671912485883*m.x17 - 1.41421356237309*m.x18
+ 1.99725906950915*m.x19 - 1.55429192291394*m.x20 + 0.312868930080464*m.x21
+ 1.08927807003005*m.x22 - 1.93185165257814*m.x23 + 1.78201304837674*m.x24
- 0.716735899090601*m.x25 <= 0.01)
m.c205 = Constraint(expr= 1.93629528075622*m.x1 - 1.78986872320405*m.x2 + 0.765366864730184*m.x3
+ 0.63460931281019*m.x4 - 1.72325832088305*m.x5 + 1.96650981512791*m.x6
- 1.24502927327524*m.x7 - 0.0872387747306775*m.x8 + 1.37670915138751*m.x9
- 1.99079239673436*m.x10 + 1.62823103671264*m.x11 - 0.466890727711806*m.x12
- 0.923497226470069*m.x13 + 1.86083513596405*m.x14 - 1.88528298218436*m.x15
+ 0.984847120206936*m.x16 + 0.398735868834396*m.x17 - 1.58670668058247*m.x18
+ 1.99626959684373*m.x19 - 1.42650089830836*m.x20 + 0.156918191455688*m.x21
+ 1.18964557350268*m.x22 - 1.95259201423987*m.x23 + 1.75763422532393*m.x24
- 0.700414762518935*m.x25 <= 0.01)
m.c206 = Constraint(expr= 1.96961550602442*m.x1 - 1.28557521937309*m.x2 + 7.83897747581624E-15*m.x3
+ 1.28557521937308*m.x4 - 1.96961550602441*m.x5 + 1.73205080756888*m.x6
- 0.68404028665135*m.x7 - 0.68404028665133*m.x8 + 1.73205080756888*m.x9
- 1.96961550602442*m.x10 + 1.28557521937308*m.x11 + 9.80955400591059E-16*m.x12
- 1.28557521937307*m.x13 + 1.96961550602442*m.x14 - 1.73205080756888*m.x15
+ 0.684040286651342*m.x16 + 0.684040286651332*m.x17 - 1.73205080756888*m.x18
+ 1.96961550602442*m.x19 - 1.28557521937308*m.x20 + 8.57252759403147E-16*m.x21
+ 1.28557521937308*m.x22 - 1.96961550602442*m.x23 + 1.73205080756888*m.x24
- 0.684040286651338*m.x25 <= 0.01)
m.c207 = Constraint(expr= 1.64825237724403*m.x1 - 0.568030689407843*m.x2 - 0.765366864730183*m.x3
+ 1.75763422532393*m.x4 - 1.96650981512791*m.x5 + 1.29889609666036*m.x6
- 0.0523538966157395*m.x7 - 1.21752285801745*m.x8 + 1.94473984079536*m.x9
- 1.80517056869972*m.x10 + 0.861022193616594*m.x11 + 0.466890727711807*m.x12
- 1.58670668058247*m.x13 + 1.99931464995111*m.x14 - 1.52081193120006*m.x15
+ 0.364471050984295*m.x16 + 0.954317520519217*m.x17 - 1.84775906502257*m.x18
+ 1.91763946973639*m.x19 - 1.13281247384967*m.x20 - 0.15691819145569*m.x21
+ 1.37670915138751*m.x22 - 1.98288972274762*m.x23 + 1.70528032870818*m.x24
- 0.667613718467542*m.x25 <= 0.01)
m.c208 = Constraint(expr= 1.03007614982011*m.x1 + 0.243738686810286*m.x2 - 1.41421356237309*m.x3
+ 1.98509230328264*m.x4 - 1.71433460140423*m.x5 + 0.716735899090611*m.x6
+ 0.584743409445472*m.x7 - 1.63830408857798*m.x8 + 1.99725906950915*m.x9
- 1.50941916044554*m.x10 + 0.381617990753093*m.x11 + 0.907980999479087*m.x12
- 1.8126155740733*m.x13 + 1.94874012957047*m.x14 - 1.25864078209968*m.x15
+ 0.0349048128745702*m.x16 + 1.2036300463041*m.x17 - 1.93185165257814*m.x18
+ 1.84100970690488*m.x19 - 0.969619240492676*m.x20 - 0.312868930080459*m.x21
+ 1.46270740323834*m.x22 - 1.99238939618349*m.x23 + 1.67734113589085*m.x24
- 0.651136308914314*m.x25 <= 0.01)
m.c209 = Constraint(expr= 0.226406427535811*m.x1 + 1.01507672592141*m.x2 - 1.84775906502257*m.x3
+ 1.93629528075621*m.x4 - 1.24502927327523*m.x5 + 0.0523538966157468*m.x6
+ 1.16140591142188*m.x7 - 1.90743390149646*m.x8 + 1.88528298218436*m.x9
- 1.10387397062411*m.x10 - 0.12209707906971*m.x11 + 1.29889609666037*m.x12
- 1.95259201423987*m.x13 + 1.81992254175308*m.x14 - 0.954317520519214*m.x15
- 0.295618822259222*m.x16 + 1.42650089830836*m.x17 - 1.98288972274762*m.x18
+ 1.7407113918798*m.x19 - 0.797498137850492*m.x20 - 0.466890727711813*m.x21
+ 1.54324916677544*m.x22 - 1.99809644316372*m.x23 + 1.64825237724403*m.x24
- 0.634609312810184*m.x25 <= 0.01)
m.c210 = Constraint(expr= - 0.61803398874989*m.x1 + 1.61803398874989*m.x2 - 2*m.x3 + 1.6180339887499*m.x4
- 0.618033988749899*m.x5 - 0.618033988749891*m.x6 + 1.61803398874989*m.x7 - 2*m.x8
+ 1.6180339887499*m.x9 - 0.618033988749898*m.x10 - 0.618033988749892*m.x11
+ 1.61803398874989*m.x12 - 2*m.x13 + 1.6180339887499*m.x14 - 0.618033988749897*m.x15
- 0.618033988749893*m.x16 + 1.61803398874989*m.x17 - 2*m.x18 + 1.6180339887499*m.x19
- 0.618033988749896*m.x20 - 0.618033988749894*m.x21 + 1.61803398874989*m.x22 - 2*m.x23
+ 1.61803398874989*m.x24 - 0.618033988749895*m.x25 <= 0.01)
m.c211 = Constraint(expr= - 1.35118041523132*m.x1 + 1.95259201423987*m.x2 - 1.84775906502257*m.x3
+ 1.07459921669365*m.x4 + 0.0872387747306838*m.x5 - 1.21752285801745*m.x6
+ 1.90743390149645*m.x7 - 1.90743390149645*m.x8 + 1.21752285801744*m.x9
- 0.0872387747306696*m.x10 - 1.07459921669365*m.x11 + 1.84775906502258*m.x12
- 1.95259201423987*m.x13 + 1.35118041523132*m.x14 - 0.261052384440103*m.x15
- 0.92349722647007*m.x16 + 1.77402166635645*m.x17 - 1.98288972274762*m.x18
+ 1.47455467362025*m.x19 - 0.432879227876205*m.x20 - 0.76536686473018*m.x21
+ 1.68678289162577*m.x22 - 1.99809644316372*m.x23 + 1.58670668058247*m.x24
- 0.601411599008546*m.x25 <= 0.01)
m.c212 = Constraint(expr= - 1.84100970690488*m.x1 + 1.96325436689533*m.x2 - 1.41421356237309*m.x3
+ 0.381617990753095*m.x4 + 0.781462256978547*m.x5 - 1.67734113589085*m.x6
+ 1.99969539031278*m.x7 - 1.63830408857798*m.x8 + 0.716735899090598*m.x9
+ 0.449902108687724*m.x10 - 1.46270740323834*m.x11 + 1.97537668119028*m.x12
- 1.8126155740733*m.x13 + 1.03007614982011*m.x14 + 0.10467191248589*m.x15
- 1.2036300463041*m.x16 + 1.89103715119863*m.x17 - 1.93185165257814*m.x18
+ 1.31211805798102*m.x19 - 0.243738686810295*m.x20 - 0.907980999479094*m.x21
+ 1.74923941427879*m.x22 - 1.99238939618349*m.x23 + 1.55429192291394*m.x24
- 0.584743409445474*m.x25 <= 0.01)
m.c213 = Constraint(expr= - 1.99931464995111*m.x1 + 1.64825237724404*m.x2 - 0.765366864730191*m.x3
- 0.364471050984282*m.x4 + 1.3767091513875*m.x5 - 1.94473984079535*m.x6
+ 1.88528298218436*m.x7 - 1.21752285801745*m.x8 + 0.156918191455705*m.x9
+ 0.954317520519216*m.x10 - 1.75763422532393*m.x11 + 1.99383466746626*m.x12
- 1.58670668058247*m.x13 + 0.667613718467544*m.x14 + 0.466890727711808*m.x15
- 1.45074874202457*m.x16 + 1.96650981512791*m.x17 - 1.84775906502258*m.x18
+ 1.13281247384967*m.x19 - 0.0523538966157477*m.x20 - 1.0449971294319*m.x21
+ 1.80517056869972*m.x22 - 1.98288972274762*m.x23 + 1.52081193120006*m.x24
- 0.568030689407846*m.x25 <= 0.01)
m.c214 = Constraint(expr= - 1.79758809259834*m.x1 + 1.05983852846641*m.x2 - 9.78479478044706E-16*m.x3
- 1.0598385284664*m.x4 + 1.79758809259834*m.x5 - 1.98904379073655*m.x6 + 1.57602150721344*m.x7
- 0.684040286651337*m.x8 - 0.415823381635514*m.x9 + 1.389316740918*m.x10
- 1.94059145255199*m.x11 + 1.90211303259031*m.x12 - 1.28557521937308*m.x13
+ 0.278346201920134*m.x14 + 0.8134732861516*m.x15 - 1.65807514511008*m.x16
+ 1.99878165403819*m.x17 - 1.73205080756888*m.x18 + 0.938943125571782*m.x19
+ 0.139512947488251*m.x20 - 1.17557050458495*m.x21 + 1.85436770913358*m.x22
- 1.96961550602442*m.x23 + 1.48628965095479*m.x24 - 0.551274711633998*m.x25 <= 0.01)
m.c215 = Constraint(expr= - 1.27215644055554*m.x1 + 0.295618822259229*m.x2 + 0.765366864730176*m.x3
- 1.60771372123443*m.x4 + 1.99079239673436*m.x5 - 1.80517056869972*m.x6
+ 1.10387397062412*m.x7 - 0.0872387747306843*m.x8 - 0.954317520519209*m.x9
+ 1.72325832088305*m.x10 - 1.99992384612834*m.x11 + 1.70528032870819*m.x12
- 0.923497226470074*m.x13 - 0.122097079069711*m.x14 + 1.13281247384966*m.x15
- 1.81992254175309*m.x16 + 1.98714371135318*m.x17 - 1.58670668058247*m.x18
+ 0.733002453448599*m.x19 + 0.330095211721355*m.x20 - 1.29889609666036*m.x21
+ 1.8966473104124*m.x22 - 1.95259201423987*m.x23 + 1.45074874202458*m.x24
- 0.534476752156514*m.x25 <= 0.01)
m.c216 = Constraint(expr= - 0.517638090205046*m.x1 - 0.51763809020505*m.x2 + 1.4142135623731*m.x3
- 1.93185165257814*m.x4 + 1.93185165257814*m.x5 - 1.41421356237309*m.x6
+ 0.517638090205038*m.x7 + 0.517638090205044*m.x8 - 1.4142135623731*m.x9
+ 1.93185165257814*m.x10 - 1.93185165257814*m.x11 + 1.4142135623731*m.x12
- 0.517638090205043*m.x13 - 0.517638090205046*m.x14 + 1.4142135623731*m.x15
- 1.93185165257814*m.x16 + 1.93185165257814*m.x17 - 1.41421356237309*m.x18
+ 0.517638090205042*m.x19 + 0.517638090205043*m.x20 - 1.4142135623731*m.x21
+ 1.93185165257814*m.x22 - 1.93185165257814*m.x23 + 1.4142135623731*m.x24
- 0.517638090205041*m.x25 <= 0.01)
m.c217 = Constraint(expr= 0.330095211721358*m.x1 - 1.24502927327524*m.x2 + 1.84775906502257*m.x3
- 1.98714371135318*m.x4 + 1.62823103671264*m.x5 - 0.861022193616602*m.x6
- 0.122097079069709*m.x7 + 1.07459921669364*m.x8 - 1.75763422532393*m.x9
+ 1.99992384612834*m.x10 - 1.7407113918798*m.x11 + 1.0449971294319*m.x12
- 0.0872387747306691*m.x13 - 0.892395626219615*m.x14 + 1.64825237724403*m.x15
- 1.99079239673436*m.x16 + 1.83412014877025*m.x17 - 1.21752285801745*m.x18
+ 0.295618822259225*m.x19 + 0.700414762518932*m.x20 - 1.52081193120006*m.x21
+ 1.95984940924166*m.x22 - 1.90743390149645*m.x23 + 1.37670915138751*m.x24
- 0.500760008108883*m.x25 <= 0.01)
m.c218 = Constraint(expr= 1.1183858069415*m.x1 - 1.76589518571785*m.x2 + 2*m.x3 - 1.76589518571785*m.x4
+ 1.11838580694149*m.x5 - 0.209056926535309*m.x6 - 0.749213186831826*m.x7
+ 1.53208888623796*m.x8 - 1.95629520146761*m.x9 + 1.92252339187664*m.x10
- 1.4386796006773*m.x11 + 0.618033988749891*m.x12 + 0.347296355333868*m.x13
- 1.23132295065132*m.x14 + 1.8270909152852*m.x15 - 1.99512810051965*m.x16
+ 1.69609619231285*m.x17 - 0.999999999999997*m.x18 + 0.0697989934050025*m.x19
+ 0.876742293578157*m.x20 - 1.61803398874989*m.x21 + 1.98053613748314*m.x22
- 1.87938524157182*m.x23 + 1.33826121271772*m.x24 - 0.483843791199335*m.x25 <= 0.01)
m.c219 = Constraint(expr= 1.70528032870818*m.x1 - 1.99383466746626*m.x2 + 1.84775906502257*m.x3
- 1.29889609666037*m.x4 + 0.466890727711814*m.x5 + 0.466890727711806*m.x6
- 1.29889609666036*m.x7 + 1.84775906502257*m.x8 - 1.99383466746626*m.x9
+ 1.70528032870818*m.x10 - 1.0449971294319*m.x11 + 0.15691819145569*m.x12
+ 0.765366864730178*m.x13 - 1.52081193120006*m.x14 + 1.94473984079535*m.x15
- 1.94473984079535*m.x16 + 1.52081193120006*m.x17 - 0.765366864730182*m.x18
- 0.156918191455686*m.x19 + 1.0449971294319*m.x20 - 1.70528032870818*m.x21
+ 1.99383466746626*m.x22 - 1.84775906502257*m.x23 + 1.29889609666037*m.x24
- 0.466890727711811*m.x25 <= 0.01)
m.c220 = Constraint(expr= 1.98509230328264*m.x1 - 1.89103715119863*m.x2 + 1.41421356237309*m.x3
- 0.651136308914309*m.x4 - 0.243738686810307*m.x5 + 1.08927807003006*m.x6
- 1.71433460140422*m.x7 + 1.99238939618349*m.x8 - 1.8671608529944*m.x9
+ 1.36399672012499*m.x10 - 0.584743409445472*m.x11 - 0.312868930080471*m.x12
+ 1.14715287270209*m.x13 - 1.74923941427879*m.x14 + 1.99725906950915*m.x15
- 1.84100970690488*m.x16 + 1.31211805798101*m.x17 - 0.517638090205042*m.x18
- 0.381617990753089*m.x19 + 1.2036300463041*m.x20 - 1.78201304837674*m.x21
+ 1.99969539031278*m.x22 - 1.8126155740733*m.x23 + 1.25864078209967*m.x24
- 0.44990210868773*m.x25 <= 0.01)
m.c221 = Constraint(expr= 1.90743390149645*m.x1 - 1.47455467362025*m.x2 + 0.765366864730185*m.x3
+ 0.0872387747306691*m.x4 - 0.923497226470068*m.x5 + 1.58670668058247*m.x6
- 1.95259201423986*m.x7 + 1.95259201423987*m.x8 - 1.58670668058247*m.x9
+ 0.923497226470068*m.x10 - 0.0872387747306696*m.x11 - 0.765366864730184*m.x12
+ 1.47455467362024*m.x13 - 1.90743390149645*m.x14 + 1.98288972274762*m.x15
- 1.68678289162577*m.x16 + 1.07459921669365*m.x17 - 0.261052384440103*m.x18
- 0.601411599008543*m.x19 + 1.35118041523132*m.x20 - 1.84775906502257*m.x21
+ 1.99809644316372*m.x22 - 1.77402166635644*m.x23 + 1.21752285801744*m.x24
- 0.432879227876206*m.x25 <= 0.01)
m.c222 = Constraint(expr= 1.4862896509548*m.x1 - 0.813473286151606*m.x2 + 8.32883619547518E-15*m.x3
+ 0.813473286151591*m.x4 - 1.48628965095478*m.x5 + 1.9021130325903*m.x6
- 1.98904379073655*m.x7 + 1.73205080756888*m.x8 - 1.17557050458495*m.x9
+ 0.415823381635528*m.x10 + 0.415823381635508*m.x11 - 1.17557050458494*m.x12
+ 1.73205080756888*m.x13 - 1.98904379073655*m.x14 + 1.90211303259031*m.x15
- 1.48628965095479*m.x16 + 0.813473286151603*m.x17 - 5.14475451769206E-15*m.x18
- 0.8134732861516*m.x19 + 1.48628965095479*m.x20 - 1.90211303259031*m.x21
+ 1.98904379073655*m.x22 - 1.73205080756888*m.x23 + 1.17557050458495*m.x24
- 0.415823381635519*m.x25 <= 0.01)
m.c223 = Constraint(expr= 0.797498137850503*m.x1 - 0.0174530709967376*m.x2 - 0.765366864730182*m.x3
+ 1.42650089830836*m.x4 - 1.86083513596405*m.x5 + 1.99931464995111*m.x6
- 1.81992254175309*m.x7 + 1.35118041523132*m.x8 - 0.667613718467539*m.x9
- 0.12209707906971*m.x10 + 0.892395626219621*m.x11 - 1.52081193120006*m.x12
+ 1.90743390149645*m.x13 - 1.99079239673436*m.x14 + 1.75763422532393*m.x15
- 1.24502927327524*m.x16 + 0.53447675215651*m.x17 + 0.2610523844401*m.x18
- 1.01507672592141*m.x19 + 1.60771372123443*m.x20 - 1.94473984079535*m.x21
+ 1.97257120307446*m.x22 - 1.68678289162577*m.x23 + 1.13281247384967*m.x24
- 0.398735868834394*m.x25 <= 0.01)
m.c224 = Constraint(expr= - 0.0349048128745631*m.x1 + 0.781462256978533*m.x2 - 1.41421356237309*m.x3
+ 1.84100970690488*m.x4 - 1.99969539031278*m.x5 + 1.86716085299441*m.x6
- 1.46270740323834*m.x7 + 0.845236523481401*m.x8 - 0.104671912485888*m.x9
- 0.651136308914301*m.x10 + 1.31211805798101*m.x11 - 1.78201304837673*m.x12
+ 1.99238939618349*m.x13 - 1.91260951192607*m.x14 + 1.55429192291394*m.x15
- 0.96961924049268*m.x16 + 0.243738686810299*m.x17 + 0.517638090205039*m.x18
- 1.2036300463041*m.x19 + 1.71433460140422*m.x20 - 1.97537668119028*m.x21
+ 1.94874012957047*m.x22 - 1.63830408857798*m.x23 + 1.08927807003005*m.x24
- 0.38161799075309*m.x25 <= 0.01)
m.c225 = Constraint(expr= - 0.861022193616593*m.x1 + 1.45074874202459*m.x2 - 1.84775906502257*m.x3
+ 1.99931464995111*m.x4 - 1.88528298218435*m.x5 + 1.52081193120006*m.x6
- 0.954317520519216*m.x7 + 0.261052384440105*m.x8 + 0.466890727711807*m.x9
- 1.13281247384967*m.x10 + 1.64825237724403*m.x11 - 1.94473984079535*m.x12
+ 1.98288972274762*m.x13 - 1.75763422532393*m.x14 + 1.29889609666037*m.x15
- 0.667613718467544*m.x16 - 0.0523538966157483*m.x17 + 0.765366864730179*m.x18
- 1.37670915138751*m.x19 + 1.80517056869972*m.x20 - 1.99383466746626*m.x21
+ 1.91763946973639*m.x22 - 1.58670668058247*m.x23 + 1.0449971294319*m.x24
- 0.364471050984295*m.x25 <= 0.01)
m.c226 = Constraint(expr= - 1.53208888623794*m.x1 + 1.87938524157181*m.x2 - 2*m.x3 + 1.87938524157182*m.x4
- 1.53208888623796*m.x5 + m.x6 - 0.347296355333868*m.x7 - 0.34729635533386*m.x8
+ 0.999999999999993*m.x9 - 1.53208888623795*m.x10 + 1.87938524157181*m.x11 - 2*m.x12
+ 1.87938524157182*m.x13 - 1.53208888623796*m.x14 + m.x15 - 0.347296355333866*m.x16
- 0.347296355333855*m.x17 + m.x18 - 1.53208888623796*m.x19 + 1.87938524157182*m.x20 - 2*m.x21
+ 1.87938524157182*m.x22 - 1.53208888623796*m.x23 + m.x24 - 0.347296355333861*m.x25 <= 0.01)
m.c227 = Constraint(expr= - 1.92726090641725*m.x1 + 1.99626959684373*m.x2 - 1.84775906502257*m.x3 + 1.497911441578*m.x4
- 0.984847120206926*m.x5 + 0.364471050984298*m.x6 + 0.29561882225922*m.x7
- 0.923497226470068*m.x8 + 1.45074874202458*m.x9 - 1.81992254175309*m.x10
+ 1.99079239673436*m.x11 - 1.94473984079535*m.x12 + 1.68678289162577*m.x13
- 1.24502927327524*m.x14 + 0.667613718467538*m.x15 - 0.0174530709967489*m.x16
- 0.634609312810185*m.x17 + 1.21752285801744*m.x18 - 1.66777164413434*m.x19
+ 1.93629528075622*m.x20 - 1.99383466746626*m.x21 + 1.83412014877025*m.x22
- 1.47455467362025*m.x23 + 0.954317520519216*m.x24 - 0.330095211721355*m.x25 <= 0.01)
m.c228 = Constraint(expr= - 1.97537668119028*m.x1 + 1.78201304837674*m.x2 - 1.4142135623731*m.x3
+ 0.907980999479093*m.x4 - 0.312868930080464*m.x5 - 0.312868930080456*m.x6
+ 0.907980999479085*m.x7 - 1.4142135623731*m.x8 + 1.78201304837673*m.x9
- 1.97537668119027*m.x10 + 1.97537668119028*m.x11 - 1.78201304837673*m.x12
+ 1.4142135623731*m.x13 - 0.907980999479097*m.x14 + 0.312868930080462*m.x15
+ 0.312868930080458*m.x16 - 0.907980999479093*m.x17 + 1.41421356237309*m.x18
- 1.78201304837674*m.x19 + 1.97537668119027*m.x20 - 1.97537668119028*m.x21
+ 1.78201304837674*m.x22 - 1.4142135623731*m.x23 + 0.907980999479094*m.x24
- 0.312868930080462*m.x25 <= 0.01)
m.c229 = Constraint(expr= - 1.66777164413433*m.x1 + 1.27215644055553*m.x2 - 0.765366864730165*m.x3
+ 0.191691505040441*m.x4 + 0.398735868834393*m.x5 - 0.954317520519221*m.x6
+ 1.42650089830837*m.x7 - 1.77402166635644*m.x8 + 1.96650981512791*m.x9
- 1.98714371135317*m.x10 + 1.83412014877025*m.x11 - 1.52081193120006*m.x12
+ 1.07459921669364*m.x13 - 0.534476752156504*m.x14 - 0.0523538966157478*m.x15
+ 0.634609312810185*m.x16 - 1.16140591142188*m.x17 + 1.58670668058247*m.x18
- 1.8733443784968*m.x19 + 1.99626959684373*m.x20 - 1.94473984079535*m.x21
+ 1.72325832088305*m.x22 - 1.35118041523132*m.x23 + 0.86102219361659*m.x24
- 0.295618822259221*m.x25 <= 0.01)
m.c230 = Constraint(expr= - 1.0598385284664*m.x1 + 0.551274711634001*m.x2 - 1.56791929129057E-14*m.x3
- 0.551274711633998*m.x4 + 1.05983852846641*m.x5 - 1.48628965095479*m.x6
+ 1.79758809259834*m.x7 - 1.96961550602442*m.x8 + 1.98904379073655*m.x9
- 1.85436770913358*m.x10 + 1.57602150721345*m.x11 - 1.17557050458495*m.x12
+ 0.684040286651343*m.x13 - 0.139512947488255*m.x14 - 0.415823381635515*m.x15
+ 0.938943125571779*m.x16 - 1.38931674091799*m.x17 + 1.73205080756888*m.x18
- 1.94059145255199*m.x19 + 1.99878165403819*m.x20 - 1.90211303259031*m.x21
+ 1.65807514511008*m.x22 - 1.28557521937308*m.x23 + 0.8134732861516*m.x24
- 0.278346201920131*m.x25 <= 0.01)
m.c231 = Constraint(expr= - 0.261052384440114*m.x1 - 0.261052384440103*m.x2 + 0.765366864730163*m.x3
- 1.21752285801743*m.x4 + 1.58670668058246*m.x5 - 1.84775906502257*m.x6
+ 1.98288972274762*m.x7 - 1.98288972274762*m.x8 + 1.84775906502258*m.x9
- 1.58670668058247*m.x10 + 1.21752285801745*m.x11 - 0.76536686473019*m.x12
+ 0.261052384440104*m.x13 + 0.261052384440099*m.x14 - 0.765366864730172*m.x15
+ 1.21752285801744*m.x16 - 1.58670668058247*m.x17 + 1.84775906502257*m.x18
- 1.98288972274762*m.x19 + 1.98288972274762*m.x20 - 1.84775906502257*m.x21
+ 1.58670668058247*m.x22 - 1.21752285801744*m.x23 + 0.765366864730181*m.x24
- 0.261052384440103*m.x25 <= 0.01)
m.c232 = Constraint(expr= 0.58474340944547*m.x1 - 1.03007614982011*m.x2 + 1.4142135623731*m.x3 - 1.71433460140422*m.x4
+ 1.91260951192607*m.x5 - 1.99725906950915*m.x6 + 1.96325436689533*m.x7 - 1.8126155740733*m.x8
+ 1.55429192291394*m.x9 - 1.20363004630409*m.x10 + 0.781462256978554*m.x11
- 0.312868930080463*m.x12 - 0.17431148549532*m.x13 + 0.651136308914309*m.x14
- 1.08927807003005*m.x15 + 1.46270740323834*m.x16 - 1.74923941427879*m.x17
+ 1.93185165257814*m.x18 - 1.99969539031278*m.x19 + 1.94874012957047*m.x20
- 1.78201304837674*m.x21 + 1.50941916044554*m.x22 - 1.14715287270209*m.x23
+ 0.716735899090601*m.x24 - 0.243738686810295*m.x25 <= 0.01)
m.c233 = Constraint(expr= 1.32524009643146*m.x1 - 1.62823103671264*m.x2 + 1.84775906502256*m.x3
- 1.97257120307446*m.x4 + 1.99626959684373*m.x5 - 1.91763946973639*m.x6 + 1.7407113918798*m.x7
- 1.47455467362025*m.x8 + 1.13281247384967*m.x9 - 0.733002453448601*m.x10
+ 0.295618822259227*m.x11 + 0.156918191455684*m.x12 - 0.601411599008541*m.x13
+ 1.0150767259214*m.x14 - 1.3767091513875*m.x15 + 1.66777164413433*m.x16
- 1.87334437849679*m.x17 + 1.98288972274762*m.x18 - 1.99079239673436*m.x19
+ 1.8966473104124*m.x20 - 1.70528032870819*m.x21 + 1.42650089830836*m.x22
- 1.07459921669365*m.x23 + 0.667613718467542*m.x24 - 0.226406427535814*m.x25 <= 0.01)
m.c234 = Constraint(expr= 1.82709091528521*m.x1 - 1.95629520146761*m.x2 + 2*m.x3 - 1.95629520146761*m.x4
+ 1.8270909152852*m.x5 - 1.61803398874989*m.x6 + 1.33826121271772*m.x7
- 0.999999999999993*m.x8 + 0.618033988749892*m.x9 - 0.209056926535308*m.x10
- 0.209056926535301*m.x11 + 0.618033988749899*m.x12 - m.x13 + 1.33826121271771*m.x14
- 1.61803398874989*m.x15 + 1.8270909152852*m.x16 - 1.95629520146761*m.x17 + 2*m.x18
- 1.95629520146761*m.x19 + 1.8270909152852*m.x20 - 1.6180339887499*m.x21
+ 1.33826121271772*m.x22 - m.x23 + 0.618033988749895*m.x24 - 0.209056926535307*m.x25 <= 0.01)
m.c235 = Constraint(expr= 1.99992384612834*m.x1 - 1.95984940924166*m.x2 + 1.84775906502257*m.x3
- 1.66777164413434*m.x4 + 1.42650089830837*m.x5 - 1.13281247384967*m.x6
+ 0.797498137850502*m.x7 - 0.432879227876211*m.x8 + 0.0523538966157468*m.x9
+ 0.330095211721345*m.x10 - 0.70041476251893*m.x11 + 1.0449971294319*m.x12
- 1.35118041523131*m.x13 + 1.60771372123443*m.x14 - 1.80517056869972*m.x15
+ 1.93629528075621*m.x16 - 1.99626959684373*m.x17 + 1.98288972274762*m.x18
- 1.8966473104124*m.x19 + 1.7407113918798*m.x20 - 1.52081193120006*m.x21
+ 1.24502927327524*m.x22 - 0.923497226470069*m.x23 + 0.568030689407845*m.x24
- 0.191691505040448*m.x25 <= 0.01)
m.c236 = Constraint(expr= 1.8126155740733*m.x1 - 1.63830408857798*m.x2 + 1.4142135623731*m.x3 - 1.14715287270208*m.x4
+ 0.845236523481402*m.x5 - 0.517638090205032*m.x6 + 0.17431148549532*m.x7
+ 0.174311485495326*m.x8 - 0.517638090205037*m.x9 + 0.845236523481408*m.x10
- 1.14715287270209*m.x11 + 1.4142135623731*m.x12 - 1.63830408857798*m.x13
+ 1.8126155740733*m.x14 - 1.93185165257814*m.x15 + 1.99238939618349*m.x16
- 1.99238939618349*m.x17 + 1.93185165257814*m.x18 - 1.8126155740733*m.x19
+ 1.63830408857798*m.x20 - 1.41421356237309*m.x21 + 1.14715287270209*m.x22
- 0.845236523481399*m.x23 + 0.517638090205041*m.x24 - 0.174311485495316*m.x25 <= 0.01)
m.c237 = Constraint(expr= 1.29889609666036*m.x1 - 1.04499712943191*m.x2 + 0.765366864730185*m.x3
- 0.466890727711808*m.x4 + 0.156918191455692*m.x5 + 0.156918191455683*m.x6
- 0.466890727711813*m.x7 + 0.765366864730177*m.x8 - 1.04499712943189*m.x9
+ 1.29889609666037*m.x10 - 1.52081193120006*m.x11 + 1.70528032870818*m.x12
- 1.84775906502257*m.x13 + 1.94473984079535*m.x14 - 1.99383466746626*m.x15
+ 1.99383466746626*m.x16 - 1.94473984079535*m.x17 + 1.84775906502258*m.x18
- 1.70528032870819*m.x19 + 1.52081193120006*m.x20 - 1.29889609666037*m.x21
+ 1.0449971294319*m.x22 - 0.765366864730181*m.x23 + 0.46689072771181*m.x24
- 0.15691819145569*m.x25 <= 0.01)
m.c238 = Constraint(expr= 0.551274711633988*m.x1 - 0.278346201920116*m.x2 - 1.96030145152699E-14*m.x3
+ 0.278346201920126*m.x4 - 0.551274711633998*m.x5 + 0.813473286151604*m.x6
- 1.05983852846642*m.x7 + 1.28557521937308*m.x8 - 1.48628965095479*m.x9
+ 1.65807514511009*m.x10 - 1.79758809259834*m.x11 + 1.90211303259031*m.x12
- 1.96961550602442*m.x13 + 1.99878165403819*m.x14 - 1.98904379073655*m.x15
+ 1.94059145255199*m.x16 - 1.85436770913357*m.x17 + 1.73205080756888*m.x18
- 1.57602150721344*m.x19 + 1.389316740918*m.x20 - 1.17557050458494*m.x21
+ 0.938943125571782*m.x22 - 0.684040286651337*m.x23 + 0.415823381635518*m.x24
- 0.13951294748825*m.x25 <= 0.01)
m.c239 = Constraint(expr= - 0.295618822259211*m.x1 + 0.534476752156503*m.x2 - 0.765366864730169*m.x3
+ 0.984847120206924*m.x4 - 1.18964557350268*m.x5 + 1.37670915138751*m.x6
- 1.54324916677544*m.x7 + 1.68678289162577*m.x8 - 1.80517056869972*m.x9
+ 1.8966473104124*m.x10 - 1.95984940924166*m.x11 + 1.99383466746626*m.x12
- 1.99809644316372*m.x13 + 1.97257120307446*m.x14 - 1.91763946973639*m.x15
+ 1.83412014877025*m.x16 - 1.72325832088305*m.x17 + 1.58670668058247*m.x18
- 1.42650089830836*m.x19 + 1.24502927327524*m.x20 - 1.0449971294319*m.x21
+ 0.829386485312479*m.x22 - 0.601411599008546*m.x23 + 0.364471050984296*m.x24
- 0.122097079069714*m.x25 <= 0.01)
m.c240 = Constraint(expr= - 1.08927807003005*m.x1 + 1.25864078209967*m.x2 - 1.41421356237308*m.x3
+ 1.55429192291393*m.x4 - 1.67734113589084*m.x5 + 1.78201304837673*m.x6 - 1.8671608529944*m.x7
+ 1.93185165257813*m.x8 - 1.97537668119027*m.x9 + 1.99725906950915*m.x10
- 1.99725906950915*m.x11 + 1.97537668119028*m.x12 - 1.93185165257814*m.x13
+ 1.86716085299441*m.x14 - 1.78201304837674*m.x15 + 1.67734113589085*m.x16
- 1.55429192291394*m.x17 + 1.4142135623731*m.x18 - 1.25864078209968*m.x19
+ 1.08927807003006*m.x20 - 0.907980999479096*m.x21 + 0.716735899090602*m.x22
- 0.517638090205043*m.x23 + 0.312868930080462*m.x24 - 0.104671912485888*m.x25 <= 0.01)
m.c241 = Constraint(expr= - 1.68678289162577*m.x1 + 1.77402166635644*m.x2 - 1.84775906502258*m.x3
+ 1.90743390149645*m.x4 - 1.95259201423987*m.x5 + 1.98288972274762*m.x6
- 1.99809644316372*m.x7 + 1.99809644316372*m.x8 - 1.98288972274762*m.x9
+ 1.95259201423987*m.x10 - 1.90743390149645*m.x11 + 1.84775906502257*m.x12
- 1.77402166635644*m.x13 + 1.68678289162577*m.x14 - 1.58670668058247*m.x15
+ 1.47455467362025*m.x16 - 1.35118041523132*m.x17 + 1.21752285801744*m.x18
- 1.07459921669365*m.x19 + 0.923497226470066*m.x20 - 0.765366864730181*m.x21
+ 0.601411599008545*m.x22 - 0.432879227876206*m.x23 + 0.261052384440103*m.x24
- 0.087238774730672*m.x25 <= 0.01)
m.c242 = Constraint(expr= - 1.98053613748314*m.x1 + 1.99512810051965*m.x2 - 2*m.x3 + 1.99512810051965*m.x4
- 1.98053613748314*m.x5 + 1.95629520146761*m.x6 - 1.92252339187664*m.x7
+ 1.87938524157182*m.x8 - 1.82709091528521*m.x9 + 1.76589518571785*m.x10
- 1.69609619231285*m.x11 + 1.6180339887499*m.x12 - 1.53208888623796*m.x13
+ 1.43867960067731*m.x14 - 1.33826121271772*m.x15 + 1.23132295065132*m.x16
- 1.1183858069415*m.x17 + m.x18 - 0.87674229357816*m.x19 + 0.749213186831824*m.x20
- 0.618033988749896*m.x21 + 0.483843791199338*m.x22 - 0.347296355333861*m.x23
+ 0.209056926535308*m.x24 - 0.0697989934050022*m.x25 <= 0.01)
m.c243 = Constraint(expr= - 1.91763946973639*m.x1 + 1.88528298218436*m.x2 - 1.84775906502257*m.x3
+ 1.80517056869972*m.x4 - 1.75763422532393*m.x5 + 1.70528032870818*m.x6
- 1.64825237724403*m.x7 + 1.58670668058247*m.x8 - 1.52081193120006*m.x9
+ 1.45074874202457*m.x10 - 1.37670915138751*m.x11 + 1.29889609666036*m.x12
- 1.21752285801744*m.x13 + 1.13281247384967*m.x14 - 1.0449971294319*m.x15
+ 0.954317520519214*m.x16 - 0.861022193616587*m.x17 + 0.765366864730182*m.x18
- 0.667613718467544*m.x19 + 0.568030689407846*m.x20 - 0.466890727711811*m.x21
+ 0.364471050984294*m.x22 - 0.261052384440103*m.x23 + 0.156918191455689*m.x24
- 0.0523538966157463*m.x25 <= 0.01)
m.c244 = Constraint(expr= - 1.50941916044555*m.x1 + 1.46270740323834*m.x2 - 1.41421356237309*m.x3
+ 1.36399672012499*m.x4 - 1.31211805798102*m.x5 + 1.25864078209968*m.x6
- 1.20363004630411*m.x7 + 1.1471528727021*m.x8 - 1.08927807003006*m.x9
+ 1.03007614982011*m.x10 - 0.969619240492675*m.x11 + 0.907980999479092*m.x12
- 0.845236523481407*m.x13 + 0.781462256978553*m.x14 - 0.716735899090603*m.x15
+ 0.651136308914314*m.x16 - 0.584743409445478*m.x17 + 0.517638090205043*m.x18
- 0.449902108687735*m.x19 + 0.381617990753092*m.x20 - 0.312868930080465*m.x21
+ 0.243738686810295*m.x22 - 0.174311485495317*m.x23 + 0.104671912485889*m.x24
- 0.0349048128745672*m.x25 <= 0.01)
m.c245 = Constraint(expr= - 0.829386485312474*m.x1 + 0.79749813785049*m.x2 - 0.765366864730179*m.x3
+ 0.733002453448596*m.x4 - 0.700414762518938*m.x5 + 0.667613718467533*m.x6
- 0.634609312810177*m.x7 + 0.601411599008541*m.x8 - 0.568030689407842*m.x9
+ 0.534476752156512*m.x10 - 0.500760008108883*m.x11 + 0.466890727711813*m.x12
- 0.43287922787621*m.x13 + 0.398735868834387*m.x14 - 0.364471050984289*m.x15
+ 0.330095211721351*m.x16 - 0.295618822259219*m.x17 + 0.261052384440103*m.x18
- 0.226406427535815*m.x19 + 0.191691505040444*m.x20 - 0.156918191455688*m.x21
+ 0.122097079069714*m.x22 - 0.0872387747306707*m.x23 + 0.052353896615747*m.x24
- 0.0174530709967478*m.x25 <= 0.01)
m.c246 = Constraint(expr= - 1.66589103522235E-14*m.x1 - 4.90230108040894E-15*m.x2 - 1.95819691736259E-15*m.x3
+ 8.81869491513412E-15*m.x4 - 1.56791929129057E-14*m.x5 + 8.32883619547518E-15*m.x6
- 9.78479478044706E-16*m.x7 + 7.83897747581624E-15*m.x8 - 4.88620758385765E-16*m.x9
+ 7.3491187561573E-15*m.x10 + 1.23796127317672E-18*m.x11 + 6.85926003649835E-15*m.x12
+ 4.91096680932118E-16*m.x13 + 6.36940131683941E-15*m.x14 + 9.80955400591059E-16*m.x15
+ 5.87954259718047E-15*m.x16 + 1.47081412025E-15*m.x17 + 5.38968387752153E-15*m.x18
+ 1.96067283990894E-15*m.x19 + 4.89982515786259E-15*m.x20 - 1.10218211923262E-15*m.x21
+ 8.57252759403147E-16*m.x22 - 6.12323399573677E-16*m.x23 + 3.67394039744206E-16*m.x24
- 1.22464679914735E-16*m.x25 <= 0.01)
m.c247 = Constraint(expr= 1.00000000000001*m.x1 + 0.999999999999986*m.x2 - 2*m.x3 + 1.00000000000001*m.x4
+ 0.999999999999987*m.x5 - 2*m.x6 + m.x7 + 0.999999999999987*m.x8 - 2*m.x9 + m.x10
+ 0.999999999999994*m.x11 - 2*m.x12 + m.x13 + 0.999999999999994*m.x14 - 2*m.x15 + m.x16
+ 0.999999999999995*m.x17 - 2*m.x18 + m.x19 + 0.999999999999998*m.x20 - 2*m.x21 + m.x22
+ m.x23 - 2*m.x24 + m.x25 <= 0.01)
m.c248 = Constraint(expr= 0.191691505040447*m.x1 + 1.60771372123444*m.x2 - 1.84775906502257*m.x3
+ 0.295618822259221*m.x4 + 1.54324916677544*m.x5 - 1.88528298218436*m.x6
+ 0.398735868834394*m.x7 + 1.47455467362025*m.x8 - 1.91763946973639*m.x9
+ 0.500760008108882*m.x10 + 1.4018185285997*m.x11 - 1.94473984079535*m.x12
+ 0.601411599008546*m.x13 + 1.32524009643148*m.x14 - 1.96650981512791*m.x15
+ 0.700414762518935*m.x16 + 1.24502927327524*m.x17 - 1.98288972274762*m.x18
+ 0.797498137850492*m.x19 + 1.16140591142188*m.x20 - 1.99383466746626*m.x21
+ 0.892395626219618*m.x22 + 1.07459921669365*m.x23 - 1.99931464995111*m.x24
+ 0.984847120206934*m.x25 <= 0.01)
m.c249 = Constraint(expr= - 0.651136308914307*m.x1 + 1.94874012957047*m.x2 - 1.4142135623731*m.x3
- 0.449902108687723*m.x4 + 1.89103715119863*m.x5 - 1.55429192291394*m.x6
- 0.243738686810287*m.x7 + 1.81261557407329*m.x8 - 1.67734113589085*m.x9
- 0.0349048128745587*m.x10 + 1.71433460140422*m.x11 - 1.78201304837674*m.x12
+ 0.174311485495318*m.x13 + 1.59727102009458*m.x14 - 1.86716085299441*m.x15
+ 0.381617990753092*m.x16 + 1.46270740323834*m.x17 - 1.93185165257814*m.x18
+ 0.584743409445477*m.x19 + 1.31211805798101*m.x20 - 1.97537668119028*m.x21
+ 0.781462256978548*m.x22 + 1.14715287270209*m.x23 - 1.99725906950915*m.x24
+ 0.969619240492674*m.x25 <= 0.01)
m.c250 = Constraint(expr= - 1.37670915138751*m.x1 + 1.96650981512791*m.x2 - 0.765366864730171*m.x3
- 1.13281247384967*m.x4 + 1.99931464995111*m.x5 - 1.04499712943189*m.x6
- 0.861022193616589*m.x7 + 1.98288972274762*m.x8 - 1.29889609666036*m.x9
- 0.568030689407843*m.x10 + 1.91763946973639*m.x11 - 1.52081193120006*m.x12
- 0.261052384440106*m.x13 + 1.80517056869972*m.x14 - 1.70528032870818*m.x15
+ 0.0523538966157446*m.x16 + 1.64825237724403*m.x17 - 1.84775906502257*m.x18
+ 0.364471050984295*m.x19 + 1.45074874202458*m.x20 - 1.94473984079535*m.x21
+ 0.667613718467541*m.x22 + 1.21752285801744*m.x23 - 1.99383466746626*m.x24
+ 0.954317520519217*m.x25 <= 0.01)
m.c251 = Constraint(expr= - 1.85436770913357*m.x1 + 1.65807514511009*m.x2 - 7.3491187561573E-15*m.x3
- 1.65807514511008*m.x4 + 1.85436770913358*m.x5 - 0.415823381635528*m.x6
- 1.38931674091799*m.x7 + 1.96961550602442*m.x8 - 0.813473286151611*m.x9
- 1.05983852846641*m.x10 + 1.99878165403819*m.x11 - 1.17557050458495*m.x12
- 0.684040286651331*m.x13 + 1.94059145255199*m.x14 - 1.48628965095479*m.x15
- 0.27834620192013*m.x16 + 1.79758809259833*m.x17 - 1.73205080756888*m.x18
+ 0.139512947488254*m.x19 + 1.57602150721344*m.x20 - 1.90211303259031*m.x21
+ 0.551274711634*m.x22 + 1.28557521937308*m.x23 - 1.98904379073655*m.x24
+ 0.938943125571782*m.x25 <= 0.01)
m.c252 = Constraint(expr= - 1.99809644316372*m.x1 + 1.07459921669364*m.x2 + 0.765366864730183*m.x3
- 1.95259201423987*m.x4 + 1.47455467362024*m.x5 + 0.261052384440105*m.x6
- 1.77402166635645*m.x7 + 1.77402166635644*m.x8 - 0.261052384440104*m.x9
- 1.47455467362025*m.x10 + 1.95259201423987*m.x11 - 0.765366864730176*m.x12
- 1.07459921669365*m.x13 + 1.99809644316372*m.x14 - 1.21752285801744*m.x15
- 0.601411599008549*m.x16 + 1.90743390149646*m.x17 - 1.58670668058247*m.x18
- 0.0872387747306726*m.x19 + 1.68678289162577*m.x20 - 1.84775906502257*m.x21
+ 0.432879227876204*m.x22 + 1.35118041523132*m.x23 - 1.98288972274762*m.x24
+ 0.923497226470068*m.x25 <= 0.01)
m.c253 = Constraint(expr= - 1.78201304837674*m.x1 + 0.312868930080464*m.x2 + 1.4142135623731*m.x3
- 1.97537668119028*m.x4 + 0.907980999479098*m.x5 + 0.907980999479092*m.x6
- 1.97537668119028*m.x7 + 1.4142135623731*m.x8 + 0.312868930080457*m.x9
- 1.78201304837674*m.x10 + 1.78201304837674*m.x11 - 0.312868930080462*m.x12
- 1.41421356237309*m.x13 + 1.97537668119028*m.x14 - 0.907980999479097*m.x15
- 0.907980999479094*m.x16 + 1.97537668119027*m.x17 - 1.41421356237309*m.x18
- 0.312868930080459*m.x19 + 1.78201304837674*m.x20 - 1.78201304837674*m.x21
+ 0.312868930080462*m.x22 + 1.41421356237309*m.x23 - 1.97537668119028*m.x24
+ 0.907980999479094*m.x25 <= 0.01)
m.c254 = Constraint(expr= - 1.24502927327524*m.x1 - 0.500760008108897*m.x2 + 1.84775906502258*m.x3
- 1.72325832088305*m.x4 + 0.226406427535803*m.x5 + 1.45074874202458*m.x6
- 1.97257120307446*m.x7 + 0.923497226470062*m.x8 + 0.861022193616595*m.x9
- 1.95984940924166*m.x10 + 1.497911441578*m.x11 + 0.156918191455692*m.x12
- 1.68678289162577*m.x13 + 1.87334437849679*m.x14 - 0.56803068940784*m.x15
- 1.18964557350269*m.x16 + 1.99992384612834*m.x17 - 1.21752285801744*m.x18
- 0.534476752156514*m.x19 + 1.86083513596405*m.x20 - 1.70528032870818*m.x21
+ 0.191691505040447*m.x22 + 1.47455467362025*m.x23 - 1.96650981512791*m.x24
+ 0.892395626219617*m.x25 <= 0.01)
m.c255 = Constraint(expr= - 0.483843791199341*m.x1 - 1.23132295065132*m.x2 + 2*m.x3 - 1.23132295065131*m.x4
- 0.483843791199334*m.x5 + 1.8270909152852*m.x6 - 1.76589518571785*m.x7
+ 0.347296355333867*m.x8 + 1.33826121271772*m.x9 - 1.99512810051965*m.x10
+ 1.11838580694149*m.x11 + 0.618033988749893*m.x12 - 1.87938524157182*m.x13
+ 1.69609619231285*m.x14 - 0.209056926535306*m.x15 - 1.4386796006773*m.x16
+ 1.98053613748314*m.x17 - m.x18 - 0.749213186831825*m.x19 + 1.92252339187664*m.x20
- 1.6180339887499*m.x21 + 0.0697989934050018*m.x22 + 1.53208888623796*m.x23
- 1.95629520146761*m.x24 + 0.876742293578155*m.x25 <= 0.01)
m.c256 = Constraint(expr= 0.364471050984282*m.x1 - 1.75763422532393*m.x2 + 1.84775906502258*m.x3
- 0.568030689407849*m.x4 - 1.13281247384965*m.x5 + 1.99383466746626*m.x6
- 1.37670915138751*m.x7 - 0.261052384440098*m.x8 + 1.70528032870818*m.x9
- 1.88528298218436*m.x10 + 0.667613718467551*m.x11 + 1.04499712943189*m.x12
- 1.98288972274762*m.x13 + 1.45074874202458*m.x14 + 0.156918191455685*m.x15
- 1.64825237724403*m.x16 + 1.91763946973639*m.x17 - 0.765366864730182*m.x18
- 0.954317520519214*m.x19 + 1.96650981512791*m.x20 - 1.52081193120006*m.x21
- 0.0523538966157442*m.x22 + 1.58670668058247*m.x23 - 1.94473984079535*m.x24
+ 0.86102219361659*m.x25 <= 0.01)
m.c257 = Constraint(expr= 1.14715287270209*m.x1 - 1.99238939618349*m.x2 + 1.41421356237309*m.x3
+ 0.174311485495319*m.x4 - 1.63830408857798*m.x5 + 1.93185165257814*m.x6
- 0.845236523481401*m.x7 - 0.845236523481395*m.x8 + 1.93185165257814*m.x9
- 1.63830408857798*m.x10 + 0.174311485495312*m.x11 + 1.4142135623731*m.x12
- 1.99238939618349*m.x13 + 1.14715287270209*m.x14 + 0.517638090205039*m.x15
- 1.8126155740733*m.x16 + 1.8126155740733*m.x17 - 0.517638090205042*m.x18
- 1.14715287270209*m.x19 + 1.99238939618349*m.x20 - 1.41421356237309*m.x21
- 0.174311485495316*m.x22 + 1.63830408857798*m.x23 - 1.93185165257814*m.x24
+ 0.845236523481399*m.x25 <= 0.01)
m.c258 = Constraint(expr= 1.72325832088304*m.x1 - 1.8966473104124*m.x2 + 0.765366864730191*m.x3
+ 0.892395626219614*m.x4 - 1.93629528075621*m.x5 + 1.64825237724403*m.x6
- 0.226406427535824*m.x7 - 1.35118041523132*m.x8 + 1.99931464995111*m.x9
- 1.27215644055553*m.x10 - 0.330095211721346*m.x11 + 1.70528032870818*m.x12
- 1.90743390149646*m.x13 + 0.797498137850493*m.x14 + 0.861022193616583*m.x15
- 1.92726090641725*m.x16 + 1.66777164413434*m.x17 - 0.261052384440102*m.x18
- 1.32524009643147*m.x19 + 1.99992384612834*m.x20 - 1.29889609666037*m.x21
- 0.29561882225922*m.x22 + 1.68678289162577*m.x23 - 1.91763946973639*m.x24
+ 0.829386485312478*m.x25 <= 0.01)
m.c259 = Constraint(expr= 1.98904379073655*m.x1 - 1.48628965095479*m.x2 + 4.88620758385765E-16*m.x3
+ 1.48628965095479*m.x4 - 1.98904379073655*m.x5 + 1.17557050458494*m.x6
+ 0.415823381635514*m.x7 - 1.73205080756888*m.x8 + 1.90211303259031*m.x9
- 0.813473286151598*m.x10 - 0.813473286151606*m.x11 + 1.90211303259031*m.x12
- 1.73205080756888*m.x13 + 0.41582338163552*m.x14 + 1.17557050458495*m.x15
- 1.98904379073655*m.x16 + 1.48628965095479*m.x17 + 2.20560219973841E-15*m.x18
- 1.48628965095479*m.x19 + 1.98904379073655*m.x20 - 1.17557050458495*m.x21
- 0.41582338163552*m.x22 + 1.73205080756888*m.x23 - 1.90211303259031*m.x24
+ 0.8134732861516*m.x25 <= 0.01)
m.c260 = Constraint(expr= 1.8966473104124*m.x1 - 0.829386485312479*m.x2 - 0.765366864730177*m.x3
+ 1.87334437849679*m.x4 - 1.78986872320405*m.x5 + 0.568030689407855*m.x6
+ 1.01507672592141*m.x7 - 1.95259201423987*m.x8 + 1.64825237724403*m.x9
- 0.295618822259227*m.x10 - 1.24502927327523*m.x11 + 1.99383466746626*m.x12
- 1.47455467362025*m.x13 + 0.0174530709967489*m.x14 + 1.45074874202457*m.x15
- 1.99626959684373*m.x16 + 1.27215644055553*m.x17 + 0.2610523844401*m.x18
- 1.62823103671264*m.x19 + 1.95984940924166*m.x20 - 1.0449971294319*m.x21
- 0.534476752156511*m.x22 + 1.77402166635644*m.x23 - 1.88528298218436*m.x24
+ 0.797498137850493*m.x25 <= 0.01)
m.c261 = Constraint(expr= 1.46270740323833*m.x1 - 0.0349048128745656*m.x2 - 1.4142135623731*m.x3
+ 1.99969539031278*m.x4 - 1.36399672012499*m.x5 - 0.104671912485888*m.x6
+ 1.50941916044555*m.x7 - 1.99238939618349*m.x8 + 1.25864078209967*m.x9
+ 0.243738686810295*m.x10 - 1.59727102009459*m.x11 + 1.97537668119028*m.x12
- 1.14715287270209*m.x13 - 0.381617990753089*m.x14 + 1.67734113589085*m.x15
- 1.94874012957047*m.x16 + 1.0300761498201*m.x17 + 0.51763809020504*m.x18
- 1.74923941427879*m.x19 + 1.91260951192607*m.x20 - 0.907980999479093*m.x21
- 0.651136308914314*m.x22 + 1.8126155740733*m.x23 - 1.8671608529944*m.x24
+ 0.781462256978547*m.x25 <= 0.01)
m.c262 = Constraint(expr= 0.765366864730178*m.x1 + 0.76536686473017*m.x2 - 1.84775906502257*m.x3
+ 1.84775906502258*m.x4 - 0.765366864730184*m.x5 - 0.765366864730177*m.x6
+ 1.84775906502257*m.x7 - 1.84775906502257*m.x8 + 0.765366864730177*m.x9
+ 0.765366864730171*m.x10 - 1.84775906502257*m.x11 + 1.84775906502258*m.x12
- 0.765366864730182*m.x13 - 0.765366864730178*m.x14 + 1.84775906502257*m.x15
- 1.84775906502258*m.x16 + 0.765366864730182*m.x17 + 0.765366864730179*m.x18
- 1.84775906502257*m.x19 + 1.84775906502257*m.x20 - 0.765366864730181*m.x21
- 0.76536686473018*m.x22 + 1.84775906502257*m.x23 - 1.84775906502257*m.x24
+ 0.76536686473018*m.x25 <= 0.01)
m.c263 = Constraint(expr= - 0.0697989934050108*m.x1 + 1.43867960067731*m.x2 - 2*m.x3 + 1.4386796006773*m.x4
- 0.0697989934049907*m.x5 - 1.33826121271772*m.x6 + 1.99512810051965*m.x7
- 1.53208888623795*m.x8 + 0.209056926535308*m.x9 + 1.23132295065132*m.x10
- 1.98053613748314*m.x11 + 1.61803398874989*m.x12 - 0.347296355333859*m.x13
- 1.1183858069415*m.x14 + 1.95629520146761*m.x15 - 1.69609619231285*m.x16
+ 0.483843791199332*m.x17 + m.x18 - 1.92252339187664*m.x19 + 1.76589518571785*m.x20
- 0.618033988749892*m.x21 - 0.876742293578155*m.x22 + 1.87938524157182*m.x23
- 1.8270909152852*m.x24 + 0.749213186831824*m.x25 <= 0.01)
m.c264 = Constraint(expr= - 0.892395626219619*m.x1 + 1.87334437849679*m.x2 - 1.84775906502257*m.x3
+ 0.829386485312485*m.x4 + 0.634609312810183*m.x5 - 1.75763422532393*m.x6
+ 1.93629528075622*m.x7 - 1.07459921669364*m.x8 - 0.36447105098429*m.x9
+ 1.60771372123444*m.x10 - 1.98714371135318*m.x11 + 1.29889609666037*m.x12
+ 0.0872387747306713*m.x13 - 1.42650089830836*m.x14 + 1.99931464995111*m.x15
- 1.49791144157801*m.x16 + 0.191691505040452*m.x17 + 1.21752285801744*m.x18
- 1.97257120307446*m.x19 + 1.66777164413434*m.x20 - 0.466890727711811*m.x21
- 0.984847120206934*m.x22 + 1.90743390149645*m.x23 - 1.80517056869972*m.x24
+ 0.733002453448595*m.x25 <= 0.01)
m.c265 = Constraint(expr= - 1.55429192291394*m.x1 + 1.99725906950915*m.x2 - 1.41421356237311*m.x3
+ 0.104671912485903*m.x4 + 1.25864078209966*m.x5 - 1.97537668119027*m.x6
+ 1.67734113589085*m.x7 - 0.517638090205051*m.x8 - 0.907980999479086*m.x9
+ 1.8671608529944*m.x10 - 1.86716085299441*m.x11 + 0.907980999479097*m.x12
+ 0.517638090205039*m.x13 - 1.67734113589084*m.x14 + 1.97537668119028*m.x15
- 1.25864078209968*m.x16 - 0.104671912485883*m.x17 + 1.41421356237309*m.x18
- 1.99725906950915*m.x19 + 1.55429192291394*m.x20 - 0.312868930080464*m.x21
- 1.08927807003005*m.x22 + 1.93185165257814*m.x23 - 1.78201304837674*m.x24
+ 0.716735899090601*m.x25 <= 0.01)
m.c266 = Constraint(expr= - 1.93629528075622*m.x1 + 1.78986872320405*m.x2 - 0.765366864730184*m.x3
- 0.63460931281019*m.x4 + 1.72325832088305*m.x5 - 1.96650981512791*m.x6
+ 1.24502927327524*m.x7 + 0.0872387747306775*m.x8 - 1.37670915138751*m.x9
+ 1.99079239673436*m.x10 - 1.62823103671264*m.x11 + 0.466890727711806*m.x12
+ 0.923497226470069*m.x13 - 1.86083513596405*m.x14 + 1.88528298218436*m.x15
- 0.984847120206936*m.x16 - 0.398735868834396*m.x17 + 1.58670668058247*m.x18
- 1.99626959684373*m.x19 + 1.42650089830836*m.x20 - 0.156918191455688*m.x21
- 1.18964557350268*m.x22 + 1.95259201423987*m.x23 - 1.75763422532393*m.x24
+ 0.700414762518935*m.x25 <= 0.01)
m.c267 = Constraint(expr= - 1.96961550602442*m.x1 + 1.28557521937309*m.x2 - 7.83897747581624E-15*m.x3
- 1.28557521937308*m.x4 + 1.96961550602441*m.x5 - 1.73205080756888*m.x6
+ 0.68404028665135*m.x7 + 0.68404028665133*m.x8 - 1.73205080756888*m.x9
+ 1.96961550602442*m.x10 - 1.28557521937308*m.x11 - 9.80955400591059E-16*m.x12
+ 1.28557521937307*m.x13 - 1.96961550602442*m.x14 + 1.73205080756888*m.x15
- 0.684040286651342*m.x16 - 0.684040286651332*m.x17 + 1.73205080756888*m.x18
- 1.96961550602442*m.x19 + 1.28557521937308*m.x20 - 8.57252759403147E-16*m.x21
- 1.28557521937308*m.x22 + 1.96961550602442*m.x23 - 1.73205080756888*m.x24
+ 0.684040286651338*m.x25 <= 0.01)
m.c268 = Constraint(expr= - 1.64825237724403*m.x1 + 0.568030689407843*m.x2 + 0.765366864730183*m.x3
- 1.75763422532393*m.x4 + 1.96650981512791*m.x5 - 1.29889609666036*m.x6
+ 0.0523538966157395*m.x7 + 1.21752285801745*m.x8 - 1.94473984079536*m.x9
+ 1.80517056869972*m.x10 - 0.861022193616594*m.x11 - 0.466890727711807*m.x12
+ 1.58670668058247*m.x13 - 1.99931464995111*m.x14 + 1.52081193120006*m.x15
- 0.364471050984295*m.x16 - 0.954317520519217*m.x17 + 1.84775906502257*m.x18
- 1.91763946973639*m.x19 + 1.13281247384967*m.x20 + 0.15691819145569*m.x21
- 1.37670915138751*m.x22 + 1.98288972274762*m.x23 - 1.70528032870818*m.x24
+ 0.667613718467542*m.x25 <= 0.01)
m.c269 = Constraint(expr= - 1.03007614982011*m.x1 - 0.243738686810286*m.x2 + 1.41421356237309*m.x3
- 1.98509230328264*m.x4 + 1.71433460140423*m.x5 - 0.716735899090611*m.x6
- 0.584743409445472*m.x7 + 1.63830408857798*m.x8 - 1.99725906950915*m.x9
+ 1.50941916044554*m.x10 - 0.381617990753093*m.x11 - 0.907980999479087*m.x12
+ 1.8126155740733*m.x13 - 1.94874012957047*m.x14 + 1.25864078209968*m.x15
- 0.0349048128745702*m.x16 - 1.2036300463041*m.x17 + 1.93185165257814*m.x18
- 1.84100970690488*m.x19 + 0.969619240492676*m.x20 + 0.312868930080459*m.x21
- 1.46270740323834*m.x22 + 1.99238939618349*m.x23 - 1.67734113589085*m.x24
+ 0.651136308914314*m.x25 <= 0.01)
m.c270 = Constraint(expr= - 0.226406427535811*m.x1 - 1.01507672592141*m.x2 + 1.84775906502257*m.x3
- 1.93629528075621*m.x4 + 1.24502927327523*m.x5 - 0.0523538966157468*m.x6
- 1.16140591142188*m.x7 + 1.90743390149646*m.x8 - 1.88528298218436*m.x9
+ 1.10387397062411*m.x10 + 0.12209707906971*m.x11 - 1.29889609666037*m.x12
+ 1.95259201423987*m.x13 - 1.81992254175308*m.x14 + 0.954317520519214*m.x15
+ 0.295618822259222*m.x16 - 1.42650089830836*m.x17 + 1.98288972274762*m.x18
- 1.7407113918798*m.x19 + 0.797498137850492*m.x20 + 0.466890727711813*m.x21
- 1.54324916677544*m.x22 + 1.99809644316372*m.x23 - 1.64825237724403*m.x24
+ 0.634609312810184*m.x25 <= 0.01)
m.c271 = Constraint(expr= 0.61803398874989*m.x1 - 1.61803398874989*m.x2 + 2*m.x3 - 1.6180339887499*m.x4
+ 0.618033988749899*m.x5 + 0.618033988749891*m.x6 - 1.61803398874989*m.x7 + 2*m.x8
- 1.6180339887499*m.x9 + 0.618033988749898*m.x10 + 0.618033988749892*m.x11
- 1.61803398874989*m.x12 + 2*m.x13 - 1.6180339887499*m.x14 + 0.618033988749897*m.x15
+ 0.618033988749893*m.x16 - 1.61803398874989*m.x17 + 2*m.x18 - 1.6180339887499*m.x19
+ 0.618033988749896*m.x20 + 0.618033988749894*m.x21 - 1.61803398874989*m.x22 + 2*m.x23
- 1.61803398874989*m.x24 + 0.618033988749895*m.x25 <= 0.01)
m.c272 = Constraint(expr= 1.35118041523132*m.x1 - 1.95259201423987*m.x2 + 1.84775906502257*m.x3
- 1.07459921669365*m.x4 - 0.0872387747306838*m.x5 + 1.21752285801745*m.x6
- 1.90743390149645*m.x7 + 1.90743390149645*m.x8 - 1.21752285801744*m.x9
+ 0.0872387747306696*m.x10 + 1.07459921669365*m.x11 - 1.84775906502258*m.x12
+ 1.95259201423987*m.x13 - 1.35118041523132*m.x14 + 0.261052384440103*m.x15
+ 0.92349722647007*m.x16 - 1.77402166635645*m.x17 + 1.98288972274762*m.x18
- 1.47455467362025*m.x19 + 0.432879227876205*m.x20 + 0.76536686473018*m.x21
- 1.68678289162577*m.x22 + 1.99809644316372*m.x23 - 1.58670668058247*m.x24
+ 0.601411599008546*m.x25 <= 0.01)
m.c273 = Constraint(expr= 1.84100970690488*m.x1 - 1.96325436689533*m.x2 + 1.41421356237309*m.x3
- 0.381617990753095*m.x4 - 0.781462256978547*m.x5 + 1.67734113589085*m.x6
- 1.99969539031278*m.x7 + 1.63830408857798*m.x8 - 0.716735899090598*m.x9
- 0.449902108687724*m.x10 + 1.46270740323834*m.x11 - 1.97537668119028*m.x12
+ 1.8126155740733*m.x13 - 1.03007614982011*m.x14 - 0.10467191248589*m.x15
+ 1.2036300463041*m.x16 - 1.89103715119863*m.x17 + 1.93185165257814*m.x18
- 1.31211805798102*m.x19 + 0.243738686810295*m.x20 + 0.907980999479094*m.x21
- 1.74923941427879*m.x22 + 1.99238939618349*m.x23 - 1.55429192291394*m.x24
+ 0.584743409445474*m.x25 <= 0.01)
m.c274 = Constraint(expr= 1.99931464995111*m.x1 - 1.64825237724404*m.x2 + 0.765366864730191*m.x3
+ 0.364471050984282*m.x4 - 1.3767091513875*m.x5 + 1.94473984079535*m.x6
- 1.88528298218436*m.x7 + 1.21752285801745*m.x8 - 0.156918191455705*m.x9
- 0.954317520519216*m.x10 + 1.75763422532393*m.x11 - 1.99383466746626*m.x12
+ 1.58670668058247*m.x13 - 0.667613718467544*m.x14 - 0.466890727711808*m.x15
+ 1.45074874202457*m.x16 - 1.96650981512791*m.x17 + 1.84775906502258*m.x18
- 1.13281247384967*m.x19 + 0.0523538966157477*m.x20 + 1.0449971294319*m.x21
- 1.80517056869972*m.x22 + 1.98288972274762*m.x23 - 1.52081193120006*m.x24
+ 0.568030689407846*m.x25 <= 0.01)
m.c275 = Constraint(expr= 1.79758809259834*m.x1 - 1.05983852846641*m.x2 + 9.78479478044706E-16*m.x3
+ 1.0598385284664*m.x4 - 1.79758809259834*m.x5 + 1.98904379073655*m.x6 - 1.57602150721344*m.x7
+ 0.684040286651337*m.x8 + 0.415823381635514*m.x9 - 1.389316740918*m.x10
+ 1.94059145255199*m.x11 - 1.90211303259031*m.x12 + 1.28557521937308*m.x13
- 0.278346201920134*m.x14 - 0.8134732861516*m.x15 + 1.65807514511008*m.x16
- 1.99878165403819*m.x17 + 1.73205080756888*m.x18 - 0.938943125571782*m.x19
- 0.139512947488251*m.x20 + 1.17557050458495*m.x21 - 1.85436770913358*m.x22
+ 1.96961550602442*m.x23 - 1.48628965095479*m.x24 + 0.551274711633998*m.x25 <= 0.01)
m.c276 = Constraint(expr= 1.27215644055554*m.x1 - 0.295618822259229*m.x2 - 0.765366864730176*m.x3
+ 1.60771372123443*m.x4 - 1.99079239673436*m.x5 + 1.80517056869972*m.x6
- 1.10387397062412*m.x7 + 0.0872387747306843*m.x8 + 0.954317520519209*m.x9
- 1.72325832088305*m.x10 + 1.99992384612834*m.x11 - 1.70528032870819*m.x12
+ 0.923497226470074*m.x13 + 0.122097079069711*m.x14 - 1.13281247384966*m.x15
+ 1.81992254175309*m.x16 - 1.98714371135318*m.x17 + 1.58670668058247*m.x18
- 0.733002453448599*m.x19 - 0.330095211721355*m.x20 + 1.29889609666036*m.x21
- 1.8966473104124*m.x22 + 1.95259201423987*m.x23 - 1.45074874202458*m.x24
+ 0.534476752156514*m.x25 <= 0.01)
m.c277 = Constraint(expr= 0.517638090205046*m.x1 + 0.51763809020505*m.x2 - 1.4142135623731*m.x3
+ 1.93185165257814*m.x4 - 1.93185165257814*m.x5 + 1.41421356237309*m.x6
- 0.517638090205038*m.x7 - 0.517638090205044*m.x8 + 1.4142135623731*m.x9
- 1.93185165257814*m.x10 + 1.93185165257814*m.x11 - 1.4142135623731*m.x12
+ 0.517638090205043*m.x13 + 0.517638090205046*m.x14 - 1.4142135623731*m.x15
+ 1.93185165257814*m.x16 - 1.93185165257814*m.x17 + 1.41421356237309*m.x18
- 0.517638090205042*m.x19 - 0.517638090205043*m.x20 + 1.4142135623731*m.x21
- 1.93185165257814*m.x22 + 1.93185165257814*m.x23 - 1.4142135623731*m.x24
+ 0.517638090205041*m.x25 <= 0.01)
m.c278 = Constraint(expr= - 0.330095211721358*m.x1 + 1.24502927327524*m.x2 - 1.84775906502257*m.x3
+ 1.98714371135318*m.x4 - 1.62823103671264*m.x5 + 0.861022193616602*m.x6
+ 0.122097079069709*m.x7 - 1.07459921669364*m.x8 + 1.75763422532393*m.x9
- 1.99992384612834*m.x10 + 1.7407113918798*m.x11 - 1.0449971294319*m.x12
+ 0.0872387747306691*m.x13 + 0.892395626219615*m.x14 - 1.64825237724403*m.x15
+ 1.99079239673436*m.x16 - 1.83412014877025*m.x17 + 1.21752285801745*m.x18
- 0.295618822259225*m.x19 - 0.700414762518932*m.x20 + 1.52081193120006*m.x21
- 1.95984940924166*m.x22 + 1.90743390149645*m.x23 - 1.37670915138751*m.x24
+ 0.500760008108883*m.x25 <= 0.01)
m.c279 = Constraint(expr= - 1.1183858069415*m.x1 + 1.76589518571785*m.x2 - 2*m.x3 + 1.76589518571785*m.x4
- 1.11838580694149*m.x5 + 0.209056926535309*m.x6 + 0.749213186831826*m.x7
- 1.53208888623796*m.x8 + 1.95629520146761*m.x9 - 1.92252339187664*m.x10
+ 1.4386796006773*m.x11 - 0.618033988749891*m.x12 - 0.347296355333868*m.x13
+ 1.23132295065132*m.x14 - 1.8270909152852*m.x15 + 1.99512810051965*m.x16
- 1.69609619231285*m.x17 + 0.999999999999997*m.x18 - 0.0697989934050025*m.x19
- 0.876742293578157*m.x20 + 1.61803398874989*m.x21 - 1.98053613748314*m.x22
+ 1.87938524157182*m.x23 - 1.33826121271772*m.x24 + 0.483843791199335*m.x25 <= 0.01)
m.c280 = Constraint(expr= - 1.70528032870818*m.x1 + 1.99383466746626*m.x2 - 1.84775906502257*m.x3
+ 1.29889609666037*m.x4 - 0.466890727711814*m.x5 - 0.466890727711806*m.x6
+ 1.29889609666036*m.x7 - 1.84775906502257*m.x8 + 1.99383466746626*m.x9
- 1.70528032870818*m.x10 + 1.0449971294319*m.x11 - 0.15691819145569*m.x12
- 0.765366864730178*m.x13 + 1.52081193120006*m.x14 - 1.94473984079535*m.x15
+ 1.94473984079535*m.x16 - 1.52081193120006*m.x17 + 0.765366864730182*m.x18
+ 0.156918191455686*m.x19 - 1.0449971294319*m.x20 + 1.70528032870818*m.x21
- 1.99383466746626*m.x22 + 1.84775906502257*m.x23 - 1.29889609666037*m.x24
+ 0.466890727711811*m.x25 <= 0.01)
m.c281 = Constraint(expr= - 1.98509230328264*m.x1 + 1.89103715119863*m.x2 - 1.41421356237309*m.x3
+ 0.651136308914309*m.x4 + 0.243738686810307*m.x5 - 1.08927807003006*m.x6
+ 1.71433460140422*m.x7 - 1.99238939618349*m.x8 + 1.8671608529944*m.x9
- 1.36399672012499*m.x10 + 0.584743409445472*m.x11 + 0.312868930080471*m.x12
- 1.14715287270209*m.x13 + 1.74923941427879*m.x14 - 1.99725906950915*m.x15
+ 1.84100970690488*m.x16 - 1.31211805798101*m.x17 + 0.517638090205042*m.x18
+ 0.381617990753089*m.x19 - 1.2036300463041*m.x20 + 1.78201304837674*m.x21
- 1.99969539031278*m.x22 + 1.8126155740733*m.x23 - 1.25864078209967*m.x24
+ 0.44990210868773*m.x25 <= 0.01)
m.c282 = Constraint(expr= - 1.90743390149645*m.x1 + 1.47455467362025*m.x2 - 0.765366864730185*m.x3
- 0.0872387747306691*m.x4 + 0.923497226470068*m.x5 - 1.58670668058247*m.x6
+ 1.95259201423986*m.x7 - 1.95259201423987*m.x8 + 1.58670668058247*m.x9
- 0.923497226470068*m.x10 + 0.0872387747306696*m.x11 + 0.765366864730184*m.x12
- 1.47455467362024*m.x13 + 1.90743390149645*m.x14 - 1.98288972274762*m.x15
+ 1.68678289162577*m.x16 - 1.07459921669365*m.x17 + 0.261052384440103*m.x18
+ 0.601411599008543*m.x19 - 1.35118041523132*m.x20 + 1.84775906502257*m.x21
- 1.99809644316372*m.x22 + 1.77402166635644*m.x23 - 1.21752285801744*m.x24
+ 0.432879227876206*m.x25 <= 0.01)
m.c283 = Constraint(expr= - 1.4862896509548*m.x1 + 0.813473286151606*m.x2 - 8.32883619547518E-15*m.x3
- 0.813473286151591*m.x4 + 1.48628965095478*m.x5 - 1.9021130325903*m.x6
+ 1.98904379073655*m.x7 - 1.73205080756888*m.x8 + 1.17557050458495*m.x9
- 0.415823381635528*m.x10 - 0.415823381635508*m.x11 + 1.17557050458494*m.x12
- 1.73205080756888*m.x13 + 1.98904379073655*m.x14 - 1.90211303259031*m.x15
+ 1.48628965095479*m.x16 - 0.813473286151603*m.x17 + 5.14475451769206E-15*m.x18
+ 0.8134732861516*m.x19 - 1.48628965095479*m.x20 + 1.90211303259031*m.x21
- 1.98904379073655*m.x22 + 1.73205080756888*m.x23 - 1.17557050458495*m.x24
+ 0.415823381635519*m.x25 <= 0.01)
m.c284 = Constraint(expr= - 0.797498137850503*m.x1 + 0.0174530709967376*m.x2 + 0.765366864730182*m.x3
- 1.42650089830836*m.x4 + 1.86083513596405*m.x5 - 1.99931464995111*m.x6
+ 1.81992254175309*m.x7 - 1.35118041523132*m.x8 + 0.667613718467539*m.x9
+ 0.12209707906971*m.x10 - 0.892395626219621*m.x11 + 1.52081193120006*m.x12
- 1.90743390149645*m.x13 + 1.99079239673436*m.x14 - 1.75763422532393*m.x15
+ 1.24502927327524*m.x16 - 0.53447675215651*m.x17 - 0.2610523844401*m.x18
+ 1.01507672592141*m.x19 - 1.60771372123443*m.x20 + 1.94473984079535*m.x21
- 1.97257120307446*m.x22 + 1.68678289162577*m.x23 - 1.13281247384967*m.x24
+ 0.398735868834394*m.x25 <= 0.01)
m.c285 = Constraint(expr= 0.0349048128745631*m.x1 - 0.781462256978533*m.x2 + 1.41421356237309*m.x3
- 1.84100970690488*m.x4 + 1.99969539031278*m.x5 - 1.86716085299441*m.x6
+ 1.46270740323834*m.x7 - 0.845236523481401*m.x8 + 0.104671912485888*m.x9
+ 0.651136308914301*m.x10 - 1.31211805798101*m.x11 + 1.78201304837673*m.x12
- 1.99238939618349*m.x13 + 1.91260951192607*m.x14 - 1.55429192291394*m.x15
+ 0.96961924049268*m.x16 - 0.243738686810299*m.x17 - 0.517638090205039*m.x18
+ 1.2036300463041*m.x19 - 1.71433460140422*m.x20 + 1.97537668119028*m.x21
- 1.94874012957047*m.x22 + 1.63830408857798*m.x23 - 1.08927807003005*m.x24
+ 0.38161799075309*m.x25 <= 0.01)
m.c286 = Constraint(expr= 0.861022193616593*m.x1 - 1.45074874202459*m.x2 + 1.84775906502257*m.x3
- 1.99931464995111*m.x4 + 1.88528298218435*m.x5 - 1.52081193120006*m.x6
+ 0.954317520519216*m.x7 - 0.261052384440105*m.x8 - 0.466890727711807*m.x9
+ 1.13281247384967*m.x10 - 1.64825237724403*m.x11 + 1.94473984079535*m.x12
- 1.98288972274762*m.x13 + 1.75763422532393*m.x14 - 1.29889609666037*m.x15
+ 0.667613718467544*m.x16 + 0.0523538966157483*m.x17 - 0.765366864730179*m.x18
+ 1.37670915138751*m.x19 - 1.80517056869972*m.x20 + 1.99383466746626*m.x21
- 1.91763946973639*m.x22 + 1.58670668058247*m.x23 - 1.0449971294319*m.x24
+ 0.364471050984295*m.x25 <= 0.01)
m.c287 = Constraint(expr= 1.53208888623794*m.x1 - 1.87938524157181*m.x2 + 2*m.x3 - 1.87938524157182*m.x4
+ 1.53208888623796*m.x5 - m.x6 + 0.347296355333868*m.x7 + 0.34729635533386*m.x8
- 0.999999999999993*m.x9 + 1.53208888623795*m.x10 - 1.87938524157181*m.x11 + 2*m.x12
- 1.87938524157182*m.x13 + 1.53208888623796*m.x14 - m.x15 + 0.347296355333866*m.x16
+ 0.347296355333855*m.x17 - m.x18 + 1.53208888623796*m.x19 - 1.87938524157182*m.x20 + 2*m.x21
- 1.87938524157182*m.x22 + 1.53208888623796*m.x23 - m.x24 + 0.347296355333861*m.x25 <= 0.01)
m.c288 = Constraint(expr= 1.92726090641725*m.x1 - 1.99626959684373*m.x2 + 1.84775906502257*m.x3 - 1.497911441578*m.x4
+ 0.984847120206926*m.x5 - 0.364471050984298*m.x6 - 0.29561882225922*m.x7
+ 0.923497226470068*m.x8 - 1.45074874202458*m.x9 + 1.81992254175309*m.x10
- 1.99079239673436*m.x11 + 1.94473984079535*m.x12 - 1.68678289162577*m.x13
+ 1.24502927327524*m.x14 - 0.667613718467538*m.x15 + 0.0174530709967489*m.x16
+ 0.634609312810185*m.x17 - 1.21752285801744*m.x18 + 1.66777164413434*m.x19
- 1.93629528075622*m.x20 + 1.99383466746626*m.x21 - 1.83412014877025*m.x22
+ 1.47455467362025*m.x23 - 0.954317520519216*m.x24 + 0.330095211721355*m.x25 <= 0.01)
m.c289 = Constraint(expr= 1.97537668119028*m.x1 - 1.78201304837674*m.x2 + 1.4142135623731*m.x3
- 0.907980999479093*m.x4 + 0.312868930080464*m.x5 + 0.312868930080456*m.x6
- 0.907980999479085*m.x7 + 1.4142135623731*m.x8 - 1.78201304837673*m.x9
+ 1.97537668119027*m.x10 - 1.97537668119028*m.x11 + 1.78201304837673*m.x12
- 1.4142135623731*m.x13 + 0.907980999479097*m.x14 - 0.312868930080462*m.x15
- 0.312868930080458*m.x16 + 0.907980999479093*m.x17 - 1.41421356237309*m.x18
+ 1.78201304837674*m.x19 - 1.97537668119027*m.x20 + 1.97537668119028*m.x21
- 1.78201304837674*m.x22 + 1.4142135623731*m.x23 - 0.907980999479094*m.x24
+ 0.312868930080462*m.x25 <= 0.01)
m.c290 = Constraint(expr= 1.66777164413433*m.x1 - 1.27215644055553*m.x2 + 0.765366864730165*m.x3
- 0.191691505040441*m.x4 - 0.398735868834393*m.x5 + 0.954317520519221*m.x6
- 1.42650089830837*m.x7 + 1.77402166635644*m.x8 - 1.96650981512791*m.x9
+ 1.98714371135317*m.x10 - 1.83412014877025*m.x11 + 1.52081193120006*m.x12
- 1.07459921669364*m.x13 + 0.534476752156504*m.x14 + 0.0523538966157478*m.x15
- 0.634609312810185*m.x16 + 1.16140591142188*m.x17 - 1.58670668058247*m.x18
+ 1.8733443784968*m.x19 - 1.99626959684373*m.x20 + 1.94473984079535*m.x21
- 1.72325832088305*m.x22 + 1.35118041523132*m.x23 - 0.86102219361659*m.x24
+ 0.295618822259221*m.x25 <= 0.01)
m.c291 = Constraint(expr= 1.0598385284664*m.x1 - 0.551274711634001*m.x2 + 1.56791929129057E-14*m.x3
+ 0.551274711633998*m.x4 - 1.05983852846641*m.x5 + 1.48628965095479*m.x6
- 1.79758809259834*m.x7 + 1.96961550602442*m.x8 - 1.98904379073655*m.x9
+ 1.85436770913358*m.x10 - 1.57602150721345*m.x11 + 1.17557050458495*m.x12
- 0.684040286651343*m.x13 + 0.139512947488255*m.x14 + 0.415823381635515*m.x15
- 0.938943125571779*m.x16 + 1.38931674091799*m.x17 - 1.73205080756888*m.x18
+ 1.94059145255199*m.x19 - 1.99878165403819*m.x20 + 1.90211303259031*m.x21
- 1.65807514511008*m.x22 + 1.28557521937308*m.x23 - 0.8134732861516*m.x24
+ 0.278346201920131*m.x25 <= 0.01)
m.c292 = Constraint(expr= 0.261052384440114*m.x1 + 0.261052384440103*m.x2 - 0.765366864730163*m.x3
+ 1.21752285801743*m.x4 - 1.58670668058246*m.x5 + 1.84775906502257*m.x6
- 1.98288972274762*m.x7 + 1.98288972274762*m.x8 - 1.84775906502258*m.x9
+ 1.58670668058247*m.x10 - 1.21752285801745*m.x11 + 0.76536686473019*m.x12
- 0.261052384440104*m.x13 - 0.261052384440099*m.x14 + 0.765366864730172*m.x15
- 1.21752285801744*m.x16 + 1.58670668058247*m.x17 - 1.84775906502257*m.x18
+ 1.98288972274762*m.x19 - 1.98288972274762*m.x20 + 1.84775906502257*m.x21
- 1.58670668058247*m.x22 + 1.21752285801744*m.x23 - 0.765366864730181*m.x24
+ 0.261052384440103*m.x25 <= 0.01)
m.c293 = Constraint(expr= - 0.58474340944547*m.x1 + 1.03007614982011*m.x2 - 1.4142135623731*m.x3 + 1.71433460140422*m.x4
- 1.91260951192607*m.x5 + 1.99725906950915*m.x6 - 1.96325436689533*m.x7 + 1.8126155740733*m.x8
- 1.55429192291394*m.x9 + 1.20363004630409*m.x10 - 0.781462256978554*m.x11
+ 0.312868930080463*m.x12 + 0.17431148549532*m.x13 - 0.651136308914309*m.x14
+ 1.08927807003005*m.x15 - 1.46270740323834*m.x16 + 1.74923941427879*m.x17
- 1.93185165257814*m.x18 + 1.99969539031278*m.x19 - 1.94874012957047*m.x20
+ 1.78201304837674*m.x21 - 1.50941916044554*m.x22 + 1.14715287270209*m.x23
- 0.716735899090601*m.x24 + 0.243738686810295*m.x25 <= 0.01)
m.c294 = Constraint(expr= - 1.32524009643146*m.x1 + 1.62823103671264*m.x2 - 1.84775906502256*m.x3
+ 1.97257120307446*m.x4 - 1.99626959684373*m.x5 + 1.91763946973639*m.x6 - 1.7407113918798*m.x7
+ 1.47455467362025*m.x8 - 1.13281247384967*m.x9 + 0.733002453448601*m.x10
- 0.295618822259227*m.x11 - 0.156918191455684*m.x12 + 0.601411599008541*m.x13
- 1.0150767259214*m.x14 + 1.3767091513875*m.x15 - 1.66777164413433*m.x16
+ 1.87334437849679*m.x17 - 1.98288972274762*m.x18 + 1.99079239673436*m.x19
- 1.8966473104124*m.x20 + 1.70528032870819*m.x21 - 1.42650089830836*m.x22
+ 1.07459921669365*m.x23 - 0.667613718467542*m.x24 + 0.226406427535814*m.x25 <= 0.01)
m.c295 = Constraint(expr= - 1.82709091528521*m.x1 + 1.95629520146761*m.x2 - 2*m.x3 + 1.95629520146761*m.x4
- 1.8270909152852*m.x5 + 1.61803398874989*m.x6 - 1.33826121271772*m.x7
+ 0.999999999999993*m.x8 - 0.618033988749892*m.x9 + 0.209056926535308*m.x10
+ 0.209056926535301*m.x11 - 0.618033988749899*m.x12 + m.x13 - 1.33826121271771*m.x14
+ 1.61803398874989*m.x15 - 1.8270909152852*m.x16 + 1.95629520146761*m.x17 - 2*m.x18
+ 1.95629520146761*m.x19 - 1.8270909152852*m.x20 + 1.6180339887499*m.x21
- 1.33826121271772*m.x22 + m.x23 - 0.618033988749895*m.x24 + 0.209056926535307*m.x25 <= 0.01)
m.c296 = Constraint(expr= - 1.99992384612834*m.x1 + 1.95984940924166*m.x2 - 1.84775906502257*m.x3
+ 1.66777164413434*m.x4 - 1.42650089830837*m.x5 + 1.13281247384967*m.x6
- 0.797498137850502*m.x7 + 0.432879227876211*m.x8 - 0.0523538966157468*m.x9
- 0.330095211721345*m.x10 + 0.70041476251893*m.x11 - 1.0449971294319*m.x12
+ 1.35118041523131*m.x13 - 1.60771372123443*m.x14 + 1.80517056869972*m.x15
- 1.93629528075621*m.x16 + 1.99626959684373*m.x17 - 1.98288972274762*m.x18
+ 1.8966473104124*m.x19 - 1.7407113918798*m.x20 + 1.52081193120006*m.x21
- 1.24502927327524*m.x22 + 0.923497226470069*m.x23 - 0.568030689407845*m.x24
+ 0.191691505040448*m.x25 <= 0.01)
m.c297 = Constraint(expr= - 1.8126155740733*m.x1 + 1.63830408857798*m.x2 - 1.4142135623731*m.x3 + 1.14715287270208*m.x4
- 0.845236523481402*m.x5 + 0.517638090205032*m.x6 - 0.17431148549532*m.x7
- 0.174311485495326*m.x8 + 0.517638090205037*m.x9 - 0.845236523481408*m.x10
+ 1.14715287270209*m.x11 - 1.4142135623731*m.x12 + 1.63830408857798*m.x13
- 1.8126155740733*m.x14 + 1.93185165257814*m.x15 - 1.99238939618349*m.x16
+ 1.99238939618349*m.x17 - 1.93185165257814*m.x18 + 1.8126155740733*m.x19
- 1.63830408857798*m.x20 + 1.41421356237309*m.x21 - 1.14715287270209*m.x22
+ 0.845236523481399*m.x23 - 0.517638090205041*m.x24 + 0.174311485495316*m.x25 <= 0.01)
m.c298 = Constraint(expr= - 1.29889609666036*m.x1 + 1.04499712943191*m.x2 - 0.765366864730185*m.x3
+ 0.466890727711808*m.x4 - 0.156918191455692*m.x5 - 0.156918191455683*m.x6
+ 0.466890727711813*m.x7 - 0.765366864730177*m.x8 + 1.04499712943189*m.x9
- 1.29889609666037*m.x10 + 1.52081193120006*m.x11 - 1.70528032870818*m.x12
+ 1.84775906502257*m.x13 - 1.94473984079535*m.x14 + 1.99383466746626*m.x15
- 1.99383466746626*m.x16 + 1.94473984079535*m.x17 - 1.84775906502258*m.x18
+ 1.70528032870819*m.x19 - 1.52081193120006*m.x20 + 1.29889609666037*m.x21
- 1.0449971294319*m.x22 + 0.765366864730181*m.x23 - 0.46689072771181*m.x24
+ 0.15691819145569*m.x25 <= 0.01)
m.c299 = Constraint(expr= - 0.551274711633988*m.x1 + 0.278346201920116*m.x2 + 1.96030145152699E-14*m.x3
- 0.278346201920126*m.x4 + 0.551274711633998*m.x5 - 0.813473286151604*m.x6
+ 1.05983852846642*m.x7 - 1.28557521937308*m.x8 + 1.48628965095479*m.x9
- 1.65807514511009*m.x10 + 1.79758809259834*m.x11 - 1.90211303259031*m.x12
+ 1.96961550602442*m.x13 - 1.99878165403819*m.x14 + 1.98904379073655*m.x15
- 1.94059145255199*m.x16 + 1.85436770913357*m.x17 - 1.73205080756888*m.x18
+ 1.57602150721344*m.x19 - 1.389316740918*m.x20 + 1.17557050458494*m.x21
- 0.938943125571782*m.x22 + 0.684040286651337*m.x23 - 0.415823381635518*m.x24
+ 0.13951294748825*m.x25 <= 0.01)
m.c300 = Constraint(expr= 0.295618822259211*m.x1 - 0.534476752156503*m.x2 + 0.765366864730169*m.x3
- 0.984847120206924*m.x4 + 1.18964557350268*m.x5 - 1.37670915138751*m.x6
+ 1.54324916677544*m.x7 - 1.68678289162577*m.x8 + 1.80517056869972*m.x9
- 1.8966473104124*m.x10 + 1.95984940924166*m.x11 - 1.99383466746626*m.x12
+ 1.99809644316372*m.x13 - 1.97257120307446*m.x14 + 1.91763946973639*m.x15
- 1.83412014877025*m.x16 + 1.72325832088305*m.x17 - 1.58670668058247*m.x18
+ 1.42650089830836*m.x19 - 1.24502927327524*m.x20 + 1.0449971294319*m.x21
- 0.829386485312479*m.x22 + 0.601411599008546*m.x23 - 0.364471050984296*m.x24
+ 0.122097079069714*m.x25 <= 0.01)
m.c301 = Constraint(expr= 1.08927807003005*m.x1 - 1.25864078209967*m.x2 + 1.41421356237308*m.x3
- 1.55429192291393*m.x4 + 1.67734113589084*m.x5 - 1.78201304837673*m.x6 + 1.8671608529944*m.x7
- 1.93185165257813*m.x8 + 1.97537668119027*m.x9 - 1.99725906950915*m.x10
+ 1.99725906950915*m.x11 - 1.97537668119028*m.x12 + 1.93185165257814*m.x13
- 1.86716085299441*m.x14 + 1.78201304837674*m.x15 - 1.67734113589085*m.x16
+ 1.55429192291394*m.x17 - 1.4142135623731*m.x18 + 1.25864078209968*m.x19
- 1.08927807003006*m.x20 + 0.907980999479096*m.x21 - 0.716735899090602*m.x22
+ 0.517638090205043*m.x23 - 0.312868930080462*m.x24 + 0.104671912485888*m.x25 <= 0.01)
m.c302 = Constraint(expr= 1.68678289162577*m.x1 - 1.77402166635644*m.x2 + 1.84775906502258*m.x3
- 1.90743390149645*m.x4 + 1.95259201423987*m.x5 - 1.98288972274762*m.x6
+ 1.99809644316372*m.x7 - 1.99809644316372*m.x8 + 1.98288972274762*m.x9
- 1.95259201423987*m.x10 + 1.90743390149645*m.x11 - 1.84775906502257*m.x12
+ 1.77402166635644*m.x13 - 1.68678289162577*m.x14 + 1.58670668058247*m.x15
- 1.47455467362025*m.x16 + 1.35118041523132*m.x17 - 1.21752285801744*m.x18
+ 1.07459921669365*m.x19 - 0.923497226470066*m.x20 + 0.765366864730181*m.x21
- 0.601411599008545*m.x22 + 0.432879227876206*m.x23 - 0.261052384440103*m.x24
+ 0.087238774730672*m.x25 <= 0.01)
m.c303 = Constraint(expr= 1.98053613748314*m.x1 - 1.99512810051965*m.x2 + 2*m.x3 - 1.99512810051965*m.x4
+ 1.98053613748314*m.x5 - 1.95629520146761*m.x6 + 1.92252339187664*m.x7
- 1.87938524157182*m.x8 + 1.82709091528521*m.x9 - 1.76589518571785*m.x10
+ 1.69609619231285*m.x11 - 1.6180339887499*m.x12 + 1.53208888623796*m.x13
- 1.43867960067731*m.x14 + 1.33826121271772*m.x15 - 1.23132295065132*m.x16
+ 1.1183858069415*m.x17 - m.x18 + 0.87674229357816*m.x19 - 0.749213186831824*m.x20
+ 0.618033988749896*m.x21 - 0.483843791199338*m.x22 + 0.347296355333861*m.x23
- 0.209056926535308*m.x24 + 0.0697989934050022*m.x25 <= 0.01)
m.c304 = Constraint(expr= 1.91763946973639*m.x1 - 1.88528298218436*m.x2 + 1.84775906502257*m.x3
- 1.80517056869972*m.x4 + 1.75763422532393*m.x5 - 1.70528032870818*m.x6
+ 1.64825237724403*m.x7 - 1.58670668058247*m.x8 + 1.52081193120006*m.x9
- 1.45074874202457*m.x10 + 1.37670915138751*m.x11 - 1.29889609666036*m.x12
+ 1.21752285801744*m.x13 - 1.13281247384967*m.x14 + 1.0449971294319*m.x15
- 0.954317520519214*m.x16 + 0.861022193616587*m.x17 - 0.765366864730182*m.x18
+ 0.667613718467544*m.x19 - 0.568030689407846*m.x20 + 0.466890727711811*m.x21
- 0.364471050984294*m.x22 + 0.261052384440103*m.x23 - 0.156918191455689*m.x24
+ 0.0523538966157463*m.x25 <= 0.01)
m.c305 = Constraint(expr= 1.50941916044555*m.x1 - 1.46270740323834*m.x2 + 1.41421356237309*m.x3
- 1.36399672012499*m.x4 + 1.31211805798102*m.x5 - 1.25864078209968*m.x6
+ 1.20363004630411*m.x7 - 1.1471528727021*m.x8 + 1.08927807003006*m.x9
- 1.03007614982011*m.x10 + 0.969619240492675*m.x11 - 0.907980999479092*m.x12
+ 0.845236523481407*m.x13 - 0.781462256978553*m.x14 + 0.716735899090603*m.x15
- 0.651136308914314*m.x16 + 0.584743409445478*m.x17 - 0.517638090205043*m.x18
+ 0.449902108687735*m.x19 - 0.381617990753092*m.x20 + 0.312868930080465*m.x21
- 0.243738686810295*m.x22 + 0.174311485495317*m.x23 - 0.104671912485889*m.x24
+ 0.0349048128745672*m.x25 <= 0.01)
m.c306 = Constraint(expr= 0.829386485312474*m.x1 - 0.79749813785049*m.x2 + 0.765366864730179*m.x3
- 0.733002453448596*m.x4 + 0.700414762518938*m.x5 - 0.667613718467533*m.x6
+ 0.634609312810177*m.x7 - 0.601411599008541*m.x8 + 0.568030689407842*m.x9
- 0.534476752156512*m.x10 + 0.500760008108883*m.x11 - 0.466890727711813*m.x12
+ 0.43287922787621*m.x13 - 0.398735868834387*m.x14 + 0.364471050984289*m.x15
- 0.330095211721351*m.x16 + 0.295618822259219*m.x17 - 0.261052384440103*m.x18
+ 0.226406427535815*m.x19 - 0.191691505040444*m.x20 + 0.156918191455688*m.x21
- 0.122097079069714*m.x22 + 0.0872387747306707*m.x23 - 0.052353896615747*m.x24
+ 0.0174530709967478*m.x25 <= 0.01)
m.c307 = Constraint(expr= 1.66589103522235E-14*m.x1 + 4.90230108040894E-15*m.x2 + 1.95819691736259E-15*m.x3
- 8.81869491513412E-15*m.x4 + 1.56791929129057E-14*m.x5 - 8.32883619547518E-15*m.x6
+ 9.78479478044706E-16*m.x7 - 7.83897747581624E-15*m.x8 + 4.88620758385765E-16*m.x9
- 7.3491187561573E-15*m.x10 - 1.23796127317672E-18*m.x11 - 6.85926003649835E-15*m.x12
- 4.91096680932118E-16*m.x13 - 6.36940131683941E-15*m.x14 - 9.80955400591059E-16*m.x15
- 5.87954259718047E-15*m.x16 - 1.47081412025E-15*m.x17 - 5.38968387752153E-15*m.x18
- 1.96067283990894E-15*m.x19 - 4.89982515786259E-15*m.x20 + 1.10218211923262E-15*m.x21
- 8.57252759403147E-16*m.x22 + 6.12323399573677E-16*m.x23 - 3.67394039744206E-16*m.x24
+ 1.22464679914735E-16*m.x25 <= 0.01)
| 87.878942 | 120 | 0.576323 | 32,679 | 259,155 | 4.570427 | 0.035497 | 0.028777 | 0.007432 | 0.005718 | 0.989395 | 0.989133 | 0.98296 | 0.98296 | 0.98296 | 0.975502 | 0 | 0.697751 | 0.295769 | 259,155 | 2,948 | 121 | 87.908752 | 0.120621 | 0.002408 | 0 | 0.001527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000382 | 0 | 0.000382 | 0 | 0 | 0 | 0 | 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 | 8 |
d2408744531b5d6e022ce9ec84ea61040f1b4c17 | 13,840 | py | Python | test/geometry/transform/test_affine.py | connorlee77/kornia | af5b1f76bedf2a7fc0e0da2386b1be3032b6534f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-10-21T05:13:51.000Z | 2021-10-21T05:13:51.000Z | test/geometry/transform/test_affine.py | connorlee77/kornia | af5b1f76bedf2a7fc0e0da2386b1be3032b6534f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-03-12T01:08:10.000Z | 2022-03-12T01:08:10.000Z | test/geometry/transform/test_affine.py | connorlee77/kornia | af5b1f76bedf2a7fc0e0da2386b1be3032b6534f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-02-09T02:19:32.000Z | 2021-02-09T02:19:32.000Z | import pytest
import kornia as kornia
import kornia.testing as utils # test utils
from test.common import device
import torch
from torch.autograd import gradcheck
from torch.testing import assert_allclose
class TestResize:
def test_smoke(self, device):
inp = torch.rand(1, 3, 3, 4).to(device)
out = kornia.resize(inp, (3, 4))
assert_allclose(inp, out)
def test_upsize(self, device):
inp = torch.rand(1, 3, 3, 4).to(device)
out = kornia.resize(inp, (6, 8))
assert out.shape == (1, 3, 6, 8)
def test_upsize(self, device):
inp = torch.rand(1, 3, 5, 2).to(device)
out = kornia.resize(inp, (3, 1))
assert out.shape == (1, 3, 3, 1)
def test_one_param(self, device):
inp = torch.rand(1, 3, 5, 2).to(device)
out = kornia.resize(inp, 10)
assert out.shape == (1, 3, 25, 10)
def test_gradcheck(self, device):
# test parameters
new_size = 4
input = torch.rand(1, 2, 3, 4).to(device)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.Resize(new_size), (input, ), raise_exception=True)
class TestRotate:
def test_angle90(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).to(device)
expected = torch.tensor([[
[0., 0.],
[4., 6.],
[3., 5.],
[0., 0.],
]]).to(device)
# prepare transformation
angle = torch.tensor([90.]).to(device)
transform = kornia.Rotate(angle)
assert_allclose(transform(inp), expected)
def test_angle90_batch2(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[0., 0.],
[4., 6.],
[3., 5.],
[0., 0.],
]], [[
[0., 0.],
[5., 3.],
[6., 4.],
[0., 0.],
]]]).to(device)
# prepare transformation
angle = torch.tensor([90., -90.]).to(device)
transform = kornia.Rotate(angle)
assert_allclose(transform(inp), expected)
def test_angle90_batch2_broadcast(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[0., 0.],
[4., 6.],
[3., 5.],
[0., 0.],
]], [[
[0., 0.],
[4., 6.],
[3., 5.],
[0., 0.],
]]]).to(device)
# prepare transformation
angle = torch.tensor([90.]).to(device)
transform = kornia.Rotate(angle)
assert_allclose(transform(inp), expected)
def test_gradcheck(self, device):
# test parameters
angle = torch.tensor([90.]).to(device)
angle = utils.tensor_to_gradcheck_var(
angle, requires_grad=False) # to var
# evaluate function gradient
input = torch.rand(1, 2, 3, 4).to(device)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.rotate, (input, angle,), raise_exception=True)
@pytest.mark.skip('Need deep look into it since crashes everywhere.')
@pytest.mark.skip(reason="turn off all jit for a while")
def test_jit(self, device):
angle = torch.tensor([90.]).to(device)
batch_size, channels, height, width = 2, 3, 64, 64
img = torch.ones(batch_size, channels, height, width).to(device)
rot = kornia.Rotate(angle)
rot_traced = torch.jit.trace(kornia.Rotate(angle), img)
assert_allclose(rot(img), rot_traced(img))
class TestTranslate:
def test_dxdy(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).to(device)
expected = torch.tensor([[
[0., 1.],
[0., 3.],
[0., 5.],
[0., 7.],
]]).to(device)
# prepare transformation
translation = torch.tensor([[1., 0.]]).to(device)
transform = kornia.Translate(translation)
assert_allclose(transform(inp), expected)
def test_dxdy_batch(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[0., 1.],
[0., 3.],
[0., 5.],
[0., 7.],
]], [[
[0., 0.],
[0., 1.],
[0., 3.],
[0., 5.],
]]]).to(device)
# prepare transformation
translation = torch.tensor([[1., 0.], [1., 1.]]).to(device)
transform = kornia.Translate(translation)
assert_allclose(transform(inp), expected)
def test_dxdy_batch_broadcast(self, device):
# prepare input data
inp = torch.tensor([[
[1., 2.],
[3., 4.],
[5., 6.],
[7., 8.],
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[0., 1.],
[0., 3.],
[0., 5.],
[0., 7.],
]], [[
[0., 1.],
[0., 3.],
[0., 5.],
[0., 7.],
]]]).to(device)
# prepare transformation
translation = torch.tensor([[1., 0.]]).to(device)
transform = kornia.Translate(translation)
assert_allclose(transform(inp), expected)
def test_gradcheck(self, device):
# test parameters
translation = torch.tensor([[1., 0.]]).to(device)
translation = utils.tensor_to_gradcheck_var(
translation, requires_grad=False) # to var
# evaluate function gradient
input = torch.rand(1, 2, 3, 4).to(device)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.translate, (input, translation,),
raise_exception=True)
@pytest.mark.skip('Need deep look into it since crashes everywhere.')
@pytest.mark.skip(reason="turn off all jit for a while")
def test_jit(self, device):
translation = torch.tensor([[1., 0.]]).to(device)
batch_size, channels, height, width = 2, 3, 64, 64
img = torch.ones(batch_size, channels, height, width).to(device)
trans = kornia.Translate(translation)
trans_traced = torch.jit.trace(kornia.Translate(translation), img)
assert_allclose(trans(img), trans_traced(img))
class TestScale:
def test_scale_factor_2(self, device):
# prepare input data
inp = torch.tensor([[
[0., 0., 0., 0.],
[0., 1., 1., 0.],
[0., 1., 1., 0.],
[0., 0., 0., 0.]
]]).to(device)
# prepare transformation
scale_factor = torch.tensor([2.]).to(device)
transform = kornia.Scale(scale_factor)
assert_allclose(transform(inp).sum().item(), 12.25)
def test_scale_factor_05(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).to(device)
expected = torch.tensor([[
[0., 0., 0., 0.],
[0., 1., 1., 0.],
[0., 1., 1., 0.],
[0., 0., 0., 0.]
]]).to(device)
# prepare transformation
scale_factor = torch.tensor([0.5]).to(device)
transform = kornia.Scale(scale_factor)
assert_allclose(transform(inp), expected)
def test_scale_factor_05_batch2(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[
[0., 0., 0., 0.],
[0., 1., 1., 0.],
[0., 1., 1., 0.],
[0., 0., 0., 0.]
]]).to(device)
# prepare transformation
scale_factor = torch.tensor([0.5, 0.5]).to(device)
transform = kornia.Scale(scale_factor)
assert_allclose(transform(inp), expected)
def test_scale_factor_05_batch2_broadcast(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[
[0., 0., 0., 0.],
[0., 1., 1., 0.],
[0., 1., 1., 0.],
[0., 0., 0., 0.]
]]).to(device)
# prepare transformation
scale_factor = torch.tensor([0.5]).to(device)
transform = kornia.Scale(scale_factor)
assert_allclose(transform(inp), expected)
def test_gradcheck(self, device):
# test parameters
scale_factor = torch.tensor([0.5]).to(device)
scale_factor = utils.tensor_to_gradcheck_var(
scale_factor, requires_grad=False) # to var
# evaluate function gradient
input = torch.rand(1, 2, 3, 4).to(device)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.scale, (input, scale_factor,),
raise_exception=True)
@pytest.mark.skip('Need deep look into it since crashes everywhere.')
@pytest.mark.skip(reason="turn off all jit for a while")
def test_jit(self, device):
scale_factor = torch.tensor([0.5]).to(device)
batch_size, channels, height, width = 2, 3, 64, 64
img = torch.ones(batch_size, channels, height, width).to(device)
trans = kornia.Scale(scale_factor)
trans_traced = torch.jit.trace(kornia.Scale(scale_factor), img)
assert_allclose(trans(img), trans_traced(img))
class TestShear:
def test_shear_x(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).to(device)
expected = torch.tensor([[
[1., 1., 1., 1.],
[.5, 1., 1., 1.],
[0., 1., 1., 1.],
[0., .5, 1., 1.]
]]).to(device)
# prepare transformation
shear = torch.tensor([[0.5, 0.0]]).to(device)
transform = kornia.Shear(shear)
assert_allclose(transform(inp), expected)
def test_shear_y(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).to(device)
expected = torch.tensor([[
[1., .5, 0., 0.],
[1., 1., 1., .5],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).to(device)
# prepare transformation
shear = torch.tensor([[0.0, 0.5]]).to(device)
transform = kornia.Shear(shear)
assert_allclose(transform(inp), expected)
def test_shear_batch2(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[1., 1., 1., 1.],
[.5, 1., 1., 1.],
[0., 1., 1., 1.],
[0., .5, 1., 1.]
]], [[
[1., .5, 0., 0.],
[1., 1., 1., .5],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]]).to(device)
# prepare transformation
shear = torch.tensor([[0.5, 0.0], [0.0, 0.5]]).to(device)
transform = kornia.Shear(shear)
assert_allclose(transform(inp), expected)
def test_shear_batch2_broadcast(self, device):
# prepare input data
inp = torch.tensor([[
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]
]]).repeat(2, 1, 1, 1).to(device)
expected = torch.tensor([[[
[1., 1., 1., 1.],
[.5, 1., 1., 1.],
[0., 1., 1., 1.],
[0., .5, 1., 1.]
]]]).to(device)
# prepare transformation
shear = torch.tensor([[0.5, 0.0]]).to(device)
transform = kornia.Shear(shear)
assert_allclose(transform(inp), expected)
def test_gradcheck(self, device):
# test parameters
shear = torch.tensor([[0.5, 0.0]]).to(device)
shear = utils.tensor_to_gradcheck_var(
shear, requires_grad=False) # to var
# evaluate function gradient
input = torch.rand(1, 2, 3, 4).to(device)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.shear, (input, shear,), raise_exception=True)
@pytest.mark.skip('Need deep look into it since crashes everywhere.')
@pytest.mark.skip(reason="turn off all jit for a while")
def test_jit(self, device):
shear = torch.tensor([[0.5, 0.0]]).to(device)
batch_size, channels, height, width = 2, 3, 64, 64
img = torch.ones(batch_size, channels, height, width).to(device)
trans = kornia.Shear(shear)
trans_traced = torch.jit.trace(kornia.Shear(shear), img)
assert_allclose(trans(img), trans_traced(img))
| 32.641509 | 82 | 0.48685 | 1,678 | 13,840 | 3.932658 | 0.066746 | 0.052432 | 0.060464 | 0.06304 | 0.890741 | 0.861343 | 0.840127 | 0.825428 | 0.806637 | 0.778148 | 0 | 0.064083 | 0.33815 | 13,840 | 423 | 83 | 32.718676 | 0.656332 | 0.061344 | 0 | 0.80117 | 0 | 0 | 0.023488 | 0 | 0 | 0 | 0 | 0 | 0.081871 | 1 | 0.078947 | false | 0 | 0.020468 | 0 | 0.114035 | 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 |
d2550633518e9185fbe163e3cc99e5b5c172d0f9 | 1,873 | py | Python | core/migrations/0022_alter_default_date_and_time.py | Alberdi/babybuddy | b2c228fac9d8a7d3abfaf284b37174594493a185 | [
"BSD-2-Clause"
] | 922 | 2017-10-26T13:15:40.000Z | 2020-02-05T19:06:13.000Z | core/migrations/0022_alter_default_date_and_time.py | Alberdi/babybuddy | b2c228fac9d8a7d3abfaf284b37174594493a185 | [
"BSD-2-Clause"
] | 109 | 2017-10-26T14:00:30.000Z | 2020-02-05T23:37:11.000Z | core/migrations/0022_alter_default_date_and_time.py | Alberdi/babybuddy | b2c228fac9d8a7d3abfaf284b37174594493a185 | [
"BSD-2-Clause"
] | 87 | 2017-10-26T13:15:54.000Z | 2020-01-25T12:49:46.000Z | # Generated by Django 4.0.4 on 2022-04-12 02:07
import django.utils.timezone
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("core", "0021_pumping"),
]
operations = [
migrations.AlterField(
model_name="bmi",
name="date",
field=models.DateField(
default=django.utils.timezone.localdate, verbose_name="Date"
),
),
migrations.AlterField(
model_name="diaperchange",
name="time",
field=models.DateTimeField(
default=django.utils.timezone.localtime, verbose_name="Time"
),
),
migrations.AlterField(
model_name="headcircumference",
name="date",
field=models.DateField(
default=django.utils.timezone.localdate, verbose_name="Date"
),
),
migrations.AlterField(
model_name="height",
name="date",
field=models.DateField(
default=django.utils.timezone.localdate, verbose_name="Date"
),
),
migrations.AlterField(
model_name="note",
name="time",
field=models.DateTimeField(
default=django.utils.timezone.localtime, verbose_name="Time"
),
),
migrations.AlterField(
model_name="temperature",
name="time",
field=models.DateTimeField(
default=django.utils.timezone.localtime, verbose_name="Time"
),
),
migrations.AlterField(
model_name="weight",
name="date",
field=models.DateField(
default=django.utils.timezone.localdate, verbose_name="Date"
),
),
]
| 29.265625 | 76 | 0.532835 | 157 | 1,873 | 6.261147 | 0.280255 | 0.089522 | 0.154629 | 0.206511 | 0.744659 | 0.744659 | 0.744659 | 0.744659 | 0.744659 | 0.744659 | 0 | 0.01582 | 0.358783 | 1,873 | 63 | 77 | 29.730159 | 0.802664 | 0.024026 | 0 | 0.736842 | 1 | 0 | 0.071742 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.035088 | 0 | 0.087719 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 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 |
9676c6b03ef872d2971f85f8a310f037dcd15567 | 3,269 | py | Python | GitHub User Info using tkinter/code.py | Ranjul-Arumadi/Mini-Projects | cecc8aade59f858ebac64bd7e30832bc80ef2a97 | [
"MIT"
] | 1 | 2021-06-23T18:49:30.000Z | 2021-06-23T18:49:30.000Z | GitHub User Info using tkinter/code.py | Ranjul-Arumadi/Mini-Projects | cecc8aade59f858ebac64bd7e30832bc80ef2a97 | [
"MIT"
] | null | null | null | GitHub User Info using tkinter/code.py | Ranjul-Arumadi/Mini-Projects | cecc8aade59f858ebac64bd7e30832bc80ef2a97 | [
"MIT"
] | null | null | null | import tkinter as tk
import requests
HEIGHT = 500
WIDTH = 600
def format_response(user_data):
try:
name = user_data['name']
usrid = user_data['id']
company = user_data['company']
login = user_data['login']
followers = user_data['followers']
following = user_data['following']
final_str = 'Name: %s \n id: %s \n Company: %s \n Login: %s \n Followers: %s \n Following: %s' % (name, usrid, company, login, followers, following)
except:
final_str = 'There was a problem retrieving that information'
return final_str
def get_user_data(userName):
url = f"https://api.github.com/users/{userName}"
user_data = requests.get(url).json()
label['text'] = format_response(user_data)
root = tk.Tk()
root.title('Dimport tkinter as tk
import tkinter as tk
import requests
HEIGHT = 500
WIDTH = 600
def format_response(user_data):
try:
name = user_data['name']
usrid = user_data['id']
company = user_data['company']
login = user_data['login']
followers = user_data['followers']
following = user_data['following']
final_str = 'Name: %s \n id: %s \n Company: %s \n Login: %s \n Followers: %s \n Following: %s' % (name, usrid, company, login, followers, following)
except:
final_str = 'There was a problem retrieving that information'
return final_str
def get_user_data(userName):
url = f"https://api.github.com/users/{userName}"
user_data = requests.get(url).json()
label['text'] = format_response(user_data)
root = tk.Tk()
root.title('Github User Info')
canvas = tk.Canvas(root, height=HEIGHT, width=WIDTH)
canvas.pack()
background_image = tk.PhotoImage(file='wallpaper.png')
background_label = tk.Label(root, image=background_image)
background_label.place(relwidth=1, relheight=1)
frame = tk.Frame(root, bg='#00050a', bd=5)
frame.place(relx=0.5, rely=0.1, relwidth=0.75, relheight=0.1, anchor='n')
entry = tk.Entry(frame, font=40)
entry.place(relwidth=0.65, relheight=1)
button = tk.Button(frame, text="Get details", font=40, command=lambda: get_user_data(entry.get()))
button.place(relx=0.7, relheight=1, relwidth=0.3)
lower_frame = tk.Frame(root, bg='#00050a', bd=10)
lower_frame.place(relx=0.5, rely=0.25, relwidth=0.75, relheight=0.6, anchor='n')
label = tk.Label(lower_frame)
label.place(relwidth=1, relheight=1)
root.mainloop()')
canvas = tk.Canvas(root, height=HEIGHT, width=WIDTH)
canvas.pack()
background_image = tk.PhotoImage(file='wallpaper.png')
background_label = tk.Label(root, image=background_image)
background_label.place(relwidth=1, relheight=1)
frame = tk.Frame(root, bg='#00050a', bd=5)
frame.place(relx=0.5, rely=0.1, relwidth=0.75, relheight=0.1, anchor='n')
entry = tk.Entry(frame, font=40)
entry.place(relwidth=0.65, relheight=1)
button = tk.Button(frame, text="Get details", font=40, command=lambda: get_user_data(entry.get()))
button.place(relx=0.7, relheight=1, relwidth=0.3)
lower_frame = tk.Frame(root, bg='#00050a', bd=10)
lower_frame.place(relx=0.5, rely=0.25, relwidth=0.75, relheight=0.6, anchor='n')
label = tk.Label(lower_frame)
label.place(relwidth=1, relheight=1)
root.mainloop()
| 27.470588 | 156 | 0.675436 | 491 | 3,269 | 4.395112 | 0.179226 | 0.081557 | 0.027804 | 0.040779 | 0.985171 | 0.985171 | 0.985171 | 0.985171 | 0.985171 | 0.985171 | 0 | 0.04065 | 0.172224 | 3,269 | 118 | 157 | 27.70339 | 0.756837 | 0 | 0 | 0.947368 | 0 | 0.052632 | 0.155399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.065789 | 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 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
96aa7211ee9e78b2d432b7450375c76eff010956 | 173 | py | Python | tests/unit/cli/commands/command_init_test.py | nichelia/ekrhizoc | 1d14ec10dc3e4fd34b45cff7640a56ad0d9f5e6c | [
"MIT"
] | null | null | null | tests/unit/cli/commands/command_init_test.py | nichelia/ekrhizoc | 1d14ec10dc3e4fd34b45cff7640a56ad0d9f5e6c | [
"MIT"
] | 88 | 2020-02-16T02:16:56.000Z | 2021-08-03T06:39:11.000Z | tests/unit/cli/commands/command_init_test.py | nichelia/ekrhizoc | 1d14ec10dc3e4fd34b45cff7640a56ad0d9f5e6c | [
"MIT"
] | null | null | null | """command_init_test
"""
from ekrhizoc.cli.commands import COMMANDS
def test_commands():
"""test_commands
"""
assert [C().name for C in COMMANDS] == ["crawl"]
| 17.3 | 52 | 0.653179 | 22 | 173 | 4.954545 | 0.681818 | 0.220183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184971 | 173 | 9 | 53 | 19.222222 | 0.77305 | 0.208092 | 0 | 0 | 0 | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
fbcbc9133f43874c74aa1491006f01894de94488 | 14,204 | py | Python | HIL/utils/rules.py | fkie-cad/ipal_datasets | 1ac7037150288937de954918733c06389e581f09 | [
"MIT"
] | 5 | 2021-11-08T16:57:54.000Z | 2022-03-28T01:51:09.000Z | HIL/utils/rules.py | fkie-cad/ipal_datasets | 1ac7037150288937de954918733c06389e581f09 | [
"MIT"
] | null | null | null | HIL/utils/rules.py | fkie-cad/ipal_datasets | 1ac7037150288937de954918733c06389e581f09 | [
"MIT"
] | null | null | null | JS = {
"protocols": ["modbus"],
"rename": {
"84.3.251.18:502:[0-9]+": "PLC1",
"84.3.251.101:502:[0-2]": "PLC2",
"84.3.251.102:502:[0-5]": "PLC3",
"84.3.251.103:502:[0-5]": "PLC4",
},
"rules": [
# Tank 1-8
{
"src": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_1",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_1",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Tank_2",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Tank_2",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.3"],
"method": lambda x: x[0],
"name": "Tank_3",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.3"],
"method": lambda x: x[0],
"name": "Tank_3",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.4"],
"method": lambda x: x[0],
"name": "Tank_4",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.4"],
"method": lambda x: x[0],
"name": "Tank_4",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.5"],
"method": lambda x: x[0],
"name": "Tank_5",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "3",
"var": ["holding.register.5"],
"method": lambda x: x[0],
"name": "Tank_5",
"remove": True,
},
{
"src": "84.3.251.101:502:[0-2]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_6",
"remove": True,
},
{
"dest": "84.3.251.101:502:[0-2]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_6",
"remove": True,
},
{
"src": "84.3.251.102:502:[0-5]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_7",
"remove": True,
},
{
"dest": "84.3.251.102:502:[0-5]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_7",
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_8",
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.1"],
"method": lambda x: x[0],
"name": "Tank_8",
"remove": True,
},
# Pump 1-6
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.20"],
"method": lambda x: x[0] == 1,
"name": "Pump_1",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.20"],
"method": lambda x: x[0] == 1,
"name": "Pump_1",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.21"],
"method": lambda x: x[0] == 1,
"name": "Pump_2",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.21"],
"method": lambda x: x[0] == 1,
"name": "Pump_2",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.22"],
"method": lambda x: x[0] == 1,
"name": "Pump_3",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.22"],
"method": lambda x: x[0] == 1,
"name": "Pump_3",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.23"],
"method": lambda x: x[0] == 1,
"name": "Pump_4",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.23"],
"method": lambda x: x[0] == 1,
"name": "Pump_4",
"remove": True,
},
{
"src": "84.3.251.102:502:[0-5]",
"type": "1",
"var": ["coil.1"],
"method": lambda x: x[0] == 1,
"name": "Pump_5",
"remove": True,
},
{
"dest": "84.3.251.102:502:[0-5]",
"type": "1",
"var": ["coil.1"],
"method": lambda x: x[0] == 1,
"name": "Pump_5",
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"type": "1",
"var": ["coil.1"],
"method": lambda x: x[0] == 1,
"name": "Pump_6",
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"type": "1",
"var": ["coil.1"],
"method": lambda x: x[0] == 1,
"name": "Pump_6",
"remove": True,
},
# Flow sensor 1,2,4
{
"src": "84.3.251.102:502:[0-5]",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Flow_sensor_1",
"remove": True,
},
{
"dest": "84.3.251.102:502:[0-5]",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Flow_sensor_1",
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Flow_sensor_2",
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.2"],
"method": lambda x: x[0],
"name": "Flow_sensor_2",
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.3"],
"method": lambda x: x[0],
"name": "Flow_sensor_4",
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"type": "3",
"var": ["holding.register.3"],
"method": lambda x: x[0],
"name": "Flow_sensor_4",
"remove": True,
},
# Valve 10-15,17,18,20,22
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.39"],
"method": lambda x: x[0] == 1,
"name": "Valv_10",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.39"],
"method": lambda x: x[0] == 1,
"name": "Valv_10",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.40"],
"method": lambda x: x[0] == 1,
"name": "Valv_11",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.40"],
"method": lambda x: x[0] == 1,
"name": "Valv_11",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.41"],
"method": lambda x: x[0] == 1,
"name": "Valv_12",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.41"],
"method": lambda x: x[0] == 1,
"name": "Valv_12",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.42"],
"method": lambda x: x[0] == 1,
"name": "Valv_13",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.42"],
"method": lambda x: x[0] == 1,
"name": "Valv_13",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.43"],
"method": lambda x: x[0] == 1,
"name": "Valv_14",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.43"],
"method": lambda x: x[0] == 1,
"name": "Valv_14",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.44"],
"method": lambda x: x[0] == 1,
"name": "Valv_15",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.44"],
"method": lambda x: x[0] == 1,
"name": "Valv_15",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.46"],
"method": lambda x: x[0] == 1,
"name": "Valv_17",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.46"],
"method": lambda x: x[0] == 1,
"name": "Valv_17",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.47"],
"method": lambda x: x[0] == 1,
"name": "Valv_18",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.47"],
"method": lambda x: x[0] == 1,
"name": "Valv_18",
"remove": True,
},
{
"src": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.49"],
"method": lambda x: x[0] == 1,
"name": "Valv_20",
"remove": True,
},
{
"dest": "84.3.251.18:502:[0-9]+",
"type": "1",
"var": ["coil.49"],
"method": lambda x: x[0] == 1,
"name": "Valv_20",
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"type": "1",
"var": ["coil.2"],
"method": lambda x: x[0] == 1,
"name": "Valv_22",
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"type": "1",
"var": ["coil.2"],
"method": lambda x: x[0] == 1,
"name": "Valv_22",
"remove": True,
},
# Remove empty registers
{
"src": "84.3.251.18:502:[0-9]+",
"var": [
"holding.register.5",
"coil.0",
"coil.1",
"coil.2",
"coil.3",
"coil.4",
"coil.5",
"coil.6",
"coil.7",
"coil.30",
"coil.31",
"coil.32",
"coil.33",
"coil.34",
"coil.35",
"coil.36",
"coil.37",
"coil.38",
"coil.45",
"coil.48",
"coil.49",
],
"remove": True,
},
{"dest": "84.3.251.18:502:[0-9]+", "var": ["coil.50"], "remove": True},
{
"src": "84.3.251.101:502:[0-2]",
"var": ["holding.register.1", "coil.1"],
"remove": True,
},
{
"src": "84.3.251.102:502:[0-5]",
"var": ["holding.register.1", "holding.register.3", "coil.2"],
"remove": True,
},
{
"dest": "84.3.251.102:502:[0-5]",
"var": ["holding.register.3"],
"remove": True,
},
{
"src": "84.3.251.103:502:[0-5]",
"var": ["holding.register.3"],
"remove": True,
},
{
"dest": "84.3.251.103:502:[0-5]",
"var": ["holding.register.3"],
"remove": True,
},
],
}
| 28.294821 | 79 | 0.315052 | 1,504 | 14,204 | 2.935505 | 0.052527 | 0.044168 | 0.088335 | 0.171234 | 0.935674 | 0.935674 | 0.935674 | 0.921857 | 0.916874 | 0.916648 | 0 | 0.160957 | 0.46156 | 14,204 | 501 | 80 | 28.351297 | 0.416318 | 0.005773 | 0 | 0.685484 | 0 | 0 | 0.306107 | 0.101303 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
83b71a9422adfb9ae87a6b4be6fea84626caeef4 | 28,672 | py | Python | EvaluationFunctions/LoadFrameworkDesignsFilenames.py | Lucciola111/stream_autoencoder_windowing | 5456b07bd20220c987598db2cdb832d8195e1575 | [
"MIT"
] | 4 | 2021-09-16T05:50:25.000Z | 2021-12-31T07:04:55.000Z | EvaluationFunctions/LoadFrameworkDesignsFilenames.py | Lucciola111/stream_autoencoder_windowing | 5456b07bd20220c987598db2cdb832d8195e1575 | [
"MIT"
] | null | null | null | EvaluationFunctions/LoadFrameworkDesignsFilenames.py | Lucciola111/stream_autoencoder_windowing | 5456b07bd20220c987598db2cdb832d8195e1575 | [
"MIT"
] | 1 | 2021-12-16T06:53:08.000Z | 2021-12-16T06:53:08.000Z | import sys
def load_framework_designs_filenames(experiment):
"""
Parameters
----------
experiment: Identifier of experiment for evaluation
Returns the path and name of the dataset and a list with the file names of the results
-------
"""
result_file_names = {}
# Experiments normal distribution
if experiment == 'onlyMeanDrift_VerySmallVariance_50DR_RandomNormal_Min1DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_00.57_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_01.20_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_10.40_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_11.07_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_11.27_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.01_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-10_10.32.pickle_2021-08-12_11.48_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == 'onlyMeanDrift_SmallVariance_50DR_RandomNormal_Min1DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_01.57_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_02.22_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_02.59_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_03.48_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_04.17_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.05_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.42.pickle_2021-08-13_04.54_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == 'onlyMeanDrift_HigherVariance_50DR_RandomNormal_Min1DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_06.13_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_06.46_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_08.41_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_10.57_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_11.48_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyMeanDrift_var0.25_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.45.pickle_2021-08-13_15.53_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == 'onlyVarianceDrift_50DR_RandomNormal_Min1DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-08_19.34_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-08_20.07_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-08_21.38_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-08_23.52_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-09_00.40_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_onlyVarianceDrift_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_11.15.pickle_2021-08-09_02.41_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '50DR_RandomNormal_Min100DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_04.49_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_05.24_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_06.26_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_08.23_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_09.01_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_100MinDimBroken_300MinL_2000MaxL_2021-08-06_10.54.pickle_2021-08-09_10.28_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '50DR_RandomNormal_Min1DimsBroken':
path = "Generated_Streams/Drift_Labels/"
dataset = "RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle""RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-09_12.16_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-09_12.50_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-09_14.03_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-09_16.18_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-09_17.06_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_300MinL_2000MaxL_2021-08-06_10.53.pickle_2021-08-12_11.48_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
# Experiments other datasets
elif experiment == '100DR_Merged_Min1Broken':
path = "Generated_Streams/Drift_Labels/"
dataset = "Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_50DR_100Dims_1MinDimBroken_DATASET_B_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_01.34_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_10.52_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_11.59_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_13.43_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_14.21_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Mixed_300MinDistance_DATASET_A_RandomNumpyRandomNormalUniform_DATASET_B_RandomRandomRBF.pickle_2021-08-12_15.59_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '50DR_RandomRandomRBF_Min1DriftCentroid_0to1CS':
path = "Generated_Streams/Drift_And_Classifier_Labels/"
dataset = "RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_01.15_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_01.48_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_03.04_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_05.01_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_05.44_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomRandomRBF_50DR_100Dims_50Centroids_1MinDriftCentroids_300MinL_2000MaxL_2021-08-06_10.57.pickle_2021-08-09_07.42_10ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '50DR_RandomMNIST_(Fashion)MNIST_SortAllNumbers':
path = "Generated_Streams/Image_Data_Drift_And_Classifier_Labels/"
dataset = "RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-09_11.34_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-09_12.38_10ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-11_04.16_1ITERATIONS__fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-11_05.35_1ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-11_06.05_1ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_RandomMNIST_and_FashionMNIST_SortAllNumbers19DR_2021-08-06_11.07.pickle_2021-08-11_09.40_1ITERATIONS__fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
# Experiments Time Complexity Analysis
elif experiment == '10Dim':
path = "Generated_Streams/Drift_Labels/"
dataset = "Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_17.32_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_17.37_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_17.53_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_18.03_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_18.10_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_10Dims_1MinDimBroken_300MinL_2000MaxL_2021-09-06_22.24.pickle_2021-09-07_18.25_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '50Dim':
path = "Generated_Streams/Drift_Labels/"
dataset = "Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_18.51_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_19.02_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_19.30_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_19.53_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_20.03_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_50Dims_5MinDimBroken_300MinL_2000MaxL_2021-09-06_22.25.pickle_2021-09-07_20.29_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '100Dim':
path = "Generated_Streams/Drift_Labels/"
dataset = "Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_20.56_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_21.13_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_21.42_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_22.19_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_22.37_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_100Dims_10MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_23.00_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '500Dim':
path = "Generated_Streams/Drift_Labels/"
dataset = "Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-07_23.46_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-08_00.06_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-08_00.59_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-08_01.32_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-08_01.52_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_500Dims_50MinDimBroken_300MinL_2000MaxL_2021-09-06_22.26.pickle_2021-09-08_02.20_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
elif experiment == '1000Dim':
path = "Generated_Streams/Drift_Labels/"
dataset = "Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle"
result_file_names["FILE_TrainNewAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_03.21_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_04.06_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_TrainNewAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_05.24_10ITERATIONS_0.5ENCODER_fitNewAETrue_fitFalse_initNewADWINTrue_feedNewADWINTrue'
result_file_names["FILE_RetrainAE_KeepADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_06.37_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINFalse_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_07.07_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINFalse'
result_file_names["FILE_RetrainAE_InitializeAndFeedADWIN"] = 'SAW_Autoencoder_ADWIN_Training_Time_RandomNumpyRandomNormalUniform_10DR_1000Dims_100MinDimBroken_300MinL_2000MaxL_2021-09-06_22.27.pickle_2021-09-08_08.11_10ITERATIONS_0.5ENCODER_fitNewAEFalse_fitTrue_initNewADWINTrue_feedNewADWINTrue'
else:
print("Error: Experiment identifier does not exist!")
sys.exit()
return path, dataset, result_file_names
| 160.178771 | 310 | 0.895194 | 3,242 | 28,672 | 7.239358 | 0.053362 | 0.028377 | 0.054964 | 0.098935 | 0.960588 | 0.949084 | 0.946954 | 0.94052 | 0.928504 | 0.896634 | 0 | 0.134259 | 0.052595 | 28,672 | 178 | 311 | 161.078652 | 0.729753 | 0.009277 | 0 | 0.090226 | 0 | 0 | 0.855657 | 0.853084 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007519 | false | 0 | 0.007519 | 0 | 0.022556 | 0.007519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
83e742b807790794be8efb6bbc6f56f99fb639c3 | 38,683 | py | Python | electrumsv/tests/test_transaction.py | electrumsv/electrumsv | a2d9027ccec338cadfca778888e6ef7f077b1651 | [
"MIT"
] | 136 | 2019-01-10T15:49:09.000Z | 2022-02-20T04:46:39.000Z | electrumsv/tests/test_transaction.py | electrumsv/electrumsv | a2d9027ccec338cadfca778888e6ef7f077b1651 | [
"MIT"
] | 790 | 2019-01-07T01:53:35.000Z | 2022-03-30T23:04:28.000Z | electrumsv/tests/test_transaction.py | electrumsv/electrumsv | a2d9027ccec338cadfca778888e6ef7f077b1651 | [
"MIT"
] | 65 | 2019-01-10T23:55:30.000Z | 2021-12-19T06:47:13.000Z | import json
from typing import cast
from bitcoinx import bip32_key_from_string, BIP32PublicKey, P2PKH_Address, PrivateKey, \
PublicKey, Tx
import pytest
from electrumsv.bitcoin import address_from_string
from electrumsv.constants import KeystoreTextType
from electrumsv.keystore import BIP32_KeyStore, Old_KeyStore, instantiate_keystore_from_text
from electrumsv.transaction import XPublicKey, Transaction, TransactionContext, NO_SIGNATURE
unsigned_blob = '010000000149f35e43fefd22d8bb9e4b3ff294c6286154c25712baf6ab77b646e5074d6aed010000005701ff4c53ff0488b21e0000000000000000004f130d773e678a58366711837ec2e33ea601858262f8eaef246a7ebd19909c9a03c3b30e38ca7d797fee1223df1c9827b2a9f3379768f520910260220e0560014600002300feffffffd8e43201000000000118e43201000000001976a914e158fb15c888037fdc40fb9133b4c1c3c688706488ac5fbd0700'
signed_blob = '010000000149f35e43fefd22d8bb9e4b3ff294c6286154c25712baf6ab77b646e5074d6aed010000006a473044022025bdc804c6fe30966f6822dc25086bc6bb0366016e68e880cf6efd2468921f3202200e665db0404f6d6d9f86f73838306ac55bb0d0f6040ac6047d4e820f24f46885412103b5bbebceeb33c1b61f649596b9c3611c6b2853a1f6b48bce05dd54f667fa2166feffffff0118e43201000000001976a914e158fb15c888037fdc40fb9133b4c1c3c688706488ac5fbd0700'
v2_blob = "0200000001191601a44a81e061502b7bfbc6eaa1cef6d1e6af5308ef96c9342f71dbf4b9b5000000006b483045022100a6d44d0a651790a477e75334adfb8aae94d6612d01187b2c02526e340a7fd6c8022028bdf7a64a54906b13b145cd5dab21a26bd4b85d6044e9b97bceab5be44c2a9201210253e8e0254b0c95776786e40984c1aa32a7d03efa6bdacdea5f421b774917d346feffffff026b20fa04000000001976a914024db2e87dd7cfd0e5f266c5f212e21a31d805a588aca0860100000000001976a91421919b94ae5cefcdf0271191459157cdb41c4cbf88aca6240700"
class TestTransaction:
def test_tx_unsigned(self):
tx = Transaction.from_extended_bytes(bytes.fromhex(unsigned_blob))
assert tx.version == 1
assert len(tx.inputs) == 1
txin = tx.inputs[0]
assert txin.prev_hash.hex() == '49f35e43fefd22d8bb9e4b3ff294c6286154c25712baf6ab77b646e5074d6aed'
assert txin.prev_idx == 1
assert txin.script_sig.to_hex() == '01ff4c53ff0488b21e0000000000000000004f130d773e678a58366711837ec2e33ea601858262f8eaef246a7ebd19909c9a03c3b30e38ca7d797fee1223df1c9827b2a9f3379768f520910260220e0560014600002300'
assert txin.script_length == 87
assert txin.script_offset == 42
assert txin.sequence == 4294967294
assert txin.value == 20112600
assert txin.signatures == [NO_SIGNATURE]
assert txin.x_pubkeys == [XPublicKey.from_hex('ff0488b21e0000000000000000004f130d773e678a58366711837ec2e33ea601858262f8eaef246a7ebd19909c9a03c3b30e38ca7d797fee1223df1c9827b2a9f3379768f520910260220e0560014600002300')]
assert txin.threshold == 1
txout = tx.outputs[0]
assert txout.value == 20112408 and txout.script_pubkey == cast(P2PKH_Address, address_from_string('1MYXdf4moacvaEKZ57ozerpJ3t9xSeN6LK')).to_script()
assert txout.script_length == 25
assert txout.script_offset == 151
assert tx.locktime == 507231
assert json.dumps(tx.to_dict(TransactionContext())) == '{"version": 1, "hex": "010000000149f35e43fefd22d8bb9e4b3ff294c6286154c25712baf6ab77b646e5074d6aed010000002401ff2103b5bbebceeb33c1b61f649596b9c3611c6b2853a1f6b48bce05dd54f667fa2166feffffff0118e43201000000001976a914e158fb15c888037fdc40fb9133b4c1c3c688706488ac5fbd0700", "complete": false, "inputs": [{"script_type": 2, "threshold": 1, "value": 20112600, "signatures": ["ff"], "x_pubkeys": [{"bip32_xpub": "xpub661MyMwAqRbcFL6WFqND2XM2w1EfpBwFfhsSUcw9xDR3nH8eYLv4z4HAhxv5zkqjHojWsPYK1ZSK7yCr8fZ9iWU6D361G2ryv5UgsKjbeDq", "derivation_path": [0, 35]}]}]}'
def test_tx_signed(self):
# This is testing the extended parsing for a signed transaction.
tx_bytes = bytes.fromhex(signed_blob)
tx = Transaction.from_extended_bytes(tx_bytes)
assert tx.version == 1
assert len(tx.inputs) == 1
txin = tx.inputs[0]
assert txin.prev_hash.hex() == '49f35e43fefd22d8bb9e4b3ff294c6286154c25712baf6ab77b646e5074d6aed'
assert txin.prev_idx == 1
assert txin.script_sig.to_hex() == '473044022025bdc804c6fe30966f6822dc25086bc6bb0366016e68e880cf6efd2468921f3202200e665db0404f6d6d9f86f73838306ac55bb0d0f6040ac6047d4e820f24f46885412103b5bbebceeb33c1b61f649596b9c3611c6b2853a1f6b48bce05dd54f667fa2166'
assert txin.script_length == 106
assert txin.script_offset == 42
assert txin.sequence == 4294967294
assert txin.signatures == [bytes.fromhex('3044022025bdc804c6fe30966f6822dc25086bc6bb0366016e68e880cf6efd2468921f3202200e665db0404f6d6d9f86f73838306ac55bb0d0f6040ac6047d4e820f24f4688541')]
assert txin.x_pubkeys == [XPublicKey.from_hex('03b5bbebceeb33c1b61f649596b9c3611c6b2853a1f6b48bce05dd54f667fa2166')]
assert txin.threshold == 1
txout = tx.outputs[0]
assert txout.value == 20112408 and txout.script_pubkey == cast(P2PKH_Address, address_from_string('1MYXdf4moacvaEKZ57ozerpJ3t9xSeN6LK')).to_script()
assert txout.script_length == 25
assert txout.script_offset == 162
assert tx.locktime == 507231
assert tx.to_dict(TransactionContext()) == {'hex': signed_blob, 'complete': True, 'version': 1}
assert tx.serialize() == signed_blob
tx.update_signatures(signed_blob)
assert sum(tx.estimated_size()) == len(tx_bytes)
def test_parse_xpub(self):
res = XPublicKey.from_hex('fe4e13b0f311a55b8a5db9a32e959da9f011b131019d4cebe6141b9e2c93edcbfc0954c358b062a9f94111548e50bde5847a3096b8b7872dcffadb0e9579b9017b01000200').to_address()
assert res == address_from_string('19h943e4diLc68GXW7G75QNe2KWuMu7BaJ')
def test_version_field(self):
tx = Transaction.from_hex(v2_blob)
assert tx.txid() == "b97f9180173ab141b61b9f944d841e60feec691d6daab4d4d932b24dd36606fe"
def test_txid_coinbase_to_p2pk(self):
tx = Transaction.from_hex('01000000010000000000000000000000000000000000000000000000000000000000000000ffffffff4103400d0302ef02062f503253482f522cfabe6d6dd90d39663d10f8fd25ec88338295d4c6ce1c90d4aeb368d8bdbadcc1da3b635801000000000000000474073e03ffffffff013c25cf2d01000000434104b0bd634234abbb1ba1e986e884185c61cf43e001f9137f23c2c409273eb16e6537a576782eba668a7ef8bd3b3cfb1edb7117ab65129b8a2e681f3c1e0908ef7bac00000000')
assert 'dbaf14e1c476e76ea05a8b71921a46d6b06f0a950f17c5f9f1a03b8fae467f10' == tx.txid()
def test_txid_coinbase_to_p2pkh(self):
tx = Transaction.from_hex('01000000010000000000000000000000000000000000000000000000000000000000000000ffffffff25033ca0030400001256124d696e656420627920425443204775696c640800000d41000007daffffffff01c00d1298000000001976a91427a1f12771de5cc3b73941664b2537c15316be4388ac00000000')
assert '4328f9311c6defd9ae1bd7f4516b62acf64b361eb39dfcf09d9925c5fd5c61e8' == tx.txid()
def test_txid_p2pk_to_p2pkh(self):
tx = Transaction.from_hex('010000000118231a31d2df84f884ced6af11dc24306319577d4d7c340124a7e2dd9c314077000000004847304402200b6c45891aed48937241907bc3e3868ee4c792819821fcde33311e5a3da4789a02205021b59692b652a01f5f009bd481acac2f647a7d9c076d71d85869763337882e01fdffffff016c95052a010000001976a9149c4891e7791da9e622532c97f43863768264faaf88ac00000000')
assert '90ba90a5b115106d26663fce6c6215b8699c5d4b2672dd30756115f3337dddf9' == tx.txid()
def test_txid_p2pk_to_p2sh(self):
tx = Transaction.from_hex('0100000001e4643183d6497823576d17ac2439fb97eba24be8137f312e10fcc16483bb2d070000000048473044022032bbf0394dfe3b004075e3cbb3ea7071b9184547e27f8f73f967c4b3f6a21fa4022073edd5ae8b7b638f25872a7a308bb53a848baa9b9cc70af45fcf3c683d36a55301fdffffff011821814a0000000017a9143c640bc28a346749c09615b50211cb051faff00f8700000000')
assert '172bdf5a690b874385b98d7ab6f6af807356f03a26033c6a65ab79b4ac2085b5' == tx.txid()
def test_txid_p2pkh_to_p2pkh(self):
tx = Transaction.from_hex('0100000001f9dd7d33f315617530dd72264b5d9c69b815626cce3f66266d1015b1a590ba90000000006a4730440220699bfee3d280a499daf4af5593e8750b54fef0557f3c9f717bfa909493a84f60022057718eec7985b7796bb8630bf6ea2e9bf2892ac21bd6ab8f741a008537139ffe012103b4289890b40590447b57f773b5843bf0400e9cead08be225fac587b3c2a8e973fdffffff01ec24052a010000001976a914ce9ff3d15ed5f3a3d94b583b12796d063879b11588ac00000000')
assert '24737c68f53d4b519939119ed83b2a8d44d716d7f3ca98bcecc0fbb92c2085ce' == tx.txid()
def test_txid_p2pkh_to_p2sh(self):
tx = Transaction.from_hex('010000000195232c30f6611b9f2f82ec63f5b443b132219c425e1824584411f3d16a7a54bc000000006b4830450221009f39ac457dc8ff316e5cc03161c9eff6212d8694ccb88d801dbb32e85d8ed100022074230bb05e99b85a6a50d2b71e7bf04d80be3f1d014ea038f93943abd79421d101210317be0f7e5478e087453b9b5111bdad586038720f16ac9658fd16217ffd7e5785fdffffff0200e40b540200000017a914d81df3751b9e7dca920678cc19cac8d7ec9010b08718dfd63c2c0000001976a914303c42b63569ff5b390a2016ff44651cd84c7c8988acc7010000')
assert '155e4740fa59f374abb4e133b87247dccc3afc233cb97c2bf2b46bba3094aedc' == tx.txid()
def test_txid_p2sh_to_p2pkh(self):
tx = Transaction.from_hex('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')
assert '0ea982e8e601863e604ef6d9acf9317ae59d3eac9cafee6dd946abadafd35af8' == tx.txid()
def test_txid_p2sh_to_p2sh(self):
# Note the public keys in this transaction are not sorted. This also tests we do
# not sort them.
tx = Transaction.from_hex('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')
assert '2caab5a11fa1ec0f5bb014b8858d00fecf2c001e15d22ad04379ad7b36fef305' == tx.txid()
# 2 inputs, one for each priv_key below
unsigned_tx = "0100000002f25568d10d46181bc65b01b735f8cccdb91e4e7d172c5efb984b839d1c912084000000002401ff2102faf7f10ccad1bc40e697e6b90b1d7c9daf92fdf47a4cf726f1c0422e4730fe85fefffffff146000000000000f25568d10d46181bc65b01b735f8cccdb91e4e7d172c5efb984b839d1c912084010000002401ff21030c4ee92cd3c174e9aabcdec56ddc6b6d09a7767b563055a10e5406ec48f477eafeffffff415901000000000001de9e0100000000001976a914428f0dbcc74fc3a999bbaf8bf4600531e155e66b88ac75c50800"
priv_keys = [PrivateKey.from_WIF(WIF) for WIF in (
"KzjWgFAozj8EfMFpeCBshWA69QXG7Kj7nMYHjSkkcTM8DM8GF1Hd",
"KyY5VaoqPwjSgGpKHT3JJKDcxXMeqYo6umK7u1h3iBt9n9aihiPs",
)]
# First priv key only signed
signed_tx_1 = "0100000002f25568d10d46181bc65b01b735f8cccdb91e4e7d172c5efb984b839d1c912084000000002401ff2102faf7f10ccad1bc40e697e6b90b1d7c9daf92fdf47a4cf726f1c0422e4730fe85fefffffff146000000000000f25568d10d46181bc65b01b735f8cccdb91e4e7d172c5efb984b839d1c912084010000006b483045022100fa8ebdc7cefc407fd1b560fb2e2e5e96e900e94634d96df4fd284126048746a2022028d91ca132a1a386a67df69a2c5ba216218870c256c163d729f1575f7a8824f54121030c4ee92cd3c174e9aabcdec56ddc6b6d09a7767b563055a10e5406ec48f477eafeffffff01de9e0100000000001976a914428f0dbcc74fc3a999bbaf8bf4600531e155e66b88ac75c50800"
# Second priv key only signed
signed_tx_2 = "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"
# Both priv keys signed
signed_tx_3 = "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"
class TestTransaction2:
def sign_tx(self, unsigned_tx_hex, priv_keys):
keypairs = {XPublicKey.from_hex(priv_key.public_key.to_hex()):
(priv_key.to_bytes(), priv_key.is_compressed())
for priv_key in priv_keys}
tx = Transaction.from_extended_bytes(bytes.fromhex(unsigned_tx_hex))
tx.sign(keypairs)
return tx
def test_sign_tx_1(self):
# Test signing the first input only
tx = self.sign_tx(unsigned_tx, [priv_keys[0]])
assert json.dumps(tx.to_dict(TransactionContext())) == '{"version": 1, "hex": "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", "complete": false, "inputs": [{"script_type": 2, "threshold": 1, "value": 18161, "signatures": ["ff"], "x_pubkeys": [{"pubkey_bytes": "02faf7f10ccad1bc40e697e6b90b1d7c9daf92fdf47a4cf726f1c0422e4730fe85"}]}, {"script_type": 2, "threshold": 1, "value": 88385, "signatures": ["3045022100fa8ebdc7cefc407fd1b560fb2e2e5e96e900e94634d96df4fd284126048746a2022028d91ca132a1a386a67df69a2c5ba216218870c256c163d729f1575f7a8824f541"], "x_pubkeys": [{"pubkey_bytes": "030c4ee92cd3c174e9aabcdec56ddc6b6d09a7767b563055a10e5406ec48f477ea"}]}]}'
assert not tx.is_complete()
def test_sign_tx_2(self):
# Test signing the second input only
tx = self.sign_tx(unsigned_tx, [priv_keys[1]])
assert json.dumps(tx.to_dict(TransactionContext())) == '{"version": 1, "hex": "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", "complete": false, "inputs": [{"script_type": 2, "threshold": 1, "value": 18161, "signatures": ["30450221008dc02fa531a9a704f5c01abdeb58930514651565b42abf94f6ad1565d0ad6785022027b1396f772c696629a4a09b01aed2416861aeaee05d0ff4a2e6fdfde73ec84d41"], "x_pubkeys": [{"pubkey_bytes": "02faf7f10ccad1bc40e697e6b90b1d7c9daf92fdf47a4cf726f1c0422e4730fe85"}]}, {"script_type": 2, "threshold": 1, "value": 88385, "signatures": ["ff"], "x_pubkeys": [{"pubkey_bytes": "030c4ee92cd3c174e9aabcdec56ddc6b6d09a7767b563055a10e5406ec48f477ea"}]}]}'
assert not tx.is_complete()
def test_sign_tx_3(self):
# Test signing both
tx = self.sign_tx(unsigned_tx, priv_keys)
assert tx.to_hex() == signed_tx_3
assert tx.is_complete()
assert tx.txid() == "b83acf939a92c420d0cb8d45d5d4dfad4e90369ebce0f49a45808dc1b41259b0"
def test_update_signatures(self):
signed_tx = Tx.from_hex(signed_tx_3)
sigs = [next(input.script_sig.ops())[:-1] for input in signed_tx.inputs]
tx = Transaction.from_extended_bytes(bytes.fromhex(unsigned_tx))
tx.update_signatures(sigs)
assert tx.is_complete()
assert tx.txid() == "b83acf939a92c420d0cb8d45d5d4dfad4e90369ebce0f49a45808dc1b41259b0"
def multisig_keystores(self):
seed = 'ee6ea9eceaf649640051a4c305ac5c59'
keystore1 = cast(Old_KeyStore, instantiate_keystore_from_text(
KeystoreTextType.ELECTRUM_OLD_SEED_WORDS, seed, password="OLD"))
xprv = ('xprv9s21ZrQH143K4XLpSd2berkCzJTXDv68rusDQFiQGSqa1ZmVXnYzYpTQ9'
'qYiSB7mHvg6kEsrd2ZtnHRJ61sZhSN4jZ2T8wxA4T75BE4QQZ1')
xpub = ('xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8w'
'GvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA')
keystore2 = cast(BIP32_KeyStore, instantiate_keystore_from_text(
KeystoreTextType.EXTENDED_PRIVATE_KEY, xprv, password="BIP32"))
assert keystore2.xpub == xpub
return [keystore1, keystore2]
unsigned_json_1 = '{"version": 1, "hex": "010000000111111111111111111111111111111111111111111111111111111111111111111b0000006e0001ff01ff4c675221020c8bd7a0cfa64714b8f01316cd46197b902565f2c812ed0d450fcd1425edc9e8410472cd64a288e4a518059b388a9164522e05c3f3aef3f6791f31074af734510054bfde0bee54dbefa0eebe71a53d18298c628842b1865e2e0bc053bb4197af726e52aeffffffff0188130000000000001976a914000000000000000000000000000000000000000088ac00000000", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["ff", "ff"], "x_pubkeys": [{"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}, {"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}]}]}'
signed1_json_1 = '{"version": 1, "hex": "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", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["ff", "3044022100a9b906ec7fd40b8063326675d5f229d36227241dc84f262b203b3eaadfd91789021f267473437145d77c69273ffef2426055c6c89457832c3d38fcb3c07eb8c39141"], "x_pubkeys": [{"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}, {"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}]}]}'
signed2_json_1 = '{"version": 1, "hex": "010000000111111111111111111111111111111111111111111111111111111111111111111b000000b500483045022100bc32a5f10b755dcd8dc9a498d76286f059993d1d72fbc5340d0da9dc99dcad0a022064e37760d9ad3e3b9f0b48263becca8dee5aac43bdcecfdfdc63553057083a8c4101ff4c675221020c8bd7a0cfa64714b8f01316cd46197b902565f2c812ed0d450fcd1425edc9e8410472cd64a288e4a518059b388a9164522e05c3f3aef3f6791f31074af734510054bfde0bee54dbefa0eebe71a53d18298c628842b1865e2e0bc053bb4197af726e52aeffffffff0188130000000000001976a914000000000000000000000000000000000000000088ac00000000", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["3045022100bc32a5f10b755dcd8dc9a498d76286f059993d1d72fbc5340d0da9dc99dcad0a022064e37760d9ad3e3b9f0b48263becca8dee5aac43bdcecfdfdc63553057083a8c41", "ff"], "x_pubkeys": [{"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}, {"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}]}]}'
fully_signed_json_1 = '{"version": 1, "hex": "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", "complete": true}'
unsigned_json_2 = '{"version": 1, "hex": "010000000111111111111111111111111111111111111111111111111111111111111111111b0000006e0001ff01ff4c6752410472cd64a288e4a518059b388a9164522e05c3f3aef3f6791f31074af734510054bfde0bee54dbefa0eebe71a53d18298c628842b1865e2e0bc053bb4197af726e21020c8bd7a0cfa64714b8f01316cd46197b902565f2c812ed0d450fcd1425edc9e852aeffffffff0188130000000000001976a914000000000000000000000000000000000000000088ac00000000", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["ff", "ff"], "x_pubkeys": [{"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}, {"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}]}]}'
signed1_json_2 = '{"version": 1, "hex": "010000000111111111111111111111111111111111111111111111111111111111111111111b000000b40047304402207a923d1b0ca9930cfb2162f1e85dc5feb6e9322efcceeaba7a91ad37f72b815702207ed90ebab7c8bbf728d29c2d93931bb44ff1a7147b37982c1d27c822c139079e4101ff4c6752410472cd64a288e4a518059b388a9164522e05c3f3aef3f6791f31074af734510054bfde0bee54dbefa0eebe71a53d18298c628842b1865e2e0bc053bb4197af726e21020c8bd7a0cfa64714b8f01316cd46197b902565f2c812ed0d450fcd1425edc9e852aeffffffff0188130000000000001976a914000000000000000000000000000000000000000088ac00000000", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["304402207a923d1b0ca9930cfb2162f1e85dc5feb6e9322efcceeaba7a91ad37f72b815702207ed90ebab7c8bbf728d29c2d93931bb44ff1a7147b37982c1d27c822c139079e41", "ff"], "x_pubkeys": [{"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}, {"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}]}]}'
signed2_json_2 = '{"version": 1, "hex": "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", "complete": false, "inputs": [{"script_type": 4, "threshold": 2, "value": 5300, "signatures": ["ff", "3045022100ae42f172f722ac2392ef3e5958d78bbca1ebedbce47eff27ba66345be781c46f02207c9ab6ff496791bf2e56300ff4621beaec6ccdd3639e460612569c6e0407e09a41"], "x_pubkeys": [{"old_mpk": "84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9", "derivation_path": [0, 0]}, {"bip32_xpub": "xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8wGvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA", "derivation_path": [0, 0]}]}]}'
fully_signed_json_2 = '{"version": 1, "hex": "010000000111111111111111111111111111111111111111111111111111111111111111111b000000fb0047304402207a923d1b0ca9930cfb2162f1e85dc5feb6e9322efcceeaba7a91ad37f72b815702207ed90ebab7c8bbf728d29c2d93931bb44ff1a7147b37982c1d27c822c139079e41483045022100ae42f172f722ac2392ef3e5958d78bbca1ebedbce47eff27ba66345be781c46f02207c9ab6ff496791bf2e56300ff4621beaec6ccdd3639e460612569c6e0407e09a414c6752410472cd64a288e4a518059b388a9164522e05c3f3aef3f6791f31074af734510054bfde0bee54dbefa0eebe71a53d18298c628842b1865e2e0bc053bb4197af726e21020c8bd7a0cfa64714b8f01316cd46197b902565f2c812ed0d450fcd1425edc9e852aeffffffff0188130000000000001976a914000000000000000000000000000000000000000088ac00000000", "complete": true}'
@pytest.mark.parametrize("json_text", (unsigned_json_1, signed1_json_1, signed2_json_1,
fully_signed_json_1, unsigned_json_2, signed1_json_2, signed2_json_2,
fully_signed_json_2))
def test_dict_io(self, json_text: str) -> None:
tx, context = Transaction.from_dict(json.loads(json_text))
assert json.dumps(tx.to_dict(context)) == json_text
@pytest.mark.parametrize("unsigned_pair, signed1_pair, fully_signed_pair, signed2_pair", (
(
# Here the x_pubkeys are naturally sorted
('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',
unsigned_json_1),
('010000000111111111111111111111111111111111111111111111111111111111111111111b000000eb0001ff473044022100a9b906ec7fd40b8063326675d5f229d36227241dc84f262b203b3eaadfd91789021f267473437145d77c69273ffef2426055c6c89457832c3d38fcb3c07eb8c391414c9e524c53ff0488b21e000000000000000000f79d7a4d3ea07099f09fbf35c3103908cbb4b1f30e8602a06ffbdbb213d0025602e9aa22cc7106abab85e4c41f18f030c370213769c18d6754f3d0584e69a7fa120000000045fe84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a90000000052aeffffffffb4140000000000000188130000000000001976a914000000000000000000000000000000000000000088ac00000000',
signed1_json_1),
('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',
fully_signed_json_1),
('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',
signed2_json_1),
),
(
# Here the x_pubkeys are reverse-sorted. They should not be switched when signing.
('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',
unsigned_json_2),
('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',
signed1_json_2),
('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',
fully_signed_json_2),
('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',
signed2_json_2),
)
))
def test_multisig(self, unsigned_pair, signed1_pair, fully_signed_pair, signed2_pair):
unsigned_hex, unsigned_json = unsigned_pair
signed1_hex, signed1_json = signed1_pair
fully_signed_hex, fully_signed_json = fully_signed_pair
signed2_hex, signed2_json = signed2_pair
tx = Transaction.from_extended_bytes(bytes.fromhex(unsigned_hex))
keystore1, keystore2 = self.multisig_keystores()
assert json.dumps(tx.to_dict(TransactionContext())) == unsigned_json
# Sign with keystore 1, then 2
keystore1.sign_transaction(tx, "OLD", TransactionContext())
assert json.dumps(tx.to_dict(TransactionContext())) == signed1_json
keystore2.sign_transaction(tx, "BIP32", TransactionContext())
assert tx.serialize() == fully_signed_hex
# Sign with keystore 2, then 1
tx = Transaction.from_extended_bytes(bytes.fromhex(unsigned_hex))
keystore2.sign_transaction(tx, "BIP32", TransactionContext())
assert json.dumps(tx.to_dict(TransactionContext())) == signed2_json
keystore1.sign_transaction(tx, "OLD", TransactionContext())
assert tx.serialize() == fully_signed_hex
assert json.dumps(tx.to_dict(TransactionContext())) == fully_signed_json
class TestXPublicKey:
def test_bad_type(self):
public_key = PublicKey.from_hex(
'034339a901d8526c4d733c8ea7c861f1a6324f37f6b86f838725820e0c5fc19570')
with pytest.raises(AssertionError):
XPublicKey(pubkey_bytes=public_key)
def test_bad_key(self):
with pytest.raises(ValueError):
XPublicKey.from_hex(
'034339a901d8526c4d733c8ea7c861f1a6324f37f6b86f838725820e0c5fc1957000')
with pytest.raises(AssertionError):
XPublicKey.from_hex(
'ff0488b21e000000000000000000f79d7a4d3ea07099f09fbf35c3103908cbb4b1f30e8602a06ffbdb'
'b213d0025602e9aa22cc7106abab85e4c41f18f030c370213769c18d6754f3d0584e69a7fa1201000a'
)
@pytest.mark.parametrize("raw_hex", (
# An uncompressed 04 key
'046d6caac248af96f6afa7f904f550253a0f3ef3f5aa2fe6838a95b216691468e'
'2487e6222a6664e079c8edf7518defd562dbeda1e7593dfd7f0be285880a24dab',
# A compressed 03 key
'034339a901d8526c4d733c8ea7c861f1a6324f37f6b86f838725820e0c5fc19570',
# A compressed 02 key
'026370246118a7c218fd557496ebb2b0862d59c6486e88f83e07fd12ce8a88fb00',
))
def test_raw_public_keys(self, raw_hex, coin):
public_key = PublicKey.from_hex(raw_hex)
x_pubkey = XPublicKey.from_hex(raw_hex)
# assert x_pubkey.to_bytes() == bytes.fromhex(raw_hex)
# assert x_pubkey.to_hex() == raw_hex
assert not x_pubkey.is_bip32_key()
assert x_pubkey.to_public_key() == public_key
assert x_pubkey.to_address() == public_key.to_address(coin=coin)
assert x_pubkey.to_address().coin() is coin
@pytest.mark.parametrize("raw_hex, path", (
(
'ff0488b21e000000000000000000f79d7a4d3ea07099f09fbf35c3103908cbb4b1f30e8602a06ffbdb'
'b213d0025602e9aa22cc7106abab85e4c41f18f030c370213769c18d6754f3d0584e69a7fa1201000a00',
(1, 10),
),
(
'ff0488b21e000000000000000000f79d7a4d3ea07099f09fbf35c3103908cbb4b1f30e8602a06ffbdbb2'
'13d0025602e9aa22cc7106abab85e4c41f18f030c370213769c18d6754f3d0584e69a7fa1200001900',
(0, 25),
),
))
def test_bip32_extended_keys(self, raw_hex, path, coin):
# see test_keystore.py
xpub = ('xpub661MyMwAqRbcH1RHYeZc1zgwYLJ1dNozE8npCe81pnNYtN6e5KsF6cmt17Fv8w'
'GvJrRiv6Kewm8ggBG6N3XajhoioH3stUmLRi53tk46CiA')
root_key = bip32_key_from_string(xpub)
True_10_public_key = cast(BIP32PublicKey, root_key.child(path[0]).child(path[1]))
x_pubkey = XPublicKey.from_bytes(bytes.fromhex(raw_hex))
# assert x_pubkey.to_bytes() == bytes.fromhex(raw_hex)
# assert x_pubkey.to_hex() == raw_hex
assert x_pubkey.is_bip32_key()
assert x_pubkey.bip32_extended_key_and_path() == (xpub, path)
assert x_pubkey.to_public_key() == True_10_public_key
assert x_pubkey.to_address() == True_10_public_key.to_address(coin=coin)
assert x_pubkey.to_address().coin() is coin
@pytest.mark.parametrize("raw_hex, public_key_hex", (
('fee9d4b7866dd1e91c862aebf62a49548c7dbf7bcc6e4b7b8c9da820c7737968df9c09d'
'5a3e271dc814a29981f81b3faaf2737b551ef5dcc6189cf0f8252c442b301000a00',
'044794e135aa6d397222b4395091e53557f0e1ab9ffc0358303de6b9800642a9f544c3'
'f8d2ece93e25864f19f44279661c16aaa8e85eea9ea1c8c1fcf1c61fcae0'
),
('fee9d4b7866dd1e91c862aebf62a49548c7dbf7bcc6e4b7b8c9da820c7737968df9c09'
'd5a3e271dc814a29981f81b3faaf2737b551ef5dcc6189cf0f8252c442b300000500',
'04935970bd7c9e51bfe8e1135bb89a8ce09f8876d60d81ba4432f5e6fa394e6d09c9b'
'a78f8d87aa7c519892a6adb5e7b39702379411dd7ba49f324f8c7e4e51f17'
),
))
def test_old_keystore(self, raw_hex, public_key_hex, coin):
public_key = PublicKey.from_hex(public_key_hex)
assert public_key.is_compressed() is False
x_pubkey = XPublicKey.from_hex(raw_hex)
# assert x_pubkey.to_bytes() == bytes.fromhex(raw_hex)
# assert x_pubkey.to_hex() == raw_hex
assert not x_pubkey.is_bip32_key()
assert x_pubkey.to_public_key() == public_key
assert x_pubkey.to_public_key().is_compressed() is False
assert x_pubkey.to_address() == public_key.to_address(coin=coin)
assert x_pubkey.to_address().coin() is coin
def test_fd_read_write(self):
tx_hex = ('010000000111111111111111111111111111111111111111111111111111111111111111111b'
'000000ec0001ff483045022100ae42f172f722ac2392ef3e5958d78bbca1ebedbce47eff27ba66345b'
'e781c46f02207c9ab6ff496791bf2e56300ff4621beaec6ccdd3639e460612569c6e0407e09a414c9e'
'5245fe84717a26df3332b129e59faaab25c11752277bc55c07d8724e1660e63b862d00b41d3db01e29'
'ed54ca83300eb73d82b5381536298f40fdad8c1e307b66cf39a9000000004c53ff0488b21e00000000'
'0000000000f79d7a4d3ea07099f09fbf35c3103908cbb4b1f30e8602a06ffbdbb213d0025602e9aa22'
'cc7106abab85e4c41f18f030c370213769c18d6754f3d0584e69a7fa120000000052aeffffffffb414'
'0000000000000188130000000000001976a914000000000000000000000000000000000000000088ac'
'00000000')
tx = Transaction.from_extended_bytes(bytes.fromhex(tx_hex))
# We do not serialize the old extended byte format anymore.
assert tx.serialize() != tx_hex
| 107.155125 | 1,177 | 0.856397 | 1,831 | 38,683 | 17.821955 | 0.162206 | 0.005148 | 0.007171 | 0.007355 | 0.214391 | 0.199314 | 0.189048 | 0.162693 | 0.155706 | 0.138422 | 0 | 0.476882 | 0.090324 | 38,683 | 360 | 1,178 | 107.452778 | 0.450453 | 0.024507 | 0 | 0.248175 | 0 | 0.032847 | 0.715055 | 0.653796 | 0 | 1 | 0 | 0 | 0.291971 | 1 | 0.094891 | false | 0.007299 | 0.029197 | 0 | 0.171533 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f7acb0e8a9b10e471010f8ad80079a610e6841b6 | 6,637 | py | Python | densecap/utils/data_loader.py | adymaharana/VLCStoryGan | 74112404689e8144c2ed2d375e1e5a1cde09debb | [
"MIT"
] | 10 | 2021-11-02T17:53:13.000Z | 2022-03-28T06:38:20.000Z | densecap/utils/data_loader.py | adymaharana/VLCStoryGan | 74112404689e8144c2ed2d375e1e5a1cde09debb | [
"MIT"
] | 10 | 2021-11-01T21:28:11.000Z | 2022-03-06T18:08:22.000Z | densecap/utils/data_loader.py | adymaharana/VLCStoryGan | 74112404689e8144c2ed2d375e1e5a1cde09debb | [
"MIT"
] | 3 | 2022-02-02T16:03:24.000Z | 2022-03-28T06:38:23.000Z | import os
import pickle
import h5py
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
from PIL import Image
from torch.utils.data import DataLoader
from prefetch_generator import BackgroundGenerator
__all__ = [
"DataLoaderPFG", "DenseCapDataset", 'DenseCapDatasetV2'
]
class DataLoaderPFG(DataLoader):
"""
Prefetch version of DataLoader: https://github.com/IgorSusmelj/pytorch-styleguide/issues/5
"""
def __iter__(self):
return BackgroundGenerator(super().__iter__())
class DenseCapDataset(Dataset):
"""Images are loaded from by open specific file
"""
@staticmethod
def collate_fn(batch):
"""Use in torch.utils.data.DataLoader
"""
return tuple(zip(*batch)) # as tuples instead of stacked tensors
@staticmethod
def get_transform():
"""More complicated transform utils in torchvison/references/detection/transforms.py
"""
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),
])
return transform
def __init__(self, img_dir_root, vg_data_path, look_up_tables_path, dataset_type=None, transform=None):
assert dataset_type in {None, 'train', 'test', 'val'}
super(DenseCapDataset, self).__init__()
self.img_dir_root = img_dir_root
self.vg_data_path = vg_data_path
self.look_up_tables_path = look_up_tables_path
self.dataset_type = dataset_type # if dataset_type is None, all data will be use
self.transform = transform
# === load data here ====
self.look_up_tables = pickle.load(open(look_up_tables_path, 'rb'))
def set_dataset_type(self, dataset_type, verbose=True):
assert dataset_type in {None, 'train', 'test', 'val'}
if verbose:
print('[DenseCapDataset]: {} switch to {}'.format(self.dataset_type, dataset_type))
self.dataset_type = dataset_type
def __getitem__(self, idx):
with h5py.File(self.vg_data_path, 'r') as vg_data:
vg_idx = self.look_up_tables['split'][self.dataset_type][idx] if self.dataset_type else idx
img_path = os.path.join(self.img_dir_root, self.look_up_tables['idx_to_directory'][vg_idx],
self.look_up_tables['idx_to_filename'][vg_idx])
img = Image.open(img_path).convert("RGB")
if self.transform is not None:
img = self.transform(img)
else:
img = transforms.ToTensor()(img)
first_box_idx = vg_data['img_to_first_box'][vg_idx]
last_box_idx = vg_data['img_to_last_box'][vg_idx]
boxes = torch.as_tensor(vg_data['boxes'][first_box_idx: last_box_idx+1], dtype=torch.float32)
caps = torch.as_tensor(vg_data['captions'][first_box_idx: last_box_idx+1], dtype=torch.long)
caps_len = torch.as_tensor(vg_data['lengths'][first_box_idx: last_box_idx+1], dtype=torch.long)
targets = {
'boxes': boxes,
'caps': caps,
'caps_len': caps_len,
}
info = {
'idx': vg_idx,
'dir': self.look_up_tables['idx_to_directory'][vg_idx],
'file_name': self.look_up_tables['idx_to_filename'][vg_idx]
}
return img, targets, info
def __len__(self):
if self.dataset_type:
return len(self.look_up_tables['split'][self.dataset_type])
else:
return len(self.look_up_tables['filename_to_idx'])
class DenseCapDatasetV2(Dataset):
"""Images are stored in VG-regions.h5
"""
@staticmethod
def collate_fn(batch):
"""Use in torch.utils.data.DataLoader
"""
return tuple(zip(*batch)) # as tuples instead of stacked tensors
@staticmethod
def get_transform():
"""More complicated transform utils in torchvison/references/detection/transforms.py
"""
transform = transforms.Compose([
transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),
])
return transform
def __init__(self, vg_data_path, look_up_tables_path, dataset_type=None, transform=None):
assert dataset_type in {None, 'train', 'test', 'val'}
super(DenseCapDatasetV2, self).__init__()
self.vg_data_path = vg_data_path
self.look_up_tables_path = look_up_tables_path
self.dataset_type = dataset_type # if dataset_type is None, all data will be use
self.transform = transform
# === load data here ====
self.look_up_tables = pickle.load(open(look_up_tables_path, 'rb'))
def set_dataset_type(self, dataset_type, verbose=True):
assert dataset_type in {None, 'train', 'test', 'val'}
if verbose:
print('[DenseCapDataset]: {} switch to {}'.format(self.dataset_type, dataset_type))
self.dataset_type = dataset_type
def __getitem__(self, idx):
with h5py.File(self.vg_data_path, 'r') as vg_data:
vg_idx = self.look_up_tables['split'][self.dataset_type][idx] if self.dataset_type else idx
img = vg_data['images'][vg_idx]
h = vg_data['image_heights'][vg_idx]
w = vg_data['image_widths'][vg_idx]
img = torch.tensor(img[:, :h, :w] / 255., dtype=torch.float32) # get rid of zero padding
if self.transform is not None:
img = self.transform(img)
first_box_idx = vg_data['img_to_first_box'][vg_idx]
last_box_idx = vg_data['img_to_last_box'][vg_idx]
boxes = torch.as_tensor(vg_data['boxes'][first_box_idx: last_box_idx+1], dtype=torch.float32)
caps = torch.as_tensor(vg_data['captions'][first_box_idx: last_box_idx+1], dtype=torch.long)
caps_len = torch.as_tensor(vg_data['lengths'][first_box_idx: last_box_idx+1], dtype=torch.long)
targets = {
'boxes': boxes,
'caps': caps,
'caps_len': caps_len,
}
info = {
'idx': vg_idx,
'dir': self.look_up_tables['idx_to_directory'][vg_idx],
'file_name': self.look_up_tables['idx_to_filename'][vg_idx]
}
return img, targets, info
def __len__(self):
if self.dataset_type:
return len(self.look_up_tables['split'][self.dataset_type])
else:
return len(self.look_up_tables['filename_to_idx'])
| 32.37561 | 107 | 0.621064 | 857 | 6,637 | 4.495916 | 0.166861 | 0.091357 | 0.068518 | 0.066442 | 0.807682 | 0.786919 | 0.786919 | 0.786919 | 0.786919 | 0.769011 | 0 | 0.014549 | 0.264728 | 6,637 | 204 | 108 | 32.534314 | 0.775 | 0.103812 | 0 | 0.717742 | 0 | 0 | 0.086499 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 1 | 0.104839 | false | 0 | 0.072581 | 0.008065 | 0.290323 | 0.016129 | 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 |
f7d6ecf8ff0fffca5074cbbc9c7e980eb1f61ea6 | 198,737 | py | Python | ganimides_server/ganimides_database/_database_ganimides_api.py | leandrou-technology-forward/ganimides_api_server | 8787927e2cf7568a070c1c65294ee76d89177908 | [
"MIT"
] | null | null | null | ganimides_server/ganimides_database/_database_ganimides_api.py | leandrou-technology-forward/ganimides_api_server | 8787927e2cf7568a070c1c65294ee76d89177908 | [
"MIT"
] | 1 | 2021-06-02T00:36:03.000Z | 2021-06-02T00:36:03.000Z | ganimides_server/ganimides_database/_database_ganimides_api.py | leandrou-technology-forward/ganimides_api_server | 8787927e2cf7568a070c1c65294ee76d89177908 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#https://www.pythoncentral.io/series/python-sqlalchemy-database-tutorial/
import os
import sys
if not (os.path.dirname(os.path.dirname(__file__)) in sys.path): sys.path.append(os.path.dirname(os.path.dirname(__file__)))
if not (os.path.dirname(__file__) in sys.path): sys.path.append(os.path.dirname(__file__))
import datetime
import decimal
# #
from _serverApp import thisApp
from _serverApp import get_debug_option_as_level, get_debug_files, log_message, retrieve_module_configuration, get_globals_from_configuration, save_module_configuration,get_module_debug_level
from _serverApp import log_process_start, log_process_finish, log_process_message, log_process_result,log_process_data, log_process_input, log_process_output
from _serverApp import set_process_identity_dict, set_process_caller_area, add_apis_to_configuration
from _serverApp import build_process_signature, build_process_call_area, get_debug_level, get_debug_files
import _database_ganimides_model as dbmodel
#import ganimides_openBankingAPI as bankingapi
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::: module :::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
module_Function = 'database adapter'
module_ProgramName = 'database api'
module_BaseTimeStamp = datetime.datetime.now()
module_folder = os.getcwd()
module_color = thisApp.Fore.LIGHTMAGENTA_EX
module_folder = os.path.dirname(__file__)
module_ProgramName = os.path.splitext(os.path.basename(__file__))[0]
module_id = f'{module_ProgramName}'
module_eyecatch = module_ProgramName
module_version = 0.1
module_log_file_name = module_ProgramName+'.log'
module_errors_file_name = os.path.splitext(os.path.basename(module_log_file_name))[0]+'_errors.log'
module_versionString = f'{module_id} version {module_version}'
module_file = __file__
log_file=thisApp.log_file_name
print_enabled = thisApp.CONSOLE_ON and thisApp.DEBUG_ON
consolelog_enabled = thisApp.CONSOLE_ON and thisApp.DEBUG_ON
filelog_enabled = thisApp.FILELOG_ON
module_is_externally_configurable = True
module_identityDictionary = {
'module_file':__file__,
'module_Function':module_Function,
'module_ProgramName':module_ProgramName,
'module_BaseTimeStamp':module_BaseTimeStamp,
'module_folder':module_folder,
'module_color':module_color,
'module_id':module_id,
'module_eyecatch':module_eyecatch,
'module_version':module_version,
'module_versionString':module_versionString,
'module_log_file_name':module_log_file_name,
'module_errors_file_name': module_errors_file_name,
'consolelog_enabled': consolelog_enabled,
'filelog_enabled': filelog_enabled,
'module_is_externally_configurable':module_is_externally_configurable,
}
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# configuration
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
module_configuration = {
}
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# api services : database apis
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_device(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_device"
_api_entity = 'DEVICE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper in ('REGISTER','UNREGISTER'):
return dbapi_device_register_unregister(dbsession, action, input_dict, action_filter, caller_area=_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.DEVICE, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_device_register_unregister(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name="dbapi_device_register_unregister"
_api_entity = 'DEVICE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
actions_supported=('REGISTER', 'UNREGISTER')
now = datetime.datetime.utcnow()
if action.upper() not in actions_supported:
msg = f"action '{action}' not supported. {actions_supported}"
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': actions_supported, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
device = dbsession.get(dbmodel.DEVICE, input_dict, caller_area=_process_call_area)
if not device:
device_record = device.valid_fields_dictionary(input_dict)
msg = f"invalid device"
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': device_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client = dbsession.get(dbmodel.CLIENT, input_dict, caller_area=_process_call_area)
if not client:
client_record = client.valid_fields_dictionary(input_dict)
msg = f"invalid client"
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_id = client.client_id
if action.upper() in ('REGISTER'):
status = 'Registered'
xx = 'for'
else:
status = 'UnRegistered'
xx = 'from'
registered_apps=[]
if input_dict.get('applications', '').upper() in ('*', 'ALL') \
or input_dict.get('application', '').upper() in ('*', 'ALL') \
or input_dict.get('application_name', '').upper() in ('*', 'ALL'):
CLIENT_DEVICE = dbmodel.CLIENT_DEVICE
client_devices = dbsession.query(CLIENT_DEVICE).filter(CLIENT_DEVICE.device_uid == device.device_uid, CLIENT_DEVICE.client_id == client_id, CLIENT_DEVICE.status != status).all()
if len(client_devices) <= 0:
client_devices = dbsession.query(CLIENT_DEVICE).filter(CLIENT_DEVICE.device_uid == device.device_uid, CLIENT_DEVICE.client_id == client_id).all()
client_device_records = dbsession.rows_to_dict(CLIENT_DEVICE, client_devices)
msg = f"device already {status.upper()} {xx} usage by all applications"
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_device_records, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
for client_device in client_devices:
client_device.status = status
application = dbsession.get(dbmodel.APPLICATION, {'application_name': client_device.application_name}, caller_area=_process_call_area)
registered_apps.append(application.application_name)
dbsession.commit(**_process_call_area)
client_device_records = dbsession.rows_to_dict(CLIENT_DEVICE, client_devices)
else:
application = dbsession.get(dbmodel.APPLICATION, input_dict, caller_area=_process_call_area)
if not application:
application_record = application.valid_fields_dictionary(input_dict)
msg = f"invalid application"
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': application_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_device_record = {'device_uid': device.device_uid, 'client_id': client_id, 'application_name': application.application_name, 'last_usage_timestamp': now, 'status': status}
client_device = dbsession.get(dbmodel.CLIENT_DEVICE, client_device_record, caller_area=_process_call_area)
if client_device:
if client_device.status == status:
msg = f"device already {client_device.status.upper()} {xx} usage by application '{client_device.application_name}'"
client_device_records = [client_device.to_dict()]
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_device_records, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_device = dbsession.refresh(dbmodel.CLIENT_DEVICE, client_device_record, auto_commit=True, caller_area=_process_call_area)
registered_apps.append(application.application_name)
client_device_records = [client_device.to_dict()]
row_count = len(client_device_records)
x=''
if row_count > 1:
x = 's'
msg = f"device {status.upper()} {xx} usage by application{x} {registered_apps}"
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_device_records, 'api_data_rows': row_count, 'api_action': _api_action.upper(), 'api_name':_api_name }
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_device_usage(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_device_usage"
_api_entity = 'DEVICE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.DEVICE_USAGE, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_client(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_cient"
_api_entity = 'CLIENT'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area, **_process_call_area)
if action.upper().replace('_', '-') in ('SEND-CONFIRMATION-EMAIL', 'SEND-CONFIRMATION-SMS'):
client = dbsession.get(dbmodel.CLIENT, action_filter, caller_area=_process_call_area)
if not client:
msg = f'client not found'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_dict=client.to_dict()
if client.confirmed and client.status=='Active':
msg = f'client {client.email} already confirmed'
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if action.upper().replace('_', '-') in ('SEND-CONFIRMATION-EMAIL'):
if not client.email:
msg = f'email is missing'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#ok = send_confirmation_email(client.email)
ok=True
if ok:
confirm_filter = {'email': client.email, 'mobile': ''}
confirmation = dbsession.get(dbmodel.CLIENT_CONFIRMATION, confirm_filter, caller_area=_process_call_area)
if not confirmation:
confirm_dict = {'email': client.email, 'mobile': '', 'status': 'Sent'}
xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
if not confirmation.status=='Confirmed':
confirm_dict = {'email': client.email, 'mobile': '', 'status': 'Sent', 'send_timestamp': datetime.datetime.utcnow()}
xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
msg = f'OK. a confirmation email sent to {client.email}'
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_dict}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
msg = f'FAILED to send confirmation email to {client.email}. retry'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_dict}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if action.upper().replace('_', '-') in ('SEND-CONFIRMATION-SMS'):
if not client.mobile:
msg = f'mobile has not been defined'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#ok = send_confirmation_sms(client.mobile)
ok=True
if ok:
confirm_filter = {'mobile': client.mobile, 'email': ''}
confirmation = dbsession.get(dbmodel.CLIENT_CONFIRMATION, confirm_filter, caller_area=_process_call_area)
if not confirmation:
confirm_dict = {'mobile': client.mobile, 'email': '', 'status': 'Sent'}
xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
if not confirmation.status=='Confirmed':
confirm_dict = {'mobile': client.mobile, 'email': '', 'status': 'Sent', 'send_timestamp': datetime.datetime.utcnow()}
xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
msg = f'OK. a confirmation sms sent to {client.mobile}'
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': client_dict}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
msg = f'FAILED to send confirmation sms to {client.mobile}. retry'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_dict}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
api_result = dbsession.table_action(dbmodel.CLIENT, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
if not api_result.get('api_status') == 'success':
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if action.upper() in ('UPDATE', 'REFRESH', 'REGISTER', 'ACTIVATE', 'DEACTIVATE', 'CONFIRM'):
client_dict = api_result.get('api_data', {})
client_id = client_dict.get('client_id')
client_type = client_dict.get('client_type')
update_dict = {
#'client_id': client_dict.get('client_id'),
'status': client_dict.get('status'),
'email': client_dict.get('email'),
'confirmed': client_dict.get('confirmed'),
'client_status': client_dict.get('status'),
'client_email': client_dict.get('email'),
'client_mobile': client_dict.get('mobile'),
'client_name': client_dict.get('name'),
'client_confirmed': client_dict.get('confirmed'),
'confirmed_timestamp': client_dict.get('confirmed_timestamp'),
}
xaction = 'update_rows'
action_filter = {'client_id': client_id}
if client_id and client_type:
if client_type == 'merchant':
xapi_result = dbsession.table_action(dbmodel.MERCHANT, xaction , update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
elif client_type == 'subscriber':
xapi_result = dbsession.table_action(dbmodel.SUBSCRIPTION, xaction , update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
elif client_type == 'customer_service_assistant':
xapi_result = dbsession.table_action(dbmodel.CUSTOMER_SERVICE_ASSISTANT, xaction , update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
xapi_result = dbsession.table_action(dbmodel.APPLICATION_USER, xaction , update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
# if action.upper() in ('CONFIRM'):
# if input_dict.get('mobile_confirmation_sms'):
# # client_dict = api_result.get('api_data', {})
# mobile=client_dict.get('mobile')
# confirm_filter = {'mobile': mobile, 'email': ''}
# confirmation = dbsession.get(dbmodel.CLIENT_CONFIRMATION, confirm_filter, caller_area=_process_call_area)
# if not confirmation:
# confirm_dict = {'mobile': mobile, 'email': '', 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
# if not confirmation.status=='Confirmed':
# confirm_dict = {'mobile': mobile, 'email': '', 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
# elif input_dict.get('email_confirmation_email'):
# # client_dict = api_result.get('api_data', {})
# email=client_dict.get('email')
# confirm_filter = {'mobile': '', 'email': email}
# confirmation = dbsession.get(dbmodel.CLIENT_CONFIRMATION, confirm_filter, caller_area=_process_call_area)
# if not confirmation:
# confirm_dict = {'mobile': '', 'email': email, 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
# if not confirmation.status=='Confirmed':
# confirm_dict = {'mobile': '', 'email': email, 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
# else:
# # client_dict = api_result.get('api_data', {})
# email=client_dict.get('email')
# confirm_filter = {'mobile': '', 'email': email}
# confirmation = dbsession.get(dbmodel.CLIENT_CONFIRMATION, confirm_filter, caller_area=_process_call_area)
# if not confirmation:
# confirm_dict = {'mobile': '', 'email': email, 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
# if not confirmation.status=='Confirmed':
# confirm_dict = {'mobile': '', 'email': email, 'status': 'Confirmed', 'confirmed_timestamp': datetime.datetime.utcnow(),'confirmed':1}
# xapi_result = dbsession.table_action(dbmodel.CLIENT_CONFIRMATION, 'refresh' , confirm_dict, {}, auto_commit=True, caller_area=_process_call_area)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_client_device(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_client_device"
_api_entity = 'DEVICE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper in ('REGISTER','UNREGISTER'):
return dbapi_device_register_unregister(dbsession, action, input_dict, action_filter, caller_area=_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.CLIENT_DEVICE, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_verification(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_verification"
_api_entity = 'VERIFICATION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.VERIFICATION, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_email_confirmation(dbsession, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_email_confirmation"
_api_entity = 'email'
_api_action = 'confirm'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
verification = dbsession.get(dbmodel.VERIFICATION, input_dict, caller_area=_process_call_area)
if not verification:
msg = f'email verification failed'
api_result = {'api_status': 'error', 'api_message': msg}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not verification.status=='Confirmed':
action_filter = {'verification_id': verification.verification_id}
update_dict = {'status': 'Confirmed', 'verified': 1, 'verification_timestamp': datetime.datetime.utcnow()}
action_result = dbsession.table_action(dbmodel.VERIFICATION,'update', update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
client_id = verification.client_id
client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
if not client:
msg = f'mobile verification failed (client_id not found)'
api_result = {'api_status': 'error', 'api_message': msg}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not client.email_confirmed or not client.confirmed:
update_record = {'client_id': client_id, 'email_confirmed': 1, 'email_confirmed_timestamp': datetime.datetime.utcnow(), 'confirmed': 1}
dbreply = dbsession.table_action(dbmodel.CLIENT, 'update', update_record, {'client_id': client_id}, auto_commit=True, caller_area=_process_call_area)
client_rec=client.to_dict()
if not dbreply.get('api_status')=='success':
msg = f'email verification failed (client update failed)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
msg = f'OK. client email confirmed'
api_result = {'api_status': 'success', 'api_message': msg,'api_data':client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
client_rec=client.to_dict()
msg = f'OK. client email already confirmed'
api_result = {'api_status': 'success', 'api_message': msg,'api_data':client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_mobile_confirmation(dbsession, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_mobile_confirmation"
_api_entity = 'mobile'
_api_action = 'confirm'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
verification = dbsession.get(dbmodel.VERIFICATION, input_dict, caller_area=_process_call_area)
if not verification:
msg = f'mobile verification failed'
api_result = {'api_status': 'error', 'api_message': msg}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not verification.status=='Confirmed':
action_filter = {'verification_id': verification.verification_id}
update_dict = {'status': 'Confirmed', 'verified': 1, 'verification_timestamp': datetime.datetime.utcnow()}
action_result = dbsession.table_action(dbmodel.VERIFICATION,'update', update_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
client_id = verification.client_id
client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
if not client:
msg = f'mobile verification failed (client_id not found)'
api_result = {'api_status': 'error', 'api_message': msg}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not client.mobile_confirmed or not client.confirmed:
update_record = {'client_id': client_id, 'mobile_confirmed': 1, 'mobile_confirmed_timestamp': datetime.datetime.utcnow(), 'confirmed': 1}
dbreply = dbsession.table_action(dbmodel.CLIENT, 'update', update_record, {'client_id': client_id}, auto_commit=True, caller_area=_process_call_area)
client_rec=client.to_dict()
if not dbreply.get('api_status')=='success':
msg = f'mobile verification failed (client update failed)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
msg = f'OK. client mobile confirmed'
api_result = {'api_status': 'success', 'api_message': msg,'api_data':client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
client_rec=client.to_dict()
msg = f'OK. client mobile already confirmed'
api_result = {'api_status': 'success', 'api_message': msg,'api_data':client_rec}
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_api(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_api"
_api_entity = 'API'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper() in ('REGISTER', 'UNREGISTER'):
api_result = dbapi_api_register_unregister(dbsession, action, input_dict, action_filter, caller_area=_process_call_area)
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.API, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_api_register_unregister(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_api_register_unregister"
_api_entity = 'APPLICATION API'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper() not in ('REGISTER','UNREGISTER'):
msg = f'invalid action [[{action}]] requested. use REGISTER or UNREGISTER'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if _api_action.upper() == 'REGISTER':
api=dbsession.get(dbmodel.API, input_dict, caller_area=_process_call_area)
if not api:
msg = f'api not found'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not api.status=='Active':
msg = f'api not Active'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
application=dbsession.get(dbmodel.APPLICATION, input_dict, caller_area=_process_call_area)
if not application:
msg = f'application not found'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not application.status=='Active':
msg = f'application not Active'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'api_id':api.api_id})
input_dict.update({'api_name':api.api_name})
input_dict.update({'application_id': application.application_id})
input_dict.update({'application_name': application.application_name})
input_dict.update({'subscription_id': application.subscription_id})
action_filter={}
api_registered = dbsession.get(dbmodel.APPLICATION_API, input_dict, caller_area=_process_call_area)
if api_registered:
input_dict.update({'application_api_id': api_registered.application_api_id})
action_filter = {'application_api_id': api_registered.application_api_id}
input_dict.update({'status': 'Active'})
action='REFRESH'
action_result = dbsession.table_action(dbmodel.APPLICATION_API, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
elif _api_action.upper() == 'UNREGISTER':
api=dbsession.get(dbmodel.API, input_dict, caller_area=_process_call_area)
if api:
input_dict.update({'api_id':api.api_id})
input_dict.update({'api_name':api.api_name})
application=dbsession.get(dbmodel.APPLICATION, input_dict, caller_area=_process_call_area)
if application:
input_dict.update({'application_id': application.application_id})
input_dict.update({'application_name': application.application_name})
api_registered = dbsession.get(dbmodel.APPLICATION_API, input_dict, caller_area=_process_call_area)
if not api_registered:
msg = f'record not found'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'application_api_id': api_registered.application_api_id})
input_dict.update({'status':'Unregistered'})
action_filter={'application_api_id': api_registered.application_api_id}
action='UPDATE'
action_result = dbsession.table_action(dbmodel.APPLICATION_API, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
else:
msg = f'invalid action [[{action}]] requested. use REGISTER or UNREGISTER'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_application(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_application"
_api_entity = 'APPLICATION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper() in ('API_REGISTER', 'API_UNREGISTER'):
xaction=action.upper().replace('API_','')
return dbapi_api_register_unregister(dbsession, xaction, input_dict, action_filter, caller_area=_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() == 'VALIDATE' or action.upper() == 'VALIDATE_CREDENTIALS':
application_name=input_dict.get('application_name')
if not application_name:
application_name=action_filter.get('application_name')
client_id=input_dict.get('client_id')
if not client_id:
client_id=input_dict.get('application_client_id')
if not client_id:
client_id=action_filter.get('client_id')
if not client_id:
client_id=action_filter.get('application_client_id')
client_secretKey = input_dict.get('client_secretKey')
if not client_secretKey:
client_secretKey=input_dict.get('application_client_secretKey')
if not client_secretKey:
client_secretKey=action_filter.get('client_secretKey')
if not client_secretKey:
client_secretKey=action_filter.get('application_client_secretKey')
return dbapi_application_credentials_are_valid(dbsession, application_name, client_id, client_secretKey)
if action.upper() in ('ADD','INSERT','REGISTER','REFRESH'):
if not input_dict.get('application_name'):
msg = f'application name not defined'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not input_dict.get('subscription_id') and not input_dict.get('client_id'):
msg = f'subscription not defined'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
subscription = dbsession.get(dbmodel.SUBSCRIPTION, input_dict, caller_area=_process_call_area)
if not subscription:
client=dbsession.get(dbmodel.CLIENT, input_dict, caller_area=_process_call_area)
if client:
input_dict.update({'client_id': client.client_id})
subscription = dbsession.get(dbmodel.SUBSCRIPTION, input_dict, caller_area=_process_call_area)
if not subscription:
msg = f'subscription not found'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not subscription.status=='Active':
msg = f'subscription not Active'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
app_rec={'application_name':input_dict.get('application_name')}
application = dbsession.get(dbmodel.APPLICATION, app_rec, caller_area=_process_call_area)
if application:
if not application.subscription_id == subscription.subscription_id:
msg = f'application {application.application_name} already in used. try another name'
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
subscription_record = subscription.to_dict()
input_dict.update(subscription_record)
client=dbsession.get(dbmodel.CLIENT, input_dict, caller_area=_process_call_area)
if not client:
msg = f'client not found'
api_result = {'api_status': 'systemerror', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not client.status=='Active':
msg = f'client not Active'
api_result = {'api_status': 'system error', 'api_message': msg, 'api_data': input_dict}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
action_result = dbsession.table_action(dbmodel.APPLICATION, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
if api_result.get('api_status') == 'success':
user_dict=api_result.get('api_data')
user_dict.update({'user_role':'owner'})
dbapi_application_USER(dbsession, 'register', user_dict,caller_area=_process_call_area)
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_application_credentials_are_valid(dbsession, application_name, client_id, client_secretKey ,caller_area={}):
_api_name = "dbapi_application_credentials_are_valid"
_api_entity = 'APPLICATION'
_api_action = 'validation'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'application_name', application_name,**_process_call_area)
log_process_input('', 'client_id', client_id,**_process_call_area)
log_process_input('', 'client_secretKey', client_secretKey,**_process_call_area)
application=dbsession.get(dbmodel.APPLICATION, {'application_name': application_name}, caller_area=_process_call_area)
if not application:
api_result=False
else:
if not application.client_id == client_id or not application.client_secretKey == client_secretKey:
api_result=False
else:
api_result=True
log_process_result(_api_msgID, api_result, data_name='application_credentials_are_valid', **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_application_api(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_application_api"
_api_entity = 'APPLICATION_API'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.APPLICATION_API, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_application_USER(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_application_user"
_api_entity = 'APPLICATION_USER'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() in ('REGISTER', 'UNREGISTER', 'ADD', 'REFRESH'):
if not input_dict.get('user_role'):
msg = f'user role not defined'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_id = input_dict.get('client_id')
if client_id:
client = dbsession.get(dbmodel.CLIENT, {'client_id': client_id}, caller_area=_process_call_area)
else:
client = dbsession.refresh(dbmodel.CLIENT, input_dict, auto_commit=True, caller_area=_process_call_area)
if not client:
msg = f'client not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not client.status == 'Active':
msg = f"client not Active.(status:{client.status})"
log_process_message('', 'warning', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
#return api_result
application_name=input_dict.get('application_name')
application = dbsession.get(dbmodel.APPLICATION, {'application_name': application_name}, caller_area=_process_call_area)
if not application:
application_id=input_dict.get('application_id')
application = dbsession.get(dbmodel.APPLICATION, {'application_id': application_id}, caller_area=_process_call_area)
if not application:
msg = f'application not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not application.status == 'Active':
msg = f"application not Active.(status:{application.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
app_rec = application.to_dict()
client_rec = client.to_dict()
input_dict.update(app_rec)
input_dict.update(client_rec)
# input_dict.update({'application_name': application.application_name})
# input_dict.update({'application_id': application.application_id})
# input_dict.update({'client_id': application.client_id})
# input_dict.update({'client_id': application.client_id})
# if not input_dict.get('status'):
# input_dict.update({'status': 'Active'})
action_result = dbsession.table_action(dbmodel.APPLICATION_USER, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_application_template(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_template"
_api_entity = 'TEMPLATE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.APPLICATION_TEMPLATE, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_token(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_token"
_api_entity = 'TOKEN'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.TOKEN, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_subscription(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_subscription"
_api_entity = 'SUBSCRIPTION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
input_dict.update({'client_type': 'subscriber'})
if action.upper() in ('REGISTER','ADD','REFRESH'):
user = dbsession.get(dbmodel.USER, input_dict, caller_area=_process_call_area)
if not user:
user_id = ''
else:
user_id = user.user_id
input_dict.update({'user_id': user_id})
if action.upper() in ('REGISTER','ADD','REFRESH'):
xaction='REFRESH'
action_result = dbsession.table_action(dbmodel.CLIENT, xaction, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
thismsg=action_result.get('api_message')
api_result.update({'api_action': _api_action, 'api_name': _api_name})
if not api_result.get('api_status') == 'success':
msg = f"subscription not registered. client record create failed"
log_process_message(_api_msgID, 'error', msg, **_process_call_area)
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client = api_result.get('api_data')
client_id = client.get('client_id')
client_secretKey = client.get('client_secretKey')
input_dict.update({'client_id': client_id})
input_dict.update({'client_secretKey': client_secretKey})
elif action.upper() in ('CONFIRM', 'ACTIVATE', 'DEACTIVATE', 'DELETE'):
subscription_dict = dbsession.get(dbmodel.SUBSCRIPTION, input_dict, 'DICT', caller_area=_process_call_area)
if not subscription_dict:
msg = f'subscription not found'
action_status='error'
api_result = {'api_status': action_status, 'api_message': msg, 'api_data': input_dict, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client=dbsession.get(dbmodel.CLIENT, subscription_dict,'', caller_area=_process_call_area)
if not client:
msg = f'client not found'
action_status='error'
api_result = {'api_status': action_status, 'api_message': msg, 'api_data': subscription_dict, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_id = client.client_id
client_secretKey = client.client_secretKey
input_dict.update({'client_id': client_id})
input_dict.update({'client_secretKey': client_secretKey})
api_result = dbsession.table_action(dbmodel.CLIENT, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
thismsg=api_result.get('api_message')
if not api_result.get('api_status') == 'success':
msg = f'action {action.upper()} on client {client_id} failed'
log_process_message(_api_msgID, 'error', msg, **_process_call_area)
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_dict = api_result.get('api_data', {})
client_status = client_dict.get('status')
subscription_dict = dbsession.get(dbmodel.SUBSCRIPTION, subscription_dict, 'DICT', caller_area=_process_call_area)
client_id=subscription_dict.get('client_id')
input_dict.update({'status': client_status})
input_dict.update({'client_id': client_id})
action_result = dbsession.table_action(dbmodel.SUBSCRIPTION, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
thismsg=thismsg.replace('CLIENT',_api_entity)
api_result.update({'api_action': _api_action, 'api_name': _api_name,'api_message':thismsg})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_user(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_user"
_api_entity = 'USER'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
api_result = dbsession.table_action(dbmodel.USER, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
if not api_result.get('api_status') == 'success':
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
# #::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_merchant(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_merchant"
_api_entity = 'MERCHANT'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if (action.upper().find('BANKACCOUNT') >= 0 and action.upper().find('GET') >= 0) or action.upper() in ('BANKACCOUNTS', 'BANKACCOUNT'):
return dbapi_merchant_get_bankaccounts(dbsession, input_dict, action_filter, caller_area=_process_call_area)
elif action.upper().find('BANKACCOUNT') >= 0 and action.upper().find('REGISTER') >= 0:
return dbapi_merchant_bankaccount_register(dbsession, input_dict, action_filter, caller_area=_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
input_dict.update({'client_type': 'merchant'})
if action.upper() in ('REGISTER','ADD','REFRESH'):
action='REFRESH'
action_result = dbsession.table_action(dbmodel.CLIENT, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
thismsg=action_result.get('api_message')
if not api_result.get('api_status') == 'success':
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client = api_result.get('api_data')
client_id = client.get('client_id')
input_dict.update({'client_id': client_id})
elif action.upper() in ('CONFIRM', 'ACTIVATE', 'DEACTIVATE', 'DELETE'):
merchant_dict = dbsession.get(dbmodel.MERCHANT, input_dict, 'DICT', caller_area=_process_call_area)
if not merchant_dict:
msg = f'merchant not found'
action_status='error'
api_result = {'api_status': action_status, 'api_message': msg, 'api_data': input_dict, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_dict=dbsession.get(dbmodel.CLIENT, merchant_dict,'DICT', caller_area=_process_call_area)
if not client_dict:
msg = f'client not found'
action_status='error'
api_result = {'api_status': action_status, 'api_message': msg, 'api_data': merchant_dict, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#action='CONFIRM'
action_result = dbsession.table_action(dbmodel.CLIENT, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
thismsg=action_result.get('api_message')
# api_result = dbapi_client_confirm(client_dict)
if not api_result.get('api_status') == 'success':
# msg = f'client confirmation failed'
# api_result.update({'api_message':msg})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
merchant_dict = dbsession.get(dbmodel.MERCHANT, merchant_dict, 'DICT', caller_area=_process_call_area)
status=merchant_dict.get('status')
client_id=merchant_dict.get('client_id')
# if not merchant_dict.get('status') == 'Active':
# msg = f"service provider not confirmed. status={status}"
# action_status='error'
# api_result = {'api_status': action_status, 'api_message': msg, 'api_data': merchant_dict, 'messages': messages, 'rows_added': rows_added, 'rows_updated': rows_updated, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
input_dict.update({'status': status})
input_dict.update({'client_id': client_id})
action_result = dbsession.table_action(dbmodel.MERCHANT, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
#thismsg=thismsg.replace('CLIENT',_api_entity)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_retail_store(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_retail_store"
_api_entity = 'RETAIL_STORE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() in ('REGISTER', 'ADD', 'REFRESH'):
merchant_id = input_dict.get('merchant_id')
merch_rec = {'merchant_id': merchant_id}
merchant_name = input_dict.get('merchant_name')
if merchant_name:
merch_rec.update({'merchant_name':merchant_name})
merchant = dbsession.get(dbmodel.MERCHANT, merch_rec, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'merchant_id': merchant.merchant_id})
if not input_dict.get('status'):
input_dict.update({'status': 'Active'})
action_result = dbsession.table_action(dbmodel.RETAIL_STORE, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_pointofsale(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_pointofsale"
_api_entity = 'POINT_OF_SALE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper().find('BANKACCOUNT') >= 0 and (action.upper().find('ADD') >= 0 or action.upper().find('REGISTER') >= 0):
return dbapi_pointofsale_bankaccount_remove(dbsession, input_dict, action_filter, caller_area=_process_call_area)
elif action.upper().find('BANKACCOUNT') >= 0 and (action.upper().find('REMOVE') >= 0 or action.upper().find('DELETE') >= 0):
return dbapi_pointofsale_bankaccount_add(dbsession, input_dict, action_filter, caller_area=_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() in ('REGISTER', 'ADD', 'REFRESH'):
retail_store_id = input_dict.get('retail_store_id')
store_rec={'retail_store_id':retail_store_id}
retail_store = dbsession.get(dbmodel.RETAIL_STORE, store_rec, caller_area=_process_call_area)
if not retail_store:
msg = f'retail_store not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not retail_store.status == 'Active':
msg = f"retail_store not Active.(status:{retail_store.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'retail_store_id': retail_store.retail_store_id})
merchant_id = retail_store.merchant_id
merch_rec = {'merchant_id': merchant_id}
merchant = dbsession.get(dbmodel.MERCHANT, merch_rec, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'merchant_id': merchant.merchant_id})
if not input_dict.get('status'):
input_dict.update({'status': 'Active'})
action_result = dbsession.table_action(dbmodel.POINT_OF_SALE, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_service_point(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_service_point"
_api_entity = 'SERVICE_POINT'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() in ('REGISTER', 'ADD', 'REFRESH'):
retail_store_id = input_dict.get('retail_store_id')
store_rec={'retail_store_id':retail_store_id}
retail_store = dbsession.get(dbmodel.RETAIL_STORE, store_rec, caller_area=_process_call_area)
if not retail_store:
msg = f'retail_store not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not retail_store.status == 'Active':
msg = f"retail_store not Active.(status:{retail_store.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'retail_store_id': retail_store.retail_store_id})
merchant_id = retail_store.merchant_id
merch_rec = {'merchant_id': merchant_id}
merchant = dbsession.get(dbmodel.MERCHANT, merch_rec, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'merchant_id': merchant.merchant_id})
if not input_dict.get('status'):
input_dict.update({'status': 'Active'})
action_result = dbsession.table_action(dbmodel.SERVICE_POINT, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_customer_service_assistant(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_customer_service_assistant"
_api_entity = 'CUSTOMER_SERVICE_ASSISTANT'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if action.upper() in ('REGISTER', 'ADD', 'REFRESH'):
merchant_id=input_dict.get('merchant_id')
merch_rec = {'merchant_id': merchant_id}
merchant = dbsession.get(dbmodel.MERCHANT, merch_rec, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not input_dict.get('status'):
input_dict.update({'status': 'Active'})
#client
if input_dict.get('email'):
action='REFRESH'
input_dict.update({'client_type': 'customer_service_assistant'})
action_result = dbsession.table_action(dbmodel.CLIENT, action, input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
thismsg=action_result.get('api_message')
if not api_result.get('api_status') == 'success':
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client = api_result.get('api_data')
client_id = client.get('client_id')
input_dict.update({'client_id': client_id})
action_result = dbsession.table_action(dbmodel.CUSTOMER_SERVICE_ASSISTANT, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_merchant_get_bankaccounts(dbsession, merchant_record, action_filter={}, caller_area={}):
_api_name = "dbapi_merchant_get_bankaccounts"
_api_entity = 'MERCHANT'
_api_action = 'get_bank_accounts'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', merchant_record,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
merchant = dbsession.get(dbmodel.MERCHANT, merchant_record, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
client_id = merchant.client_id
merchant_accounts=[]
filterJson = {"client_id": client_id, "status": 'Active'}
bank_accounts=dbsession.get_rows(dbmodel.BANK_ACCOUNT, filterJson, caller_area=_process_call_area)
if bank_accounts:
msg = f'[{len(bank_accounts)} bank accounts found] for merchant [{merchant.name}] client_id [{client_id}]'
log_process_message('', 'success', msg, **_process_call_area)
for bank_account in bank_accounts:
bank_account_id = str(bank_account.bank_account_id)
bank_accountID = str(bank_account.bank_accountID)
merchant_accounts.append(bank_account_id)
msg = f'OK. [{len(merchant_accounts)} bank accounts]'
api_result = {'api_status': 'success', 'api_message': msg, 'data_records': len(merchant_accounts), 'api_data': merchant_accounts, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_merchant_bankaccount_register(dbsession, bankaccount_record, action_filter={}, caller_area={}):
_api_name = "dbapi_merchant_bankaccount_register"
_api_entity = 'MERCHANT'
_api_action = 'register_bank_account'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', bankaccount_record,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
merchant = dbsession.get(dbmodel.MERCHANT, bankaccount_record, caller_area=_process_call_area)
if not merchant:
msg = f'merchant not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not merchant.status == 'Active':
msg = f"merchant not Active.(status:{merchant.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
bank_account_id=None
account_id = bankaccount_record.get('bank_account_id')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
account_id = bankaccount_record.get('bank_accountID')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
account_id = bankaccount_record.get('bank_account')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
msg = f"bank_account not found"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
bankaccount_record.update({'bank_account_id':bank_account_id})
bankaccount_record.update({'merchant_id':merchant.merchant_id})
bank_account = dbsession.get(dbmodel.BANK_ACCOUNT, {'bank_account_id':bank_account_id}, caller_area=_process_call_area)
if not bank_account:
msg = f"bank account not found"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not bank_account.status == 'Active':
msg = f"bank account {bank_account_id} not Active (status:{bank_account.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
merchant_record = bank_account.to_dict()
merchant_record.update({'merchant_id': merchant.merchant_id})
api_result = dbsession.table_action(dbmodel.MERCHANT, 'UPDATE', merchant_record, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_pointofsale_bankaccount_add(dbsession, bankaccount_record, action_filter={}, caller_area={}):
_api_name = "dbapi_pointofsale_bankaccount_add"
_api_entity = 'POINT_OF_SALE'
_api_action = 'add_bank_account'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', bankaccount_record,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, bankaccount_record, caller_area=_process_call_area)
if not pointofsale:
msg = f'pointofsale not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not pointofsale.status == 'Active':
msg = f"pointofsale not Active.(status:{pointofsale.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
bank_account_id=None
account_id = bankaccount_record.get('bank_account_id')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
account_id = bankaccount_record.get('bank_accountID')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
account_id = bankaccount_record.get('bank_account')
if account_id:
bank_account_id = dbapi_get_bank_account_id(dbsession, account_id, caller_area={})
if not bank_account_id:
msg = f"bank_account not found"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
bankaccount_record.update({'bank_account_id':bank_account_id})
bankaccount_record.update({'pointofsale_id':pointofsale.pointofsale_id})
bank_account = dbsession.get(dbmodel.BANK_ACCOUNT, {'bank_account_id':bank_account_id}, caller_area=_process_call_area)
if not bank_account:
msg = f"bank account not found"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not bank_account.status == 'Active':
msg = f"bank account {bank_account_id} not Active (status:{bank_account.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
pointofsale_record = bank_account.to_dict()
pointofsale_record.update({'pointofsale_id': pointofsale.pointofsale_id})
api_result = dbsession.table_action(dbmodel.POINT_OF_SALE, 'UPDATE', pointofsale_record, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_pointofsale_bankaccount_remove(dbsession, pointofsale_record, action_filter={}, caller_area={}):
_api_name = "dbapi_pointofsale_bankaccount_remove"
_api_entity = 'POINT_OF_SALE'
_api_action = 'remove_bank_account'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', pointofsale_record,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, pointofsale_record, caller_area=_process_call_area)
if not pointofsale:
msg = f'pointofsale not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not pointofsale.status == 'Active':
msg = f"pointofsale not Active.(status:{pointofsale.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
pointofsale_record = pointofsale.to_dict()
pointofsale_record.update({
'bank_account_id' : '',
'bank_subscription_id' : '',
'bank_code' : '',
'bank_subscriptionID' : '',
'bank_accountID' : '',
'payments_currency' : '',
})
api_result = dbsession.table_action(dbmodel.POINT_OF_SALE, 'UPDATE', pointofsale_record, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_pointofsale_credit_info(dbsession, pointofsale_record, action_filter={}, caller_area={}):
_api_name = "dbapi_pointofsale_credit_info"
_api_entity = 'POINT_OF_SALE'
_api_action = 'get_pointofsale_credit_info'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', pointofsale_record,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, pointofsale_record, caller_area=_process_call_area)
if not pointofsale:
msg = f'pointofsale not found'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not pointofsale.status == 'Active':
msg = f"pointofsale not Active.(status:{pointofsale.status})"
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
pointofsale_id=pointofsale.pointofsale_id
merchant_id=pointofsale.merchant_id
pointofsale_name = pointofsale.name
bank_account_id = pointofsale.bank_account_id
bank_subscription_id = pointofsale.bank_subscription_id
bank_code = pointofsale.bank_code
bank_subscriptionID = pointofsale.bank_subscriptionID
bank_accountID = pointofsale.bank_accountID
payments_currency = pointofsale.payments_currency
pointofsale_record = pointofsale.to_dict()
if not bank_accountID:
merchant = dbsession.get(dbmodel.MERCHANT, {'merchant_id':merchant_id}, caller_area=_process_call_area)
bank_account_id = merchant.bank_account_id
bank_subscription_id = merchant.bank_subscription_id
bank_code = merchant.bank_code
bank_subscriptionID = merchant.bank_subscriptionID
bank_accountID = merchant.bank_accountID
payments_currency = merchant.payments_currency
x = ' from merchant'
else:
x = ' from point_of_sale'
credit_info = {
'pointofsale_id': pointofsale_id,
'pointofsale_name':pointofsale_name,
'bank_account_id':bank_account_id,
'bank_subscription_id':bank_subscription_id,
'bank_code':bank_code,
'bank_subscriptionID':bank_subscriptionID,
'bank_accountID':bank_accountID,
'payments_currency': payments_currency,
}
msg = f"OK. pointofsale credit info retrieved [{x}]"
log_process_message('', 'success', msg, **_process_call_area)
api_result = {'api_status': 'success', 'api_message': msg, 'api_data':credit_info, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_interaction"
_api_entity = 'INTERACTION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
if action.upper() in ('START','REQUEST'):
return dbapi_interaction_start(dbsession, input_dict, caller_area=caller_area)
elif action.upper() == 'ACCEPT':
return dbapi_interaction_finish(dbsession, input_dict, caller_area=caller_area)
elif action.upper() == 'FINISH':
return dbapi_interaction_finish(dbsession, input_dict, caller_area=caller_area)
elif action.upper() == 'MESSAGE':
return dbapi_interaction_message_add(dbsession, input_dict, caller_area=caller_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area, **_process_call_area)
action_result = dbsession.table_action(dbmodel.INTERACTION, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction_message(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_interaction_message"
_api_entity = 'INTERACTION_MESSAGE'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.INTERACTION_MESSAGE, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_bank(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_bank"
_api_entity = 'BANK'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.BANK, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_bank_authorization(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_bank_authorization"
_api_entity = 'BANK_AUTHORIZATION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.BANK_AUTHORIZATION, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_bank_subscription(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_bank_subscription"
_api_entity = 'BANK_SUBSCRIPTION'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.BANK_SUBSCRIPTION, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_bank_account(dbsession, action, input_dict, action_filter={}, caller_area={}):
_api_name = "dbapi_bank_account"
_api_entity = 'BANK_ACCOUNT'
_api_action = action
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'action_filter', action_filter,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
action_result = dbsession.table_action(dbmodel.BANK_ACCOUNT, action , input_dict, action_filter, auto_commit=True, caller_area=_process_call_area)
api_result = action_result
api_result.update({'api_action': _api_action, 'api_name': _api_name})
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_get_bank_account_id(dbsession, any_accountid, caller_area={}):
if not any_accountid:
return None
_api_name = "dbapi_get_bank_account_id"
_api_entity = 'BANK_ACCOUNT'
_api_action = 'get'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
account = dbsession.get(dbmodel.BANK_ACCOUNT, {'bank_account_id': any_accountid}, caller_area=_process_call_area)
if account:
bank_account_id = account.bank_account_id
else:
account = dbsession.get(dbmodel.BANK_ACCOUNT, {'bank_accountID': any_accountid}, caller_area=_process_call_area)
if account:
bank_account_id = account.bank_account_id
else:
bank_account_id = None
return bank_account_id
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_get_bank_code(dbsession, any_bank_id, return_field='bank_id', caller_area={}):
if not any_bank_id:
return None
_api_name = "dbapi_get_bank_code"
_api_entity = 'BANK'
_api_action = 'get'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
bank = dbsession.get(dbmodel.BANK, {'bank_id': any_bank_id}, caller_area=_process_call_area)
if not bank:
bank = dbsession.get(dbmodel.BANK, {'bank_code': any_bank_id}, caller_area=_process_call_area)
if not bank:
bank = dbsession.get(dbmodel.BANK, {'bank_BIC': any_bank_id}, caller_area=_process_call_area)
if not bank:
return None
if return_field.upper().find('CODE') >=0:
return bank.bank_code
elif return_field.upper().find('BIC') >=0:
return bank.bank_BIC
else:
return bank.bank_id
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_device_log(dbsession, device_uid, application_name, geolocation_lat, geolocation_lon, client_id, caller_area={}):
_api_name="dbapi_device_log"
_api_entity = 'DEVICE'
_api_action = 'log'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'device_uid', device_uid,**_process_call_area)
log_process_input('', 'application_name', application_name,**_process_call_area)
log_process_input('', 'geolocation_lat', geolocation_lat,**_process_call_area)
log_process_input('', 'geolocation_lon', geolocation_lon,**_process_call_area)
log_process_input('', 'client_id', client_id,**_process_call_area)
# print(geolocation_lat,geolocation_lon)
# glat=geoloc_to_integer(geolocation_lat)
# glon = geoloc_to_integer(geolocation_lon)
# print(glat,glon)
# glat2=integer_to_geoloc(glat)
# glon2 = integer_to_geoloc(glon)
# print(glat2,glon2)
# geolocation_lat=geoloc_to_integer(geolocation_lat)
# geolocation_lon=geoloc_to_integer(geolocation_lon)
# print(geolocation_lat,geolocation_lon)
now = datetime.datetime.utcnow()
application_id = None
if not application_name:
application_name='?'
application = dbsession.get(dbmodel.APPLICATION, {'application_name': application_name}, caller_area=_process_call_area)
if application:
application_id = application.application_id
device_record = {'device_uid': device_uid, 'last_usage_geolocation_lat': geolocation_lat, 'last_usage_geolocation_lon': geolocation_lon, 'last_usage_timestamp': now}
usage_record = {'device_uid': device_uid, 'application_name': application_name, 'geolocation_lat': geolocation_lat, 'geolocation_lon': geolocation_lon, 'client_id': client_id}
client_device_record = {'device_uid': device_uid, 'client_id': client_id, 'application_name': application_name, 'application_id': application_id, 'last_usage_timestamp': now}
device = dbsession.refresh(dbmodel.DEVICE, device_record, auto_commit=False, caller_area=_process_call_area)
device_usage = dbsession.refresh(dbmodel.DEVICE_USAGE,usage_record, auto_commit=False, caller_area=_process_call_area)
client_device = dbsession.refresh(dbmodel.CLIENT_DEVICE,client_device_record, auto_commit=False, caller_area=_process_call_area)
dbsession.commit(**_process_call_area)
if client_device:
logged_record = client_device.to_dict()
if device.times_used <= 1:
msg=f"OK. new device logged"
else:
msg = f"OK. device logged, times_used:{device_usage.times_used}/{client_device.times_used}"
log_process_message('', 'success', msg, **_process_call_area)
api_result = {'api_status': 'success', 'api_message': msg, 'api_data': logged_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
else:
msg = f"device logged FAILED"
api_result = {'api_status': 'error', 'api_message': msg, 'api_data': {}, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_token_is_valid(dbsession, token, caller_area={}):
_api_name = "dbapi_token_is_valid"
_api_entity = 'TOKEN'
_api_action = 'validation'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'token', token,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
if type(token) == type(''):
input_dict = {'token': token}
elif type(token) == type({}):
input_dict = token
else:
msg='invalid token provided'
log_process_message('', 'error', msg, **_process_call_area)
return False
if not input_dict.get('token'):
msg='no token provided'
log_process_message('', 'error', msg, **_process_call_area)
return False
token_record = dbsession.get(dbmodel.TOKEN, input_dict, caller_area=_process_call_area)
if not token_record:
msg = f'access token is NOT valid.(not found)'
log_process_message('', 'error', msg, **_process_call_area)
return False
expiryDT = token_record.expiryDT
if not expiryDT:
msg = f'access token is NOT valid.(no expiryDT)'
log_process_message('', 'error', msg, **_process_call_area)
return False
#universal time
#GMT=Greenwich Mean Time
#UTC=Coordinated Universal Time
#There is no time difference between Coordinated Universal Time and Greenwich Mean Time
#nowString = datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S')
#now=datetime.datetime.utcnow()
if expiryDT < datetime.datetime.utcnow():
msg = f'access token is NOT valid.(expired)'
api_result = False
api_result = True
log_process_result(_api_msgID, api_result, data_name='access_token_is_valid', **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_token_get_access_token(dbsession, token_request, caller_area={}):
_api_name = "dbapi_token_get_access_token"
_api_entity = 'TOKEN'
_api_action = 'GET_TOKEN'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'token_request', token_request,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
application_name=token_request.get('application_name')
client_id=token_request.get('application_client_id')
client_secretKey=token_request.get('application_client_secretKey')
application = dbsession.get(dbmodel.APPLICATION, {'application_name': application_name, 'client_id': client_id}, caller_area=_process_call_area)
if not application:
msg='application not registered'
api_result={'api_status': 'error', 'api_message': msg,'api_data':{}}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if not application.client_id == client_id or not application.client_secretKey == client_secretKey:
msg='application credentials not valid'
api_result={'api_status': 'error', 'api_message': msg,'api_data':{}}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
token_duration_secs = 3600 #1 hour
if token_request.get('token_scope') == 'application_service':
token_duration_secs = 3600 #1 hour
token_request.update({'duration_seconds':token_duration_secs})
token_request.update({'status':'Active'})
expiryDT = datetime.datetime.utcnow() + datetime.timedelta(seconds=token_duration_secs)
token_request.update({'expiryDT': expiryDT})
if 'token' in token_request.keys():
token_request.pop('token')
token = dbsession.insert(dbmodel.TOKEN, token_request,auto_commit=True, caller_area=_process_call_area)
if not token:
msg='token generation failed'
api_result={'api_status': 'system error', 'api_message': msg,'api_data':{}}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
token_record = {
'token_type': token.token_type,
'token_scope': token.token_scope,
'grant_type': token.grant_type,
'token': token.token,
'duration_seconds': token.duration_seconds,
'expiryDT': token.expiryDT,
}
msg='OK. token generated'
api_result={'api_status': 'success', 'api_message': msg,'api_data':token_record}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_cleanup_tokens(dbsession, caller_area={}):
_api_name = "debapi_cleanup_tokens"
_api_entity = 'TOKEN'
_api_action = 'CLEANUP'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
where_expression = {'status': 'Expired'}
deleted_result = dbsession.delete_rows(dbmodel.TOKEN, where_expression, auto_commit=True)
deleted_rows = deleted_result.get('rows_deleted', 0)
#nowString = datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S')
#where_expression = f"expiryDT<'{datetime.datetime.utcnow()}'"
where_expression = {'expiryDT': {datetime.datetime.utcnow()}}
update_dict = {'status': 'Expired'}
expired_result = dbsession.update_rows(dbmodel.TOKEN, update_dict,where_expression, auto_commit=True, caller_area=_process_call_area)
expired_rows = expired_result.get('rows_updated', 0)
msg = f'tokens cleaned with {expired_rows} tokens expired, {deleted_rows} removed.'
api_result = {'api_status': 'success', 'api_message': msg, 'rows_expired': expired_rows, 'rows_removed': deleted_rows}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction_start(dbsession, input_dict, caller_area={}):
_api_name = "dbapi_interaction_start"
_api_entity = 'INTERACTION'
_api_action = 'START'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
#////////////////////////////////////////
originator = None
originator_id = None
originator_name = None
corresponder = None
corresponder_id = None
corresponder_name = None
#////////////////////////////////////////
#step-1: originator
(originator, originator_id, originator_name) = find_originator(dbsession, input_dict, _process_call_area)
# originator_id = input_dict.get('originator_id')
# if originator_id:
# xid = dbsession.get(dbmodel.CLIENT, {'client_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='client'
# originator_name = xid.email
# else:
# xid = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='pointofsale'
# originator_name = xid.name
# else:
# msg = f'originator not valid'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# xoriginator = input_dict.get('originator')
# if xoriginator and not xoriginator == originator:
# msg = f'originator_id not valid for originator {xoriginator}'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# else:
# client_id = input_dict.get('client_id')
# if client_id:
# client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
# if not client:
# msg = f'client not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='client'
# originator_id=client_id
# originator_name = client.email
# else:
# pointofsale_id = input_dict.get('pointofsale_id')
# if pointofsale_id:
# pointofsale=dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':pointofsale_id}, caller_area=_process_call_area)
# if not pointofsale:
# msg = f'pointofsale not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='pointofsale'
# originator_id=pointofsale_id
# originator_name = pointofsale.name
# else:
# msg = f'no pointofsale or consumer or client defined'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
if not originator_id:
msg = f'originator not defined (pointofsale or client or service_point)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
xoriginator = input_dict.get('originator')
if xoriginator and not xoriginator == originator:
msg = f'originator_id not valid for originator {xoriginator}'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'originator': originator})
input_dict.update({'originator_id': originator_id})
input_dict.update({'originator_name': originator_name})
msg = f'originator set to [{originator_name}]'
log_process_message('', 'success', msg, **_process_call_area)
#step-2: corresponder
(corresponder, corresponder_id, corresponder_name) = find_corresponder(dbsession, input_dict, _process_call_area)
# corresponder_id = input_dict.get('corresponder_id')
# if not corresponder_id:
# msg = f'no corresponder specified'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':corresponder_id}, caller_area=_process_call_area)
# if pointofsale:
# corresponder='pointofsale'
# corresponder_id = pointofsale.pointofsale_id
# corresponder_name = pointofsale.name
# else:
# xid = dbsession.get(dbmodel.CLIENT, {'client_id':corresponder_id}, caller_area=_process_call_area)
# if xid:
# corresponder='client'
# corresponder_id=xid.client_id
# corresponder_name = xid.email
# else:
# msg = f'corresponder not valid'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
if not corresponder_id:
msg = f'corresponder not valid'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
xcorresponder = input_dict.get('corresponder')
if xcorresponder and not xcorresponder == corresponder:
msg = f'corresponder_id not valid for corresponder {xcorresponder}'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'corresponder': corresponder})
input_dict.update({'corresponder_id': corresponder_id})
input_dict.update({'corresponder_name': corresponder_name})
msg = f'corresponder set to [{corresponder_name}]'
log_process_message('', 'success', msg, **_process_call_area)
#step-3: already active
filterJson = {"originator": originator, "originator_id": originator_id, "status": 'Active'}
active_interactions=dbsession.get_rows(dbmodel.INTERACTION, filterJson, caller_area=_process_call_area)
if active_interactions:
msg = f'[{len(active_interactions)} active interactions found] for originator [{originator_name}]'
log_process_message('', 'warning', msg, **_process_call_area)
for active_interaction in active_interactions:
interaction_id = active_interaction.interaction_id
time_start = active_interaction.row_timestamp
time_end = datetime.datetime.utcnow()
diff = time_end - time_start
duration = diff.days * 24 * 60 * 60 + diff.seconds
interaction_rec = active_interaction.to_dict()
interaction_rec.update({'status':'canceled','completed_timestamp':time_end,'duration':duration})
active_interaction = dbsession.update(dbmodel.INTERACTION, interaction_rec, auto_commit=True, caller_area=_process_call_area)
#step-4: corresponder is available (not active)
filterJson = {"corresponder": corresponder, "corresponder_id": corresponder_id, "status": 'Active'}
active_interactions=dbsession.get_rows(dbmodel.INTERACTION, filterJson, caller_area=_process_call_area)
if active_interactions:
msg = f'[{len(active_interactions)} active interaction(s) found] for corresponder [{corresponder_name}]'
log_process_message('', 'warning', msg, **_process_call_area)
for active_interaction in active_interactions:
interaction_id = active_interaction.interaction_id
time_start = active_interaction.row_timestamp
time_end = datetime.datetime.utcnow()
diff = time_end - time_start
duration = diff.days * 24 * 60 * 60 + diff.seconds
if duration>5*60: # 5 minutes
interaction_rec = active_interaction.to_dict()
interaction_rec.update({'status':'canceled-timeout','completed_timestamp':time_end,'duration':duration})
active_interaction = dbsession.update(dbmodel.INTERACTION, interaction_rec, auto_commit=True, caller_area=_process_call_area)
msg = f'corresponder {corresponder_name} interaction {interaction_id} timed-out and canceled after {duration/60} minutes'
log_process_message('', 'warning', msg, **_process_call_area)
filterJson = {"corresponder": corresponder, "corresponder_id": corresponder_id, "status": 'Active'}
active_interactions=dbsession.get_rows(dbmodel.INTERACTION, filterJson, caller_area=_process_call_area)
if active_interactions:
msg = f'corresponder {corresponder_name} is not available'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#step-5: insert
input_dict.update({'status': 'Requested'})
interaction = dbsession.insert(dbmodel.INTERACTION, input_dict, auto_commit=True, caller_area=_process_call_area)
if not interaction:
msg = f'interaction start failed'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
interaction_id = interaction.interaction_id
#step-6: message
interaction_message = {
'interaction_id':interaction_id,
'originator_id':interaction.originator_id,
'originator': interaction.originator,
'originator_name': interaction.originator_name,
'message_type':'start',
'message_record':f"hi. i am {interaction.originator} {interaction.originator_name} and i want to interact with {interaction.corresponder} {interaction.corresponder_name}",
'content_type':'text',
'format':'',
'application_name': input_dict.get('application_name'),
'geolocation_lat': input_dict.get('geolocation_lat'),
'geolocation_lon': input_dict.get('geolocation_lon'),
}
start_message = dbsession.insert(dbmodel.INTERACTION_MESSAGE, interaction_message, auto_commit=True, caller_area=_process_call_area)
if not start_message:
msg = f'start message insert failed'
log_process_message('', 'error', msg, **_process_call_area)
msg = f'interaction start failed (message insert failed)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#shalimar
#step-6: result
interaction_record = interaction.to_dict()
msg=f'OK. interaction established between You and {corresponder.upper()} {corresponder_name}'
api_result = {'api_status': 'success', 'api_message': msg, 'interaction_id': interaction_id, 'api_data': interaction_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction_accept(dbsession, input_dict, caller_area={}):
_api_name = "dbapi_interaction_accept"
_api_entity = 'INTERACTION'
_api_action = 'ACCEPT'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
interaction_id = input_dict.get('interaction_id')
if not interaction_id:
msg = f'interaction not defined'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
interaction = dbsession.get(dbmodel.INTERACTION, {'interaction_id':interaction_id}, caller_area=_process_call_area)
if not interaction:
msg = f'interaction not found'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
if interaction.status == 'Active':
msg = f'interaction is already Active'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
if not interaction.status=='Requested':
msg = f'interaction is already [{interaction.status}]'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
#////////////////////////////////////////
originator = None
originator_id = None
originator_name = None
#////////////////////////////////////////
# #step-1: originator
# originator_id = input_dict.get('originator_id')
# if originator_id:
# xid = dbsession.get(dbmodel.CLIENT, {'client_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='client'
# originator_name = xid.email
# else:
# xid = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='pointofsale'
# originator_name = xid.name
# else:
# msg = f'originator not valid'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# xoriginator = input_dict.get('originator')
# if xoriginator and not xoriginator == originator:
# msg = f'originator_id not valid for originator {xoriginator}'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# else:
# client_id = input_dict.get('client_id')
# if client_id:
# client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
# if not client:
# msg = f'client not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='client'
# originator_id=client_id
# originator_name = client.email
# else:
# pointofsale_id = input_dict.get('pointofsale_id')
# if pointofsale_id:
# pointofsale=dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':pointofsale_id}, caller_area=_process_call_area)
# if not pointofsale:
# msg = f'pointofsale not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='pointofsale'
# originator_id=pointofsale_id
# originator_name = pointofsale.name
# else:
# msg = f'no pointofsale or client defined'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
(originator, originator_id, originator_name) = find_originator(dbsession, input_dict, _process_call_area)
if not originator_id:
msg = f'originator not defined (pointofsale or client or service_point)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
xoriginator = input_dict.get('originator')
if xoriginator and not xoriginator == originator:
msg = f'originator_id not valid for originator {xoriginator}'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
# if not originator or not originator_id:
# msg = f'originator(as corresponder) not defined (pointofsale or client)'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
if originator_id == interaction.originator_id:
msg = f'accepter [{originator_name}] same as requestor'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
if interaction.corresponder_id:
if not originator_id == interaction.corresponder_id:
msg = f'interaction must be accepted by [{interaction.corresponder}] {interaction.corresponder_name} [not] by [{originator}] {originator_name} '
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
input_dict.update({'corresponder': originator})
input_dict.update({'corresponder_id': originator_id})
input_dict.update({'corresponder_name': originator_name})
msg=f'corresponder: [{originator}] [[{originator_name}]]'
log_process_message('', 'success', msg, **_process_call_area)
interaction_message = {
'interaction_id': interaction_id,
'originator_id': originator_id,
'originator': originator,
'originator_name': originator_name,
'message_type':'accept',
'message_record':f"hi. i am {originator} {originator_name}. how can i help you Mr. {interaction.originator} {interaction.originator_name}",
'content_type':input_dict.get('content_type','text'),
'format':input_dict.get('format',''),
'application_name': input_dict.get('application_name'),
'geolocation_lat': input_dict.get('geolocation_lat'),
'geolocation_lon': input_dict.get('geolocation_lon'),
}
message = dbsession.insert(dbmodel.INTERACTION_MESSAGE, interaction_message, auto_commit=True, caller_area=_process_call_area)
if not message:
msg = f'interaction message add failed'
log_process_message('', 'error', msg, **_process_call_area)
time_start = interaction.row_timestamp
time_end = datetime.datetime.utcnow()
diff = time_end - time_start
duration = diff.days * 24 * 60 * 60 + diff.seconds
interaction_rec = interaction.to_dict()
interaction_rec.update({
'corresponder': originator,
'corresponder_id': originator_id,
'corresponder_name': originator_name,
'status': 'Active',
'last_usage_timestamp': datetime.datetime.utcnow(),
'accept_geolocation_lat':input_dict.get('geolocation_lat'),
'accept_geolocation_lon':input_dict.get('geolocation_lon'),
})
interaction = dbsession.update(dbmodel.INTERACTION, interaction_rec, auto_commit=True, caller_area=_process_call_area)
if not interaction:
msg = f'interaction accept failed'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_message('', 'error', msg, **_process_call_area)
return api_result
#step-6: result
interaction_rec = interaction.to_dict()
msg=f'OK. interaction accepted'
api_result = {'api_status': 'success', 'api_message': msg, 'interaction_id': interaction.interaction_id, 'api_data': interaction_rec, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction_finish(dbsession, input_dict, caller_area={}):
_api_name = "dbapi_interaction_finish"
_api_entity = 'INTERACTION'
_api_action = 'FINISH'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
interaction_id = input_dict.get('interaction_id')
if not interaction_id:
msg = f'interaction not defined'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
interaction = dbsession.get(dbmodel.INTERACTION, {'interaction_id':interaction_id}, caller_area=_process_call_area)
if not interaction:
msg = f'interaction not found'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
if not interaction.status=='Active':
msg = f'interaction not Active'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
#////////////////////////////////////////
originator = None
originator_id = None
originator_name = None
#////////////////////////////////////////
#step-1: originator
# originator_id = input_dict.get('originator_id')
# if originator_id:
# xid = dbsession.get(dbmodel.CLIENT, {'client_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='client'
# originator_name = xid.email
# else:
# xid = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='pointofsale'
# originator_name = xid.name
# else:
# msg = f'originator not valid'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# xoriginator = input_dict.get('originator')
# if xoriginator and not xoriginator == originator:
# msg = f'originator_id not valid for originator {xoriginator}'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# else:
# client_id = input_dict.get('client_id')
# if client_id:
# client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
# if not client:
# msg = f'client not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='client'
# originator_id=client_id
# originator_name = client.email
# else:
# pointofsale_id = input_dict.get('pointofsale_id')
# if pointofsale_id:
# pointofsale=dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':pointofsale_id}, caller_area=_process_call_area)
# if not pointofsale:
# msg = f'pointofsale not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='pointofsale'
# originator_id=pointofsale_id
# originator_name = pointofsale.name
# else:
# msg = f'no pointofsale or client defined'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
(originator, originator_id, originator_name) = find_originator(dbsession, input_dict, _process_call_area)
if not originator_id:
msg = f'originator not defined (pointofsale or client or service_point)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
xoriginator = input_dict.get('originator')
if xoriginator and not xoriginator == originator:
msg = f'originator_id not valid for originator {xoriginator}'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
# if not originator or not originator_id:
# msg = f'originator not defined (pointofsale or client)'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
if not (originator_id == interaction.originator_id or originator_id == interaction.corresponder_id):
msg = f'invalid originator [{originator_name}] for interaction [{interaction.interaction_id}]'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'originator': originator})
input_dict.update({'originator_id': originator_id})
input_dict.update({'originator_name': originator_name})
msg=f'originator: [{originator}] [[{originator_name}]]'
log_process_message('', 'success', msg, **_process_call_area)
interaction_message = {
'interaction_id': interaction_id,
'originator_id': input_dict.get('originator_id', ''),
'originator': input_dict.get('originator', ''),
'originator_name': input_dict.get('originator_name', ''),
'content_type': input_dict.get('content_type', 'text'),
'format': input_dict.get('format', ''),
'application_name': input_dict.get('application_name'),
'geolocation_lat': input_dict.get('geolocation_lat'),
'geolocation_lon': input_dict.get('geolocation_lon'),
'message_type': 'finish',
'message_record':f"goodbye. Thank you for interacting with us.{input_dict.get('originator')} {input_dict.get('originator_name')}",
}
message = dbsession.insert(dbmodel.INTERACTION_MESSAGE, interaction_message, auto_commit=True, caller_area=_process_call_area)
if not message:
msg = f'interaction message add failed'
log_process_message('', 'error', msg, **_process_call_area)
time_start = interaction.row_timestamp
time_end = datetime.datetime.utcnow()
diff = time_end - time_start
duration = diff.days * 24 * 60 * 60 + diff.seconds
interaction_rec = interaction.to_dict()
interaction_rec.update({'status':'completed','completed_timestamp':time_end,'duration':duration})
interaction = dbsession.update(dbmodel.INTERACTION, interaction_rec, auto_commit=True, caller_area=_process_call_area)
if not interaction:
msg = f'interaction finish failed'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_message('', 'error', msg, **_process_call_area)
return api_result
#step-6: result
interaction_rec = interaction.to_dict()
msg=f'OK. interaction finish'
api_result = {'api_status': 'success', 'api_message': msg, 'interaction_id': interaction.interaction_id, 'api_data': interaction_rec, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def dbapi_interaction_message_add(dbsession, input_dict, caller_area={}):
_api_name = "dbapi_interaction_message_add"
_api_entity = 'INTERACTION_MESSAGE'
_api_action = 'ADD'
_api_msgID = set_msgID(_api_name, _api_action, _api_entity)
_process_identity_kwargs = {'type': 'api', 'module': module_id, 'name': _api_name, 'action': _api_action, 'entity': _api_entity, 'msgID': _api_msgID,}
_process_adapters_kwargs = {'dbsession': dbsession}
_process_log_kwargs = {'indent_method': 'AUTO', 'indent_level':None}
_process_debug_level = get_debug_level(caller_area.get('debug_level'), **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_files = get_debug_files(_process_debug_level, **_process_identity_kwargs, **_process_adapters_kwargs)
_process_debug_kwargs={'debug_level':_process_debug_level,'debug_files':_process_debug_files}
_process_signature = build_process_signature(**_process_identity_kwargs, **_process_adapters_kwargs, **_process_debug_kwargs, **_process_log_kwargs)
_process_call_area = build_process_call_area(_process_signature, caller_area)
log_process_start(_api_msgID,**_process_call_area)
log_process_input('', 'input_dict', input_dict,**_process_call_area)
log_process_input('', 'caller_area', caller_area,**_process_call_area)
interaction_id = input_dict.get('interaction_id')
if not interaction_id:
msg = f'interaction not defined'
log_process_message('', 'error', msg, **_process_call_area)
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
interaction = dbsession.get(dbmodel.INTERACTION, {'interaction_id':interaction_id}, caller_area=_process_call_area)
if not interaction:
msg = f'interaction not found'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
if not interaction.status=='Active':
msg = f'interaction not Active'
api_result = {'api_status': 'error', 'api_message': msg}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return
#////////////////////////////////////////
originator = None
originator_id = None
originator_name = None
#////////////////////////////////////////
#step-1: originator
# originator_id = input_dict.get('originator_id')
# if originator_id:
# xid = dbsession.get(dbmodel.CLIENT, {'client_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='client'
# originator_name = xid.email
# else:
# xid = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':originator_id}, caller_area=_process_call_area)
# if xid:
# originator='pointofsale'
# originator_name = xid.name
# else:
# msg = f'originator not valid'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# xoriginator = input_dict.get('originator')
# if xoriginator and not xoriginator == originator:
# msg = f'originator_id not valid for originator {xoriginator}'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# else:
# client_id = input_dict.get('client_id')
# if client_id:
# client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=_process_call_area)
# if not client:
# msg = f'client not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='client'
# originator_id=client_id
# originator_name = client.email
# else:
# pointofsale_id = input_dict.get('pointofsale_id')
# if pointofsale_id:
# pointofsale=dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':pointofsale_id}, caller_area=_process_call_area)
# if not pointofsale:
# msg = f'pointofsale not found'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# originator='pointofsale'
# originator_id=pointofsale_id
# originator_name = pointofsale.name
# else:
# msg = f'no pointofsale or client defined'
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
# if not originator or not originator_id:
# msg = f'originator not defined (pointofsale or client)'
# log_process_message('', 'error', msg, **_process_call_area)
# api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
# log_process_finish(_api_msgID, api_result, **_process_call_area)
# return api_result
(originator, originator_id, originator_name) = find_originator(dbsession, input_dict, _process_call_area)
if not originator_id:
msg = f'originator not defined (pointofsale or client or service_point)'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
xoriginator = input_dict.get('originator')
if xoriginator and not xoriginator == originator:
msg = f'originator_id not valid for originator {xoriginator}'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
input_dict.update({'originator': originator})
input_dict.update({'originator_id': originator_id})
input_dict.update({'originator_name': originator_name})
if not (originator_id == interaction.originator_id or originator_id == interaction.corresponder_id):
msg = f'invalid originator [{originator_name}] for interaction [{interaction.interaction_id}]'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
msg=f'originator: [{originator}] [[{originator_name}]]'
log_process_message('', 'success', msg, **_process_call_area)
interaction_message = {
'interaction_id': interaction_id,
'originator_id': originator_id,
'originator': originator,
'originator_name': originator_name,
'message_type': input_dict.get('message_type', 'message'),
'message_record': input_dict.get('message_record', ''),
'content_type': input_dict.get('content_type', 'text'),
'format': input_dict.get('format', ''),
'application_name': input_dict.get('application_name'),
'geolocation_lat': input_dict.get('geolocation_lat'),
'geolocation_lon': input_dict.get('geolocation_lon'),
}
message = dbsession.insert(dbmodel.INTERACTION_MESSAGE, interaction_message, auto_commit=True, caller_area=_process_call_area)
if not message:
msg = f'interaction message add failed'
api_result = {'api_status': 'error', 'api_message': msg, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#step-6: result
message_record = message.to_dict()
msg=f'OK. interaction message added'
api_result = {'api_status': 'success', 'api_message': msg, 'interaction_message_id': message.interaction_message_id, 'api_data': message_record, 'api_action': _api_action.upper(), 'api_name': _api_name}
log_process_finish(_api_msgID, api_result, **_process_call_area)
return api_result
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def find_originator(dbsession,input_dict={},caller_area={}):
originator = None
originator_id = None
originator_name = None
originator_id = input_dict.get('originator_id')
if originator_id:
client = dbsession.get(dbmodel.CLIENT, {'client_id':originator_id}, caller_area=caller_area)
if client:
originator='client'
originator_name = client.email
else:
pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id': originator_id}, caller_area=caller_area)
if pointofsale:
originator='pointofsale'
originator_name = pointofsale.name
else:
service_point=dbsession.get(dbmodel.SERVICE_POINT, {'servicepoint_id':originator_id}, caller_area=caller_area)
if service_point:
originator='service_point'
originator_id=service_point.service_point_id
originator_name = service_point.name
else:
client_id = input_dict.get('client_id')
if client_id:
client=dbsession.get(dbmodel.CLIENT, {'client_id':client_id}, caller_area=caller_area)
if client:
originator='client'
originator_id=client_id
originator_name = client.email
else:
pointofsale_id = input_dict.get('pointofsale_id')
if pointofsale_id:
pointofsale=dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id':pointofsale_id}, caller_area=caller_area)
if pointofsale:
originator='pointofsale'
originator_id=pointofsale_id
originator_name = pointofsale.name
else:
servicepoint_id = input_dict.get('servicepoint_id')
if servicepoint_id:
service_point=dbsession.get(dbmodel.SERVICE_POINT, {'servicepoint_id':pointofsale_id}, caller_area=caller_area)
if service_point:
originator='service_point'
originator_id=service_point.service_point_id
originator_name = service_point.name
return (originator, originator_id, originator_name)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def find_corresponder(dbsession,input_dict={},caller_area={}):
corresponder = None
corresponder_id = None
corresponder_name = None
corresponder_id = input_dict.get('corresponder_id')
if corresponder_id:
client = dbsession.get(dbmodel.CLIENT, {'client_id':corresponder_id}, caller_area=caller_area)
if client:
corresponder='client'
corresponder_name = client.email
else:
pointofsale = dbsession.get(dbmodel.POINT_OF_SALE, {'pointofsale_id': corresponder_id}, caller_area=caller_area)
if pointofsale:
corresponder='pointofsale'
corresponder_name = pointofsale.name
else:
service_point=dbsession.get(dbmodel.SERVICE_POINT, {'servicepoint_id':corresponder_id}, caller_area=caller_area)
if service_point:
corresponder='service_point'
corresponder_id=service_point.service_point_id
corresponder_name = service_point.name
return (corresponder, corresponder_id, corresponder_name)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def set_msgID(api_name,api_action,api_entity):
msgid=f"#C0#api #C9#{api_name}#C0# [{api_entity}]#C0# action [[{api_action.upper()}]]#C0#"
return msgid
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def geoloc_to_integer(geoloc):
try:
d = decimal.Decimal(str(geoloc).replace(",", ".").strip())
except:
d = 0
i = int(d * 1000000000)
return i
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def integer_to_geoloc(i):
try:
d = decimal.Decimal(str(i))
except:
d = 0
geoloc = d / 1000000000
return geoloc
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# module initialization
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
module_configuration = retrieve_module_configuration(__file__, module_identityDictionary, module_configuration, print_enabled=consolelog_enabled, filelog_enabled=filelog_enabled, handle_as_init=False)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# (print_enabled, filelog_enabled, log_file, errors_file,consolelog_enabled)=get_globals_from_configuration(module_configuration)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
functions_ids=['dbapi_']
exclude_functions_ids = ['set_msgID', 'set_process_debug_level']
thisModuleObj = sys.modules[__name__]
module_configuration.update({'database_apis':[]})
module_configuration = add_apis_to_configuration('database_apis', module_configuration, thisModuleObj, functions_ids, exclude_functions_ids)
save_module_configuration(module_identityDictionary, module_configuration, print_enabled=consolelog_enabled, filelog_enabled=filelog_enabled)
thisApp.pair_module_configuration('database_apis',module_configuration)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
save_module_configuration(module_identityDictionary, module_configuration, print_enabled=consolelog_enabled, filelog_enabled=filelog_enabled)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
if get_module_debug_level(module_id) > 0:
apis = thisApp.application_configuration.get('database_apis', {})
for api_name in apis.keys():
api_entry = apis.get(api_name)
msg=f'module [[{module_id}]] database api [{api_name} [[[{api_entry}]]]'
log_message(msg)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#import commands
# apis = thisApp.application_configuration.get('database_apis', {})
# for api_name in apis.keys():
# api_entry = apis.get(api_name)
# msg=f'from {module_id} import {api_name}'
# log_message(msg)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
msg = f'database [ganimides] [[[[module [{module_id}] loaded]]]] with [[version {module_version}]]'
if thisApp.get_module_debug_level(module_id):
log_message(msg)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# main
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
if __name__ == '__main__':
#tests/research
print(__file__)
# caller_area={'aaaa': '11111'}
# print('0caller_area=', caller_area)
# test_api(caller_area, call_level=-1)
# print('4caller_area=', caller_area)
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
| 59.680781 | 239 | 0.673725 | 23,055 | 198,737 | 5.27044 | 0.016786 | 0.060291 | 0.082215 | 0.034565 | 0.905349 | 0.878578 | 0.859765 | 0.845116 | 0.831923 | 0.819743 | 0 | 0.000764 | 0.163915 | 198,737 | 3,329 | 240 | 59.698708 | 0.730514 | 0.15355 | 0 | 0.715116 | 0 | 0.002076 | 0.158287 | 0.01569 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020349 | false | 0 | 0.004153 | 0 | 0.100914 | 0.002076 | 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 |
792ade8ff7275bc97897d754dadc60a7c2399247 | 4,149 | py | Python | tests/execution_engine/split_and_sample/split_and_sample_test_cases.py | andyjessen/great_expectations | 74f7f2aa7b51144f34156ed49490dae4edaa5cb7 | [
"Apache-2.0"
] | null | null | null | tests/execution_engine/split_and_sample/split_and_sample_test_cases.py | andyjessen/great_expectations | 74f7f2aa7b51144f34156ed49490dae4edaa5cb7 | [
"Apache-2.0"
] | null | null | null | tests/execution_engine/split_and_sample/split_and_sample_test_cases.py | andyjessen/great_expectations | 74f7f2aa7b51144f34156ed49490dae4edaa5cb7 | [
"Apache-2.0"
] | null | null | null | import datetime
from typing import List
import pytest
import great_expectations.exceptions as ge_exceptions
from great_expectations.execution_engine.split_and_sample.data_splitter import DatePart
SINGLE_DATE_PART_BATCH_IDENTIFIERS: List[pytest.param] = [
pytest.param({"month": 10}, id="month_dict"),
pytest.param("10-31-2018", id="dateutil parseable date string"),
pytest.param(
datetime.datetime(2018, 10, 31, 0, 0, 0),
id="datetime",
),
pytest.param(
{"month": 10, "unsupported": 5},
marks=pytest.mark.xfail(strict=True, raises=ge_exceptions.InvalidConfigError),
id="month_dict, unsupported batch identifier",
),
pytest.param(
{"month": 11},
marks=pytest.mark.xfail(strict=True),
id="incorrect month_dict should fail",
),
pytest.param(
"not a real date",
marks=pytest.mark.xfail(strict=True),
id="non dateutil parseable date string",
),
pytest.param(
datetime.datetime(2018, 11, 30, 0, 0, 0),
marks=pytest.mark.xfail(strict=True),
id="incorrect datetime should fail",
),
]
SINGLE_DATE_PART_DATE_PARTS: List[pytest.param] = [
pytest.param(
[DatePart.MONTH],
id="month_with_DatePart",
),
pytest.param(
["month"],
id="month_with_string_DatePart",
),
pytest.param(
["Month"],
id="month_with_string_mixed_case_DatePart",
),
pytest.param(None, marks=pytest.mark.xfail(strict=True), id="date_parts=None"),
pytest.param([], marks=pytest.mark.xfail(strict=True), id="date_parts=[]"),
pytest.param(
["invalid"], marks=pytest.mark.xfail(strict=True), id="invalid date_parts"
),
pytest.param(
"invalid",
marks=pytest.mark.xfail(strict=True),
id="invalid date_parts (not a list)",
),
pytest.param(
"month",
marks=pytest.mark.xfail(strict=True),
id="invalid date_parts (not a list but valid str)",
),
pytest.param(
DatePart.MONTH,
marks=pytest.mark.xfail(strict=True),
id="invalid date_parts (not a list but valid DatePart)",
),
]
MULTIPLE_DATE_PART_BATCH_IDENTIFIERS: List[pytest.param] = [
pytest.param({"year": 2018, "month": 10}, id="year_and_month_dict"),
pytest.param("10-31-2018", id="dateutil parseable date string"),
pytest.param(
datetime.datetime(2018, 10, 30, 0, 0, 0),
id="datetime",
),
pytest.param(
{"year": 2018, "month": 10, "unsupported": 5},
marks=pytest.mark.xfail(strict=True, raises=ge_exceptions.InvalidConfigError),
id="year_and_month_dict, unsupported batch identifier",
),
pytest.param(
{"year": 2021, "month": 10},
marks=pytest.mark.xfail(strict=True),
id="incorrect year in year_and_month_dict should fail",
),
pytest.param(
{"year": 2018, "month": 11},
marks=pytest.mark.xfail(strict=True),
id="incorrect month in year_and_month_dict should fail",
),
pytest.param(
"not a real date",
marks=pytest.mark.xfail(strict=True),
id="non dateutil parseable date string",
),
pytest.param(
datetime.datetime(2018, 11, 30, 0, 0, 0),
marks=pytest.mark.xfail(strict=True),
id="incorrect datetime should fail",
),
]
MULTIPLE_DATE_PART_DATE_PARTS: List[pytest.param] = [
pytest.param(
[DatePart.YEAR, DatePart.MONTH],
id="year_month_with_DatePart",
),
pytest.param(
[DatePart.YEAR, "month"],
id="year_month_with_mixed_DatePart",
),
pytest.param(
["year", "month"],
id="year_month_with_string_DatePart",
),
pytest.param(
["YEAR", "Month"],
id="year_month_with_string_mixed_case_DatePart",
),
pytest.param(None, marks=pytest.mark.xfail(strict=True), id="date_parts=None"),
pytest.param([], marks=pytest.mark.xfail(strict=True), id="date_parts=[]"),
pytest.param(
["invalid", "date", "parts"],
marks=pytest.mark.xfail(strict=True),
id="invalid date_parts",
),
]
| 31.195489 | 87 | 0.620872 | 508 | 4,149 | 4.92126 | 0.13189 | 0.154 | 0.108 | 0.144 | 0.8756 | 0.8468 | 0.828 | 0.772 | 0.7288 | 0.6696 | 0 | 0.028858 | 0.231622 | 4,149 | 132 | 88 | 31.431818 | 0.755333 | 0 | 0 | 0.6 | 0 | 0 | 0.258134 | 0.045794 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.04 | 0 | 0.04 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f70eab61632b9f861e510d3c8482608efe5ebe97 | 449,278 | py | Python | rnn_cell_impl.py | narutowang/indrnn | 434e1200b5e742a0eac92bed661c69e97b8b8711 | [
"Apache-2.0"
] | null | null | null | rnn_cell_impl.py | narutowang/indrnn | 434e1200b5e742a0eac92bed661c69e97b8b8711 | [
"Apache-2.0"
] | null | null | null | rnn_cell_impl.py | narutowang/indrnn | 434e1200b5e742a0eac92bed661c69e97b8b8711 | [
"Apache-2.0"
] | null | null | null |
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<td id="LC14" class="blob-code blob-code-inner js-file-line"><span class="pl-c"><span class="pl-c">#</span> ==============================================================================</span></td>
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<td id="L15" class="blob-num js-line-number" data-line-number="15"></td>
<td id="LC15" class="blob-code blob-code-inner js-file-line"><span class="pl-s"><span class="pl-pds">"""</span>Module implementing RNN Cells.</span></td>
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<td id="L16" class="blob-num js-line-number" data-line-number="16"></td>
<td id="LC16" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L17" class="blob-num js-line-number" data-line-number="17"></td>
<td id="LC17" class="blob-code blob-code-inner js-file-line"><span class="pl-s">This module provides a number of basic commonly used RNN cells, such as LSTM</span></td>
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<td id="L18" class="blob-num js-line-number" data-line-number="18"></td>
<td id="LC18" class="blob-code blob-code-inner js-file-line"><span class="pl-s">(Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number of</span></td>
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<td id="L19" class="blob-num js-line-number" data-line-number="19"></td>
<td id="LC19" class="blob-code blob-code-inner js-file-line"><span class="pl-s">operators that allow adding dropouts, projections, or embeddings for inputs.</span></td>
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<td id="L20" class="blob-num js-line-number" data-line-number="20"></td>
<td id="LC20" class="blob-code blob-code-inner js-file-line"><span class="pl-s">Constructing multi-layer cells is supported by the class `MultiRNNCell`, or by</span></td>
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<td id="L21" class="blob-num js-line-number" data-line-number="21"></td>
<td id="LC21" class="blob-code blob-code-inner js-file-line"><span class="pl-s">calling the `rnn` ops several times.</span></td>
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<td id="L22" class="blob-num js-line-number" data-line-number="22"></td>
<td id="LC22" class="blob-code blob-code-inner js-file-line"><span class="pl-s"><span class="pl-pds">"""</span></span></td>
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<td id="L23" class="blob-num js-line-number" data-line-number="23"></td>
<td id="LC23" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> <span class="pl-c1">__future__</span> <span class="pl-k">import</span> absolute_import</td>
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<td id="L24" class="blob-num js-line-number" data-line-number="24"></td>
<td id="LC24" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> <span class="pl-c1">__future__</span> <span class="pl-k">import</span> division</td>
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<td id="L25" class="blob-num js-line-number" data-line-number="25"></td>
<td id="LC25" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> <span class="pl-c1">__future__</span> <span class="pl-k">import</span> print_function</td>
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<td id="L26" class="blob-num js-line-number" data-line-number="26"></td>
<td id="LC26" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L27" class="blob-num js-line-number" data-line-number="27"></td>
<td id="LC27" class="blob-code blob-code-inner js-file-line"><span class="pl-k">import</span> collections</td>
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<td id="L28" class="blob-num js-line-number" data-line-number="28"></td>
<td id="LC28" class="blob-code blob-code-inner js-file-line"><span class="pl-k">import</span> hashlib</td>
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<td id="L29" class="blob-num js-line-number" data-line-number="29"></td>
<td id="LC29" class="blob-code blob-code-inner js-file-line"><span class="pl-k">import</span> numbers</td>
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<td id="L30" class="blob-num js-line-number" data-line-number="30"></td>
<td id="LC30" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L31" class="blob-num js-line-number" data-line-number="31"></td>
<td id="LC31" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.eager <span class="pl-k">import</span> context</td>
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<td id="L32" class="blob-num js-line-number" data-line-number="32"></td>
<td id="LC32" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.framework <span class="pl-k">import</span> constant_op</td>
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<td id="L33" class="blob-num js-line-number" data-line-number="33"></td>
<td id="LC33" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.framework <span class="pl-k">import</span> dtypes</td>
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<td id="L34" class="blob-num js-line-number" data-line-number="34"></td>
<td id="LC34" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.framework <span class="pl-k">import</span> ops</td>
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<td id="L35" class="blob-num js-line-number" data-line-number="35"></td>
<td id="LC35" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.framework <span class="pl-k">import</span> tensor_shape</td>
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<td id="L36" class="blob-num js-line-number" data-line-number="36"></td>
<td id="LC36" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.framework <span class="pl-k">import</span> tensor_util</td>
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<td id="L37" class="blob-num js-line-number" data-line-number="37"></td>
<td id="LC37" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.layers <span class="pl-k">import</span> base <span class="pl-k">as</span> base_layer</td>
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<td id="L38" class="blob-num js-line-number" data-line-number="38"></td>
<td id="LC38" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> array_ops</td>
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<td id="L39" class="blob-num js-line-number" data-line-number="39"></td>
<td id="LC39" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> clip_ops</td>
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<td id="L40" class="blob-num js-line-number" data-line-number="40"></td>
<td id="LC40" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> init_ops</td>
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<td id="L41" class="blob-num js-line-number" data-line-number="41"></td>
<td id="LC41" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> math_ops</td>
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<td id="L42" class="blob-num js-line-number" data-line-number="42"></td>
<td id="LC42" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> nn_ops</td>
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<td id="L43" class="blob-num js-line-number" data-line-number="43"></td>
<td id="LC43" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> partitioned_variables</td>
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<td id="L44" class="blob-num js-line-number" data-line-number="44"></td>
<td id="LC44" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> random_ops</td>
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<td id="L45" class="blob-num js-line-number" data-line-number="45"></td>
<td id="LC45" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> tensor_array_ops</td>
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<td id="L46" class="blob-num js-line-number" data-line-number="46"></td>
<td id="LC46" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> variable_scope <span class="pl-k">as</span> vs</td>
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<td id="L47" class="blob-num js-line-number" data-line-number="47"></td>
<td id="LC47" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.ops <span class="pl-k">import</span> variables <span class="pl-k">as</span> tf_variables</td>
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<td id="L48" class="blob-num js-line-number" data-line-number="48"></td>
<td id="LC48" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.platform <span class="pl-k">import</span> tf_logging <span class="pl-k">as</span> logging</td>
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<td id="L49" class="blob-num js-line-number" data-line-number="49"></td>
<td id="LC49" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.util <span class="pl-k">import</span> nest</td>
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<td id="L50" class="blob-num js-line-number" data-line-number="50"></td>
<td id="LC50" class="blob-code blob-code-inner js-file-line"><span class="pl-k">from</span> tensorflow.python.util.tf_export <span class="pl-k">import</span> tf_export</td>
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<td id="L51" class="blob-num js-line-number" data-line-number="51"></td>
<td id="LC51" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L52" class="blob-num js-line-number" data-line-number="52"></td>
<td id="LC52" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L53" class="blob-num js-line-number" data-line-number="53"></td>
<td id="LC53" class="blob-code blob-code-inner js-file-line"><span class="pl-c1">_BIAS_VARIABLE_NAME</span> <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span>bias<span class="pl-pds">"</span></span></td>
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<td id="L54" class="blob-num js-line-number" data-line-number="54"></td>
<td id="LC54" class="blob-code blob-code-inner js-file-line"><span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span> <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span>kernel<span class="pl-pds">"</span></span></td>
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<td id="L55" class="blob-num js-line-number" data-line-number="55"></td>
<td id="LC55" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L56" class="blob-num js-line-number" data-line-number="56"></td>
<td id="LC56" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L57" class="blob-num js-line-number" data-line-number="57"></td>
<td id="LC57" class="blob-code blob-code-inner js-file-line"><span class="pl-k">def</span> <span class="pl-en">_like_rnncell</span>(<span class="pl-smi">cell</span>):</td>
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<td id="L58" class="blob-num js-line-number" data-line-number="58"></td>
<td id="LC58" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Checks that a given object is an RNNCell by using duck typing.<span class="pl-pds">"""</span></span></td>
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<td id="L59" class="blob-num js-line-number" data-line-number="59"></td>
<td id="LC59" class="blob-code blob-code-inner js-file-line"> conditions <span class="pl-k">=</span> [<span class="pl-c1">hasattr</span>(cell, <span class="pl-s"><span class="pl-pds">"</span>output_size<span class="pl-pds">"</span></span>), <span class="pl-c1">hasattr</span>(cell, <span class="pl-s"><span class="pl-pds">"</span>state_size<span class="pl-pds">"</span></span>),</td>
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<td id="L60" class="blob-num js-line-number" data-line-number="60"></td>
<td id="LC60" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">hasattr</span>(cell, <span class="pl-s"><span class="pl-pds">"</span>zero_state<span class="pl-pds">"</span></span>), <span class="pl-c1">callable</span>(cell)]</td>
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<td id="L61" class="blob-num js-line-number" data-line-number="61"></td>
<td id="LC61" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">all</span>(conditions)</td>
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<td id="L62" class="blob-num js-line-number" data-line-number="62"></td>
<td id="LC62" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L63" class="blob-num js-line-number" data-line-number="63"></td>
<td id="LC63" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L64" class="blob-num js-line-number" data-line-number="64"></td>
<td id="LC64" class="blob-code blob-code-inner js-file-line"><span class="pl-k">def</span> <span class="pl-en">_concat</span>(<span class="pl-smi">prefix</span>, <span class="pl-smi">suffix</span>, <span class="pl-smi">static</span><span class="pl-k">=</span><span class="pl-c1">False</span>):</td>
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<td id="L65" class="blob-num js-line-number" data-line-number="65"></td>
<td id="LC65" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Concat that enables int, Tensor, or TensorShape values.</span></td>
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<td id="L66" class="blob-num js-line-number" data-line-number="66"></td>
<td id="LC66" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L67" class="blob-num js-line-number" data-line-number="67"></td>
<td id="LC67" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> This function takes a size specification, which can be an integer, a</span></td>
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<td id="L68" class="blob-num js-line-number" data-line-number="68"></td>
<td id="LC68" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> TensorShape, or a Tensor, and converts it into a concatenated Tensor</span></td>
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<td id="L69" class="blob-num js-line-number" data-line-number="69"></td>
<td id="LC69" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> (if static = False) or a list of integers (if static = True).</span></td>
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<td id="L70" class="blob-num js-line-number" data-line-number="70"></td>
<td id="LC70" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L71" class="blob-num js-line-number" data-line-number="71"></td>
<td id="LC71" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
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<td id="L72" class="blob-num js-line-number" data-line-number="72"></td>
<td id="LC72" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> prefix: The prefix; usually the batch size (and/or time step size).</span></td>
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<td id="L73" class="blob-num js-line-number" data-line-number="73"></td>
<td id="LC73" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> (TensorShape, int, or Tensor.)</span></td>
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<td id="L74" class="blob-num js-line-number" data-line-number="74"></td>
<td id="LC74" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> suffix: TensorShape, int, or Tensor.</span></td>
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<td id="L75" class="blob-num js-line-number" data-line-number="75"></td>
<td id="LC75" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> static: If `True`, return a python list with possibly unknown dimensions.</span></td>
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<td id="L76" class="blob-num js-line-number" data-line-number="76"></td>
<td id="LC76" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Otherwise return a `Tensor`.</span></td>
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<td id="L77" class="blob-num js-line-number" data-line-number="77"></td>
<td id="LC77" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L78" class="blob-num js-line-number" data-line-number="78"></td>
<td id="LC78" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
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<td id="L79" class="blob-num js-line-number" data-line-number="79"></td>
<td id="LC79" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> shape: the concatenation of prefix and suffix.</span></td>
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<td id="L80" class="blob-num js-line-number" data-line-number="80"></td>
<td id="LC80" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L81" class="blob-num js-line-number" data-line-number="81"></td>
<td id="LC81" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
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<td id="L82" class="blob-num js-line-number" data-line-number="82"></td>
<td id="LC82" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: if `suffix` is not a scalar or vector (or TensorShape).</span></td>
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<td id="L83" class="blob-num js-line-number" data-line-number="83"></td>
<td id="LC83" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: if prefix or suffix was `None` and asked for dynamic</span></td>
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<td id="L84" class="blob-num js-line-number" data-line-number="84"></td>
<td id="LC84" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Tensors out.</span></td>
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<td id="L85" class="blob-num js-line-number" data-line-number="85"></td>
<td id="LC85" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L86" class="blob-num js-line-number" data-line-number="86"></td>
<td id="LC86" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">isinstance</span>(prefix, ops.Tensor):</td>
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<td id="L87" class="blob-num js-line-number" data-line-number="87"></td>
<td id="LC87" class="blob-code blob-code-inner js-file-line"> p <span class="pl-k">=</span> prefix</td>
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<td id="L88" class="blob-num js-line-number" data-line-number="88"></td>
<td id="LC88" class="blob-code blob-code-inner js-file-line"> p_static <span class="pl-k">=</span> tensor_util.constant_value(prefix)</td>
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<td id="L89" class="blob-num js-line-number" data-line-number="89"></td>
<td id="LC89" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> p.shape.ndims <span class="pl-k">==</span> <span class="pl-c1">0</span>:</td>
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<td id="L90" class="blob-num js-line-number" data-line-number="90"></td>
<td id="LC90" class="blob-code blob-code-inner js-file-line"> p <span class="pl-k">=</span> array_ops.expand_dims(p, <span class="pl-c1">0</span>)</td>
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<td id="L91" class="blob-num js-line-number" data-line-number="91"></td>
<td id="LC91" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">elif</span> p.shape.ndims <span class="pl-k">!=</span> <span class="pl-c1">1</span>:</td>
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<td id="L92" class="blob-num js-line-number" data-line-number="92"></td>
<td id="LC92" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>prefix tensor must be either a scalar or vector, <span class="pl-pds">"</span></span></td>
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<td id="L93" class="blob-num js-line-number" data-line-number="93"></td>
<td id="LC93" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>but saw tensor: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> p)</td>
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<td id="L94" class="blob-num js-line-number" data-line-number="94"></td>
<td id="LC94" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
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<td id="L95" class="blob-num js-line-number" data-line-number="95"></td>
<td id="LC95" class="blob-code blob-code-inner js-file-line"> p <span class="pl-k">=</span> tensor_shape.as_shape(prefix)</td>
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<td id="L96" class="blob-num js-line-number" data-line-number="96"></td>
<td id="LC96" class="blob-code blob-code-inner js-file-line"> p_static <span class="pl-k">=</span> p.as_list() <span class="pl-k">if</span> p.ndims <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span> <span class="pl-k">else</span> <span class="pl-c1">None</span></td>
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<td id="L97" class="blob-num js-line-number" data-line-number="97"></td>
<td id="LC97" class="blob-code blob-code-inner js-file-line"> p <span class="pl-k">=</span> (constant_op.constant(p.as_list(), <span class="pl-v">dtype</span><span class="pl-k">=</span>dtypes.int32)</td>
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<tr>
<td id="L98" class="blob-num js-line-number" data-line-number="98"></td>
<td id="LC98" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> p.is_fully_defined() <span class="pl-k">else</span> <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L99" class="blob-num js-line-number" data-line-number="99"></td>
<td id="LC99" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">isinstance</span>(suffix, ops.Tensor):</td>
</tr>
<tr>
<td id="L100" class="blob-num js-line-number" data-line-number="100"></td>
<td id="LC100" class="blob-code blob-code-inner js-file-line"> s <span class="pl-k">=</span> suffix</td>
</tr>
<tr>
<td id="L101" class="blob-num js-line-number" data-line-number="101"></td>
<td id="LC101" class="blob-code blob-code-inner js-file-line"> s_static <span class="pl-k">=</span> tensor_util.constant_value(suffix)</td>
</tr>
<tr>
<td id="L102" class="blob-num js-line-number" data-line-number="102"></td>
<td id="LC102" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> s.shape.ndims <span class="pl-k">==</span> <span class="pl-c1">0</span>:</td>
</tr>
<tr>
<td id="L103" class="blob-num js-line-number" data-line-number="103"></td>
<td id="LC103" class="blob-code blob-code-inner js-file-line"> s <span class="pl-k">=</span> array_ops.expand_dims(s, <span class="pl-c1">0</span>)</td>
</tr>
<tr>
<td id="L104" class="blob-num js-line-number" data-line-number="104"></td>
<td id="LC104" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">elif</span> s.shape.ndims <span class="pl-k">!=</span> <span class="pl-c1">1</span>:</td>
</tr>
<tr>
<td id="L105" class="blob-num js-line-number" data-line-number="105"></td>
<td id="LC105" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>suffix tensor must be either a scalar or vector, <span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L106" class="blob-num js-line-number" data-line-number="106"></td>
<td id="LC106" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>but saw tensor: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> s)</td>
</tr>
<tr>
<td id="L107" class="blob-num js-line-number" data-line-number="107"></td>
<td id="LC107" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L108" class="blob-num js-line-number" data-line-number="108"></td>
<td id="LC108" class="blob-code blob-code-inner js-file-line"> s <span class="pl-k">=</span> tensor_shape.as_shape(suffix)</td>
</tr>
<tr>
<td id="L109" class="blob-num js-line-number" data-line-number="109"></td>
<td id="LC109" class="blob-code blob-code-inner js-file-line"> s_static <span class="pl-k">=</span> s.as_list() <span class="pl-k">if</span> s.ndims <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span> <span class="pl-k">else</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L110" class="blob-num js-line-number" data-line-number="110"></td>
<td id="LC110" class="blob-code blob-code-inner js-file-line"> s <span class="pl-k">=</span> (constant_op.constant(s.as_list(), <span class="pl-v">dtype</span><span class="pl-k">=</span>dtypes.int32)</td>
</tr>
<tr>
<td id="L111" class="blob-num js-line-number" data-line-number="111"></td>
<td id="LC111" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> s.is_fully_defined() <span class="pl-k">else</span> <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L112" class="blob-num js-line-number" data-line-number="112"></td>
<td id="LC112" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L113" class="blob-num js-line-number" data-line-number="113"></td>
<td id="LC113" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> static:</td>
</tr>
<tr>
<td id="L114" class="blob-num js-line-number" data-line-number="114"></td>
<td id="LC114" class="blob-code blob-code-inner js-file-line"> shape <span class="pl-k">=</span> tensor_shape.as_shape(p_static).concatenate(s_static)</td>
</tr>
<tr>
<td id="L115" class="blob-num js-line-number" data-line-number="115"></td>
<td id="LC115" class="blob-code blob-code-inner js-file-line"> shape <span class="pl-k">=</span> shape.as_list() <span class="pl-k">if</span> shape.ndims <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span> <span class="pl-k">else</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L116" class="blob-num js-line-number" data-line-number="116"></td>
<td id="LC116" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L117" class="blob-num js-line-number" data-line-number="117"></td>
<td id="LC117" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> p <span class="pl-k">is</span> <span class="pl-c1">None</span> <span class="pl-k">or</span> s <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L118" class="blob-num js-line-number" data-line-number="118"></td>
<td id="LC118" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Provided a prefix or suffix of None: <span class="pl-c1">%s</span> and <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L119" class="blob-num js-line-number" data-line-number="119"></td>
<td id="LC119" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> (prefix, suffix))</td>
</tr>
<tr>
<td id="L120" class="blob-num js-line-number" data-line-number="120"></td>
<td id="LC120" class="blob-code blob-code-inner js-file-line"> shape <span class="pl-k">=</span> array_ops.concat((p, s), <span class="pl-c1">0</span>)</td>
</tr>
<tr>
<td id="L121" class="blob-num js-line-number" data-line-number="121"></td>
<td id="LC121" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> shape</td>
</tr>
<tr>
<td id="L122" class="blob-num js-line-number" data-line-number="122"></td>
<td id="LC122" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L123" class="blob-num js-line-number" data-line-number="123"></td>
<td id="LC123" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L124" class="blob-num js-line-number" data-line-number="124"></td>
<td id="LC124" class="blob-code blob-code-inner js-file-line"><span class="pl-k">def</span> <span class="pl-en">_zero_state_tensors</span>(<span class="pl-smi">state_size</span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L125" class="blob-num js-line-number" data-line-number="125"></td>
<td id="LC125" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Create tensors of zeros based on state_size, batch_size, and dtype.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L126" class="blob-num js-line-number" data-line-number="126"></td>
<td id="LC126" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">get_state_shape</span>(<span class="pl-smi">s</span>):</td>
</tr>
<tr>
<td id="L127" class="blob-num js-line-number" data-line-number="127"></td>
<td id="LC127" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Combine s with batch_size to get a proper tensor shape.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L128" class="blob-num js-line-number" data-line-number="128"></td>
<td id="LC128" class="blob-code blob-code-inner js-file-line"> c <span class="pl-k">=</span> _concat(batch_size, s)</td>
</tr>
<tr>
<td id="L129" class="blob-num js-line-number" data-line-number="129"></td>
<td id="LC129" class="blob-code blob-code-inner js-file-line"> size <span class="pl-k">=</span> array_ops.zeros(c, <span class="pl-v">dtype</span><span class="pl-k">=</span>dtype)</td>
</tr>
<tr>
<td id="L130" class="blob-num js-line-number" data-line-number="130"></td>
<td id="LC130" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> context.in_graph_mode():</td>
</tr>
<tr>
<td id="L131" class="blob-num js-line-number" data-line-number="131"></td>
<td id="LC131" class="blob-code blob-code-inner js-file-line"> c_static <span class="pl-k">=</span> _concat(batch_size, s, <span class="pl-v">static</span><span class="pl-k">=</span><span class="pl-c1">True</span>)</td>
</tr>
<tr>
<td id="L132" class="blob-num js-line-number" data-line-number="132"></td>
<td id="LC132" class="blob-code blob-code-inner js-file-line"> size.set_shape(c_static)</td>
</tr>
<tr>
<td id="L133" class="blob-num js-line-number" data-line-number="133"></td>
<td id="LC133" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> size</td>
</tr>
<tr>
<td id="L134" class="blob-num js-line-number" data-line-number="134"></td>
<td id="LC134" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> nest.map_structure(get_state_shape, state_size)</td>
</tr>
<tr>
<td id="L135" class="blob-num js-line-number" data-line-number="135"></td>
<td id="LC135" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L136" class="blob-num js-line-number" data-line-number="136"></td>
<td id="LC136" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L137" class="blob-num js-line-number" data-line-number="137"></td>
<td id="LC137" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.RNNCell<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L138" class="blob-num js-line-number" data-line-number="138"></td>
<td id="LC138" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">RNNCell</span>(<span class="pl-e">base_layer</span>.<span class="pl-e">Layer</span>):</td>
</tr>
<tr>
<td id="L139" class="blob-num js-line-number" data-line-number="139"></td>
<td id="LC139" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Abstract object representing an RNN cell.</span></td>
</tr>
<tr>
<td id="L140" class="blob-num js-line-number" data-line-number="140"></td>
<td id="LC140" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L141" class="blob-num js-line-number" data-line-number="141"></td>
<td id="LC141" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Every `RNNCell` must have the properties below and implement `call` with</span></td>
</tr>
<tr>
<td id="L142" class="blob-num js-line-number" data-line-number="142"></td>
<td id="LC142" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the signature `(output, next_state) = call(input, state)`. The optional</span></td>
</tr>
<tr>
<td id="L143" class="blob-num js-line-number" data-line-number="143"></td>
<td id="LC143" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> third input argument, `scope`, is allowed for backwards compatibility</span></td>
</tr>
<tr>
<td id="L144" class="blob-num js-line-number" data-line-number="144"></td>
<td id="LC144" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> purposes; but should be left off for new subclasses.</span></td>
</tr>
<tr>
<td id="L145" class="blob-num js-line-number" data-line-number="145"></td>
<td id="LC145" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L146" class="blob-num js-line-number" data-line-number="146"></td>
<td id="LC146" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> This definition of cell differs from the definition used in the literature.</span></td>
</tr>
<tr>
<td id="L147" class="blob-num js-line-number" data-line-number="147"></td>
<td id="LC147" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> In the literature, 'cell' refers to an object with a single scalar output.</span></td>
</tr>
<tr>
<td id="L148" class="blob-num js-line-number" data-line-number="148"></td>
<td id="LC148" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> This definition refers to a horizontal array of such units.</span></td>
</tr>
<tr>
<td id="L149" class="blob-num js-line-number" data-line-number="149"></td>
<td id="LC149" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L150" class="blob-num js-line-number" data-line-number="150"></td>
<td id="LC150" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> An RNN cell, in the most abstract setting, is anything that has</span></td>
</tr>
<tr>
<td id="L151" class="blob-num js-line-number" data-line-number="151"></td>
<td id="LC151" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> a state and performs some operation that takes a matrix of inputs.</span></td>
</tr>
<tr>
<td id="L152" class="blob-num js-line-number" data-line-number="152"></td>
<td id="LC152" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> This operation results in an output matrix with `self.output_size` columns.</span></td>
</tr>
<tr>
<td id="L153" class="blob-num js-line-number" data-line-number="153"></td>
<td id="LC153" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> If `self.state_size` is an integer, this operation also results in a new</span></td>
</tr>
<tr>
<td id="L154" class="blob-num js-line-number" data-line-number="154"></td>
<td id="LC154" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state matrix with `self.state_size` columns. If `self.state_size` is a</span></td>
</tr>
<tr>
<td id="L155" class="blob-num js-line-number" data-line-number="155"></td>
<td id="LC155" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> (possibly nested tuple of) TensorShape object(s), then it should return a</span></td>
</tr>
<tr>
<td id="L156" class="blob-num js-line-number" data-line-number="156"></td>
<td id="LC156" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> matching structure of Tensors having shape `[batch_size].concatenate(s)`</span></td>
</tr>
<tr>
<td id="L157" class="blob-num js-line-number" data-line-number="157"></td>
<td id="LC157" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> for each `s` in `self.batch_size`.</span></td>
</tr>
<tr>
<td id="L158" class="blob-num js-line-number" data-line-number="158"></td>
<td id="LC158" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L159" class="blob-num js-line-number" data-line-number="159"></td>
<td id="LC159" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L160" class="blob-num js-line-number" data-line-number="160"></td>
<td id="LC160" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L161" class="blob-num js-line-number" data-line-number="161"></td>
<td id="LC161" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run this RNN cell on inputs, starting from the given state.</span></td>
</tr>
<tr>
<td id="L162" class="blob-num js-line-number" data-line-number="162"></td>
<td id="LC162" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L163" class="blob-num js-line-number" data-line-number="163"></td>
<td id="LC163" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L164" class="blob-num js-line-number" data-line-number="164"></td>
<td id="LC164" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> inputs: `2-D` tensor with shape `[batch_size, input_size]`.</span></td>
</tr>
<tr>
<td id="L165" class="blob-num js-line-number" data-line-number="165"></td>
<td id="LC165" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state: if `self.state_size` is an integer, this should be a `2-D Tensor`</span></td>
</tr>
<tr>
<td id="L166" class="blob-num js-line-number" data-line-number="166"></td>
<td id="LC166" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> with shape `[batch_size, self.state_size]`. Otherwise, if</span></td>
</tr>
<tr>
<td id="L167" class="blob-num js-line-number" data-line-number="167"></td>
<td id="LC167" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `self.state_size` is a tuple of integers, this should be a tuple</span></td>
</tr>
<tr>
<td id="L168" class="blob-num js-line-number" data-line-number="168"></td>
<td id="LC168" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> with shapes `[batch_size, s] for s in self.state_size`.</span></td>
</tr>
<tr>
<td id="L169" class="blob-num js-line-number" data-line-number="169"></td>
<td id="LC169" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> scope: VariableScope for the created subgraph; defaults to class name.</span></td>
</tr>
<tr>
<td id="L170" class="blob-num js-line-number" data-line-number="170"></td>
<td id="LC170" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L171" class="blob-num js-line-number" data-line-number="171"></td>
<td id="LC171" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L172" class="blob-num js-line-number" data-line-number="172"></td>
<td id="LC172" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> A pair containing:</span></td>
</tr>
<tr>
<td id="L173" class="blob-num js-line-number" data-line-number="173"></td>
<td id="LC173" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L174" class="blob-num js-line-number" data-line-number="174"></td>
<td id="LC174" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - Output: A `2-D` tensor with shape `[batch_size, self.output_size]`.</span></td>
</tr>
<tr>
<td id="L175" class="blob-num js-line-number" data-line-number="175"></td>
<td id="LC175" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - New state: Either a single `2-D` tensor, or a tuple of tensors matching</span></td>
</tr>
<tr>
<td id="L176" class="blob-num js-line-number" data-line-number="176"></td>
<td id="LC176" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the arity and shapes of `state`.</span></td>
</tr>
<tr>
<td id="L177" class="blob-num js-line-number" data-line-number="177"></td>
<td id="LC177" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L178" class="blob-num js-line-number" data-line-number="178"></td>
<td id="LC178" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> scope <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L179" class="blob-num js-line-number" data-line-number="179"></td>
<td id="LC179" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> vs.variable_scope(scope,</td>
</tr>
<tr>
<td id="L180" class="blob-num js-line-number" data-line-number="180"></td>
<td id="LC180" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">custom_getter</span><span class="pl-k">=</span><span class="pl-c1">self</span>._rnn_get_variable) <span class="pl-k">as</span> scope:</td>
</tr>
<tr>
<td id="L181" class="blob-num js-line-number" data-line-number="181"></td>
<td id="LC181" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">super</span>(RNNCell, <span class="pl-c1">self</span>).<span class="pl-c1">__call__</span>(inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope)</td>
</tr>
<tr>
<td id="L182" class="blob-num js-line-number" data-line-number="182"></td>
<td id="LC182" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L183" class="blob-num js-line-number" data-line-number="183"></td>
<td id="LC183" class="blob-code blob-code-inner js-file-line"> scope_attrname <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span>rnncell_scope<span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L184" class="blob-num js-line-number" data-line-number="184"></td>
<td id="LC184" class="blob-code blob-code-inner js-file-line"> scope <span class="pl-k">=</span> <span class="pl-c1">getattr</span>(<span class="pl-c1">self</span>, scope_attrname, <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L185" class="blob-num js-line-number" data-line-number="185"></td>
<td id="LC185" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> scope <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L186" class="blob-num js-line-number" data-line-number="186"></td>
<td id="LC186" class="blob-code blob-code-inner js-file-line"> scope <span class="pl-k">=</span> vs.variable_scope(vs.get_variable_scope(),</td>
</tr>
<tr>
<td id="L187" class="blob-num js-line-number" data-line-number="187"></td>
<td id="LC187" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">custom_getter</span><span class="pl-k">=</span><span class="pl-c1">self</span>._rnn_get_variable)</td>
</tr>
<tr>
<td id="L188" class="blob-num js-line-number" data-line-number="188"></td>
<td id="LC188" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">setattr</span>(<span class="pl-c1">self</span>, scope_attrname, scope)</td>
</tr>
<tr>
<td id="L189" class="blob-num js-line-number" data-line-number="189"></td>
<td id="LC189" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> scope:</td>
</tr>
<tr>
<td id="L190" class="blob-num js-line-number" data-line-number="190"></td>
<td id="LC190" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">super</span>(RNNCell, <span class="pl-c1">self</span>).<span class="pl-c1">__call__</span>(inputs, state)</td>
</tr>
<tr>
<td id="L191" class="blob-num js-line-number" data-line-number="191"></td>
<td id="LC191" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L192" class="blob-num js-line-number" data-line-number="192"></td>
<td id="LC192" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">_rnn_get_variable</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">getter</span>, <span class="pl-k">*</span><span class="pl-smi">args</span>, <span class="pl-k">**</span><span class="pl-smi">kwargs</span>):</td>
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<tr>
<td id="L193" class="blob-num js-line-number" data-line-number="193"></td>
<td id="LC193" class="blob-code blob-code-inner js-file-line"> variable <span class="pl-k">=</span> getter(<span class="pl-k">*</span>args, <span class="pl-k">**</span>kwargs)</td>
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<tr>
<td id="L194" class="blob-num js-line-number" data-line-number="194"></td>
<td id="LC194" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> context.in_graph_mode():</td>
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<tr>
<td id="L195" class="blob-num js-line-number" data-line-number="195"></td>
<td id="LC195" class="blob-code blob-code-inner js-file-line"> trainable <span class="pl-k">=</span> (variable <span class="pl-k">in</span> tf_variables.trainable_variables() <span class="pl-k">or</span></td>
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<tr>
<td id="L196" class="blob-num js-line-number" data-line-number="196"></td>
<td id="LC196" class="blob-code blob-code-inner js-file-line"> (<span class="pl-c1">isinstance</span>(variable, tf_variables.PartitionedVariable) <span class="pl-k">and</span></td>
</tr>
<tr>
<td id="L197" class="blob-num js-line-number" data-line-number="197"></td>
<td id="LC197" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">list</span>(variable)[<span class="pl-c1">0</span>] <span class="pl-k">in</span> tf_variables.trainable_variables()))</td>
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<tr>
<td id="L198" class="blob-num js-line-number" data-line-number="198"></td>
<td id="LC198" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L199" class="blob-num js-line-number" data-line-number="199"></td>
<td id="LC199" class="blob-code blob-code-inner js-file-line"> trainable <span class="pl-k">=</span> variable._trainable <span class="pl-c"><span class="pl-c">#</span> pylint: disable=protected-access</span></td>
</tr>
<tr>
<td id="L200" class="blob-num js-line-number" data-line-number="200"></td>
<td id="LC200" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> trainable <span class="pl-k">and</span> variable <span class="pl-k">not</span> <span class="pl-k">in</span> <span class="pl-c1">self</span>._trainable_weights:</td>
</tr>
<tr>
<td id="L201" class="blob-num js-line-number" data-line-number="201"></td>
<td id="LC201" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._trainable_weights.append(variable)</td>
</tr>
<tr>
<td id="L202" class="blob-num js-line-number" data-line-number="202"></td>
<td id="LC202" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">elif</span> <span class="pl-k">not</span> trainable <span class="pl-k">and</span> variable <span class="pl-k">not</span> <span class="pl-k">in</span> <span class="pl-c1">self</span>._non_trainable_weights:</td>
</tr>
<tr>
<td id="L203" class="blob-num js-line-number" data-line-number="203"></td>
<td id="LC203" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._non_trainable_weights.append(variable)</td>
</tr>
<tr>
<td id="L204" class="blob-num js-line-number" data-line-number="204"></td>
<td id="LC204" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> variable</td>
</tr>
<tr>
<td id="L205" class="blob-num js-line-number" data-line-number="205"></td>
<td id="LC205" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L206" class="blob-num js-line-number" data-line-number="206"></td>
<td id="LC206" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L207" class="blob-num js-line-number" data-line-number="207"></td>
<td id="LC207" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<tr>
<td id="L208" class="blob-num js-line-number" data-line-number="208"></td>
<td id="LC208" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>size(s) of state(s) used by this cell.</span></td>
</tr>
<tr>
<td id="L209" class="blob-num js-line-number" data-line-number="209"></td>
<td id="LC209" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L210" class="blob-num js-line-number" data-line-number="210"></td>
<td id="LC210" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> It can be represented by an Integer, a TensorShape or a tuple of Integers</span></td>
</tr>
<tr>
<td id="L211" class="blob-num js-line-number" data-line-number="211"></td>
<td id="LC211" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> or TensorShapes.</span></td>
</tr>
<tr>
<td id="L212" class="blob-num js-line-number" data-line-number="212"></td>
<td id="LC212" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L213" class="blob-num js-line-number" data-line-number="213"></td>
<td id="LC213" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">NotImplementedError</span>(<span class="pl-s"><span class="pl-pds">"</span>Abstract method<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L214" class="blob-num js-line-number" data-line-number="214"></td>
<td id="LC214" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L215" class="blob-num js-line-number" data-line-number="215"></td>
<td id="LC215" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L216" class="blob-num js-line-number" data-line-number="216"></td>
<td id="LC216" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L217" class="blob-num js-line-number" data-line-number="217"></td>
<td id="LC217" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Integer or TensorShape: size of outputs produced by this cell.<span class="pl-pds">"""</span></span></td>
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<tr>
<td id="L218" class="blob-num js-line-number" data-line-number="218"></td>
<td id="LC218" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">NotImplementedError</span>(<span class="pl-s"><span class="pl-pds">"</span>Abstract method<span class="pl-pds">"</span></span>)</td>
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<tr>
<td id="L219" class="blob-num js-line-number" data-line-number="219"></td>
<td id="LC219" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L220" class="blob-num js-line-number" data-line-number="220"></td>
<td id="LC220" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">build</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">_</span>):</td>
</tr>
<tr>
<td id="L221" class="blob-num js-line-number" data-line-number="221"></td>
<td id="LC221" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> This tells the parent Layer object that it's OK to call</span></td>
</tr>
<tr>
<td id="L222" class="blob-num js-line-number" data-line-number="222"></td>
<td id="LC222" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> self.add_variable() inside the call() method.</span></td>
</tr>
<tr>
<td id="L223" class="blob-num js-line-number" data-line-number="223"></td>
<td id="LC223" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">pass</span></td>
</tr>
<tr>
<td id="L224" class="blob-num js-line-number" data-line-number="224"></td>
<td id="LC224" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L225" class="blob-num js-line-number" data-line-number="225"></td>
<td id="LC225" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">zero_state</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L226" class="blob-num js-line-number" data-line-number="226"></td>
<td id="LC226" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Return zero-filled state tensor(s).</span></td>
</tr>
<tr>
<td id="L227" class="blob-num js-line-number" data-line-number="227"></td>
<td id="LC227" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L228" class="blob-num js-line-number" data-line-number="228"></td>
<td id="LC228" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L229" class="blob-num js-line-number" data-line-number="229"></td>
<td id="LC229" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> batch_size: int, float, or unit Tensor representing the batch size.</span></td>
</tr>
<tr>
<td id="L230" class="blob-num js-line-number" data-line-number="230"></td>
<td id="LC230" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> dtype: the data type to use for the state.</span></td>
</tr>
<tr>
<td id="L231" class="blob-num js-line-number" data-line-number="231"></td>
<td id="LC231" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L232" class="blob-num js-line-number" data-line-number="232"></td>
<td id="LC232" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L233" class="blob-num js-line-number" data-line-number="233"></td>
<td id="LC233" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> If `state_size` is an int or TensorShape, then the return value is a</span></td>
</tr>
<tr>
<td id="L234" class="blob-num js-line-number" data-line-number="234"></td>
<td id="LC234" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `N-D` tensor of shape `[batch_size, state_size]` filled with zeros.</span></td>
</tr>
<tr>
<td id="L235" class="blob-num js-line-number" data-line-number="235"></td>
<td id="LC235" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L236" class="blob-num js-line-number" data-line-number="236"></td>
<td id="LC236" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> If `state_size` is a nested list or tuple, then the return value is</span></td>
</tr>
<tr>
<td id="L237" class="blob-num js-line-number" data-line-number="237"></td>
<td id="LC237" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> a nested list or tuple (of the same structure) of `2-D` tensors with</span></td>
</tr>
<tr>
<td id="L238" class="blob-num js-line-number" data-line-number="238"></td>
<td id="LC238" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the shapes `[batch_size, s]` for each s in `state_size`.</span></td>
</tr>
<tr>
<td id="L239" class="blob-num js-line-number" data-line-number="239"></td>
<td id="LC239" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L240" class="blob-num js-line-number" data-line-number="240"></td>
<td id="LC240" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Try to use the last cached zero_state. This is done to avoid recreating</span></td>
</tr>
<tr>
<td id="L241" class="blob-num js-line-number" data-line-number="241"></td>
<td id="LC241" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> zeros, especially when eager execution is enabled.</span></td>
</tr>
<tr>
<td id="L242" class="blob-num js-line-number" data-line-number="242"></td>
<td id="LC242" class="blob-code blob-code-inner js-file-line"> state_size <span class="pl-k">=</span> <span class="pl-c1">self</span>.state_size</td>
</tr>
<tr>
<td id="L243" class="blob-num js-line-number" data-line-number="243"></td>
<td id="LC243" class="blob-code blob-code-inner js-file-line"> is_eager <span class="pl-k">=</span> context.in_eager_mode()</td>
</tr>
<tr>
<td id="L244" class="blob-num js-line-number" data-line-number="244"></td>
<td id="LC244" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> is_eager <span class="pl-k">and</span> <span class="pl-c1">hasattr</span>(<span class="pl-c1">self</span>, <span class="pl-s"><span class="pl-pds">"</span>_last_zero_state<span class="pl-pds">"</span></span>):</td>
</tr>
<tr>
<td id="L245" class="blob-num js-line-number" data-line-number="245"></td>
<td id="LC245" class="blob-code blob-code-inner js-file-line"> (last_state_size, last_batch_size, last_dtype,</td>
</tr>
<tr>
<td id="L246" class="blob-num js-line-number" data-line-number="246"></td>
<td id="LC246" class="blob-code blob-code-inner js-file-line"> last_output) <span class="pl-k">=</span> <span class="pl-c1">getattr</span>(<span class="pl-c1">self</span>, <span class="pl-s"><span class="pl-pds">"</span>_last_zero_state<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L247" class="blob-num js-line-number" data-line-number="247"></td>
<td id="LC247" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> (last_batch_size <span class="pl-k">==</span> batch_size <span class="pl-k">and</span></td>
</tr>
<tr>
<td id="L248" class="blob-num js-line-number" data-line-number="248"></td>
<td id="LC248" class="blob-code blob-code-inner js-file-line"> last_dtype <span class="pl-k">==</span> dtype <span class="pl-k">and</span></td>
</tr>
<tr>
<td id="L249" class="blob-num js-line-number" data-line-number="249"></td>
<td id="LC249" class="blob-code blob-code-inner js-file-line"> last_state_size <span class="pl-k">==</span> state_size):</td>
</tr>
<tr>
<td id="L250" class="blob-num js-line-number" data-line-number="250"></td>
<td id="LC250" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> last_output</td>
</tr>
<tr>
<td id="L251" class="blob-num js-line-number" data-line-number="251"></td>
<td id="LC251" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-c1">type</span>(<span class="pl-c1">self</span>).<span class="pl-c1">__name__</span> <span class="pl-k">+</span> <span class="pl-s"><span class="pl-pds">"</span>ZeroState<span class="pl-pds">"</span></span>, <span class="pl-v">values</span><span class="pl-k">=</span>[batch_size]):</td>
</tr>
<tr>
<td id="L252" class="blob-num js-line-number" data-line-number="252"></td>
<td id="LC252" class="blob-code blob-code-inner js-file-line"> output <span class="pl-k">=</span> _zero_state_tensors(state_size, batch_size, dtype)</td>
</tr>
<tr>
<td id="L253" class="blob-num js-line-number" data-line-number="253"></td>
<td id="LC253" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> is_eager:</td>
</tr>
<tr>
<td id="L254" class="blob-num js-line-number" data-line-number="254"></td>
<td id="LC254" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._last_zero_state <span class="pl-k">=</span> (state_size, batch_size, dtype, output)</td>
</tr>
<tr>
<td id="L255" class="blob-num js-line-number" data-line-number="255"></td>
<td id="LC255" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> output</td>
</tr>
<tr>
<td id="L256" class="blob-num js-line-number" data-line-number="256"></td>
<td id="LC256" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L257" class="blob-num js-line-number" data-line-number="257"></td>
<td id="LC257" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L258" class="blob-num js-line-number" data-line-number="258"></td>
<td id="LC258" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">_LayerRNNCell</span>(<span class="pl-e">RNNCell</span>):</td>
</tr>
<tr>
<td id="L259" class="blob-num js-line-number" data-line-number="259"></td>
<td id="LC259" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Subclass of RNNCells that act like proper `tf.Layer` objects.</span></td>
</tr>
<tr>
<td id="L260" class="blob-num js-line-number" data-line-number="260"></td>
<td id="LC260" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L261" class="blob-num js-line-number" data-line-number="261"></td>
<td id="LC261" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> For backwards compatibility purposes, most `RNNCell` instances allow their</span></td>
</tr>
<tr>
<td id="L262" class="blob-num js-line-number" data-line-number="262"></td>
<td id="LC262" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `call` methods to instantiate variables via `tf.get_variable`. The underlying</span></td>
</tr>
<tr>
<td id="L263" class="blob-num js-line-number" data-line-number="263"></td>
<td id="LC263" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> variable scope thus keeps track of any variables, and returning cached</span></td>
</tr>
<tr>
<td id="L264" class="blob-num js-line-number" data-line-number="264"></td>
<td id="LC264" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> versions. This is atypical of `tf.layer` objects, which separate this</span></td>
</tr>
<tr>
<td id="L265" class="blob-num js-line-number" data-line-number="265"></td>
<td id="LC265" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> part of layer building into a `build` method that is only called once.</span></td>
</tr>
<tr>
<td id="L266" class="blob-num js-line-number" data-line-number="266"></td>
<td id="LC266" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L267" class="blob-num js-line-number" data-line-number="267"></td>
<td id="LC267" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Here we provide a subclass for `RNNCell` objects that act exactly as</span></td>
</tr>
<tr>
<td id="L268" class="blob-num js-line-number" data-line-number="268"></td>
<td id="LC268" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `Layer` objects do. They must provide a `build` method and their</span></td>
</tr>
<tr>
<td id="L269" class="blob-num js-line-number" data-line-number="269"></td>
<td id="LC269" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `call` methods do not access Variables `tf.get_variable`.</span></td>
</tr>
<tr>
<td id="L270" class="blob-num js-line-number" data-line-number="270"></td>
<td id="LC270" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L271" class="blob-num js-line-number" data-line-number="271"></td>
<td id="LC271" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L272" class="blob-num js-line-number" data-line-number="272"></td>
<td id="LC272" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-k">*</span><span class="pl-smi">args</span>, <span class="pl-k">**</span><span class="pl-smi">kwargs</span>):</td>
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<td id="L273" class="blob-num js-line-number" data-line-number="273"></td>
<td id="LC273" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run this RNN cell on inputs, starting from the given state.</span></td>
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<td id="L274" class="blob-num js-line-number" data-line-number="274"></td>
<td id="LC274" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L275" class="blob-num js-line-number" data-line-number="275"></td>
<td id="LC275" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L276" class="blob-num js-line-number" data-line-number="276"></td>
<td id="LC276" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> inputs: `2-D` tensor with shape `[batch_size, input_size]`.</span></td>
</tr>
<tr>
<td id="L277" class="blob-num js-line-number" data-line-number="277"></td>
<td id="LC277" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state: if `self.state_size` is an integer, this should be a `2-D Tensor`</span></td>
</tr>
<tr>
<td id="L278" class="blob-num js-line-number" data-line-number="278"></td>
<td id="LC278" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> with shape `[batch_size, self.state_size]`. Otherwise, if</span></td>
</tr>
<tr>
<td id="L279" class="blob-num js-line-number" data-line-number="279"></td>
<td id="LC279" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `self.state_size` is a tuple of integers, this should be a tuple</span></td>
</tr>
<tr>
<td id="L280" class="blob-num js-line-number" data-line-number="280"></td>
<td id="LC280" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> with shapes `[batch_size, s] for s in self.state_size`.</span></td>
</tr>
<tr>
<td id="L281" class="blob-num js-line-number" data-line-number="281"></td>
<td id="LC281" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> scope: optional cell scope.</span></td>
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<td id="L282" class="blob-num js-line-number" data-line-number="282"></td>
<td id="LC282" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> *args: Additional positional arguments.</span></td>
</tr>
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<td id="L283" class="blob-num js-line-number" data-line-number="283"></td>
<td id="LC283" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> **kwargs: Additional keyword arguments.</span></td>
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<tr>
<td id="L284" class="blob-num js-line-number" data-line-number="284"></td>
<td id="LC284" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L285" class="blob-num js-line-number" data-line-number="285"></td>
<td id="LC285" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L286" class="blob-num js-line-number" data-line-number="286"></td>
<td id="LC286" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> A pair containing:</span></td>
</tr>
<tr>
<td id="L287" class="blob-num js-line-number" data-line-number="287"></td>
<td id="LC287" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L288" class="blob-num js-line-number" data-line-number="288"></td>
<td id="LC288" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - Output: A `2-D` tensor with shape `[batch_size, self.output_size]`.</span></td>
</tr>
<tr>
<td id="L289" class="blob-num js-line-number" data-line-number="289"></td>
<td id="LC289" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - New state: Either a single `2-D` tensor, or a tuple of tensors matching</span></td>
</tr>
<tr>
<td id="L290" class="blob-num js-line-number" data-line-number="290"></td>
<td id="LC290" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the arity and shapes of `state`.</span></td>
</tr>
<tr>
<td id="L291" class="blob-num js-line-number" data-line-number="291"></td>
<td id="LC291" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L292" class="blob-num js-line-number" data-line-number="292"></td>
<td id="LC292" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Bypass RNNCell's variable capturing semantics for LayerRNNCell.</span></td>
</tr>
<tr>
<td id="L293" class="blob-num js-line-number" data-line-number="293"></td>
<td id="LC293" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Instead, it is up to subclasses to provide a proper build</span></td>
</tr>
<tr>
<td id="L294" class="blob-num js-line-number" data-line-number="294"></td>
<td id="LC294" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> method. See the class docstring for more details.</span></td>
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<tr>
<td id="L295" class="blob-num js-line-number" data-line-number="295"></td>
<td id="LC295" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> base_layer.Layer.<span class="pl-c1">__call__</span>(<span class="pl-c1">self</span>, inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope,</td>
</tr>
<tr>
<td id="L296" class="blob-num js-line-number" data-line-number="296"></td>
<td id="LC296" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">*</span>args, <span class="pl-k">**</span>kwargs)</td>
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<tr>
<td id="L297" class="blob-num js-line-number" data-line-number="297"></td>
<td id="LC297" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L298" class="blob-num js-line-number" data-line-number="298"></td>
<td id="LC298" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L299" class="blob-num js-line-number" data-line-number="299"></td>
<td id="LC299" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.BasicRNNCell<span class="pl-pds">"</span></span>)</td>
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<tr>
<td id="L300" class="blob-num js-line-number" data-line-number="300"></td>
<td id="LC300" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">BasicRNNCell</span>(<span class="pl-e">_LayerRNNCell</span>):</td>
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<tr>
<td id="L301" class="blob-num js-line-number" data-line-number="301"></td>
<td id="LC301" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>The most basic RNN cell.</span></td>
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<tr>
<td id="L302" class="blob-num js-line-number" data-line-number="302"></td>
<td id="LC302" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L303" class="blob-num js-line-number" data-line-number="303"></td>
<td id="LC303" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L304" class="blob-num js-line-number" data-line-number="304"></td>
<td id="LC304" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_units: int, The number of units in the RNN cell.</span></td>
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<tr>
<td id="L305" class="blob-num js-line-number" data-line-number="305"></td>
<td id="LC305" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> activation: Nonlinearity to use. Default: `tanh`.</span></td>
</tr>
<tr>
<td id="L306" class="blob-num js-line-number" data-line-number="306"></td>
<td id="LC306" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> reuse: (optional) Python boolean describing whether to reuse variables</span></td>
</tr>
<tr>
<td id="L307" class="blob-num js-line-number" data-line-number="307"></td>
<td id="LC307" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> in an existing scope. If not `True`, and the existing scope already has</span></td>
</tr>
<tr>
<td id="L308" class="blob-num js-line-number" data-line-number="308"></td>
<td id="LC308" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the given variables, an error is raised.</span></td>
</tr>
<tr>
<td id="L309" class="blob-num js-line-number" data-line-number="309"></td>
<td id="LC309" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> name: String, the name of the layer. Layers with the same name will</span></td>
</tr>
<tr>
<td id="L310" class="blob-num js-line-number" data-line-number="310"></td>
<td id="LC310" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> share weights, but to avoid mistakes we require reuse=True in such</span></td>
</tr>
<tr>
<td id="L311" class="blob-num js-line-number" data-line-number="311"></td>
<td id="LC311" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cases.</span></td>
</tr>
<tr>
<td id="L312" class="blob-num js-line-number" data-line-number="312"></td>
<td id="LC312" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L313" class="blob-num js-line-number" data-line-number="313"></td>
<td id="LC313" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L314" class="blob-num js-line-number" data-line-number="314"></td>
<td id="LC314" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">num_units</span>, <span class="pl-smi">activation</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">reuse</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">name</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
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<tr>
<td id="L315" class="blob-num js-line-number" data-line-number="315"></td>
<td id="LC315" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">super</span>(BasicRNNCell, <span class="pl-c1">self</span>).<span class="pl-c1">__init__</span>(<span class="pl-v">_reuse</span><span class="pl-k">=</span>reuse, <span class="pl-v">name</span><span class="pl-k">=</span>name)</td>
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<tr>
<td id="L316" class="blob-num js-line-number" data-line-number="316"></td>
<td id="LC316" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L317" class="blob-num js-line-number" data-line-number="317"></td>
<td id="LC317" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Inputs must be 2-dimensional.</span></td>
</tr>
<tr>
<td id="L318" class="blob-num js-line-number" data-line-number="318"></td>
<td id="LC318" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.input_spec <span class="pl-k">=</span> base_layer.InputSpec(<span class="pl-v">ndim</span><span class="pl-k">=</span><span class="pl-c1">2</span>)</td>
</tr>
<tr>
<td id="L319" class="blob-num js-line-number" data-line-number="319"></td>
<td id="LC319" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L320" class="blob-num js-line-number" data-line-number="320"></td>
<td id="LC320" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_units <span class="pl-k">=</span> num_units</td>
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<tr>
<td id="L321" class="blob-num js-line-number" data-line-number="321"></td>
<td id="LC321" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._activation <span class="pl-k">=</span> activation <span class="pl-k">or</span> math_ops.tanh</td>
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<tr>
<td id="L322" class="blob-num js-line-number" data-line-number="322"></td>
<td id="LC322" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L323" class="blob-num js-line-number" data-line-number="323"></td>
<td id="LC323" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L324" class="blob-num js-line-number" data-line-number="324"></td>
<td id="LC324" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<tr>
<td id="L325" class="blob-num js-line-number" data-line-number="325"></td>
<td id="LC325" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._num_units</td>
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<tr>
<td id="L326" class="blob-num js-line-number" data-line-number="326"></td>
<td id="LC326" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L327" class="blob-num js-line-number" data-line-number="327"></td>
<td id="LC327" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L328" class="blob-num js-line-number" data-line-number="328"></td>
<td id="LC328" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L329" class="blob-num js-line-number" data-line-number="329"></td>
<td id="LC329" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._num_units</td>
</tr>
<tr>
<td id="L330" class="blob-num js-line-number" data-line-number="330"></td>
<td id="LC330" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L331" class="blob-num js-line-number" data-line-number="331"></td>
<td id="LC331" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">build</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs_shape</span>):</td>
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<tr>
<td id="L332" class="blob-num js-line-number" data-line-number="332"></td>
<td id="LC332" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> inputs_shape[<span class="pl-c1">1</span>].value <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
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<tr>
<td id="L333" class="blob-num js-line-number" data-line-number="333"></td>
<td id="LC333" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Expected inputs.shape[-1] to be known, saw shape: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L334" class="blob-num js-line-number" data-line-number="334"></td>
<td id="LC334" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> inputs_shape)</td>
</tr>
<tr>
<td id="L335" class="blob-num js-line-number" data-line-number="335"></td>
<td id="LC335" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L336" class="blob-num js-line-number" data-line-number="336"></td>
<td id="LC336" class="blob-code blob-code-inner js-file-line"> input_depth <span class="pl-k">=</span> inputs_shape[<span class="pl-c1">1</span>].value</td>
</tr>
<tr>
<td id="L337" class="blob-num js-line-number" data-line-number="337"></td>
<td id="LC337" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L338" class="blob-num js-line-number" data-line-number="338"></td>
<td id="LC338" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L339" class="blob-num js-line-number" data-line-number="339"></td>
<td id="LC339" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[input_depth <span class="pl-k">+</span> <span class="pl-c1">self</span>._num_units, <span class="pl-c1">self</span>._num_units])</td>
</tr>
<tr>
<td id="L340" class="blob-num js-line-number" data-line-number="340"></td>
<td id="LC340" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L341" class="blob-num js-line-number" data-line-number="341"></td>
<td id="LC341" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_BIAS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L342" class="blob-num js-line-number" data-line-number="342"></td>
<td id="LC342" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L343" class="blob-num js-line-number" data-line-number="343"></td>
<td id="LC343" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span>init_ops.zeros_initializer(<span class="pl-v">dtype</span><span class="pl-k">=</span><span class="pl-c1">self</span>.dtype))</td>
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<td id="L344" class="blob-num js-line-number" data-line-number="344"></td>
<td id="LC344" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L345" class="blob-num js-line-number" data-line-number="345"></td>
<td id="LC345" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.built <span class="pl-k">=</span> <span class="pl-c1">True</span></td>
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<td id="L346" class="blob-num js-line-number" data-line-number="346"></td>
<td id="LC346" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L347" class="blob-num js-line-number" data-line-number="347"></td>
<td id="LC347" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">call</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>):</td>
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<td id="L348" class="blob-num js-line-number" data-line-number="348"></td>
<td id="LC348" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Most basic RNN: output = new_state = act(W * input + U * state + B).<span class="pl-pds">"""</span></span></td>
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<td id="L349" class="blob-num js-line-number" data-line-number="349"></td>
<td id="LC349" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L350" class="blob-num js-line-number" data-line-number="350"></td>
<td id="LC350" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> math_ops.matmul(</td>
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<td id="L351" class="blob-num js-line-number" data-line-number="351"></td>
<td id="LC351" class="blob-code blob-code-inner js-file-line"> array_ops.concat([inputs, state], <span class="pl-c1">1</span>), <span class="pl-c1">self</span>._kernel)</td>
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<td id="L352" class="blob-num js-line-number" data-line-number="352"></td>
<td id="LC352" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> nn_ops.bias_add(gate_inputs, <span class="pl-c1">self</span>._bias)</td>
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<td id="L353" class="blob-num js-line-number" data-line-number="353"></td>
<td id="LC353" class="blob-code blob-code-inner js-file-line"> output <span class="pl-k">=</span> <span class="pl-c1">self</span>._activation(gate_inputs)</td>
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<td id="L354" class="blob-num js-line-number" data-line-number="354"></td>
<td id="LC354" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> output, output</td>
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<td id="L355" class="blob-num js-line-number" data-line-number="355"></td>
<td id="LC355" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L356" class="blob-num js-line-number" data-line-number="356"></td>
<td id="LC356" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L357" class="blob-num js-line-number" data-line-number="357"></td>
<td id="LC357" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.GRUCell<span class="pl-pds">"</span></span>)</td>
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<td id="L358" class="blob-num js-line-number" data-line-number="358"></td>
<td id="LC358" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">GRUCell</span>(<span class="pl-e">_LayerRNNCell</span>):</td>
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<td id="L359" class="blob-num js-line-number" data-line-number="359"></td>
<td id="LC359" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Gated Recurrent Unit cell (cf. http://arxiv.org/abs/1406.1078).</span></td>
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<td id="L360" class="blob-num js-line-number" data-line-number="360"></td>
<td id="LC360" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L361" class="blob-num js-line-number" data-line-number="361"></td>
<td id="LC361" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
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<td id="L362" class="blob-num js-line-number" data-line-number="362"></td>
<td id="LC362" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_units: int, The number of units in the GRU cell.</span></td>
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<td id="L363" class="blob-num js-line-number" data-line-number="363"></td>
<td id="LC363" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> activation: Nonlinearity to use. Default: `tanh`.</span></td>
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<td id="L364" class="blob-num js-line-number" data-line-number="364"></td>
<td id="LC364" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> reuse: (optional) Python boolean describing whether to reuse variables</span></td>
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<td id="L365" class="blob-num js-line-number" data-line-number="365"></td>
<td id="LC365" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> in an existing scope. If not `True`, and the existing scope already has</span></td>
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<td id="L366" class="blob-num js-line-number" data-line-number="366"></td>
<td id="LC366" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the given variables, an error is raised.</span></td>
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<tr>
<td id="L367" class="blob-num js-line-number" data-line-number="367"></td>
<td id="LC367" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> kernel_initializer: (optional) The initializer to use for the weight and</span></td>
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<td id="L368" class="blob-num js-line-number" data-line-number="368"></td>
<td id="LC368" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> projection matrices.</span></td>
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<td id="L369" class="blob-num js-line-number" data-line-number="369"></td>
<td id="LC369" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> bias_initializer: (optional) The initializer to use for the bias.</span></td>
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<td id="L370" class="blob-num js-line-number" data-line-number="370"></td>
<td id="LC370" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> name: String, the name of the layer. Layers with the same name will</span></td>
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<td id="L371" class="blob-num js-line-number" data-line-number="371"></td>
<td id="LC371" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> share weights, but to avoid mistakes we require reuse=True in such</span></td>
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<td id="L372" class="blob-num js-line-number" data-line-number="372"></td>
<td id="LC372" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cases.</span></td>
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<td id="L373" class="blob-num js-line-number" data-line-number="373"></td>
<td id="LC373" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L374" class="blob-num js-line-number" data-line-number="374"></td>
<td id="LC374" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L375" class="blob-num js-line-number" data-line-number="375"></td>
<td id="LC375" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>,</td>
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<td id="L376" class="blob-num js-line-number" data-line-number="376"></td>
<td id="LC376" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">num_units</span>,</td>
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<td id="L377" class="blob-num js-line-number" data-line-number="377"></td>
<td id="LC377" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">activation</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L378" class="blob-num js-line-number" data-line-number="378"></td>
<td id="LC378" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">reuse</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L379" class="blob-num js-line-number" data-line-number="379"></td>
<td id="LC379" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">kernel_initializer</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L380" class="blob-num js-line-number" data-line-number="380"></td>
<td id="LC380" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">bias_initializer</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L381" class="blob-num js-line-number" data-line-number="381"></td>
<td id="LC381" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">name</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
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<td id="L382" class="blob-num js-line-number" data-line-number="382"></td>
<td id="LC382" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">super</span>(GRUCell, <span class="pl-c1">self</span>).<span class="pl-c1">__init__</span>(<span class="pl-v">_reuse</span><span class="pl-k">=</span>reuse, <span class="pl-v">name</span><span class="pl-k">=</span>name)</td>
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<td id="L383" class="blob-num js-line-number" data-line-number="383"></td>
<td id="LC383" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L384" class="blob-num js-line-number" data-line-number="384"></td>
<td id="LC384" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Inputs must be 2-dimensional.</span></td>
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<td id="L385" class="blob-num js-line-number" data-line-number="385"></td>
<td id="LC385" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.input_spec <span class="pl-k">=</span> base_layer.InputSpec(<span class="pl-v">ndim</span><span class="pl-k">=</span><span class="pl-c1">2</span>)</td>
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<td id="L386" class="blob-num js-line-number" data-line-number="386"></td>
<td id="LC386" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L387" class="blob-num js-line-number" data-line-number="387"></td>
<td id="LC387" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_units <span class="pl-k">=</span> num_units</td>
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<td id="L388" class="blob-num js-line-number" data-line-number="388"></td>
<td id="LC388" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._activation <span class="pl-k">=</span> activation <span class="pl-k">or</span> math_ops.tanh</td>
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<td id="L389" class="blob-num js-line-number" data-line-number="389"></td>
<td id="LC389" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._kernel_initializer <span class="pl-k">=</span> kernel_initializer</td>
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<td id="L390" class="blob-num js-line-number" data-line-number="390"></td>
<td id="LC390" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias_initializer <span class="pl-k">=</span> bias_initializer</td>
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<td id="L391" class="blob-num js-line-number" data-line-number="391"></td>
<td id="LC391" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L392" class="blob-num js-line-number" data-line-number="392"></td>
<td id="LC392" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
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<tr>
<td id="L393" class="blob-num js-line-number" data-line-number="393"></td>
<td id="LC393" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<tr>
<td id="L394" class="blob-num js-line-number" data-line-number="394"></td>
<td id="LC394" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._num_units</td>
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<td id="L395" class="blob-num js-line-number" data-line-number="395"></td>
<td id="LC395" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L396" class="blob-num js-line-number" data-line-number="396"></td>
<td id="LC396" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
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<tr>
<td id="L397" class="blob-num js-line-number" data-line-number="397"></td>
<td id="LC397" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<tr>
<td id="L398" class="blob-num js-line-number" data-line-number="398"></td>
<td id="LC398" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._num_units</td>
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<tr>
<td id="L399" class="blob-num js-line-number" data-line-number="399"></td>
<td id="LC399" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L400" class="blob-num js-line-number" data-line-number="400"></td>
<td id="LC400" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">build</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs_shape</span>):</td>
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<td id="L401" class="blob-num js-line-number" data-line-number="401"></td>
<td id="LC401" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> inputs_shape[<span class="pl-c1">1</span>].value <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
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<td id="L402" class="blob-num js-line-number" data-line-number="402"></td>
<td id="LC402" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Expected inputs.shape[-1] to be known, saw shape: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
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<td id="L403" class="blob-num js-line-number" data-line-number="403"></td>
<td id="LC403" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> inputs_shape)</td>
</tr>
<tr>
<td id="L404" class="blob-num js-line-number" data-line-number="404"></td>
<td id="LC404" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L405" class="blob-num js-line-number" data-line-number="405"></td>
<td id="LC405" class="blob-code blob-code-inner js-file-line"> input_depth <span class="pl-k">=</span> inputs_shape[<span class="pl-c1">1</span>].value</td>
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<td id="L406" class="blob-num js-line-number" data-line-number="406"></td>
<td id="LC406" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._gate_kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
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<tr>
<td id="L407" class="blob-num js-line-number" data-line-number="407"></td>
<td id="LC407" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>gates/<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
</tr>
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<td id="L408" class="blob-num js-line-number" data-line-number="408"></td>
<td id="LC408" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[input_depth <span class="pl-k">+</span> <span class="pl-c1">self</span>._num_units, <span class="pl-c1">2</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units],</td>
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<tr>
<td id="L409" class="blob-num js-line-number" data-line-number="409"></td>
<td id="LC409" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._kernel_initializer)</td>
</tr>
<tr>
<td id="L410" class="blob-num js-line-number" data-line-number="410"></td>
<td id="LC410" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._gate_bias <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L411" class="blob-num js-line-number" data-line-number="411"></td>
<td id="LC411" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>gates/<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> <span class="pl-c1">_BIAS_VARIABLE_NAME</span>,</td>
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<tr>
<td id="L412" class="blob-num js-line-number" data-line-number="412"></td>
<td id="LC412" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">2</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L413" class="blob-num js-line-number" data-line-number="413"></td>
<td id="LC413" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span>(</td>
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<tr>
<td id="L414" class="blob-num js-line-number" data-line-number="414"></td>
<td id="LC414" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias_initializer</td>
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<tr>
<td id="L415" class="blob-num js-line-number" data-line-number="415"></td>
<td id="LC415" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._bias_initializer <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L416" class="blob-num js-line-number" data-line-number="416"></td>
<td id="LC416" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span> init_ops.constant_initializer(<span class="pl-c1">1.0</span>, <span class="pl-v">dtype</span><span class="pl-k">=</span><span class="pl-c1">self</span>.dtype)))</td>
</tr>
<tr>
<td id="L417" class="blob-num js-line-number" data-line-number="417"></td>
<td id="LC417" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._candidate_kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L418" class="blob-num js-line-number" data-line-number="418"></td>
<td id="LC418" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>candidate/<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
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<tr>
<td id="L419" class="blob-num js-line-number" data-line-number="419"></td>
<td id="LC419" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[input_depth <span class="pl-k">+</span> <span class="pl-c1">self</span>._num_units, <span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L420" class="blob-num js-line-number" data-line-number="420"></td>
<td id="LC420" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._kernel_initializer)</td>
</tr>
<tr>
<td id="L421" class="blob-num js-line-number" data-line-number="421"></td>
<td id="LC421" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._candidate_bias <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
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<td id="L422" class="blob-num js-line-number" data-line-number="422"></td>
<td id="LC422" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>candidate/<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> <span class="pl-c1">_BIAS_VARIABLE_NAME</span>,</td>
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<td id="L423" class="blob-num js-line-number" data-line-number="423"></td>
<td id="LC423" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units],</td>
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<td id="L424" class="blob-num js-line-number" data-line-number="424"></td>
<td id="LC424" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span>(</td>
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<td id="L425" class="blob-num js-line-number" data-line-number="425"></td>
<td id="LC425" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias_initializer</td>
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<td id="L426" class="blob-num js-line-number" data-line-number="426"></td>
<td id="LC426" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._bias_initializer <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span></td>
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<td id="L427" class="blob-num js-line-number" data-line-number="427"></td>
<td id="LC427" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span> init_ops.zeros_initializer(<span class="pl-v">dtype</span><span class="pl-k">=</span><span class="pl-c1">self</span>.dtype)))</td>
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<td id="L428" class="blob-num js-line-number" data-line-number="428"></td>
<td id="LC428" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L429" class="blob-num js-line-number" data-line-number="429"></td>
<td id="LC429" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.built <span class="pl-k">=</span> <span class="pl-c1">True</span></td>
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<td id="L430" class="blob-num js-line-number" data-line-number="430"></td>
<td id="LC430" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L431" class="blob-num js-line-number" data-line-number="431"></td>
<td id="LC431" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">call</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>):</td>
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<td id="L432" class="blob-num js-line-number" data-line-number="432"></td>
<td id="LC432" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Gated recurrent unit (GRU) with nunits cells.<span class="pl-pds">"""</span></span></td>
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<td id="L433" class="blob-num js-line-number" data-line-number="433"></td>
<td id="LC433" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L434" class="blob-num js-line-number" data-line-number="434"></td>
<td id="LC434" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> math_ops.matmul(</td>
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<td id="L435" class="blob-num js-line-number" data-line-number="435"></td>
<td id="LC435" class="blob-code blob-code-inner js-file-line"> array_ops.concat([inputs, state], <span class="pl-c1">1</span>), <span class="pl-c1">self</span>._gate_kernel)</td>
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<td id="L436" class="blob-num js-line-number" data-line-number="436"></td>
<td id="LC436" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> nn_ops.bias_add(gate_inputs, <span class="pl-c1">self</span>._gate_bias)</td>
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<td id="L437" class="blob-num js-line-number" data-line-number="437"></td>
<td id="LC437" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L438" class="blob-num js-line-number" data-line-number="438"></td>
<td id="LC438" class="blob-code blob-code-inner js-file-line"> value <span class="pl-k">=</span> math_ops.sigmoid(gate_inputs)</td>
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<td id="L439" class="blob-num js-line-number" data-line-number="439"></td>
<td id="LC439" class="blob-code blob-code-inner js-file-line"> r, u <span class="pl-k">=</span> array_ops.split(<span class="pl-v">value</span><span class="pl-k">=</span>value, <span class="pl-v">num_or_size_splits</span><span class="pl-k">=</span><span class="pl-c1">2</span>, <span class="pl-v">axis</span><span class="pl-k">=</span><span class="pl-c1">1</span>)</td>
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<td id="L440" class="blob-num js-line-number" data-line-number="440"></td>
<td id="LC440" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L441" class="blob-num js-line-number" data-line-number="441"></td>
<td id="LC441" class="blob-code blob-code-inner js-file-line"> r_state <span class="pl-k">=</span> r <span class="pl-k">*</span> state</td>
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<td id="L442" class="blob-num js-line-number" data-line-number="442"></td>
<td id="LC442" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L443" class="blob-num js-line-number" data-line-number="443"></td>
<td id="LC443" class="blob-code blob-code-inner js-file-line"> candidate <span class="pl-k">=</span> math_ops.matmul(</td>
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<td id="L444" class="blob-num js-line-number" data-line-number="444"></td>
<td id="LC444" class="blob-code blob-code-inner js-file-line"> array_ops.concat([inputs, r_state], <span class="pl-c1">1</span>), <span class="pl-c1">self</span>._candidate_kernel)</td>
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<td id="L445" class="blob-num js-line-number" data-line-number="445"></td>
<td id="LC445" class="blob-code blob-code-inner js-file-line"> candidate <span class="pl-k">=</span> nn_ops.bias_add(candidate, <span class="pl-c1">self</span>._candidate_bias)</td>
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<td id="L446" class="blob-num js-line-number" data-line-number="446"></td>
<td id="LC446" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L447" class="blob-num js-line-number" data-line-number="447"></td>
<td id="LC447" class="blob-code blob-code-inner js-file-line"> c <span class="pl-k">=</span> <span class="pl-c1">self</span>._activation(candidate)</td>
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<td id="L448" class="blob-num js-line-number" data-line-number="448"></td>
<td id="LC448" class="blob-code blob-code-inner js-file-line"> new_h <span class="pl-k">=</span> u <span class="pl-k">*</span> state <span class="pl-k">+</span> (<span class="pl-c1">1</span> <span class="pl-k">-</span> u) <span class="pl-k">*</span> c</td>
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<td id="L449" class="blob-num js-line-number" data-line-number="449"></td>
<td id="LC449" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> new_h, new_h</td>
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<td id="L450" class="blob-num js-line-number" data-line-number="450"></td>
<td id="LC450" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L451" class="blob-num js-line-number" data-line-number="451"></td>
<td id="LC451" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L452" class="blob-num js-line-number" data-line-number="452"></td>
<td id="LC452" class="blob-code blob-code-inner js-file-line">_LSTMStateTuple <span class="pl-k">=</span> collections.namedtuple(<span class="pl-s"><span class="pl-pds">"</span>LSTMStateTuple<span class="pl-pds">"</span></span>, (<span class="pl-s"><span class="pl-pds">"</span>c<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>h<span class="pl-pds">"</span></span>))</td>
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<td id="L453" class="blob-num js-line-number" data-line-number="453"></td>
<td id="LC453" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L454" class="blob-num js-line-number" data-line-number="454"></td>
<td id="LC454" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L455" class="blob-num js-line-number" data-line-number="455"></td>
<td id="LC455" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.LSTMStateTuple<span class="pl-pds">"</span></span>)</td>
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<td id="L456" class="blob-num js-line-number" data-line-number="456"></td>
<td id="LC456" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">LSTMStateTuple</span>(<span class="pl-e">_LSTMStateTuple</span>):</td>
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<tr>
<td id="L457" class="blob-num js-line-number" data-line-number="457"></td>
<td id="LC457" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Tuple used by LSTM Cells for `state_size`, `zero_state`, and output state.</span></td>
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<td id="L458" class="blob-num js-line-number" data-line-number="458"></td>
<td id="LC458" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L459" class="blob-num js-line-number" data-line-number="459"></td>
<td id="LC459" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Stores two elements: `(c, h)`, in that order. Where `c` is the hidden state</span></td>
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<tr>
<td id="L460" class="blob-num js-line-number" data-line-number="460"></td>
<td id="LC460" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> and `h` is the output.</span></td>
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<td id="L461" class="blob-num js-line-number" data-line-number="461"></td>
<td id="LC461" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L462" class="blob-num js-line-number" data-line-number="462"></td>
<td id="LC462" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Only used when `state_is_tuple=True`.</span></td>
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<td id="L463" class="blob-num js-line-number" data-line-number="463"></td>
<td id="LC463" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L464" class="blob-num js-line-number" data-line-number="464"></td>
<td id="LC464" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">__slots__</span> <span class="pl-k">=</span> ()</td>
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<td id="L465" class="blob-num js-line-number" data-line-number="465"></td>
<td id="LC465" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L466" class="blob-num js-line-number" data-line-number="466"></td>
<td id="LC466" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
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<td id="L467" class="blob-num js-line-number" data-line-number="467"></td>
<td id="LC467" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">dtype</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<td id="L468" class="blob-num js-line-number" data-line-number="468"></td>
<td id="LC468" class="blob-code blob-code-inner js-file-line"> (c, h) <span class="pl-k">=</span> <span class="pl-c1">self</span></td>
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<td id="L469" class="blob-num js-line-number" data-line-number="469"></td>
<td id="LC469" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> c.dtype <span class="pl-k">!=</span> h.dtype:</td>
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<td id="L470" class="blob-num js-line-number" data-line-number="470"></td>
<td id="LC470" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">TypeError</span>(<span class="pl-s"><span class="pl-pds">"</span>Inconsistent internal state: <span class="pl-c1">%s</span> vs <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span></td>
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<td id="L471" class="blob-num js-line-number" data-line-number="471"></td>
<td id="LC471" class="blob-code blob-code-inner js-file-line"> (<span class="pl-c1">str</span>(c.dtype), <span class="pl-c1">str</span>(h.dtype)))</td>
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<td id="L472" class="blob-num js-line-number" data-line-number="472"></td>
<td id="LC472" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> c.dtype</td>
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<td id="L473" class="blob-num js-line-number" data-line-number="473"></td>
<td id="LC473" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L474" class="blob-num js-line-number" data-line-number="474"></td>
<td id="LC474" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L475" class="blob-num js-line-number" data-line-number="475"></td>
<td id="LC475" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.BasicLSTMCell<span class="pl-pds">"</span></span>)</td>
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<td id="L476" class="blob-num js-line-number" data-line-number="476"></td>
<td id="LC476" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">BasicLSTMCell</span>(<span class="pl-e">_LayerRNNCell</span>):</td>
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<tr>
<td id="L477" class="blob-num js-line-number" data-line-number="477"></td>
<td id="LC477" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Basic LSTM recurrent network cell.</span></td>
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<td id="L478" class="blob-num js-line-number" data-line-number="478"></td>
<td id="LC478" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L479" class="blob-num js-line-number" data-line-number="479"></td>
<td id="LC479" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> The implementation is based on: http://arxiv.org/abs/1409.2329.</span></td>
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<tr>
<td id="L480" class="blob-num js-line-number" data-line-number="480"></td>
<td id="LC480" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L481" class="blob-num js-line-number" data-line-number="481"></td>
<td id="LC481" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> We add forget_bias (default: 1) to the biases of the forget gate in order to</span></td>
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<td id="L482" class="blob-num js-line-number" data-line-number="482"></td>
<td id="LC482" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> reduce the scale of forgetting in the beginning of the training.</span></td>
</tr>
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<td id="L483" class="blob-num js-line-number" data-line-number="483"></td>
<td id="LC483" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L484" class="blob-num js-line-number" data-line-number="484"></td>
<td id="LC484" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> It does not allow cell clipping, a projection layer, and does not</span></td>
</tr>
<tr>
<td id="L485" class="blob-num js-line-number" data-line-number="485"></td>
<td id="LC485" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> use peep-hole connections: it is the basic baseline.</span></td>
</tr>
<tr>
<td id="L486" class="blob-num js-line-number" data-line-number="486"></td>
<td id="LC486" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L487" class="blob-num js-line-number" data-line-number="487"></td>
<td id="LC487" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> For advanced models, please use the full @{tf.nn.rnn_cell.LSTMCell}</span></td>
</tr>
<tr>
<td id="L488" class="blob-num js-line-number" data-line-number="488"></td>
<td id="LC488" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> that follows.</span></td>
</tr>
<tr>
<td id="L489" class="blob-num js-line-number" data-line-number="489"></td>
<td id="LC489" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L490" class="blob-num js-line-number" data-line-number="490"></td>
<td id="LC490" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L491" class="blob-num js-line-number" data-line-number="491"></td>
<td id="LC491" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">num_units</span>, <span class="pl-smi">forget_bias</span><span class="pl-k">=</span><span class="pl-c1">1.0</span>,</td>
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<td id="L492" class="blob-num js-line-number" data-line-number="492"></td>
<td id="LC492" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">state_is_tuple</span><span class="pl-k">=</span><span class="pl-c1">True</span>, <span class="pl-smi">activation</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">reuse</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">name</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
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<tr>
<td id="L493" class="blob-num js-line-number" data-line-number="493"></td>
<td id="LC493" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Initialize the basic LSTM cell.</span></td>
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<td id="L494" class="blob-num js-line-number" data-line-number="494"></td>
<td id="LC494" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L495" class="blob-num js-line-number" data-line-number="495"></td>
<td id="LC495" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L496" class="blob-num js-line-number" data-line-number="496"></td>
<td id="LC496" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_units: int, The number of units in the LSTM cell.</span></td>
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<td id="L497" class="blob-num js-line-number" data-line-number="497"></td>
<td id="LC497" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> forget_bias: float, The bias added to forget gates (see above).</span></td>
</tr>
<tr>
<td id="L498" class="blob-num js-line-number" data-line-number="498"></td>
<td id="LC498" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Must set to `0.0` manually when restoring from CudnnLSTM-trained</span></td>
</tr>
<tr>
<td id="L499" class="blob-num js-line-number" data-line-number="499"></td>
<td id="LC499" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> checkpoints.</span></td>
</tr>
<tr>
<td id="L500" class="blob-num js-line-number" data-line-number="500"></td>
<td id="LC500" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state_is_tuple: If True, accepted and returned states are 2-tuples of</span></td>
</tr>
<tr>
<td id="L501" class="blob-num js-line-number" data-line-number="501"></td>
<td id="LC501" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the `c_state` and `m_state`. If False, they are concatenated</span></td>
</tr>
<tr>
<td id="L502" class="blob-num js-line-number" data-line-number="502"></td>
<td id="LC502" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> along the column axis. The latter behavior will soon be deprecated.</span></td>
</tr>
<tr>
<td id="L503" class="blob-num js-line-number" data-line-number="503"></td>
<td id="LC503" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> activation: Activation function of the inner states. Default: `tanh`.</span></td>
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<td id="L504" class="blob-num js-line-number" data-line-number="504"></td>
<td id="LC504" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> reuse: (optional) Python boolean describing whether to reuse variables</span></td>
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<tr>
<td id="L505" class="blob-num js-line-number" data-line-number="505"></td>
<td id="LC505" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> in an existing scope. If not `True`, and the existing scope already has</span></td>
</tr>
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<td id="L506" class="blob-num js-line-number" data-line-number="506"></td>
<td id="LC506" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the given variables, an error is raised.</span></td>
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<tr>
<td id="L507" class="blob-num js-line-number" data-line-number="507"></td>
<td id="LC507" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> name: String, the name of the layer. Layers with the same name will</span></td>
</tr>
<tr>
<td id="L508" class="blob-num js-line-number" data-line-number="508"></td>
<td id="LC508" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> share weights, but to avoid mistakes we require reuse=True in such</span></td>
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<tr>
<td id="L509" class="blob-num js-line-number" data-line-number="509"></td>
<td id="LC509" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cases.</span></td>
</tr>
<tr>
<td id="L510" class="blob-num js-line-number" data-line-number="510"></td>
<td id="LC510" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L511" class="blob-num js-line-number" data-line-number="511"></td>
<td id="LC511" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> When restoring from CudnnLSTM-trained checkpoints, must use</span></td>
</tr>
<tr>
<td id="L512" class="blob-num js-line-number" data-line-number="512"></td>
<td id="LC512" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `CudnnCompatibleLSTMCell` instead.</span></td>
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<td id="L513" class="blob-num js-line-number" data-line-number="513"></td>
<td id="LC513" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L514" class="blob-num js-line-number" data-line-number="514"></td>
<td id="LC514" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">super</span>(BasicLSTMCell, <span class="pl-c1">self</span>).<span class="pl-c1">__init__</span>(<span class="pl-v">_reuse</span><span class="pl-k">=</span>reuse, <span class="pl-v">name</span><span class="pl-k">=</span>name)</td>
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<td id="L515" class="blob-num js-line-number" data-line-number="515"></td>
<td id="LC515" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> state_is_tuple:</td>
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<td id="L516" class="blob-num js-line-number" data-line-number="516"></td>
<td id="LC516" class="blob-code blob-code-inner js-file-line"> logging.warn(<span class="pl-s"><span class="pl-pds">"</span><span class="pl-c1">%s</span>: Using a concatenated state is slower and will soon be <span class="pl-pds">"</span></span></td>
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<tr>
<td id="L517" class="blob-num js-line-number" data-line-number="517"></td>
<td id="LC517" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>deprecated. Use state_is_tuple=True.<span class="pl-pds">"</span></span>, <span class="pl-c1">self</span>)</td>
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<td id="L518" class="blob-num js-line-number" data-line-number="518"></td>
<td id="LC518" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L519" class="blob-num js-line-number" data-line-number="519"></td>
<td id="LC519" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Inputs must be 2-dimensional.</span></td>
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<td id="L520" class="blob-num js-line-number" data-line-number="520"></td>
<td id="LC520" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.input_spec <span class="pl-k">=</span> base_layer.InputSpec(<span class="pl-v">ndim</span><span class="pl-k">=</span><span class="pl-c1">2</span>)</td>
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<td id="L521" class="blob-num js-line-number" data-line-number="521"></td>
<td id="LC521" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L522" class="blob-num js-line-number" data-line-number="522"></td>
<td id="LC522" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_units <span class="pl-k">=</span> num_units</td>
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<td id="L523" class="blob-num js-line-number" data-line-number="523"></td>
<td id="LC523" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._forget_bias <span class="pl-k">=</span> forget_bias</td>
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<td id="L524" class="blob-num js-line-number" data-line-number="524"></td>
<td id="LC524" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">=</span> state_is_tuple</td>
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<tr>
<td id="L525" class="blob-num js-line-number" data-line-number="525"></td>
<td id="LC525" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._activation <span class="pl-k">=</span> activation <span class="pl-k">or</span> math_ops.tanh</td>
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<td id="L526" class="blob-num js-line-number" data-line-number="526"></td>
<td id="LC526" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L527" class="blob-num js-line-number" data-line-number="527"></td>
<td id="LC527" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
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<td id="L528" class="blob-num js-line-number" data-line-number="528"></td>
<td id="LC528" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<td id="L529" class="blob-num js-line-number" data-line-number="529"></td>
<td id="LC529" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> (LSTMStateTuple(<span class="pl-c1">self</span>._num_units, <span class="pl-c1">self</span>._num_units)</td>
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<tr>
<td id="L530" class="blob-num js-line-number" data-line-number="530"></td>
<td id="LC530" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">else</span> <span class="pl-c1">2</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units)</td>
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<tr>
<td id="L531" class="blob-num js-line-number" data-line-number="531"></td>
<td id="LC531" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L532" class="blob-num js-line-number" data-line-number="532"></td>
<td id="LC532" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L533" class="blob-num js-line-number" data-line-number="533"></td>
<td id="LC533" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
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<td id="L534" class="blob-num js-line-number" data-line-number="534"></td>
<td id="LC534" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._num_units</td>
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<tr>
<td id="L535" class="blob-num js-line-number" data-line-number="535"></td>
<td id="LC535" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L536" class="blob-num js-line-number" data-line-number="536"></td>
<td id="LC536" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">build</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs_shape</span>):</td>
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<td id="L537" class="blob-num js-line-number" data-line-number="537"></td>
<td id="LC537" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> inputs_shape[<span class="pl-c1">1</span>].value <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
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<tr>
<td id="L538" class="blob-num js-line-number" data-line-number="538"></td>
<td id="LC538" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Expected inputs.shape[-1] to be known, saw shape: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
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<td id="L539" class="blob-num js-line-number" data-line-number="539"></td>
<td id="LC539" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> inputs_shape)</td>
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<tr>
<td id="L540" class="blob-num js-line-number" data-line-number="540"></td>
<td id="LC540" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L541" class="blob-num js-line-number" data-line-number="541"></td>
<td id="LC541" class="blob-code blob-code-inner js-file-line"> input_depth <span class="pl-k">=</span> inputs_shape[<span class="pl-c1">1</span>].value</td>
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<tr>
<td id="L542" class="blob-num js-line-number" data-line-number="542"></td>
<td id="LC542" class="blob-code blob-code-inner js-file-line"> h_depth <span class="pl-k">=</span> <span class="pl-c1">self</span>._num_units</td>
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<tr>
<td id="L543" class="blob-num js-line-number" data-line-number="543"></td>
<td id="LC543" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
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<td id="L544" class="blob-num js-line-number" data-line-number="544"></td>
<td id="LC544" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
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<tr>
<td id="L545" class="blob-num js-line-number" data-line-number="545"></td>
<td id="LC545" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[input_depth <span class="pl-k">+</span> h_depth, <span class="pl-c1">4</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units])</td>
</tr>
<tr>
<td id="L546" class="blob-num js-line-number" data-line-number="546"></td>
<td id="LC546" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
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<tr>
<td id="L547" class="blob-num js-line-number" data-line-number="547"></td>
<td id="LC547" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_BIAS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L548" class="blob-num js-line-number" data-line-number="548"></td>
<td id="LC548" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">4</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L549" class="blob-num js-line-number" data-line-number="549"></td>
<td id="LC549" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span>init_ops.zeros_initializer(<span class="pl-v">dtype</span><span class="pl-k">=</span><span class="pl-c1">self</span>.dtype))</td>
</tr>
<tr>
<td id="L550" class="blob-num js-line-number" data-line-number="550"></td>
<td id="LC550" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L551" class="blob-num js-line-number" data-line-number="551"></td>
<td id="LC551" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.built <span class="pl-k">=</span> <span class="pl-c1">True</span></td>
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<tr>
<td id="L552" class="blob-num js-line-number" data-line-number="552"></td>
<td id="LC552" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L553" class="blob-num js-line-number" data-line-number="553"></td>
<td id="LC553" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">call</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>):</td>
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<tr>
<td id="L554" class="blob-num js-line-number" data-line-number="554"></td>
<td id="LC554" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Long short-term memory cell (LSTM).</span></td>
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<tr>
<td id="L555" class="blob-num js-line-number" data-line-number="555"></td>
<td id="LC555" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L556" class="blob-num js-line-number" data-line-number="556"></td>
<td id="LC556" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L557" class="blob-num js-line-number" data-line-number="557"></td>
<td id="LC557" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> inputs: `2-D` tensor with shape `[batch_size, input_size]`.</span></td>
</tr>
<tr>
<td id="L558" class="blob-num js-line-number" data-line-number="558"></td>
<td id="LC558" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state: An `LSTMStateTuple` of state tensors, each shaped</span></td>
</tr>
<tr>
<td id="L559" class="blob-num js-line-number" data-line-number="559"></td>
<td id="LC559" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `[batch_size, self.state_size]`, if `state_is_tuple` has been set to</span></td>
</tr>
<tr>
<td id="L560" class="blob-num js-line-number" data-line-number="560"></td>
<td id="LC560" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `True`. Otherwise, a `Tensor` shaped</span></td>
</tr>
<tr>
<td id="L561" class="blob-num js-line-number" data-line-number="561"></td>
<td id="LC561" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `[batch_size, 2 * self.state_size]`.</span></td>
</tr>
<tr>
<td id="L562" class="blob-num js-line-number" data-line-number="562"></td>
<td id="LC562" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L563" class="blob-num js-line-number" data-line-number="563"></td>
<td id="LC563" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L564" class="blob-num js-line-number" data-line-number="564"></td>
<td id="LC564" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> A pair containing the new hidden state, and the new state (either a</span></td>
</tr>
<tr>
<td id="L565" class="blob-num js-line-number" data-line-number="565"></td>
<td id="LC565" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `LSTMStateTuple` or a concatenated state, depending on</span></td>
</tr>
<tr>
<td id="L566" class="blob-num js-line-number" data-line-number="566"></td>
<td id="LC566" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `state_is_tuple`).</span></td>
</tr>
<tr>
<td id="L567" class="blob-num js-line-number" data-line-number="567"></td>
<td id="LC567" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L568" class="blob-num js-line-number" data-line-number="568"></td>
<td id="LC568" class="blob-code blob-code-inner js-file-line"> sigmoid <span class="pl-k">=</span> math_ops.sigmoid</td>
</tr>
<tr>
<td id="L569" class="blob-num js-line-number" data-line-number="569"></td>
<td id="LC569" class="blob-code blob-code-inner js-file-line"> one <span class="pl-k">=</span> constant_op.constant(<span class="pl-c1">1</span>, <span class="pl-v">dtype</span><span class="pl-k">=</span>dtypes.int32)</td>
</tr>
<tr>
<td id="L570" class="blob-num js-line-number" data-line-number="570"></td>
<td id="LC570" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Parameters of gates are concatenated into one multiply for efficiency.</span></td>
</tr>
<tr>
<td id="L571" class="blob-num js-line-number" data-line-number="571"></td>
<td id="LC571" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
</tr>
<tr>
<td id="L572" class="blob-num js-line-number" data-line-number="572"></td>
<td id="LC572" class="blob-code blob-code-inner js-file-line"> c, h <span class="pl-k">=</span> state</td>
</tr>
<tr>
<td id="L573" class="blob-num js-line-number" data-line-number="573"></td>
<td id="LC573" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L574" class="blob-num js-line-number" data-line-number="574"></td>
<td id="LC574" class="blob-code blob-code-inner js-file-line"> c, h <span class="pl-k">=</span> array_ops.split(<span class="pl-v">value</span><span class="pl-k">=</span>state, <span class="pl-v">num_or_size_splits</span><span class="pl-k">=</span><span class="pl-c1">2</span>, <span class="pl-v">axis</span><span class="pl-k">=</span>one)</td>
</tr>
<tr>
<td id="L575" class="blob-num js-line-number" data-line-number="575"></td>
<td id="LC575" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L576" class="blob-num js-line-number" data-line-number="576"></td>
<td id="LC576" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> math_ops.matmul(</td>
</tr>
<tr>
<td id="L577" class="blob-num js-line-number" data-line-number="577"></td>
<td id="LC577" class="blob-code blob-code-inner js-file-line"> array_ops.concat([inputs, h], <span class="pl-c1">1</span>), <span class="pl-c1">self</span>._kernel)</td>
</tr>
<tr>
<td id="L578" class="blob-num js-line-number" data-line-number="578"></td>
<td id="LC578" class="blob-code blob-code-inner js-file-line"> gate_inputs <span class="pl-k">=</span> nn_ops.bias_add(gate_inputs, <span class="pl-c1">self</span>._bias)</td>
</tr>
<tr>
<td id="L579" class="blob-num js-line-number" data-line-number="579"></td>
<td id="LC579" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L580" class="blob-num js-line-number" data-line-number="580"></td>
<td id="LC580" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> i = input_gate, j = new_input, f = forget_gate, o = output_gate</span></td>
</tr>
<tr>
<td id="L581" class="blob-num js-line-number" data-line-number="581"></td>
<td id="LC581" class="blob-code blob-code-inner js-file-line"> i, j, f, o <span class="pl-k">=</span> array_ops.split(</td>
</tr>
<tr>
<td id="L582" class="blob-num js-line-number" data-line-number="582"></td>
<td id="LC582" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">value</span><span class="pl-k">=</span>gate_inputs, <span class="pl-v">num_or_size_splits</span><span class="pl-k">=</span><span class="pl-c1">4</span>, <span class="pl-v">axis</span><span class="pl-k">=</span>one)</td>
</tr>
<tr>
<td id="L583" class="blob-num js-line-number" data-line-number="583"></td>
<td id="LC583" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L584" class="blob-num js-line-number" data-line-number="584"></td>
<td id="LC584" class="blob-code blob-code-inner js-file-line"> forget_bias_tensor <span class="pl-k">=</span> constant_op.constant(<span class="pl-c1">self</span>._forget_bias, <span class="pl-v">dtype</span><span class="pl-k">=</span>f.dtype)</td>
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<td id="L585" class="blob-num js-line-number" data-line-number="585"></td>
<td id="LC585" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Note that using `add` and `multiply` instead of `+` and `*` gives a</span></td>
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<td id="L586" class="blob-num js-line-number" data-line-number="586"></td>
<td id="LC586" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> performance improvement. So using those at the cost of readability.</span></td>
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<td id="L587" class="blob-num js-line-number" data-line-number="587"></td>
<td id="LC587" class="blob-code blob-code-inner js-file-line"> add <span class="pl-k">=</span> math_ops.add</td>
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<td id="L588" class="blob-num js-line-number" data-line-number="588"></td>
<td id="LC588" class="blob-code blob-code-inner js-file-line"> multiply <span class="pl-k">=</span> math_ops.multiply</td>
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<td id="L589" class="blob-num js-line-number" data-line-number="589"></td>
<td id="LC589" class="blob-code blob-code-inner js-file-line"> new_c <span class="pl-k">=</span> add(multiply(c, sigmoid(add(f, forget_bias_tensor))),</td>
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<td id="L590" class="blob-num js-line-number" data-line-number="590"></td>
<td id="LC590" class="blob-code blob-code-inner js-file-line"> multiply(sigmoid(i), <span class="pl-c1">self</span>._activation(j)))</td>
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<td id="L591" class="blob-num js-line-number" data-line-number="591"></td>
<td id="LC591" class="blob-code blob-code-inner js-file-line"> new_h <span class="pl-k">=</span> multiply(<span class="pl-c1">self</span>._activation(new_c), sigmoid(o))</td>
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<td id="L592" class="blob-num js-line-number" data-line-number="592"></td>
<td id="LC592" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L593" class="blob-num js-line-number" data-line-number="593"></td>
<td id="LC593" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
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<td id="L594" class="blob-num js-line-number" data-line-number="594"></td>
<td id="LC594" class="blob-code blob-code-inner js-file-line"> new_state <span class="pl-k">=</span> LSTMStateTuple(new_c, new_h)</td>
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<td id="L595" class="blob-num js-line-number" data-line-number="595"></td>
<td id="LC595" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
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<td id="L596" class="blob-num js-line-number" data-line-number="596"></td>
<td id="LC596" class="blob-code blob-code-inner js-file-line"> new_state <span class="pl-k">=</span> array_ops.concat([new_c, new_h], <span class="pl-c1">1</span>)</td>
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<td id="L597" class="blob-num js-line-number" data-line-number="597"></td>
<td id="LC597" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> new_h, new_state</td>
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<td id="L598" class="blob-num js-line-number" data-line-number="598"></td>
<td id="LC598" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L599" class="blob-num js-line-number" data-line-number="599"></td>
<td id="LC599" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L600" class="blob-num js-line-number" data-line-number="600"></td>
<td id="LC600" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.LSTMCell<span class="pl-pds">"</span></span>)</td>
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<td id="L601" class="blob-num js-line-number" data-line-number="601"></td>
<td id="LC601" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">LSTMCell</span>(<span class="pl-e">_LayerRNNCell</span>):</td>
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<td id="L602" class="blob-num js-line-number" data-line-number="602"></td>
<td id="LC602" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Long short-term memory unit (LSTM) recurrent network cell.</span></td>
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<td id="L603" class="blob-num js-line-number" data-line-number="603"></td>
<td id="LC603" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L604" class="blob-num js-line-number" data-line-number="604"></td>
<td id="LC604" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> The default non-peephole implementation is based on:</span></td>
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<td id="L605" class="blob-num js-line-number" data-line-number="605"></td>
<td id="LC605" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L606" class="blob-num js-line-number" data-line-number="606"></td>
<td id="LC606" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> http://www.bioinf.jku.at/publications/older/2604.pdf</span></td>
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<tr>
<td id="L607" class="blob-num js-line-number" data-line-number="607"></td>
<td id="LC607" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L608" class="blob-num js-line-number" data-line-number="608"></td>
<td id="LC608" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> S. Hochreiter and J. Schmidhuber.</span></td>
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<tr>
<td id="L609" class="blob-num js-line-number" data-line-number="609"></td>
<td id="LC609" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997.</span></td>
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<tr>
<td id="L610" class="blob-num js-line-number" data-line-number="610"></td>
<td id="LC610" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L611" class="blob-num js-line-number" data-line-number="611"></td>
<td id="LC611" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> The peephole implementation is based on:</span></td>
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<td id="L612" class="blob-num js-line-number" data-line-number="612"></td>
<td id="LC612" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L613" class="blob-num js-line-number" data-line-number="613"></td>
<td id="LC613" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> https://research.google.com/pubs/archive/43905.pdf</span></td>
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<tr>
<td id="L614" class="blob-num js-line-number" data-line-number="614"></td>
<td id="LC614" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L615" class="blob-num js-line-number" data-line-number="615"></td>
<td id="LC615" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Hasim Sak, Andrew Senior, and Francoise Beaufays.</span></td>
</tr>
<tr>
<td id="L616" class="blob-num js-line-number" data-line-number="616"></td>
<td id="LC616" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> "Long short-term memory recurrent neural network architectures for</span></td>
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<tr>
<td id="L617" class="blob-num js-line-number" data-line-number="617"></td>
<td id="LC617" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> large scale acoustic modeling." INTERSPEECH, 2014.</span></td>
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<td id="L618" class="blob-num js-line-number" data-line-number="618"></td>
<td id="LC618" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L619" class="blob-num js-line-number" data-line-number="619"></td>
<td id="LC619" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> The class uses optional peep-hole connections, optional cell clipping, and</span></td>
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<tr>
<td id="L620" class="blob-num js-line-number" data-line-number="620"></td>
<td id="LC620" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> an optional projection layer.</span></td>
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<tr>
<td id="L621" class="blob-num js-line-number" data-line-number="621"></td>
<td id="LC621" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
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<td id="L622" class="blob-num js-line-number" data-line-number="622"></td>
<td id="LC622" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
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<td id="L623" class="blob-num js-line-number" data-line-number="623"></td>
<td id="LC623" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">num_units</span>,</td>
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<tr>
<td id="L624" class="blob-num js-line-number" data-line-number="624"></td>
<td id="LC624" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">use_peepholes</span><span class="pl-k">=</span><span class="pl-c1">False</span>, <span class="pl-smi">cell_clip</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<tr>
<td id="L625" class="blob-num js-line-number" data-line-number="625"></td>
<td id="LC625" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">initializer</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">num_proj</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">proj_clip</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L626" class="blob-num js-line-number" data-line-number="626"></td>
<td id="LC626" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">num_unit_shards</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">num_proj_shards</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L627" class="blob-num js-line-number" data-line-number="627"></td>
<td id="LC627" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">forget_bias</span><span class="pl-k">=</span><span class="pl-c1">1.0</span>, <span class="pl-smi">state_is_tuple</span><span class="pl-k">=</span><span class="pl-c1">True</span>,</td>
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<td id="L628" class="blob-num js-line-number" data-line-number="628"></td>
<td id="LC628" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">activation</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">reuse</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">name</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
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<tr>
<td id="L629" class="blob-num js-line-number" data-line-number="629"></td>
<td id="LC629" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Initialize the parameters for an LSTM cell.</span></td>
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<td id="L630" class="blob-num js-line-number" data-line-number="630"></td>
<td id="LC630" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L631" class="blob-num js-line-number" data-line-number="631"></td>
<td id="LC631" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L632" class="blob-num js-line-number" data-line-number="632"></td>
<td id="LC632" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_units: int, The number of units in the LSTM cell.</span></td>
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<tr>
<td id="L633" class="blob-num js-line-number" data-line-number="633"></td>
<td id="LC633" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> use_peepholes: bool, set True to enable diagonal/peephole connections.</span></td>
</tr>
<tr>
<td id="L634" class="blob-num js-line-number" data-line-number="634"></td>
<td id="LC634" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cell_clip: (optional) A float value, if provided the cell state is clipped</span></td>
</tr>
<tr>
<td id="L635" class="blob-num js-line-number" data-line-number="635"></td>
<td id="LC635" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> by this value prior to the cell output activation.</span></td>
</tr>
<tr>
<td id="L636" class="blob-num js-line-number" data-line-number="636"></td>
<td id="LC636" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> initializer: (optional) The initializer to use for the weight and</span></td>
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<td id="L637" class="blob-num js-line-number" data-line-number="637"></td>
<td id="LC637" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> projection matrices.</span></td>
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<tr>
<td id="L638" class="blob-num js-line-number" data-line-number="638"></td>
<td id="LC638" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_proj: (optional) int, The output dimensionality for the projection</span></td>
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<tr>
<td id="L639" class="blob-num js-line-number" data-line-number="639"></td>
<td id="LC639" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> matrices. If None, no projection is performed.</span></td>
</tr>
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<td id="L640" class="blob-num js-line-number" data-line-number="640"></td>
<td id="LC640" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> proj_clip: (optional) A float value. If `num_proj > 0` and `proj_clip` is</span></td>
</tr>
<tr>
<td id="L641" class="blob-num js-line-number" data-line-number="641"></td>
<td id="LC641" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> provided, then the projected values are clipped elementwise to within</span></td>
</tr>
<tr>
<td id="L642" class="blob-num js-line-number" data-line-number="642"></td>
<td id="LC642" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `[-proj_clip, proj_clip]`.</span></td>
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<tr>
<td id="L643" class="blob-num js-line-number" data-line-number="643"></td>
<td id="LC643" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_unit_shards: Deprecated, will be removed by Jan. 2017.</span></td>
</tr>
<tr>
<td id="L644" class="blob-num js-line-number" data-line-number="644"></td>
<td id="LC644" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Use a variable_scope partitioner instead.</span></td>
</tr>
<tr>
<td id="L645" class="blob-num js-line-number" data-line-number="645"></td>
<td id="LC645" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_proj_shards: Deprecated, will be removed by Jan. 2017.</span></td>
</tr>
<tr>
<td id="L646" class="blob-num js-line-number" data-line-number="646"></td>
<td id="LC646" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Use a variable_scope partitioner instead.</span></td>
</tr>
<tr>
<td id="L647" class="blob-num js-line-number" data-line-number="647"></td>
<td id="LC647" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> forget_bias: Biases of the forget gate are initialized by default to 1</span></td>
</tr>
<tr>
<td id="L648" class="blob-num js-line-number" data-line-number="648"></td>
<td id="LC648" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> in order to reduce the scale of forgetting at the beginning of</span></td>
</tr>
<tr>
<td id="L649" class="blob-num js-line-number" data-line-number="649"></td>
<td id="LC649" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the training. Must set it manually to `0.0` when restoring from</span></td>
</tr>
<tr>
<td id="L650" class="blob-num js-line-number" data-line-number="650"></td>
<td id="LC650" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> CudnnLSTM trained checkpoints.</span></td>
</tr>
<tr>
<td id="L651" class="blob-num js-line-number" data-line-number="651"></td>
<td id="LC651" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state_is_tuple: If True, accepted and returned states are 2-tuples of</span></td>
</tr>
<tr>
<td id="L652" class="blob-num js-line-number" data-line-number="652"></td>
<td id="LC652" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the `c_state` and `m_state`. If False, they are concatenated</span></td>
</tr>
<tr>
<td id="L653" class="blob-num js-line-number" data-line-number="653"></td>
<td id="LC653" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> along the column axis. This latter behavior will soon be deprecated.</span></td>
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<tr>
<td id="L654" class="blob-num js-line-number" data-line-number="654"></td>
<td id="LC654" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> activation: Activation function of the inner states. Default: `tanh`.</span></td>
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<tr>
<td id="L655" class="blob-num js-line-number" data-line-number="655"></td>
<td id="LC655" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> reuse: (optional) Python boolean describing whether to reuse variables</span></td>
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<tr>
<td id="L656" class="blob-num js-line-number" data-line-number="656"></td>
<td id="LC656" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> in an existing scope. If not `True`, and the existing scope already has</span></td>
</tr>
<tr>
<td id="L657" class="blob-num js-line-number" data-line-number="657"></td>
<td id="LC657" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the given variables, an error is raised.</span></td>
</tr>
<tr>
<td id="L658" class="blob-num js-line-number" data-line-number="658"></td>
<td id="LC658" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> name: String, the name of the layer. Layers with the same name will</span></td>
</tr>
<tr>
<td id="L659" class="blob-num js-line-number" data-line-number="659"></td>
<td id="LC659" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> share weights, but to avoid mistakes we require reuse=True in such</span></td>
</tr>
<tr>
<td id="L660" class="blob-num js-line-number" data-line-number="660"></td>
<td id="LC660" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cases.</span></td>
</tr>
<tr>
<td id="L661" class="blob-num js-line-number" data-line-number="661"></td>
<td id="LC661" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L662" class="blob-num js-line-number" data-line-number="662"></td>
<td id="LC662" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> When restoring from CudnnLSTM-trained checkpoints, use</span></td>
</tr>
<tr>
<td id="L663" class="blob-num js-line-number" data-line-number="663"></td>
<td id="LC663" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `CudnnCompatibleLSTMCell` instead.</span></td>
</tr>
<tr>
<td id="L664" class="blob-num js-line-number" data-line-number="664"></td>
<td id="LC664" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L665" class="blob-num js-line-number" data-line-number="665"></td>
<td id="LC665" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">super</span>(LSTMCell, <span class="pl-c1">self</span>).<span class="pl-c1">__init__</span>(<span class="pl-v">_reuse</span><span class="pl-k">=</span>reuse, <span class="pl-v">name</span><span class="pl-k">=</span>name)</td>
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<td id="L666" class="blob-num js-line-number" data-line-number="666"></td>
<td id="LC666" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> state_is_tuple:</td>
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<tr>
<td id="L667" class="blob-num js-line-number" data-line-number="667"></td>
<td id="LC667" class="blob-code blob-code-inner js-file-line"> logging.warn(<span class="pl-s"><span class="pl-pds">"</span><span class="pl-c1">%s</span>: Using a concatenated state is slower and will soon be <span class="pl-pds">"</span></span></td>
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<tr>
<td id="L668" class="blob-num js-line-number" data-line-number="668"></td>
<td id="LC668" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>deprecated. Use state_is_tuple=True.<span class="pl-pds">"</span></span>, <span class="pl-c1">self</span>)</td>
</tr>
<tr>
<td id="L669" class="blob-num js-line-number" data-line-number="669"></td>
<td id="LC669" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> num_unit_shards <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span> <span class="pl-k">or</span> num_proj_shards <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L670" class="blob-num js-line-number" data-line-number="670"></td>
<td id="LC670" class="blob-code blob-code-inner js-file-line"> logging.warn(</td>
</tr>
<tr>
<td id="L671" class="blob-num js-line-number" data-line-number="671"></td>
<td id="LC671" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span><span class="pl-c1">%s</span>: The num_unit_shards and proj_unit_shards parameters are <span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L672" class="blob-num js-line-number" data-line-number="672"></td>
<td id="LC672" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>deprecated and will be removed in Jan 2017. <span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L673" class="blob-num js-line-number" data-line-number="673"></td>
<td id="LC673" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>Use a variable scope with a partitioner instead.<span class="pl-pds">"</span></span>, <span class="pl-c1">self</span>)</td>
</tr>
<tr>
<td id="L674" class="blob-num js-line-number" data-line-number="674"></td>
<td id="LC674" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L675" class="blob-num js-line-number" data-line-number="675"></td>
<td id="LC675" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Inputs must be 2-dimensional.</span></td>
</tr>
<tr>
<td id="L676" class="blob-num js-line-number" data-line-number="676"></td>
<td id="LC676" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.input_spec <span class="pl-k">=</span> base_layer.InputSpec(<span class="pl-v">ndim</span><span class="pl-k">=</span><span class="pl-c1">2</span>)</td>
</tr>
<tr>
<td id="L677" class="blob-num js-line-number" data-line-number="677"></td>
<td id="LC677" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L678" class="blob-num js-line-number" data-line-number="678"></td>
<td id="LC678" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_units <span class="pl-k">=</span> num_units</td>
</tr>
<tr>
<td id="L679" class="blob-num js-line-number" data-line-number="679"></td>
<td id="LC679" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._use_peepholes <span class="pl-k">=</span> use_peepholes</td>
</tr>
<tr>
<td id="L680" class="blob-num js-line-number" data-line-number="680"></td>
<td id="LC680" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell_clip <span class="pl-k">=</span> cell_clip</td>
</tr>
<tr>
<td id="L681" class="blob-num js-line-number" data-line-number="681"></td>
<td id="LC681" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._initializer <span class="pl-k">=</span> initializer</td>
</tr>
<tr>
<td id="L682" class="blob-num js-line-number" data-line-number="682"></td>
<td id="LC682" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_proj <span class="pl-k">=</span> num_proj</td>
</tr>
<tr>
<td id="L683" class="blob-num js-line-number" data-line-number="683"></td>
<td id="LC683" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._proj_clip <span class="pl-k">=</span> proj_clip</td>
</tr>
<tr>
<td id="L684" class="blob-num js-line-number" data-line-number="684"></td>
<td id="LC684" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_unit_shards <span class="pl-k">=</span> num_unit_shards</td>
</tr>
<tr>
<td id="L685" class="blob-num js-line-number" data-line-number="685"></td>
<td id="LC685" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._num_proj_shards <span class="pl-k">=</span> num_proj_shards</td>
</tr>
<tr>
<td id="L686" class="blob-num js-line-number" data-line-number="686"></td>
<td id="LC686" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._forget_bias <span class="pl-k">=</span> forget_bias</td>
</tr>
<tr>
<td id="L687" class="blob-num js-line-number" data-line-number="687"></td>
<td id="LC687" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">=</span> state_is_tuple</td>
</tr>
<tr>
<td id="L688" class="blob-num js-line-number" data-line-number="688"></td>
<td id="LC688" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._activation <span class="pl-k">=</span> activation <span class="pl-k">or</span> math_ops.tanh</td>
</tr>
<tr>
<td id="L689" class="blob-num js-line-number" data-line-number="689"></td>
<td id="LC689" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L690" class="blob-num js-line-number" data-line-number="690"></td>
<td id="LC690" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> num_proj:</td>
</tr>
<tr>
<td id="L691" class="blob-num js-line-number" data-line-number="691"></td>
<td id="LC691" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_size <span class="pl-k">=</span> (</td>
</tr>
<tr>
<td id="L692" class="blob-num js-line-number" data-line-number="692"></td>
<td id="LC692" class="blob-code blob-code-inner js-file-line"> LSTMStateTuple(num_units, num_proj)</td>
</tr>
<tr>
<td id="L693" class="blob-num js-line-number" data-line-number="693"></td>
<td id="LC693" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> state_is_tuple <span class="pl-k">else</span> num_units <span class="pl-k">+</span> num_proj)</td>
</tr>
<tr>
<td id="L694" class="blob-num js-line-number" data-line-number="694"></td>
<td id="LC694" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._output_size <span class="pl-k">=</span> num_proj</td>
</tr>
<tr>
<td id="L695" class="blob-num js-line-number" data-line-number="695"></td>
<td id="LC695" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L696" class="blob-num js-line-number" data-line-number="696"></td>
<td id="LC696" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_size <span class="pl-k">=</span> (</td>
</tr>
<tr>
<td id="L697" class="blob-num js-line-number" data-line-number="697"></td>
<td id="LC697" class="blob-code blob-code-inner js-file-line"> LSTMStateTuple(num_units, num_units)</td>
</tr>
<tr>
<td id="L698" class="blob-num js-line-number" data-line-number="698"></td>
<td id="LC698" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> state_is_tuple <span class="pl-k">else</span> <span class="pl-c1">2</span> <span class="pl-k">*</span> num_units)</td>
</tr>
<tr>
<td id="L699" class="blob-num js-line-number" data-line-number="699"></td>
<td id="LC699" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._output_size <span class="pl-k">=</span> num_units</td>
</tr>
<tr>
<td id="L700" class="blob-num js-line-number" data-line-number="700"></td>
<td id="LC700" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L701" class="blob-num js-line-number" data-line-number="701"></td>
<td id="LC701" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L702" class="blob-num js-line-number" data-line-number="702"></td>
<td id="LC702" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L703" class="blob-num js-line-number" data-line-number="703"></td>
<td id="LC703" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._state_size</td>
</tr>
<tr>
<td id="L704" class="blob-num js-line-number" data-line-number="704"></td>
<td id="LC704" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L705" class="blob-num js-line-number" data-line-number="705"></td>
<td id="LC705" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L706" class="blob-num js-line-number" data-line-number="706"></td>
<td id="LC706" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L707" class="blob-num js-line-number" data-line-number="707"></td>
<td id="LC707" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._output_size</td>
</tr>
<tr>
<td id="L708" class="blob-num js-line-number" data-line-number="708"></td>
<td id="LC708" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L709" class="blob-num js-line-number" data-line-number="709"></td>
<td id="LC709" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">build</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs_shape</span>):</td>
</tr>
<tr>
<td id="L710" class="blob-num js-line-number" data-line-number="710"></td>
<td id="LC710" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> inputs_shape[<span class="pl-c1">1</span>].value <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L711" class="blob-num js-line-number" data-line-number="711"></td>
<td id="LC711" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Expected inputs.shape[-1] to be known, saw shape: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L712" class="blob-num js-line-number" data-line-number="712"></td>
<td id="LC712" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> inputs_shape)</td>
</tr>
<tr>
<td id="L713" class="blob-num js-line-number" data-line-number="713"></td>
<td id="LC713" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L714" class="blob-num js-line-number" data-line-number="714"></td>
<td id="LC714" class="blob-code blob-code-inner js-file-line"> input_depth <span class="pl-k">=</span> inputs_shape[<span class="pl-c1">1</span>].value</td>
</tr>
<tr>
<td id="L715" class="blob-num js-line-number" data-line-number="715"></td>
<td id="LC715" class="blob-code blob-code-inner js-file-line"> h_depth <span class="pl-k">=</span> <span class="pl-c1">self</span>._num_units <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_proj <span class="pl-k">is</span> <span class="pl-c1">None</span> <span class="pl-k">else</span> <span class="pl-c1">self</span>._num_proj</td>
</tr>
<tr>
<td id="L716" class="blob-num js-line-number" data-line-number="716"></td>
<td id="LC716" class="blob-code blob-code-inner js-file-line"> maybe_partitioner <span class="pl-k">=</span> (</td>
</tr>
<tr>
<td id="L717" class="blob-num js-line-number" data-line-number="717"></td>
<td id="LC717" class="blob-code blob-code-inner js-file-line"> partitioned_variables.fixed_size_partitioner(<span class="pl-c1">self</span>._num_unit_shards)</td>
</tr>
<tr>
<td id="L718" class="blob-num js-line-number" data-line-number="718"></td>
<td id="LC718" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_unit_shards <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L719" class="blob-num js-line-number" data-line-number="719"></td>
<td id="LC719" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span> <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L720" class="blob-num js-line-number" data-line-number="720"></td>
<td id="LC720" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L721" class="blob-num js-line-number" data-line-number="721"></td>
<td id="LC721" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L722" class="blob-num js-line-number" data-line-number="722"></td>
<td id="LC722" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[input_depth <span class="pl-k">+</span> h_depth, <span class="pl-c1">4</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L723" class="blob-num js-line-number" data-line-number="723"></td>
<td id="LC723" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._initializer,</td>
</tr>
<tr>
<td id="L724" class="blob-num js-line-number" data-line-number="724"></td>
<td id="LC724" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">partitioner</span><span class="pl-k">=</span>maybe_partitioner)</td>
</tr>
<tr>
<td id="L725" class="blob-num js-line-number" data-line-number="725"></td>
<td id="LC725" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._bias <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L726" class="blob-num js-line-number" data-line-number="726"></td>
<td id="LC726" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">_BIAS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L727" class="blob-num js-line-number" data-line-number="727"></td>
<td id="LC727" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">4</span> <span class="pl-k">*</span> <span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L728" class="blob-num js-line-number" data-line-number="728"></td>
<td id="LC728" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span>init_ops.zeros_initializer(<span class="pl-v">dtype</span><span class="pl-k">=</span><span class="pl-c1">self</span>.dtype))</td>
</tr>
<tr>
<td id="L729" class="blob-num js-line-number" data-line-number="729"></td>
<td id="LC729" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._use_peepholes:</td>
</tr>
<tr>
<td id="L730" class="blob-num js-line-number" data-line-number="730"></td>
<td id="LC730" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._w_f_diag <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(<span class="pl-s"><span class="pl-pds">"</span>w_f_diag<span class="pl-pds">"</span></span>, <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L731" class="blob-num js-line-number" data-line-number="731"></td>
<td id="LC731" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._initializer)</td>
</tr>
<tr>
<td id="L732" class="blob-num js-line-number" data-line-number="732"></td>
<td id="LC732" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._w_i_diag <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(<span class="pl-s"><span class="pl-pds">"</span>w_i_diag<span class="pl-pds">"</span></span>, <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L733" class="blob-num js-line-number" data-line-number="733"></td>
<td id="LC733" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._initializer)</td>
</tr>
<tr>
<td id="L734" class="blob-num js-line-number" data-line-number="734"></td>
<td id="LC734" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._w_o_diag <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(<span class="pl-s"><span class="pl-pds">"</span>w_o_diag<span class="pl-pds">"</span></span>, <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units],</td>
</tr>
<tr>
<td id="L735" class="blob-num js-line-number" data-line-number="735"></td>
<td id="LC735" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._initializer)</td>
</tr>
<tr>
<td id="L736" class="blob-num js-line-number" data-line-number="736"></td>
<td id="LC736" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L737" class="blob-num js-line-number" data-line-number="737"></td>
<td id="LC737" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_proj <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L738" class="blob-num js-line-number" data-line-number="738"></td>
<td id="LC738" class="blob-code blob-code-inner js-file-line"> maybe_proj_partitioner <span class="pl-k">=</span> (</td>
</tr>
<tr>
<td id="L739" class="blob-num js-line-number" data-line-number="739"></td>
<td id="LC739" class="blob-code blob-code-inner js-file-line"> partitioned_variables.fixed_size_partitioner(<span class="pl-c1">self</span>._num_proj_shards)</td>
</tr>
<tr>
<td id="L740" class="blob-num js-line-number" data-line-number="740"></td>
<td id="LC740" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_proj_shards <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L741" class="blob-num js-line-number" data-line-number="741"></td>
<td id="LC741" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span> <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L742" class="blob-num js-line-number" data-line-number="742"></td>
<td id="LC742" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._proj_kernel <span class="pl-k">=</span> <span class="pl-c1">self</span>.add_variable(</td>
</tr>
<tr>
<td id="L743" class="blob-num js-line-number" data-line-number="743"></td>
<td id="LC743" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>projection/<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> <span class="pl-c1">_WEIGHTS_VARIABLE_NAME</span>,</td>
</tr>
<tr>
<td id="L744" class="blob-num js-line-number" data-line-number="744"></td>
<td id="LC744" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">shape</span><span class="pl-k">=</span>[<span class="pl-c1">self</span>._num_units, <span class="pl-c1">self</span>._num_proj],</td>
</tr>
<tr>
<td id="L745" class="blob-num js-line-number" data-line-number="745"></td>
<td id="LC745" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">initializer</span><span class="pl-k">=</span><span class="pl-c1">self</span>._initializer,</td>
</tr>
<tr>
<td id="L746" class="blob-num js-line-number" data-line-number="746"></td>
<td id="LC746" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">partitioner</span><span class="pl-k">=</span>maybe_proj_partitioner)</td>
</tr>
<tr>
<td id="L747" class="blob-num js-line-number" data-line-number="747"></td>
<td id="LC747" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L748" class="blob-num js-line-number" data-line-number="748"></td>
<td id="LC748" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>.built <span class="pl-k">=</span> <span class="pl-c1">True</span></td>
</tr>
<tr>
<td id="L749" class="blob-num js-line-number" data-line-number="749"></td>
<td id="LC749" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L750" class="blob-num js-line-number" data-line-number="750"></td>
<td id="LC750" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">call</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>):</td>
</tr>
<tr>
<td id="L751" class="blob-num js-line-number" data-line-number="751"></td>
<td id="LC751" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run one step of LSTM.</span></td>
</tr>
<tr>
<td id="L752" class="blob-num js-line-number" data-line-number="752"></td>
<td id="LC752" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L753" class="blob-num js-line-number" data-line-number="753"></td>
<td id="LC753" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L754" class="blob-num js-line-number" data-line-number="754"></td>
<td id="LC754" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> inputs: input Tensor, 2D, `[batch, num_units].</span></td>
</tr>
<tr>
<td id="L755" class="blob-num js-line-number" data-line-number="755"></td>
<td id="LC755" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state: if `state_is_tuple` is False, this must be a state Tensor,</span></td>
</tr>
<tr>
<td id="L756" class="blob-num js-line-number" data-line-number="756"></td>
<td id="LC756" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `2-D, [batch, state_size]`. If `state_is_tuple` is True, this must be a</span></td>
</tr>
<tr>
<td id="L757" class="blob-num js-line-number" data-line-number="757"></td>
<td id="LC757" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> tuple of state Tensors, both `2-D`, with column sizes `c_state` and</span></td>
</tr>
<tr>
<td id="L758" class="blob-num js-line-number" data-line-number="758"></td>
<td id="LC758" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `m_state`.</span></td>
</tr>
<tr>
<td id="L759" class="blob-num js-line-number" data-line-number="759"></td>
<td id="LC759" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L760" class="blob-num js-line-number" data-line-number="760"></td>
<td id="LC760" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L761" class="blob-num js-line-number" data-line-number="761"></td>
<td id="LC761" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> A tuple containing:</span></td>
</tr>
<tr>
<td id="L762" class="blob-num js-line-number" data-line-number="762"></td>
<td id="LC762" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L763" class="blob-num js-line-number" data-line-number="763"></td>
<td id="LC763" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - A `2-D, [batch, output_dim]`, Tensor representing the output of the</span></td>
</tr>
<tr>
<td id="L764" class="blob-num js-line-number" data-line-number="764"></td>
<td id="LC764" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> LSTM after reading `inputs` when previous state was `state`.</span></td>
</tr>
<tr>
<td id="L765" class="blob-num js-line-number" data-line-number="765"></td>
<td id="LC765" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Here output_dim is:</span></td>
</tr>
<tr>
<td id="L766" class="blob-num js-line-number" data-line-number="766"></td>
<td id="LC766" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_proj if num_proj was set,</span></td>
</tr>
<tr>
<td id="L767" class="blob-num js-line-number" data-line-number="767"></td>
<td id="LC767" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> num_units otherwise.</span></td>
</tr>
<tr>
<td id="L768" class="blob-num js-line-number" data-line-number="768"></td>
<td id="LC768" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> - Tensor(s) representing the new state of LSTM after reading `inputs` when</span></td>
</tr>
<tr>
<td id="L769" class="blob-num js-line-number" data-line-number="769"></td>
<td id="LC769" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the previous state was `state`. Same type and shape(s) as `state`.</span></td>
</tr>
<tr>
<td id="L770" class="blob-num js-line-number" data-line-number="770"></td>
<td id="LC770" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L771" class="blob-num js-line-number" data-line-number="771"></td>
<td id="LC771" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
</tr>
<tr>
<td id="L772" class="blob-num js-line-number" data-line-number="772"></td>
<td id="LC772" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: If input size cannot be inferred from inputs via</span></td>
</tr>
<tr>
<td id="L773" class="blob-num js-line-number" data-line-number="773"></td>
<td id="LC773" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> static shape inference.</span></td>
</tr>
<tr>
<td id="L774" class="blob-num js-line-number" data-line-number="774"></td>
<td id="LC774" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L775" class="blob-num js-line-number" data-line-number="775"></td>
<td id="LC775" class="blob-code blob-code-inner js-file-line"> num_proj <span class="pl-k">=</span> <span class="pl-c1">self</span>._num_units <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_proj <span class="pl-k">is</span> <span class="pl-c1">None</span> <span class="pl-k">else</span> <span class="pl-c1">self</span>._num_proj</td>
</tr>
<tr>
<td id="L776" class="blob-num js-line-number" data-line-number="776"></td>
<td id="LC776" class="blob-code blob-code-inner js-file-line"> sigmoid <span class="pl-k">=</span> math_ops.sigmoid</td>
</tr>
<tr>
<td id="L777" class="blob-num js-line-number" data-line-number="777"></td>
<td id="LC777" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L778" class="blob-num js-line-number" data-line-number="778"></td>
<td id="LC778" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
</tr>
<tr>
<td id="L779" class="blob-num js-line-number" data-line-number="779"></td>
<td id="LC779" class="blob-code blob-code-inner js-file-line"> (c_prev, m_prev) <span class="pl-k">=</span> state</td>
</tr>
<tr>
<td id="L780" class="blob-num js-line-number" data-line-number="780"></td>
<td id="LC780" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L781" class="blob-num js-line-number" data-line-number="781"></td>
<td id="LC781" class="blob-code blob-code-inner js-file-line"> c_prev <span class="pl-k">=</span> array_ops.slice(state, [<span class="pl-c1">0</span>, <span class="pl-c1">0</span>], [<span class="pl-k">-</span><span class="pl-c1">1</span>, <span class="pl-c1">self</span>._num_units])</td>
</tr>
<tr>
<td id="L782" class="blob-num js-line-number" data-line-number="782"></td>
<td id="LC782" class="blob-code blob-code-inner js-file-line"> m_prev <span class="pl-k">=</span> array_ops.slice(state, [<span class="pl-c1">0</span>, <span class="pl-c1">self</span>._num_units], [<span class="pl-k">-</span><span class="pl-c1">1</span>, num_proj])</td>
</tr>
<tr>
<td id="L783" class="blob-num js-line-number" data-line-number="783"></td>
<td id="LC783" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L784" class="blob-num js-line-number" data-line-number="784"></td>
<td id="LC784" class="blob-code blob-code-inner js-file-line"> input_size <span class="pl-k">=</span> inputs.get_shape().with_rank(<span class="pl-c1">2</span>)[<span class="pl-c1">1</span>]</td>
</tr>
<tr>
<td id="L785" class="blob-num js-line-number" data-line-number="785"></td>
<td id="LC785" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> input_size.value <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L786" class="blob-num js-line-number" data-line-number="786"></td>
<td id="LC786" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Could not infer input size from inputs.get_shape()[-1]<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L787" class="blob-num js-line-number" data-line-number="787"></td>
<td id="LC787" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L788" class="blob-num js-line-number" data-line-number="788"></td>
<td id="LC788" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> i = input_gate, j = new_input, f = forget_gate, o = output_gate</span></td>
</tr>
<tr>
<td id="L789" class="blob-num js-line-number" data-line-number="789"></td>
<td id="LC789" class="blob-code blob-code-inner js-file-line"> lstm_matrix <span class="pl-k">=</span> math_ops.matmul(</td>
</tr>
<tr>
<td id="L790" class="blob-num js-line-number" data-line-number="790"></td>
<td id="LC790" class="blob-code blob-code-inner js-file-line"> array_ops.concat([inputs, m_prev], <span class="pl-c1">1</span>), <span class="pl-c1">self</span>._kernel)</td>
</tr>
<tr>
<td id="L791" class="blob-num js-line-number" data-line-number="791"></td>
<td id="LC791" class="blob-code blob-code-inner js-file-line"> lstm_matrix <span class="pl-k">=</span> nn_ops.bias_add(lstm_matrix, <span class="pl-c1">self</span>._bias)</td>
</tr>
<tr>
<td id="L792" class="blob-num js-line-number" data-line-number="792"></td>
<td id="LC792" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L793" class="blob-num js-line-number" data-line-number="793"></td>
<td id="LC793" class="blob-code blob-code-inner js-file-line"> i, j, f, o <span class="pl-k">=</span> array_ops.split(</td>
</tr>
<tr>
<td id="L794" class="blob-num js-line-number" data-line-number="794"></td>
<td id="LC794" class="blob-code blob-code-inner js-file-line"> <span class="pl-v">value</span><span class="pl-k">=</span>lstm_matrix, <span class="pl-v">num_or_size_splits</span><span class="pl-k">=</span><span class="pl-c1">4</span>, <span class="pl-v">axis</span><span class="pl-k">=</span><span class="pl-c1">1</span>)</td>
</tr>
<tr>
<td id="L795" class="blob-num js-line-number" data-line-number="795"></td>
<td id="LC795" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Diagonal connections</span></td>
</tr>
<tr>
<td id="L796" class="blob-num js-line-number" data-line-number="796"></td>
<td id="LC796" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._use_peepholes:</td>
</tr>
<tr>
<td id="L797" class="blob-num js-line-number" data-line-number="797"></td>
<td id="LC797" class="blob-code blob-code-inner js-file-line"> c <span class="pl-k">=</span> (sigmoid(f <span class="pl-k">+</span> <span class="pl-c1">self</span>._forget_bias <span class="pl-k">+</span> <span class="pl-c1">self</span>._w_f_diag <span class="pl-k">*</span> c_prev) <span class="pl-k">*</span> c_prev <span class="pl-k">+</span></td>
</tr>
<tr>
<td id="L798" class="blob-num js-line-number" data-line-number="798"></td>
<td id="LC798" class="blob-code blob-code-inner js-file-line"> sigmoid(i <span class="pl-k">+</span> <span class="pl-c1">self</span>._w_i_diag <span class="pl-k">*</span> c_prev) <span class="pl-k">*</span> <span class="pl-c1">self</span>._activation(j))</td>
</tr>
<tr>
<td id="L799" class="blob-num js-line-number" data-line-number="799"></td>
<td id="LC799" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L800" class="blob-num js-line-number" data-line-number="800"></td>
<td id="LC800" class="blob-code blob-code-inner js-file-line"> c <span class="pl-k">=</span> (sigmoid(f <span class="pl-k">+</span> <span class="pl-c1">self</span>._forget_bias) <span class="pl-k">*</span> c_prev <span class="pl-k">+</span> sigmoid(i) <span class="pl-k">*</span></td>
</tr>
<tr>
<td id="L801" class="blob-num js-line-number" data-line-number="801"></td>
<td id="LC801" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._activation(j))</td>
</tr>
<tr>
<td id="L802" class="blob-num js-line-number" data-line-number="802"></td>
<td id="LC802" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L803" class="blob-num js-line-number" data-line-number="803"></td>
<td id="LC803" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._cell_clip <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L804" class="blob-num js-line-number" data-line-number="804"></td>
<td id="LC804" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> pylint: disable=invalid-unary-operand-type</span></td>
</tr>
<tr>
<td id="L805" class="blob-num js-line-number" data-line-number="805"></td>
<td id="LC805" class="blob-code blob-code-inner js-file-line"> c <span class="pl-k">=</span> clip_ops.clip_by_value(c, <span class="pl-k">-</span><span class="pl-c1">self</span>._cell_clip, <span class="pl-c1">self</span>._cell_clip)</td>
</tr>
<tr>
<td id="L806" class="blob-num js-line-number" data-line-number="806"></td>
<td id="LC806" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> pylint: enable=invalid-unary-operand-type</span></td>
</tr>
<tr>
<td id="L807" class="blob-num js-line-number" data-line-number="807"></td>
<td id="LC807" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._use_peepholes:</td>
</tr>
<tr>
<td id="L808" class="blob-num js-line-number" data-line-number="808"></td>
<td id="LC808" class="blob-code blob-code-inner js-file-line"> m <span class="pl-k">=</span> sigmoid(o <span class="pl-k">+</span> <span class="pl-c1">self</span>._w_o_diag <span class="pl-k">*</span> c) <span class="pl-k">*</span> <span class="pl-c1">self</span>._activation(c)</td>
</tr>
<tr>
<td id="L809" class="blob-num js-line-number" data-line-number="809"></td>
<td id="LC809" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L810" class="blob-num js-line-number" data-line-number="810"></td>
<td id="LC810" class="blob-code blob-code-inner js-file-line"> m <span class="pl-k">=</span> sigmoid(o) <span class="pl-k">*</span> <span class="pl-c1">self</span>._activation(c)</td>
</tr>
<tr>
<td id="L811" class="blob-num js-line-number" data-line-number="811"></td>
<td id="LC811" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L812" class="blob-num js-line-number" data-line-number="812"></td>
<td id="LC812" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._num_proj <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L813" class="blob-num js-line-number" data-line-number="813"></td>
<td id="LC813" class="blob-code blob-code-inner js-file-line"> m <span class="pl-k">=</span> math_ops.matmul(m, <span class="pl-c1">self</span>._proj_kernel)</td>
</tr>
<tr>
<td id="L814" class="blob-num js-line-number" data-line-number="814"></td>
<td id="LC814" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L815" class="blob-num js-line-number" data-line-number="815"></td>
<td id="LC815" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._proj_clip <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L816" class="blob-num js-line-number" data-line-number="816"></td>
<td id="LC816" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> pylint: disable=invalid-unary-operand-type</span></td>
</tr>
<tr>
<td id="L817" class="blob-num js-line-number" data-line-number="817"></td>
<td id="LC817" class="blob-code blob-code-inner js-file-line"> m <span class="pl-k">=</span> clip_ops.clip_by_value(m, <span class="pl-k">-</span><span class="pl-c1">self</span>._proj_clip, <span class="pl-c1">self</span>._proj_clip)</td>
</tr>
<tr>
<td id="L818" class="blob-num js-line-number" data-line-number="818"></td>
<td id="LC818" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> pylint: enable=invalid-unary-operand-type</span></td>
</tr>
<tr>
<td id="L819" class="blob-num js-line-number" data-line-number="819"></td>
<td id="LC819" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L820" class="blob-num js-line-number" data-line-number="820"></td>
<td id="LC820" class="blob-code blob-code-inner js-file-line"> new_state <span class="pl-k">=</span> (LSTMStateTuple(c, m) <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">else</span></td>
</tr>
<tr>
<td id="L821" class="blob-num js-line-number" data-line-number="821"></td>
<td id="LC821" class="blob-code blob-code-inner js-file-line"> array_ops.concat([c, m], <span class="pl-c1">1</span>))</td>
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<tr>
<td id="L822" class="blob-num js-line-number" data-line-number="822"></td>
<td id="LC822" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> m, new_state</td>
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<td id="L823" class="blob-num js-line-number" data-line-number="823"></td>
<td id="LC823" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L824" class="blob-num js-line-number" data-line-number="824"></td>
<td id="LC824" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L825" class="blob-num js-line-number" data-line-number="825"></td>
<td id="LC825" class="blob-code blob-code-inner js-file-line"><span class="pl-k">def</span> <span class="pl-en">_enumerated_map_structure_up_to</span>(<span class="pl-smi">shallow_structure</span>, <span class="pl-smi">map_fn</span>, <span class="pl-k">*</span><span class="pl-smi">args</span>, <span class="pl-k">**</span><span class="pl-smi">kwargs</span>):</td>
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<td id="L826" class="blob-num js-line-number" data-line-number="826"></td>
<td id="LC826" class="blob-code blob-code-inner js-file-line"> ix <span class="pl-k">=</span> [<span class="pl-c1">0</span>]</td>
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<td id="L827" class="blob-num js-line-number" data-line-number="827"></td>
<td id="LC827" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">enumerated_fn</span>(<span class="pl-k">*</span><span class="pl-smi">inner_args</span>, <span class="pl-k">**</span><span class="pl-smi">inner_kwargs</span>):</td>
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<td id="L828" class="blob-num js-line-number" data-line-number="828"></td>
<td id="LC828" class="blob-code blob-code-inner js-file-line"> r <span class="pl-k">=</span> map_fn(ix[<span class="pl-c1">0</span>], <span class="pl-k">*</span>inner_args, <span class="pl-k">**</span>inner_kwargs)</td>
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<td id="L829" class="blob-num js-line-number" data-line-number="829"></td>
<td id="LC829" class="blob-code blob-code-inner js-file-line"> ix[<span class="pl-c1">0</span>] <span class="pl-k">+=</span> <span class="pl-c1">1</span></td>
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<td id="L830" class="blob-num js-line-number" data-line-number="830"></td>
<td id="LC830" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> r</td>
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<td id="L831" class="blob-num js-line-number" data-line-number="831"></td>
<td id="LC831" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> nest.map_structure_up_to(shallow_structure,</td>
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<td id="L832" class="blob-num js-line-number" data-line-number="832"></td>
<td id="LC832" class="blob-code blob-code-inner js-file-line"> enumerated_fn, <span class="pl-k">*</span>args, <span class="pl-k">**</span>kwargs)</td>
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<td id="L833" class="blob-num js-line-number" data-line-number="833"></td>
<td id="LC833" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L834" class="blob-num js-line-number" data-line-number="834"></td>
<td id="LC834" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L835" class="blob-num js-line-number" data-line-number="835"></td>
<td id="LC835" class="blob-code blob-code-inner js-file-line"><span class="pl-k">def</span> <span class="pl-en">_default_dropout_state_filter_visitor</span>(<span class="pl-smi">substate</span>):</td>
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<td id="L836" class="blob-num js-line-number" data-line-number="836"></td>
<td id="LC836" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">isinstance</span>(substate, LSTMStateTuple):</td>
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<td id="L837" class="blob-num js-line-number" data-line-number="837"></td>
<td id="LC837" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Do not perform dropout on the memory state.</span></td>
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<td id="L838" class="blob-num js-line-number" data-line-number="838"></td>
<td id="LC838" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> LSTMStateTuple(<span class="pl-v">c</span><span class="pl-k">=</span><span class="pl-c1">False</span>, <span class="pl-v">h</span><span class="pl-k">=</span><span class="pl-c1">True</span>)</td>
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<td id="L839" class="blob-num js-line-number" data-line-number="839"></td>
<td id="LC839" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">elif</span> <span class="pl-c1">isinstance</span>(substate, tensor_array_ops.TensorArray):</td>
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<td id="L840" class="blob-num js-line-number" data-line-number="840"></td>
<td id="LC840" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">False</span></td>
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<td id="L841" class="blob-num js-line-number" data-line-number="841"></td>
<td id="LC841" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">True</span></td>
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<td id="L842" class="blob-num js-line-number" data-line-number="842"></td>
<td id="LC842" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L843" class="blob-num js-line-number" data-line-number="843"></td>
<td id="LC843" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L844" class="blob-num js-line-number" data-line-number="844"></td>
<td id="LC844" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.DropoutWrapper<span class="pl-pds">"</span></span>)</td>
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<td id="L845" class="blob-num js-line-number" data-line-number="845"></td>
<td id="LC845" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">DropoutWrapper</span>(<span class="pl-e">RNNCell</span>):</td>
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<td id="L846" class="blob-num js-line-number" data-line-number="846"></td>
<td id="LC846" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Operator adding dropout to inputs and outputs of the given cell.<span class="pl-pds">"""</span></span></td>
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<td id="L847" class="blob-num js-line-number" data-line-number="847"></td>
<td id="LC847" class="blob-code blob-code-inner js-file-line">
</td>
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<td id="L848" class="blob-num js-line-number" data-line-number="848"></td>
<td id="LC848" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">cell</span>, <span class="pl-smi">input_keep_prob</span><span class="pl-k">=</span><span class="pl-c1">1.0</span>, <span class="pl-smi">output_keep_prob</span><span class="pl-k">=</span><span class="pl-c1">1.0</span>,</td>
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<td id="L849" class="blob-num js-line-number" data-line-number="849"></td>
<td id="LC849" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">state_keep_prob</span><span class="pl-k">=</span><span class="pl-c1">1.0</span>, <span class="pl-smi">variational_recurrent</span><span class="pl-k">=</span><span class="pl-c1">False</span>,</td>
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<td id="L850" class="blob-num js-line-number" data-line-number="850"></td>
<td id="LC850" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">input_size</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">dtype</span><span class="pl-k">=</span><span class="pl-c1">None</span>, <span class="pl-smi">seed</span><span class="pl-k">=</span><span class="pl-c1">None</span>,</td>
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<td id="L851" class="blob-num js-line-number" data-line-number="851"></td>
<td id="LC851" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">dropout_state_filter_visitor</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
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<td id="L852" class="blob-num js-line-number" data-line-number="852"></td>
<td id="LC852" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Create a cell with added input, state, and/or output dropout.</span></td>
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<td id="L853" class="blob-num js-line-number" data-line-number="853"></td>
<td id="LC853" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L854" class="blob-num js-line-number" data-line-number="854"></td>
<td id="LC854" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> If `variational_recurrent` is set to `True` (**NOT** the default behavior),</span></td>
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<td id="L855" class="blob-num js-line-number" data-line-number="855"></td>
<td id="LC855" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> then the same dropout mask is applied at every step, as described in:</span></td>
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<td id="L856" class="blob-num js-line-number" data-line-number="856"></td>
<td id="LC856" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
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<td id="L857" class="blob-num js-line-number" data-line-number="857"></td>
<td id="LC857" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Y. Gal, Z Ghahramani. "A Theoretically Grounded Application of Dropout in</span></td>
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<tr>
<td id="L858" class="blob-num js-line-number" data-line-number="858"></td>
<td id="LC858" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Recurrent Neural Networks". https://arxiv.org/abs/1512.05287</span></td>
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<tr>
<td id="L859" class="blob-num js-line-number" data-line-number="859"></td>
<td id="LC859" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L860" class="blob-num js-line-number" data-line-number="860"></td>
<td id="LC860" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Otherwise a different dropout mask is applied at every time step.</span></td>
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<td id="L861" class="blob-num js-line-number" data-line-number="861"></td>
<td id="LC861" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
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<td id="L862" class="blob-num js-line-number" data-line-number="862"></td>
<td id="LC862" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Note, by default (unless a custom `dropout_state_filter` is provided),</span></td>
</tr>
<tr>
<td id="L863" class="blob-num js-line-number" data-line-number="863"></td>
<td id="LC863" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the memory state (`c` component of any `LSTMStateTuple`) passing through</span></td>
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<tr>
<td id="L864" class="blob-num js-line-number" data-line-number="864"></td>
<td id="LC864" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> a `DropoutWrapper` is never modified. This behavior is described in the</span></td>
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<tr>
<td id="L865" class="blob-num js-line-number" data-line-number="865"></td>
<td id="LC865" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> above article.</span></td>
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<tr>
<td id="L866" class="blob-num js-line-number" data-line-number="866"></td>
<td id="LC866" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L867" class="blob-num js-line-number" data-line-number="867"></td>
<td id="LC867" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L868" class="blob-num js-line-number" data-line-number="868"></td>
<td id="LC868" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cell: an RNNCell, a projection to output_size is added to it.</span></td>
</tr>
<tr>
<td id="L869" class="blob-num js-line-number" data-line-number="869"></td>
<td id="LC869" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> input_keep_prob: unit Tensor or float between 0 and 1, input keep</span></td>
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<td id="L870" class="blob-num js-line-number" data-line-number="870"></td>
<td id="LC870" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> probability; if it is constant and 1, no input dropout will be added.</span></td>
</tr>
<tr>
<td id="L871" class="blob-num js-line-number" data-line-number="871"></td>
<td id="LC871" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> output_keep_prob: unit Tensor or float between 0 and 1, output keep</span></td>
</tr>
<tr>
<td id="L872" class="blob-num js-line-number" data-line-number="872"></td>
<td id="LC872" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> probability; if it is constant and 1, no output dropout will be added.</span></td>
</tr>
<tr>
<td id="L873" class="blob-num js-line-number" data-line-number="873"></td>
<td id="LC873" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state_keep_prob: unit Tensor or float between 0 and 1, output keep</span></td>
</tr>
<tr>
<td id="L874" class="blob-num js-line-number" data-line-number="874"></td>
<td id="LC874" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> probability; if it is constant and 1, no output dropout will be added.</span></td>
</tr>
<tr>
<td id="L875" class="blob-num js-line-number" data-line-number="875"></td>
<td id="LC875" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> State dropout is performed on the outgoing states of the cell.</span></td>
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<tr>
<td id="L876" class="blob-num js-line-number" data-line-number="876"></td>
<td id="LC876" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> **Note** the state components to which dropout is applied when</span></td>
</tr>
<tr>
<td id="L877" class="blob-num js-line-number" data-line-number="877"></td>
<td id="LC877" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `state_keep_prob` is in `(0, 1)` are also determined by</span></td>
</tr>
<tr>
<td id="L878" class="blob-num js-line-number" data-line-number="878"></td>
<td id="LC878" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the argument `dropout_state_filter_visitor` (e.g. by default dropout</span></td>
</tr>
<tr>
<td id="L879" class="blob-num js-line-number" data-line-number="879"></td>
<td id="LC879" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> is never applied to the `c` component of an `LSTMStateTuple`).</span></td>
</tr>
<tr>
<td id="L880" class="blob-num js-line-number" data-line-number="880"></td>
<td id="LC880" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> variational_recurrent: Python bool. If `True`, then the same</span></td>
</tr>
<tr>
<td id="L881" class="blob-num js-line-number" data-line-number="881"></td>
<td id="LC881" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> dropout pattern is applied across all time steps per run call.</span></td>
</tr>
<tr>
<td id="L882" class="blob-num js-line-number" data-line-number="882"></td>
<td id="LC882" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> If this parameter is set, `input_size` **must** be provided.</span></td>
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<td id="L883" class="blob-num js-line-number" data-line-number="883"></td>
<td id="LC883" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> input_size: (optional) (possibly nested tuple of) `TensorShape` objects</span></td>
</tr>
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<td id="L884" class="blob-num js-line-number" data-line-number="884"></td>
<td id="LC884" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> containing the depth(s) of the input tensors expected to be passed in to</span></td>
</tr>
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<td id="L885" class="blob-num js-line-number" data-line-number="885"></td>
<td id="LC885" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the `DropoutWrapper`. Required and used **iff**</span></td>
</tr>
<tr>
<td id="L886" class="blob-num js-line-number" data-line-number="886"></td>
<td id="LC886" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `variational_recurrent = True` and `input_keep_prob < 1`.</span></td>
</tr>
<tr>
<td id="L887" class="blob-num js-line-number" data-line-number="887"></td>
<td id="LC887" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> dtype: (optional) The `dtype` of the input, state, and output tensors.</span></td>
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<tr>
<td id="L888" class="blob-num js-line-number" data-line-number="888"></td>
<td id="LC888" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Required and used **iff** `variational_recurrent = True`.</span></td>
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<tr>
<td id="L889" class="blob-num js-line-number" data-line-number="889"></td>
<td id="LC889" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> seed: (optional) integer, the randomness seed.</span></td>
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<td id="L890" class="blob-num js-line-number" data-line-number="890"></td>
<td id="LC890" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> dropout_state_filter_visitor: (optional), default: (see below). Function</span></td>
</tr>
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<td id="L891" class="blob-num js-line-number" data-line-number="891"></td>
<td id="LC891" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> that takes any hierarchical level of the state and returns</span></td>
</tr>
<tr>
<td id="L892" class="blob-num js-line-number" data-line-number="892"></td>
<td id="LC892" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> a scalar or depth=1 structure of Python booleans describing</span></td>
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<td id="L893" class="blob-num js-line-number" data-line-number="893"></td>
<td id="LC893" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> which terms in the state should be dropped out. In addition, if the</span></td>
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<td id="L894" class="blob-num js-line-number" data-line-number="894"></td>
<td id="LC894" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> function returns `True`, dropout is applied across this sublevel. If</span></td>
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<tr>
<td id="L895" class="blob-num js-line-number" data-line-number="895"></td>
<td id="LC895" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> the function returns `False`, dropout is not applied across this entire</span></td>
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<td id="L896" class="blob-num js-line-number" data-line-number="896"></td>
<td id="LC896" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> sublevel.</span></td>
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<tr>
<td id="L897" class="blob-num js-line-number" data-line-number="897"></td>
<td id="LC897" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Default behavior: perform dropout on all terms except the memory (`c`)</span></td>
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<tr>
<td id="L898" class="blob-num js-line-number" data-line-number="898"></td>
<td id="LC898" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state of `LSTMCellState` objects, and don't try to apply dropout to</span></td>
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<tr>
<td id="L899" class="blob-num js-line-number" data-line-number="899"></td>
<td id="LC899" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `TensorArray` objects:</span></td>
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<tr>
<td id="L900" class="blob-num js-line-number" data-line-number="900"></td>
<td id="LC900" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ```</span></td>
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<tr>
<td id="L901" class="blob-num js-line-number" data-line-number="901"></td>
<td id="LC901" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> def dropout_state_filter_visitor(s):</span></td>
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<td id="L902" class="blob-num js-line-number" data-line-number="902"></td>
<td id="LC902" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> if isinstance(s, LSTMCellState):</span></td>
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<td id="L903" class="blob-num js-line-number" data-line-number="903"></td>
<td id="LC903" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> # Never perform dropout on the c state.</span></td>
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<tr>
<td id="L904" class="blob-num js-line-number" data-line-number="904"></td>
<td id="LC904" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> return LSTMCellState(c=False, h=True)</span></td>
</tr>
<tr>
<td id="L905" class="blob-num js-line-number" data-line-number="905"></td>
<td id="LC905" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> elif isinstance(s, TensorArray):</span></td>
</tr>
<tr>
<td id="L906" class="blob-num js-line-number" data-line-number="906"></td>
<td id="LC906" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> return False</span></td>
</tr>
<tr>
<td id="L907" class="blob-num js-line-number" data-line-number="907"></td>
<td id="LC907" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> return True</span></td>
</tr>
<tr>
<td id="L908" class="blob-num js-line-number" data-line-number="908"></td>
<td id="LC908" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ```</span></td>
</tr>
<tr>
<td id="L909" class="blob-num js-line-number" data-line-number="909"></td>
<td id="LC909" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L910" class="blob-num js-line-number" data-line-number="910"></td>
<td id="LC910" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
</tr>
<tr>
<td id="L911" class="blob-num js-line-number" data-line-number="911"></td>
<td id="LC911" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> TypeError: if `cell` is not an `RNNCell`, or `keep_state_fn` is provided</span></td>
</tr>
<tr>
<td id="L912" class="blob-num js-line-number" data-line-number="912"></td>
<td id="LC912" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> but not `callable`.</span></td>
</tr>
<tr>
<td id="L913" class="blob-num js-line-number" data-line-number="913"></td>
<td id="LC913" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: if any of the keep_probs are not between 0 and 1.</span></td>
</tr>
<tr>
<td id="L914" class="blob-num js-line-number" data-line-number="914"></td>
<td id="LC914" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L915" class="blob-num js-line-number" data-line-number="915"></td>
<td id="LC915" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> _like_rnncell(cell):</td>
</tr>
<tr>
<td id="L916" class="blob-num js-line-number" data-line-number="916"></td>
<td id="LC916" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">TypeError</span>(<span class="pl-s"><span class="pl-pds">"</span>The parameter cell is not a RNNCell.<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L917" class="blob-num js-line-number" data-line-number="917"></td>
<td id="LC917" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> (dropout_state_filter_visitor <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L918" class="blob-num js-line-number" data-line-number="918"></td>
<td id="LC918" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">and</span> <span class="pl-k">not</span> <span class="pl-c1">callable</span>(dropout_state_filter_visitor)):</td>
</tr>
<tr>
<td id="L919" class="blob-num js-line-number" data-line-number="919"></td>
<td id="LC919" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">TypeError</span>(<span class="pl-s"><span class="pl-pds">"</span>dropout_state_filter_visitor must be callable<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L920" class="blob-num js-line-number" data-line-number="920"></td>
<td id="LC920" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._dropout_state_filter <span class="pl-k">=</span> (</td>
</tr>
<tr>
<td id="L921" class="blob-num js-line-number" data-line-number="921"></td>
<td id="LC921" class="blob-code blob-code-inner js-file-line"> dropout_state_filter_visitor <span class="pl-k">or</span> _default_dropout_state_filter_visitor)</td>
</tr>
<tr>
<td id="L922" class="blob-num js-line-number" data-line-number="922"></td>
<td id="LC922" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-s"><span class="pl-pds">"</span>DropoutWrapperInit<span class="pl-pds">"</span></span>):</td>
</tr>
<tr>
<td id="L923" class="blob-num js-line-number" data-line-number="923"></td>
<td id="LC923" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">tensor_and_const_value</span>(<span class="pl-smi">v</span>):</td>
</tr>
<tr>
<td id="L924" class="blob-num js-line-number" data-line-number="924"></td>
<td id="LC924" class="blob-code blob-code-inner js-file-line"> tensor_value <span class="pl-k">=</span> ops.convert_to_tensor(v)</td>
</tr>
<tr>
<td id="L925" class="blob-num js-line-number" data-line-number="925"></td>
<td id="LC925" class="blob-code blob-code-inner js-file-line"> const_value <span class="pl-k">=</span> tensor_util.constant_value(tensor_value)</td>
</tr>
<tr>
<td id="L926" class="blob-num js-line-number" data-line-number="926"></td>
<td id="LC926" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> (tensor_value, const_value)</td>
</tr>
<tr>
<td id="L927" class="blob-num js-line-number" data-line-number="927"></td>
<td id="LC927" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">for</span> prob, attr <span class="pl-k">in</span> [(input_keep_prob, <span class="pl-s"><span class="pl-pds">"</span>input_keep_prob<span class="pl-pds">"</span></span>),</td>
</tr>
<tr>
<td id="L928" class="blob-num js-line-number" data-line-number="928"></td>
<td id="LC928" class="blob-code blob-code-inner js-file-line"> (state_keep_prob, <span class="pl-s"><span class="pl-pds">"</span>state_keep_prob<span class="pl-pds">"</span></span>),</td>
</tr>
<tr>
<td id="L929" class="blob-num js-line-number" data-line-number="929"></td>
<td id="LC929" class="blob-code blob-code-inner js-file-line"> (output_keep_prob, <span class="pl-s"><span class="pl-pds">"</span>output_keep_prob<span class="pl-pds">"</span></span>)]:</td>
</tr>
<tr>
<td id="L930" class="blob-num js-line-number" data-line-number="930"></td>
<td id="LC930" class="blob-code blob-code-inner js-file-line"> tensor_prob, const_prob <span class="pl-k">=</span> tensor_and_const_value(prob)</td>
</tr>
<tr>
<td id="L931" class="blob-num js-line-number" data-line-number="931"></td>
<td id="LC931" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> const_prob <span class="pl-k">is</span> <span class="pl-k">not</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L932" class="blob-num js-line-number" data-line-number="932"></td>
<td id="LC932" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> const_prob <span class="pl-k"><</span> <span class="pl-c1">0</span> <span class="pl-k">or</span> const_prob <span class="pl-k">></span> <span class="pl-c1">1</span>:</td>
</tr>
<tr>
<td id="L933" class="blob-num js-line-number" data-line-number="933"></td>
<td id="LC933" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Parameter <span class="pl-c1">%s</span> must be between 0 and 1: <span class="pl-c1">%d</span><span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L934" class="blob-num js-line-number" data-line-number="934"></td>
<td id="LC934" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> (attr, const_prob))</td>
</tr>
<tr>
<td id="L935" class="blob-num js-line-number" data-line-number="935"></td>
<td id="LC935" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">setattr</span>(<span class="pl-c1">self</span>, <span class="pl-s"><span class="pl-pds">"</span>_<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> attr, <span class="pl-c1">float</span>(const_prob))</td>
</tr>
<tr>
<td id="L936" class="blob-num js-line-number" data-line-number="936"></td>
<td id="LC936" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L937" class="blob-num js-line-number" data-line-number="937"></td>
<td id="LC937" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">setattr</span>(<span class="pl-c1">self</span>, <span class="pl-s"><span class="pl-pds">"</span>_<span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> attr, tensor_prob)</td>
</tr>
<tr>
<td id="L938" class="blob-num js-line-number" data-line-number="938"></td>
<td id="LC938" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L939" class="blob-num js-line-number" data-line-number="939"></td>
<td id="LC939" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Set cell, variational_recurrent, seed before running the code below</span></td>
</tr>
<tr>
<td id="L940" class="blob-num js-line-number" data-line-number="940"></td>
<td id="LC940" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell <span class="pl-k">=</span> cell</td>
</tr>
<tr>
<td id="L941" class="blob-num js-line-number" data-line-number="941"></td>
<td id="LC941" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._variational_recurrent <span class="pl-k">=</span> variational_recurrent</td>
</tr>
<tr>
<td id="L942" class="blob-num js-line-number" data-line-number="942"></td>
<td id="LC942" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._seed <span class="pl-k">=</span> seed</td>
</tr>
<tr>
<td id="L943" class="blob-num js-line-number" data-line-number="943"></td>
<td id="LC943" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L944" class="blob-num js-line-number" data-line-number="944"></td>
<td id="LC944" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_input_noise <span class="pl-k">=</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L945" class="blob-num js-line-number" data-line-number="945"></td>
<td id="LC945" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_state_noise <span class="pl-k">=</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L946" class="blob-num js-line-number" data-line-number="946"></td>
<td id="LC946" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_output_noise <span class="pl-k">=</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L947" class="blob-num js-line-number" data-line-number="947"></td>
<td id="LC947" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L948" class="blob-num js-line-number" data-line-number="948"></td>
<td id="LC948" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> variational_recurrent:</td>
</tr>
<tr>
<td id="L949" class="blob-num js-line-number" data-line-number="949"></td>
<td id="LC949" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> dtype <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L950" class="blob-num js-line-number" data-line-number="950"></td>
<td id="LC950" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(</td>
</tr>
<tr>
<td id="L951" class="blob-num js-line-number" data-line-number="951"></td>
<td id="LC951" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>When variational_recurrent=True, dtype must be provided<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L952" class="blob-num js-line-number" data-line-number="952"></td>
<td id="LC952" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L953" class="blob-num js-line-number" data-line-number="953"></td>
<td id="LC953" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">convert_to_batch_shape</span>(<span class="pl-smi">s</span>):</td>
</tr>
<tr>
<td id="L954" class="blob-num js-line-number" data-line-number="954"></td>
<td id="LC954" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Prepend a 1 for the batch dimension; for recurrent</span></td>
</tr>
<tr>
<td id="L955" class="blob-num js-line-number" data-line-number="955"></td>
<td id="LC955" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> variational dropout we use the same dropout mask for all</span></td>
</tr>
<tr>
<td id="L956" class="blob-num js-line-number" data-line-number="956"></td>
<td id="LC956" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> batch elements.</span></td>
</tr>
<tr>
<td id="L957" class="blob-num js-line-number" data-line-number="957"></td>
<td id="LC957" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> array_ops.concat(</td>
</tr>
<tr>
<td id="L958" class="blob-num js-line-number" data-line-number="958"></td>
<td id="LC958" class="blob-code blob-code-inner js-file-line"> ([<span class="pl-c1">1</span>], tensor_shape.TensorShape(s).as_list()), <span class="pl-c1">0</span>)</td>
</tr>
<tr>
<td id="L959" class="blob-num js-line-number" data-line-number="959"></td>
<td id="LC959" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L960" class="blob-num js-line-number" data-line-number="960"></td>
<td id="LC960" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">batch_noise</span>(<span class="pl-smi">s</span>, <span class="pl-smi">inner_seed</span>):</td>
</tr>
<tr>
<td id="L961" class="blob-num js-line-number" data-line-number="961"></td>
<td id="LC961" class="blob-code blob-code-inner js-file-line"> shape <span class="pl-k">=</span> convert_to_batch_shape(s)</td>
</tr>
<tr>
<td id="L962" class="blob-num js-line-number" data-line-number="962"></td>
<td id="LC962" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> random_ops.random_uniform(shape, <span class="pl-v">seed</span><span class="pl-k">=</span>inner_seed, <span class="pl-v">dtype</span><span class="pl-k">=</span>dtype)</td>
</tr>
<tr>
<td id="L963" class="blob-num js-line-number" data-line-number="963"></td>
<td id="LC963" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L964" class="blob-num js-line-number" data-line-number="964"></td>
<td id="LC964" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> (<span class="pl-k">not</span> <span class="pl-c1">isinstance</span>(<span class="pl-c1">self</span>._input_keep_prob, numbers.Real) <span class="pl-k">or</span></td>
</tr>
<tr>
<td id="L965" class="blob-num js-line-number" data-line-number="965"></td>
<td id="LC965" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._input_keep_prob <span class="pl-k"><</span> <span class="pl-c1">1.0</span>):</td>
</tr>
<tr>
<td id="L966" class="blob-num js-line-number" data-line-number="966"></td>
<td id="LC966" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> input_size <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L967" class="blob-num js-line-number" data-line-number="967"></td>
<td id="LC967" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(</td>
</tr>
<tr>
<td id="L968" class="blob-num js-line-number" data-line-number="968"></td>
<td id="LC968" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>When variational_recurrent=True and input_keep_prob < 1.0 or <span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L969" class="blob-num js-line-number" data-line-number="969"></td>
<td id="LC969" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>is unknown, input_size must be provided<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L970" class="blob-num js-line-number" data-line-number="970"></td>
<td id="LC970" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_input_noise <span class="pl-k">=</span> _enumerated_map_structure_up_to(</td>
</tr>
<tr>
<td id="L971" class="blob-num js-line-number" data-line-number="971"></td>
<td id="LC971" class="blob-code blob-code-inner js-file-line"> input_size,</td>
</tr>
<tr>
<td id="L972" class="blob-num js-line-number" data-line-number="972"></td>
<td id="LC972" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">lambda</span> <span class="pl-smi">i</span>, <span class="pl-smi">s</span>: batch_noise(s, <span class="pl-v">inner_seed</span><span class="pl-k">=</span><span class="pl-c1">self</span>._gen_seed(<span class="pl-s"><span class="pl-pds">"</span>input<span class="pl-pds">"</span></span>, i)),</td>
</tr>
<tr>
<td id="L973" class="blob-num js-line-number" data-line-number="973"></td>
<td id="LC973" class="blob-code blob-code-inner js-file-line"> input_size)</td>
</tr>
<tr>
<td id="L974" class="blob-num js-line-number" data-line-number="974"></td>
<td id="LC974" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_state_noise <span class="pl-k">=</span> _enumerated_map_structure_up_to(</td>
</tr>
<tr>
<td id="L975" class="blob-num js-line-number" data-line-number="975"></td>
<td id="LC975" class="blob-code blob-code-inner js-file-line"> cell.state_size,</td>
</tr>
<tr>
<td id="L976" class="blob-num js-line-number" data-line-number="976"></td>
<td id="LC976" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">lambda</span> <span class="pl-smi">i</span>, <span class="pl-smi">s</span>: batch_noise(s, <span class="pl-v">inner_seed</span><span class="pl-k">=</span><span class="pl-c1">self</span>._gen_seed(<span class="pl-s"><span class="pl-pds">"</span>state<span class="pl-pds">"</span></span>, i)),</td>
</tr>
<tr>
<td id="L977" class="blob-num js-line-number" data-line-number="977"></td>
<td id="LC977" class="blob-code blob-code-inner js-file-line"> cell.state_size)</td>
</tr>
<tr>
<td id="L978" class="blob-num js-line-number" data-line-number="978"></td>
<td id="LC978" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_output_noise <span class="pl-k">=</span> _enumerated_map_structure_up_to(</td>
</tr>
<tr>
<td id="L979" class="blob-num js-line-number" data-line-number="979"></td>
<td id="LC979" class="blob-code blob-code-inner js-file-line"> cell.output_size,</td>
</tr>
<tr>
<td id="L980" class="blob-num js-line-number" data-line-number="980"></td>
<td id="LC980" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">lambda</span> <span class="pl-smi">i</span>, <span class="pl-smi">s</span>: batch_noise(s, <span class="pl-v">inner_seed</span><span class="pl-k">=</span><span class="pl-c1">self</span>._gen_seed(<span class="pl-s"><span class="pl-pds">"</span>output<span class="pl-pds">"</span></span>, i)),</td>
</tr>
<tr>
<td id="L981" class="blob-num js-line-number" data-line-number="981"></td>
<td id="LC981" class="blob-code blob-code-inner js-file-line"> cell.output_size)</td>
</tr>
<tr>
<td id="L982" class="blob-num js-line-number" data-line-number="982"></td>
<td id="LC982" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L983" class="blob-num js-line-number" data-line-number="983"></td>
<td id="LC983" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">_gen_seed</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">salt_prefix</span>, <span class="pl-smi">index</span>):</td>
</tr>
<tr>
<td id="L984" class="blob-num js-line-number" data-line-number="984"></td>
<td id="LC984" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._seed <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L985" class="blob-num js-line-number" data-line-number="985"></td>
<td id="LC985" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">None</span></td>
</tr>
<tr>
<td id="L986" class="blob-num js-line-number" data-line-number="986"></td>
<td id="LC986" class="blob-code blob-code-inner js-file-line"> salt <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span><span class="pl-c1">%s</span>_<span class="pl-c1">%d</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> (salt_prefix, index)</td>
</tr>
<tr>
<td id="L987" class="blob-num js-line-number" data-line-number="987"></td>
<td id="LC987" class="blob-code blob-code-inner js-file-line"> string <span class="pl-k">=</span> (<span class="pl-c1">str</span>(<span class="pl-c1">self</span>._seed) <span class="pl-k">+</span> salt).encode(<span class="pl-s"><span class="pl-pds">"</span>utf-8<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L988" class="blob-num js-line-number" data-line-number="988"></td>
<td id="LC988" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">int</span>(hashlib.md5(string).hexdigest()[:<span class="pl-c1">8</span>], <span class="pl-c1">16</span>) <span class="pl-k">&</span> <span class="pl-c1"><span class="pl-k">0x</span>7FFFFFFF</span></td>
</tr>
<tr>
<td id="L989" class="blob-num js-line-number" data-line-number="989"></td>
<td id="LC989" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L990" class="blob-num js-line-number" data-line-number="990"></td>
<td id="LC990" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L991" class="blob-num js-line-number" data-line-number="991"></td>
<td id="LC991" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">wrapped_cell</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L992" class="blob-num js-line-number" data-line-number="992"></td>
<td id="LC992" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell</td>
</tr>
<tr>
<td id="L993" class="blob-num js-line-number" data-line-number="993"></td>
<td id="LC993" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L994" class="blob-num js-line-number" data-line-number="994"></td>
<td id="LC994" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L995" class="blob-num js-line-number" data-line-number="995"></td>
<td id="LC995" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L996" class="blob-num js-line-number" data-line-number="996"></td>
<td id="LC996" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.state_size</td>
</tr>
<tr>
<td id="L997" class="blob-num js-line-number" data-line-number="997"></td>
<td id="LC997" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L998" class="blob-num js-line-number" data-line-number="998"></td>
<td id="LC998" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L999" class="blob-num js-line-number" data-line-number="999"></td>
<td id="LC999" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1000" class="blob-num js-line-number" data-line-number="1000"></td>
<td id="LC1000" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.output_size</td>
</tr>
<tr>
<td id="L1001" class="blob-num js-line-number" data-line-number="1001"></td>
<td id="LC1001" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1002" class="blob-num js-line-number" data-line-number="1002"></td>
<td id="LC1002" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">zero_state</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L1003" class="blob-num js-line-number" data-line-number="1003"></td>
<td id="LC1003" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-c1">type</span>(<span class="pl-c1">self</span>).<span class="pl-c1">__name__</span> <span class="pl-k">+</span> <span class="pl-s"><span class="pl-pds">"</span>ZeroState<span class="pl-pds">"</span></span>, <span class="pl-v">values</span><span class="pl-k">=</span>[batch_size]):</td>
</tr>
<tr>
<td id="L1004" class="blob-num js-line-number" data-line-number="1004"></td>
<td id="LC1004" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.zero_state(batch_size, dtype)</td>
</tr>
<tr>
<td id="L1005" class="blob-num js-line-number" data-line-number="1005"></td>
<td id="LC1005" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1006" class="blob-num js-line-number" data-line-number="1006"></td>
<td id="LC1006" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">_variational_recurrent_dropout_value</span>(</td>
</tr>
<tr>
<td id="L1007" class="blob-num js-line-number" data-line-number="1007"></td>
<td id="LC1007" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">index</span>, <span class="pl-smi">value</span>, <span class="pl-smi">noise</span>, <span class="pl-smi">keep_prob</span>):</td>
</tr>
<tr>
<td id="L1008" class="blob-num js-line-number" data-line-number="1008"></td>
<td id="LC1008" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Performs dropout given the pre-calculated noise tensor.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1009" class="blob-num js-line-number" data-line-number="1009"></td>
<td id="LC1009" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> uniform [keep_prob, 1.0 + keep_prob)</span></td>
</tr>
<tr>
<td id="L1010" class="blob-num js-line-number" data-line-number="1010"></td>
<td id="LC1010" class="blob-code blob-code-inner js-file-line"> random_tensor <span class="pl-k">=</span> keep_prob <span class="pl-k">+</span> noise</td>
</tr>
<tr>
<td id="L1011" class="blob-num js-line-number" data-line-number="1011"></td>
<td id="LC1011" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1012" class="blob-num js-line-number" data-line-number="1012"></td>
<td id="LC1012" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> 0. if [keep_prob, 1.0) and 1. if [1.0, 1.0 + keep_prob)</span></td>
</tr>
<tr>
<td id="L1013" class="blob-num js-line-number" data-line-number="1013"></td>
<td id="LC1013" class="blob-code blob-code-inner js-file-line"> binary_tensor <span class="pl-k">=</span> math_ops.floor(random_tensor)</td>
</tr>
<tr>
<td id="L1014" class="blob-num js-line-number" data-line-number="1014"></td>
<td id="LC1014" class="blob-code blob-code-inner js-file-line"> ret <span class="pl-k">=</span> math_ops.div(value, keep_prob) <span class="pl-k">*</span> binary_tensor</td>
</tr>
<tr>
<td id="L1015" class="blob-num js-line-number" data-line-number="1015"></td>
<td id="LC1015" class="blob-code blob-code-inner js-file-line"> ret.set_shape(value.get_shape())</td>
</tr>
<tr>
<td id="L1016" class="blob-num js-line-number" data-line-number="1016"></td>
<td id="LC1016" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> ret</td>
</tr>
<tr>
<td id="L1017" class="blob-num js-line-number" data-line-number="1017"></td>
<td id="LC1017" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1018" class="blob-num js-line-number" data-line-number="1018"></td>
<td id="LC1018" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">_dropout</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">values</span>, <span class="pl-smi">salt_prefix</span>, <span class="pl-smi">recurrent_noise</span>, <span class="pl-smi">keep_prob</span>,</td>
</tr>
<tr>
<td id="L1019" class="blob-num js-line-number" data-line-number="1019"></td>
<td id="LC1019" class="blob-code blob-code-inner js-file-line"> <span class="pl-smi">shallow_filtered_substructure</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1020" class="blob-num js-line-number" data-line-number="1020"></td>
<td id="LC1020" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Decides whether to perform standard dropout or recurrent dropout.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1021" class="blob-num js-line-number" data-line-number="1021"></td>
<td id="LC1021" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1022" class="blob-num js-line-number" data-line-number="1022"></td>
<td id="LC1022" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> shallow_filtered_substructure <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L1023" class="blob-num js-line-number" data-line-number="1023"></td>
<td id="LC1023" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Put something so we traverse the entire structure; inside the</span></td>
</tr>
<tr>
<td id="L1024" class="blob-num js-line-number" data-line-number="1024"></td>
<td id="LC1024" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> dropout function we check to see if leafs of this are bool or not.</span></td>
</tr>
<tr>
<td id="L1025" class="blob-num js-line-number" data-line-number="1025"></td>
<td id="LC1025" class="blob-code blob-code-inner js-file-line"> shallow_filtered_substructure <span class="pl-k">=</span> values</td>
</tr>
<tr>
<td id="L1026" class="blob-num js-line-number" data-line-number="1026"></td>
<td id="LC1026" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1027" class="blob-num js-line-number" data-line-number="1027"></td>
<td id="LC1027" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> <span class="pl-c1">self</span>._variational_recurrent:</td>
</tr>
<tr>
<td id="L1028" class="blob-num js-line-number" data-line-number="1028"></td>
<td id="LC1028" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">dropout</span>(<span class="pl-smi">i</span>, <span class="pl-smi">do_dropout</span>, <span class="pl-smi">v</span>):</td>
</tr>
<tr>
<td id="L1029" class="blob-num js-line-number" data-line-number="1029"></td>
<td id="LC1029" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> <span class="pl-c1">isinstance</span>(do_dropout, <span class="pl-c1">bool</span>) <span class="pl-k">or</span> do_dropout:</td>
</tr>
<tr>
<td id="L1030" class="blob-num js-line-number" data-line-number="1030"></td>
<td id="LC1030" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> nn_ops.dropout(</td>
</tr>
<tr>
<td id="L1031" class="blob-num js-line-number" data-line-number="1031"></td>
<td id="LC1031" class="blob-code blob-code-inner js-file-line"> v, <span class="pl-v">keep_prob</span><span class="pl-k">=</span>keep_prob, <span class="pl-v">seed</span><span class="pl-k">=</span><span class="pl-c1">self</span>._gen_seed(salt_prefix, i))</td>
</tr>
<tr>
<td id="L1032" class="blob-num js-line-number" data-line-number="1032"></td>
<td id="LC1032" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1033" class="blob-num js-line-number" data-line-number="1033"></td>
<td id="LC1033" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> v</td>
</tr>
<tr>
<td id="L1034" class="blob-num js-line-number" data-line-number="1034"></td>
<td id="LC1034" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> _enumerated_map_structure_up_to(</td>
</tr>
<tr>
<td id="L1035" class="blob-num js-line-number" data-line-number="1035"></td>
<td id="LC1035" class="blob-code blob-code-inner js-file-line"> shallow_filtered_substructure, dropout,</td>
</tr>
<tr>
<td id="L1036" class="blob-num js-line-number" data-line-number="1036"></td>
<td id="LC1036" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">*</span>[shallow_filtered_substructure, values])</td>
</tr>
<tr>
<td id="L1037" class="blob-num js-line-number" data-line-number="1037"></td>
<td id="LC1037" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1038" class="blob-num js-line-number" data-line-number="1038"></td>
<td id="LC1038" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">dropout</span>(<span class="pl-smi">i</span>, <span class="pl-smi">do_dropout</span>, <span class="pl-smi">v</span>, <span class="pl-smi">n</span>):</td>
</tr>
<tr>
<td id="L1039" class="blob-num js-line-number" data-line-number="1039"></td>
<td id="LC1039" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> <span class="pl-c1">isinstance</span>(do_dropout, <span class="pl-c1">bool</span>) <span class="pl-k">or</span> do_dropout:</td>
</tr>
<tr>
<td id="L1040" class="blob-num js-line-number" data-line-number="1040"></td>
<td id="LC1040" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._variational_recurrent_dropout_value(i, v, n, keep_prob)</td>
</tr>
<tr>
<td id="L1041" class="blob-num js-line-number" data-line-number="1041"></td>
<td id="LC1041" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1042" class="blob-num js-line-number" data-line-number="1042"></td>
<td id="LC1042" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> v</td>
</tr>
<tr>
<td id="L1043" class="blob-num js-line-number" data-line-number="1043"></td>
<td id="LC1043" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> _enumerated_map_structure_up_to(</td>
</tr>
<tr>
<td id="L1044" class="blob-num js-line-number" data-line-number="1044"></td>
<td id="LC1044" class="blob-code blob-code-inner js-file-line"> shallow_filtered_substructure, dropout,</td>
</tr>
<tr>
<td id="L1045" class="blob-num js-line-number" data-line-number="1045"></td>
<td id="LC1045" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">*</span>[shallow_filtered_substructure, values, recurrent_noise])</td>
</tr>
<tr>
<td id="L1046" class="blob-num js-line-number" data-line-number="1046"></td>
<td id="LC1046" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1047" class="blob-num js-line-number" data-line-number="1047"></td>
<td id="LC1047" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1048" class="blob-num js-line-number" data-line-number="1048"></td>
<td id="LC1048" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run the cell with the declared dropouts.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1049" class="blob-num js-line-number" data-line-number="1049"></td>
<td id="LC1049" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">_should_dropout</span>(<span class="pl-smi">p</span>):</td>
</tr>
<tr>
<td id="L1050" class="blob-num js-line-number" data-line-number="1050"></td>
<td id="LC1050" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> (<span class="pl-k">not</span> <span class="pl-c1">isinstance</span>(p, <span class="pl-c1">float</span>)) <span class="pl-k">or</span> p <span class="pl-k"><</span> <span class="pl-c1">1</span></td>
</tr>
<tr>
<td id="L1051" class="blob-num js-line-number" data-line-number="1051"></td>
<td id="LC1051" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1052" class="blob-num js-line-number" data-line-number="1052"></td>
<td id="LC1052" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> _should_dropout(<span class="pl-c1">self</span>._input_keep_prob):</td>
</tr>
<tr>
<td id="L1053" class="blob-num js-line-number" data-line-number="1053"></td>
<td id="LC1053" class="blob-code blob-code-inner js-file-line"> inputs <span class="pl-k">=</span> <span class="pl-c1">self</span>._dropout(inputs, <span class="pl-s"><span class="pl-pds">"</span>input<span class="pl-pds">"</span></span>,</td>
</tr>
<tr>
<td id="L1054" class="blob-num js-line-number" data-line-number="1054"></td>
<td id="LC1054" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_input_noise,</td>
</tr>
<tr>
<td id="L1055" class="blob-num js-line-number" data-line-number="1055"></td>
<td id="LC1055" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._input_keep_prob)</td>
</tr>
<tr>
<td id="L1056" class="blob-num js-line-number" data-line-number="1056"></td>
<td id="LC1056" class="blob-code blob-code-inner js-file-line"> output, new_state <span class="pl-k">=</span> <span class="pl-c1">self</span>._cell(inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope)</td>
</tr>
<tr>
<td id="L1057" class="blob-num js-line-number" data-line-number="1057"></td>
<td id="LC1057" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> _should_dropout(<span class="pl-c1">self</span>._state_keep_prob):</td>
</tr>
<tr>
<td id="L1058" class="blob-num js-line-number" data-line-number="1058"></td>
<td id="LC1058" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Identify which subsets of the state to perform dropout on and</span></td>
</tr>
<tr>
<td id="L1059" class="blob-num js-line-number" data-line-number="1059"></td>
<td id="LC1059" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> which ones to keep.</span></td>
</tr>
<tr>
<td id="L1060" class="blob-num js-line-number" data-line-number="1060"></td>
<td id="LC1060" class="blob-code blob-code-inner js-file-line"> shallow_filtered_substructure <span class="pl-k">=</span> nest.get_traverse_shallow_structure(</td>
</tr>
<tr>
<td id="L1061" class="blob-num js-line-number" data-line-number="1061"></td>
<td id="LC1061" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._dropout_state_filter, new_state)</td>
</tr>
<tr>
<td id="L1062" class="blob-num js-line-number" data-line-number="1062"></td>
<td id="LC1062" class="blob-code blob-code-inner js-file-line"> new_state <span class="pl-k">=</span> <span class="pl-c1">self</span>._dropout(new_state, <span class="pl-s"><span class="pl-pds">"</span>state<span class="pl-pds">"</span></span>,</td>
</tr>
<tr>
<td id="L1063" class="blob-num js-line-number" data-line-number="1063"></td>
<td id="LC1063" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_state_noise,</td>
</tr>
<tr>
<td id="L1064" class="blob-num js-line-number" data-line-number="1064"></td>
<td id="LC1064" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_keep_prob,</td>
</tr>
<tr>
<td id="L1065" class="blob-num js-line-number" data-line-number="1065"></td>
<td id="LC1065" class="blob-code blob-code-inner js-file-line"> shallow_filtered_substructure)</td>
</tr>
<tr>
<td id="L1066" class="blob-num js-line-number" data-line-number="1066"></td>
<td id="LC1066" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> _should_dropout(<span class="pl-c1">self</span>._output_keep_prob):</td>
</tr>
<tr>
<td id="L1067" class="blob-num js-line-number" data-line-number="1067"></td>
<td id="LC1067" class="blob-code blob-code-inner js-file-line"> output <span class="pl-k">=</span> <span class="pl-c1">self</span>._dropout(output, <span class="pl-s"><span class="pl-pds">"</span>output<span class="pl-pds">"</span></span>,</td>
</tr>
<tr>
<td id="L1068" class="blob-num js-line-number" data-line-number="1068"></td>
<td id="LC1068" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._recurrent_output_noise,</td>
</tr>
<tr>
<td id="L1069" class="blob-num js-line-number" data-line-number="1069"></td>
<td id="LC1069" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._output_keep_prob)</td>
</tr>
<tr>
<td id="L1070" class="blob-num js-line-number" data-line-number="1070"></td>
<td id="LC1070" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> output, new_state</td>
</tr>
<tr>
<td id="L1071" class="blob-num js-line-number" data-line-number="1071"></td>
<td id="LC1071" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1072" class="blob-num js-line-number" data-line-number="1072"></td>
<td id="LC1072" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1073" class="blob-num js-line-number" data-line-number="1073"></td>
<td id="LC1073" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.ResidualWrapper<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L1074" class="blob-num js-line-number" data-line-number="1074"></td>
<td id="LC1074" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">ResidualWrapper</span>(<span class="pl-e">RNNCell</span>):</td>
</tr>
<tr>
<td id="L1075" class="blob-num js-line-number" data-line-number="1075"></td>
<td id="LC1075" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>RNNCell wrapper that ensures cell inputs are added to the outputs.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1076" class="blob-num js-line-number" data-line-number="1076"></td>
<td id="LC1076" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1077" class="blob-num js-line-number" data-line-number="1077"></td>
<td id="LC1077" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">cell</span>, <span class="pl-smi">residual_fn</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1078" class="blob-num js-line-number" data-line-number="1078"></td>
<td id="LC1078" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Constructs a `ResidualWrapper` for `cell`.</span></td>
</tr>
<tr>
<td id="L1079" class="blob-num js-line-number" data-line-number="1079"></td>
<td id="LC1079" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1080" class="blob-num js-line-number" data-line-number="1080"></td>
<td id="LC1080" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L1081" class="blob-num js-line-number" data-line-number="1081"></td>
<td id="LC1081" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cell: An instance of `RNNCell`.</span></td>
</tr>
<tr>
<td id="L1082" class="blob-num js-line-number" data-line-number="1082"></td>
<td id="LC1082" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> residual_fn: (Optional) The function to map raw cell inputs and raw cell</span></td>
</tr>
<tr>
<td id="L1083" class="blob-num js-line-number" data-line-number="1083"></td>
<td id="LC1083" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> outputs to the actual cell outputs of the residual network.</span></td>
</tr>
<tr>
<td id="L1084" class="blob-num js-line-number" data-line-number="1084"></td>
<td id="LC1084" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Defaults to calling nest.map_structure on (lambda i, o: i + o), inputs</span></td>
</tr>
<tr>
<td id="L1085" class="blob-num js-line-number" data-line-number="1085"></td>
<td id="LC1085" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> and outputs.</span></td>
</tr>
<tr>
<td id="L1086" class="blob-num js-line-number" data-line-number="1086"></td>
<td id="LC1086" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1087" class="blob-num js-line-number" data-line-number="1087"></td>
<td id="LC1087" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell <span class="pl-k">=</span> cell</td>
</tr>
<tr>
<td id="L1088" class="blob-num js-line-number" data-line-number="1088"></td>
<td id="LC1088" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._residual_fn <span class="pl-k">=</span> residual_fn</td>
</tr>
<tr>
<td id="L1089" class="blob-num js-line-number" data-line-number="1089"></td>
<td id="LC1089" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1090" class="blob-num js-line-number" data-line-number="1090"></td>
<td id="LC1090" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1091" class="blob-num js-line-number" data-line-number="1091"></td>
<td id="LC1091" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1092" class="blob-num js-line-number" data-line-number="1092"></td>
<td id="LC1092" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.state_size</td>
</tr>
<tr>
<td id="L1093" class="blob-num js-line-number" data-line-number="1093"></td>
<td id="LC1093" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1094" class="blob-num js-line-number" data-line-number="1094"></td>
<td id="LC1094" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1095" class="blob-num js-line-number" data-line-number="1095"></td>
<td id="LC1095" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1096" class="blob-num js-line-number" data-line-number="1096"></td>
<td id="LC1096" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.output_size</td>
</tr>
<tr>
<td id="L1097" class="blob-num js-line-number" data-line-number="1097"></td>
<td id="LC1097" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1098" class="blob-num js-line-number" data-line-number="1098"></td>
<td id="LC1098" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">zero_state</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L1099" class="blob-num js-line-number" data-line-number="1099"></td>
<td id="LC1099" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-c1">type</span>(<span class="pl-c1">self</span>).<span class="pl-c1">__name__</span> <span class="pl-k">+</span> <span class="pl-s"><span class="pl-pds">"</span>ZeroState<span class="pl-pds">"</span></span>, <span class="pl-v">values</span><span class="pl-k">=</span>[batch_size]):</td>
</tr>
<tr>
<td id="L1100" class="blob-num js-line-number" data-line-number="1100"></td>
<td id="LC1100" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.zero_state(batch_size, dtype)</td>
</tr>
<tr>
<td id="L1101" class="blob-num js-line-number" data-line-number="1101"></td>
<td id="LC1101" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1102" class="blob-num js-line-number" data-line-number="1102"></td>
<td id="LC1102" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1103" class="blob-num js-line-number" data-line-number="1103"></td>
<td id="LC1103" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run the cell and then apply the residual_fn on its inputs to its outputs.</span></td>
</tr>
<tr>
<td id="L1104" class="blob-num js-line-number" data-line-number="1104"></td>
<td id="LC1104" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1105" class="blob-num js-line-number" data-line-number="1105"></td>
<td id="LC1105" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L1106" class="blob-num js-line-number" data-line-number="1106"></td>
<td id="LC1106" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> inputs: cell inputs.</span></td>
</tr>
<tr>
<td id="L1107" class="blob-num js-line-number" data-line-number="1107"></td>
<td id="LC1107" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state: cell state.</span></td>
</tr>
<tr>
<td id="L1108" class="blob-num js-line-number" data-line-number="1108"></td>
<td id="LC1108" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> scope: optional cell scope.</span></td>
</tr>
<tr>
<td id="L1109" class="blob-num js-line-number" data-line-number="1109"></td>
<td id="LC1109" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1110" class="blob-num js-line-number" data-line-number="1110"></td>
<td id="LC1110" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Returns:</span></td>
</tr>
<tr>
<td id="L1111" class="blob-num js-line-number" data-line-number="1111"></td>
<td id="LC1111" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Tuple of cell outputs and new state.</span></td>
</tr>
<tr>
<td id="L1112" class="blob-num js-line-number" data-line-number="1112"></td>
<td id="LC1112" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1113" class="blob-num js-line-number" data-line-number="1113"></td>
<td id="LC1113" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
</tr>
<tr>
<td id="L1114" class="blob-num js-line-number" data-line-number="1114"></td>
<td id="LC1114" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> TypeError: If cell inputs and outputs have different structure (type).</span></td>
</tr>
<tr>
<td id="L1115" class="blob-num js-line-number" data-line-number="1115"></td>
<td id="LC1115" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: If cell inputs and outputs have different structure (value).</span></td>
</tr>
<tr>
<td id="L1116" class="blob-num js-line-number" data-line-number="1116"></td>
<td id="LC1116" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1117" class="blob-num js-line-number" data-line-number="1117"></td>
<td id="LC1117" class="blob-code blob-code-inner js-file-line"> outputs, new_state <span class="pl-k">=</span> <span class="pl-c1">self</span>._cell(inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope)</td>
</tr>
<tr>
<td id="L1118" class="blob-num js-line-number" data-line-number="1118"></td>
<td id="LC1118" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> Ensure shapes match</span></td>
</tr>
<tr>
<td id="L1119" class="blob-num js-line-number" data-line-number="1119"></td>
<td id="LC1119" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">assert_shape_match</span>(<span class="pl-smi">inp</span>, <span class="pl-smi">out</span>):</td>
</tr>
<tr>
<td id="L1120" class="blob-num js-line-number" data-line-number="1120"></td>
<td id="LC1120" class="blob-code blob-code-inner js-file-line"> inp.get_shape().assert_is_compatible_with(out.get_shape())</td>
</tr>
<tr>
<td id="L1121" class="blob-num js-line-number" data-line-number="1121"></td>
<td id="LC1121" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">default_residual_fn</span>(<span class="pl-smi">inputs</span>, <span class="pl-smi">outputs</span>):</td>
</tr>
<tr>
<td id="L1122" class="blob-num js-line-number" data-line-number="1122"></td>
<td id="LC1122" class="blob-code blob-code-inner js-file-line"> nest.assert_same_structure(inputs, outputs)</td>
</tr>
<tr>
<td id="L1123" class="blob-num js-line-number" data-line-number="1123"></td>
<td id="LC1123" class="blob-code blob-code-inner js-file-line"> nest.map_structure(assert_shape_match, inputs, outputs)</td>
</tr>
<tr>
<td id="L1124" class="blob-num js-line-number" data-line-number="1124"></td>
<td id="LC1124" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> nest.map_structure(<span class="pl-k">lambda</span> <span class="pl-smi">inp</span>, <span class="pl-smi">out</span>: inp <span class="pl-k">+</span> out, inputs, outputs)</td>
</tr>
<tr>
<td id="L1125" class="blob-num js-line-number" data-line-number="1125"></td>
<td id="LC1125" class="blob-code blob-code-inner js-file-line"> res_outputs <span class="pl-k">=</span> (<span class="pl-c1">self</span>._residual_fn <span class="pl-k">or</span> default_residual_fn)(inputs, outputs)</td>
</tr>
<tr>
<td id="L1126" class="blob-num js-line-number" data-line-number="1126"></td>
<td id="LC1126" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> (res_outputs, new_state)</td>
</tr>
<tr>
<td id="L1127" class="blob-num js-line-number" data-line-number="1127"></td>
<td id="LC1127" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1128" class="blob-num js-line-number" data-line-number="1128"></td>
<td id="LC1128" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1129" class="blob-num js-line-number" data-line-number="1129"></td>
<td id="LC1129" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.DeviceWrapper<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L1130" class="blob-num js-line-number" data-line-number="1130"></td>
<td id="LC1130" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">DeviceWrapper</span>(<span class="pl-e">RNNCell</span>):</td>
</tr>
<tr>
<td id="L1131" class="blob-num js-line-number" data-line-number="1131"></td>
<td id="LC1131" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Operator that ensures an RNNCell runs on a particular device.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1132" class="blob-num js-line-number" data-line-number="1132"></td>
<td id="LC1132" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1133" class="blob-num js-line-number" data-line-number="1133"></td>
<td id="LC1133" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">cell</span>, <span class="pl-smi">device</span>):</td>
</tr>
<tr>
<td id="L1134" class="blob-num js-line-number" data-line-number="1134"></td>
<td id="LC1134" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Construct a `DeviceWrapper` for `cell` with device `device`.</span></td>
</tr>
<tr>
<td id="L1135" class="blob-num js-line-number" data-line-number="1135"></td>
<td id="LC1135" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1136" class="blob-num js-line-number" data-line-number="1136"></td>
<td id="LC1136" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Ensures the wrapped `cell` is called with `tf.device(device)`.</span></td>
</tr>
<tr>
<td id="L1137" class="blob-num js-line-number" data-line-number="1137"></td>
<td id="LC1137" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1138" class="blob-num js-line-number" data-line-number="1138"></td>
<td id="LC1138" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L1139" class="blob-num js-line-number" data-line-number="1139"></td>
<td id="LC1139" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cell: An instance of `RNNCell`.</span></td>
</tr>
<tr>
<td id="L1140" class="blob-num js-line-number" data-line-number="1140"></td>
<td id="LC1140" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> device: A device string or function, for passing to `tf.device`.</span></td>
</tr>
<tr>
<td id="L1141" class="blob-num js-line-number" data-line-number="1141"></td>
<td id="LC1141" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1142" class="blob-num js-line-number" data-line-number="1142"></td>
<td id="LC1142" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell <span class="pl-k">=</span> cell</td>
</tr>
<tr>
<td id="L1143" class="blob-num js-line-number" data-line-number="1143"></td>
<td id="LC1143" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._device <span class="pl-k">=</span> device</td>
</tr>
<tr>
<td id="L1144" class="blob-num js-line-number" data-line-number="1144"></td>
<td id="LC1144" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1145" class="blob-num js-line-number" data-line-number="1145"></td>
<td id="LC1145" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1146" class="blob-num js-line-number" data-line-number="1146"></td>
<td id="LC1146" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1147" class="blob-num js-line-number" data-line-number="1147"></td>
<td id="LC1147" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.state_size</td>
</tr>
<tr>
<td id="L1148" class="blob-num js-line-number" data-line-number="1148"></td>
<td id="LC1148" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1149" class="blob-num js-line-number" data-line-number="1149"></td>
<td id="LC1149" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1150" class="blob-num js-line-number" data-line-number="1150"></td>
<td id="LC1150" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1151" class="blob-num js-line-number" data-line-number="1151"></td>
<td id="LC1151" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.output_size</td>
</tr>
<tr>
<td id="L1152" class="blob-num js-line-number" data-line-number="1152"></td>
<td id="LC1152" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1153" class="blob-num js-line-number" data-line-number="1153"></td>
<td id="LC1153" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">zero_state</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L1154" class="blob-num js-line-number" data-line-number="1154"></td>
<td id="LC1154" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-c1">type</span>(<span class="pl-c1">self</span>).<span class="pl-c1">__name__</span> <span class="pl-k">+</span> <span class="pl-s"><span class="pl-pds">"</span>ZeroState<span class="pl-pds">"</span></span>, <span class="pl-v">values</span><span class="pl-k">=</span>[batch_size]):</td>
</tr>
<tr>
<td id="L1155" class="blob-num js-line-number" data-line-number="1155"></td>
<td id="LC1155" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.device(<span class="pl-c1">self</span>._device):</td>
</tr>
<tr>
<td id="L1156" class="blob-num js-line-number" data-line-number="1156"></td>
<td id="LC1156" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell.zero_state(batch_size, dtype)</td>
</tr>
<tr>
<td id="L1157" class="blob-num js-line-number" data-line-number="1157"></td>
<td id="LC1157" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1158" class="blob-num js-line-number" data-line-number="1158"></td>
<td id="LC1158" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1159" class="blob-num js-line-number" data-line-number="1159"></td>
<td id="LC1159" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run the cell on specified device.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1160" class="blob-num js-line-number" data-line-number="1160"></td>
<td id="LC1160" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.device(<span class="pl-c1">self</span>._device):</td>
</tr>
<tr>
<td id="L1161" class="blob-num js-line-number" data-line-number="1161"></td>
<td id="LC1161" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cell(inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope)</td>
</tr>
<tr>
<td id="L1162" class="blob-num js-line-number" data-line-number="1162"></td>
<td id="LC1162" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1163" class="blob-num js-line-number" data-line-number="1163"></td>
<td id="LC1163" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1164" class="blob-num js-line-number" data-line-number="1164"></td>
<td id="LC1164" class="blob-code blob-code-inner js-file-line"><span class="pl-en">@tf_export</span>(<span class="pl-s"><span class="pl-pds">"</span>nn.rnn_cell.MultiRNNCell<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L1165" class="blob-num js-line-number" data-line-number="1165"></td>
<td id="LC1165" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">MultiRNNCell</span>(<span class="pl-e">RNNCell</span>):</td>
</tr>
<tr>
<td id="L1166" class="blob-num js-line-number" data-line-number="1166"></td>
<td id="LC1166" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>RNN cell composed sequentially of multiple simple cells.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1167" class="blob-num js-line-number" data-line-number="1167"></td>
<td id="LC1167" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1168" class="blob-num js-line-number" data-line-number="1168"></td>
<td id="LC1168" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">cells</span>, <span class="pl-smi">state_is_tuple</span><span class="pl-k">=</span><span class="pl-c1">True</span>):</td>
</tr>
<tr>
<td id="L1169" class="blob-num js-line-number" data-line-number="1169"></td>
<td id="LC1169" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Create a RNN cell composed sequentially of a number of RNNCells.</span></td>
</tr>
<tr>
<td id="L1170" class="blob-num js-line-number" data-line-number="1170"></td>
<td id="LC1170" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1171" class="blob-num js-line-number" data-line-number="1171"></td>
<td id="LC1171" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L1172" class="blob-num js-line-number" data-line-number="1172"></td>
<td id="LC1172" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cells: list of RNNCells that will be composed in this order.</span></td>
</tr>
<tr>
<td id="L1173" class="blob-num js-line-number" data-line-number="1173"></td>
<td id="LC1173" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state_is_tuple: If True, accepted and returned states are n-tuples, where</span></td>
</tr>
<tr>
<td id="L1174" class="blob-num js-line-number" data-line-number="1174"></td>
<td id="LC1174" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> `n = len(cells)`. If False, the states are all</span></td>
</tr>
<tr>
<td id="L1175" class="blob-num js-line-number" data-line-number="1175"></td>
<td id="LC1175" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> concatenated along the column axis. This latter behavior will soon be</span></td>
</tr>
<tr>
<td id="L1176" class="blob-num js-line-number" data-line-number="1176"></td>
<td id="LC1176" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> deprecated.</span></td>
</tr>
<tr>
<td id="L1177" class="blob-num js-line-number" data-line-number="1177"></td>
<td id="LC1177" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1178" class="blob-num js-line-number" data-line-number="1178"></td>
<td id="LC1178" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
</tr>
<tr>
<td id="L1179" class="blob-num js-line-number" data-line-number="1179"></td>
<td id="LC1179" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: if cells is empty (not allowed), or at least one of the cells</span></td>
</tr>
<tr>
<td id="L1180" class="blob-num js-line-number" data-line-number="1180"></td>
<td id="LC1180" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> returns a state tuple but the flag `state_is_tuple` is `False`.</span></td>
</tr>
<tr>
<td id="L1181" class="blob-num js-line-number" data-line-number="1181"></td>
<td id="LC1181" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1182" class="blob-num js-line-number" data-line-number="1182"></td>
<td id="LC1182" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">super</span>(MultiRNNCell, <span class="pl-c1">self</span>).<span class="pl-c1">__init__</span>()</td>
</tr>
<tr>
<td id="L1183" class="blob-num js-line-number" data-line-number="1183"></td>
<td id="LC1183" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> cells:</td>
</tr>
<tr>
<td id="L1184" class="blob-num js-line-number" data-line-number="1184"></td>
<td id="LC1184" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Must specify at least one cell for MultiRNNCell.<span class="pl-pds">"</span></span>)</td>
</tr>
<tr>
<td id="L1185" class="blob-num js-line-number" data-line-number="1185"></td>
<td id="LC1185" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> nest.is_sequence(cells):</td>
</tr>
<tr>
<td id="L1186" class="blob-num js-line-number" data-line-number="1186"></td>
<td id="LC1186" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">TypeError</span>(</td>
</tr>
<tr>
<td id="L1187" class="blob-num js-line-number" data-line-number="1187"></td>
<td id="LC1187" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>cells must be a list or tuple, but saw: <span class="pl-c1">%s</span>.<span class="pl-pds">"</span></span> <span class="pl-k">%</span> cells)</td>
</tr>
<tr>
<td id="L1188" class="blob-num js-line-number" data-line-number="1188"></td>
<td id="LC1188" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1189" class="blob-num js-line-number" data-line-number="1189"></td>
<td id="LC1189" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cells <span class="pl-k">=</span> cells</td>
</tr>
<tr>
<td id="L1190" class="blob-num js-line-number" data-line-number="1190"></td>
<td id="LC1190" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">=</span> state_is_tuple</td>
</tr>
<tr>
<td id="L1191" class="blob-num js-line-number" data-line-number="1191"></td>
<td id="LC1191" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> state_is_tuple:</td>
</tr>
<tr>
<td id="L1192" class="blob-num js-line-number" data-line-number="1192"></td>
<td id="LC1192" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">any</span>(nest.is_sequence(c.state_size) <span class="pl-k">for</span> c <span class="pl-k">in</span> <span class="pl-c1">self</span>._cells):</td>
</tr>
<tr>
<td id="L1193" class="blob-num js-line-number" data-line-number="1193"></td>
<td id="LC1193" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Some cells return tuples of states, but the flag <span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L1194" class="blob-num js-line-number" data-line-number="1194"></td>
<td id="LC1194" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>state_is_tuple is not set. State sizes are: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span></td>
</tr>
<tr>
<td id="L1195" class="blob-num js-line-number" data-line-number="1195"></td>
<td id="LC1195" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">%</span> <span class="pl-c1">str</span>([c.state_size <span class="pl-k">for</span> c <span class="pl-k">in</span> <span class="pl-c1">self</span>._cells]))</td>
</tr>
<tr>
<td id="L1196" class="blob-num js-line-number" data-line-number="1196"></td>
<td id="LC1196" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1197" class="blob-num js-line-number" data-line-number="1197"></td>
<td id="LC1197" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1198" class="blob-num js-line-number" data-line-number="1198"></td>
<td id="LC1198" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1199" class="blob-num js-line-number" data-line-number="1199"></td>
<td id="LC1199" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
</tr>
<tr>
<td id="L1200" class="blob-num js-line-number" data-line-number="1200"></td>
<td id="LC1200" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">tuple</span>(cell.state_size <span class="pl-k">for</span> cell <span class="pl-k">in</span> <span class="pl-c1">self</span>._cells)</td>
</tr>
<tr>
<td id="L1201" class="blob-num js-line-number" data-line-number="1201"></td>
<td id="LC1201" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1202" class="blob-num js-line-number" data-line-number="1202"></td>
<td id="LC1202" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">sum</span>([cell.state_size <span class="pl-k">for</span> cell <span class="pl-k">in</span> <span class="pl-c1">self</span>._cells])</td>
</tr>
<tr>
<td id="L1203" class="blob-num js-line-number" data-line-number="1203"></td>
<td id="LC1203" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1204" class="blob-num js-line-number" data-line-number="1204"></td>
<td id="LC1204" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1205" class="blob-num js-line-number" data-line-number="1205"></td>
<td id="LC1205" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1206" class="blob-num js-line-number" data-line-number="1206"></td>
<td id="LC1206" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._cells[<span class="pl-k">-</span><span class="pl-c1">1</span>].output_size</td>
</tr>
<tr>
<td id="L1207" class="blob-num js-line-number" data-line-number="1207"></td>
<td id="LC1207" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1208" class="blob-num js-line-number" data-line-number="1208"></td>
<td id="LC1208" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">zero_state</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">batch_size</span>, <span class="pl-smi">dtype</span>):</td>
</tr>
<tr>
<td id="L1209" class="blob-num js-line-number" data-line-number="1209"></td>
<td id="LC1209" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> ops.name_scope(<span class="pl-c1">type</span>(<span class="pl-c1">self</span>).<span class="pl-c1">__name__</span> <span class="pl-k">+</span> <span class="pl-s"><span class="pl-pds">"</span>ZeroState<span class="pl-pds">"</span></span>, <span class="pl-v">values</span><span class="pl-k">=</span>[batch_size]):</td>
</tr>
<tr>
<td id="L1210" class="blob-num js-line-number" data-line-number="1210"></td>
<td id="LC1210" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
</tr>
<tr>
<td id="L1211" class="blob-num js-line-number" data-line-number="1211"></td>
<td id="LC1211" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">tuple</span>(cell.zero_state(batch_size, dtype) <span class="pl-k">for</span> cell <span class="pl-k">in</span> <span class="pl-c1">self</span>._cells)</td>
</tr>
<tr>
<td id="L1212" class="blob-num js-line-number" data-line-number="1212"></td>
<td id="LC1212" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1213" class="blob-num js-line-number" data-line-number="1213"></td>
<td id="LC1213" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> We know here that state_size of each cell is not a tuple and</span></td>
</tr>
<tr>
<td id="L1214" class="blob-num js-line-number" data-line-number="1214"></td>
<td id="LC1214" class="blob-code blob-code-inner js-file-line"> <span class="pl-c"><span class="pl-c">#</span> presumably does not contain TensorArrays or anything else fancy</span></td>
</tr>
<tr>
<td id="L1215" class="blob-num js-line-number" data-line-number="1215"></td>
<td id="LC1215" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">super</span>(MultiRNNCell, <span class="pl-c1">self</span>).zero_state(batch_size, dtype)</td>
</tr>
<tr>
<td id="L1216" class="blob-num js-line-number" data-line-number="1216"></td>
<td id="LC1216" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1217" class="blob-num js-line-number" data-line-number="1217"></td>
<td id="LC1217" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">call</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>):</td>
</tr>
<tr>
<td id="L1218" class="blob-num js-line-number" data-line-number="1218"></td>
<td id="LC1218" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Run this multi-layer cell on inputs, starting from state.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1219" class="blob-num js-line-number" data-line-number="1219"></td>
<td id="LC1219" class="blob-code blob-code-inner js-file-line"> cur_state_pos <span class="pl-k">=</span> <span class="pl-c1">0</span></td>
</tr>
<tr>
<td id="L1220" class="blob-num js-line-number" data-line-number="1220"></td>
<td id="LC1220" class="blob-code blob-code-inner js-file-line"> cur_inp <span class="pl-k">=</span> inputs</td>
</tr>
<tr>
<td id="L1221" class="blob-num js-line-number" data-line-number="1221"></td>
<td id="LC1221" class="blob-code blob-code-inner js-file-line"> new_states <span class="pl-k">=</span> []</td>
</tr>
<tr>
<td id="L1222" class="blob-num js-line-number" data-line-number="1222"></td>
<td id="LC1222" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">for</span> i, cell <span class="pl-k">in</span> <span class="pl-c1">enumerate</span>(<span class="pl-c1">self</span>._cells):</td>
</tr>
<tr>
<td id="L1223" class="blob-num js-line-number" data-line-number="1223"></td>
<td id="LC1223" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">with</span> vs.variable_scope(<span class="pl-s"><span class="pl-pds">"</span>cell_<span class="pl-c1">%d</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span> i):</td>
</tr>
<tr>
<td id="L1224" class="blob-num js-line-number" data-line-number="1224"></td>
<td id="LC1224" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple:</td>
</tr>
<tr>
<td id="L1225" class="blob-num js-line-number" data-line-number="1225"></td>
<td id="LC1225" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> nest.is_sequence(state):</td>
</tr>
<tr>
<td id="L1226" class="blob-num js-line-number" data-line-number="1226"></td>
<td id="LC1226" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(</td>
</tr>
<tr>
<td id="L1227" class="blob-num js-line-number" data-line-number="1227"></td>
<td id="LC1227" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"</span>Expected state to be a tuple of length <span class="pl-c1">%d</span>, but received: <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span></td>
</tr>
<tr>
<td id="L1228" class="blob-num js-line-number" data-line-number="1228"></td>
<td id="LC1228" class="blob-code blob-code-inner js-file-line"> (<span class="pl-c1">len</span>(<span class="pl-c1">self</span>.state_size), state))</td>
</tr>
<tr>
<td id="L1229" class="blob-num js-line-number" data-line-number="1229"></td>
<td id="LC1229" class="blob-code blob-code-inner js-file-line"> cur_state <span class="pl-k">=</span> state[i]</td>
</tr>
<tr>
<td id="L1230" class="blob-num js-line-number" data-line-number="1230"></td>
<td id="LC1230" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">else</span>:</td>
</tr>
<tr>
<td id="L1231" class="blob-num js-line-number" data-line-number="1231"></td>
<td id="LC1231" class="blob-code blob-code-inner js-file-line"> cur_state <span class="pl-k">=</span> array_ops.slice(state, [<span class="pl-c1">0</span>, cur_state_pos],</td>
</tr>
<tr>
<td id="L1232" class="blob-num js-line-number" data-line-number="1232"></td>
<td id="LC1232" class="blob-code blob-code-inner js-file-line"> [<span class="pl-k">-</span><span class="pl-c1">1</span>, cell.state_size])</td>
</tr>
<tr>
<td id="L1233" class="blob-num js-line-number" data-line-number="1233"></td>
<td id="LC1233" class="blob-code blob-code-inner js-file-line"> cur_state_pos <span class="pl-k">+=</span> cell.state_size</td>
</tr>
<tr>
<td id="L1234" class="blob-num js-line-number" data-line-number="1234"></td>
<td id="LC1234" class="blob-code blob-code-inner js-file-line"> cur_inp, new_state <span class="pl-k">=</span> cell(cur_inp, cur_state)</td>
</tr>
<tr>
<td id="L1235" class="blob-num js-line-number" data-line-number="1235"></td>
<td id="LC1235" class="blob-code blob-code-inner js-file-line"> new_states.append(new_state)</td>
</tr>
<tr>
<td id="L1236" class="blob-num js-line-number" data-line-number="1236"></td>
<td id="LC1236" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1237" class="blob-num js-line-number" data-line-number="1237"></td>
<td id="LC1237" class="blob-code blob-code-inner js-file-line"> new_states <span class="pl-k">=</span> (<span class="pl-c1">tuple</span>(new_states) <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_is_tuple <span class="pl-k">else</span></td>
</tr>
<tr>
<td id="L1238" class="blob-num js-line-number" data-line-number="1238"></td>
<td id="LC1238" class="blob-code blob-code-inner js-file-line"> array_ops.concat(new_states, <span class="pl-c1">1</span>))</td>
</tr>
<tr>
<td id="L1239" class="blob-num js-line-number" data-line-number="1239"></td>
<td id="LC1239" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1240" class="blob-num js-line-number" data-line-number="1240"></td>
<td id="LC1240" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> cur_inp, new_states</td>
</tr>
<tr>
<td id="L1241" class="blob-num js-line-number" data-line-number="1241"></td>
<td id="LC1241" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1242" class="blob-num js-line-number" data-line-number="1242"></td>
<td id="LC1242" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1243" class="blob-num js-line-number" data-line-number="1243"></td>
<td id="LC1243" class="blob-code blob-code-inner js-file-line"><span class="pl-k">class</span> <span class="pl-en">_SlimRNNCell</span>(<span class="pl-e">RNNCell</span>):</td>
</tr>
<tr>
<td id="L1244" class="blob-num js-line-number" data-line-number="1244"></td>
<td id="LC1244" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>A simple wrapper for slim.rnn_cells.<span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1245" class="blob-num js-line-number" data-line-number="1245"></td>
<td id="LC1245" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1246" class="blob-num js-line-number" data-line-number="1246"></td>
<td id="LC1246" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__init__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">cell_fn</span>):</td>
</tr>
<tr>
<td id="L1247" class="blob-num js-line-number" data-line-number="1247"></td>
<td id="LC1247" class="blob-code blob-code-inner js-file-line"> <span class="pl-s"><span class="pl-pds">"""</span>Create a SlimRNNCell from a cell_fn.</span></td>
</tr>
<tr>
<td id="L1248" class="blob-num js-line-number" data-line-number="1248"></td>
<td id="LC1248" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1249" class="blob-num js-line-number" data-line-number="1249"></td>
<td id="LC1249" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Args:</span></td>
</tr>
<tr>
<td id="L1250" class="blob-num js-line-number" data-line-number="1250"></td>
<td id="LC1250" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> cell_fn: a function which takes (inputs, state, scope) and produces the</span></td>
</tr>
<tr>
<td id="L1251" class="blob-num js-line-number" data-line-number="1251"></td>
<td id="LC1251" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> outputs and the new_state. Additionally when called with inputs=None and</span></td>
</tr>
<tr>
<td id="L1252" class="blob-num js-line-number" data-line-number="1252"></td>
<td id="LC1252" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> state=None it should return (initial_outputs, initial_state).</span></td>
</tr>
<tr>
<td id="L1253" class="blob-num js-line-number" data-line-number="1253"></td>
<td id="LC1253" class="blob-code blob-code-inner js-file-line"><span class="pl-s"></span></td>
</tr>
<tr>
<td id="L1254" class="blob-num js-line-number" data-line-number="1254"></td>
<td id="LC1254" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> Raises:</span></td>
</tr>
<tr>
<td id="L1255" class="blob-num js-line-number" data-line-number="1255"></td>
<td id="LC1255" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> TypeError: if cell_fn is not callable</span></td>
</tr>
<tr>
<td id="L1256" class="blob-num js-line-number" data-line-number="1256"></td>
<td id="LC1256" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> ValueError: if cell_fn cannot produce a valid initial state.</span></td>
</tr>
<tr>
<td id="L1257" class="blob-num js-line-number" data-line-number="1257"></td>
<td id="LC1257" class="blob-code blob-code-inner js-file-line"><span class="pl-s"> <span class="pl-pds">"""</span></span></td>
</tr>
<tr>
<td id="L1258" class="blob-num js-line-number" data-line-number="1258"></td>
<td id="LC1258" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-k">not</span> <span class="pl-c1">callable</span>(cell_fn):</td>
</tr>
<tr>
<td id="L1259" class="blob-num js-line-number" data-line-number="1259"></td>
<td id="LC1259" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">TypeError</span>(<span class="pl-s"><span class="pl-pds">"</span>cell_fn <span class="pl-c1">%s</span> needs to be callable<span class="pl-pds">"</span></span>, cell_fn)</td>
</tr>
<tr>
<td id="L1260" class="blob-num js-line-number" data-line-number="1260"></td>
<td id="LC1260" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell_fn <span class="pl-k">=</span> cell_fn</td>
</tr>
<tr>
<td id="L1261" class="blob-num js-line-number" data-line-number="1261"></td>
<td id="LC1261" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._cell_name <span class="pl-k">=</span> cell_fn.func.<span class="pl-c1">__name__</span></td>
</tr>
<tr>
<td id="L1262" class="blob-num js-line-number" data-line-number="1262"></td>
<td id="LC1262" class="blob-code blob-code-inner js-file-line"> init_output, init_state <span class="pl-k">=</span> <span class="pl-c1">self</span>._cell_fn(<span class="pl-c1">None</span>, <span class="pl-c1">None</span>)</td>
</tr>
<tr>
<td id="L1263" class="blob-num js-line-number" data-line-number="1263"></td>
<td id="LC1263" class="blob-code blob-code-inner js-file-line"> output_shape <span class="pl-k">=</span> init_output.get_shape()</td>
</tr>
<tr>
<td id="L1264" class="blob-num js-line-number" data-line-number="1264"></td>
<td id="LC1264" class="blob-code blob-code-inner js-file-line"> state_shape <span class="pl-k">=</span> init_state.get_shape()</td>
</tr>
<tr>
<td id="L1265" class="blob-num js-line-number" data-line-number="1265"></td>
<td id="LC1265" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._output_size <span class="pl-k">=</span> output_shape.with_rank(<span class="pl-c1">2</span>)[<span class="pl-c1">1</span>].value</td>
</tr>
<tr>
<td id="L1266" class="blob-num js-line-number" data-line-number="1266"></td>
<td id="LC1266" class="blob-code blob-code-inner js-file-line"> <span class="pl-c1">self</span>._state_size <span class="pl-k">=</span> state_shape.with_rank(<span class="pl-c1">2</span>)[<span class="pl-c1">1</span>].value</td>
</tr>
<tr>
<td id="L1267" class="blob-num js-line-number" data-line-number="1267"></td>
<td id="LC1267" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._output_size <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L1268" class="blob-num js-line-number" data-line-number="1268"></td>
<td id="LC1268" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Initial output created by <span class="pl-c1">%s</span> has invalid shape <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span></td>
</tr>
<tr>
<td id="L1269" class="blob-num js-line-number" data-line-number="1269"></td>
<td id="LC1269" class="blob-code blob-code-inner js-file-line"> (<span class="pl-c1">self</span>._cell_name, output_shape))</td>
</tr>
<tr>
<td id="L1270" class="blob-num js-line-number" data-line-number="1270"></td>
<td id="LC1270" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">if</span> <span class="pl-c1">self</span>._state_size <span class="pl-k">is</span> <span class="pl-c1">None</span>:</td>
</tr>
<tr>
<td id="L1271" class="blob-num js-line-number" data-line-number="1271"></td>
<td id="LC1271" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">raise</span> <span class="pl-c1">ValueError</span>(<span class="pl-s"><span class="pl-pds">"</span>Initial state created by <span class="pl-c1">%s</span> has invalid shape <span class="pl-c1">%s</span><span class="pl-pds">"</span></span> <span class="pl-k">%</span></td>
</tr>
<tr>
<td id="L1272" class="blob-num js-line-number" data-line-number="1272"></td>
<td id="LC1272" class="blob-code blob-code-inner js-file-line"> (<span class="pl-c1">self</span>._cell_name, state_shape))</td>
</tr>
<tr>
<td id="L1273" class="blob-num js-line-number" data-line-number="1273"></td>
<td id="LC1273" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1274" class="blob-num js-line-number" data-line-number="1274"></td>
<td id="LC1274" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1275" class="blob-num js-line-number" data-line-number="1275"></td>
<td id="LC1275" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">state_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1276" class="blob-num js-line-number" data-line-number="1276"></td>
<td id="LC1276" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._state_size</td>
</tr>
<tr>
<td id="L1277" class="blob-num js-line-number" data-line-number="1277"></td>
<td id="LC1277" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1278" class="blob-num js-line-number" data-line-number="1278"></td>
<td id="LC1278" class="blob-code blob-code-inner js-file-line"> <span class="pl-en">@</span><span class="pl-c1">property</span></td>
</tr>
<tr>
<td id="L1279" class="blob-num js-line-number" data-line-number="1279"></td>
<td id="LC1279" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-en">output_size</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>):</td>
</tr>
<tr>
<td id="L1280" class="blob-num js-line-number" data-line-number="1280"></td>
<td id="LC1280" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> <span class="pl-c1">self</span>._output_size</td>
</tr>
<tr>
<td id="L1281" class="blob-num js-line-number" data-line-number="1281"></td>
<td id="LC1281" class="blob-code blob-code-inner js-file-line">
</td>
</tr>
<tr>
<td id="L1282" class="blob-num js-line-number" data-line-number="1282"></td>
<td id="LC1282" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">def</span> <span class="pl-c1">__call__</span>(<span class="pl-smi"><span class="pl-smi">self</span></span>, <span class="pl-smi">inputs</span>, <span class="pl-smi">state</span>, <span class="pl-smi">scope</span><span class="pl-k">=</span><span class="pl-c1">None</span>):</td>
</tr>
<tr>
<td id="L1283" class="blob-num js-line-number" data-line-number="1283"></td>
<td id="LC1283" class="blob-code blob-code-inner js-file-line"> scope <span class="pl-k">=</span> scope <span class="pl-k">or</span> <span class="pl-c1">self</span>._cell_name</td>
</tr>
<tr>
<td id="L1284" class="blob-num js-line-number" data-line-number="1284"></td>
<td id="LC1284" class="blob-code blob-code-inner js-file-line"> output, state <span class="pl-k">=</span> <span class="pl-c1">self</span>._cell_fn(inputs, state, <span class="pl-v">scope</span><span class="pl-k">=</span>scope)</td>
</tr>
<tr>
<td id="L1285" class="blob-num js-line-number" data-line-number="1285"></td>
<td id="LC1285" class="blob-code blob-code-inner js-file-line"> <span class="pl-k">return</span> output, state</td>
</tr>
</table>
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| 67.591094 | 766 | 0.599302 | 72,516 | 449,278 | 3.688096 | 0.073184 | 0.097085 | 0.114793 | 0.067266 | 0.825554 | 0.813592 | 0.796415 | 0.780236 | 0.767744 | 0.575447 | 0 | 0.053817 | 0.184663 | 449,278 | 6,646 | 767 | 67.601264 | 0.676271 | 0 | 0 | 0.513125 | 0 | 0.444565 | 0.343526 | 0.036417 | 0 | 0 | 0 | 0 | 0.000618 | 0 | null | null | 0.000618 | 0.004169 | null | null | 0.000154 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f720c4b0ba8a3112b5e4c2e356fdfa9e370b254c | 11,793 | py | Python | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Classification (U)
"""Program: server_connect.py
Description: Unit testing of Server.connect in mongo_class.py.
Usage:
test/unit/mongo_class/server_connect.py
Arguments:
"""
# Libraries and Global Variables
# Standard
import sys
import os
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
# Third-party
import mock
# Local
sys.path.append(os.getcwd())
import mongo_class
import version
__version__ = version.__version__
class UnitTest(unittest.TestCase):
"""Class: UnitTest
Description: Class which is a representation of a unit testing.
Methods:
setUp
test_auth_mech3
test_auth_mech2
test_auth_mech
test_conn_false2
test_conn_false
test_conn_true2
test_conn_true
test_fail_get_srv_attr2
test_fail_get_srv_attr
test_auth_arg4
test_auth_arg3
test_auth_arg2
test_auth_arg
test_no_auth2
test_no_auth
"""
def setUp(self):
"""Function: setUp
Description: Initialization for unit testing.
Arguments:
"""
self.name = "Mongo_Server"
self.user = "mongo_user"
self.japd = "mongo_pd"
self.host = "host_server"
self.port = 27017
self.dbs = "test"
self.coll = None
self.db_auth = None
self.conf_file = "Conf_File"
self.errmsg = "Error Message"
self.auth_mech = "SCRAM-SHA-1"
self.auth_mech2 = "MONGODB-CR"
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_mech3(self, mock_cmd, mock_client):
"""Function: test_auth_mech3
Description: Test with auth_mech set to SCRAM-SHA-1.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True, auth_mech=self.auth_mech)
mongo.conn = False
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port,
mongo.auth_mech),
(self.name, self.user, self.japd, self.host, self.port,
self.auth_mech))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_mech2(self, mock_cmd, mock_client):
"""Function: test_auth_mech2
Description: Test with auth_mech set to MONGODB-CR.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True, auth_mech=self.auth_mech2)
mongo.conn = False
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port,
mongo.auth_mech),
(self.name, self.user, self.japd, self.host, self.port,
self.auth_mech2))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_mech(self, mock_cmd, mock_client):
"""Function: test_auth_mech
Description: Test with auth_mech default.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True)
mongo.conn = False
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port,
mongo.auth_mech),
(self.name, self.user, self.japd, self.host, self.port,
self.auth_mech))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_conn_false2(self, mock_cmd, mock_client):
"""Function: test_conn_false2
Description: Test with conn set to False.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True)
mongo.conn = False
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_conn_false(self, mock_cmd, mock_client):
"""Function: test_conn_false
Description: Test with conn set to False.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True)
mongo.conn = False
self.assertEqual(mongo.connect(), (True, None))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_conn_true2(self, mock_cmd, mock_client):
"""Function: test_conn_true2
Description: Test with conn set to True.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True)
mongo.conn = True
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_conn_true(self, mock_cmd, mock_client):
"""Function: test_conn_true
Description: Test with conn set to True.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=True, use_arg=True)
mongo.conn = True
self.assertEqual(mongo.connect(), (True, None))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_fail_get_srv_attr2(self, mock_cmd, mock_client):
"""Function: test_fail_get_srv_attr2
Description: Test with failed get_srv_attr call.
Arguments:
"""
mock_cmd.return_value = (False, self.errmsg)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port)
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_fail_get_srv_attr(self, mock_cmd, mock_client):
"""Function: test_fail_get_srv_attr
Description: Test with failed get_srv_attr call.
Arguments:
"""
mock_cmd.return_value = (False, self.errmsg)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port)
self.assertEqual(mongo.connect(), (False, self.errmsg))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_arg4(self, mock_cmd, mock_client):
"""Function: test_auth_arg4
Description: Test with arg present and no auth.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=False)
self.assertEqual(mongo.connect(), (True, None))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_arg3(self, mock_cmd, mock_client):
"""Function: test_auth_arg3
Description: Test with arg present and no auth.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port,
auth=False)
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_arg2(self, mock_cmd, mock_client):
"""Function: test_auth_arg2
Description: Test with auth and arg present.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port)
self.assertEqual(mongo.connect(), (True, None))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_auth_arg(self, mock_cmd, mock_client):
"""Function: test_auth_arg
Description: Test with auth and arg present.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(
self.name, self.user, self.japd, host=self.host, port=self.port)
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_no_auth2(self, mock_cmd, mock_client):
"""Function: test_no_auth2
Description: Test with no auth present.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(self.name, self.user, self.japd,
host=self.host, port=self.port, auth=False)
mongo.connect()
self.assertEqual(
(mongo.name, mongo.user, mongo.japd, mongo.host, mongo.port),
(self.name, self.user, self.japd, self.host, self.port))
@mock.patch("mongo_class.pymongo.MongoClient")
@mock.patch("mongo_class.Server.get_srv_attr")
def test_no_auth(self, mock_cmd, mock_client):
"""Function: test_no_auth
Description: Test with no auth present.
Arguments:
"""
mock_cmd.return_value = (True, None)
mock_client.return_value = True
mongo = mongo_class.Server(self.name, self.user, self.japd,
host=self.host, port=self.port, auth=False)
self.assertEqual(mongo.connect(), (True, None))
if __name__ == "__main__":
unittest.main()
| 27.425581 | 78 | 0.620114 | 1,491 | 11,793 | 4.688799 | 0.075788 | 0.06866 | 0.070948 | 0.081533 | 0.844228 | 0.832499 | 0.832499 | 0.823344 | 0.755114 | 0.755114 | 0 | 0.004635 | 0.26821 | 11,793 | 429 | 79 | 27.48951 | 0.805446 | 0.172136 | 0 | 0.765306 | 0 | 0 | 0.11207 | 0.101584 | 0 | 0 | 0 | 0 | 0.076531 | 1 | 0.081633 | false | 0 | 0.035714 | 0 | 0.122449 | 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 |
e3d838b354daecb990b9d25ed9222be9e7a60e84 | 6,160 | gyp | Python | src/trusted/validator_x86/ncval.gyp | kapkic/native_client | 51c8bc8c249d55606232ae011bdfc8b4cab3d794 | [
"BSD-3-Clause"
] | 1 | 2021-12-23T00:36:43.000Z | 2021-12-23T00:36:43.000Z | src/trusted/validator_x86/ncval.gyp | kapkic/native_client | 51c8bc8c249d55606232ae011bdfc8b4cab3d794 | [
"BSD-3-Clause"
] | null | null | null | src/trusted/validator_x86/ncval.gyp | kapkic/native_client | 51c8bc8c249d55606232ae011bdfc8b4cab3d794 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2011 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# TODO(bradchen): eliminate need for the warning flag removals below
{
'includes': [
'../../../build/common.gypi',
],
'target_defaults': {
'variables': {
'target_base': 'none',
},
'target_conditions': [
['target_base=="ncdis_util"', {
'sources': [
'ncdis_segments.c',
'nc_read_segment.c',
],
'defines': [
'NACL_TRUSTED_BUT_NOT_TCB',
],
'cflags!': [
'-Wextra',
'-Wswitch-enum',
'-Wsign-compare'
],
'xcode_settings': {
'WARNING_CFLAGS!': [
'-Wextra',
'-Wswitch-enum',
'-Wsign-compare'
],
},
}],
['target_base=="ncval"', {
'sources': [
'ncval.c',
],
'defines': [
'NACL_TRUSTED_BUT_NOT_TCB',
],
'cflags!': [
'-Wextra',
'-Wswitch-enum',
'-Wsign-compare'
],
'xcode_settings': {
'WARNING_CFLAGS!': [
'-Wextra',
'-Wswitch-enum',
'-Wsign-compare'
],
},
}],
],
},
# ----------------------------------------------------------------------
'conditions': [
['target_arch=="ia32"', {
'targets': [
{
'target_name': 'ncdis_util_x86_32',
'type': 'static_library',
'variables': {
'target_base': 'ncdis_util',
},
'sources': ['ncenuminsts_x86_32.c'],
}, {
'target_name': 'ncval_x86_32',
'type': 'executable',
'variables': {
'target_base': 'ncval',
},
'dependencies': [
'<(DEPTH)/native_client/src/shared/utils/utils.gyp:utils',
'<(DEPTH)/native_client/src/trusted/validator/ncfileutils.gyp:ncfileutils_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncdis_decode_tables.gyp:ncdis_decode_tables_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncval_x86_decoder.gyp:nc_opcode_modeling_verbose_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_verbose_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncdis_seg_sfi_verbose_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncval_seg_sfi_x86_32',
'<(DEPTH)/native_client/src/trusted/validator/x86/validate_x86.gyp:ncval_base_verbose_x86_32',
'ncdis_util_x86_32',
],
}],
}],
['OS=="win" and target_arch=="ia32"', {
'targets': [
{
'target_name': 'ncdis_util_x86_64',
'type': 'static_library',
'variables': {
'target_base': 'ncdis_util',
'win_target': 'x64',
},
'sources': ['ncenuminsts_x86_64.c'],
}, {
'target_name': 'ncval_x86_64',
'type': 'executable',
'variables': {
'target_base': 'ncval',
'win_target': 'x64',
},
'dependencies': [
'<(DEPTH)/native_client/src/shared/utils/utils.gyp:utils64',
'<(DEPTH)/native_client/src/trusted/validator/ncfileutils.gyp:ncfileutils_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncdis_decode_tables.gyp:ncdis_decode_tables_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncval_x86_decoder.gyp:nc_opcode_modeling_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncdis_seg_sfi_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncval_seg_sfi_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/validate_x86.gyp:ncval_base_verbose_x86_64',
'ncdis_util_x86_64',
],
}],
}],
['target_arch=="x64"', {
'targets': [
{
'target_name': 'ncdis_util_x86_64',
'type': 'static_library',
'variables': {
'target_base': 'ncdis_util',
},
'sources': ['ncenuminsts_x86_64.c'],
}, {
'target_name': 'ncval_x86_64',
'type': 'executable',
'variables': {
'target_base': 'ncval',
},
'dependencies': [
'<(DEPTH)/native_client/src/shared/utils/utils.gyp:utils',
'<(DEPTH)/native_client/src/trusted/validator/ncfileutils.gyp:ncfileutils_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncdis_decode_tables.gyp:ncdis_decode_tables_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/decoder/ncval_x86_decoder.gyp:nc_opcode_modeling_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_reg_sfi/ncval_reg_sfi.gyp:ncval_reg_sfi_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncdis_seg_sfi_verbose_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/ncval_seg_sfi/ncval_seg_sfi.gyp:ncval_seg_sfi_x86_64',
'<(DEPTH)/native_client/src/trusted/validator/x86/validate_x86.gyp:ncval_base_verbose_x86_64',
'ncdis_util_x86_64',
],
}],
}],
[ 'target_arch=="arm"', {
'targets': []
}],
],
}
| 40 | 127 | 0.583117 | 687 | 6,160 | 4.84425 | 0.152838 | 0.100962 | 0.137921 | 0.16226 | 0.880108 | 0.866587 | 0.866587 | 0.866587 | 0.866587 | 0.834135 | 0 | 0.046766 | 0.257143 | 6,160 | 153 | 128 | 40.261438 | 0.680507 | 0.049026 | 0 | 0.70068 | 0 | 0 | 0.647129 | 0.460185 | 0 | 0 | 0 | 0.006536 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
580f756c6ee61ae2dc9cd5280e4b79ea232d0449 | 23,478 | py | Python | api/test/test_ixx.py | WeiShiwei/tornado_glearn | 5e74bbaaee4d2b8c5abf3b60cffbe54694a3bc6f | [
"Apache-2.0"
] | null | null | null | api/test/test_ixx.py | WeiShiwei/tornado_glearn | 5e74bbaaee4d2b8c5abf3b60cffbe54694a3bc6f | [
"Apache-2.0"
] | null | null | null | api/test/test_ixx.py | WeiShiwei/tornado_glearn | 5e74bbaaee4d2b8c5abf3b60cffbe54694a3bc6f | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
u"""
User: xulin
Jerry.Fang
Date: 13-12-19
"""
import os, sys
sys.path.append( os.path.join( os.path.abspath(os.path.dirname(__file__)) , '../..'))
sys.path.append( os.path.join( os.path.abspath(os.path.dirname(__file__)) , '../../glearn/crf/ixx_glodon'))
import requests
import ujson
import unittest
from template.basic_template_generator import BasicTemplate
from extractor.data_extractor import template_redis
from model.session import *
from model.basic_element import BasicElement
from statistic.stat_info_querier import StatInfoQuerier
from model.base_material_type import *
from model.base_material_type_attr import *
from model.base_material_type_attr_value import *
from model.base_material_type_attr_rule import *
from model.base_material_type_attr_key_word import *
from sqlalchemy.orm import aliased
class TestApiFunctions(unittest.TestCase):
# def setUp(self):
# # Initial test database.
# m_basic_template = BasicTemplate()
# m_basic_template.set_primary_path('../../../InputFile_test/primary_rule.xls')
# m_basic_template.clean_table()
### 增删改查template
# def test_api_add_all_value_template(self):
# data = {
# 'templates': ujson.dumps([
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '15mm2',
# },
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name2(mm2)',
# 'attr_val': '16',
# },
# ])
# }
# requests.post('http://127.0.0.1:9700/v1/template/create', data=data)#>
# parent_bmt = aliased(BaseMaterialType)
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrValue).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_values)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)', BaseMaterialTypeAttrValue.description==u'15mm2').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrValue).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_values)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)', BaseMaterialTypeAttrValue.description==u'16mm2').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)', BaseMaterialTypeAttr.is_all_match==True).all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)', BaseMaterialTypeAttrValue.description==u'16mm2', BaseMaterialTypeAttrRule.rule_description==u'\d+[.]{0,1}\d*[/]{0,1}\d*mm2').all()
# self.assertEqual(1, len(be))
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)', BaseMaterialTypeAttrValue.description==u'16mm2', BaseMaterialTypeAttrRule.rule_description==u're.I').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)', BaseMaterialTypeAttrValue.description==u'15mm2', BaseMaterialTypeAttrRule.rule_description==u'\d+[.]{0,1}\d*[/]{0,1}\d*mm2').all()
# self.assertEqual(1, len(be))
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)', BaseMaterialTypeAttrValue.description==u'15mm2', BaseMaterialTypeAttrRule.rule_description==u're.I').all()
# self.assertEqual(1, len(be))
def test_api_retrieve_template(self):
data = {
'templates': ujson.dumps([
{
'first_type_code': '99',
'second_type_code': '88',
'first_type_name': '测试类lv1',
'second_type_name': '测试类lv2',
'attr_name': '测试类attr_name3',
'attr_val': 'V聚氯乙烯护套',
},
{
'first_type_code': '99',
'second_type_code': '88',
'first_type_name': '测试类lv1',
'second_type_name': '测试类lv2',
'attr_name': '测试类attr_name3',
'attr_val': 'JY聚氯乙烯绝缘',
},
])
}
requests.post('http://127.0.0.1:9700/v1/template/create', data=data)
# # Check result 1.
# data = {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '',
# 'page': '1',
# 'page_size': '5'
# }
# res = requests.get('http://127.0.0.1:9700/v1/template/retrieve', params=data)
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'total': 1,
# u'rows': {
# u'attr_name': [u'测试类attr_name3']
# }
# }
# self.assertEqual(expect_result, actual_result)
# # Check result 2.
# data = {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '测试类attr_name3',
# 'page': '1',
# 'page_size': '3'
# }
# res = requests.get('http://127.0.0.1:9700/v1/template/retrieve', params=data)
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'total': 2,
# u'rows': {
# u'V聚氯乙烯护套': 1,
# u'JY聚氯乙烯绝缘': 2,
# u'attr_rule': [
# u'-attr_rule;-all_value;',
# 0,
# u'-attr_rule;-key_word;JY_JY聚氯乙烯绝缘;V_V聚氯乙烯护套;',
# 0
# ]
# }
# }
# self.assertEqual(expect_result, actual_result)
# # Check result 3.
# data = {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '测试类attr_name3',
# 'page': '3',
# 'page_size': '3'
# }
# res = requests.get('http://127.0.0.1:9700/v1/template/retrieve', params=data)
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'total': 2,
# u'rows': {
# u'attr_rule': [
# u'-attr_rule;-all_value;',
# 0,
# u'-attr_rule;-key_word;JY_JY聚氯乙烯绝缘;V_V聚氯乙烯护套;',
# 0
# ]
# }
# }
# self.assertEqual(expect_result, actual_result)
# def test_api_update_template(self):
# data = {
# 'templates': ujson.dumps([
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '15mm2',
# },
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name3',
# 'attr_val': 'JY聚氯乙烯绝缘',
# },
# ])
# }
# requests.post('http://127.0.0.1:9700/v1/template/create', data=data)
# parent_bmt = aliased(BaseMaterialType)
# data = {
# 'unique_id': '',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '测试类attr_name2(mm2)',
# }
# requests.post('http://127.0.0.1:9700/v1/template/update', data=data)
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)').all()
# self.assertEqual(1, len(be))
# data = {
# 'unique_id': '1',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '18mm2',
# }
# requests.post('http://127.0.0.1:9700/v1/template/update', data=data)
# data = {
# 'unique_id': '2',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name3',
# 'attr_val': 'YJV聚氯乙烯绝缘',
# }
# requests.post('http://127.0.0.1:9700/v1/template/update', data=data)
# # check result.
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrValue).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_values)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttrValue.description==u'18mm2').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrValue).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_values)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name3', BaseMaterialTypeAttrValue.description==u'YJV聚氯乙烯绝缘').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)').all()
# self.assertEqual(True, be[0][2].is_all_match)
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)', BaseMaterialTypeAttrRule.rule_description==u'\d+[.]{0,1}\d*[/]{0,1}\d*mm2').all()
# self.assertEqual(1, len(be))
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrRule).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_rules)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name2(mm2)', BaseMaterialTypeAttrRule.rule_description==u're.I').all()
# self.assertEqual(1, len(be))
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrKeyWord).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_key_words)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name3', BaseMaterialTypeAttrKeyWord.key_words==u'YJV_YJV聚氯乙烯绝缘').all()
# self.assertEqual(1, len(be))
# def test_api_delete_template(self):
# data = {
# 'templates': ujson.dumps([
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '15mm2',
# },
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name3',
# 'attr_val': 'JY聚氯乙烯绝缘',
# },
# ])
# }
# requests.post('http://127.0.0.1:9700/v1/template/create', data=data)
# # delete attribute name.
# data = {
# 'unique_id': '',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '测试类attr_name1(mm2)'
# }
# requests.post('http://127.0.0.1:9700/v1/template/delete', data=data)
# # Check
# parent_bmt = aliased(BaseMaterialType)
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr, BaseMaterialTypeAttrValue).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs).join(BaseMaterialTypeAttr.base_material_type_attr_values)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)').all()
# self.assertEqual(0, len(be))
# # delete attribute rule.
# data = {
# 'unique_id': '2',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '测试类attr_name3'
# }
# requests.post('http://127.0.0.1:9700/v1/template/delete', data=data)
# # Check.
# with get_session() as session:
# be = session.query(BaseMaterialType, parent_bmt, BaseMaterialTypeAttr).join((parent_bmt, parent_bmt.id == BaseMaterialType.parent_id)).join(BaseMaterialType.base_material_type_attrs)\
# .filter(BaseMaterialType.code == u'88', parent_bmt.code == u'99', BaseMaterialTypeAttr.description==u'测试类attr_name1(mm2)', BaseMaterialTypeAttrValue.description==u'JY聚氯乙烯绝缘').all()
# self.assertEqual(0, len(be))
# # delete attribute rule.
# data = {
# 'unique_id': '2',
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'attr_name': '测试类attr_name3'
# }
###
# def test_api_extract_template(self):
# data = {
# 'templates': ujson.dumps([
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name1(mm2)',
# 'attr_val': '15mm2',
# },
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': '测试类attr_name3',
# 'attr_val': 'JY聚氯乙烯绝缘',
# },
# {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'first_type_name': '测试类lv1',
# 'second_type_name': '测试类lv2',
# 'attr_name': 'assemblyAttrName',
# 'attr_val': "JYV200|{'聚氯':'J','乙烯':'v','绝缘':'v','额定电压':'200'}",
# },
# ])
# }
# requests.post('http://127.0.0.1:9700/v1/template/create', data=data) ### 向表中插入相应的数据
# import pdb;pdb.set_trace()
#-------------------------------------------------------------------------------------
# # extract info.
# data = {
# 'first_type_code': '25',
# 'second_type_code': '88',
# 'product_info': '8.7/15kV\tJYV\t一芯 15m㎡\t结构7\tBB'
# }
# res = requests.post('http://127.0.0.1:9700/v1/extract', data=data)
# # Check result.
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'first_type_code': u'25',
# u'second_type_code': u'88',
# u'product_info': u'8.7/15kV\tJYV\t一芯 15m㎡\t结构7\tBB',
# u'result': {}
# }
# self.assertEqual(expect_result, actual_result)
#-------------------------------------------------------------------------------------
# extract info.
# data = {
# 'first_type_code': '99',
# 'second_type_code': '88',
# 'product_info': '8.7/15kV\tJYV200\t一芯 15m㎡\t结构7\tBB' ###JYV<->JYV200
# }
# res = requests.post('http://127.0.0.1:9700/v1/extract', data=data)
# import pdb;pdb.set_trace()
# #-----------------------------------------------------------------------------------------------
# #(Pdb) actual_result
# # {u'product_info': u'8.7/15kV\tJYV200\t\u4e00\u82af 15m\u33a1\t\u7ed3\u67847\tBB', u'first_type_code': u'99', u'second_type_code': u'88', u'result': {u'\u6d4b\u8bd5\u7c7battr_name1(mm2)': u'\u805a\u6c2f\u4e59\u70ef(\u6750\u8d28)', u'\u6d4b\u8bd5\u7c7battr_name3': u'200V(\u989d\u5b9a\u7535\u538b)', u'\u65e0\u6cd5\u89e3\u6790\u90e8\u5206': u'8.7/15kV\tV200\t\u4e00\u82af\t\u7ed3\u67847\tBB\t'}}
# #-----------------------------------------------------------------------------------------------
# # Check result.
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'first_type_code': u'99',
# u'second_type_code': u'88',
# u'product_info': u'8.7/15kV\tJYV\t一芯 15m㎡\t结构7\tBB',
# u'result': {
# u'测试类attr_name1(mm2)': u'15mm2\t',
# u'测试类attr_name3': u'JY聚氯乙烯绝缘',
# u'无法解析部分': u'8.7/15kV\tV\t一芯\t结构7\tBB\t',
# }
# }
# self.assertEqual(expect_result, actual_result)
# pass
# def test_api_stat_heart(self):
# data = {
# 'heart_request': 1,
# }
# res = requests.get('http://127.0.0.1:9700/v1/stat/heart', params=data)
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'heart_response': u'OK',
# }
# self.assertEqual(expect_result, actual_result)
# def test_api_stat_query(self):
# # initial
# template_redis.flushdb()
# data = {
# 'query_msg_count': 1,
# 'query_extract_rate': 1,
# 'query_extract_time': 1,
# }
# res = requests.get('http://127.0.0.1:9700/v1/stat/query', params=data)
# actual_result = ujson.loads(res.content)
# expect_result = {
# u'msg_count': 0,
# u'extract_rate': u'0.0%',
# u'extract_time': u'0ms',
# }
# self.assertEqual(expect_result, actual_result)
# # record and query.
# StatInfoQuerier.store_val(
# u'msg_total_time', StatInfoQuerier.get_val(u'msg_total_time')+1000
# )
# StatInfoQuerier.store_val(
# u'msg_count', StatInfoQuerier.get_val(u'msg_count')+20
# )
# StatInfoQuerier.store_val(
# u'msg_total_len', StatInfoQuerier.get_val(u'msg_total_len')+300000
# )
# StatInfoQuerier.store_val(
# u'msg_extract_len', StatInfoQuerier.get_val(u'msg_extract_len')+289000
# )
# data = {
# 'query_msg_count': 1,
# 'query_extract_rate': 1,
# 'query_extract_time': 1,
# 'query_msg_count_error1': 2,
# 'query_msg_count_error2': u'',
# }
# expect_result1 = {
# u'msg_count': 20,
# u'extract_rate': u'96.3333333333%',
# u'extract_time': u'50ms',
# }
# res = requests.get('http://127.0.0.1:9700/v1/stat/query', params=data)
# actual_result = ujson.loads(res.content)
# self.assertEqual(expect_result1, actual_result)
# Run test cases.
if __name__ == '__main__':
unittest.main()
| 50.059701 | 406 | 0.561845 | 2,444 | 23,478 | 5.145663 | 0.096972 | 0.047948 | 0.041985 | 0.02799 | 0.860369 | 0.845817 | 0.821088 | 0.806536 | 0.800175 | 0.785226 | 0 | 0.044654 | 0.278899 | 23,478 | 468 | 407 | 50.166667 | 0.697696 | 0.812803 | 0 | 0.232558 | 0 | 0 | 0.080665 | 0.006806 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.348837 | 0 | 0.395349 | 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 | 1 | 0 | 0 | 0 | 0 | 8 |
54445a671328082a143adfd59ced533672b1c3c2 | 26,109 | py | Python | openstack_dashboard/api/sds_controller.py | iostackproject/SDS-dashboard | efa3d7968c738bfb10bc19776f24f2937d5802d8 | [
"Apache-2.0"
] | 1 | 2021-01-20T00:14:15.000Z | 2021-01-20T00:14:15.000Z | openstack_dashboard/api/sds_controller.py | iostackproject/SDS-dashboard | efa3d7968c738bfb10bc19776f24f2937d5802d8 | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/api/sds_controller.py | iostackproject/SDS-dashboard | efa3d7968c738bfb10bc19776f24f2937d5802d8 | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
from __future__ import unicode_literals
import json
import requests
from horizon.utils.memoized import memoized # noqa
# TODO: Take parameters from a config file
URL_BASIC = "http://127.0.0.1:9000"
@memoized
def sds_controller_api(request):
return request.user.token.id
############################## # Swift API # ##############################
# # Swift - SLAs
def bw_add_sla(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/bw/slas"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def bw_get_all_slas(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/bw/slas"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def bw_update_sla(request, sla_id, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/bw/sla/" + str(sla_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def bw_get_sla(request, sla_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/bw/sla/" + str(sla_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def bw_delete_sla(request, sla_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/bw/sla/" + str(sla_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Swift - Sorting Methods
def bw_add_sort_method(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sort_nodes"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def bw_get_all_sort_method(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sort_nodes"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def bw_update_sort_method(request, name, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sort_nodes/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def bw_get_sort_method(request, name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sort_nodes/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def bw_delete_sort_method(request, name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sort_nodes/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Swift - Tenants
def swift_list_tenants(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/tenants"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def enable_sds(request, tenant_name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/tenants"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
parameters = {"tenant_name": tenant_name}
r = requests.post(url, json.dumps(parameters), headers=headers)
return r
def new_storage_policy(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/sdspolicies"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
# # Swift - Storage Policies
def swift_list_storage_policies(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/swift/storage_policies"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
############################## # Registry DSL API # ##############################
# # Registry DSL - Storage Nodes
def registry_storage_node(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/snode"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "text/plain"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def list_storage_nodes(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/snode"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "text/plain"
r = requests.get(url, headers=headers)
return r
def remove_storage_nodes(request, storage_node_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/snode/" + str(storage_node_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Policies
def dsl_add_policy(request, policy):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/dynamic_policy"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "text/plain"
r = requests.post(url, policy, headers=headers)
return r
# # Registry DSL - Static Policies
def dsl_get_all_static_policies(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/static_policy"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_update_static_policy(request, policy_id, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/static_policy/" + str(policy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def dsl_get_static_policy(request, policy_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/static_policy/" + str(policy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_delete_static_policy(request, policy_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/static_policy/" + str(policy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Dynamic Policies
def list_dynamic_policies(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/dynamic_policy"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def remove_dynamic_policy(request, policy_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/dynamic_policy/" + str(policy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# TODO: Search usages and change it to dsl_get_all_workload_metris
def list_metrics(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
# # Registry - Metric Modules
def mtr_add_metric_module_metadata(request, data, in_memory_file):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module/data"
headers["X-Auth-Token"] = str(token)
# Content-Type header will be set to multipart by django because a file is uploaded
files = {'file': (in_memory_file.name, in_memory_file.read())}
data_to_send = {'metadata': json.dumps(data)}
r = requests.post(url, data_to_send, files=files, headers=headers)
return r
def mtr_get_all_metric_modules(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def mtr_update_metric_module(request, metric_module_id, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module/" + str(metric_module_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def mtr_get_metric_module(request, metric_module_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module/" + str(metric_module_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def mtr_delete_metric_module(request, metric_module_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module/" + str(metric_module_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
def mtr_download_metric_module_data(request, metric_module_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metric_module/" + str(metric_module_id) + "/data"
headers["X-Auth-Token"] = str(token)
r = requests.get(url, headers=headers)
return r
# # Registry DSL - Metrics Workload
def dsl_add_workload_metric(request, name, network_location, metric_type):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
parameters = {"name": str(name), "network_location": str(network_location), "metric_type": str(metric_type)}
r = requests.post(url, json.dumps(parameters), headers=headers)
return r
def dsl_get_all_workload_metrics(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_update_workload_metric(request, metric_name, network_location=None, metric_type=None):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics/" + str(metric_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
parameters = {}
if network_location is not None:
parameters["network_location"] = str(network_location)
if metric_type is not None:
parameters["metric_type"] = str(metric_type)
if len(parameters) == 0:
raise ValueError
r = requests.put(url, json.dumps(parameters), headers=headers)
return r
def dsl_get_metric_metadata(request, metric_name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics/" + str(metric_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_delete_workload_metric(request, metric_name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/metrics/" + str(metric_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Filters
def dsl_add_filter(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/filters"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def dsl_get_all_filters(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/filters"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_update_filter(request, name, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/filters/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def dsl_get_filter_metadata(request, name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/filters/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_delete_filter(request, name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/filters/" + str(name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Tenants Groups
def dsl_create_tenants_group(request, name, tenants_list):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
# parameters = {"name": str(name), "tenants": str(tenants_list)}
# r = requests.post(url, json.dumps(parameters), headers=headers)
r = requests.post(url, json.dumps(tenants_list), headers=headers)
return r
def dsl_get_all_tenants_groups(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_list_tenants_group(request, group_name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants/" + str(group_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_add_tenant_group_member(request, group_name, tenant_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants/" + str(group_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
# TODO
parameters = {"new": str(tenant_id)}
r = requests.put(url, json.dumps(parameters), headers=headers)
return r
def dsl_delete_tenants_group(request, group_name):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants/" + str(group_name)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
def dsl_delete_tenant_group_member(request, group_name, tenant_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/gtenants/" + str(group_name) + "/tenants/" + str(tenant_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Object Types
def dsl_get_all_object_types(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/object_type"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_create_object_type(request, name, extensions):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/object_type"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
parameters = {"name": str(name), "types_list": extensions}
r = requests.post(url, json.dumps(parameters), headers=headers)
return r
def dsl_get_object_type(request, object_type_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/object_type/" + str(object_type_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_update_object_type(request, object_type_id, extensions):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/object_type/" + str(object_type_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(extensions), headers=headers)
return r
def dsl_delete_object_type(request, object_type_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/object_type/" + str(object_type_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
# # Registry DSL - Nodes
def dsl_get_all_nodes(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/nodes"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_get_node_detail(request, node_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/nodes/" + str(node_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def dsl_update_node(request, node_id, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/registry/nodes/" + str(node_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
############################## # Filters API # ##############################
# Filters - Filters
def fil_create_filter(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def fil_upload_filter_data(request, filter_id, in_memory_file):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(filter_id) + "/data"
headers["X-Auth-Token"] = str(token)
files = {'file': (in_memory_file.name, in_memory_file.read())}
r = requests.put(url, files=files, headers=headers)
return r
def fil_download_filter_data(request, filter_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(filter_id) + "/data"
headers["X-Auth-Token"] = str(token)
r = requests.get(url, headers=headers)
return r
def fil_delete_filter(request, filter_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
def fil_get_filter_metadata(request, filter_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def fil_list_filters(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def fil_update_filter_metadata(request, filter_id, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(data), headers=headers)
return r
def fil_deploy_filter(request, filter_id, account_id, parameters):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(account_id) + "/deploy/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(parameters), headers=headers)
return r
def fil_deploy_filter_with_container(request, filter_id, account_id, container_id, parameters):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(account_id) + "/" + str(container_id) + "/deploy/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, json.dumps(parameters), headers=headers)
return r
def fil_undeploy_filter(request, filter_id, account_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(account_id) + "/undeploy/" + str(filter_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, headers=headers)
return r
def fil_list_deployed_filters(request, account_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/" + str(account_id) + "/deploy"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
# # Filters - Dependencies
def fil_create_dependency(request, data):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.post(url, json.dumps(data), headers=headers)
return r
def fil_upload_dependency_data(request, dependency_id, in_memory_file):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(dependency_id) + "/data"
headers["X-Auth-Token"] = str(token)
files = {'file': (in_memory_file.name, in_memory_file.read())}
r = requests.put(url, files=files, headers=headers)
return r
def fil_delete_dependency(request, dependecy_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(dependecy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.delete(url, headers=headers)
return r
def fil_get_dependency_metadata(request, dependecy_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(dependecy_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def fil_list_dependencies(request):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
def fil_update_dependency_metadata(request, dependency_id, version, permissions):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(dependency_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
parameters = {"version": str(version), "permissions": str(permissions)}
r = requests.put(url, json.dumps(parameters), headers=headers)
return r
def fil_deploy_dependency(request, dependency_id, account_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(account_id) + "/deploy/" + str(dependency_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, headers=headers)
return r
def fil_undeploy_dependency(request, dependency_id, account_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(account_id) + "/undeploy/" + str(dependency_id)
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.put(url, headers=headers)
return r
def fil_list_deployed_dependencies(request, account_id):
token = sds_controller_api(request)
headers = {}
url = URL_BASIC + "/filters/dependencies/" + str(account_id) + "/deploy"
headers["X-Auth-Token"] = str(token)
headers['Content-Type'] = "application/json"
r = requests.get(url, headers=headers)
return r
| 24.701041 | 112 | 0.66659 | 3,337 | 26,109 | 5.029068 | 0.042853 | 0.036229 | 0.072459 | 0.104159 | 0.891729 | 0.872959 | 0.863544 | 0.854725 | 0.850793 | 0.847873 | 0 | 0.000567 | 0.189858 | 26,109 | 1,056 | 113 | 24.724432 | 0.792833 | 0.030564 | 0 | 0.807754 | 0 | 0 | 0.174846 | 0.025593 | 0 | 0 | 0 | 0.000947 | 0 | 1 | 0.122779 | false | 0 | 0.006462 | 0.001616 | 0.252019 | 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 |
54a0f0b56a1ddf037faa30a4391bce8e2b0961ef | 15,920 | py | Python | change_case/change_case.py | SkiftCreative/python-change-case | c86983c948f3090e2931fd4aa006a05f672d8eab | [
"MIT"
] | 1 | 2017-05-04T09:13:39.000Z | 2017-05-04T09:13:39.000Z | change_case/change_case.py | autoferrit/python-change-case | c86983c948f3090e2931fd4aa006a05f672d8eab | [
"MIT"
] | null | null | null | change_case/change_case.py | autoferrit/python-change-case | c86983c948f3090e2931fd4aa006a05f672d8eab | [
"MIT"
] | null | null | null | import os
import re
_underscorer1 = re.compile(r'(.)([A-Z][a-z]+)')
_underscorer2 = re.compile('([a-z0-9])([A-Z])')
def _get_camel_parts(subject: str) -> str:
return ChangeCase.camel_to_snake(subject).split("_")
class ChangeCase(object):
"""
Converts one type of string casing, to another. Easily convert to and from
any of these types:
- camelCase (lower camel case)
- PascalCase (upper camel case)
- WikiCase (PascalCase minus 1 letter words)
- snake_case
- param-case
"""
#
# camelCasing
#
@staticmethod
def camel_to_pascal(subject: str) -> str:
return subject[0].upper() + subject[1:]
@staticmethod
def camel_to_upper_camel(subject: str) -> str:
result = ChangeCase.camel_to_pascal(subject)
return result
@staticmethod
def camel_to_wiki(subject: str) -> str:
parts = _get_camel_parts(subject)
words = [x.title() for x in parts if len(x) > 1]
return "".join(words)
@staticmethod
def camel_to_snake(subject: str) -> str:
subbed = _underscorer1.sub(r'\1_\2', subject)
return _underscorer2.sub(r'\1_\2', subbed).lower()
@staticmethod
def camel_to_param(subject: str) -> str:
parts = _get_camel_parts(subject)
return "-".join(x for x in parts)
#
# END camelCasing
#
#
# PascalCasing
#
@staticmethod
def pascal_to_camel(subject: str) -> str:
return subject[0].lower() + subject[1:]
@staticmethod
def pascal_to_upper_camel(subject: str) -> str:
"""
Really?
:param subject:
:return:
"""
return subject
@staticmethod
def pascal_to_wiki(subject: str) -> str:
parts = _get_camel_parts(subject)
words = [x.title() for x in parts if len(x) > 1]
return "".join(words)
@staticmethod
def pascal_to_snake(subject: str) -> str:
return ChangeCase.camel_to_snake(subject)
@staticmethod
def pascal_to_param(subject: str) -> str:
parts = _get_camel_parts(subject)
return "-".join(x for x in parts)
#
# END PascalCasing
#
#
# WikiCasing
#
@staticmethod
def wiki_to_camel(subject: str) -> str:
return subject[0].lower() + subject[1:]
@staticmethod
def wiki_to_upper_camel(subject: str) -> str:
"""
Really?
:param subject:
:return:
"""
return subject
@staticmethod
def wiki_to_pascal(subject: str) -> str:
return subject
@staticmethod
def wiki_to_snake(subject: str) -> str:
return ChangeCase.camel_to_snake(subject)
@staticmethod
def wiki_to_param(subject: str) -> str:
parts = _get_camel_parts(subject)
return "-".join(x for x in parts)
#
# END WikiCasing
#
#
# snake_casing
#
@staticmethod
def snake_to_camel(subject: str) -> str:
parts = subject.lower().split('_')
return parts[0] + "".join(x.title() for x in parts[1:])
@staticmethod
def snake_to_pascal(subject: str) -> str:
parts = subject.lower().split('_')
return "".join(x.title() for x in parts)
@staticmethod
def snake_to_upper_camel(subject: str) -> str:
return ChangeCase.snake_to_pascal(subject)
@staticmethod
def snake_to_wiki(subject: str) -> str:
parts = subject.lower().split('_')
wiki = [x.title() for x in parts if len(x) > 1]
return "".join(x.title() for x in wiki)
@staticmethod
def snake_to_param(subject: str) -> str:
return subject.lower().replace('_', '-')
#
# END snake_casing
#
#
# param-casing
#
@staticmethod
def param_to_camel(subject: str) -> str:
parts = subject.lower().split('-')
return parts[0] + "".join(x.title() for x in parts[1:])
@staticmethod
def param_to_upper_camel(subject: str) -> str:
return ChangeCase.param_to_pascal(subject)
@staticmethod
def param_to_pascal(subject: str) -> str:
parts = subject.lower().split('-')
return "".join(x.title() for x in parts)
@staticmethod
def param_to_wiki(subject: str) -> str:
parts = subject.lower().split('-')
wiki = [x.title() for x in parts if len(x) > 1]
return "".join(x.title() for x in wiki)
@staticmethod
def param_to_snake(subject: str) -> str:
return subject.lower().replace('-', '_')
#
# END param-casing
#
#
# Tests
#
@staticmethod
def run_tests():
#
# Camel
#
assert ChangeCase.camel_to_upper_camel('snakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.camel_to_upper_camel('SnakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.camel_to_upper_camel('IPhoneHysteria') == 'IPhoneHysteria'
assert ChangeCase.camel_to_upper_camel('iPhoneHysteria') == 'IPhoneHysteria'
print('camel_to_upper_camel tests passed.')
assert ChangeCase.camel_to_pascal('snakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.camel_to_pascal('SnakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.camel_to_pascal('IPhoneHysteria') == 'IPhoneHysteria'
assert ChangeCase.camel_to_pascal('iPhoneHysteria') == 'IPhoneHysteria'
print('camel_to_pascal tests passed.')
assert ChangeCase.camel_to_wiki('snakesOnAPlane') == 'SnakesOnPlane'
assert ChangeCase.camel_to_wiki('SnakesOnAPlane') == 'SnakesOnPlane'
assert ChangeCase.camel_to_wiki('IPhoneHysteria') == 'PhoneHysteria'
assert ChangeCase.camel_to_wiki('iPhoneHysteria') == 'PhoneHysteria'
print('camel_to_wiki tests passed.')
assert ChangeCase.camel_to_snake('snakesOnAPlane') == 'snakes_on_a_plane'
assert ChangeCase.camel_to_snake('SnakesOnAPlane') == 'snakes_on_a_plane'
assert ChangeCase.camel_to_snake('IPhoneHysteria') == 'i_phone_hysteria'
assert ChangeCase.camel_to_snake('iPhoneHysteria') == 'i_phone_hysteria'
print('camel_to_snake tests passed.')
assert ChangeCase.camel_to_param('snakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.camel_to_param('SnakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.camel_to_param('IPhoneHysteria') == 'i-phone-hysteria'
assert ChangeCase.camel_to_param('iPhoneHysteria') == 'i-phone-hysteria'
print('camel_to_param tests passed.')
#
# PascalCase
#
assert ChangeCase.pascal_to_camel('snakesOnAPlane') == 'snakesOnAPlane'
assert ChangeCase.pascal_to_camel('SnakesOnAPlane') == 'snakesOnAPlane'
assert ChangeCase.pascal_to_camel('IPhoneHysteria') == 'iPhoneHysteria'
assert ChangeCase.pascal_to_camel('iPhoneHysteria') == 'iPhoneHysteria'
print('pascal_to_camel tests passed.')
assert ChangeCase.pascal_to_upper_camel('SnakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.pascal_to_upper_camel('SnakesOnAPlane') == 'SnakesOnAPlane'
assert ChangeCase.pascal_to_upper_camel('IPhoneHysteria') == 'IPhoneHysteria'
assert ChangeCase.pascal_to_upper_camel('IPhoneHysteria') == 'IPhoneHysteria'
print('pascal_to_upper_camel tests passed.')
assert ChangeCase.pascal_to_wiki('snakesOnAPlane') == 'SnakesOnPlane'
assert ChangeCase.pascal_to_wiki('SnakesOnAPlane') == 'SnakesOnPlane'
assert ChangeCase.pascal_to_wiki('IPhoneHysteria') == 'PhoneHysteria'
assert ChangeCase.pascal_to_wiki('iPhoneHysteria') == 'PhoneHysteria'
print('pascal_to_wiki tests passed.')
assert ChangeCase.pascal_to_snake('snakesOnAPlane') == 'snakes_on_a_plane'
assert ChangeCase.pascal_to_snake('SnakesOnAPlane') == 'snakes_on_a_plane'
assert ChangeCase.pascal_to_snake('IPhoneHysteria') == 'i_phone_hysteria'
assert ChangeCase.pascal_to_snake('iPhoneHysteria') == 'i_phone_hysteria'
print('pascal_to_snake tests passed.')
assert ChangeCase.pascal_to_param('snakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.pascal_to_param('SnakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.pascal_to_param('IPhoneHysteria') == 'i-phone-hysteria'
assert ChangeCase.pascal_to_param('iPhoneHysteria') == 'i-phone-hysteria'
print('pascal_to_param tests passed.')
#
# WikiCase
#
assert ChangeCase.wiki_to_camel('SnakesOnPlane') == 'snakesOnPlane'
assert ChangeCase.wiki_to_camel('SnakesOnPlane') == 'snakesOnPlane'
assert ChangeCase.wiki_to_camel('PhoneHysteria') == 'phoneHysteria'
assert ChangeCase.wiki_to_camel('PhoneHysteria') == 'phoneHysteria'
print('wiki_to_camel tests passed.')
assert ChangeCase.wiki_to_upper_camel('SnakesOnPlane') == 'SnakesOnPlane'
assert ChangeCase.wiki_to_upper_camel('SnakesOnPlane') == 'SnakesOnPlane'
assert ChangeCase.wiki_to_upper_camel('PhoneHysteria') == 'PhoneHysteria'
assert ChangeCase.wiki_to_upper_camel('PhoneHysteria') == 'PhoneHysteria'
print('wiki_to_upper_camel tests passed.')
assert ChangeCase.wiki_to_pascal('SnakesOnPlane') == 'SnakesOnPlane'
assert ChangeCase.wiki_to_pascal('SnakesOnPlane') == 'SnakesOnPlane'
assert ChangeCase.wiki_to_pascal('PhoneHysteria') == 'PhoneHysteria'
assert ChangeCase.wiki_to_pascal('PhoneHysteria') == 'PhoneHysteria'
print('wiki_to_pascal tests passed.')
assert ChangeCase.wiki_to_snake('SnakesOnPlane') == 'snakes_on_plane'
assert ChangeCase.wiki_to_snake('SnakesOnPlane') == 'snakes_on_plane'
assert ChangeCase.wiki_to_snake('PhoneHysteria') == 'phone_hysteria'
assert ChangeCase.wiki_to_snake('PhoneHysteria') == 'phone_hysteria'
print('wiki_to_snake tests passed.')
assert ChangeCase.wiki_to_param('SnakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.wiki_to_param('SnakesOnAPlane') == 'snakes-on-a-plane'
assert ChangeCase.wiki_to_param('IPhoneHysteria') == 'i-phone-hysteria'
assert ChangeCase.wiki_to_param('IPhoneHysteria') == 'i-phone-hysteria'
print('wiki_to_param tests passed.')
#
# snake_case
#
assert ChangeCase.snake_to_camel('snakes_on_a_plane') == 'snakesOnAPlane'
assert ChangeCase.snake_to_camel('Snakes_On_A_Plane') == 'snakesOnAPlane'
assert ChangeCase.snake_to_camel('snakes_On_a_Plane') == 'snakesOnAPlane'
assert ChangeCase.snake_to_camel('snakes_on_A_plane') == 'snakesOnAPlane'
assert ChangeCase.snake_to_camel('i_phone_hysteria') == 'iPhoneHysteria'
assert ChangeCase.snake_to_camel('i_Phone_Hysteria') == 'iPhoneHysteria'
print('snake_to_camel tests passed.')
assert ChangeCase.snake_to_upper_camel('snakes_on_a_plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_upper_camel('Snakes_On_A_Plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_upper_camel('snakes_On_a_Plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_upper_camel('snakes_on_A_plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_upper_camel('i_phone_hysteria') == 'IPhoneHysteria'
assert ChangeCase.snake_to_upper_camel('i_Phone_Hysteria') == 'IPhoneHysteria'
print('snake_to_upper_camel tests passed.')
assert ChangeCase.snake_to_pascal('snakes_on_a_plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_pascal('Snakes_On_A_Plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_pascal('snakes_On_a_Plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_pascal('snakes_on_A_plane') == 'SnakesOnAPlane'
assert ChangeCase.snake_to_pascal('i_phone_hysteria') == 'IPhoneHysteria'
assert ChangeCase.snake_to_pascal('i_Phone_Hysteria') == 'IPhoneHysteria'
print('snake_to_pascal tests passed.')
assert ChangeCase.snake_to_wiki('snakes_on_a_plane') == 'SnakesOnPlane'
assert ChangeCase.snake_to_wiki('Snakes_On_A_Plane') == 'SnakesOnPlane'
assert ChangeCase.snake_to_wiki('snakes_On_a_Plane') == 'SnakesOnPlane'
assert ChangeCase.snake_to_wiki('snakes_on_A_plane') == 'SnakesOnPlane'
assert ChangeCase.snake_to_wiki('i_phone_hysteria') == 'PhoneHysteria'
assert ChangeCase.snake_to_wiki('i_Phone_Hysteria') == 'PhoneHysteria'
print('snake_to_wiki tests passed.')
assert ChangeCase.snake_to_param('snakes_on_a_plane') == 'snakes-on-a-plane'
assert ChangeCase.snake_to_param('Snakes_On_A_Plane') == 'snakes-on-a-plane'
assert ChangeCase.snake_to_param('snakes_On_a_Plane') == 'snakes-on-a-plane'
assert ChangeCase.snake_to_param('snakes_on_A_plane') == 'snakes-on-a-plane'
assert ChangeCase.snake_to_param('i_phone_hysteria') == 'i-phone-hysteria'
assert ChangeCase.snake_to_param('i_Phone_Hysteria') == 'i-phone-hysteria'
print('snake_to_param tests passed.')
#
# param-case
#
assert ChangeCase.param_to_camel('snakes-on-a-plane') == 'snakesOnAPlane'
assert ChangeCase.param_to_camel('Snakes-On-A-Plane') == 'snakesOnAPlane'
assert ChangeCase.param_to_camel('snakes-On-a-Plane') == 'snakesOnAPlane'
assert ChangeCase.param_to_camel('snakes-on-A-plane') == 'snakesOnAPlane'
assert ChangeCase.param_to_camel('i-phone-hysteria') == 'iPhoneHysteria'
assert ChangeCase.param_to_camel('i-Phone-Hysteria') == 'iPhoneHysteria'
print('param_to_camel tests passed.')
assert ChangeCase.param_to_upper_camel('snakes-on-a-plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_upper_camel('Snakes-On-A-Plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_upper_camel('snakes-On-a-Plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_upper_camel('snakes-on-A-plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_upper_camel('i-phone-hysteria') == 'IPhoneHysteria'
assert ChangeCase.param_to_upper_camel('i-Phone-Hysteria') == 'IPhoneHysteria'
print('param_to_upper_camel tests passed.')
assert ChangeCase.param_to_pascal('snakes-on-a-plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_pascal('Snakes-On-A-Plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_pascal('snakes-On-a-Plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_pascal('snakes-on-A-plane') == 'SnakesOnAPlane'
assert ChangeCase.param_to_pascal('i-phone-hysteria') == 'IPhoneHysteria'
assert ChangeCase.param_to_pascal('i-Phone-Hysteria') == 'IPhoneHysteria'
print('param_to_pascal tests passed.')
assert ChangeCase.param_to_wiki('snakes-on-a-plane') == 'SnakesOnPlane'
assert ChangeCase.param_to_wiki('Snakes-On-A-Plane') == 'SnakesOnPlane'
assert ChangeCase.param_to_wiki('snakes-On-a-Plane') == 'SnakesOnPlane'
assert ChangeCase.param_to_wiki('snakes-on-A-plane') == 'SnakesOnPlane'
assert ChangeCase.param_to_wiki('i-phone-hysteria') == 'PhoneHysteria'
assert ChangeCase.param_to_wiki('i-Phone-Hysteria') == 'PhoneHysteria'
print('param_to_wiki tests passed.')
assert ChangeCase.param_to_snake('snakes-on-a-plane') == 'snakes_on_a_plane'
assert ChangeCase.param_to_snake('Snakes-On-A-Plane') == 'snakes_on_a_plane'
assert ChangeCase.param_to_snake('snakes-On-a-Plane') == 'snakes_on_a_plane'
assert ChangeCase.param_to_snake('snakes-on-A-plane') == 'snakes_on_a_plane'
assert ChangeCase.param_to_snake('i-phone-hysteria') == 'i_phone_hysteria'
assert ChangeCase.param_to_snake('i-Phone-Hysteria') == 'i_phone_hysteria'
print('param_to_snake tests passed.')
if __name__ == '__main__':
ChangeCase.run_tests() | 38.640777 | 87 | 0.675942 | 1,842 | 15,920 | 5.542345 | 0.047231 | 0.188069 | 0.051131 | 0.079538 | 0.905378 | 0.890489 | 0.861593 | 0.7799 | 0.725634 | 0.630718 | 0 | 0.001967 | 0.201759 | 15,920 | 412 | 88 | 38.640777 | 0.801385 | 0.030967 | 0 | 0.334677 | 0 | 0 | 0.285068 | 0.001376 | 0 | 0 | 0 | 0 | 0.483871 | 1 | 0.108871 | false | 0.100806 | 0.008065 | 0.044355 | 0.225806 | 0.100806 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
49ff1655c6eb5fff8477f3d4b25c83434a54f9bc | 184 | py | Python | tests/pyccel/project_rel_imports/runtest.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | null | null | null | tests/pyccel/project_rel_imports/runtest.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | null | null | null | tests/pyccel/project_rel_imports/runtest.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | 1 | 2021-01-08T12:32:51.000Z | 2021-01-08T12:32:51.000Z | # pylint: disable=missing-function-docstring, missing-module-docstring/
from project.folder2.mod3 import one_hundred_plus_sum_to_n_squared
print(one_hundred_plus_sum_to_n_squared(4))
| 36.8 | 71 | 0.86413 | 29 | 184 | 5.068966 | 0.689655 | 0.136054 | 0.190476 | 0.231293 | 0.367347 | 0.367347 | 0.367347 | 0 | 0 | 0 | 0 | 0.017241 | 0.054348 | 184 | 4 | 72 | 46 | 0.827586 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
b71db9daa4f8412d80768902f853de16a49c5699 | 4,930 | py | Python | ceph_deploy/hosts/common.py | alfredodeza/ceph-deploy | 2e03209adf3b5ea8b977dd71e370f210f03a62a0 | [
"MIT"
] | 1 | 2020-07-29T15:09:23.000Z | 2020-07-29T15:09:23.000Z | ceph_deploy/hosts/common.py | alfredodeza/ceph-deploy | 2e03209adf3b5ea8b977dd71e370f210f03a62a0 | [
"MIT"
] | null | null | null | ceph_deploy/hosts/common.py | alfredodeza/ceph-deploy | 2e03209adf3b5ea8b977dd71e370f210f03a62a0 | [
"MIT"
] | null | null | null | from ceph_deploy.util import paths
from ceph_deploy import conf
from ceph_deploy.lib import remoto
from StringIO import StringIO
def ceph_version(conn):
"""
Log the remote ceph-version by calling `ceph --version`
"""
return remoto.process.run(conn, ['ceph', '--version'])
def mon_create(distro, args, monitor_keyring, hostname):
logger = distro.conn.logger
logger.debug('remote hostname: %s' % hostname)
path = paths.mon.path(args.cluster, hostname)
done_path = paths.mon.done(args.cluster, hostname)
init_path = paths.mon.init(args.cluster, hostname, distro.init)
configuration = conf.ceph.load(args)
conf_data = StringIO()
configuration.write(conf_data)
# write the configuration file
distro.conn.remote_module.write_conf(
args.cluster,
conf_data.getvalue(),
args.overwrite_conf,
)
# if the mon path does not exist, create it
distro.conn.remote_module.create_mon_path(path)
logger.debug('checking for done path: %s' % done_path)
if not distro.conn.remote_module.path_exists(done_path):
logger.debug('done path does not exist: %s' % done_path)
if not distro.conn.remote_module.path_exists(paths.mon.constants.tmp_path):
logger.info('creating tmp path: %s' % paths.mon.constants.tmp_path)
distro.conn.remote_module.makedir(paths.mon.constants.tmp_path)
keyring = paths.mon.keyring(args.cluster, hostname)
logger.info('creating keyring file: %s' % keyring)
distro.conn.remote_module.write_monitor_keyring(
keyring,
monitor_keyring,
)
remoto.process.run(
distro.conn,
[
'ceph-mon',
'--cluster', args.cluster,
'--mkfs',
'-i', hostname,
'--keyring', keyring,
],
)
logger.info('unlinking keyring file %s' % keyring)
distro.conn.remote_module.unlink(keyring)
# create the done file
distro.conn.remote_module.create_done_path(done_path)
# create init path
distro.conn.remote_module.create_init_path(init_path)
def mon_add(distro, args, monitor_keyring):
hostname = distro.conn.remote_module.shortname()
logger = distro.conn.logger
path = paths.mon.path(args.cluster, hostname)
monmap_path = paths.mon.monmap(args.cluster, hostname)
done_path = paths.mon.done(args.cluster, hostname)
init_path = paths.mon.init(args.cluster, hostname, distro.init)
configuration = conf.ceph.load(args)
conf_data = StringIO()
configuration.write(conf_data)
# write the configuration file
distro.conn.remote_module.write_conf(
args.cluster,
conf_data.getvalue(),
args.overwrite_conf,
)
# if the mon path does not exist, create it
distro.conn.remote_module.create_mon_path(path)
logger.debug('checking for done path: %s' % done_path)
if not distro.conn.remote_module.path_exists(done_path):
logger.debug('done path does not exist: %s' % done_path)
if not distro.conn.remote_module.path_exists(paths.mon.constants.tmp_path):
logger.info('creating tmp path: %s' % paths.mon.constants.tmp_path)
distro.conn.remote_module.makedir(paths.mon.constants.tmp_path)
keyring = paths.mon.keyring(args.cluster, hostname)
logger.info('creating keyring file: %s' % keyring)
distro.conn.remote_module.write_monitor_keyring(
keyring,
monitor_keyring,
)
# get the monmap
remoto.process.run(
distro.conn,
[
'ceph',
'mon',
'getmap',
'-o',
monmap_path,
],
)
# now use it to prepare the monitor's data dir
remoto.process.run(
distro.conn,
[
'ceph-mon',
'--cluster', args.cluster,
'--mkfs',
'-i', hostname,
'--monmap',
monmap_path,
'--keyring', keyring,
],
)
# add it
remoto.process.run(
distro.conn,
[
'ceph',
'mon',
'add',
hostname,
args.address,
],
)
logger.info('unlinking keyring file %s' % keyring)
distro.conn.remote_module.unlink(keyring)
# create the done file
distro.conn.remote_module.create_done_path(done_path)
# create init path
distro.conn.remote_module.create_init_path(init_path)
# start the mon using the address
remoto.process.run(
distro.conn,
[
'ceph-mon',
'-i',
hostname,
'--public-addr',
args.address,
],
)
| 30.060976 | 83 | 0.590872 | 567 | 4,930 | 4.992945 | 0.134039 | 0.09184 | 0.107383 | 0.147651 | 0.805369 | 0.782762 | 0.782762 | 0.729777 | 0.729777 | 0.729777 | 0 | 0 | 0.303043 | 4,930 | 163 | 84 | 30.245399 | 0.823923 | 0.075659 | 0 | 0.743802 | 0 | 0 | 0.089625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024793 | false | 0 | 0.033058 | 0 | 0.066116 | 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 |
3ffa191f62312905bf2d4052f91b869176d48d94 | 30,685 | py | Python | earning_expectation/factor_earning_expectation.py | flaght/panther | 7920c1b78121cbb9a8cd7907419f5a42cb2aee69 | [
"Apache-2.0"
] | 3 | 2020-01-23T22:23:08.000Z | 2020-10-12T20:02:16.000Z | earning_expectation/factor_earning_expectation.py | flaght/panther | 7920c1b78121cbb9a8cd7907419f5a42cb2aee69 | [
"Apache-2.0"
] | 1 | 2019-10-28T05:53:08.000Z | 2019-10-28T05:53:08.000Z | earning_expectation/factor_earning_expectation.py | flaght/panther | 7920c1b78121cbb9a8cd7907419f5a42cb2aee69 | [
"Apache-2.0"
] | 9 | 2019-08-21T07:48:32.000Z | 2020-04-04T09:17:54.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
@version:
@author: zzh
@file: factor_earning_expectation.py
@time: 2019-9-19
"""
import pandas as pd
class FactorEarningExpectation():
"""
盈利预期
"""
def __init__(self):
__str__ = 'factor_earning_expectation'
self.name = '盈利预测'
self.factor_type1 = '盈利预测'
self.factor_type2 = '盈利预测'
self.description = '个股盈利预测因子'
@staticmethod
def NPFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['net_profit_fy1']):
"""
:name: 一致预期净利润(FY1)
:desc: 一致预期净利润的未来第一年度的预测
:unit: 元
:view_dimension: 10000
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'net_profit_fy1': 'NPFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['net_profit_fy2']):
"""
:name: 一致预期净利润(FY2)
:desc: 一致预期净利润的未来第二年度的预测
:unit: 元
:view_dimension: 10000
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'net_profit_fy2': 'NPFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['eps_fy1']):
"""
:name: 一致预期每股收益（FY1）
:desc: 一致预期每股收益未来第一年度的预测均值
:unit: 元
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'eps_fy1': 'EPSFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['eps_fy2']):
"""
:name: 一致预期每股收益（FY2）
:desc: 一致预期每股收益未来第二年度的预测均值
:unit: 元
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'eps_fy2': 'EPSFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['operating_revenue_fy1']):
"""
:name: 一致预期营业收入（FY1）
:desc: 一致预期营业收入未来第一年度的预测均值
:unit: 元
:view_dimension: 10000
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'operating_revenue_fy1': 'OptIncFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['operating_revenue_fy2']):
"""
:name: 一致预期营业收入（FY2）
:desc: 一致预期营业收入未来第二年度的预测均值
:unit: 元
:view_dimension: 10000
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'operating_revenue_fy2': 'OptIncFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPEFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['pe_fy1']):
"""
:name: 一致预期市盈率(PE)(FY1)
:desc: 一致预期市盈率未来第一年度的预测均值
:unit: 倍
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'pe_fy1': 'CEPEFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPEFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['pe_fy2']):
"""
:name: 一致预期市盈率(PE)(FY2)
:desc: 一致预期市盈率未来第二年度的预测均值
:unit: 倍
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'pe_fy2': 'CEPEFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPBFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['pb_fy1']):
"""
:name: 一致预期市净率(PB)(FY1)
:desc: 一致预期市净率未来第一年度的预测均值
:unit: 倍
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'pb_fy1': 'CEPBFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPBFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['pb_fy2']):
"""
:name: 一致预期市净率(PB)(FY2)
:desc: 一致预期市净率未来第二年度的预测均值
:unit: 倍
:view_dimension: 1
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'pb_fy2': 'CEPBFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPEGFY1(tp_earning, factor_earning_expect, trade_date, dependencies=['peg_fy1']):
"""
:name: 市盈率相对盈利增长比率(FY1)
:desc: 未来第一年度市盈率相对盈利增长比率
:unit:
:view_dimension: 0.01
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'peg_fy1': 'CEPEGFY1'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CEPEGFY2(tp_earning, factor_earning_expect, trade_date, dependencies=['peg_fy2']):
"""
:name: 市盈率相对盈利增长比率(FY2)
:desc: 未来第二年度市盈率相对盈利增长比率
:unit:
:view_dimension: 0.01
"""
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, dependencies]
earning_expect.rename(columns={'peg_fy2': 'CEPEGFY2'}, inplace=True)
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def _change_rate(tp_earning, trade_date, pre_trade_date, colunm, factor_name):
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, colunm]
earning_expect_pre = tp_earning[tp_earning['publish_date'] == pre_trade_date].loc[:, colunm]
earning_expect = pd.merge(earning_expect, earning_expect_pre, on='security_code', how='left')
earning_expect[factor_name] = (earning_expect[colunm + '_x'] - earning_expect[colunm + '_y']) / \
earning_expect[colunm + '_y']
earning_expect.drop(columns=[colunm + '_x', colunm + '_y'], inplace=True)
return earning_expect
@staticmethod
def _change_value(tp_earning, trade_date, pre_trade_date, colunm, factor_name):
earning_expect = tp_earning[tp_earning['publish_date'] == trade_date].loc[:, colunm]
earning_expect_pre = tp_earning[tp_earning['publish_date'] == pre_trade_date].loc[:, colunm]
earning_expect = pd.merge(earning_expect, earning_expect_pre, on='security_code', how='left')
earning_expect[factor_name] = (earning_expect[colunm + '_x'] - earning_expect[colunm + '_y'])
earning_expect.drop(columns=[colunm + '_x', colunm + '_y'], inplace=True)
return earning_expect
@staticmethod
def NPFY11WRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化率_一周
:desc: 未来第一年度一致预测净利润一周内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[1],
'net_profit_fy1',
'NPFY11WRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY11MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化率_一月
:desc: 未来第一年度一致预测净利润一月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[2],
'net_profit_fy1',
'NPFY11MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY13MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化率_三月
:desc: 未来第一年度一致预测净利润三月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[3],
'net_profit_fy1',
'NPFY13MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY16MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化率_六月
:desc: 未来第一年度一致预测净利润六月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[4],
'net_profit_fy1',
'NPFY16MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY11WChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化_一周
:desc: 未来第一年度一致预测每股收益一周内预测值变化
:unit: 元
:view_dimension: 1
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[1],
'eps_fy1',
'EPSFY11WChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY11MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化_一月
:desc: 未来第一年度一致预测每股收益一月内预测值变化
:unit: 元
:view_dimension: 1
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[2],
'eps_fy1',
'EPSFY11MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY13MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化_三月
:desc: 未来第一年度一致预测每股收益三月内预测值变化
:unit: 元
:view_dimension: 1
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[3],
'eps_fy1',
'EPSFY13MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY16MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化_六月
:desc: 未来第一年度一致预测每股收益六月内预测值变化
:unit: 元
:view_dimension: 1
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[4],
'eps_fy1',
'EPSFY16MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY11WRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化率_一周
:desc: 未来第一年度一致预测每股收益一周内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[1],
'eps_fy1',
'EPSFY11WRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY11MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化率_一月
:desc: 未来第一年度一致预测每股收益一月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[2],
'eps_fy1',
'EPSFY11MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY13MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化率_三月
:desc: 未来第一年度一致预测每股收益三月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[3],
'eps_fy1',
'EPSFY13MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def EPSFY16MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY1)变化率_六月
:desc: 未来第一年度一致预测每股收益六月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[4],
'eps_fy1',
'EPSFY16MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY11WChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化_一周
:desc: 未来第一年度一致预测净利润一周内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[1],
'net_profit_fy1',
'NPFY11WChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY11MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化_一月
:desc: 未来第一年度一致预测净利润一月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[2],
'net_profit_fy1',
'NPFY11MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY13MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化_三月
:desc: 未来第一年度一致预测净利润三月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[3],
'net_profit_fy1',
'NPFY13MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def NPFY16MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY1)变化_六月
:desc: 未来第一年度一致预测净利润六月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[4],
'net_profit_fy1',
'NPFY16MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def ChgNPFY1FY2(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测净利润(FY2)与一致预期净利润(FY1)的变化率
:desc: 未来第二年度一致预测净利润与未来第一年度一致预测净利润变化率
:unit:
:view_dimension: 0.01
"""
factor_earning_expect['ChgNPFY1FY2'] = factor_earning_expect['NPFY2'] - factor_earning_expect['NPFY1'] / abs(
factor_earning_expect['NPFY1']) * 100
return factor_earning_expect
@staticmethod
def ChgEPSFY1FY2(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测每股收益(FY2)与一致预期每股收益(FY1)的变化率
:desc: 未来第二年度一致预测每股收益与未来第一年度一致预测每股收益变化率
:unit:
:view_dimension: 0.01
"""
factor_earning_expect['ChgEPSFY1FY2'] = factor_earning_expect['EPSFY2'] - factor_earning_expect['EPSFY1'] / abs(
factor_earning_expect['EPSFY1']) * 100
return factor_earning_expect
@staticmethod
def OptIncFY11WRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化_一周
:desc: 未来第一年度一致预测营业收入一周内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[1],
'operating_revenue_fy1',
'OptIncFY11WRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY11MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化_一月
:desc: 未来第一年度一致预测营业收入一月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[2],
'operating_revenue_fy1',
'OptIncFY11MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY13MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化_三月
:desc: 未来第一年度一致预测营业收入三月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[3],
'operating_revenue_fy1',
'OptIncFY13MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY16MRT(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化_六月
:desc: 未来第一年度一致预测营业收入六月内预测值变化
:unit: 元
:view_dimension: 10000
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_value(tp_earning, trade_date, trade_dates[4],
'operating_revenue_fy1',
'OptIncFY16MRT')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY11WChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化率_一周
:desc: 未来第一年度一致预测营业收入一周内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[1],
'operating_revenue_fy1',
'OptIncFY11WChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY11MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化率_一月
:desc: 未来第一年度一致预测营业收入一月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[2],
'operating_revenue_fy1',
'OptIncFY11MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY13MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化率_三月
:desc: 未来第一年度一致预测营业收入三月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[3],
'operating_revenue_fy1',
'OptIncFY13MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def OptIncFY16MChg(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一致预测营业收入(FY1)变化率_六月
:desc: 未来第一年度一致预测营业收入六月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[4],
'operating_revenue_fy1',
'OptIncFY16MChg')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
# @staticmethod
# def OptIncFY1SDT(tp_earning, factor_earning_expect, trade_date):
# """
# :name: 一致预测营业收入(FY1)标准差
# :desc: 未来第一年度一致预测营业收入标准差
# """
# return factor_earning_expect
@staticmethod
def CERATINGRATE1W(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一周评级变化率
:desc: 研究机构买入评级一周内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 2:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[1],
'rating2',
'CERATINGRATE1W')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CERATINGRATE1M(tp_earning, factor_earning_expect, trade_date):
"""
:name: 一月评级变化率
:desc: 研究机构买入评级一月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 3:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[2],
'rating2',
'CERATINGRATE1M')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CERATINGRATE3M(tp_earning, factor_earning_expect, trade_date):
"""
:name: 三月评级变化率
:desc: 研究机构买入评级三月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 4:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[3],
'rating2',
'CERATINGRATE3M')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
@staticmethod
def CERATINGRATE6M(tp_earning, factor_earning_expect, trade_date):
"""
:name: 六月评级变化率
:desc: 研究机构买入评级六月内预测值变化率
:unit:
:view_dimension: 0.01
"""
trade_dates = sorted(set(tp_earning['publish_date']), reverse=True)
if len(trade_dates) >= 5:
earning_expect = FactorEarningExpectation._change_rate(tp_earning, trade_date, trade_dates[4],
'rating2',
'CERATINGRATE6M')
factor_earning_expect = pd.merge(factor_earning_expect, earning_expect, on='security_code')
return factor_earning_expect
| 45.125 | 120 | 0.58716 | 2,995 | 30,685 | 5.652421 | 0.068447 | 0.220391 | 0.195286 | 0.051982 | 0.837262 | 0.837262 | 0.833658 | 0.828578 | 0.814283 | 0.78209 | 0 | 0.020998 | 0.320222 | 30,685 | 679 | 121 | 45.191458 | 0.790594 | 0.123839 | 0 | 0.724234 | 0 | 0 | 0.089148 | 0.011174 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125348 | false | 0 | 0.002786 | 0 | 0.253482 | 0 | 0 | 0 | 0 | null | 1 | 1 | 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 | 9 |
b74cd78efa3ba3c997d72f8b2c89e86d81e211a6 | 45,012 | py | Python | dabasco/aspic/tests/test_export_toast.py | hhucn/dabasco | 847cf550b4f55baf21446564c908e992a69366f0 | [
"MIT"
] | 5 | 2017-08-02T16:55:10.000Z | 2019-05-15T21:05:10.000Z | dabasco/aspic/tests/test_export_toast.py | hhucn/dabasco | 847cf550b4f55baf21446564c908e992a69366f0 | [
"MIT"
] | null | null | null | dabasco/aspic/tests/test_export_toast.py | hhucn/dabasco | 847cf550b4f55baf21446564c908e992a69366f0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from dabasco.aspic.export_toast import export_toast
from dabasco.dbas.dbas_import import import_dbas_user, import_dbas_graph
from os import path
import logging.config
log_file_path = path.join(path.dirname(path.abspath(__file__)), '../../logging.ini')
logging.config.fileConfig(log_file_path, disable_existing_loggers=False)
logger = logging.getLogger('test')
class TestASPICExport(unittest.TestCase):
def test_discussion1_weak_user1_no_assumptions(self):
discussion_id = 1
user_id = 1
opinion_type = "weak"
assumptions_type = None
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua2] opinion_dummy=>2",
"[ur3] opinion_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[ua2] < [i1]",
"[ua2] < [i2]",
"[ur3] < [i1]",
"[ur3] < [i2]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_weak_assumptions_no_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "weak"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[a1] < [i1]",
"[a1] < [i2]",
"[r1] < [i1]",
"[r1] < [i2]",
"[a2] < [i1]",
"[a2] < [i2]",
"[r2] < [i1]",
"[r2] < [i2]",
"[a3] < [i1]",
"[a3] < [i2]",
"[r3] < [i1]",
"[r3] < [i2]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_weak_assumptions_positive_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "weak"
assumptions_bias = "positive"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[a2] assumptions_dummy=>2",
"[a3] assumptions_dummy=>3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[a1] < [i1]",
"[a1] < [i2]",
"[a2] < [i1]",
"[a2] < [i2]",
"[a3] < [i1]",
"[a3] < [i2]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_weak_assumptions_negative_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "weak"
assumptions_bias = "negative"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[r1] assumptions_dummy=>~1",
"[r2] assumptions_dummy=>~2",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[r1] < [i1]",
"[r1] < [i2]",
"[r2] < [i1]",
"[r2] < [i2]",
"[r3] < [i1]",
"[r3] < [i2]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_strong_assumptions_no_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "strong"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_strong_assumptions_positive_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "strong"
assumptions_bias = "positive"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[a2] assumptions_dummy=>2",
"[a3] assumptions_dummy=>3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_no_user_strong_assumptions_negative_bias(self):
discussion_id = 1
opinion_type = None
assumptions_type = "strong"
assumptions_bias = "negative"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = None
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[r1] assumptions_dummy=>~1",
"[r2] assumptions_dummy=>~2",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strong_user1_weak_assumptions_no_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strong"
assumptions_type = "weak"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua2] opinion_dummy=>2",
"[ur3] opinion_dummy=>~3",
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[a1] < [i1]",
"[a1] < [i2]",
"[r1] < [i1]",
"[r1] < [i2]",
"[a2] < [i1]",
"[a2] < [i2]",
"[r2] < [i1]",
"[r2] < [i2]",
"[a3] < [i1]",
"[a3] < [i2]",
"[r3] < [i1]",
"[r3] < [i2]",
"[a1] < [ua2]",
"[a1] < [ur3]",
"[r1] < [ua2]",
"[r1] < [ur3]",
"[a2] < [ua2]",
"[a2] < [ur3]",
"[r2] < [ua2]",
"[r2] < [ur3]",
"[a3] < [ua2]",
"[a3] < [ur3]",
"[r3] < [ua2]",
"[r3] < [ur3]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strong_user1_weak_assumptions_positive_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strong"
assumptions_type = "weak"
assumptions_bias = "positive"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua2] opinion_dummy=>2",
"[ur3] opinion_dummy=>~3",
"[a1] assumptions_dummy=>1",
"[a2] assumptions_dummy=>2",
"[a3] assumptions_dummy=>3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[a1] < [i1]",
"[a1] < [i2]",
"[a2] < [i1]",
"[a2] < [i2]",
"[a3] < [i1]",
"[a3] < [i2]",
"[a1] < [ua2]",
"[a1] < [ur3]",
"[a2] < [ua2]",
"[a2] < [ur3]",
"[a3] < [ua2]",
"[a3] < [ur3]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strong_user1_weak_assumptions_negative_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strong"
assumptions_type = "weak"
assumptions_bias = "negative"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua2] opinion_dummy=>2",
"[ur3] opinion_dummy=>~3",
"[r1] assumptions_dummy=>~1",
"[r2] assumptions_dummy=>~2",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = {
"[r1] < [i1]",
"[r1] < [i2]",
"[r2] < [i1]",
"[r2] < [i2]",
"[r3] < [i1]",
"[r3] < [i2]",
"[r1] < [ua2]",
"[r1] < [ur3]",
"[r2] < [ua2]",
"[r2] < [ur3]",
"[r3] < [ua2]",
"[r3] < [ur3]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strict_user1_strong_assumptions_no_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strict"
assumptions_type = "strong"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "2", "~3"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strict_user1_strong_assumptions_positive_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strict"
assumptions_type = "strong"
assumptions_bias = "positive"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "2", "~3"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[a2] assumptions_dummy=>2",
"[a3] assumptions_dummy=>3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion1_strict_user1_strong_assumptions_negative_bias(self):
discussion_id = 1
user_id = 1
opinion_type = "strict"
assumptions_type = "strong"
assumptions_bias = "negative"
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]}
],
"nodes": [1, 2, 3],
"undercuts": []
}
dbas_user_json = {
"accepted_statements_via_click": [2],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [3],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "2", "~3"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[r1] assumptions_dummy=>~1",
"[r2] assumptions_dummy=>~2",
"[r3] assumptions_dummy=>~3",
"[i1] 2=>1",
"[i2] 3=>~1"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion2_weak_user2_no_assumptions(self):
discussion_id = 2
user_id = 2
opinion_type = "weak"
assumptions_type = None
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]},
{"conclusion": 2, "id": 3, "is_supportive": False, "premises": [4]}
],
"nodes": [1, 2, 3, 4, 5],
"undercuts": [
{"conclusion": 2, "id": 4, "premises": [5]}
]
}
dbas_user_json = {
"accepted_statements_via_click": [3],
"marked_arguments": [],
"marked_statements": [4],
"rejected_arguments": [],
"rejected_statements_via_click": [5],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua3] opinion_dummy=>3",
"[ua4] opinion_dummy=>4",
"[ur5] opinion_dummy=>~5",
"[i1] 2=>1",
"[i2] 3=>~1",
"[i3] 4=>~2",
"[i4] 5=>~[i2]"
}
reference_rulePrefs = {
"[ua3] < [i1]",
"[ua3] < [i2]",
"[ua3] < [i3]",
"[ua3] < [i4]",
"[ua4] < [i1]",
"[ua4] < [i2]",
"[ua4] < [i3]",
"[ua4] < [i4]",
"[ur5] < [i1]",
"[ur5] < [i2]",
"[ur5] < [i3]",
"[ur5] < [i4]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion2_strong_user2_weak_assumptions_no_bias(self):
discussion_id = 2
user_id = 2
opinion_type = "strong"
assumptions_type = "weak"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]},
{"conclusion": 2, "id": 3, "is_supportive": False, "premises": [4]}
],
"nodes": [1, 2, 3, 4, 5],
"undercuts": [
{"conclusion": 2, "id": 4, "premises": [5]}
]
}
dbas_user_json = {
"accepted_statements_via_click": [3],
"marked_arguments": [],
"marked_statements": [4],
"rejected_arguments": [],
"rejected_statements_via_click": [5],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua3] opinion_dummy=>3",
"[ua4] opinion_dummy=>4",
"[ur5] opinion_dummy=>~5",
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[a4] assumptions_dummy=>4",
"[r4] assumptions_dummy=>~4",
"[a5] assumptions_dummy=>5",
"[r5] assumptions_dummy=>~5",
"[i1] 2=>1",
"[i2] 3=>~1",
"[i3] 4=>~2",
"[i4] 5=>~[i2]"
}
reference_rulePrefs = {
"[a1] < [i1]",
"[a1] < [i2]",
"[a1] < [i3]",
"[a1] < [i4]",
"[r1] < [i1]",
"[r1] < [i2]",
"[r1] < [i3]",
"[r1] < [i4]",
"[a2] < [i1]",
"[a2] < [i2]",
"[a2] < [i3]",
"[a2] < [i4]",
"[r2] < [i1]",
"[r2] < [i2]",
"[r2] < [i3]",
"[r2] < [i4]",
"[a3] < [i1]",
"[a3] < [i2]",
"[a3] < [i3]",
"[a3] < [i4]",
"[r3] < [i1]",
"[r3] < [i2]",
"[r3] < [i3]",
"[r3] < [i4]",
"[a4] < [i1]",
"[a4] < [i2]",
"[a4] < [i3]",
"[a4] < [i4]",
"[r4] < [i1]",
"[r4] < [i2]",
"[r4] < [i3]",
"[r4] < [i4]",
"[a5] < [i1]",
"[a5] < [i2]",
"[a5] < [i3]",
"[a5] < [i4]",
"[r5] < [i1]",
"[r5] < [i2]",
"[r5] < [i3]",
"[r5] < [i4]",
"[a1] < [ua3]",
"[a1] < [ua4]",
"[a1] < [ur5]",
"[r1] < [ua3]",
"[r1] < [ua4]",
"[r1] < [ur5]",
"[a2] < [ua3]",
"[a2] < [ua4]",
"[a2] < [ur5]",
"[r2] < [ua3]",
"[r2] < [ua4]",
"[r2] < [ur5]",
"[a3] < [ua3]",
"[a3] < [ua4]",
"[a3] < [ur5]",
"[r3] < [ua3]",
"[r3] < [ua4]",
"[r3] < [ur5]",
"[a4] < [ua3]",
"[a4] < [ua4]",
"[a4] < [ur5]",
"[r4] < [ua3]",
"[r4] < [ua4]",
"[r4] < [ur5]",
"[a5] < [ua3]",
"[a5] < [ua4]",
"[a5] < [ur5]",
"[r5] < [ua3]",
"[r5] < [ua4]",
"[r5] < [ur5]"
}
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion2_strict_user2_strong_assumptions_no_bias(self):
discussion_id = 2
user_id = 2
opinion_type = "strict"
assumptions_type = "strong"
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]},
{"conclusion": 2, "id": 3, "is_supportive": False, "premises": [4]}
],
"nodes": [1, 2, 3, 4, 5],
"undercuts": [
{"conclusion": 2, "id": 4, "premises": [5]}
]
}
dbas_user_json = {
"accepted_statements_via_click": [3],
"marked_arguments": [],
"marked_statements": [4],
"rejected_arguments": [],
"rejected_statements_via_click": [5],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"assumptions_dummy", "3", "4", "~5"}
reference_contrariness = set()
reference_kb_prefs = set()
reference_rules = {
"[a1] assumptions_dummy=>1",
"[r1] assumptions_dummy=>~1",
"[a2] assumptions_dummy=>2",
"[r2] assumptions_dummy=>~2",
"[a3] assumptions_dummy=>3",
"[r3] assumptions_dummy=>~3",
"[a4] assumptions_dummy=>4",
"[r4] assumptions_dummy=>~4",
"[a5] assumptions_dummy=>5",
"[r5] assumptions_dummy=>~5",
"[i1] 2=>1",
"[i2] 3=>~1",
"[i3] 4=>~2",
"[i4] 5=>~[i2]"
}
reference_rule_prefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kb_prefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rule_prefs)
self.assertEqual(aspic_result["semantics"], semantics)
def test_discussion2_strong_user99_no_assumptions(self):
discussion_id = 2
user_id = 99
opinion_type = "strong"
assumptions_type = None
assumptions_bias = None
semantics = "preferred"
dbas_discussion_json = {
"inferences": [
{"conclusion": 1, "id": 1, "is_supportive": True, "premises": [2]},
{"conclusion": 1, "id": 2, "is_supportive": False, "premises": [3]},
{"conclusion": 2, "id": 3, "is_supportive": False, "premises": [4]}
],
"nodes": [1, 2, 3, 4, 5],
"undercuts": [
{"conclusion": 2, "id": 4, "premises": [5]}
]
}
dbas_user_json = {
"accepted_statements_via_click": [3, 4, 99],
"marked_arguments": [],
"marked_statements": [],
"rejected_arguments": [],
"rejected_statements_via_click": [5, 999],
}
dbas_discussion = import_dbas_graph(discussion_id=discussion_id, graph_export=dbas_discussion_json)
dbas_user = import_dbas_user(discussion_id=discussion_id, user_id=user_id, user_export=dbas_user_json)
aspic_result = export_toast(dbas_graph=dbas_discussion,
opinion_type=opinion_type,
opinion=dbas_user,
assumptions_type=assumptions_type,
assumptions_bias=assumptions_bias,
semantics=semantics)
reference_assumptions = set()
reference_axioms = {"opinion_dummy"}
reference_contrariness = set()
reference_kbPrefs = set()
reference_rules = {
"[ua3] opinion_dummy=>3",
"[ua4] opinion_dummy=>4",
"[ur5] opinion_dummy=>~5",
"[i1] 2=>1",
"[i2] 3=>~1",
"[i3] 4=>~2",
"[i4] 5=>~[i2]"
}
reference_rulePrefs = set()
self.assertEqual(set(aspic_result["assumptions"]), reference_assumptions)
self.assertEqual(set(aspic_result["axioms"]), reference_axioms)
self.assertEqual(set(aspic_result["contrariness"]), reference_contrariness)
self.assertEqual(set(aspic_result["kbPrefs"]), reference_kbPrefs)
self.assertEqual(set(aspic_result["rules"]), reference_rules)
self.assertEqual(set(aspic_result["rulePrefs"]), reference_rulePrefs)
self.assertEqual(aspic_result["semantics"], semantics)
if __name__ == '__main__':
unittest.main()
| 39.904255 | 110 | 0.530192 | 4,142 | 45,012 | 5.452197 | 0.027764 | 0.066245 | 0.0813 | 0.103883 | 0.96028 | 0.955542 | 0.955188 | 0.9547 | 0.952531 | 0.950405 | 0 | 0.029975 | 0.33591 | 45,012 | 1,127 | 111 | 39.939663 | 0.725512 | 0.000467 | 0 | 0.831858 | 0 | 0 | 0.200089 | 0.030051 | 0 | 0 | 0 | 0 | 0.117011 | 1 | 0.016716 | false | 0 | 0.032448 | 0 | 0.050147 | 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 |
b7545c9a6e2d356bcd1ffbd4e73e808f1ffbdcd9 | 148 | py | Python | src/sentry_plugins/github/__init__.py | Mattlk13/sentry | 0d94c56cfb7d8ffb6ce946fd090bfa7bde362eb2 | [
"Apache-2.0"
] | null | null | null | src/sentry_plugins/github/__init__.py | Mattlk13/sentry | 0d94c56cfb7d8ffb6ce946fd090bfa7bde362eb2 | [
"Apache-2.0"
] | null | null | null | src/sentry_plugins/github/__init__.py | Mattlk13/sentry | 0d94c56cfb7d8ffb6ce946fd090bfa7bde362eb2 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from sentry_plugins.base import assert_package_not_installed
assert_package_not_installed('sentry-github')
| 24.666667 | 60 | 0.885135 | 20 | 148 | 5.95 | 0.6 | 0.218487 | 0.268908 | 0.420168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074324 | 148 | 5 | 61 | 29.6 | 0.868613 | 0 | 0 | 0 | 0 | 0 | 0.087838 | 0 | 0 | 0 | 0 | 0 | 0.666667 | 1 | 0 | true | 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 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
b778d02b63ea95a27a015d37e4b97300ff64846f | 45,581 | py | Python | stat_graph.py | yagongso/KBO_crawler | c799b5c010a78ee2ca96a5a279655e962c4d1f40 | [
"MIT"
] | 7 | 2018-03-31T12:02:40.000Z | 2021-04-30T00:22:28.000Z | stat_graph.py | yagongso/KBO_crawler | c799b5c010a78ee2ca96a5a279655e962c4d1f40 | [
"MIT"
] | null | null | null | stat_graph.py | yagongso/KBO_crawler | c799b5c010a78ee2ca96a5a279655e962c4d1f40 | [
"MIT"
] | 3 | 2018-05-17T07:45:09.000Z | 2019-01-18T11:59:29.000Z | # coding: utf-8
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import ipywidgets as widgets
from IPython.display import clear_output
import matplotlib.dates as mdates
import matplotlib.ticker as ticker
def graph_batting_result(df, batter, ma_term=0, options=[True, True, True, True, True]):
datesFmt = mdates.DateFormatter('%m-%d')
if df.game_date.dtype == np.int64:
df = df.assign(game_date = pd.to_datetime(df.game_date, format='%Y%m%d').dt.date)
df = df.assign(pa=np.where(df.pa_result.notnull(), 1, 0))
df = df.assign(ab=np.where(df.pa_result.isin(['1루타', '내야안타', '안타', '2루타', '3루타', '홈런', '희생번트 야수선택',
'삼진', '실책', '필드 아웃', '포스 아웃', '병살타', '타구맞음 아웃',
'낫아웃 폭투', '희생번트 실책', '야수선택', '낫아웃 포일', '삼중살']),
1, 0))
df = df.assign(single=np.where(df.pa_result.isin(['1루타', '내야안타', '안타']), 1, 0))
df = df.assign(double=np.where(df.pa_result == '2루타', 1, 0))
df = df.assign(triple=np.where(df.pa_result == '3루타', 1, 0))
df = df.assign(hr=np.where(df.pa_result == '홈런', 1, 0))
df = df.assign(sh=np.where(df.pa_result == '희생번트', 1, 0))
df = df.assign(sf=np.where(df.pa_result == '희생플라이', 1, 0))
df = df.assign(so=np.where(df.pa_result.isin(['삼진', '낫아웃 폭투', '낫아웃 포일']), 1, 0))
df = df.assign(bb=np.where(df.pa_result.isin(['볼넷', '고의4구']), 1, 0))
df = df.assign(hbp=np.where(df.pa_result == '몸에 맞는 볼', 1, 0))
df = df.assign(hit=df.single + df.double + df.triple + df.hr)
df = df.assign(tb=df.single + df.double*2 + df.triple*3 + df.hr*4)
sub_df = df.loc[df.batter == batter]
tab = sub_df.pivot_table(index='game_date',
values=['hit', 'tb', 'ab', 'pa', 'hr', 'sh', 'sf', 'so', 'bb', 'hbp'],
aggfunc='sum'
)
#babip = (hit-hr) / (ab-so-hr+sf)
tab = tab.fillna(0)
result_sum = []
hit_sum = tb_sum = 0
ab_sum = pa_sum = 0
hr_sum = sh_sum = sf_sum = 0
so_sum = bb_sum = hbp_sum = 0
fig, a1 = plt.subplots(figsize=(3, 3), dpi=144, facecolor='white')
if (ma_term <= 1) or (ma_term >= len(tab.index)):
for i in tab.index:
hit_sum += tab.loc[i].hit
tb_sum += tab.loc[i].tb
ab_sum += tab.loc[i].ab
pa_sum += tab.loc[i].pa
hr_sum += tab.loc[i].hr
sh_sum += tab.loc[i].sh
sf_sum += tab.loc[i].sf
so_sum += tab.loc[i].so
bb_sum += tab.loc[i].bb
hbp_sum += tab.loc[i].hbp
# avg, obp, slg, ops, babip
_avg = hit_sum/ab_sum if ab_sum > 0 else 0
_obp = (hit_sum+bb_sum+hbp_sum)/(ab_sum+bb_sum+hbp_sum+sf_sum) if (ab_sum+bb_sum+hbp_sum+sf_sum) > 0 else 0
_slg = tb_sum/ab_sum if ab_sum > 0 else 0
_ops = _obp + _slg
_babip = (hit_sum-hr_sum)/(ab_sum-so_sum-hr_sum+sf_sum) if (ab_sum-so_sum-hr_sum+sf_sum) > 0 else 0
result_sum.append([_avg, _obp, _slg,
_ops, _babip])
fig.suptitle(f'{batter}\'s Cumulative Average', fontsize=10)
else:
term = ma_term - 1
for i in range(0, len(tab.index) - term):
hit_sum = tab.loc[tab.index[i]:tab.index[i+term]].hit.sum()
tb_sum = tab.loc[tab.index[i]:tab.index[i+term]].tb.sum()
ab_sum = tab.loc[tab.index[i]:tab.index[i+term]].ab.sum()
pa_sum = tab.loc[tab.index[i]:tab.index[i+term]].pa.sum()
hr_sum = tab.loc[tab.index[i]:tab.index[i+term]].hr.sum()
sh_sum = tab.loc[tab.index[i]:tab.index[i+term]].sh.sum()
sf_sum = tab.loc[tab.index[i]:tab.index[i+term]].sf.sum()
so_sum = tab.loc[tab.index[i]:tab.index[i+term]].so.sum()
bb_sum = tab.loc[tab.index[i]:tab.index[i+term]].bb.sum()
hbp_sum = tab.loc[tab.index[i]:tab.index[i+term]].hbp.sum()
# avg, obp, slg, ops, babip
_avg = hit_sum/ab_sum if ab_sum > 0 else 0
_obp = (hit_sum+bb_sum+hbp_sum)/(ab_sum+bb_sum+hbp_sum+sf_sum) if (ab_sum+bb_sum+hbp_sum+sf_sum) > 0 else 0
_slg = tb_sum/ab_sum if ab_sum > 0 else 0
_ops = _obp + _slg
_babip = (hit_sum-hr_sum)/(ab_sum-so_sum-hr_sum+sf_sum) if (ab_sum-so_sum-hr_sum+sf_sum) > 0 else 0
result_sum.append([_avg, _obp, _slg,
_ops, _babip])
fig.suptitle(f'{batter}\'s {ma_term}-Game Rolling Average')
rs = np.array(result_sum)
a1.yaxis.set_major_formatter(ticker.FormatStrFormatter('%.3f'))
min_y = 10000
max_y = -10000
a2 = a3 = a4 = a5 = None
if options[0] == True:
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a1.plot(tab.index, rs[:, 0], label='AVG', color='k')
else:
a1.plot(tab.index[term:], rs[:, 0], label='AVG', color='k')
a1.xaxis.set_major_formatter(datesFmt)
a1.grid(True)
a1.set_yticks([])
max_y = max(max_y, rs[:, 0].max())
min_y = min(min_y, rs[:, 0].min())
if options[1] == True:
a2 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a2.plot(tab.index, rs[:, 1], label='OBP', color='blueviolet', linestyle=':', linewidth=2)
else:
a2.plot(tab.index[term:], rs[:, 1], label='OBP', color='blueviolet', linestyle=':', linewidth=2)
a2.xaxis.set_major_formatter(datesFmt)
a2.grid(True)
a2.set_yticks([])
if max_y < rs[:, 1].max():
max_y = rs[:, 1].max()
if min_y > rs[:, 1].min():
min_y = rs[:, 1].min()
if options[2] == True:
a3 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a3.plot(tab.index, rs[:, 2], label='SLG', color='orangered', marker='o', markersize='2.5')
else:
a3.plot(tab.index[term:], rs[:, 2], label='SLG', color='orangered', marker='o', markersize='2.5')
a3.xaxis.set_major_formatter(datesFmt)
a3.grid(True)
a3.set_yticks([])
if max_y < rs[:, 2].max():
max_y = rs[:, 2].max()
if min_y > rs[:, 2].min():
min_y = rs[:, 2].min()
if options[3] == True:
a4 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a4.plot(tab.index, rs[:, 3], label='OPS', color='royalblue')
else:
a4.plot(tab.index[term:], rs[:, 3], label='OPS', color='royalblue')
a4.xaxis.set_major_formatter(datesFmt)
a4.grid(True)
a4.set_yticks([])
if max_y < rs[:, 3].max():
max_y = rs[:, 3].max()
if min_y > rs[:, 3].min():
min_y = rs[:, 3].min()
if options[4] == True:
a5 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a5.plot(tab.index, rs[:, 4], label='BABIP', color='gold', linestyle='--')
else:
a5.plot(tab.index[term:], rs[:, 4], label='BABIP', color='gold', linestyle='--')
a5.xaxis.set_major_formatter(datesFmt)
a5.grid(True)
a5.set_yticks([])
if max_y < rs[:, 4].max():
max_y = rs[:, 4].max()
if min_y > rs[:, 4].min():
min_y = rs[:, 4].min()
a1.set_ylim([max(0, min_y-0.025), max_y+0.025])
a1.set_ylabel('')
if a2 is not None:
a2.set_ylim([max(0, min_y-0.025), max_y+0.025])
a2.set_ylabel('')
if a3 is not None:
a3.set_ylim([max(0, min_y-0.025), max_y+0.025])
a3.set_ylabel('')
if a4 is not None:
a4.set_ylim([max(0, min_y-0.025), max_y+0.025])
a4.set_ylabel('')
if a5 is not None:
a5.set_ylim([max(0, min_y-0.025), max_y+0.025])
a5.set_ylabel('')
fig.legend(loc='lower center', ncol=np.array(options).sum(), fontsize='xx-small', bbox_to_anchor=(0.5, -0.005))
a1.yaxis.set_major_locator(ticker.MultipleLocator(0.05))
a1.yaxis.set_minor_locator(ticker.MultipleLocator(0.01))
a1.grid(True)
a1.tick_params(labelsize='x-small')
return fig
def graph_batter_plate_discipline(df, batter, ma_term=0, options=[True, True, True, True, True, True]):
datesFmt = mdates.DateFormatter('%m-%d')
if df.game_date.dtype == np.int64:
df = df.assign(game_date = pd.to_datetime(df.game_date, format='%Y%m%d').dt.date)
if df.px.dtypes == np.object:
df.loc[:, 'px'] = pd.to_numeric(df.px, errors='coerce')
if df.isnull().any().px == False:
df = df.drop(df.loc[df.px.isnull()].index)
if df.pz.dtypes == np.object:
df.loc[:, 'pz'] = pd.to_numeric(df.pz, errors='coerce')
if df.isnull().any().pz == False:
df = df.drop(df.loc[df.pz.isnull()].index)
df = df.assign(swing=np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울']), 1, 0))
df = df.assign(miss=np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙']), 1, 0))
izmask = df.px.between(-10/12, 10/12) & df.pz.between(1.6, 3.6)
ozmask = ~izmask
df = df.assign(iz_swing=
np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울'])
& izmask, 1, 0))
df = df.assign(iz_miss=
np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙'])
& izmask, 1, 0))
df = df.assign(oz_swing=
np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울'])
& ozmask, 1, 0))
df = df.assign(oz_miss=
np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙'])
& ozmask, 1, 0))
sub_df = df.loc[df.batter == batter]
tab = sub_df.pivot_table(index='game_date',
values=['swing', 'miss', 'iz_swing', 'iz_miss', 'oz_swing', 'oz_miss'],
aggfunc='sum'
)
tab = tab.assign(raw_num = sub_df.groupby('game_date').count().speed)
tab = tab.assign(iz_raw_num = sub_df.loc[izmask].groupby('game_date').count().speed)
tab = tab.assign(oz_raw_num = sub_df.loc[ozmask].groupby('game_date').count().speed)
tab = tab.fillna(0)
result_sum = []
raw_num_sum = iz_raw_num_sum = oz_raw_num_sum = 0
swing_sum = iz_swing_sum = oz_swing_sum = 0
miss_sum = iz_miss_sum = oz_miss_sum = 0
fig, a1 = plt.subplots(figsize=(3, 3), dpi=144, facecolor='white')
if (ma_term <= 1) or (ma_term >= len(tab.index)):
for i in tab.index:
raw_num_sum += tab.loc[i].raw_num
swing_sum += tab.loc[i].swing
miss_sum += tab.loc[i].miss
iz_raw_num_sum += tab.loc[i].iz_raw_num
iz_swing_sum += tab.loc[i].iz_swing
iz_miss_sum += tab.loc[i].iz_miss
oz_raw_num_sum += tab.loc[i].oz_raw_num
oz_swing_sum += tab.loc[i].oz_swing
oz_miss_sum += tab.loc[i].oz_miss
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
_swing = swing_sum/raw_num_sum*100 if raw_num_sum > 0 else 0
_con = (1-miss_sum/swing_sum)*100 if swing_sum > 0 else 0
_izswing = iz_swing_sum/iz_raw_num_sum*100 if iz_raw_num_sum > 0 else 0
_izcon = (1-iz_miss_sum/iz_swing_sum)*100 if iz_swing_sum > 0 else 0
_ozswing = oz_swing_sum/oz_raw_num_sum*100 if oz_raw_num_sum > 0 else 0
_ozcon = (1-oz_miss_sum/oz_swing_sum)*100 if oz_swing_sum > 0 else 0
result_sum.append([_swing, _con,
_izswing, _izcon,
_ozswing, _ozcon])
fig.suptitle(f'{batter}\'s Cumulative Average', fontsize=10)
else:
term = ma_term - 1
for i in range(0, len(tab.index) - term):
raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].raw_num.sum()
swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].swing.sum()
miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].miss.sum()
iz_raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_raw_num.sum()
iz_swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_swing.sum()
iz_miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_miss.sum()
oz_raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_raw_num.sum()
oz_swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_swing.sum()
oz_miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_miss.sum()
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
_swing = swing_sum/raw_num_sum*100 if raw_num_sum > 0 else 0
_con = (1-miss_sum/swing_sum)*100 if swing_sum > 0 else 0
_izswing = iz_swing_sum/iz_raw_num_sum*100 if iz_raw_num_sum > 0 else 0
_izcon = (1-iz_miss_sum/iz_swing_sum)*100 if iz_swing_sum > 0 else 0
_ozswing = oz_swing_sum/oz_raw_num_sum*100 if oz_raw_num_sum > 0 else 0
_ozcon = (1-oz_miss_sum/oz_swing_sum)*100 if oz_swing_sum > 0 else 0
result_sum.append([_swing, _con,
_izswing, _izcon,
_ozswing, _ozcon])
fig.suptitle(f'{batter}\'s {ma_term}-Game Rolling Average')
rs = np.array(result_sum)
a1.yaxis.set_major_formatter(ticker.FormatStrFormatter('%d%%'))
min_y = 10000
max_y = -10000
a2 = a3 = a4 = a5 = a6 = None
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
if options[0] == True:
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a1.plot(tab.index, rs[:, 0], label='Swing%', color='k')
else:
a1.plot(tab.index[term:], rs[:, 0], label='Swing%', color='k')
a1.xaxis.set_major_formatter(datesFmt)
a1.grid(True)
a1.set_yticks([])
max_y = max(max_y, rs[:, 0].max())
min_y = min(min_y, rs[:, 0].min())
if options[1] == True:
a2 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a2.plot(tab.index, rs[:, 1], label='Contact%', color='dimgrey', linestyle='--')
else:
a2.plot(tab.index[term:], rs[:, 1], label='Contact%', color='dimgrey', linestyle='--')
a2.xaxis.set_major_formatter(datesFmt)
a2.grid(True)
a2.set_yticks([])
if max_y < rs[:, 1].max():
max_y = rs[:, 1].max()
if min_y > rs[:, 1].min():
min_y = rs[:, 1].min()
if options[2] == True:
a3 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a3.plot(tab.index, rs[:, 2], label='Z-Swing%', color='blue')
else:
a3.plot(tab.index[term:], rs[:, 2], label='Z-Swing%', color='blue')
a3.xaxis.set_major_formatter(datesFmt)
a3.grid(True)
a3.set_yticks([])
if max_y < rs[:, 2].max():
max_y = rs[:, 2].max()
if min_y > rs[:, 2].min():
min_y = rs[:, 2].min()
if options[3] == True:
a4 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a4.plot(tab.index, rs[:, 3], label='Z-Contact%', color='lightskyblue', linestyle='--')
else:
a4.plot(tab.index[term:], rs[:, 3], label='Z-Contact%', color='lightskyblue', linestyle='--')
a4.xaxis.set_major_formatter(datesFmt)
a4.grid(True)
a4.set_yticks([])
if max_y < rs[:, 3].max():
max_y = rs[:, 3].max()
if min_y > rs[:, 3].min():
min_y = rs[:, 3].min()
if options[4] == True:
a5 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a5.plot(tab.index, rs[:, 4], label='O-Swing%', color='green')
else:
a5.plot(tab.index[term:], rs[:, 4], label='O-Swing%', color='green')
a5.xaxis.set_major_formatter(datesFmt)
a5.grid(True)
a5.set_yticks([])
if max_y < rs[:, 4].max():
max_y = rs[:, 4].max()
if min_y > rs[:, 4].min():
min_y = rs[:, 4].min()
if options[5] == True:
a6 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a6.plot(tab.index, rs[:, 5], label='O-Contact%', color='lime', linestyle='--')
else:
a6.plot(tab.index[term:], rs[:, 5], label='O-Contact%', color='lime', linestyle='--')
a6.xaxis.set_major_formatter(datesFmt)
a6.grid(True)
a6.set_yticks([])
if max_y < rs[:, 5].max():
max_y = rs[:, 5].max()
if min_y > rs[:, 5].min():
min_y = rs[:, 5].min()
a1.set_ylim([max(0, min_y-5), max_y+5])
a1.set_ylabel('')
if a2 is not None:
a2.set_ylim([max(0, min_y-5), max_y+5])
a2.set_ylabel('')
if a3 is not None:
a3.set_ylim([max(0, min_y-5), max_y+5])
a3.set_ylabel('')
if a4 is not None:
a4.set_ylim([max(0, min_y-5), max_y+5])
a4.set_ylabel('')
if a5 is not None:
a5.set_ylim([max(0, min_y-5), max_y+5])
a5.set_ylabel('')
if a6 is not None:
a6.set_ylim([max(0, min_y-5), max_y+5])
a6.set_ylabel('')
fig.legend(loc='lower center',
ncol=min(np.array(options).sum(), 3),
fontsize='xx-small',
bbox_to_anchor=(0.5, -0.01))
a1.yaxis.set_major_locator(ticker.MultipleLocator(5))
a1.yaxis.set_minor_locator(ticker.MultipleLocator(1))
a1.grid(True)
a1.tick_params(labelsize='x-small')
return fig
def graph_pitching_result(df, pitcher, ma_term=0, options=[True, True, True, True, True, True, True]):
# K%, BB%, BABIP, OAVG, OOBP, OSLG, OOPS
datesFmt = mdates.DateFormatter('%m-%d')
if df.game_date.dtype == np.int64:
df = df.assign(game_date = pd.to_datetime(df.game_date, format='%Y%m%d').dt.date)
df = df.assign(pa=np.where(df.pa_result.notnull(), 1, 0))
df = df.assign(ab=np.where(df.pa_result.isin(['1루타', '내야안타', '안타', '2루타', '3루타', '홈런', '희생번트 야수선택',
'삼진', '실책', '필드 아웃', '포스 아웃', '병살타', '타구맞음 아웃',
'낫아웃 폭투', '희생번트 실책', '야수선택', '낫아웃 포일', '삼중살']),
1, 0))
df = df.assign(single=np.where(df.pa_result.isin(['1루타', '내야안타', '안타']), 1, 0))
df = df.assign(double=np.where(df.pa_result == '2루타', 1, 0))
df = df.assign(triple=np.where(df.pa_result == '3루타', 1, 0))
df = df.assign(hr=np.where(df.pa_result == '홈런', 1, 0))
df = df.assign(sh=np.where(df.pa_result == '희생번트', 1, 0))
df = df.assign(sf=np.where(df.pa_result == '희생플라이', 1, 0))
df = df.assign(so=np.where(df.pa_result.isin(['삼진', '낫아웃 폭투', '낫아웃 포일']), 1, 0))
df = df.assign(bb=np.where(df.pa_result.isin(['볼넷', '고의4구']), 1, 0))
df = df.assign(hbp=np.where(df.pa_result == '몸에 맞는 볼', 1, 0))
df = df.assign(hit=df.single + df.double + df.triple + df.hr)
df = df.assign(tb=df.single + df.double*2 + df.triple*3 + df.hr*4)
sub_df = df.loc[df.pitcher == pitcher]
tab = sub_df.pivot_table(index='game_date',
values=['hit', 'tb', 'ab', 'pa', 'hr', 'sh', 'sf', 'so', 'bb', 'hbp'],
aggfunc='sum'
)
#babip = (hit-hr) / (ab-so-hr+sf)
tab = tab.fillna(0)
result_sum = []
hit_sum = tb_sum = 0
ab_sum = pa_sum = 0
hr_sum = sh_sum = sf_sum = 0
so_sum = bb_sum = hbp_sum = 0
fig, a1 = plt.subplots(figsize=(3, 3), dpi=144, facecolor='white')
if (ma_term <= 1) or (ma_term >= len(tab.index)):
for i in tab.index:
hit_sum += tab.loc[i].hit
tb_sum += tab.loc[i].tb
ab_sum += tab.loc[i].ab
pa_sum += tab.loc[i].pa
hr_sum += tab.loc[i].hr
sh_sum += tab.loc[i].sh
sf_sum += tab.loc[i].sf
so_sum += tab.loc[i].so
bb_sum += tab.loc[i].bb
hbp_sum += tab.loc[i].hbp
# avg, obp, slg, ops, babip
# OAVG, OOBP, OSLG, OOPS, BABIP, K%, BB%
_oavg = hit_sum/ab_sum if ab_sum > 0 else 0
_oobp = (hit_sum+bb_sum+hbp_sum)/(ab_sum+bb_sum+hbp_sum+sf_sum) if (ab_sum+bb_sum+hbp_sum+sf_sum) > 0 else 0
_oslg = tb_sum/ab_sum if ab_sum > 0 else 0
_oops = _oobp + _oslg
_obabip = (hit_sum-hr_sum)/(ab_sum-so_sum-hr_sum+sf_sum) if (ab_sum-so_sum-hr_sum+sf_sum) > 0 else 0
_krate = so_sum / pa_sum if pa_sum > 0 else 0
_bbrate = bb_sum / pa_sum if pa_sum > 0 else 0
result_sum.append([_oavg, _oobp, _oslg,
_oops, _obabip,
_krate, _bbrate])
fig.suptitle(f'{pitcher}\'s Cumulative Average', fontsize=10)
else:
term = ma_term - 1
for i in range(0, len(tab.index) - term):
hit_sum = tab.loc[tab.index[i]:tab.index[i+term]].hit.sum()
tb_sum = tab.loc[tab.index[i]:tab.index[i+term]].tb.sum()
ab_sum = tab.loc[tab.index[i]:tab.index[i+term]].ab.sum()
pa_sum = tab.loc[tab.index[i]:tab.index[i+term]].pa.sum()
hr_sum = tab.loc[tab.index[i]:tab.index[i+term]].hr.sum()
sh_sum = tab.loc[tab.index[i]:tab.index[i+term]].sh.sum()
sf_sum = tab.loc[tab.index[i]:tab.index[i+term]].sf.sum()
so_sum = tab.loc[tab.index[i]:tab.index[i+term]].so.sum()
bb_sum = tab.loc[tab.index[i]:tab.index[i+term]].bb.sum()
hbp_sum = tab.loc[tab.index[i]:tab.index[i+term]].hbp.sum()
# avg, obp, slg, ops, babip
_oavg = hit_sum/ab_sum if ab_sum > 0 else 0
_oobp = (hit_sum+bb_sum+hbp_sum)/(ab_sum+bb_sum+hbp_sum+sf_sum) if (ab_sum+bb_sum+hbp_sum+sf_sum) > 0 else 0
_oslg = tb_sum/ab_sum if ab_sum > 0 else 0
_oops = _oobp + _oslg
_obabip = (hit_sum-hr_sum)/(ab_sum-so_sum-hr_sum+sf_sum) if (ab_sum-so_sum-hr_sum+sf_sum) > 0 else 0
_krate = so_sum / pa_sum if pa_sum > 0 else 0
_bbrate = bb_sum / pa_sum if pa_sum > 0 else 0
result_sum.append([_oavg, _oobp, _oslg,
_oops, _obabip,
_krate, _bbrate])
fig.suptitle(f'{pitcher}\'s {ma_term}-Game Rolling Average')
rs = np.array(result_sum)
a1.yaxis.set_major_formatter(ticker.FormatStrFormatter('%.3f'))
min_y = 10000
max_y = -10000
a2 = a3 = a4 = a5 = a6 = a7 = None
if options[0] == True:
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a1.plot(tab.index, rs[:, 0], label='AVG', color='k')
else:
a1.plot(tab.index[term:], rs[:, 0], label='AVG', color='k')
a1.xaxis.set_major_formatter(datesFmt)
a1.grid(True)
a1.set_yticks([])
max_y = max(max_y, rs[:, 0].max())
min_y = min(min_y, rs[:, 0].min())
if options[1] == True:
a2 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a2.plot(tab.index, rs[:, 1], label='OBP', color='blueviolet', linestyle=':', linewidth=2)
else:
a2.plot(tab.index[term:], rs[:, 1], label='OBP', color='blueviolet', linestyle=':', linewidth=2)
a2.xaxis.set_major_formatter(datesFmt)
a2.grid(True)
a2.set_yticks([])
if max_y < rs[:, 1].max():
max_y = rs[:, 1].max()
if min_y > rs[:, 1].min():
min_y = rs[:, 1].min()
if options[2] == True:
a3 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a3.plot(tab.index, rs[:, 2], label='SLG', color='orangered', marker='o', markersize='2.5')
else:
a3.plot(tab.index[term:], rs[:, 2], label='SLG', color='orangered', marker='o', markersize='2.5')
a3.xaxis.set_major_formatter(datesFmt)
a3.grid(True)
a3.set_yticks([])
if max_y < rs[:, 2].max():
max_y = rs[:, 2].max()
if min_y > rs[:, 2].min():
min_y = rs[:, 2].min()
if options[3] == True:
a4 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a4.plot(tab.index, rs[:, 3], label='OPS', color='royalblue')
else:
a4.plot(tab.index[term:], rs[:, 3], label='OPS', color='royalblue')
a4.xaxis.set_major_formatter(datesFmt)
a4.grid(True)
a4.set_yticks([])
if max_y < rs[:, 3].max():
max_y = rs[:, 3].max()
if min_y > rs[:, 3].min():
min_y = rs[:, 3].min()
if options[4] == True:
a5 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a5.plot(tab.index, rs[:, 4], label='BABIP', color='gold', linestyle='--')
else:
a5.plot(tab.index[term:], rs[:, 4], label='BABIP', color='gold', linestyle='--')
a5.xaxis.set_major_formatter(datesFmt)
a5.grid(True)
a5.set_yticks([])
if max_y < rs[:, 4].max():
max_y = rs[:, 4].max()
if min_y > rs[:, 4].min():
min_y = rs[:, 4].min()
if options[5] == True:
a6 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a6.plot(tab.index, rs[:, 5], label='K%', color='green', linestyle='--')
else:
a6.plot(tab.index[term:], rs[:, 5], label='K%', color='green', linestyle='--')
a6.xaxis.set_major_formatter(datesFmt)
a6.grid(True)
a6.set_yticks([])
if max_y < rs[:, 5].max():
max_y = rs[:, 5].max()
if min_y > rs[:, 5].min():
min_y = rs[:, 5].min()
if options[6] == True:
a7 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a7.plot(tab.index, rs[:, 6], label='BB%', color='lime', linestyle='--')
else:
a7.plot(tab.index[term:], rs[:, 6], label='BB%', color='lime', linestyle='--')
a7.xaxis.set_major_formatter(datesFmt)
a7.grid(True)
a7.set_yticks([])
if max_y < rs[:, 6].max():
max_y = rs[:, 6].max()
if min_y > rs[:, 6].min():
min_y = rs[:, 6].min()
a1.set_ylim([max(0, min_y-0.025), max_y+0.025])
a1.set_ylabel('')
if a2 is not None:
a2.set_ylim([max(0, min_y-0.025), max_y+0.025])
a2.set_ylabel('')
if a3 is not None:
a3.set_ylim([max(0, min_y-0.025), max_y+0.025])
a3.set_ylabel('')
if a4 is not None:
a4.set_ylim([max(0, min_y-0.025), max_y+0.025])
a4.set_ylabel('')
if a5 is not None:
a5.set_ylim([max(0, min_y-0.025), max_y+0.025])
a5.set_ylabel('')
if a6 is not None:
a6.set_ylim([max(0, min_y-0.025), max_y+0.025])
a6.set_ylabel('')
if a7 is not None:
a7.set_ylim([max(0, min_y-0.025), max_y+0.025])
a7.set_ylabel('')
fig.legend(loc='lower center', ncol=min(np.array(options).sum(), 4),
fontsize='xx-small', bbox_to_anchor=(0.5, -0.01))
a1.yaxis.set_major_locator(ticker.MultipleLocator(0.05))
a1.yaxis.set_minor_locator(ticker.MultipleLocator(0.01))
a1.grid(True)
a1.tick_params(labelsize='x-small')
return fig
def graph_pitcher_plate_discipline(df, pitcher, ma_term=0, options=[True, True, True, True, True, True]):
datesFmt = mdates.DateFormatter('%m-%d')
if df.game_date.dtype == np.int64:
df = df.assign(game_date = pd.to_datetime(df.game_date, format='%Y%m%d').dt.date)
if df.px.dtypes == np.object:
df.loc[:, 'px'] = pd.to_numeric(df.px, errors='coerce')
if df.isnull().any().px == False:
df = df.drop(df.loc[df.px.isnull()].index)
if df.pz.dtypes == np.object:
df.loc[:, 'pz'] = pd.to_numeric(df.pz, errors='coerce')
if df.isnull().any().pz == False:
df = df.drop(df.loc[df.pz.isnull()].index)
df = df.assign(swing=np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울']), 1, 0))
df = df.assign(miss=np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙']), 1, 0))
izmask = df.px.between(-10/12, 10/12) & df.pz.between(1.6, 3.6)
ozmask = ~izmask
df = df.assign(iz_swing=
np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울'])
& izmask, 1, 0))
df = df.assign(iz_miss=
np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙'])
& izmask, 1, 0))
df = df.assign(oz_swing=
np.where(df.pitch_result.isin(['타격', '번트파울', '번트헛스윙', '헛스윙', '파울'])
& ozmask, 1, 0))
df = df.assign(oz_miss=
np.where(df.pitch_result.isin(['번트헛스윙', '헛스윙'])
& ozmask, 1, 0))
sub_df = df.loc[df.pitcher == pitcher]
tab = sub_df.pivot_table(index='game_date',
values=['swing', 'miss', 'iz_swing', 'iz_miss', 'oz_swing', 'oz_miss'],
aggfunc='sum'
)
tab = tab.assign(raw_num = sub_df.groupby('game_date').count().speed)
tab = tab.assign(iz_raw_num = sub_df.loc[izmask].groupby('game_date').count().speed)
tab = tab.assign(oz_raw_num = sub_df.loc[ozmask].groupby('game_date').count().speed)
tab = tab.fillna(0)
result_sum = []
raw_num_sum = iz_raw_num_sum = oz_raw_num_sum = 0
swing_sum = iz_swing_sum = oz_swing_sum = 0
miss_sum = iz_miss_sum = oz_miss_sum = 0
fig, a1 = plt.subplots(figsize=(3, 3), dpi=144, facecolor='white')
if (ma_term <= 1) or (ma_term >= len(tab.index)):
for i in tab.index:
raw_num_sum += tab.loc[i].raw_num
swing_sum += tab.loc[i].swing
miss_sum += tab.loc[i].miss
iz_raw_num_sum += tab.loc[i].iz_raw_num
iz_swing_sum += tab.loc[i].iz_swing
iz_miss_sum += tab.loc[i].iz_miss
oz_raw_num_sum += tab.loc[i].oz_raw_num
oz_swing_sum += tab.loc[i].oz_swing
oz_miss_sum += tab.loc[i].oz_miss
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
_swing = swing_sum/raw_num_sum*100 if raw_num_sum > 0 else 0
_con = (1-miss_sum/swing_sum)*100 if swing_sum > 0 else 0
_izswing = iz_swing_sum/iz_raw_num_sum*100 if iz_raw_num_sum > 0 else 0
_izcon = (1-iz_miss_sum/iz_swing_sum)*100 if iz_swing_sum > 0 else 0
_ozswing = oz_swing_sum/oz_raw_num_sum*100 if oz_raw_num_sum > 0 else 0
_ozcon = (1-oz_miss_sum/oz_swing_sum)*100 if oz_swing_sum > 0 else 0
result_sum.append([_swing, _con,
_izswing, _izcon,
_ozswing, _ozcon])
fig.suptitle(f'{pitcher}\'s Cumulative Average', fontsize=10)
else:
term = ma_term - 1
for i in range(0, len(tab.index) - term):
raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].raw_num.sum()
swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].swing.sum()
miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].miss.sum()
iz_raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_raw_num.sum()
iz_swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_swing.sum()
iz_miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].iz_miss.sum()
oz_raw_num_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_raw_num.sum()
oz_swing_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_swing.sum()
oz_miss_sum = tab.loc[tab.index[i]:tab.index[i+term]].oz_miss.sum()
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
_swing = swing_sum/raw_num_sum*100 if raw_num_sum > 0 else 0
_con = (1-miss_sum/swing_sum)*100 if swing_sum > 0 else 0
_izswing = iz_swing_sum/iz_raw_num_sum*100 if iz_raw_num_sum > 0 else 0
_izcon = (1-iz_miss_sum/iz_swing_sum)*100 if iz_swing_sum > 0 else 0
_ozswing = oz_swing_sum/oz_raw_num_sum*100 if oz_raw_num_sum > 0 else 0
_ozcon = (1-oz_miss_sum/oz_swing_sum)*100 if oz_swing_sum > 0 else 0
result_sum.append([_swing, _con,
_izswing, _izcon,
_ozswing, _ozcon])
fig.suptitle(f'{pitcher}\'s {ma_term}-Game Rolling Average')
rs = np.array(result_sum)
a1.yaxis.set_major_formatter(ticker.FormatStrFormatter('%d%%'))
min_y = 10000
max_y = -10000
a2 = a3 = a4 = a5 = a6 = None
#swing%, con%, izswing%, izcon%, ozswing%, ozcon%
if options[0] == True:
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a1.plot(tab.index, rs[:, 0], label='Swing%', color='k')
else:
a1.plot(tab.index[term:], rs[:, 0], label='Swing%', color='k')
a1.xaxis.set_major_formatter(datesFmt)
a1.grid(True)
a1.set_yticks([])
max_y = max(max_y, rs[:, 0].max())
min_y = min(min_y, rs[:, 0].min())
if options[1] == True:
a2 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a2.plot(tab.index, rs[:, 1], label='Contact%', color='dimgrey', linestyle='--')
else:
a2.plot(tab.index[term:], rs[:, 1], label='Contact%', color='dimgrey', linestyle='--')
a2.xaxis.set_major_formatter(datesFmt)
a2.grid(True)
a2.set_yticks([])
if max_y < rs[:, 1].max():
max_y = rs[:, 1].max()
if min_y > rs[:, 1].min():
min_y = rs[:, 1].min()
if options[2] == True:
a3 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a3.plot(tab.index, rs[:, 2], label='Z-Swing%', color='blue')
else:
a3.plot(tab.index[term:], rs[:, 2], label='Z-Swing%', color='blue')
a3.xaxis.set_major_formatter(datesFmt)
a3.grid(True)
a3.set_yticks([])
if max_y < rs[:, 2].max():
max_y = rs[:, 2].max()
if min_y > rs[:, 2].min():
min_y = rs[:, 2].min()
if options[3] == True:
a4 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a4.plot(tab.index, rs[:, 3], label='Z-Contact%', color='lightskyblue', linestyle='--')
else:
a4.plot(tab.index[term:], rs[:, 3], label='Z-Contact%', color='lightskyblue', linestyle='--')
a4.xaxis.set_major_formatter(datesFmt)
a4.grid(True)
a4.set_yticks([])
if max_y < rs[:, 3].max():
max_y = rs[:, 3].max()
if min_y > rs[:, 3].min():
min_y = rs[:, 3].min()
if options[4] == True:
a5 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a5.plot(tab.index, rs[:, 4], label='O-Swing%', color='green')
else:
a5.plot(tab.index[term:], rs[:, 4], label='O-Swing%', color='green')
a5.xaxis.set_major_formatter(datesFmt)
a5.grid(True)
a5.set_yticks([])
if max_y < rs[:, 4].max():
max_y = rs[:, 4].max()
if min_y > rs[:, 4].min():
min_y = rs[:, 4].min()
if options[5] == True:
a6 = a1.twinx()
if (ma_term <= 1) or (ma_term >= len(tab.index)):
a6.plot(tab.index, rs[:, 5], label='O-Contact%', color='lime', linestyle='--')
else:
a6.plot(tab.index[term:], rs[:, 5], label='O-Contact%', color='lime', linestyle='--')
a6.xaxis.set_major_formatter(datesFmt)
a6.grid(True)
a6.set_yticks([])
if max_y < rs[:, 5].max():
max_y = rs[:, 5].max()
if min_y > rs[:, 5].min():
min_y = rs[:, 5].min()
a1.set_ylim([max(0, min_y-5), max_y+5])
a1.set_ylabel('')
if a2 is not None:
a2.set_ylim([max(0, min_y-5), max_y+5])
a2.set_ylabel('')
if a3 is not None:
a3.set_ylim([max(0, min_y-5), max_y+5])
a3.set_ylabel('')
if a4 is not None:
a4.set_ylim([max(0, min_y-5), max_y+5])
a4.set_ylabel('')
if a5 is not None:
a5.set_ylim([max(0, min_y-5), max_y+5])
a5.set_ylabel('')
if a6 is not None:
a6.set_ylim([max(0, min_y-5), max_y+5])
a6.set_ylabel('')
fig.legend(loc='lower center',
ncol=min(np.array(options).sum(), 3),
fontsize='xx-small',
bbox_to_anchor=(0.5, -0.01))
a1.yaxis.set_major_locator(ticker.MultipleLocator(5))
a1.yaxis.set_minor_locator(ticker.MultipleLocator(1))
a1.grid(True)
a1.tick_params(labelsize='x-small')
return fig
def interactive_batting_graph(df):
batters = df.batter.drop_duplicates().values.tolist()
batters.sort()
batter = batters[0]
term= df.game_date.drop_duplicates().shape[0]
batterSelect = widgets.Dropdown(
options=batters,
index=0,
description='Batter:'
)
termSelectSlider = widgets.IntSlider(
value=0,
min=0,
max=df.loc[df.batter == batterSelect.value].game_date.drop_duplicates().shape[0],
step=1,
description='Term:',
continuous_update=True
)
def onSelectBatter(b):
termSelectSlider.max = df.loc[df.batter == batterSelect.value].game_date.drop_duplicates().shape[0]
batterSelect.observe(onSelectBatter, names='value')
words = ['AVG', 'OBP', 'SLG', 'OPS', 'BABIP']
items = [widgets.ToggleButton(description=w, value=True, layout=widgets.Layout(width='80px')) for w in words]
statSelectButton = widgets.HBox(items)
options = [True, True, True, True, True]
interactive_batting_graph.fig = graph_batting_result(df, batterSelect.value, termSelectSlider.value)
updateButton = widgets.Button(
disabled=False,
description='Update',
icon='check',
layout=widgets.Layout(width='80px')
)
def onClickUpdateButton(b):
clear_output()
display(batterSelect, termSelectSlider, statSelectButton, updateButton)
options = [it.value for it in items]
interactive_batting_graph.fig = graph_batting_result(df, batterSelect.value, termSelectSlider.value, options)
display(interactive_batting_graph.fig)
plt.close(interactive_batting_graph.fig)
updateButton.on_click(onClickUpdateButton)
display(batterSelect, termSelectSlider, statSelectButton, updateButton)
display(interactive_batting_graph.fig)
plt.close(interactive_batting_graph.fig)
def interactive_batter_discipline_graph(df):
batters = df.batter.drop_duplicates().values.tolist()
batters.sort()
batter = batters[0]
term= df.game_date.drop_duplicates().shape[0]
batterSelect = widgets.Dropdown(
options=batters,
index=0,
description='Batter:'
)
termSelectSlider = widgets.IntSlider(
value=0,
min=0,
max=df.loc[df.batter == batterSelect.value].game_date.drop_duplicates().shape[0],
step=1,
description='Term:',
continuous_update=True
)
def onSelectBatter(b):
termSelectSlider.max = df.loc[df.batter == batterSelect.value].game_date.drop_duplicates().shape[0]
batterSelect.observe(onSelectBatter, names='value')
words = ['Swing%', 'Contact%', 'Z-Swing%', 'Z-Contact%', 'O-Swing%', 'O-Contact%']
items = [widgets.ToggleButton(description=w, value=True, layout=widgets.Layout(width='100px')) for w in words]
box1 = widgets.HBox([items[0], items[2], items[4]])
box2 = widgets.HBox([items[1], items[3], items[5]])
statSelectButton = widgets.VBox([box1, box2])
options = [True, True, True, True, True, True]
interactive_batter_discipline_graph.fig = graph_batter_plate_discipline(df, batterSelect.value, termSelectSlider.value)
updateButton = widgets.Button(
disabled=False,
description='Update',
icon='check',
layout=widgets.Layout(width='80px')
)
def onClickUpdateButton(b):
clear_output()
display(batterSelect, termSelectSlider, statSelectButton, updateButton)
options = [it.value for it in items]
interactive_batter_discipline_graph.fig = graph_batter_plate_discipline(df, batterSelect.value, termSelectSlider.value, options)
display(interactive_batter_discipline_graph.fig)
plt.close(interactive_batter_discipline_graph.fig)
updateButton.on_click(onClickUpdateButton)
display(batterSelect, termSelectSlider, statSelectButton, updateButton)
display(interactive_batter_discipline_graph.fig)
plt.close(interactive_batter_discipline_graph.fig)
def interactive_pitching_graph(df):
pitchers = df.pitcher.drop_duplicates().values.tolist()
pitchers.sort()
pitcher = pitchers[0]
term= df.game_date.drop_duplicates().shape[0]
pitcherSelect = widgets.Dropdown(
options=pitchers,
index=0,
description='pitcher:'
)
termSelectSlider = widgets.IntSlider(
value=0,
min=0,
max=df.loc[df.pitcher == pitcherSelect.value].game_date.drop_duplicates().shape[0],
step=1,
description='Term:',
continuous_update=True
)
def onSelectPitcher(b):
termSelectSlider.max = df.loc[df.pitcher == pitcherSelect.value].game_date.drop_duplicates().shape[0]
pitcherSelect.observe(onSelectPitcher, names='value')
words = ['AVG', 'OBP', 'SLG', 'OPS', 'BABIP', 'K%', 'BB%']
items = [widgets.ToggleButton(description=w, value=True, layout=widgets.Layout(width='100px')) for w in words]
box1 = widgets.HBox([items[0], items[1], items[2], items[3]])
box2 = widgets.HBox([items[4], items[5], items[6]])
statSelectButton = widgets.VBox([box1, box2])
options = [True, True, True, True, True, True, True]
interactive_pitching_graph.fig = graph_pitching_result(df, pitcherSelect.value, termSelectSlider.value)
updateButton = widgets.Button(
disabled=False,
description='Update',
icon='check',
layout=widgets.Layout(width='80px')
)
def onClickUpdateButton(b):
clear_output()
display(pitcherSelect, termSelectSlider, statSelectButton, updateButton)
options = [it.value for it in items]
interactive_pitching_graph.fig = graph_pitching_result(df, pitcherSelect.value, termSelectSlider.value, options)
display(interactive_pitching_graph.fig)
plt.close(interactive_pitching_graph.fig)
updateButton.on_click(onClickUpdateButton)
display(pitcherSelect, termSelectSlider, statSelectButton, updateButton)
display(interactive_pitching_graph.fig)
plt.close(interactive_pitching_graph.fig)
def interactive_pitcher_discipline_graph(df):
pitchers = df.pitcher.drop_duplicates().values.tolist()
pitchers.sort()
pitcher = pitchers[0]
term= df.game_date.drop_duplicates().shape[0]
pitcherSelect = widgets.Dropdown(
options=pitchers,
index=0,
description='pitcher:'
)
termSelectSlider = widgets.IntSlider(
value=0,
min=0,
max=df.loc[df.pitcher == pitcherSelect.value].game_date.drop_duplicates().shape[0],
step=1,
description='Term:',
continuous_update=True
)
def onSelectpitcher(b):
termSelectSlider.max = df.loc[df.pitcher == pitcherSelect.value].game_date.drop_duplicates().shape[0]
pitcherSelect.observe(onSelectpitcher, names='value')
words = ['Swing%', 'Contact%', 'Z-Swing%', 'Z-Contact%', 'O-Swing%', 'O-Contact%']
items = [widgets.ToggleButton(description=w, value=True, layout=widgets.Layout(width='100px')) for w in words]
box1 = widgets.HBox([items[0], items[2], items[4]])
box2 = widgets.HBox([items[1], items[3], items[5]])
statSelectButton = widgets.VBox([box1, box2])
#options = [True, True, True, True, True, True]
interactive_pitcher_discipline_graph.fig = graph_pitcher_plate_discipline(df, pitcherSelect.value, termSelectSlider.value)
updateButton = widgets.Button(
disabled=False,
description='Update',
icon='check',
layout=widgets.Layout(width='80px')
)
def onClickUpdateButton(b):
clear_output()
display(pitcherSelect, termSelectSlider, statSelectButton, updateButton)
options = [it.value for it in items]
interactive_pitcher_discipline_graph.fig = graph_pitcher_plate_discipline(df, pitcherSelect.value, termSelectSlider.value, options)
display(interactive_pitcher_discipline_graph.fig)
plt.close(interactive_pitcher_discipline_graph.fig)
updateButton.on_click(onClickUpdateButton)
display(pitcherSelect, termSelectSlider, statSelectButton, updateButton)
display(interactive_pitcher_discipline_graph.fig)
plt.close(interactive_pitcher_discipline_graph.fig)
| 40.230362 | 139 | 0.553871 | 6,653 | 45,581 | 3.612355 | 0.04389 | 0.05326 | 0.028461 | 0.016477 | 0.977406 | 0.97079 | 0.968793 | 0.965547 | 0.961511 | 0.960263 | 0 | 0.034399 | 0.278669 | 45,581 | 1,132 | 140 | 40.265901 | 0.696554 | 0.013032 | 0 | 0.919006 | 0 | 0.045356 | 0.040695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017279 | false | 0 | 0.008639 | 0 | 0.030238 | 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 |
b79f71e263f760a3eb710bd0de347d57b34c01aa | 258 | py | Python | entity/cards/LT21_05H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 102 | 2021-10-20T09:06:39.000Z | 2022-03-28T13:35:11.000Z | entity/cards/LT21_05H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 98 | 2021-10-19T16:13:27.000Z | 2022-03-27T13:27:49.000Z | entity/cards/LT21_05H/__init__.py | x014/lushi_script | edab2b88e3f0de8139de2541ab2daa331f777c0e | [
"MIT"
] | 55 | 2021-10-19T03:56:50.000Z | 2022-03-25T08:25:26.000Z | # -*- coding: utf-8 -*-
import entity.cards.LT21_05H.LT21_05P1
import entity.cards.LT21_05H.LT21_05P2
import entity.cards.LT21_05H.LT21_05P3
import entity.cards.LT21_05H.LT21_05E1
import entity.cards.LT21_05H.LT21_05E2
import entity.cards.LT21_05H.LT21_05E3
| 32.25 | 38 | 0.829457 | 45 | 258 | 4.488889 | 0.311111 | 0.356436 | 0.504951 | 0.623762 | 0.831683 | 0.831683 | 0 | 0 | 0 | 0 | 0 | 0.228216 | 0.065891 | 258 | 7 | 39 | 36.857143 | 0.609959 | 0.081395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 10 |
b7e3adbda74db19a9c4db4c5e6ca64382e7926f8 | 17,353 | py | Python | tests/transformations_test/RemoveEpsilonRules/MultipleUsageTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 1 | 2021-02-04T12:41:08.000Z | 2021-02-04T12:41:08.000Z | tests/transformations_test/RemoveEpsilonRules/MultipleUsageTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 3 | 2017-07-08T16:28:52.000Z | 2020-04-23T18:06:24.000Z | tests/transformations_test/RemoveEpsilonRules/MultipleUsageTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 1 | 2021-02-04T12:41:10.000Z | 2021-02-04T12:41:10.000Z | #!/usr/bin/env python
"""
:Author Patrik Valkovic
:Created 20.08.2017 15:55
:Licence MIT
Part of grammpy
"""
from inspect import isclass
from unittest import TestCase, main
from grammpy import *
from grammpy.transforms import ContextFree
class S(Nonterminal): pass
class A(Nonterminal): pass
class B(Nonterminal): pass
class C(Nonterminal): pass
class D(Nonterminal): pass
class Rules(Rule):
rules = [
([S], [A, 0, A]),
([S], [0]),
([A], [B, C]),
([A], [2]),
([A], [C, C, C]), # multiple here
([B], [1, C]),
([B], [3, D]),
([B], [EPS]),
([C], [A, A, 3]),
([C], [EPS]),
([D], [A, A, B]),
([D], [A, A, 3])]
"""
S->A0A S->0 A->BC A->2 A->CCC B->1C B->3D B->eps C->AA3 C->eps D->AAB D->AA3
ToEpsilon: A, B, C, D
S->A0A S->0 A->BC A->2 A->CCC B->1C B->3D B->eps C->AA3 C->eps D->AAB D->AA3
------ ------
S->0A A->C A->CC B->1 B->3 C->A3 D->AB D->A3
S->A0 A->B D->AA
C->3 D->B D->3
D->A
"""
class MultipleUsageTest(TestCase):
def test_multipleUsage(self):
g = Grammar(terminals=[0, 1, 2, 3],
nonterminals=[S, A, B, C, D],
rules=[Rules],
start_symbol=S)
com = ContextFree.remove_rules_with_epsilon(g)
self.assertEqual(len(com.rules), 25)
self.assertEqual(com.rules.size(), 25)
class RuleNewSto0A(Rule): rule = ([S], [0, A])
self.assertIn(RuleNewSto0A, com.rules)
fromSto0A = list(filter(lambda x: hash(x) == hash(RuleNewSto0A), com.rules))[0]
self.assertTrue(isclass(fromSto0A))
self.assertTrue(issubclass(fromSto0A, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromSto0A.from_rule.rule, ([S], [A, 0, A]))
self.assertEqual(fromSto0A.replace_index, 0)
class RuleNewStoA0(Rule): rule = ([S], [A, 0])
self.assertIn(RuleNewStoA0, com.rules)
fromStoA0 = list(filter(lambda x: hash(x) == hash(RuleNewStoA0), com.rules))[0]
self.assertTrue(isclass(fromStoA0))
self.assertTrue(issubclass(fromStoA0, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromStoA0.from_rule.rule, ([S], [A, 0, A]))
self.assertEqual(fromStoA0.replace_index, 2)
class RuleNewAtoB(Rule): rule = ([A], [B])
self.assertIn(RuleNewAtoB, com.rules)
fromAtoB = list(filter(lambda x: hash(x) == hash(RuleNewAtoB), com.rules))[0]
self.assertTrue(isclass(fromAtoB))
self.assertTrue(issubclass(fromAtoB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoB.from_rule.rule, ([A], [B, C]))
self.assertEqual(fromAtoB.replace_index, 1)
class RuleNewAtoC(Rule): rule = ([A], [C])
self.assertIn(RuleNewAtoC, com.rules)
fromAtoC = list(filter(lambda x: hash(x) == hash(RuleNewAtoC), com.rules))[0]
self.assertTrue(isclass(fromAtoC))
self.assertTrue(issubclass(fromAtoC, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoC.from_rule.rule, ([A], [B, C]))
self.assertEqual(fromAtoC.replace_index, 0)
class RuleNewAtoCC(Rule): rule = ([A], [C, C])
self.assertIn(RuleNewAtoCC, com.rules)
fromAtoCC = list(filter(lambda x: hash(x) == hash(RuleNewAtoCC), com.rules))[0]
self.assertTrue(isclass(fromAtoCC))
self.assertTrue(issubclass(fromAtoCC, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoCC.from_rule.rule, ([A], [C, C, C]))
self.assertEqual(fromAtoCC.replace_index, 0)
class RuleNewBto1(Rule): rule = ([B], [1])
self.assertIn(RuleNewBto1, com.rules)
fromBto1 = list(filter(lambda x: hash(x) == hash(RuleNewBto1), com.rules))[0]
self.assertTrue(isclass(fromBto1))
self.assertTrue(issubclass(fromBto1, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromBto1.from_rule.rule, ([B], [1, C]))
self.assertEqual(fromBto1.replace_index, 1)
class RuleNewBto3(Rule): rule = ([B], [3])
self.assertIn(RuleNewBto3, com.rules)
fromBto3 = list(filter(lambda x: hash(x) == hash(RuleNewBto3), com.rules))[0]
self.assertTrue(isclass(fromBto3))
self.assertTrue(issubclass(fromBto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromBto3.from_rule.rule, ([B], [3, D]))
self.assertEqual(fromBto3.replace_index, 1)
class RuleNewCtoA3(Rule): rule = ([C], [A, 3])
self.assertIn(RuleNewCtoA3, com.rules)
fromCtoA3 = list(filter(lambda x: hash(x) == hash(RuleNewCtoA3), com.rules))[0]
self.assertTrue(isclass(fromCtoA3))
self.assertTrue(issubclass(fromCtoA3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromCtoA3.from_rule.rule, ([C], [A, A, 3]))
self.assertEqual(fromCtoA3.replace_index, 0)
class RuleNewDtoAB(Rule): rule = ([D], [A, B])
self.assertIn(RuleNewDtoAB, com.rules)
fromDtoAB = list(filter(lambda x: hash(x) == hash(RuleNewDtoAB), com.rules))[0]
self.assertTrue(isclass(fromDtoAB))
self.assertTrue(issubclass(fromDtoAB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoAB.from_rule.rule, ([D], [A, A, B]))
self.assertEqual(fromDtoAB.replace_index, 0)
class RuleNewDtoAA(Rule): rule = ([D], [A, A])
self.assertIn(RuleNewDtoAA, com.rules)
fromDtoAA = list(filter(lambda x: hash(x) == hash(RuleNewDtoAA), com.rules))[0]
self.assertTrue(isclass(fromDtoAA))
self.assertTrue(issubclass(fromDtoAA, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoAA.from_rule.rule, ([D], [A, A, B]))
self.assertEqual(fromDtoAA.replace_index, 2)
class RuleNewDtoA3(Rule): rule = ([D], [A, 3])
self.assertIn(RuleNewDtoA3, com.rules)
fromDtoA3 = list(filter(lambda x: hash(x) == hash(RuleNewDtoA3), com.rules))[0]
self.assertTrue(isclass(fromDtoA3))
self.assertTrue(issubclass(fromDtoA3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoA3.from_rule.rule, ([D], [A, A, 3]))
self.assertEqual(fromDtoA3.replace_index, 0)
class RuleNewCto3(Rule): rule = ([C], [3])
self.assertIn(RuleNewCto3, com.rules)
fromCto3 = list(filter(lambda x: hash(x) == hash(RuleNewCto3), com.rules))[0]
self.assertTrue(isclass(fromCto3))
self.assertTrue(issubclass(fromCto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromCto3.from_rule.rule, ([C], [A, 3]))
self.assertEqual(fromCto3.replace_index, 0)
class RuleNewDtoA(Rule): rule = ([D], [A])
self.assertIn(RuleNewDtoA, com.rules)
fromDtoA = list(filter(lambda x: hash(x) == hash(RuleNewDtoA), com.rules))[0]
self.assertTrue(isclass(fromDtoA))
self.assertTrue(issubclass(fromDtoA, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoA.from_rule.rule, ([D], [A, B]))
self.assertEqual(fromDtoA.replace_index, 1)
class RuleNewDtoB(Rule): rule = ([D], [B])
self.assertIn(RuleNewDtoB, com.rules)
fromDtoB = list(filter(lambda x: hash(x) == hash(RuleNewDtoB), com.rules))[0]
self.assertTrue(isclass(fromDtoB))
self.assertTrue(issubclass(fromDtoB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoB.from_rule.rule, ([D], [A, B]))
self.assertEqual(fromDtoB.replace_index, 0)
class RuleNewDto3(Rule): rule = ([D], [3])
self.assertIn(RuleNewDto3, com.rules)
fromDto3 = list(filter(lambda x: hash(x) == hash(RuleNewDto3), com.rules))[0]
self.assertTrue(isclass(fromDto3))
self.assertTrue(issubclass(fromDto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDto3.from_rule.rule, ([D], [A, 3]))
self.assertEqual(fromDto3.replace_index, 0)
class BtoEps(Rule): rule=([B], [EPS])
class CtoEps(Rule): rule=([B], [EPS])
self.assertNotIn(BtoEps, com.rules)
self.assertNotIn(CtoEps, com.rules)
def test_multipleUsageShouldNotChange(self):
g = Grammar(terminals=[0, 1, 2, 3],
nonterminals=[S, A, B, C, D],
rules=[Rules],
start_symbol=S)
ContextFree.remove_rules_with_epsilon(g)
self.assertEqual(len(g.rules), 12)
self.assertEqual(g.rules.size(), 12)
class RuleNewAto0A(Rule): rule = ([A], [0, A])
class RuleNewAtoA0(Rule): rule = ([A], [A, 0])
class RuleNewAtoB(Rule): rule = ([A], [B])
class RuleNewAtoC(Rule): rule = ([A], [C])
class RuleNewAtoCC(Rule): rule = ([A], [C, C])
class RuleNewAto1(Rule): rule = ([A], [1])
class RuleNewBto3(Rule): rule = ([B], [3])
class RuleNewCtoA3(Rule): rule = ([C], [A, 3])
class RuleNewDtoAB(Rule): rule = ([D], [A, B])
class RuleNewDtoAA(Rule): rule = ([D], [A, A])
class RuleNewDtoA3(Rule): rule = ([D], [A, 3])
class RuleNewCto3(Rule): rule = ([C], [3])
class RuleNewDtoA(Rule): rule = ([D], [A])
class RuleNewDtoB(Rule): rule = ([D], [B])
class RuleNewDto3(Rule): rule = ([D], [3])
self.assertNotIn(RuleNewAto0A, g.rules)
self.assertNotIn(RuleNewAtoA0, g.rules)
self.assertNotIn(RuleNewAtoB, g.rules)
self.assertNotIn(RuleNewAtoC, g.rules)
self.assertNotIn(RuleNewAtoCC, g.rules)
self.assertNotIn(RuleNewAto1, g.rules)
self.assertNotIn(RuleNewBto3, g.rules)
self.assertNotIn(RuleNewCtoA3, g.rules)
self.assertNotIn(RuleNewDtoAB, g.rules)
self.assertNotIn(RuleNewDtoAA, g.rules)
self.assertNotIn(RuleNewDtoA3, g.rules)
self.assertNotIn(RuleNewCto3, g.rules)
self.assertNotIn(RuleNewDtoA, g.rules)
self.assertNotIn(RuleNewDtoB, g.rules)
self.assertNotIn(RuleNewDto3, g.rules)
class BtoEps(Rule): rule=([B], [EPS])
class CtoEps(Rule): rule=([B], [EPS])
self.assertIn(BtoEps, g.rules)
self.assertIn(CtoEps, g.rules)
def test_multipleUsageShouldChange(self):
g = Grammar(terminals=[0, 1, 2, 3],
nonterminals=[S, A, B, C, D],
rules=[Rules],
start_symbol=S)
ContextFree.remove_rules_with_epsilon(g, True)
self.assertEqual(len(g.rules), 25)
self.assertEqual(g.rules.size(), 25)
class RuleNewSto0A(Rule): rule = ([S], [0, A])
self.assertIn(RuleNewSto0A, g.rules)
fromSto0A = list(filter(lambda x: hash(x) == hash(RuleNewSto0A), g.rules))[0]
self.assertTrue(isclass(fromSto0A))
self.assertTrue(issubclass(fromSto0A, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromSto0A.from_rule.rule, ([S], [A, 0, A]))
self.assertEqual(fromSto0A.replace_index, 0)
class RuleNewStoA0(Rule): rule = ([S], [A, 0])
self.assertIn(RuleNewStoA0, g.rules)
fromStoA0 = list(filter(lambda x: hash(x) == hash(RuleNewStoA0), g.rules))[0]
self.assertTrue(isclass(fromStoA0))
self.assertTrue(issubclass(fromStoA0, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromStoA0.from_rule.rule, ([S], [A, 0, A]))
self.assertEqual(fromStoA0.replace_index, 2)
class RuleNewAtoB(Rule): rule = ([A], [B])
self.assertIn(RuleNewAtoB, g.rules)
fromAtoB = list(filter(lambda x: hash(x) == hash(RuleNewAtoB), g.rules))[0]
self.assertTrue(isclass(fromAtoB))
self.assertTrue(issubclass(fromAtoB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoB.from_rule.rule, ([A], [B, C]))
self.assertEqual(fromAtoB.replace_index, 1)
class RuleNewAtoC(Rule): rule = ([A], [C])
self.assertIn(RuleNewAtoC, g.rules)
fromAtoC = list(filter(lambda x: hash(x) == hash(RuleNewAtoC), g.rules))[0]
self.assertTrue(isclass(fromAtoC))
self.assertTrue(issubclass(fromAtoC, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoC.from_rule.rule, ([A], [B, C]))
self.assertEqual(fromAtoC.replace_index, 0)
class RuleNewAtoCC(Rule): rule = ([A], [C, C])
self.assertIn(RuleNewAtoCC, g.rules)
fromAtoCC = list(filter(lambda x: hash(x) == hash(RuleNewAtoCC), g.rules))[0]
self.assertTrue(isclass(fromAtoCC))
self.assertTrue(issubclass(fromAtoCC, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromAtoCC.from_rule.rule, ([A], [C, C, C]))
self.assertEqual(fromAtoCC.replace_index, 0)
class RuleNewBto1(Rule): rule = ([B], [1])
self.assertIn(RuleNewBto1, g.rules)
fromBto1 = list(filter(lambda x: hash(x) == hash(RuleNewBto1), g.rules))[0]
self.assertTrue(isclass(fromBto1))
self.assertTrue(issubclass(fromBto1, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromBto1.from_rule.rule, ([B], [1, C]))
self.assertEqual(fromBto1.replace_index, 1)
class RuleNewBto3(Rule): rule = ([B], [3])
self.assertIn(RuleNewBto3, g.rules)
fromBto3 = list(filter(lambda x: hash(x) == hash(RuleNewBto3), g.rules))[0]
self.assertTrue(isclass(fromBto3))
self.assertTrue(issubclass(fromBto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromBto3.from_rule.rule, ([B], [3, D]))
self.assertEqual(fromBto3.replace_index, 1)
class RuleNewCtoA3(Rule): rule = ([C], [A, 3])
self.assertIn(RuleNewCtoA3, g.rules)
fromCtoA3 = list(filter(lambda x: hash(x) == hash(RuleNewCtoA3), g.rules))[0]
self.assertTrue(isclass(fromCtoA3))
self.assertTrue(issubclass(fromCtoA3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromCtoA3.from_rule.rule, ([C], [A, A, 3]))
self.assertEqual(fromCtoA3.replace_index, 0)
class RuleNewDtoAB(Rule): rule = ([D], [A, B])
self.assertIn(RuleNewDtoAB, g.rules)
fromDtoAB = list(filter(lambda x: hash(x) == hash(RuleNewDtoAB), g.rules))[0]
self.assertTrue(isclass(fromDtoAB))
self.assertTrue(issubclass(fromDtoAB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoAB.from_rule.rule, ([D], [A, A, B]))
self.assertEqual(fromDtoAB.replace_index, 0)
class RuleNewDtoAA(Rule): rule = ([D], [A, A])
self.assertIn(RuleNewDtoAA, g.rules)
fromDtoAA = list(filter(lambda x: hash(x) == hash(RuleNewDtoAA), g.rules))[0]
self.assertTrue(isclass(fromDtoAA))
self.assertTrue(issubclass(fromDtoAA, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoAA.from_rule.rule, ([D], [A, A, B]))
self.assertEqual(fromDtoAA.replace_index, 2)
class RuleNewDtoA3(Rule): rule = ([D], [A, 3])
self.assertIn(RuleNewDtoA3, g.rules)
fromDtoA3 = list(filter(lambda x: hash(x) == hash(RuleNewDtoA3), g.rules))[0]
self.assertTrue(isclass(fromDtoA3))
self.assertTrue(issubclass(fromDtoA3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoA3.from_rule.rule, ([D], [A, A, 3]))
self.assertEqual(fromDtoA3.replace_index, 0)
class RuleNewCto3(Rule): rule = ([C], [3])
self.assertIn(RuleNewCto3, g.rules)
fromCto3 = list(filter(lambda x: hash(x) == hash(RuleNewCto3), g.rules))[0]
self.assertTrue(isclass(fromCto3))
self.assertTrue(issubclass(fromCto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromCto3.from_rule.rule, ([C], [A, 3]))
self.assertEqual(fromCto3.replace_index, 0)
class RuleNewDtoA(Rule): rule = ([D], [A])
self.assertIn(RuleNewDtoA, g.rules)
fromDtoA = list(filter(lambda x: hash(x) == hash(RuleNewDtoA), g.rules))[0]
self.assertTrue(isclass(fromDtoA))
self.assertTrue(issubclass(fromDtoA, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoA.from_rule.rule, ([D], [A, B]))
self.assertEqual(fromDtoA.replace_index, 1)
class RuleNewDtoB(Rule): rule = ([D], [B])
self.assertIn(RuleNewDtoB, g.rules)
fromDtoB = list(filter(lambda x: hash(x) == hash(RuleNewDtoB), g.rules))[0]
self.assertTrue(isclass(fromDtoB))
self.assertTrue(issubclass(fromDtoB, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDtoB.from_rule.rule, ([D], [A, B]))
self.assertEqual(fromDtoB.replace_index, 0)
class RuleNewDto3(Rule): rule = ([D], [3])
self.assertIn(RuleNewDto3, g.rules)
fromDto3 = list(filter(lambda x: hash(x) == hash(RuleNewDto3), g.rules))[0]
self.assertTrue(isclass(fromDto3))
self.assertTrue(issubclass(fromDto3, ContextFree.EpsilonRemovedRule))
self.assertEqual(fromDto3.from_rule.rule, ([D], [A, 3]))
self.assertEqual(fromDto3.replace_index, 0)
class BtoEps(Rule): rule=([B], [EPS])
class CtoEps(Rule): rule=([B], [EPS])
self.assertNotIn(BtoEps, g.rules)
self.assertNotIn(CtoEps, g.rules)
if __name__ == '__main__':
main()
| 52.111111 | 94 | 0.616147 | 2,016 | 17,353 | 5.262401 | 0.064484 | 0.06108 | 0.045245 | 0.048072 | 0.875295 | 0.868602 | 0.850693 | 0.832124 | 0.832124 | 0.825526 | 0 | 0.023151 | 0.230853 | 17,353 | 332 | 95 | 52.268072 | 0.771709 | 0.006512 | 0 | 0.596026 | 0 | 0 | 0.000484 | 0 | 0 | 0 | 0 | 0 | 0.586093 | 1 | 0.009934 | false | 0.016556 | 0.013245 | 0 | 0.218543 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b7ec74a1d068940e88ef8e6c76f16c786ae0f110 | 2,569 | py | Python | util/rotations.py | Heng-Z/mwr | 28e42a3a64f46dc627333b2c6ae4b317803648ba | [
"MIT"
] | 21 | 2021-07-21T06:27:11.000Z | 2022-03-24T10:26:08.000Z | util/rotations.py | Heng-Z/mwr | 28e42a3a64f46dc627333b2c6ae4b317803648ba | [
"MIT"
] | 14 | 2021-07-28T12:35:32.000Z | 2022-02-19T03:23:29.000Z | util/rotations.py | Heng-Z/mwr | 28e42a3a64f46dc627333b2c6ae4b317803648ba | [
"MIT"
] | 1 | 2021-11-08T21:16:03.000Z | 2021-11-08T21:16:03.000Z |
'''
rotation_list = {
0: [(((0,1),1),((1,2),1)), (((0,2),1),((1,2),1))],
1: [(((1,0),1),((1,2),1)), (((2,0),1),((1,2),1))],
2: [(((0,1),1),((1,2),3)), (((0,2),1),((1,2),3))],
3: [(((1,0),1),((1,2),3)), (((2,0),1),((1,2),3))],
4: [(((0,1),1),((1,2),0)), (((0,2),1),((1,2),0))],
5: [(((1,0),1),((1,2),0)), (((2,0),1),((1,2),0))],
6: [(((0,1),1),((1,2),2)), (((0,2),1),((1,2),2))],
7: [(((1,0),1),((1,2),2)), (((2,0),1),((1,2),2))],
}
rotation_list = {
0: [(((0,1),1),((1,2),0)), (((0,1),1),((1,2),1)), (((0,2),1),((1,2),0)), (((0,2),1),((1,2),1))],
1: [(((0,1),1),((1,2),2)), (((0,1),1),((1,2),3)), (((0,2),1),((1,2),2)), (((0,2),1),((1,2),3))],
2: [(((0,1),3),((1,2),0)), (((0,1),3),((1,2),1)), (((0,2),3),((1,2),0)), (((0,2),1),((1,2),1))],
3: [(((0,1),3),((1,2),2)), (((0,1),3),((1,2),3)), (((0,2),3),((1,2),2)), (((0,2),1),((1,2),3))],
}
'''
# this is used in mwr_cli 26 Dec
# rotation_list = [(((0,1),1),((1,2),0)), (((0,1),1),((1,2),1)), (((1,2),1),((0,2),0)), (((0,2),1),((1,2),1)),
# (((0,1),1),((1,2),2)), (((0,1),1),((1,2),3)), (((1,2),1),((0,2),2)), (((0,2),1),((1,2),3)),
# (((0,1),3),((1,2),0)), (((0,1),3),((1,2),1)), (((1,2),3),((0,2),0)), (((0,2),1),((1,2),1)),
# (((0,1),3),((1,2),2)), (((0,1),3),((1,2),3)), (((1,2),3),((0,2),2)), (((0,2),1),((1,2),3))]
# this is from old dgx(workhorse branch) version
# rotation_list = [(((0,1),1),((1,2),0)), (((0,1),1),((1,2),1)), (((0,2),1),((1,2),0)), (((0,2),1),((1,2),1)),
# (((0,1),1),((1,2),2)), (((0,1),1),((1,2),3)), (((0,2),1),((1,2),2)), (((0,2),1),((1,2),3)),
# (((0,1),3),((1,2),0)), (((0,1),3),((1,2),1)), (((0,2),3),((1,2),0)), (((0,2),1),((1,2),1)),
# (((0,1),3),((1,2),2)), (((0,1),3),((1,2),3)), (((0,2),3),((1,2),2)), (((0,2),1),((1,2),3))]
#All 20 rotation
rotation_list = [(((0,1),1),((1,2),0)), (((0,1),1),((1,2),1)), (((0,2),1),((1,2),0)), (((0,2),1),((1,2),1)),
(((0,1),1),((1,2),2)), (((0,1),1),((1,2),3)), (((0,2),1),((1,2),2)), (((0,2),1),((1,2),3)),
(((0,1),3),((1,2),0)), (((0,1),3),((1,2),1)), (((0,2),3),((1,2),0)), (((0,2),1),((1,2),1)),
(((0,1),3),((1,2),2)), (((0,1),3),((1,2),3)), (((0,2),3),((1,2),2)), (((0,2),1),((1,2),3)),
(((1,2),1),((0,2),0)), (((1,2),1),((0,2),2)), (((1,2),3),((0,2),0)), (((1,2),3),((0,2),2))]
#((0,1),0),((1,2),0)), (((0,1),0),((1,2),1)),
#((0,1),0),((1,2),2)), (((0,1),0),((1,2),3)),
#((0,1),2),((1,2),0)), (((0,1),2),((1,2),1)),
#((0,1),2),((1,2),2)), (((0,1),2),((1,2),3)),
| 52.428571 | 111 | 0.274037 | 593 | 2,569 | 1.177066 | 0.043845 | 0.280802 | 0.240688 | 0.160458 | 0.902579 | 0.809456 | 0.776504 | 0.726361 | 0.690544 | 0.63467 | 0 | 0.253232 | 0.126898 | 2,569 | 48 | 112 | 53.520833 | 0.057958 | 0.752822 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 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 | 11 |
4da2c32d94bd0630dbf0cc87735a1e5240a11df1 | 34,410 | py | Python | modules/unit_tests/s3db/hrm.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | 1 | 2015-01-24T04:31:51.000Z | 2015-01-24T04:31:51.000Z | modules/unit_tests/s3db/hrm.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | null | null | null | modules/unit_tests/s3db/hrm.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# HRM Unit Tests
#
# To run this script use:
# python web2py.py -S eden -M -R applications/eden/modules/unit_tests/s3db/hrm.py
#
import unittest
from gluon import *
from gluon.storage import Storage
# =============================================================================
class LocationSettingTests(unittest.TestCase):
""" Test setting/updating of the location_id field in hrm_human_resource """
# -------------------------------------------------------------------------
def setUp(self):
current.auth.override = True
# -------------------------------------------------------------------------
def tearDown(self):
current.db.rollback()
current.auth.override = False
# -------------------------------------------------------------------------
def _testStaffWithExistingLocations(self, site, address):
"""
Test a New Staff with existing Site &/or Home Address
"""
db = current.db
s3db = current.s3db
gtable = s3db.gis_location
if site:
# Create a Site Location
record = Storage(name = "Test Site Location",
)
site_location_id = gtable.insert(**record)
self.assertNotEqual(site_location_id, None)
record["id"] = site_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Create a Site with that Location
otable = s3db.org_office
record = Storage(name = "Test Office",
location_id = site_location_id,
)
office_id = otable.insert(**record)
self.assertNotEqual(office_id, None)
record["id"] = office_id
s3db.update_super(otable, record)
s3db.onaccept(otable, record, method="create")
site_id = record["site_id"]
else:
site_id = site_location_id = None
# Create a Person
ptable = s3db.pr_person
record = Storage(first_name = "Test",
last_name = "Person",
)
person_id = ptable.insert(**record)
self.assertNotEqual(person_id, None)
record["id"] = person_id
s3db.update_super(ptable, record)
s3db.onaccept(ptable, record, method="create")
if address:
pe_id = record["pe_id"]
# Create an Address Location
record = Storage(name = "Test Address Location",
)
address_location_id = gtable.insert(**record)
self.assertNotEqual(address_location_id, None)
record["id"] = address_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Give them a Home Address with that Location
atable = s3db.pr_address
record = Storage(pe_id = pe_id,
type = 1,
location_id = address_location_id,
)
address_id = atable.insert(**record)
self.assertNotEqual(address_id, None)
record["id"] = address_id
#s3db.update_super(atable, record)
s3db.onaccept(atable, record, method="create")
else:
address_location_id = None
# Make them a Staff
htable = s3db.hrm_human_resource
record = Storage(person_id = person_id,
type = 1,
site_id = site_id,
)
human_resource_id = htable.insert(**record)
self.assertNotEqual(human_resource_id, None)
record["id"] = human_resource_id
s3db.update_super(htable, record)
s3db.onaccept(htable, record, method="create")
# Test that the HR location is set correctly
row = db(htable.id == human_resource_id).select(htable.location_id,
limitby=(0, 1)).first()
self.assertNotEqual(row, None)
return row, address_location_id, site_location_id
# -------------------------------------------------------------------------
def testStaffWithExistingLocations1(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations2(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations3(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations4(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations5(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations6(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations7(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations8(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations9(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations10(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations11(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations12(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations13(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations14(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations15(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testStaffWithExistingLocations16(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def _testStaffUpdateFromSite(self, address):
"""
Test a Staff which has a Site assigned after creation
"""
db = current.db
s3db = current.s3db
gtable = s3db.gis_location
# Create a Site Location
record = Storage(name = "Test Site Location",
)
site_location_id = gtable.insert(**record)
self.assertNotEqual(site_location_id, None)
record["id"] = site_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Create a Site with that Location
otable = s3db.org_office
record = Storage(name = "Test Office",
location_id = site_location_id,
)
office_id = otable.insert(**record)
self.assertNotEqual(office_id, None)
record["id"] = office_id
s3db.update_super(otable, record)
s3db.onaccept(otable, record, method="create")
site_id = record["site_id"]
# Create a Person
ptable = s3db.pr_person
record = Storage(first_name = "Test",
last_name = "Person",
)
person_id = ptable.insert(**record)
self.assertNotEqual(person_id, None)
record["id"] = person_id
s3db.update_super(ptable, record)
s3db.onaccept(ptable, record, method="create")
if address:
pe_id = record["pe_id"]
# Create an Address Location
record = Storage(name = "Test Address Location",
)
address_location_id = gtable.insert(**record)
self.assertNotEqual(address_location_id, None)
record["id"] = address_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Give them a Home Address with that Location
atable = s3db.pr_address
record = Storage(pe_id = pe_id,
type = 1,
location_id = address_location_id,
)
address_id = atable.insert(**record)
self.assertNotEqual(address_id, None)
record["id"] = address_id
#s3db.update_super(atable, record)
s3db.onaccept(atable, record, method="create")
else:
address_location_id = None
# Make them a Staff
htable = s3db.hrm_human_resource
record = Storage(person_id = person_id,
type = 1,
#site_id = site_id,
)
human_resource_id = htable.insert(**record)
self.assertNotEqual(human_resource_id, None)
record["id"] = human_resource_id
s3db.update_super(htable, record)
s3db.onaccept(htable, record, method="create")
# Assign the Staff to a Site
ltable = s3db.hrm_human_resource_site
record = Storage(human_resource_id = human_resource_id,
site_id = site_id,
)
link_id = ltable.insert(**record)
self.assertNotEqual(link_id, None)
record["id"] = link_id
#s3db.update_super(ltable, record)
s3db.onaccept(ltable, record, method="create")
# Test that the HR location is set correctly
row = db(htable.id == human_resource_id).select(htable.location_id,
limitby=(0, 1)).first()
self.assertNotEqual(row, None)
return row, address_location_id, site_location_id
# -------------------------------------------------------------------------
def testStaffUpdateFromSite1(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite2(self):
current.deployment_settings.hrm.location_staff = "site_id"
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite3(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite4(self):
current.deployment_settings.hrm.location_staff = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite5(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite6(self):
current.deployment_settings.hrm.location_staff = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite7(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testStaffUpdateFromSite8(self):
current.deployment_settings.hrm.location_staff = "person_id"
row, address_location_id, site_location_id = self._testStaffUpdateFromSite(address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def _testVolWithExistingLocations(self, site, address):
"""
Test a New Volunteer with existing Site &/or Home Address
"""
db = current.db
s3db = current.s3db
gtable = s3db.gis_location
# Create a Person
ptable = s3db.pr_person
record = Storage(first_name = "Test",
last_name = "Person",
)
person_id = ptable.insert(**record)
self.assertNotEqual(person_id, None)
record["id"] = person_id
s3db.update_super(ptable, record)
s3db.onaccept(ptable, record, method="create")
pe_id = record["pe_id"]
if address:
# Create an Address Location
record = Storage(name = "Test Address Location",
)
address_location_id = gtable.insert(**record)
self.assertNotEqual(address_location_id, None)
record["id"] = address_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Give them a Home Address with that Location
atable = s3db.pr_address
record = Storage(pe_id = pe_id,
type = 1,
location_id = address_location_id,
)
address_id = atable.insert(**record)
self.assertNotEqual(address_id, None)
record["id"] = address_id
#s3db.update_super(atable, record)
s3db.onaccept(atable, record, method="create")
else:
address_location_id = None
if site:
# Create a Site Location
record = Storage(name = "Test Site Location",
)
site_location_id = gtable.insert(**record)
self.assertNotEqual(site_location_id, None)
record["id"] = site_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Create a Site with that Location
otable = s3db.org_office
record = Storage(name = "Test Office",
location_id = site_location_id,
)
office_id = otable.insert(**record)
self.assertNotEqual(office_id, None)
record["id"] = office_id
s3db.update_super(otable, record)
s3db.onaccept(otable, record, method="create")
site_id = record["site_id"]
else:
site_location_id = site_id = None
# Make them a Volunteer
htable = s3db.hrm_human_resource
record = Storage(person_id = person_id,
type = 2,
site_id = site_id
)
human_resource_id = htable.insert(**record)
self.assertNotEqual(human_resource_id, None)
record["id"] = human_resource_id
s3db.update_super(htable, record)
s3db.onaccept(htable, record, method="create")
# Test that the HR location is set correctly
row = db(htable.id == human_resource_id).select(htable.location_id,
limitby=(0, 1)).first()
self.assertNotEqual(row, None)
return row, address_location_id, site_location_id
# -------------------------------------------------------------------------
def testVolWithExistingLocations1(self):
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations2(self):
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations3(self):
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations4(self):
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations5(self):
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations6(self):
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations7(self):
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations8(self):
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations9(self):
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations10(self):
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations11(self):
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations12(self):
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations13(self):
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=True)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations14(self):
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=False, address=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolWithExistingLocations15(self):
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testVolWithExistingLocations16(self):
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolWithExistingLocations(site=True, address=False)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def _testVolUpdateFromPersonAddress(self, site):
"""
Test a Volunteer which has a Home Address added after creation
"""
db = current.db
s3db = current.s3db
gtable = s3db.gis_location
if site:
# Create a Site Location
record = Storage(name = "Test Site Location",
)
site_location_id = gtable.insert(**record)
self.assertNotEqual(site_location_id, None)
record["id"] = site_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Create a Site with that Location
otable = s3db.org_office
record = Storage(name = "Test Office",
location_id = site_location_id,
)
office_id = otable.insert(**record)
self.assertNotEqual(office_id, None)
record["id"] = office_id
s3db.update_super(otable, record)
s3db.onaccept(otable, record, method="create")
site_id = record["site_id"]
else:
site_location_id = site_id = None
# Create a Person
ptable = s3db.pr_person
record = Storage(first_name = "Test",
last_name = "Person",
)
person_id = ptable.insert(**record)
self.assertNotEqual(person_id, None)
record["id"] = person_id
s3db.update_super(ptable, record)
s3db.onaccept(ptable, record, method="create")
pe_id = record["pe_id"]
# Make them a Volunteer
htable = s3db.hrm_human_resource
record = Storage(person_id = person_id,
type = 2,
site_id = site_id,
)
human_resource_id = htable.insert(**record)
self.assertNotEqual(human_resource_id, None)
record["id"] = human_resource_id
s3db.update_super(htable, record)
s3db.onaccept(htable, record, method="create")
# Create a Location
#gtable = s3db.gis_location
record = Storage(name = "Test Location",
)
address_location_id = gtable.insert(**record)
self.assertNotEqual(address_location_id, None)
record["id"] = address_location_id
#s3db.update_super(gtable, record)
s3db.onaccept(gtable, record, method="create")
# Give them a Home Address with that Location
atable = s3db.pr_address
record = Storage(pe_id = pe_id,
type = 1,
location_id = address_location_id,
)
address = atable.insert(**record)
self.assertNotEqual(address, None)
record["id"] = address
#s3db.update_super(atable, record)
s3db.onaccept(atable, record, method="create")
# Test that the HR location is set correctly
row = db(htable.id == human_resource_id).select(htable.location_id,
limitby=(0, 1)).first()
self.assertNotEqual(row, None)
return row, address_location_id, site_location_id
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress1(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with just "person_id"
"""
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=False)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress2(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with just "person_id"
"""
current.deployment_settings.hrm.location_vol = "person_id"
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress3(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with "person_id" 1st
"""
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=False)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress4(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with "person_id" 1st
"""
current.deployment_settings.hrm.location_vol = ("person_id", "site_id")
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=True)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress5(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with "person_id" 2nd
"""
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=False)
self.assertEqual(row.location_id, address_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress6(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with "person_id" 2nd
"""
current.deployment_settings.hrm.location_vol = ("site_id", "person_id")
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=True)
self.assertEqual(row.location_id, site_location_id)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress7(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with no "person_id"
"""
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=False)
self.assertEqual(row.location_id, None)
# -------------------------------------------------------------------------
def testVolUpdateFromPersonAddress8(self):
"""
Test that a Volunteer can get their location_id updated from a
New Home Address: with no "person_id"
"""
current.deployment_settings.hrm.location_vol = "site_id"
row, address_location_id, site_location_id = self._testVolUpdateFromPersonAddress(site=True)
self.assertEqual(row.location_id, site_location_id)
# =============================================================================
def run_suite(*test_classes):
""" Run the test suite """
loader = unittest.TestLoader()
suite = unittest.TestSuite()
for test_class in test_classes:
tests = loader.loadTestsFromTestCase(test_class)
suite.addTests(tests)
if suite is not None:
unittest.TextTestRunner(verbosity=2).run(suite)
return
if __name__ == "__main__":
run_suite(
LocationSettingTests,
)
# END ========================================================================
| 41.507841 | 116 | 0.562714 | 3,208 | 34,410 | 5.772756 | 0.058915 | 0.132297 | 0.066526 | 0.06739 | 0.863546 | 0.861602 | 0.856796 | 0.856796 | 0.856418 | 0.85604 | 0 | 0.006349 | 0.240192 | 34,410 | 828 | 117 | 41.557971 | 0.70197 | 0.198198 | 0 | 0.766316 | 0 | 0 | 0.039335 | 0 | 0 | 0 | 0 | 0 | 0.162105 | 1 | 0.115789 | false | 0 | 0.006316 | 0 | 0.134737 | 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 |
4da8cb30fc44a2fc581017ebf1fe9122a2b4a179 | 101 | py | Python | pyqtcheck.py | justinkjackson/ImpactTestFixture | 96d6aee6de30b34558dcd77a975f21424801061e | [
"Apache-2.0"
] | null | null | null | pyqtcheck.py | justinkjackson/ImpactTestFixture | 96d6aee6de30b34558dcd77a975f21424801061e | [
"Apache-2.0"
] | null | null | null | pyqtcheck.py | justinkjackson/ImpactTestFixture | 96d6aee6de30b34558dcd77a975f21424801061e | [
"Apache-2.0"
] | null | null | null | from PyQt5.Qt import PYQT_VERSION_STR
#cfg = Configuration()
print("PyQT version: ",PYQT_VERSION_STR) | 33.666667 | 40 | 0.80198 | 15 | 101 | 5.133333 | 0.666667 | 0.428571 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01087 | 0.089109 | 101 | 3 | 40 | 33.666667 | 0.826087 | 0.207921 | 0 | 0 | 0 | 0 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
4dcb7efff1e779a2ac3546fafb69c790babb93c4 | 62,491 | py | Python | codes/models/archs/EDVR_arch.py | DengpanFu/mmsr | addfabdaee86d2f9e41988dcfe92a817c5efe7ab | [
"Apache-2.0"
] | null | null | null | codes/models/archs/EDVR_arch.py | DengpanFu/mmsr | addfabdaee86d2f9e41988dcfe92a817c5efe7ab | [
"Apache-2.0"
] | null | null | null | codes/models/archs/EDVR_arch.py | DengpanFu/mmsr | addfabdaee86d2f9e41988dcfe92a817c5efe7ab | [
"Apache-2.0"
] | null | null | null | ''' network architecture for EDVR '''
import functools
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import models.archs.arch_util as arch_util
from models.archs.dcn.deform_conv import ModulatedDeformConvPack as DCN
class Predeblur_ResNet_Pyramid(nn.Module):
def __init__(self, nf=128, HR_in=False):
'''
HR_in: True if the inputs are high spatial size
'''
super(Predeblur_ResNet_Pyramid, self).__init__()
self.HR_in = True if HR_in else False
if self.HR_in:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
basic_block = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
self.RB_L1_1 = basic_block()
self.RB_L1_2 = basic_block()
self.RB_L1_3 = basic_block()
self.RB_L1_4 = basic_block()
self.RB_L1_5 = basic_block()
self.RB_L2_1 = basic_block()
self.RB_L2_2 = basic_block()
self.RB_L3_1 = basic_block()
self.deblur_L2_conv = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.deblur_L3_conv = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x):
if self.HR_in:
L1_fea = self.lrelu(self.conv_first_1(x))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
else:
L1_fea = self.lrelu(self.conv_first(x))
L2_fea = self.lrelu(self.deblur_L2_conv(L1_fea))
L3_fea = self.lrelu(self.deblur_L3_conv(L2_fea))
L3_fea = F.interpolate(self.RB_L3_1(L3_fea), scale_factor=2, mode='bilinear',
align_corners=False)
L2_fea = self.RB_L2_1(L2_fea) + L3_fea
L2_fea = F.interpolate(self.RB_L2_2(L2_fea), scale_factor=2, mode='bilinear',
align_corners=False)
L1_fea = self.RB_L1_2(self.RB_L1_1(L1_fea)) + L2_fea
out = self.RB_L1_5(self.RB_L1_4(self.RB_L1_3(L1_fea)))
return out
class PCD_Align(nn.Module):
''' Alignment module using Pyramid, Cascading and Deformable convolution
with 3 pyramid levels.
'''
def __init__(self, nf=64, groups=8):
super(PCD_Align, self).__init__()
# L3: level 3, 1/4 spatial size
self.L3_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L3_offset_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L3_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True)
# L2: level 2, 1/2 spatial size
self.L2_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L2_offset_conv2 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for offset
self.L2_offset_conv3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L2_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True)
self.L2_fea_conv = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for fea
# L1: level 1, original spatial size
self.L1_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L1_offset_conv2 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for offset
self.L1_offset_conv3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L1_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True)
self.L1_fea_conv = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for fea
# Cascading DCN
self.cas_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.cas_offset_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.cas_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True)
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, nbr_fea_l, ref_fea_l):
'''align other neighboring frames to the reference frame in the feature level
nbr_fea_l, ref_fea_l: [L1, L2, L3], each with [B,C,H,W] features
'''
# L3
L3_offset = torch.cat([nbr_fea_l[2], ref_fea_l[2]], dim=1)
L3_offset = self.lrelu(self.L3_offset_conv1(L3_offset))
L3_offset = self.lrelu(self.L3_offset_conv2(L3_offset))
L3_fea = self.lrelu(self.L3_dcnpack([nbr_fea_l[2], L3_offset]))
# L2
L2_offset = torch.cat([nbr_fea_l[1], ref_fea_l[1]], dim=1)
L2_offset = self.lrelu(self.L2_offset_conv1(L2_offset))
L3_offset = F.interpolate(L3_offset, scale_factor=2, mode='bilinear', align_corners=False)
L2_offset = self.lrelu(self.L2_offset_conv2(torch.cat([L2_offset, L3_offset * 2], dim=1)))
L2_offset = self.lrelu(self.L2_offset_conv3(L2_offset))
L2_fea = self.L2_dcnpack([nbr_fea_l[1], L2_offset])
L3_fea = F.interpolate(L3_fea, scale_factor=2, mode='bilinear', align_corners=False)
L2_fea = self.lrelu(self.L2_fea_conv(torch.cat([L2_fea, L3_fea], dim=1)))
# L1
L1_offset = torch.cat([nbr_fea_l[0], ref_fea_l[0]], dim=1)
L1_offset = self.lrelu(self.L1_offset_conv1(L1_offset))
L2_offset = F.interpolate(L2_offset, scale_factor=2, mode='bilinear', align_corners=False)
L1_offset = self.lrelu(self.L1_offset_conv2(torch.cat([L1_offset, L2_offset * 2], dim=1)))
L1_offset = self.lrelu(self.L1_offset_conv3(L1_offset))
L1_fea = self.L1_dcnpack([nbr_fea_l[0], L1_offset])
L2_fea = F.interpolate(L2_fea, scale_factor=2, mode='bilinear', align_corners=False)
L1_fea = self.L1_fea_conv(torch.cat([L1_fea, L2_fea], dim=1))
# Cascading
offset = torch.cat([L1_fea, ref_fea_l[0]], dim=1)
offset = self.lrelu(self.cas_offset_conv1(offset))
offset = self.lrelu(self.cas_offset_conv2(offset))
L1_fea = self.lrelu(self.cas_dcnpack([L1_fea, offset]))
return L1_fea
class PCD_Align_Valid(nn.Module):
''' Alignment module using Pyramid, Cascading and Deformable convolution
with 3 pyramid levels.
'''
def __init__(self, nf=64, groups=8):
super(PCD_Align_Valid, self).__init__()
# L3: level 3, 1/4 spatial size
self.L3_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L3_offset_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L3_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True, return_valid=True)
# L2: level 2, 1/2 spatial size
self.L2_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L2_offset_conv2 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for offset
self.L2_offset_conv3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L2_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True, return_valid=True)
self.L2_fea_conv = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for fea
# L1: level 1, original spatial size
self.L1_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.L1_offset_conv2 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for offset
self.L1_offset_conv3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.L1_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True, return_valid=True)
self.L1_fea_conv = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for fea
# Cascading DCN
self.cas_offset_conv1 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True) # concat for diff
self.cas_offset_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.cas_dcnpack = DCN(nf, nf, 3, stride=1, padding=1, dilation=1, deformable_groups=groups,
extra_offset_mask=True, return_valid=True)
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, nbr_fea_l, ref_fea_l):
'''align other neighboring frames to the reference frame in the feature level
nbr_fea_l, ref_fea_l: [L1, L2, L3], each with [B,C,H,W] features
'''
# L3
L3_offset = torch.cat([nbr_fea_l[2], ref_fea_l[2]], dim=1)
L3_offset = self.lrelu(self.L3_offset_conv1(L3_offset))
L3_offset = self.lrelu(self.L3_offset_conv2(L3_offset))
L3_offset, valid3 = self.L3_dcnpack([nbr_fea_l[2], L3_offset])
L3_fea = self.lrelu(L3_offset)
# L2
L2_offset = torch.cat([nbr_fea_l[1], ref_fea_l[1]], dim=1)
L2_offset = self.lrelu(self.L2_offset_conv1(L2_offset))
L3_offset = F.interpolate(L3_offset, scale_factor=2, mode='bilinear', align_corners=False)
L2_offset = self.lrelu(self.L2_offset_conv2(torch.cat([L2_offset, L3_offset * 2], dim=1)))
L2_offset = self.lrelu(self.L2_offset_conv3(L2_offset))
L2_fea, valid2 = self.L2_dcnpack([nbr_fea_l[1], L2_offset])
L3_fea = F.interpolate(L3_fea, scale_factor=2, mode='bilinear', align_corners=False)
L2_fea = self.lrelu(self.L2_fea_conv(torch.cat([L2_fea, L3_fea], dim=1)))
# L1
L1_offset = torch.cat([nbr_fea_l[0], ref_fea_l[0]], dim=1)
L1_offset = self.lrelu(self.L1_offset_conv1(L1_offset))
L2_offset = F.interpolate(L2_offset, scale_factor=2, mode='bilinear', align_corners=False)
L1_offset = self.lrelu(self.L1_offset_conv2(torch.cat([L1_offset, L2_offset * 2], dim=1)))
L1_offset = self.lrelu(self.L1_offset_conv3(L1_offset))
L1_fea, valid1 = self.L1_dcnpack([nbr_fea_l[0], L1_offset])
L2_fea = F.interpolate(L2_fea, scale_factor=2, mode='bilinear', align_corners=False)
L1_fea = self.L1_fea_conv(torch.cat([L1_fea, L2_fea], dim=1))
# Cascading
offset = torch.cat([L1_fea, ref_fea_l[0]], dim=1)
offset = self.lrelu(self.cas_offset_conv1(offset))
offset = self.lrelu(self.cas_offset_conv2(offset))
L1_fea, valid0 = self.cas_dcnpack([L1_fea, offset])
L1_fea = self.lrelu(L1_fea)
valid = valid3 & valid2 & valid1 & valid0
return L1_fea, valid
class TSA_Fusion(nn.Module):
''' Temporal Spatial Attention fusion module
Temporal: correlation;
Spatial: 3 pyramid levels.
'''
def __init__(self, nf=64, nframes=5, center=2):
super(TSA_Fusion, self).__init__()
self.center = center
# temporal attention (before fusion conv)
self.tAtt_1 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.tAtt_2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
# fusion conv: using 1x1 to save parameters and computation
self.fea_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
# spatial attention (after fusion conv)
self.sAtt_1 = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
self.maxpool = nn.MaxPool2d(3, stride=2, padding=1)
self.avgpool = nn.AvgPool2d(3, stride=2, padding=1)
self.sAtt_2 = nn.Conv2d(nf * 2, nf, 1, 1, bias=True)
self.sAtt_3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.sAtt_4 = nn.Conv2d(nf, nf, 1, 1, bias=True)
self.sAtt_5 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.sAtt_L1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
self.sAtt_L2 = nn.Conv2d(nf * 2, nf, 3, 1, 1, bias=True)
self.sAtt_L3 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.sAtt_add_1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
self.sAtt_add_2 = nn.Conv2d(nf, nf, 1, 1, bias=True)
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, aligned_fea):
B, N, C, H, W = aligned_fea.size() # N video frames
#### temporal attention
emb_ref = self.tAtt_2(aligned_fea[:, self.center, :, :, :].clone())
emb = self.tAtt_1(aligned_fea.view(-1, C, H, W)).view(B, N, -1, H, W) # [B, N, C(nf), H, W]
cor_l = []
for i in range(N):
emb_nbr = emb[:, i, :, :, :]
cor_tmp = torch.sum(emb_nbr * emb_ref, 1).unsqueeze(1) # B, 1, H, W
cor_l.append(cor_tmp)
cor_prob = torch.sigmoid(torch.cat(cor_l, dim=1)) # B, N, H, W
cor_prob = cor_prob.unsqueeze(2).repeat(1, 1, C, 1, 1).view(B, -1, H, W)
aligned_fea = aligned_fea.view(B, -1, H, W) * cor_prob
#### fusion
fea = self.lrelu(self.fea_fusion(aligned_fea))
#### spatial attention
att = self.lrelu(self.sAtt_1(aligned_fea))
att_max = self.maxpool(att)
att_avg = self.avgpool(att)
att = self.lrelu(self.sAtt_2(torch.cat([att_max, att_avg], dim=1)))
# pyramid levels
att_L = self.lrelu(self.sAtt_L1(att))
att_max = self.maxpool(att_L)
att_avg = self.avgpool(att_L)
att_L = self.lrelu(self.sAtt_L2(torch.cat([att_max, att_avg], dim=1)))
att_L = self.lrelu(self.sAtt_L3(att_L))
att_L = F.interpolate(att_L, scale_factor=2, mode='bilinear', align_corners=False)
att = self.lrelu(self.sAtt_3(att))
att = att + att_L
att = self.lrelu(self.sAtt_4(att))
att = F.interpolate(att, scale_factor=2, mode='bilinear', align_corners=False)
att = self.sAtt_5(att)
att_add = self.sAtt_add_2(self.lrelu(self.sAtt_add_1(att)))
att = torch.sigmoid(att)
fea = fea * att * 2 + att_add
return fea
class EDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10, center=None,
predeblur=False, HR_in=False, w_TSA=True):
super(EDVR, self).__init__()
self.nf = nf
self.center = nframes // 2 if center is None else center
self.is_predeblur = True if predeblur else False
self.HR_in = True if HR_in else False
self.w_TSA = w_TSA
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.is_predeblur:
self.pre_deblur = Predeblur_ResNet_Pyramid(nf=nf, HR_in=self.HR_in)
self.conv_1x1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
else:
if self.HR_in:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x):
B, N, C, H, W = x.size() # N video frames
x_center = x[:, self.center, :, :, :].contiguous()
#### extract LR features
# L1
if self.is_predeblur:
L1_fea = self.pre_deblur(x.view(-1, C, H, W))
L1_fea = self.conv_1x1(L1_fea)
if self.HR_in:
H, W = H // 4, W // 4
else:
if self.HR_in:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W))) # BN,64,64,64
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [
L1_fea[:, self.center, :, :, :].clone(),
L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()
]
aligned_fea = []
for i in range(N):
nbr_fea_l = [
L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()
]
aligned_fea.append(self.pcd_align(nbr_fea_l, ref_fea_l))
aligned_fea = torch.stack(aligned_fea, dim=1) # [B, N, C, H, W]
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W)
fea = self.tsa_fusion(aligned_fea)
out = self.recon_trunk(fea) # B,C,64,64
out = self.lrelu(self.pixel_shuffle(self.upconv1(out))) # B,C,128,128
out = self.lrelu(self.pixel_shuffle(self.upconv2(out))) # B,C,256,256
out = self.lrelu(self.HRconv(out)) # B,C,256,256
out = self.conv_last(out) # B,3,256,256
if self.HR_in:
base = x_center
else:
base = F.interpolate(x_center, scale_factor=4, mode='bilinear',
align_corners=False) # B,3,256,256
out += base
return out
class EDVR2X(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10, center=None,
predeblur=False, HR_in=False, w_TSA=True):
super(EDVR2X, self).__init__()
self.nf = nf
self.center = nframes // 2 if center is None else center
self.is_predeblur = True if predeblur else False
self.HR_in = True if HR_in else False
self.w_TSA = w_TSA
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.is_predeblur:
self.pre_deblur = Predeblur_ResNet_Pyramid(nf=nf, HR_in=self.HR_in)
self.conv_1x1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
else:
if self.HR_in:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
self.upconv = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x):
B, N, C, H, W = x.size() # N video frames
x_center = x[:, self.center, :, :, :].contiguous()
#### extract LR features
# L1
if self.is_predeblur:
L1_fea = self.pre_deblur(x.view(-1, C, H, W))
L1_fea = self.conv_1x1(L1_fea)
if self.HR_in:
H, W = H // 4, W // 4
else:
if self.HR_in:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W))) # BN,64,64,64
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [
L1_fea[:, self.center, :, :, :].clone(),
L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()
]
aligned_fea = []
for i in range(N):
nbr_fea_l = [
L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()
]
aligned_fea.append(self.pcd_align(nbr_fea_l, ref_fea_l))
aligned_fea = torch.stack(aligned_fea, dim=1) # [B, N, C, H, W]
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W)
fea = self.tsa_fusion(aligned_fea)
out = self.recon_trunk(fea) # B,C,64,64
out = self.lrelu(self.pixel_shuffle(self.upconv(out))) # B,C,128,128
out = self.lrelu(self.HRconv(out)) # B,C,128,128
out = self.conv_last(out) # B,3,128,128
if self.HR_in:
base = x_center
else:
base = F.interpolate(x_center, scale_factor=2, mode='bilinear',
align_corners=False) # B,3,128,128
out += base
return out
class EDVRImage(nn.Module):
def __init__(self, nf=64, front_RBs=5, back_RBs=10, down_scale=True):
super(EDVRImage, self).__init__()
self.nf = nf
self.front_RBs = front_RBs
self.back_RBs = back_RBs
self.down_scale = down_scale
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.down_scale:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x, scale):
N, C, H, W = x.size()
if self.down_scale:
x = F.interpolate(x, scale_factor=scale, mode='bilinear', align_corners=False)
base = x
feat = self.lrelu(self.conv_first_1(x))
feat = self.lrelu(self.conv_first_2(feat))
feat = self.lrelu(self.conv_first_3(feat))
# H, W = H // 4, W // 4
else:
base = F.interpolate(x, scale_factor=scale, mode='bilinear', align_corners=False)
feat = self.lrelu(self.conv_first(x))
feat = self.feature_extraction(feat) # BN,64,64,64
out = self.recon_trunk(feat) # B,C,64,64
out = self.lrelu(self.pixel_shuffle(self.upconv1(out))) # B,C,128,128
out = self.lrelu(self.pixel_shuffle(self.upconv2(out))) # B,C,256,256
out = self.lrelu(self.HRconv(out)) # B,C,256,256
out = self.conv_last(out) # B,3,256,256
out += base
return out
class EDVR3D(nn.Module):
def __init__(self, nf=64, front_RBs=5, back_RBs=10, conv_type='normal',
down_scale=True):
super(EDVR3D, self).__init__()
self.nf = nf
self.front_RBs = front_RBs
self.back_RBs = back_RBs
self.conv_type = conv_type
self.down_scale = down_scale
ResidualBlock_3D = functools.partial(arch_util.ResidualBlock_3D,
planes=nf, conv_type=conv_type, padding_mode='const', has_bias=True)
#### extract features (for each frame)
if self.down_scale:
self.conv_first_1 = nn.Conv3d(3, nf, kernel_size=(3, 3, 3),
stride=(1, 1, 1), padding=(1, 1, 1), bias=True)
self.conv_first_2 = nn.Conv3d(nf, nf, kernel_size=(3, 3, 3),
stride=(1, 2, 2), padding=(1, 1, 1), bias=True)
self.conv_first_3 = nn.Conv3d(nf, nf, kernel_size=(3, 3, 3),
stride=(1, 2, 2), padding=(1, 1, 1), bias=True)
else:
self.conv_first = nn.Conv3d(3, nf, kernel_size=(3, 3, 3),
stride=(1, 1, 1), padding=(1, 1, 1), bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_3D, front_RBs)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_3D, back_RBs)
#### upsampling
self.upconv1 = nn.ConvTranspose3d(nf, nf, kernel_size=(3, 3, 3),
stride=(1, 2, 2), padding=(1, 1, 1), output_padding=(0, 1, 1), bias=True)
self.upconv2 = nn.ConvTranspose3d(nf, 64, kernel_size=(3, 3, 3),
stride=(1, 2, 2), padding=(1, 1, 1), output_padding=(0, 1, 1), bias=True)
self.HRconv = nn.Conv3d(64, 64, kernel_size=(3, 3, 3),
stride=(1, 1, 1), padding=(1, 1, 1), bias=True)
self.conv_last = nn.Conv3d(64, 3, kernel_size=(3, 3, 3),
stride=(1, 1, 1), padding=(1, 1, 1), bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x, scale):
N, C, T, H, W = x.size()
x = x.view(N, C*T, H, W)
x = F.interpolate(x, scale_factor=scale, mode='bilinear',
align_corners=False)
H, W = x.shape[-2:]
x = x.view(N, C, T, H, W)
base = x.detach()
if self.down_scale:
feat = self.lrelu(self.conv_first_1(x))
feat = self.lrelu(self.conv_first_2(feat))
feat = self.lrelu(self.conv_first_3(feat))
# H, W = H // 4, W // 4
else:
feat = self.lrelu(self.conv_first(x))
feat = self.feature_extraction(feat)
out = self.recon_trunk(feat)
out = self.lrelu(self.upconv1(out))
out = self.lrelu(self.upconv2(out))
out = self.lrelu(self.HRconv(out))
out = self.conv_last(out)
out += base
return out
class UPEDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10,
center=None, w_TSA=True, down_scale=False, align_target=True, ret_valid=False):
super(UPEDVR, self).__init__()
self.nf = nf
self.nframes = nframes
self.center = nframes // 2 if center is None else center
self.w_TSA = w_TSA
self.down_scale = down_scale
self.align_target = align_target
self.ret_valid = ret_valid
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.down_scale:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
if self.ret_valid:
self.pcd_align = PCD_Align_Valid(nf=nf, groups=groups)
else:
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
if self.align_target:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes - 1, center=self.center)
else:
if self.align_target:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
else:
self.tsa_fusion = nn.Conv2d((nframes - 1) * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x, scale):
B, N, C, H, W = x.shape
x = x.view(-1, C, H, W)
x = F.interpolate(x, scale_factor=scale, mode='bilinear',
align_corners=False)
H, W = x.shape[-2:]
x = x.view(B, N, C, H, W)
x_center = x[:, self.center, :, :, :].contiguous()
# L1
if self.down_scale:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W))) # BN,64,64,64
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [L1_fea[:, self.center, :, :, :].clone(),
L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()]
# [(B,64,64,64), (B,64,32,32), (B,64,16,16)]
if self.ret_valid:
aligned_fea, valids = [], []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat, valid = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
valids.append(valid)
else:
aligned_fea = []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
aligned_fea = torch.stack(aligned_fea, dim=1) # [B, N-1, C, H, W]
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W) # B,NC,64,64
fea = self.tsa_fusion(aligned_fea) # B,C,64,64
out = self.recon_trunk(fea) # B,C,64,64
out = self.lrelu(self.pixel_shuffle(self.upconv1(out))) # B,C,128,128
out = self.lrelu(self.pixel_shuffle(self.upconv2(out))) # B,C,256,256
out = self.lrelu(self.HRconv(out)) # B,C,256,256
out = self.conv_last(out) # B,3,256,256
out += x_center
if not self.training: return out
if self.ret_valid:
return out, valid
else:
return out
class Scale2Weight(nn.Module):
def __init__(self, kernel_size=3, inC=64, outC=64, dims=[8]):
super(Scale2Weight,self).__init__()
self.kernel_size=kernel_size
self.inC = inC
self.outC = outC
self.dims = dims
fcs = []
in_dim = 1
for dim in self.dims:
fcs.append(nn.Linear(in_dim, dim))
fcs.append(nn.ReLU(inplace=True))
in_dim = dim
fcs.append(nn.Linear(in_dim, self.kernel_size*self.kernel_size*self.inC*self.outC))
self.scale_block=nn.Sequential(*fcs)
def forward(self, input, scale):
scale = input.new([scale])
weight = self.scale_block(scale)
weight = weight.view(self.outC, self.inC, self.kernel_size, self.kernel_size)
output = F.conv2d(input, weight, padding=1)
return output
class UPControlEDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10,
center=None, w_TSA=True, down_scale=True, align_target=True,
ret_valid=False, multi_scale_cont=False):
super(UPControlEDVR, self).__init__()
self.nf = nf
self.nframes = nframes
self.center = nframes // 2 if center is None else center
self.w_TSA = w_TSA
self.down_scale = down_scale
self.align_target = align_target
self.ret_valid = ret_valid
self.multi_scale_cont = multi_scale_cont
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.down_scale:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.control_conv = Scale2Weight(kernel_size=3, inC=nf, outC=nf)
if self.multi_scale_cont:
self.control_conv2 = Scale2Weight(kernel_size=3, inC=nf, outC=nf)
self.control_conv3 = Scale2Weight(kernel_size=3, inC=64, outC=64)
if self.ret_valid:
self.pcd_align = PCD_Align_Valid(nf=nf, groups=groups)
else:
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
if self.align_target:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
else:
self.tsa_fusion = nn.Conv2d((nframes - 1) * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
if self.down_scale:
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
if self.multi_scale_cont:
self.cont_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.cont_conv3 = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
else:
self.upconv1 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64, 3, 1, 1, bias=True)
# self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x, scale):
B, N, C, H, W = x.shape
x = x.view(-1, C, H, W)
x = F.interpolate(x, scale_factor=scale, mode='bilinear',
align_corners=False)
H, W = x.shape[-2:]
x = x.view(B, N, C, H, W)
x_center = x[:, self.center, :, :, :].contiguous()
# L1
if self.down_scale:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W)))
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [L1_fea[:, self.center, :, :, :].clone(),
L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()]
# [(B,64,64,64), (B,64,32,32), (B,64,16,16)]
if self.ret_valid:
aligned_fea, valids = [], []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat, valid = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
valids.append(valid)
else:
aligned_fea = []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
aligned_fea = torch.stack(aligned_fea, dim=1)
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W)
fea = self.tsa_fusion(aligned_fea)
out = self.control_conv(fea, scale)
out = self.recon_trunk(out)
if self.down_scale:
out = self.lrelu(self.pixel_shuffle(self.upconv1(out)))
if self.multi_scale_cont:
out = self.control_conv2(out, scale)
out = self.lrelu(self.cont_conv2(out))
out = self.lrelu(self.pixel_shuffle(self.upconv2(out)))
out = self.control_conv3(out, scale)
out = self.lrelu(self.cont_conv3(out))
else:
out = self.lrelu(self.pixel_shuffle(self.upconv2(out)))
else:
out = self.lrelu(self.upconv1(out))
out = self.lrelu(self.upconv2(out))
out = self.lrelu(self.HRconv(out))
out = self.conv_last(out)
out += x_center
if self.ret_valid:
return out, valid
else:
return out
class FlowUPControlEDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10,
center=None, w_TSA=True, down_scale=True, align_target=True,
ret_valid=False, multi_scale_cont=False):
super(FlowUPControlEDVR, self).__init__()
self.nf = nf
self.nframes = nframes
self.center = nframes // 2 if center is None else center
self.w_TSA = w_TSA
self.down_scale = down_scale
self.align_target = align_target
self.ret_valid = ret_valid
self.multi_scale_cont = multi_scale_cont
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.down_scale:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.control_conv = Scale2Weight(kernel_size=3, inC=nf, outC=nf)
if self.multi_scale_cont:
self.control_conv2 = Scale2Weight(kernel_size=3, inC=nf, outC=nf)
self.control_conv3 = Scale2Weight(kernel_size=3, inC=64, outC=64)
if self.ret_valid:
self.pcd_align = PCD_Align_Valid(nf=nf, groups=groups)
else:
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
if self.align_target:
self.tsa_fusion = nn.Conv2d((nframes + 1) * nf, nf, 1, 1, bias=True)
else:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
if self.down_scale:
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
if self.multi_scale_cont:
self.cont_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.cont_conv3 = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
else:
self.upconv1 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64, 3, 1, 1, bias=True)
# self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x, y, scale):
B, N, C, H, W = x.shape
x = x.view(-1, C, H, W)
x = F.interpolate(x, scale_factor=scale, mode='bilinear',
align_corners=False)
H, W = x.shape[-2:]
x = x.view(B, N, C, H, W)
x_center = x[:, self.center, :, :, :].contiguous()
# L1
if self.down_scale:
# LQs feature
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
# frame(t-1) feature
y1_fea = self.lrelu(self.conv_first_1(y))
y1_fea = self.lrelu(self.conv_first_2(y1_fea))
y1_fea = self.lrelu(self.conv_first_3(y1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W)))
y1_fea = self.lrelu(self.conv_first(y))
# L1
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
y_fea = self.feature_extraction(y1_fea) # B,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [L1_fea[:, self.center, :, :, :].clone(),
L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()]
# [(B,64,64,64), (B,64,32,32), (B,64,16,16)]
if self.ret_valid:
aligned_fea, valids = [], []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat, valid = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
valids.append(valid)
else:
aligned_fea = []
for i in range(N):
if not self.align_target and (i == self.center): continue
nbr_fea_l = [L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()]
feat = self.pcd_align(nbr_fea_l, ref_fea_l)
aligned_fea.append(feat)
aligned_fea.append(y_fea)
aligned_fea = torch.stack(aligned_fea, dim=1)
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W)
fea = self.tsa_fusion(aligned_fea)
out = self.control_conv(fea, scale)
out = self.recon_trunk(out)
if self.down_scale:
out = self.lrelu(self.pixel_shuffle(self.upconv1(out)))
if self.multi_scale_cont:
out = self.control_conv2(out, scale)
out = self.lrelu(self.cont_conv2(out))
out = self.lrelu(self.pixel_shuffle(self.upconv2(out)))
out = self.control_conv3(out, scale)
out = self.lrelu(self.cont_conv3(out))
else:
out = self.lrelu(self.pixel_shuffle(self.upconv2(out)))
else:
out = self.lrelu(self.upconv1(out))
out = self.lrelu(self.upconv2(out))
out = self.lrelu(self.HRconv(out))
out = self.conv_last(out)
out += x_center
if self.ret_valid:
return out, valid
else:
return out
class MultiEDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10, center=None,
predeblur=False, HR_in=False, w_TSA=True):
super(MultiEDVR, self).__init__()
self.nf = nf
self.nframes = nframes
self.center = nframes // 2 if center is None else center
self.is_predeblur = True if predeblur else False
self.HR_in = True if HR_in else False
self.w_TSA = w_TSA
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.is_predeblur:
self.pre_deblur = Predeblur_ResNet_Pyramid(nf=nf, HR_in=self.HR_in)
self.conv_1x1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
else:
if self.HR_in:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
#### upsampling
self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
self.pixel_shuffle = nn.PixelShuffle(2)
self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
self.conv_last = nn.Conv2d(64, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def forward(self, x):
B, N, C, H, W = x.size() # N video frames
x_center = x[:, self.center:N-self.center, :, :, :].contiguous() #B,K,C,H,W
#### extract LR features
# L1
if self.is_predeblur:
L1_fea = self.pre_deblur(x.view(-1, C, H, W))
L1_fea = self.conv_1x1(L1_fea)
if self.HR_in:
H, W = H // 4, W // 4
else:
if self.HR_in:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W))) # BN,64,64,64
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
aligned_feas = []
for i in range(self.center, N - self.center):
ref_fea_l = [
L1_fea[:, i, :, :, :].clone(),
L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()
] # [(B,64,64,64), (B,64,32,32), (B,64,16,16)] * (N-2*center)
aligned_fea = []
start = i - self.center
for j in range(start, start + self.nframes):
nbr_fea_l = [
L1_fea[:, j, :, :, :].clone(),
L2_fea[:, j, :, :, :].clone(),
L3_fea[:, j, :, :, :].clone()
]
aligned_fea.append(self.pcd_align(nbr_fea_l, ref_fea_l)) # N,(B,64,64,64)
aligned_fea = torch.stack(aligned_fea, dim=1) # [B, N, 64, 64, 64]
aligned_feas.append(aligned_fea)
aligned_feas = torch.stack(aligned_feas, dim=1)
if not self.w_TSA:
aligned_feas = aligned_feas.view(B*aligned_feas.shape[1], -1, H, W) # BK,N64,64,64
fea = self.tsa_fusion(aligned_feas) # BK,64,64,64
out = self.recon_trunk(fea) # BK,64,64,64
out = self.lrelu(self.pixel_shuffle(self.upconv1(out))) # BK,64,128,128
out = self.lrelu(self.pixel_shuffle(self.upconv2(out))) # BK,64,256,256
out = self.lrelu(self.HRconv(out)) # BK,64,256,256
out = self.conv_last(out) # BK,3,256,256
out_c, out_h, out_w = out.shape[1:]
out = out.view(B, -1, out_c, out_h, out_w)
if self.HR_in:
base = x_center
else:
x_center = x_center.view(-1, C, H, W)
base = F.interpolate(x_center, scale_factor=4, mode='bilinear',
align_corners=False) # B,3,256,256
base = base.view(B, -1, C, out_h, out_w)
out += base
return out
# Meta
class Pos2Weight(nn.Module):
def __init__(self,inC, kernel_size=3, outC=3):
super(Pos2Weight,self).__init__()
self.inC = inC
self.kernel_size=kernel_size
self.outC = outC
self.meta_block=nn.Sequential(
nn.Linear(3,256),
nn.ReLU(inplace=True),
nn.Linear(256,self.kernel_size*self.kernel_size*self.inC*self.outC)
)
def forward(self,x):
output = self.meta_block(x)
return output
class MetaEDVR(nn.Module):
def __init__(self, nf=64, nframes=5, groups=8, front_RBs=5, back_RBs=10, center=None,
predeblur=False, HR_in=False, w_TSA=True, has_final_conv=False,
fix_edvr=False):
"""
EDVR based arbitrary scale SR.
"""
super(MetaEDVR, self).__init__()
self.nf = nf
self.center = nframes // 2 if center is None else center
self.is_predeblur = True if predeblur else False
self.HR_in = True if HR_in else False
self.w_TSA = w_TSA
self.has_final_conv = has_final_conv
self.fix_edvr = fix_edvr
ResidualBlock_noBN_f = functools.partial(arch_util.ResidualBlock_noBN, nf=nf)
#### extract features (for each frame)
if self.is_predeblur:
self.pre_deblur = Predeblur_ResNet_Pyramid(nf=nf, HR_in=self.HR_in)
self.conv_1x1 = nn.Conv2d(nf, nf, 1, 1, bias=True)
else:
if self.HR_in:
self.conv_first_1 = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.conv_first_2 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.conv_first_3 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
else:
self.conv_first = nn.Conv2d(3, nf, 3, 1, 1, bias=True)
self.feature_extraction = arch_util.make_layer(ResidualBlock_noBN_f, front_RBs)
self.fea_L2_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L2_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.fea_L3_conv1 = nn.Conv2d(nf, nf, 3, 2, 1, bias=True)
self.fea_L3_conv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
self.pcd_align = PCD_Align(nf=nf, groups=groups)
if self.w_TSA:
self.tsa_fusion = TSA_Fusion(nf=nf, nframes=nframes, center=self.center)
else:
self.tsa_fusion = nn.Conv2d(nframes * nf, nf, 1, 1, bias=True)
#### reconstruction
self.recon_trunk = arch_util.make_layer(ResidualBlock_noBN_f, back_RBs)
## position to weight
self.P2W = Pos2Weight(inC=nf)
# #### upsampling
# self.upconv1 = nn.Conv2d(nf, nf * 4, 3, 1, 1, bias=True)
# self.upconv2 = nn.Conv2d(nf, 64 * 4, 3, 1, 1, bias=True)
# self.pixel_shuffle = nn.PixelShuffle(2)
# self.HRconv = nn.Conv2d(64, 64, 3, 1, 1, bias=True)
if self.has_final_conv:
self.conv_final = nn.Conv2d(3, 3, 3, 1, 1, bias=True)
#### activation function
self.lrelu = nn.LeakyReLU(negative_slope=0.1, inplace=True)
def train(self, mode=True):
nn.Module.train(self, mode)
if mode:
if self.fix_edvr:
for k, v in self.named_parameters():
if not ('P2W' in k or 'conv_final' in k):
v.requires_grad = False
def meta_upsample(self, x, pos_mat, scale):
scale_int = math.ceil(scale)
N,C,H,W = x.size()
up_x = x.view(N,C,H,1,W,1)
up_x = torch.cat([up_x]*scale_int,3)
up_x = torch.cat([up_x]*scale_int,5).permute(0,3,5,1,2,4)
up_x = up_x.contiguous().view(-1, C, H, W)
local_weight = self.P2W(pos_mat.view(pos_mat.size(1),-1))
cols = F.unfold(up_x, 3, padding=1) # cols: N*r*r,64*9,H*W
if not self.training: torch.cuda.empty_cache()
cols = cols.view(cols.size(0)//(scale_int**2), scale_int**2, cols.size(1),
cols.size(2), 1).permute(0, 1, 3, 4, 2).contiguous() # cols: N, r*r, H*W, 1, 64*9
if not self.training: torch.cuda.empty_cache()
local_weight = local_weight.view(x.size(2), scale_int, x.size(3), scale_int,
-1, 3).permute(1,3,0,2,4,5).contiguous() # local_weight: r,r,H,W,64*9,3
if not self.training: torch.cuda.empty_cache()
local_weight = local_weight.view(scale_int**2, x.size(2) * x.size(3), -1, 3).contiguous() # r*r,H*W,64*9,3
if not self.training: torch.cuda.empty_cache()
out = torch.matmul(cols, local_weight).permute(0, 1, 4, 2, 3) # N,r*r,H*W,1,3 => N,r*r,3,H*W,1
out = out.contiguous().view(x.size(0),scale_int,scale_int, 3, x.size(2),
x.size(3)).permute(0, 3, 4, 1, 5, 2) # N,r,r,3,50,50 => N,3,H,r,W,r
out = out.contiguous().view(x.size(0), 3, scale_int*x.size(2), scale_int*x.size(3)) # N,3,H*r,W*r
return out
def forward(self, x, scale, pos_mat, mask):
B, N, C, H, W = x.size() # N video frames
x_center = x[:, self.center, :, :, :].contiguous()
#### extract LR features
# L1
if self.is_predeblur:
L1_fea = self.pre_deblur(x.view(-1, C, H, W))
L1_fea = self.conv_1x1(L1_fea)
if self.HR_in:
H, W = H // 4, W // 4
else:
if self.HR_in:
L1_fea = self.lrelu(self.conv_first_1(x.view(-1, C, H, W)))
L1_fea = self.lrelu(self.conv_first_2(L1_fea))
L1_fea = self.lrelu(self.conv_first_3(L1_fea))
H, W = H // 4, W // 4
else:
L1_fea = self.lrelu(self.conv_first(x.view(-1, C, H, W))) # BN,64,64,64
L1_fea = self.feature_extraction(L1_fea) # BN,64,64,64
# L2
L2_fea = self.lrelu(self.fea_L2_conv1(L1_fea)) # BN,64,32,32
L2_fea = self.lrelu(self.fea_L2_conv2(L2_fea)) # BN,64,32,32
# L3
L3_fea = self.lrelu(self.fea_L3_conv1(L2_fea)) # BN,64,16,16
L3_fea = self.lrelu(self.fea_L3_conv2(L3_fea)) # BN,64,16,16
L1_fea = L1_fea.view(B, N, -1, H, W) # B,N,64,64,64
L2_fea = L2_fea.view(B, N, -1, H // 2, W // 2) # B,N,64,32,32
L3_fea = L3_fea.view(B, N, -1, H // 4, W // 4) # B,N,64,16,16
#### pcd align
# ref feature list
ref_fea_l = [
L1_fea[:, self.center, :, :, :].clone(), L2_fea[:, self.center, :, :, :].clone(),
L3_fea[:, self.center, :, :, :].clone()
] # [(B,64,64,64), (B,64,32,32), (B,64,16,16)]
aligned_fea = []
for i in range(N):
nbr_fea_l = [
L1_fea[:, i, :, :, :].clone(), L2_fea[:, i, :, :, :].clone(),
L3_fea[:, i, :, :, :].clone()
]
aligned_fea.append(self.pcd_align(nbr_fea_l, ref_fea_l)) # N,(B,64,64,64)
aligned_fea = torch.stack(aligned_fea, dim=1) # [B, N, C, H, W]
if not self.w_TSA:
aligned_fea = aligned_fea.view(B, -1, H, W) # B,NC,64,64
fea = self.tsa_fusion(aligned_fea) # B,C,64,64
out = self.recon_trunk(fea) # B,C,64,64
out = self.meta_upsample(out, pos_mat, scale)
out = torch.masked_select(out, mask)
out = out.contiguous().view(B, C, int(H*scale), int(W*scale))
# out = self.lrelu(self.HRconv(out)) # B,C,256,256
if self.has_final_conv:
out = self.conv_final(out) # B,3,256,256
if self.HR_in:
base = x_center
else:
base = F.interpolate(x_center, scale_factor=scale, mode='bilinear',
align_corners=False) # B,3,256,256
out += base
return out
| 45.915503 | 114 | 0.562305 | 9,624 | 62,491 | 3.454801 | 0.030133 | 0.0397 | 0.044392 | 0.039099 | 0.893019 | 0.870553 | 0.853469 | 0.841048 | 0.828145 | 0.819183 | 0 | 0.064485 | 0.295739 | 62,491 | 1,360 | 115 | 45.949265 | 0.691002 | 0.075275 | 0 | 0.779614 | 0 | 0 | 0.003494 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029385 | false | 0 | 0.006428 | 0 | 0.067034 | 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 |
4de281fd78a382b8535a60cbcccd46c4a6e189a2 | 12,878 | py | Python | src/ebay_rest/api/sell_account/api/program_api.py | craiga/ebay_rest | a0be2677c65a787e9566df848ffa3ad0c309a9d9 | [
"MIT"
] | null | null | null | src/ebay_rest/api/sell_account/api/program_api.py | craiga/ebay_rest | a0be2677c65a787e9566df848ffa3ad0c309a9d9 | [
"MIT"
] | null | null | null | src/ebay_rest/api/sell_account/api/program_api.py | craiga/ebay_rest | a0be2677c65a787e9566df848ffa3ad0c309a9d9 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Account API
The <b>Account API</b> gives sellers the ability to configure their eBay seller accounts, including the seller's policies (the Fulfillment Policy, Payment Policy, and Return Policy), opt in and out of eBay seller programs, configure sales tax tables, and get account information. <br><br>For details on the availability of the methods in this API, see <a href=\"/api-docs/sell/account/overview.html#requirements\">Account API requirements and restrictions</a>. # noqa: E501
OpenAPI spec version: v1.6.3
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 ...sell_account.api_client import ApiClient
class ProgramApi(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_opted_in_programs(self, **kwargs): # noqa: E501
"""get_opted_in_programs # noqa: E501
This method gets a list of the seller programs that the seller has opted-in to. # 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_opted_in_programs(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: Programs
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_opted_in_programs_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_opted_in_programs_with_http_info(**kwargs) # noqa: E501
return data
def get_opted_in_programs_with_http_info(self, **kwargs): # noqa: E501
"""get_opted_in_programs # noqa: E501
This method gets a list of the seller programs that the seller has opted-in to. # 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_opted_in_programs_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: Programs
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_opted_in_programs" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['api_auth'] # noqa: E501
return self.api_client.call_api(
'/program/get_opted_in_programs', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Programs', # 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 opt_in_to_program(self, body, **kwargs): # noqa: E501
"""opt_in_to_program # noqa: E501
This method opts the seller in to an eBay seller program. Refer to the Account API overview for information about available eBay seller programs. Note: It can take up to 24-hours for eBay to process your request to opt-in to a Seller Program. Use the getOptedInPrograms call to check the status of your request after the processing period has passed. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.opt_in_to_program(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Program body: Program being opted-in to. (required)
:return: object
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.opt_in_to_program_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.opt_in_to_program_with_http_info(body, **kwargs) # noqa: E501
return data
def opt_in_to_program_with_http_info(self, body, **kwargs): # noqa: E501
"""opt_in_to_program # noqa: E501
This method opts the seller in to an eBay seller program. Refer to the Account API overview for information about available eBay seller programs. Note: It can take up to 24-hours for eBay to process your request to opt-in to a Seller Program. Use the getOptedInPrograms call to check the status of your request after the processing period has passed. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.opt_in_to_program_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Program body: Program being opted-in to. (required)
:return: object
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # 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 opt_in_to_program" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `opt_in_to_program`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # 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 = ['api_auth'] # noqa: E501
return self.api_client.call_api(
'/program/opt_in', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='object', # 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 opt_out_of_program(self, body, **kwargs): # noqa: E501
"""opt_out_of_program # noqa: E501
This method opts the seller out of a seller program to which you have previously opted-in to. Get a list of the seller programs you have opted-in to using the getOptedInPrograms call. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.opt_out_of_program(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Program body: Program being opted-out of. (required)
:return: object
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.opt_out_of_program_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.opt_out_of_program_with_http_info(body, **kwargs) # noqa: E501
return data
def opt_out_of_program_with_http_info(self, body, **kwargs): # noqa: E501
"""opt_out_of_program # noqa: E501
This method opts the seller out of a seller program to which you have previously opted-in to. Get a list of the seller programs you have opted-in to using the getOptedInPrograms call. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.opt_out_of_program_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Program body: Program being opted-out of. (required)
:return: object
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # 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 opt_out_of_program" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `opt_out_of_program`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # 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 = ['api_auth'] # noqa: E501
return self.api_client.call_api(
'/program/opt_out', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='object', # 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)
| 40.369906 | 479 | 0.625718 | 1,605 | 12,878 | 4.786916 | 0.127103 | 0.044774 | 0.021866 | 0.028114 | 0.894572 | 0.890668 | 0.886763 | 0.864506 | 0.864506 | 0.864506 | 0 | 0.015529 | 0.289952 | 12,878 | 318 | 480 | 40.496855 | 0.824694 | 0.403945 | 0 | 0.792683 | 0 | 0 | 0.160841 | 0.035379 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042683 | false | 0 | 0.02439 | 0 | 0.128049 | 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 |
12b38f73f523d113fccf7e5ee5509e70be4b91c5 | 59,559 | py | Python | msldap/protocol/ldap_filter/parser.py | blshkv/msldap | 435601df85faa407793555ed0da582aa709e3be1 | [
"MIT"
] | 18 | 2018-03-03T20:17:19.000Z | 2022-02-02T17:02:41.000Z | msldap/protocol/ldap_filter/parser.py | blshkv/msldap | 435601df85faa407793555ed0da582aa709e3be1 | [
"MIT"
] | 2 | 2018-03-05T00:28:29.000Z | 2020-05-02T20:26:24.000Z | msldap/protocol/ldap_filter/parser.py | blshkv/msldap | 435601df85faa407793555ed0da582aa709e3be1 | [
"MIT"
] | 3 | 2020-03-10T22:49:07.000Z | 2022-02-02T17:18:27.000Z | # -*- coding: utf-8 -*-
"""LDAP Parser
This parser is generated by the canopy
library (`canopy.jcoglan.com <http://canopy.jcoglan.com/>`__).
"""
from collections import defaultdict
import re
class TreeNode(object):
def __init__(self, text, offset, elements=None):
self.text = text
self.offset = offset
self.elements = elements or []
def __iter__(self):
for el in self.elements:
yield el
class TreeNode1(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode1, self).__init__(text, offset, elements)
self.filt = elements[2]
self.filtercomp = elements[2]
class TreeNode2(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode2, self).__init__(text, offset, elements)
self.filt = elements[1]
self.item = elements[1]
class TreeNode3(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode3, self).__init__(text, offset, elements)
self.filters = elements[2]
self.filterlist = elements[2]
class TreeNode4(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode4, self).__init__(text, offset, elements)
self.filters = elements[2]
self.filterlist = elements[2]
class TreeNode5(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode5, self).__init__(text, offset, elements)
self.filt = elements[2]
self.filter = elements[2]
class TreeNode6(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode6, self).__init__(text, offset, elements)
self.attr = elements[0]
self.filtertype = elements[1]
self.value = elements[2]
class TreeNode7(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode7, self).__init__(text, offset, elements)
self.attr = elements[0]
self.equal = elements[1]
self.wildcard_value = elements[2]
class TreeNode8(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode8, self).__init__(text, offset, elements)
self.any = elements[1]
class TreeNode9(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode9, self).__init__(text, offset, elements)
self.value = elements[0]
class TreeNode10(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode10, self).__init__(text, offset, elements)
self.attr = elements[0]
self.AttributeType = elements[0]
self.opts = elements[1]
class TreeNode11(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode11, self).__init__(text, offset, elements)
self.options = elements[1]
class TreeNode12(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode12, self).__init__(text, offset, elements)
self.options = elements[1]
class TreeNode13(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode13, self).__init__(text, offset, elements)
self.ALPHA = elements[0]
class TreeNode14(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode14, self).__init__(text, offset, elements)
self.option = elements[0]
self.options = elements[2]
class TreeNode15(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode15, self).__init__(text, offset, elements)
self.ASCII_VALUE = elements[1]
class TreeNode16(TreeNode):
def __init__(self, text, offset, elements):
super(TreeNode16, self).__init__(text, offset, elements)
self.HEX_CHAR = elements[1]
class ParseError(SyntaxError):
pass
FAILURE = object()
class Grammar(object):
_cache = None
_input = None
_input_size = None
_actions = None
REGEX_1 = re.compile('^[^!*\\x29]')
REGEX_2 = re.compile('^[a-fA-F0-9]')
REGEX_3 = re.compile('^[\\x20]')
REGEX_4 = re.compile('^[\\x09]')
REGEX_5 = re.compile('^[0-9]')
REGEX_6 = re.compile('^[a-zA-Z:.]')
def _read_root(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['root'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_filter()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_filter_item()
if address0 is FAILURE:
self._offset = index1
self._cache['root'][index0] = (address0, self._offset)
return address0
def _read_filter(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['filter'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
remaining0, index2, elements1, address2 = 0, self._offset, [], True
while address2 is not FAILURE:
address2 = self._read_FILL()
if address2 is not FAILURE:
elements1.append(address2)
remaining0 -= 1
if remaining0 <= 0:
address1 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address1 = FAILURE
if address1 is not FAILURE:
elements0.append(address1)
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '(':
address3 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address3 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'(\'')
if address3 is not FAILURE:
elements0.append(address3)
address4 = self._read_filtercomp()
if address4 is not FAILURE:
elements0.append(address4)
chunk1 = None
if self._offset < self._input_size:
chunk1 = self._input[self._offset:self._offset + 1]
if chunk1 == ')':
address5 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address5 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\')\'')
if address5 is not FAILURE:
elements0.append(address5)
remaining1, index3, elements2, address7 = 0, self._offset, [], True
while address7 is not FAILURE:
address7 = self._read_FILL()
if address7 is not FAILURE:
elements2.append(address7)
remaining1 -= 1
if remaining1 <= 0:
address6 = TreeNode(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
else:
address6 = FAILURE
if address6 is not FAILURE:
elements0.append(address6)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['filter'][index0] = (address0, self._offset)
return address0
def _read_filter_item(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['filter_item'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
remaining0, index2, elements1, address2 = 0, self._offset, [], True
while address2 is not FAILURE:
address2 = self._read_FILL()
if address2 is not FAILURE:
elements1.append(address2)
remaining0 -= 1
if remaining0 <= 0:
address1 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address1 = FAILURE
if address1 is not FAILURE:
elements0.append(address1)
address3 = self._read_item()
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['filter_item'][index0] = (address0, self._offset)
return address0
def _read_filtercomp(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['filtercomp'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_and()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_or()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_not()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_item()
if address0 is FAILURE:
self._offset = index1
self._cache['filtercomp'][index0] = (address0, self._offset)
return address0
def _read_and(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['and'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '&':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'&\'')
if address1 is not FAILURE:
elements0.append(address1)
remaining0, index2, elements1, address3 = 0, self._offset, [], True
while address3 is not FAILURE:
address3 = self._read_FILL()
if address3 is not FAILURE:
elements1.append(address3)
remaining0 -= 1
if remaining0 <= 0:
address2 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address2 = FAILURE
if address2 is not FAILURE:
elements0.append(address2)
address4 = self._read_filterlist()
if address4 is not FAILURE:
elements0.append(address4)
remaining1, index3, elements2, address6 = 0, self._offset, [], True
while address6 is not FAILURE:
address6 = self._read_FILL()
if address6 is not FAILURE:
elements2.append(address6)
remaining1 -= 1
if remaining1 <= 0:
address5 = TreeNode(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
else:
address5 = FAILURE
if address5 is not FAILURE:
elements0.append(address5)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_and_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['and'][index0] = (address0, self._offset)
return address0
def _read_or(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['or'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '|':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'|\'')
if address1 is not FAILURE:
elements0.append(address1)
remaining0, index2, elements1, address3 = 0, self._offset, [], True
while address3 is not FAILURE:
address3 = self._read_FILL()
if address3 is not FAILURE:
elements1.append(address3)
remaining0 -= 1
if remaining0 <= 0:
address2 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address2 = FAILURE
if address2 is not FAILURE:
elements0.append(address2)
address4 = self._read_filterlist()
if address4 is not FAILURE:
elements0.append(address4)
remaining1, index3, elements2, address6 = 0, self._offset, [], True
while address6 is not FAILURE:
address6 = self._read_FILL()
if address6 is not FAILURE:
elements2.append(address6)
remaining1 -= 1
if remaining1 <= 0:
address5 = TreeNode(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
else:
address5 = FAILURE
if address5 is not FAILURE:
elements0.append(address5)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_or_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['or'][index0] = (address0, self._offset)
return address0
def _read_not(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['not'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '!':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'!\'')
if address1 is not FAILURE:
elements0.append(address1)
remaining0, index2, elements1, address3 = 0, self._offset, [], True
while address3 is not FAILURE:
address3 = self._read_FILL()
if address3 is not FAILURE:
elements1.append(address3)
remaining0 -= 1
if remaining0 <= 0:
address2 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address2 = FAILURE
if address2 is not FAILURE:
elements0.append(address2)
address4 = self._read_filter()
if address4 is not FAILURE:
elements0.append(address4)
remaining1, index3, elements2, address6 = 0, self._offset, [], True
while address6 is not FAILURE:
address6 = self._read_FILL()
if address6 is not FAILURE:
elements2.append(address6)
remaining1 -= 1
if remaining1 <= 0:
address5 = TreeNode(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
else:
address5 = FAILURE
if address5 is not FAILURE:
elements0.append(address5)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_not_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['not'][index0] = (address0, self._offset)
return address0
def _read_filterlist(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['filterlist'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
remaining0, index1, elements0, address1 = 1, self._offset, [], True
while address1 is not FAILURE:
address1 = self._read_filter()
if address1 is not FAILURE:
elements0.append(address1)
remaining0 -= 1
if remaining0 <= 0:
address0 = TreeNode(self._input[index1:self._offset], index1, elements0)
self._offset = self._offset
else:
address0 = FAILURE
self._cache['filterlist'][index0] = (address0, self._offset)
return address0
def _read_item(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['item'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_wildcard()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_simple()
if address0 is FAILURE:
self._offset = index1
self._cache['item'][index0] = (address0, self._offset)
return address0
def _read_simple(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['simple'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
address1 = self._read_attr()
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_filtertype()
if address2 is not FAILURE:
elements0.append(address2)
address3 = self._read_value()
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_simple_filter(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['simple'][index0] = (address0, self._offset)
return address0
def _read_filtertype(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['filtertype'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_equal()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_approx()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_greater()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_less()
if address0 is FAILURE:
self._offset = index1
self._cache['filtertype'][index0] = (address0, self._offset)
return address0
def _read_equal(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['equal'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '=':
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'=\'')
self._cache['equal'][index0] = (address0, self._offset)
return address0
def _read_approx(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['approx'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 2]
if chunk0 == '~=':
address0 = TreeNode(self._input[self._offset:self._offset + 2], self._offset)
self._offset = self._offset + 2
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'~=\'')
self._cache['approx'][index0] = (address0, self._offset)
return address0
def _read_greater(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['greater'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 2]
if chunk0 == '>=':
address0 = TreeNode(self._input[self._offset:self._offset + 2], self._offset)
self._offset = self._offset + 2
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'>=\'')
self._cache['greater'][index0] = (address0, self._offset)
return address0
def _read_less(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['less'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 2]
if chunk0 == '<=':
address0 = TreeNode(self._input[self._offset:self._offset + 2], self._offset)
self._offset = self._offset + 2
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'<=\'')
self._cache['less'][index0] = (address0, self._offset)
return address0
def _read_wildcard(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['wildcard'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
address1 = self._read_attr()
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_equal()
if address2 is not FAILURE:
elements0.append(address2)
address3 = self._read_wildcard_value()
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_wildcard(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['wildcard'][index0] = (address0, self._offset)
return address0
def _read_wildcard_value(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['wildcard_value'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
index2 = self._offset
address1 = self._read_value()
if address1 is FAILURE:
address1 = TreeNode(self._input[index2:index2], index2)
self._offset = index2
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_any()
if address2 is not FAILURE:
elements0.append(address2)
index3 = self._offset
address3 = self._read_value()
if address3 is FAILURE:
address3 = TreeNode(self._input[index3:index3], index3)
self._offset = index3
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = TreeNode8(self._input[index1:self._offset], index1, elements0)
self._offset = self._offset
self._cache['wildcard_value'][index0] = (address0, self._offset)
return address0
def _read_any(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['any'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '*':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'*\'')
if address1 is not FAILURE:
elements0.append(address1)
remaining0, index2, elements1, address3 = 0, self._offset, [], True
while address3 is not FAILURE:
index3, elements2 = self._offset, []
address4 = self._read_value()
if address4 is not FAILURE:
elements2.append(address4)
chunk1 = None
if self._offset < self._input_size:
chunk1 = self._input[self._offset:self._offset + 1]
if chunk1 == '*':
address5 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address5 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'*\'')
if address5 is not FAILURE:
elements2.append(address5)
else:
elements2 = None
self._offset = index3
else:
elements2 = None
self._offset = index3
if elements2 is None:
address3 = FAILURE
else:
address3 = TreeNode9(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
if address3 is not FAILURE:
elements1.append(address3)
remaining0 -= 1
if remaining0 <= 0:
address2 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address2 = FAILURE
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_string(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['any'][index0] = (address0, self._offset)
return address0
def _read_attr(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['attr'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
address0 = self._read_AttributeDescription()
self._cache['attr'][index0] = (address0, self._offset)
return address0
def _read_value(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['value'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
remaining0, index1, elements0, address1 = 1, self._offset, [], True
while address1 is not FAILURE:
address1 = self._read_AttributeValue()
if address1 is not FAILURE:
elements0.append(address1)
remaining0 -= 1
if remaining0 <= 0:
address0 = self._actions.return_string(self._input, index1, self._offset, elements0)
self._offset = self._offset
else:
address0 = FAILURE
self._cache['value'][index0] = (address0, self._offset)
return address0
def _read_AttributeDescription(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttributeDescription'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
address1 = self._read_AttributeType()
if address1 is not FAILURE:
elements0.append(address1)
index2 = self._offset
index3, elements1 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == ';':
address3 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address3 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('";"')
if address3 is not FAILURE:
elements1.append(address3)
address4 = self._read_options()
if address4 is not FAILURE:
elements1.append(address4)
else:
elements1 = None
self._offset = index3
else:
elements1 = None
self._offset = index3
if elements1 is None:
address2 = FAILURE
else:
address2 = TreeNode11(self._input[index3:self._offset], index3, elements1)
self._offset = self._offset
if address2 is FAILURE:
address2 = TreeNode(self._input[index2:index2], index2)
self._offset = index2
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_options(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['AttributeDescription'][index0] = (address0, self._offset)
return address0
def _read_AttributeOptions(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttributeOptions'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == ';':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('";"')
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_options()
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = TreeNode12(self._input[index1:self._offset], index1, elements0)
self._offset = self._offset
self._cache['AttributeOptions'][index0] = (address0, self._offset)
return address0
def _read_AttributeType(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttributeType'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_LDAP_OID()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_AttrTypeName()
if address0 is FAILURE:
self._offset = index1
self._cache['AttributeType'][index0] = (address0, self._offset)
return address0
def _read_AttrTypeName(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttrTypeName'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
address1 = self._read_ALPHA()
if address1 is not FAILURE:
elements0.append(address1)
remaining0, index2, elements1, address3 = 0, self._offset, [], True
while address3 is not FAILURE:
address3 = self._read_AttrTypeChars()
if address3 is not FAILURE:
elements1.append(address3)
remaining0 -= 1
if remaining0 <= 0:
address2 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address2 = FAILURE
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_attr_type(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['AttrTypeName'][index0] = (address0, self._offset)
return address0
def _read_AttrTypeChars(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttrTypeChars'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_ALPHA()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_DIGIT()
if address0 is FAILURE:
self._offset = index1
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '-':
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('"-"')
if address0 is FAILURE:
self._offset = index1
self._cache['AttrTypeChars'][index0] = (address0, self._offset)
return address0
def _read_LDAP_OID(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['LDAP_OID'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
remaining0, index2, elements1, address2 = 1, self._offset, [], True
while address2 is not FAILURE:
address2 = self._read_DIGIT()
if address2 is not FAILURE:
elements1.append(address2)
remaining0 -= 1
if remaining0 <= 0:
address1 = TreeNode(self._input[index2:self._offset], index2, elements1)
self._offset = self._offset
else:
address1 = FAILURE
if address1 is not FAILURE:
elements0.append(address1)
remaining1, index3, elements2, address4 = 0, self._offset, [], True
while address4 is not FAILURE:
index4, elements3 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '.':
address5 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address5 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('"."')
if address5 is not FAILURE:
elements3.append(address5)
address6 = FAILURE
remaining2, index5, elements4, address7 = 1, self._offset, [], True
while address7 is not FAILURE:
address7 = self._read_DIGIT()
if address7 is not FAILURE:
elements4.append(address7)
remaining2 -= 1
if remaining2 <= 0:
address6 = TreeNode(self._input[index5:self._offset], index5, elements4)
self._offset = self._offset
else:
address6 = FAILURE
if address6 is not FAILURE:
elements3.append(address6)
else:
elements3 = None
self._offset = index4
else:
elements3 = None
self._offset = index4
if elements3 is None:
address4 = FAILURE
else:
address4 = TreeNode(self._input[index4:self._offset], index4, elements3)
self._offset = self._offset
if address4 is not FAILURE:
elements2.append(address4)
remaining1 -= 1
if remaining1 <= 0:
address3 = TreeNode(self._input[index3:self._offset], index3, elements2)
self._offset = self._offset
else:
address3 = FAILURE
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_oid_type(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['LDAP_OID'][index0] = (address0, self._offset)
return address0
def _read_options(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['options'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
index2, elements0 = self._offset, []
address1 = self._read_option()
if address1 is not FAILURE:
elements0.append(address1)
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == ';':
address2 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address2 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('";"')
if address2 is not FAILURE:
elements0.append(address2)
address3 = self._read_options()
if address3 is not FAILURE:
elements0.append(address3)
else:
elements0 = None
self._offset = index2
else:
elements0 = None
self._offset = index2
else:
elements0 = None
self._offset = index2
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_string(self._input, index2, self._offset, elements0)
self._offset = self._offset
if address0 is FAILURE:
self._offset = index1
address0 = self._read_option()
if address0 is FAILURE:
self._offset = index1
self._cache['options'][index0] = (address0, self._offset)
return address0
def _read_option(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['option'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
remaining0, index1, elements0, address1 = 1, self._offset, [], True
while address1 is not FAILURE:
address1 = self._read_AttrTypeChars()
if address1 is not FAILURE:
elements0.append(address1)
remaining0 -= 1
if remaining0 <= 0:
address0 = self._actions.return_string(self._input, index1, self._offset, elements0)
self._offset = self._offset
else:
address0 = FAILURE
self._cache['option'][index0] = (address0, self._offset)
return address0
def _read_AttributeValue(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['AttributeValue'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_EscapedCharacter()
if address0 is FAILURE:
self._offset = index1
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_1.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[^!*\\x29]')
if address0 is FAILURE:
self._offset = index1
self._cache['AttributeValue'][index0] = (address0, self._offset)
return address0
def _read_EscapedCharacter(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['EscapedCharacter'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 == '\\':
address1 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address1 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('\'\\\\\'')
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_ASCII_VALUE()
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_escaped_char(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['EscapedCharacter'][index0] = (address0, self._offset)
return address0
def _read_ASCII_VALUE(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['ASCII_VALUE'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1, elements0 = self._offset, []
address1 = self._read_HEX_CHAR()
if address1 is not FAILURE:
elements0.append(address1)
address2 = self._read_HEX_CHAR()
if address2 is not FAILURE:
elements0.append(address2)
else:
elements0 = None
self._offset = index1
else:
elements0 = None
self._offset = index1
if elements0 is None:
address0 = FAILURE
else:
address0 = self._actions.return_hex(self._input, index1, self._offset, elements0)
self._offset = self._offset
self._cache['ASCII_VALUE'][index0] = (address0, self._offset)
return address0
def _read_HEX_CHAR(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['HEX_CHAR'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_2.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[a-fA-F0-9]')
self._cache['HEX_CHAR'][index0] = (address0, self._offset)
return address0
def _read_FILL(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['FILL'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
address0 = self._read_SPACE()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_TAB()
if address0 is FAILURE:
self._offset = index1
address0 = self._read_SEP()
if address0 is FAILURE:
self._offset = index1
self._cache['FILL'][index0] = (address0, self._offset)
return address0
def _read_SPACE(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['SPACE'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_3.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[\\x20]')
self._cache['SPACE'][index0] = (address0, self._offset)
return address0
def _read_TAB(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['TAB'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_4.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[\\x09]')
self._cache['TAB'][index0] = (address0, self._offset)
return address0
def _read_DIGIT(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['DIGIT'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_5.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[0-9]')
self._cache['DIGIT'][index0] = (address0, self._offset)
return address0
def _read_ALPHA(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['ALPHA'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 1]
if chunk0 is not None and Grammar.REGEX_6.search(chunk0):
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('[a-zA-Z]')
self._cache['ALPHA'][index0] = (address0, self._offset)
return address0
def _read_SEP(self):
address0, index0 = FAILURE, self._offset
cached = self._cache['SEP'].get(index0)
if cached:
self._offset = cached[1]
return cached[0]
index1 = self._offset
chunk0 = None
if self._offset < self._input_size:
chunk0 = self._input[self._offset:self._offset + 2]
if chunk0 == '\r\n':
address0 = TreeNode(self._input[self._offset:self._offset + 2], self._offset)
self._offset = self._offset + 2
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('"\\r\\n"')
if address0 is FAILURE:
self._offset = index1
chunk1 = None
if self._offset < self._input_size:
chunk1 = self._input[self._offset:self._offset + 1]
if chunk1 == '\n':
address0 = TreeNode(self._input[self._offset:self._offset + 1], self._offset)
self._offset = self._offset + 1
else:
address0 = FAILURE
if self._offset > self._failure:
self._failure = self._offset
self._expected = []
if self._offset == self._failure:
self._expected.append('"\\n"')
if address0 is FAILURE:
self._offset = index1
self._cache['SEP'][index0] = (address0, self._offset)
return address0
class Parser(Grammar):
def __init__(self, inpt, actions, types):
self._input = inpt
self._input_size = len(inpt)
self._actions = actions
self._types = types
self._offset = 0
self._cache = defaultdict(dict)
self._failure = 0
self._expected = []
def parse(self):
tree = self._read_root()
if tree is not FAILURE and self._offset == self._input_size:
return tree
if not self._expected:
self._failure = self._offset
self._expected.append('<EOF>')
raise ParseError(format_error(self._input, self._failure, self._expected))
def format_error(inpt, offset, expected):
lines, line_no, position = inpt.split('\n'), 0, 0
while position <= offset:
position += len(lines[line_no]) + 1
line_no += 1
message, line = 'Line ' + str(line_no) + ': expected ' + ', '.join(expected) + '\n', lines[line_no - 1]
message += line + '\n'
position -= len(line) + 1
message += ' ' * (offset - position)
return message + '^'
def parse(inpt, actions=None, types=None):
parser = Parser(inpt, actions, types)
return parser.parse()
| 38.902025 | 107 | 0.533622 | 5,805 | 59,559 | 5.231352 | 0.030491 | 0.207455 | 0.116636 | 0.089568 | 0.883134 | 0.867031 | 0.847669 | 0.845298 | 0.769791 | 0.692143 | 0 | 0.039613 | 0.375661 | 59,559 | 1,530 | 108 | 38.927451 | 0.777061 | 0.0023 | 0 | 0.752613 | 1 | 0 | 0.013297 | 0 | 0.000697 | 0 | 0 | 0 | 0 | 1 | 0.041812 | false | 0.000697 | 0.001394 | 0 | 0.119164 | 0 | 0 | 0 | 0 | null | 1 | 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 | 9 |
42533b84f07b2a1083ae86133f281696ee2c26ef | 1,625 | py | Python | referentiel/models/glpi.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | 1 | 2017-12-13T20:28:32.000Z | 2017-12-13T20:28:32.000Z | referentiel/models/glpi.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | null | null | null | referentiel/models/glpi.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from simple_glpi_manager import SimpleGLPI_Manager
class GlpiUrgency(models.Model):
"""
Static data imported by syncdb (initial_data).
"""
name = models.CharField(max_length=150, verbose_name='Nom')
glpi_id = models.IntegerField(unique=True, blank=True, verbose_name='ID GLPI')
class Meta:
app_label = 'referentiel'
def __unicode__(self):
return self.name
class GlpiPriority(models.Model):
"""
Static data imported by syncdb (initial_data).
"""
name = models.CharField(max_length=150, verbose_name='Nom')
glpi_id = models.IntegerField(unique=True, blank=True, verbose_name='ID GLPI')
class Meta:
app_label = 'referentiel'
def __unicode__(self):
return self.name
class GlpiImpact(models.Model):
name = models.CharField(max_length=150, verbose_name='Nom')
glpi_id = models.IntegerField(unique=True, verbose_name='ID GLPI')
class Meta:
app_label = 'referentiel'
def __unicode__(self):
return self.name
class GlpiCategory(models.Model):
name = models.CharField(max_length=150, verbose_name='Nom')
glpi_id = models.IntegerField(unique=True, verbose_name='ID GLPI')
objects = SimpleGLPI_Manager(type='ITILCategory')
class Meta:
app_label = 'referentiel'
ordering = ['name','glpi_id']
def __unicode__(self):
return self.name
class GlpiSupplier(models.Model):
name = models.CharField(max_length=150, verbose_name='Nom')
glpi_id = models.IntegerField(unique=True, verbose_name='ID GLPI')
objects = SimpleGLPI_Manager(type='supplier')
class Meta:
app_label = 'referentiel'
ordering = ['glpi_id']
def __unicode__(self):
return self.name
| 24.621212 | 79 | 0.750154 | 217 | 1,625 | 5.368664 | 0.21659 | 0.094421 | 0.081545 | 0.094421 | 0.867811 | 0.867811 | 0.806009 | 0.801717 | 0.743348 | 0.743348 | 0 | 0.010586 | 0.128 | 1,625 | 65 | 80 | 25 | 0.811574 | 0.057231 | 0 | 0.731707 | 0 | 0 | 0.094577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.04878 | 0.121951 | 0.829268 | 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 | 1 | 1 | 0 | 0 | 9 |
42542ff9a7b44570dd9f721e672d514f921e0fbd | 41,272 | py | Python | venv/lib/python3.9/site-packages/google/cloud/spanner_admin_database_v1/proto/spanner_database_admin_pb2_grpc.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.9/site-packages/google/cloud/spanner_admin_database_v1/proto/spanner_database_admin_pb2_grpc.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.9/site-packages/google/cloud/spanner_admin_database_v1/proto/spanner_database_admin_pb2_grpc.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.cloud.spanner_admin_database_v1.proto import (
backup_pb2 as google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2,
)
from google.cloud.spanner_admin_database_v1.proto import (
spanner_database_admin_pb2 as google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2,
)
from google.iam.v1 import iam_policy_pb2 as google_dot_iam_dot_v1_dot_iam__policy__pb2
from google.iam.v1 import policy_pb2 as google_dot_iam_dot_v1_dot_policy__pb2
from google.longrunning import (
operations_pb2 as google_dot_longrunning_dot_operations__pb2,
)
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class DatabaseAdminStub(object):
"""Cloud Spanner Database Admin API
The Cloud Spanner Database Admin API can be used to create, drop, and
list databases. It also enables updating the schema of pre-existing
databases. It can be also used to create, delete and list backups for a
database and to restore from an existing backup.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.ListDatabases = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/ListDatabases",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesResponse.FromString,
)
self.CreateDatabase = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/CreateDatabase",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.CreateDatabaseRequest.SerializeToString,
response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
)
self.GetDatabase = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/GetDatabase",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.Database.FromString,
)
self.UpdateDatabaseDdl = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/UpdateDatabaseDdl",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.UpdateDatabaseDdlRequest.SerializeToString,
response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
)
self.DropDatabase = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/DropDatabase",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.DropDatabaseRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.GetDatabaseDdl = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/GetDatabaseDdl",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlResponse.FromString,
)
self.SetIamPolicy = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/SetIamPolicy",
request_serializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.SetIamPolicyRequest.SerializeToString,
response_deserializer=google_dot_iam_dot_v1_dot_policy__pb2.Policy.FromString,
)
self.GetIamPolicy = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/GetIamPolicy",
request_serializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.GetIamPolicyRequest.SerializeToString,
response_deserializer=google_dot_iam_dot_v1_dot_policy__pb2.Policy.FromString,
)
self.TestIamPermissions = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/TestIamPermissions",
request_serializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsRequest.SerializeToString,
response_deserializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsResponse.FromString,
)
self.CreateBackup = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/CreateBackup",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.CreateBackupRequest.SerializeToString,
response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
)
self.GetBackup = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/GetBackup",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.GetBackupRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.FromString,
)
self.UpdateBackup = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/UpdateBackup",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.UpdateBackupRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.FromString,
)
self.DeleteBackup = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/DeleteBackup",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.DeleteBackupRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.ListBackups = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/ListBackups",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsResponse.FromString,
)
self.RestoreDatabase = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/RestoreDatabase",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.RestoreDatabaseRequest.SerializeToString,
response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
)
self.ListDatabaseOperations = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/ListDatabaseOperations",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsResponse.FromString,
)
self.ListBackupOperations = channel.unary_unary(
"/google.spanner.admin.database.v1.DatabaseAdmin/ListBackupOperations",
request_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsResponse.FromString,
)
class DatabaseAdminServicer(object):
"""Cloud Spanner Database Admin API
The Cloud Spanner Database Admin API can be used to create, drop, and
list databases. It also enables updating the schema of pre-existing
databases. It can be also used to create, delete and list backups for a
database and to restore from an existing backup.
"""
def ListDatabases(self, request, context):
"""Lists Cloud Spanner databases.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def CreateDatabase(self, request, context):
"""Creates a new Cloud Spanner database and starts to prepare it for serving.
The returned [long-running operation][google.longrunning.Operation] will
have a name of the format `<database_name>/operations/<operation_id>` and
can be used to track preparation of the database. The
[metadata][google.longrunning.Operation.metadata] field type is
[CreateDatabaseMetadata][google.spanner.admin.database.v1.CreateDatabaseMetadata]. The
[response][google.longrunning.Operation.response] field type is
[Database][google.spanner.admin.database.v1.Database], if successful.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def GetDatabase(self, request, context):
"""Gets the state of a Cloud Spanner database.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def UpdateDatabaseDdl(self, request, context):
"""Updates the schema of a Cloud Spanner database by
creating/altering/dropping tables, columns, indexes, etc. The returned
[long-running operation][google.longrunning.Operation] will have a name of
the format `<database_name>/operations/<operation_id>` and can be used to
track execution of the schema change(s). The
[metadata][google.longrunning.Operation.metadata] field type is
[UpdateDatabaseDdlMetadata][google.spanner.admin.database.v1.UpdateDatabaseDdlMetadata]. The operation has no response.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def DropDatabase(self, request, context):
"""Drops (aka deletes) a Cloud Spanner database.
Completed backups for the database will be retained according to their
`expire_time`.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def GetDatabaseDdl(self, request, context):
"""Returns the schema of a Cloud Spanner database as a list of formatted
DDL statements. This method does not show pending schema updates, those may
be queried using the [Operations][google.longrunning.Operations] API.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def SetIamPolicy(self, request, context):
"""Sets the access control policy on a database or backup resource.
Replaces any existing policy.
Authorization requires `spanner.databases.setIamPolicy`
permission on [resource][google.iam.v1.SetIamPolicyRequest.resource].
For backups, authorization requires `spanner.backups.setIamPolicy`
permission on [resource][google.iam.v1.SetIamPolicyRequest.resource].
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def GetIamPolicy(self, request, context):
"""Gets the access control policy for a database or backup resource.
Returns an empty policy if a database or backup exists but does not have a
policy set.
Authorization requires `spanner.databases.getIamPolicy` permission on
[resource][google.iam.v1.GetIamPolicyRequest.resource].
For backups, authorization requires `spanner.backups.getIamPolicy`
permission on [resource][google.iam.v1.GetIamPolicyRequest.resource].
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def TestIamPermissions(self, request, context):
"""Returns permissions that the caller has on the specified database or backup
resource.
Attempting this RPC on a non-existent Cloud Spanner database will
result in a NOT_FOUND error if the user has
`spanner.databases.list` permission on the containing Cloud
Spanner instance. Otherwise returns an empty set of permissions.
Calling this method on a backup that does not exist will
result in a NOT_FOUND error if the user has
`spanner.backups.list` permission on the containing instance.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def CreateBackup(self, request, context):
"""Starts creating a new Cloud Spanner Backup.
The returned backup [long-running operation][google.longrunning.Operation]
will have a name of the format
`projects/<project>/instances/<instance>/backups/<backup>/operations/<operation_id>`
and can be used to track creation of the backup. The
[metadata][google.longrunning.Operation.metadata] field type is
[CreateBackupMetadata][google.spanner.admin.database.v1.CreateBackupMetadata]. The
[response][google.longrunning.Operation.response] field type is
[Backup][google.spanner.admin.database.v1.Backup], if successful. Cancelling the returned operation will stop the
creation and delete the backup.
There can be only one pending backup creation per database. Backup creation
of different databases can run concurrently.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def GetBackup(self, request, context):
"""Gets metadata on a pending or completed [Backup][google.spanner.admin.database.v1.Backup].
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def UpdateBackup(self, request, context):
"""Updates a pending or completed [Backup][google.spanner.admin.database.v1.Backup].
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def DeleteBackup(self, request, context):
"""Deletes a pending or completed [Backup][google.spanner.admin.database.v1.Backup].
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def ListBackups(self, request, context):
"""Lists completed and pending backups.
Backups returned are ordered by `create_time` in descending order,
starting from the most recent `create_time`.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def RestoreDatabase(self, request, context):
"""Create a new database by restoring from a completed backup. The new
database must be in the same project and in an instance with the same
instance configuration as the instance containing
the backup. The returned database [long-running
operation][google.longrunning.Operation] has a name of the format
`projects/<project>/instances/<instance>/databases/<database>/operations/<operation_id>`,
and can be used to track the progress of the operation, and to cancel it.
The [metadata][google.longrunning.Operation.metadata] field type is
[RestoreDatabaseMetadata][google.spanner.admin.database.v1.RestoreDatabaseMetadata].
The [response][google.longrunning.Operation.response] type
is [Database][google.spanner.admin.database.v1.Database], if
successful. Cancelling the returned operation will stop the restore and
delete the database.
There can be only one database being restored into an instance at a time.
Once the restore operation completes, a new restore operation can be
initiated, without waiting for the optimize operation associated with the
first restore to complete.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def ListDatabaseOperations(self, request, context):
"""Lists database [longrunning-operations][google.longrunning.Operation].
A database operation has a name of the form
`projects/<project>/instances/<instance>/databases/<database>/operations/<operation>`.
The long-running operation
[metadata][google.longrunning.Operation.metadata] field type
`metadata.type_url` describes the type of the metadata. Operations returned
include those that have completed/failed/canceled within the last 7 days,
and pending operations.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def ListBackupOperations(self, request, context):
"""Lists the backup [long-running operations][google.longrunning.Operation] in
the given instance. A backup operation has a name of the form
`projects/<project>/instances/<instance>/backups/<backup>/operations/<operation>`.
The long-running operation
[metadata][google.longrunning.Operation.metadata] field type
`metadata.type_url` describes the type of the metadata. Operations returned
include those that have completed/failed/canceled within the last 7 days,
and pending operations. Operations returned are ordered by
`operation.metadata.value.progress.start_time` in descending order starting
from the most recently started operation.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def add_DatabaseAdminServicer_to_server(servicer, server):
rpc_method_handlers = {
"ListDatabases": grpc.unary_unary_rpc_method_handler(
servicer.ListDatabases,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesResponse.SerializeToString,
),
"CreateDatabase": grpc.unary_unary_rpc_method_handler(
servicer.CreateDatabase,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.CreateDatabaseRequest.FromString,
response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
),
"GetDatabase": grpc.unary_unary_rpc_method_handler(
servicer.GetDatabase,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.Database.SerializeToString,
),
"UpdateDatabaseDdl": grpc.unary_unary_rpc_method_handler(
servicer.UpdateDatabaseDdl,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.UpdateDatabaseDdlRequest.FromString,
response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
),
"DropDatabase": grpc.unary_unary_rpc_method_handler(
servicer.DropDatabase,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.DropDatabaseRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
"GetDatabaseDdl": grpc.unary_unary_rpc_method_handler(
servicer.GetDatabaseDdl,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlResponse.SerializeToString,
),
"SetIamPolicy": grpc.unary_unary_rpc_method_handler(
servicer.SetIamPolicy,
request_deserializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.SetIamPolicyRequest.FromString,
response_serializer=google_dot_iam_dot_v1_dot_policy__pb2.Policy.SerializeToString,
),
"GetIamPolicy": grpc.unary_unary_rpc_method_handler(
servicer.GetIamPolicy,
request_deserializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.GetIamPolicyRequest.FromString,
response_serializer=google_dot_iam_dot_v1_dot_policy__pb2.Policy.SerializeToString,
),
"TestIamPermissions": grpc.unary_unary_rpc_method_handler(
servicer.TestIamPermissions,
request_deserializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsRequest.FromString,
response_serializer=google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsResponse.SerializeToString,
),
"CreateBackup": grpc.unary_unary_rpc_method_handler(
servicer.CreateBackup,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.CreateBackupRequest.FromString,
response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
),
"GetBackup": grpc.unary_unary_rpc_method_handler(
servicer.GetBackup,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.GetBackupRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.SerializeToString,
),
"UpdateBackup": grpc.unary_unary_rpc_method_handler(
servicer.UpdateBackup,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.UpdateBackupRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.SerializeToString,
),
"DeleteBackup": grpc.unary_unary_rpc_method_handler(
servicer.DeleteBackup,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.DeleteBackupRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
"ListBackups": grpc.unary_unary_rpc_method_handler(
servicer.ListBackups,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsResponse.SerializeToString,
),
"RestoreDatabase": grpc.unary_unary_rpc_method_handler(
servicer.RestoreDatabase,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.RestoreDatabaseRequest.FromString,
response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
),
"ListDatabaseOperations": grpc.unary_unary_rpc_method_handler(
servicer.ListDatabaseOperations,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsResponse.SerializeToString,
),
"ListBackupOperations": grpc.unary_unary_rpc_method_handler(
servicer.ListBackupOperations,
request_deserializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsRequest.FromString,
response_serializer=google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
"google.spanner.admin.database.v1.DatabaseAdmin", rpc_method_handlers
)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class DatabaseAdmin(object):
"""Cloud Spanner Database Admin API
The Cloud Spanner Database Admin API can be used to create, drop, and
list databases. It also enables updating the schema of pre-existing
databases. It can be also used to create, delete and list backups for a
database and to restore from an existing backup.
"""
@staticmethod
def ListDatabases(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/ListDatabases",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabasesResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def CreateDatabase(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/CreateDatabase",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.CreateDatabaseRequest.SerializeToString,
google_dot_longrunning_dot_operations__pb2.Operation.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def GetDatabase(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/GetDatabase",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.Database.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def UpdateDatabaseDdl(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/UpdateDatabaseDdl",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.UpdateDatabaseDdlRequest.SerializeToString,
google_dot_longrunning_dot_operations__pb2.Operation.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def DropDatabase(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/DropDatabase",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.DropDatabaseRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def GetDatabaseDdl(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/GetDatabaseDdl",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.GetDatabaseDdlResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def SetIamPolicy(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/SetIamPolicy",
google_dot_iam_dot_v1_dot_iam__policy__pb2.SetIamPolicyRequest.SerializeToString,
google_dot_iam_dot_v1_dot_policy__pb2.Policy.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def GetIamPolicy(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/GetIamPolicy",
google_dot_iam_dot_v1_dot_iam__policy__pb2.GetIamPolicyRequest.SerializeToString,
google_dot_iam_dot_v1_dot_policy__pb2.Policy.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def TestIamPermissions(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/TestIamPermissions",
google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsRequest.SerializeToString,
google_dot_iam_dot_v1_dot_iam__policy__pb2.TestIamPermissionsResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def CreateBackup(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/CreateBackup",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.CreateBackupRequest.SerializeToString,
google_dot_longrunning_dot_operations__pb2.Operation.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def GetBackup(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/GetBackup",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.GetBackupRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def UpdateBackup(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/UpdateBackup",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.UpdateBackupRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.Backup.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def DeleteBackup(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/DeleteBackup",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.DeleteBackupRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def ListBackups(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/ListBackups",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupsResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def RestoreDatabase(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/RestoreDatabase",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.RestoreDatabaseRequest.SerializeToString,
google_dot_longrunning_dot_operations__pb2.Operation.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def ListDatabaseOperations(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/ListDatabaseOperations",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_spanner__database__admin__pb2.ListDatabaseOperationsResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
@staticmethod
def ListBackupOperations(
request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None,
):
return grpc.experimental.unary_unary(
request,
target,
"/google.spanner.admin.database.v1.DatabaseAdmin/ListBackupOperations",
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsRequest.SerializeToString,
google_dot_cloud_dot_spanner__admin__database__v1_dot_proto_dot_backup__pb2.ListBackupOperationsResponse.FromString,
options,
channel_credentials,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
)
| 46.0625 | 175 | 0.711524 | 4,276 | 41,272 | 6.416277 | 0.06899 | 0.050299 | 0.083831 | 0.092215 | 0.845604 | 0.833686 | 0.824902 | 0.777081 | 0.77165 | 0.69766 | 0 | 0.008047 | 0.226182 | 41,272 | 895 | 176 | 46.113966 | 0.851019 | 0.175543 | 0 | 0.697443 | 1 | 0 | 0.095794 | 0.065677 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051136 | false | 0 | 0.009943 | 0.024148 | 0.089489 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
42765938de7638f1581fb56099a27e7ffc066ef3 | 6,693 | py | Python | tests/server/blueprints/variants/test_variants_views.py | gmc-norr/scout | ea8eaaa079c63e4033af6216ec08da4a314f9b5c | [
"BSD-3-Clause"
] | null | null | null | tests/server/blueprints/variants/test_variants_views.py | gmc-norr/scout | ea8eaaa079c63e4033af6216ec08da4a314f9b5c | [
"BSD-3-Clause"
] | null | null | null | tests/server/blueprints/variants/test_variants_views.py | gmc-norr/scout | ea8eaaa079c63e4033af6216ec08da4a314f9b5c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from flask import url_for, current_app
from flask_login import current_user
from urllib.parse import urlencode
def test_variants(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the variants page
resp = client.get(
url_for(
"variants.variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
)
)
# THEN it should return a page
assert resp.status_code == 200
def test_variants_research(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the variants page
resp = client.get(
url_for(
"variants.variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
variant_type="research",
)
)
# THEN it should return a page
assert resp.status_code == 200
# THEN a reset filters link with variant type should have been made
assert "variant_type=research" in str(resp.data)
def test_variants_post_data(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN submitting form data to the page (POST method)
data = urlencode({"clinical_filter": True}) # clinical filter
# WHEN requesting a clinical filter to variants page
resp = client.post(
url_for(
"variants.variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
),
data=data,
content_type="application/x-www-form-urlencoded",
)
# THEN it should return a page
assert resp.status_code == 200
def test_sv_variants(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the sv-variants page
resp = client.get(
url_for(
"variants.sv_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
)
)
# THEN it should return a page
assert resp.status_code == 200
def test_sv_variants_research(app, institute_obj, case_obj):
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the sv-variants page
resp = client.get(
url_for(
"variants.sv_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
variant_type="research",
)
)
# THEN it should return a page
assert resp.status_code == 200
# THEN a reset filters link with variant type should have been made
assert "variant_type=research" in str(resp.data)
def test_sv_variants_post_data(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN requesting a clinical filter from the page (POST method)
data = urlencode({"clinical_filter": True}) # clinical filter
# WHEN posting an update description request to panel page
resp = client.post(
url_for(
"variants.sv_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
),
data=data,
content_type="application/x-www-form-urlencoded",
)
# THEN it should return a page
assert resp.status_code == 200
def test_str_variants(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the str-variants page
resp = client.get(
url_for(
"variants.str_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
)
)
# THEN it should return a page
assert resp.status_code == 200
def test_cancer_variants(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the sv-variants page
resp = client.get(
url_for(
"variants.cancer_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
)
)
# THEN it should return a page
assert resp.status_code == 200
def test_sv_cancer_variants(app, institute_obj, case_obj):
# GIVEN an initialized app
# GIVEN a valid user and institute
with app.test_client() as client:
# GIVEN that the user could be logged in
resp = client.get(url_for("auto_login"))
assert resp.status_code == 200
# WHEN accessing the sv-variants page
resp = client.get(
url_for(
"variants.cancer_sv_variants",
institute_id=institute_obj["internal_id"],
case_name=case_obj["display_name"],
)
)
# THEN it should return a page
assert resp.status_code == 200
| 32.023923 | 75 | 0.610489 | 851 | 6,693 | 4.60517 | 0.101058 | 0.029089 | 0.073488 | 0.09186 | 0.950498 | 0.937739 | 0.937739 | 0.916816 | 0.906864 | 0.906864 | 0 | 0.01191 | 0.310025 | 6,693 | 208 | 76 | 32.177885 | 0.836726 | 0.258479 | 0 | 0.743802 | 0 | 0 | 0.129072 | 0.036645 | 0 | 0 | 0 | 0 | 0.165289 | 1 | 0.07438 | false | 0 | 0.024793 | 0 | 0.099174 | 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 |
42a1b612111ab28cbbfceb96f206538a92d32e7a | 273,275 | py | Python | french_law/python/src/allocations_familiales.py | pnmadelaine/catala | d301e0f434e744fe0557fcd612b841c448eeeaf6 | [
"Apache-2.0"
] | null | null | null | french_law/python/src/allocations_familiales.py | pnmadelaine/catala | d301e0f434e744fe0557fcd612b841c448eeeaf6 | [
"Apache-2.0"
] | null | null | null | french_law/python/src/allocations_familiales.py | pnmadelaine/catala | d301e0f434e744fe0557fcd612b841c448eeeaf6 | [
"Apache-2.0"
] | null | null | null | # This file has been generated by the Catala compiler, do not edit!
from .catala import *
from typing import Any, List, Callable, Tuple
from enum import Enum
class PriseEnCharge_Code(Enum):
GardeAlterneePartageAllocations = 0
GardeAlterneeAllocataireUnique = 1
EffectiveEtPermanente = 2
ServicesSociauxAllocationVerseeALaFamille = 3
ServicesSociauxAllocationVerseeAuxServicesSociaux = 4
class PriseEnCharge:
def __init__(self, code: PriseEnCharge_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, PriseEnCharge):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class SituationObligationScolaire_Code(Enum):
Avant = 0
Pendant = 1
Apres = 2
class SituationObligationScolaire:
def __init__(self, code: SituationObligationScolaire_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, SituationObligationScolaire):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class Collectivite_Code(Enum):
Guadeloupe = 0
Guyane = 1
Martinique = 2
LaReunion = 3
SaintBarthelemy = 4
SaintMartin = 5
Metropole = 6
SaintPierreEtMiquelon = 7
Mayotte = 8
class Collectivite:
def __init__(self, code: Collectivite_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, Collectivite):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class PriseEnCompte_Code(Enum):
Complete = 0
Partagee = 1
Zero = 2
class PriseEnCompte:
def __init__(self, code: PriseEnCompte_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, PriseEnCompte):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class VersementAllocations_Code(Enum):
Normal = 0
AllocationVerseeAuxServicesSociaux = 1
class VersementAllocations:
def __init__(self, code: VersementAllocations_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, VersementAllocations):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class ElementPrestationsFamiliales_Code(Enum):
PrestationAccueilJeuneEnfant = 0
AllocationsFamiliales = 1
ComplementFamilial = 2
AllocationLogement = 3
AllocationEducationEnfantHandicape = 4
AllocationSoutienFamilial = 5
AllocationRentreeScolaire = 6
AllocationJournalierePresenceParentale = 7
class ElementPrestationsFamiliales:
def __init__(self, code: ElementPrestationsFamiliales_Code, value: Any) -> None:
self.code = code
self.value = value
def __eq__(self, other: object) -> bool:
if isinstance(other, ElementPrestationsFamiliales):
return self.code == other.code and self.value == other.value
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "{}({})".format(self.code, self.value)
class EnfantEntree:
def __init__(self, d_identifiant: Integer, d_remuneration_mensuelle: Money, d_date_de_naissance: Date, d_prise_en_charge: PriseEnCharge, d_a_deja_ouvert_droit_aux_allocations_familiales: bool) -> None:
self.d_identifiant = d_identifiant
self.d_remuneration_mensuelle = d_remuneration_mensuelle
self.d_date_de_naissance = d_date_de_naissance
self.d_prise_en_charge = d_prise_en_charge
self.d_a_deja_ouvert_droit_aux_allocations_familiales = d_a_deja_ouvert_droit_aux_allocations_familiales
def __eq__(self, other: object) -> bool:
if isinstance(other, EnfantEntree):
return (self.d_identifiant == other.d_identifiant and
self.d_remuneration_mensuelle == other.d_remuneration_mensuelle and
self.d_date_de_naissance == other.d_date_de_naissance and
self.d_prise_en_charge == other.d_prise_en_charge and
self.d_a_deja_ouvert_droit_aux_allocations_familiales == other.d_a_deja_ouvert_droit_aux_allocations_familiales)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "EnfantEntree(d_identifiant={},d_remuneration_mensuelle={},d_date_de_naissance={},d_prise_en_charge={},d_a_deja_ouvert_droit_aux_allocations_familiales={})".format(self.d_identifiant,
self.d_remuneration_mensuelle, self.d_date_de_naissance,
self.d_prise_en_charge,
self.d_a_deja_ouvert_droit_aux_allocations_familiales)
class Enfant:
def __init__(self, identifiant: Integer, obligation_scolaire: SituationObligationScolaire, remuneration_mensuelle: Money, date_de_naissance: Date, age: Integer, prise_en_charge: PriseEnCharge, a_deja_ouvert_droit_aux_allocations_familiales: bool) -> None:
self.identifiant = identifiant
self.obligation_scolaire = obligation_scolaire
self.remuneration_mensuelle = remuneration_mensuelle
self.date_de_naissance = date_de_naissance
self.age = age
self.prise_en_charge = prise_en_charge
self.a_deja_ouvert_droit_aux_allocations_familiales = a_deja_ouvert_droit_aux_allocations_familiales
def __eq__(self, other: object) -> bool:
if isinstance(other, Enfant):
return (self.identifiant == other.identifiant and
self.obligation_scolaire == other.obligation_scolaire and
self.remuneration_mensuelle == other.remuneration_mensuelle and
self.date_de_naissance == other.date_de_naissance and
self.age == other.age and
self.prise_en_charge == other.prise_en_charge and
self.a_deja_ouvert_droit_aux_allocations_familiales == other.a_deja_ouvert_droit_aux_allocations_familiales)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "Enfant(identifiant={},obligation_scolaire={},remuneration_mensuelle={},date_de_naissance={},age={},prise_en_charge={},a_deja_ouvert_droit_aux_allocations_familiales={})".format(self.identifiant,
self.obligation_scolaire, self.remuneration_mensuelle,
self.date_de_naissance, self.age, self.prise_en_charge,
self.a_deja_ouvert_droit_aux_allocations_familiales)
class SmicOut:
def __init__(self, brut_horaire_out: Money) -> None:
self.brut_horaire_out = brut_horaire_out
def __eq__(self, other: object) -> bool:
if isinstance(other, SmicOut):
return (self.brut_horaire_out == other.brut_horaire_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "SmicOut(brut_horaire_out={})".format(self.brut_horaire_out)
class SmicIn:
def __init__(self, date_courante_in: Date, residence_in: Collectivite) -> None:
self.date_courante_in = date_courante_in
self.residence_in = residence_in
def __eq__(self, other: object) -> bool:
if isinstance(other, SmicIn):
return (self.date_courante_in == other.date_courante_in and
self.residence_in == other.residence_in)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "SmicIn(date_courante_in={},residence_in={})".format(self.date_courante_in,
self.residence_in)
class PrestationsFamilialesOut:
def __init__(self, droit_ouvert_out: Callable[[Enfant], bool], conditions_hors_age_out: Callable[[Enfant], bool], age_l512_3_2_out: Integer, regime_outre_mer_l751_1_out: bool, base_mensuelle_out: Money) -> None:
self.droit_ouvert_out = droit_ouvert_out
self.conditions_hors_age_out = conditions_hors_age_out
self.age_l512_3_2_out = age_l512_3_2_out
self.regime_outre_mer_l751_1_out = regime_outre_mer_l751_1_out
self.base_mensuelle_out = base_mensuelle_out
def __eq__(self, other: object) -> bool:
if isinstance(other, PrestationsFamilialesOut):
return (self.droit_ouvert_out == other.droit_ouvert_out and
self.conditions_hors_age_out == other.conditions_hors_age_out and
self.age_l512_3_2_out == other.age_l512_3_2_out and
self.regime_outre_mer_l751_1_out == other.regime_outre_mer_l751_1_out and
self.base_mensuelle_out == other.base_mensuelle_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "PrestationsFamilialesOut(droit_ouvert_out={},conditions_hors_age_out={},age_l512_3_2_out={},regime_outre_mer_l751_1_out={},base_mensuelle_out={})".format(self.droit_ouvert_out,
self.conditions_hors_age_out, self.age_l512_3_2_out,
self.regime_outre_mer_l751_1_out, self.base_mensuelle_out)
class PrestationsFamilialesIn:
def __init__(self, date_courante_in: Date, prestation_courante_in: ElementPrestationsFamiliales, residence_in: Collectivite) -> None:
self.date_courante_in = date_courante_in
self.prestation_courante_in = prestation_courante_in
self.residence_in = residence_in
def __eq__(self, other: object) -> bool:
if isinstance(other, PrestationsFamilialesIn):
return (self.date_courante_in == other.date_courante_in and
self.prestation_courante_in == other.prestation_courante_in and
self.residence_in == other.residence_in)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "PrestationsFamilialesIn(date_courante_in={},prestation_courante_in={},residence_in={})".format(self.date_courante_in,
self.prestation_courante_in, self.residence_in)
class AllocationFamilialesAvril2008Out:
def __init__(self, age_minimum_alinea_1_l521_3_out: Integer) -> None:
self.age_minimum_alinea_1_l521_3_out = age_minimum_alinea_1_l521_3_out
def __eq__(self, other: object) -> bool:
if isinstance(other, AllocationFamilialesAvril2008Out):
return (self.age_minimum_alinea_1_l521_3_out == other.age_minimum_alinea_1_l521_3_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "AllocationFamilialesAvril2008Out(age_minimum_alinea_1_l521_3_out={})".format(self.age_minimum_alinea_1_l521_3_out)
class AllocationFamilialesAvril2008In:
def __init__(self, ) -> None:
pass
def __eq__(self, other: object) -> bool:
if isinstance(other, AllocationFamilialesAvril2008In):
return (True)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "AllocationFamilialesAvril2008In()".format()
class EnfantLePlusAgeOut:
def __init__(self, le_plus_age_out: Enfant) -> None:
self.le_plus_age_out = le_plus_age_out
def __eq__(self, other: object) -> bool:
if isinstance(other, EnfantLePlusAgeOut):
return (self.le_plus_age_out == other.le_plus_age_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "EnfantLePlusAgeOut(le_plus_age_out={})".format(self.le_plus_age_out)
class EnfantLePlusAgeIn:
def __init__(self, enfants_in: List[Enfant]) -> None:
self.enfants_in = enfants_in
def __eq__(self, other: object) -> bool:
if isinstance(other, EnfantLePlusAgeIn):
return (self.enfants_in == other.enfants_in)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "EnfantLePlusAgeIn(enfants_in={})".format(self.enfants_in)
class AllocationsFamilialesOut:
def __init__(self, montant_verse_out: Money) -> None:
self.montant_verse_out = montant_verse_out
def __eq__(self, other: object) -> bool:
if isinstance(other, AllocationsFamilialesOut):
return (self.montant_verse_out == other.montant_verse_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "AllocationsFamilialesOut(montant_verse_out={})".format(self.montant_verse_out)
class AllocationsFamilialesIn:
def __init__(self, personne_charge_effective_permanente_est_parent_in: bool, personne_charge_effective_permanente_remplit_titre_I_in: bool, ressources_menage_in: Money, residence_in: Collectivite, date_courante_in: Date, enfants_a_charge_in: List[Enfant], avait_enfant_a_charge_avant_1er_janvier_2012_in: bool) -> None:
self.personne_charge_effective_permanente_est_parent_in = personne_charge_effective_permanente_est_parent_in
self.personne_charge_effective_permanente_remplit_titre_I_in = personne_charge_effective_permanente_remplit_titre_I_in
self.ressources_menage_in = ressources_menage_in
self.residence_in = residence_in
self.date_courante_in = date_courante_in
self.enfants_a_charge_in = enfants_a_charge_in
self.avait_enfant_a_charge_avant_1er_janvier_2012_in = avait_enfant_a_charge_avant_1er_janvier_2012_in
def __eq__(self, other: object) -> bool:
if isinstance(other, AllocationsFamilialesIn):
return (self.personne_charge_effective_permanente_est_parent_in == other.personne_charge_effective_permanente_est_parent_in and
self.personne_charge_effective_permanente_remplit_titre_I_in == other.personne_charge_effective_permanente_remplit_titre_I_in and
self.ressources_menage_in == other.ressources_menage_in and
self.residence_in == other.residence_in and
self.date_courante_in == other.date_courante_in and
self.enfants_a_charge_in == other.enfants_a_charge_in and
self.avait_enfant_a_charge_avant_1er_janvier_2012_in == other.avait_enfant_a_charge_avant_1er_janvier_2012_in)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "AllocationsFamilialesIn(personne_charge_effective_permanente_est_parent_in={},personne_charge_effective_permanente_remplit_titre_I_in={},ressources_menage_in={},residence_in={},date_courante_in={},enfants_a_charge_in={},avait_enfant_a_charge_avant_1er_janvier_2012_in={})".format(self.personne_charge_effective_permanente_est_parent_in,
self.personne_charge_effective_permanente_remplit_titre_I_in,
self.ressources_menage_in, self.residence_in, self.date_courante_in,
self.enfants_a_charge_in,
self.avait_enfant_a_charge_avant_1er_janvier_2012_in)
class InterfaceAllocationsFamilialesOut:
def __init__(self, i_montant_verse_out: Money) -> None:
self.i_montant_verse_out = i_montant_verse_out
def __eq__(self, other: object) -> bool:
if isinstance(other, InterfaceAllocationsFamilialesOut):
return (self.i_montant_verse_out == other.i_montant_verse_out)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "InterfaceAllocationsFamilialesOut(i_montant_verse_out={})".format(self.i_montant_verse_out)
class InterfaceAllocationsFamilialesIn:
def __init__(self, i_date_courante_in: Date, i_enfants_in: List[EnfantEntree], i_ressources_menage_in: Money, i_residence_in: Collectivite, i_personne_charge_effective_permanente_est_parent_in: bool, i_personne_charge_effective_permanente_remplit_titre_I_in: bool, i_avait_enfant_a_charge_avant_1er_janvier_2012_in: bool) -> None:
self.i_date_courante_in = i_date_courante_in
self.i_enfants_in = i_enfants_in
self.i_ressources_menage_in = i_ressources_menage_in
self.i_residence_in = i_residence_in
self.i_personne_charge_effective_permanente_est_parent_in = i_personne_charge_effective_permanente_est_parent_in
self.i_personne_charge_effective_permanente_remplit_titre_I_in = i_personne_charge_effective_permanente_remplit_titre_I_in
self.i_avait_enfant_a_charge_avant_1er_janvier_2012_in = i_avait_enfant_a_charge_avant_1er_janvier_2012_in
def __eq__(self, other: object) -> bool:
if isinstance(other, InterfaceAllocationsFamilialesIn):
return (self.i_date_courante_in == other.i_date_courante_in and
self.i_enfants_in == other.i_enfants_in and
self.i_ressources_menage_in == other.i_ressources_menage_in and
self.i_residence_in == other.i_residence_in and
self.i_personne_charge_effective_permanente_est_parent_in == other.i_personne_charge_effective_permanente_est_parent_in and
self.i_personne_charge_effective_permanente_remplit_titre_I_in == other.i_personne_charge_effective_permanente_remplit_titre_I_in and
self.i_avait_enfant_a_charge_avant_1er_janvier_2012_in == other.i_avait_enfant_a_charge_avant_1er_janvier_2012_in)
else:
return False
def __ne__(self, other: object) -> bool:
return not (self == other)
def __str__(self) -> str:
return "InterfaceAllocationsFamilialesIn(i_date_courante_in={},i_enfants_in={},i_ressources_menage_in={},i_residence_in={},i_personne_charge_effective_permanente_est_parent_in={},i_personne_charge_effective_permanente_remplit_titre_I_in={},i_avait_enfant_a_charge_avant_1er_janvier_2012_in={})".format(self.i_date_courante_in,
self.i_enfants_in, self.i_ressources_menage_in, self.i_residence_in,
self.i_personne_charge_effective_permanente_est_parent_in,
self.i_personne_charge_effective_permanente_remplit_titre_I_in,
self.i_avait_enfant_a_charge_avant_1er_janvier_2012_in)
def smic(smic_in_1: SmicIn):
date_courante_2 = smic_in_1.date_courante_in
residence_3 = smic_in_1.residence_in
try:
def local_var_16(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=219, start_column=5, end_line=228, end_column=6,
law_headings=["Article 1",
"Décret n° 2018-1173 du 19 décembre 2018 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2019, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2019, 12, 31)) and ((residence_3 ==
Collectivite(Collectivite_Code.Metropole, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Guadeloupe,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.Guyane, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Martinique,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.LaReunion, Unit())) or
((residence_3 ==
Collectivite(Collectivite_Code.SaintBarthelemy, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.SaintMartin,
Unit())) or (residence_3 ==
Collectivite(Collectivite_Code.SaintPierreEtMiquelon,
Unit())))))))))))):
return money_of_cents_string("1003")
else:
raise EmptyError
def local_var_14(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=237, start_column=5, end_line=239, end_column=6,
law_headings=["Article 1",
"Décret n° 2018-1173 du 19 décembre 2018 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2019, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2019, 12, 31)) and (residence_3 ==
Collectivite(Collectivite_Code.Mayotte,
Unit()))))):
return money_of_cents_string("757")
else:
raise EmptyError
def local_var_12(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=258, start_column=5, end_line=267, end_column=6,
law_headings=["Article 1",
"Décret n° 2019-1387 du 18 décembre 2019 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2020, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2020, 12, 31)) and ((residence_3 ==
Collectivite(Collectivite_Code.Metropole, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Guadeloupe,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.Guyane, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Martinique,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.LaReunion, Unit())) or
((residence_3 ==
Collectivite(Collectivite_Code.SaintBarthelemy, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.SaintMartin,
Unit())) or (residence_3 ==
Collectivite(Collectivite_Code.SaintPierreEtMiquelon,
Unit())))))))))))):
return money_of_cents_string("1015")
else:
raise EmptyError
def local_var_10(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=276, start_column=5, end_line=278, end_column=6,
law_headings=["Article 1",
"Décret n° 2019-1387 du 18 décembre 2019 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2020, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2020, 12, 31)) and (residence_3 ==
Collectivite(Collectivite_Code.Mayotte,
Unit()))))):
return money_of_cents_string("766")
else:
raise EmptyError
def local_var_8(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=297, start_column=5, end_line=306, end_column=6,
law_headings=["Article 1",
"Décret n° 2020-1598 du 16 décembre 2020 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2021, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2021, 12, 31)) and ((residence_3 ==
Collectivite(Collectivite_Code.Metropole, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Guadeloupe,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.Guyane, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.Martinique,
Unit())) or ((residence_3 ==
Collectivite(Collectivite_Code.LaReunion, Unit())) or
((residence_3 ==
Collectivite(Collectivite_Code.SaintBarthelemy, Unit())) or
((residence_3 == Collectivite(Collectivite_Code.SaintMartin,
Unit())) or (residence_3 ==
Collectivite(Collectivite_Code.SaintPierreEtMiquelon,
Unit())))))))))))):
return money_of_cents_string("1025")
else:
raise EmptyError
def local_var_6(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=315, start_column=5, end_line=317, end_column=6,
law_headings=["Article 1",
"Décret n° 2020-1598 du 16 décembre 2020 portant relèvement du salaire minimum de croissance",
"Montant du salaire minimum de croissance",
"Décrets divers"]), ((date_courante_2 >=
date_of_numbers(2021, 1, 1)) and ((date_courante_2 <=
date_of_numbers(2021, 12, 31)) and (residence_3 ==
Collectivite(Collectivite_Code.Mayotte,
Unit()))))):
return money_of_cents_string("774")
else:
raise EmptyError
def local_var_18(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=43, start_column=10, end_line=43, end_column=22,
law_headings=["Prologue"]), True)
def local_var_20(_: Any):
raise EmptyError
local_var_5 = handle_default([local_var_6, local_var_8, local_var_10,
local_var_12, local_var_14, local_var_16], local_var_18,
local_var_20)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=43, start_column=10, end_line=43, end_column=22,
law_headings=["Prologue"]))
brut_horaire_4 = log_variable_definition(["Smic", "brut_horaire"],
local_var_5)
return SmicOut(brut_horaire_out=brut_horaire_4)
def allocation_familiales_avril2008(allocation_familiales_avril2008_in_22: AllocationFamilialesAvril2008In):
try:
local_var_24 = integer_of_string("16")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=81, start_column=10, end_line=81, end_column=37,
law_headings=["Prologue"]))
age_minimum_alinea_1_l521_3_23 = log_variable_definition(["AllocationFamilialesAvril2008",
"âge_minimum_alinéa_1_l521_3"], local_var_24)
return AllocationFamilialesAvril2008Out(age_minimum_alinea_1_l521_3_out=age_minimum_alinea_1_l521_3_23)
def enfant_le_plus_age(enfant_le_plus_age_in_25: EnfantLePlusAgeIn):
enfants_26 = enfant_le_plus_age_in_25.enfants_in
try:
def local_var_29(acc_30: Any, item_31: Any):
if (acc_30.age > item_31.age):
return acc_30
else:
return item_31
local_var_28 = list_fold_left(local_var_29,
Enfant(identifiant=- integer_of_string("1"),
obligation_scolaire=SituationObligationScolaire(SituationObligationScolaire_Code.Pendant,
Unit()), remuneration_mensuelle=money_of_cents_string("0"),
date_de_naissance=date_of_numbers(
1900, 1, 1),
age=integer_of_string("0"),
prise_en_charge=PriseEnCharge(PriseEnCharge_Code.EffectiveEtPermanente,
Unit()), a_deja_ouvert_droit_aux_allocations_familiales=False),
enfants_26)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=85, start_column=10, end_line=85, end_column=21,
law_headings=["Prologue"]))
le_plus_age_27 = log_variable_definition(["EnfantLePlusÂgé",
"le_plus_âgé"], local_var_28)
return EnfantLePlusAgeOut(le_plus_age_out=le_plus_age_27)
def prestations_familiales(prestations_familiales_in_32: PrestationsFamilialesIn):
date_courante_33 = prestations_familiales_in_32.date_courante_in
prestation_courante_34 = prestations_familiales_in_32.prestation_courante_in
residence_35 = prestations_familiales_in_32.residence_in
try:
local_var_37 = integer_of_string("20")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=68, start_column=10, end_line=68, end_column=22,
law_headings=["Prologue"]))
age_l512_3_2_36 = log_variable_definition(["PrestationsFamiliales",
"âge_l512_3_2"], local_var_37)
try:
def local_var_44(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=24, start_column=5, end_line=25, end_column=34,
law_headings=["Instruction ministérielle N°DSS/SD2B/2019/65 du 25 mars 2019 relative à la revalorisation au 1er avril 2019 des prestations familiales servies en métropole",
"Montant de la base mensuelle des allocations familiales",
"Décrets divers"]), ((date_courante_33 >=
date_of_numbers(2019, 4, 1)) and (date_courante_33 <
date_of_numbers(2020, 4, 1)))):
return money_of_cents_string("41316")
else:
raise EmptyError
def local_var_42(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=44, start_column=5, end_line=45, end_column=34,
law_headings=["Instruction interministérielle no DSS/SD2B/2020/33 du 18 février 2020 relative à la revalorisation au 1er avril 2020 des prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à La Réunion, à Saint-Barthélemy, à Saint-Martin et dans le département de Mayotte",
"Montant de la base mensuelle des allocations familiales",
"Décrets divers"]), ((date_courante_33 >=
date_of_numbers(2020, 4, 1)) and (date_courante_33 <
date_of_numbers(2021, 4, 1)))):
return money_of_cents_string("41404")
else:
raise EmptyError
def local_var_40(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=60, start_column=5, end_line=61, end_column=34,
law_headings=["Instruction interministérielle n°DSS/2B/2021/65 du 19 mars 2021 relative à la revalorisation au 1er avril 2021 des prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à la Réunion, à Saint-Barthélemy, à Saint-Martin et dans le département de Mayotte",
"Montant de la base mensuelle des allocations familiales",
"Décrets divers"]), ((date_courante_33 >=
date_of_numbers(2021, 4, 1)) and (date_courante_33 <
date_of_numbers(2022, 4, 1)))):
return money_of_cents_string("41481")
else:
raise EmptyError
def local_var_46(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=74, start_column=10, end_line=74, end_column=24,
law_headings=["Prologue"]), True)
def local_var_48(_: Any):
raise EmptyError
local_var_39 = handle_default([local_var_40, local_var_42,
local_var_44], local_var_46, local_var_48)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=74, start_column=10, end_line=74, end_column=24,
law_headings=["Prologue"]))
base_mensuelle_38 = log_variable_definition(["PrestationsFamiliales",
"base_mensuelle"], local_var_39)
try:
local_var_51 = log_variable_definition(["PrestationsFamiliales",
"smic.date_courante"], date_courante_33)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=41, start_column=10, end_line=41, end_column=23,
law_headings=["Prologue"]))
smic_dot_date_courante_50 = local_var_51
try:
local_var_53 = log_variable_definition(["PrestationsFamiliales",
"smic.résidence"], residence_35)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=42, start_column=10, end_line=42, end_column=19,
law_headings=["Prologue"]))
smic_dot_residence_52 = local_var_53
result_54 = log_end_call(["PrestationsFamiliales", "smic", "Smic"],
log_begin_call(["PrestationsFamiliales", "smic", "Smic"], smic,
SmicIn(date_courante_in=smic_dot_date_courante_50,
residence_in=smic_dot_residence_52)))
smic_dot_brut_horaire_55 = result_54.brut_horaire_out
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=354, start_column=5, end_line=359, end_column=30,
law_headings=["Article L751-1",
"Chapitre 1er : Généralités",
"Titre 5 : Dispositions particulières à la Guadeloupe, à la Guyane, à la Martinique, à La Réunion, à Saint-Barthélemy et à Saint-Martin",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie législative",
"Code de la sécurité sociale"]), ((residence_35 ==
Collectivite(Collectivite_Code.Guadeloupe, Unit())) or
((residence_35 == Collectivite(Collectivite_Code.Guyane,
Unit())) or ((residence_35 ==
Collectivite(Collectivite_Code.Martinique, Unit())) or
((residence_35 == Collectivite(Collectivite_Code.LaReunion,
Unit())) or ((residence_35 ==
Collectivite(Collectivite_Code.SaintBarthelemy, Unit())) or
(residence_35 == Collectivite(Collectivite_Code.SaintMartin,
Unit())))))))):
local_var_57 = True
else:
raise EmptyError
except EmptyError:
local_var_57 = False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=69, start_column=10, end_line=69, end_column=33,
law_headings=["Prologue"]))
regime_outre_mer_l751_1_56 = log_variable_definition(["PrestationsFamiliales",
"régime_outre_mer_l751_1"], local_var_57)
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_R.catala_fr",
start_line=216, start_column=18, end_line=216, end_column=41,
law_headings=["Article R755-0-2",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Départements d'outre-mer",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie réglementaire - Décrets en Conseil d'Etat",
"Code de la sécurité sociale"]), regime_outre_mer_l751_1_56):
local_var_59 = ((smic_dot_brut_horaire_55 *
decimal_of_string("0.55")) * decimal_of_string("169."))
else:
raise EmptyError
except EmptyError:
local_var_59 = ((smic_dot_brut_horaire_55 *
decimal_of_string("0.55")) * decimal_of_string("169."))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=67, start_column=11, end_line=67, end_column=27,
law_headings=["Prologue"]))
plafond_l512_3_2_58 = log_variable_definition(["PrestationsFamiliales",
"plafond_l512_3_2"], local_var_59)
try:
def local_var_61(param_62: Enfant):
try:
try:
match_arg_529 = param_62.obligation_scolaire
if match_arg_529.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_529.value
local_var_63 = True
elif match_arg_529.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_529.value
local_var_63 = False
elif match_arg_529.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_529.value
local_var_63 = False
match_arg_530 = param_62.obligation_scolaire
if match_arg_530.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_530.value
local_var_71 = False
elif match_arg_530.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_530.value
local_var_71 = False
elif match_arg_530.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_530.value
local_var_71 = True
match_arg_531 = param_62.obligation_scolaire
if match_arg_531.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_531.value
local_var_67 = False
elif match_arg_531.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_531.value
local_var_67 = True
elif match_arg_531.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_531.value
local_var_67 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=68, start_column=5,
end_line=71, end_column=57,
law_headings=["Article L512-3",
"Chapitre 2 : Champ d'application",
"Titre 1 : Champ d'application - Généralités",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), ((local_var_63 or
(local_var_67 or local_var_71)) and
(param_62.remuneration_mensuelle <=
plafond_l512_3_2_58))):
return True
else:
raise EmptyError
except EmptyError:
return False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=66, start_column=10, end_line=66,
end_column=29, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=66, start_column=10, end_line=66, end_column=29,
law_headings=["Prologue"]))
conditions_hors_age_60 = log_variable_definition(["PrestationsFamiliales",
"conditions_hors_âge"], local_var_61)
try:
def local_var_76(param_77: Enfant):
try:
def local_var_84(_: Any):
match_arg_532 = param_77.obligation_scolaire
if match_arg_532.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_532.value
local_var_90 = False
elif match_arg_532.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_532.value
local_var_90 = True
elif match_arg_532.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_532.value
local_var_90 = False
match_arg_533 = param_77.obligation_scolaire
if match_arg_533.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_533.value
local_var_86 = True
elif match_arg_533.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_533.value
local_var_86 = False
elif match_arg_533.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_533.value
local_var_86 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=49, start_column=5,
end_line=50, end_column=50,
law_headings=["Article L512-3",
"Chapitre 2 : Champ d'application",
"Titre 1 : Champ d'application - Généralités",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), (local_var_86 or
local_var_90)):
return True
else:
raise EmptyError
def local_var_78(_: Any):
match_arg_534 = param_77.obligation_scolaire
if match_arg_534.code == SituationObligationScolaire_Code.Avant:
_ = match_arg_534.value
local_var_80 = False
elif match_arg_534.code == SituationObligationScolaire_Code.Pendant:
_ = match_arg_534.value
local_var_80 = False
elif match_arg_534.code == SituationObligationScolaire_Code.Apres:
_ = match_arg_534.value
local_var_80 = True
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=60, start_column=5,
end_line=62, end_column=32,
law_headings=["Article L512-3",
"Chapitre 2 : Champ d'application",
"Titre 1 : Champ d'application - Généralités",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), (local_var_80 and
((param_77.remuneration_mensuelle <=
plafond_l512_3_2_58) and (param_77.age <
age_l512_3_2_36)))):
return True
else:
raise EmptyError
def local_var_94(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=65, start_column=10,
end_line=65, end_column=22,
law_headings=["Prologue"]), True)
def local_var_96(_: Any):
return False
return handle_default([local_var_78, local_var_84],
local_var_94, local_var_96)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=65, start_column=10, end_line=65,
end_column=22, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=65, start_column=10, end_line=65, end_column=22,
law_headings=["Prologue"]))
droit_ouvert_75 = log_variable_definition(["PrestationsFamiliales",
"droit_ouvert"], local_var_76)
return PrestationsFamilialesOut(droit_ouvert_out=droit_ouvert_75,
conditions_hors_age_out=conditions_hors_age_60,
age_l512_3_2_out=age_l512_3_2_36,
regime_outre_mer_l751_1_out=regime_outre_mer_l751_1_56,
base_mensuelle_out=base_mensuelle_38)
def allocations_familiales(allocations_familiales_in_98: AllocationsFamilialesIn):
personne_charge_effective_permanente_est_parent_99 = allocations_familiales_in_98.personne_charge_effective_permanente_est_parent_in
personne_charge_effective_permanente_remplit_titre__i_100 = allocations_familiales_in_98.personne_charge_effective_permanente_remplit_titre_I_in
ressources_menage_101 = allocations_familiales_in_98.ressources_menage_in
residence_102 = allocations_familiales_in_98.residence_in
date_courante_103 = allocations_familiales_in_98.date_courante_in
enfants_a_charge_104 = allocations_familiales_in_98.enfants_a_charge_in
avait_enfant_a_charge_avant_1er_janvier_2012_105 = allocations_familiales_in_98.avait_enfant_a_charge_avant_1er_janvier_2012_in
try:
def local_var_107(param_108: Enfant):
try:
def local_var_141(_: Any):
match_arg_535 = param_108.prise_en_charge
if match_arg_535.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_535.value
local_var_143 = False
elif match_arg_535.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_535.value
local_var_143 = False
elif match_arg_535.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_535.value
local_var_143 = True
elif match_arg_535.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_535.value
local_var_143 = False
elif match_arg_535.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_535.value
local_var_143 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=184, start_column=5,
end_line=184, end_column=60,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_143):
return PriseEnCompte(PriseEnCompte_Code.Complete,
Unit())
else:
raise EmptyError
def local_var_133(_: Any):
match_arg_536 = param_108.prise_en_charge
if match_arg_536.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_536.value
local_var_135 = False
elif match_arg_536.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_536.value
local_var_135 = True
elif match_arg_536.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_536.value
local_var_135 = False
elif match_arg_536.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_536.value
local_var_135 = False
elif match_arg_536.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_536.value
local_var_135 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=204, start_column=5,
end_line=204, end_column=69,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_135):
return PriseEnCompte(PriseEnCompte_Code.Complete,
Unit())
else:
raise EmptyError
def local_var_125(_: Any):
match_arg_537 = param_108.prise_en_charge
if match_arg_537.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_537.value
local_var_127 = True
elif match_arg_537.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_537.value
local_var_127 = False
elif match_arg_537.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_537.value
local_var_127 = False
elif match_arg_537.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_537.value
local_var_127 = False
elif match_arg_537.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_537.value
local_var_127 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=214, start_column=5,
end_line=214, end_column=70,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_127):
return PriseEnCompte(PriseEnCompte_Code.Partagee,
Unit())
else:
raise EmptyError
def local_var_117(_: Any):
match_arg_538 = param_108.prise_en_charge
if match_arg_538.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_538.value
local_var_119 = False
elif match_arg_538.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_538.value
local_var_119 = False
elif match_arg_538.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_538.value
local_var_119 = False
elif match_arg_538.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_538.value
local_var_119 = False
elif match_arg_538.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_538.value
local_var_119 = True
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=253, start_column=5,
end_line=254, end_column=56,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_119):
return PriseEnCompte(PriseEnCompte_Code.Zero, Unit())
else:
raise EmptyError
def local_var_109(_: Any):
match_arg_539 = param_108.prise_en_charge
if match_arg_539.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_539.value
local_var_111 = False
elif match_arg_539.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_539.value
local_var_111 = False
elif match_arg_539.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_539.value
local_var_111 = False
elif match_arg_539.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_539.value
local_var_111 = True
elif match_arg_539.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_539.value
local_var_111 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=263, start_column=5,
end_line=264, end_column=48,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_111):
return PriseEnCompte(PriseEnCompte_Code.Complete,
Unit())
else:
raise EmptyError
def local_var_149(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=102, start_column=11,
end_line=102, end_column=26,
law_headings=["Prologue"]), True)
def local_var_151(_: Any):
raise EmptyError
return handle_default([local_var_109, local_var_117,
local_var_125, local_var_133, local_var_141],
local_var_149, local_var_151)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=102, start_column=11, end_line=102,
end_column=26, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=102, start_column=11, end_line=102, end_column=26,
law_headings=["Prologue"]))
prise_en_compte_106 = log_variable_definition(["AllocationsFamiliales",
"prise_en_compte"], local_var_107)
try:
def local_var_154(param_155: Enfant):
try:
def local_var_188(_: Any):
match_arg_540 = param_155.prise_en_charge
if match_arg_540.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_540.value
local_var_190 = False
elif match_arg_540.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_540.value
local_var_190 = False
elif match_arg_540.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_540.value
local_var_190 = True
elif match_arg_540.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_540.value
local_var_190 = False
elif match_arg_540.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_540.value
local_var_190 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=188, start_column=5,
end_line=188, end_column=60,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_190):
return VersementAllocations(VersementAllocations_Code.Normal,
Unit())
else:
raise EmptyError
def local_var_180(_: Any):
match_arg_541 = param_155.prise_en_charge
if match_arg_541.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_541.value
local_var_182 = False
elif match_arg_541.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_541.value
local_var_182 = True
elif match_arg_541.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_541.value
local_var_182 = False
elif match_arg_541.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_541.value
local_var_182 = False
elif match_arg_541.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_541.value
local_var_182 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=208, start_column=5,
end_line=208, end_column=69,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_182):
return VersementAllocations(VersementAllocations_Code.Normal,
Unit())
else:
raise EmptyError
def local_var_172(_: Any):
match_arg_542 = param_155.prise_en_charge
if match_arg_542.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_542.value
local_var_174 = True
elif match_arg_542.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_542.value
local_var_174 = False
elif match_arg_542.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_542.value
local_var_174 = False
elif match_arg_542.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_542.value
local_var_174 = False
elif match_arg_542.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_542.value
local_var_174 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=218, start_column=5,
end_line=218, end_column=70,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_174):
return VersementAllocations(VersementAllocations_Code.Normal,
Unit())
else:
raise EmptyError
def local_var_164(_: Any):
match_arg_543 = param_155.prise_en_charge
if match_arg_543.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_543.value
local_var_166 = False
elif match_arg_543.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_543.value
local_var_166 = False
elif match_arg_543.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_543.value
local_var_166 = False
elif match_arg_543.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_543.value
local_var_166 = False
elif match_arg_543.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_543.value
local_var_166 = True
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=258, start_column=5,
end_line=259, end_column=56,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_166):
return VersementAllocations(VersementAllocations_Code.AllocationVerseeAuxServicesSociaux,
Unit())
else:
raise EmptyError
def local_var_156(_: Any):
match_arg_544 = param_155.prise_en_charge
if match_arg_544.code == PriseEnCharge_Code.GardeAlterneePartageAllocations:
_ = match_arg_544.value
local_var_158 = False
elif match_arg_544.code == PriseEnCharge_Code.GardeAlterneeAllocataireUnique:
_ = match_arg_544.value
local_var_158 = False
elif match_arg_544.code == PriseEnCharge_Code.EffectiveEtPermanente:
_ = match_arg_544.value
local_var_158 = False
elif match_arg_544.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeALaFamille:
_ = match_arg_544.value
local_var_158 = True
elif match_arg_544.code == PriseEnCharge_Code.ServicesSociauxAllocationVerseeAuxServicesSociaux:
_ = match_arg_544.value
local_var_158 = False
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=269, start_column=5,
end_line=270, end_column=48,
law_headings=["Article L521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), local_var_158):
return VersementAllocations(VersementAllocations_Code.Normal,
Unit())
else:
raise EmptyError
def local_var_196(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=103, start_column=11,
end_line=103, end_column=20,
law_headings=["Prologue"]), True)
def local_var_198(_: Any):
raise EmptyError
return handle_default([local_var_156, local_var_164,
local_var_172, local_var_180, local_var_188],
local_var_196, local_var_198)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=103, start_column=11, end_line=103,
end_column=20, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=103, start_column=11, end_line=103, end_column=20,
law_headings=["Prologue"]))
versement_153 = log_variable_definition(["AllocationsFamiliales",
"versement"], local_var_154)
try:
local_var_201 = integer_of_string("3")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=151, start_column=11, end_line=151, end_column=32,
law_headings=["Prologue"]))
nombre_enfants_l521_1_200 = log_variable_definition(["AllocationsFamiliales",
"nombre_enfants_l521_1"], local_var_201)
try:
local_var_203 = integer_of_string("3")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=153, start_column=11, end_line=153, end_column=41,
law_headings=["Prologue"]))
nombre_enfants_alinea_2_l521_3_202 = log_variable_definition(["AllocationsFamiliales",
"nombre_enfants_alinéa_2_l521_3"], local_var_203)
result_204 = log_end_call(["AllocationsFamiliales", "version_avril_2008",
"AllocationFamilialesAvril2008"],
log_begin_call(["AllocationsFamiliales", "version_avril_2008",
"AllocationFamilialesAvril2008"], allocation_familiales_avril2008,
AllocationFamilialesAvril2008In()))
version_avril_2008_dot_age_minimum_alinea_1_l521_3_205 = result_204.age_minimum_alinea_1_l521_3_out
try:
local_var_207 = log_variable_definition(["AllocationsFamiliales",
"prestations_familiales.date_courante"], date_courante_103)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=70, start_column=10, end_line=70, end_column=23,
law_headings=["Prologue"]))
prestations_familiales_dot_date_courante_206 = local_var_207
try:
local_var_209 = log_variable_definition(["AllocationsFamiliales",
"prestations_familiales.prestation_courante"],
ElementPrestationsFamiliales(ElementPrestationsFamiliales_Code.AllocationsFamiliales,
Unit()))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=71, start_column=10, end_line=71, end_column=29,
law_headings=["Prologue"]))
prestations_familiales_dot_prestation_courante_208 = local_var_209
try:
local_var_211 = log_variable_definition(["AllocationsFamiliales",
"prestations_familiales.résidence"], residence_102)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=72, start_column=10, end_line=72, end_column=19,
law_headings=["Prologue"]))
prestations_familiales_dot_residence_210 = local_var_211
result_212 = log_end_call(["AllocationsFamiliales",
"prestations_familiales", "PrestationsFamiliales"],
log_begin_call(["AllocationsFamiliales", "prestations_familiales",
"PrestationsFamiliales"], prestations_familiales,
PrestationsFamilialesIn(date_courante_in=prestations_familiales_dot_date_courante_206,
prestation_courante_in=prestations_familiales_dot_prestation_courante_208,
residence_in=prestations_familiales_dot_residence_210)))
prestations_familiales_dot_droit_ouvert_213 = result_212.droit_ouvert_out
prestations_familiales_dot_conditions_hors_age_214 = result_212.conditions_hors_age_out
prestations_familiales_dot_age_l512_3_2_215 = result_212.age_l512_3_2_out
prestations_familiales_dot_regime_outre_mer_l751_1_216 = result_212.regime_outre_mer_l751_1_out
prestations_familiales_dot_base_mensuelle_217 = result_212.base_mensuelle_out
try:
local_var_219 = log_variable_definition(["AllocationsFamiliales",
"enfant_le_plus_âgé.enfants"], enfants_a_charge_104)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=84, start_column=10, end_line=84, end_column=17,
law_headings=["Prologue"]))
enfant_le_plus_age_dot_enfants_218 = local_var_219
result_220 = log_end_call(["AllocationsFamiliales",
"enfant_le_plus_âgé", "EnfantLePlusÂgé"],
log_begin_call(["AllocationsFamiliales", "enfant_le_plus_âgé",
"EnfantLePlusÂgé"], enfant_le_plus_age,
EnfantLePlusAgeIn(enfants_in=enfant_le_plus_age_dot_enfants_218)))
enfant_le_plus_age_dot_le_plus_age_221 = result_220.le_plus_age_out
try:
def local_var_223(param_224: Enfant):
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_R.catala_fr",
start_line=83, start_column=19,
end_line=83, end_column=69,
law_headings=["Article R521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets en Conseil d'Etat",
"Code de la sécurité sociale"]), ((param_224.date_de_naissance +
duration_of_numbers(11, 0, 0)) <=
date_of_numbers(2008, 4, 30))):
return version_avril_2008_dot_age_minimum_alinea_1_l521_3_205
else:
raise EmptyError
except EmptyError:
return integer_of_string("14")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=152, start_column=11, end_line=152,
end_column=38, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=152, start_column=11, end_line=152, end_column=38,
law_headings=["Prologue"]))
age_minimum_alinea_1_l521_3_222 = log_variable_definition(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3"], local_var_223)
try:
def local_var_227(enfant_228: Any):
return log_end_call(["PrestationsFamiliales", "droit_ouvert"],
log_variable_definition(["PrestationsFamiliales",
"droit_ouvert", "output"],
log_begin_call(["PrestationsFamiliales", "droit_ouvert"],
prestations_familiales_dot_droit_ouvert_213,
log_variable_definition(["PrestationsFamiliales",
"droit_ouvert", "input"], enfant_228))))
local_var_226 = list_filter(local_var_227, enfants_a_charge_104)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=100, start_column=11, end_line=100, end_column=61,
law_headings=["Prologue"]))
enfants_a_charge_droit_ouvert_prestation_familiale_225 = log_variable_definition(["AllocationsFamiliales",
"enfants_à_charge_droit_ouvert_prestation_familiale"],
local_var_226)
try:
def local_var_230(param_231: Enfant):
try:
return (enfant_le_plus_age_dot_le_plus_age_221 == param_231)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=154, start_column=11, end_line=154,
end_column=33, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=154, start_column=11, end_line=154, end_column=33,
law_headings=["Prologue"]))
est_enfant_le_plus_age_229 = log_variable_definition(["AllocationsFamiliales",
"est_enfant_le_plus_âgé"], local_var_230)
try:
def local_var_240(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=94, start_column=5, end_line=94, end_column=69,
law_headings=["Circulaire interministérielle N° DSS/SD2B/2017/352 du 22 décembre 2017 relative à la revalorisation au 1er janvier 2018 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à la Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2018, 1, 1)) and (date_courante_103 <=
date_of_numbers(2018, 12, 31)))):
return (money_of_cents_string("7877000") +
(money_of_cents_string("562800") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_238(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=127, start_column=5, end_line=127, end_column=69,
law_headings=["Instruction interministérielle n° DSS/SD2B/2018/279 du 17 décembre 2018 relative à la revalorisation au 1er janvier 2019 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à la Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2019, 1, 1)) and (date_courante_103 <=
date_of_numbers(2019, 12, 31)))):
return (money_of_cents_string("7955800") +
(money_of_cents_string("568400") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_236(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=160, start_column=5, end_line=160, end_column=69,
law_headings=["Instruction interministerielle no DSS/SD2B/2019/261 du 18 décembre 2019 relative à la revalorisation au 1er janvier 2020 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à La Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2020, 1, 1)) and (date_courante_103 <=
date_of_numbers(2020, 12, 31)))):
return (money_of_cents_string("8083100") +
(money_of_cents_string("577500") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_234(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=196, start_column=5, end_line=196, end_column=69,
law_headings=["Article 1",
"Arrêté du 14 décembre 2020 relatif au montant des plafonds de ressources de certaines prestations familiales et aux tranches du barème applicable au recouvrement des indus et à la saisie des prestations",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2021, 1, 1)) and (date_courante_103 <=
date_of_numbers(2021, 12, 31)))):
return (money_of_cents_string("8155800") +
(money_of_cents_string("582700") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_242(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=156, start_column=11, end_line=156, end_column=28,
law_headings=["Prologue"]), True)
def local_var_244(_: Any):
return (money_of_cents_string("7830000") +
(money_of_cents_string("559500") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
local_var_233 = handle_default([local_var_234, local_var_236,
local_var_238, local_var_240], local_var_242, local_var_244)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=156, start_column=11, end_line=156, end_column=28,
law_headings=["Prologue"]))
plafond__i_i_d521_3_232 = log_variable_definition(["AllocationsFamiliales",
"plafond_II_d521_3"], local_var_233)
try:
def local_var_254(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=87, start_column=5, end_line=87, end_column=69,
law_headings=["Circulaire interministérielle N° DSS/SD2B/2017/352 du 22 décembre 2017 relative à la revalorisation au 1er janvier 2018 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à la Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2018, 1, 1)) and (date_courante_103 <=
date_of_numbers(2018, 12, 31)))):
return (money_of_cents_string("5628600") +
(money_of_cents_string("562800") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_252(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=120, start_column=5, end_line=120, end_column=69,
law_headings=["Instruction interministérielle n° DSS/SD2B/2018/279 du 17 décembre 2018 relative à la revalorisation au 1er janvier 2019 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à la Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2019, 1, 1)) and (date_courante_103 <=
date_of_numbers(2019, 12, 31)))):
return (money_of_cents_string("5684900") +
(money_of_cents_string("568400") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_250(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=153, start_column=5, end_line=153, end_column=69,
law_headings=["Instruction interministerielle no DSS/SD2B/2019/261 du 18 décembre 2019 relative à la revalorisation au 1er janvier 2020 des plafonds de ressources d’attribution de certaines prestations familiales servies en métropole, en Guadeloupe, en Guyane, en Martinique, à La Réunion, à Saint-Barthélemy, à Saint-Martin et à Mayotte",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2020, 1, 1)) and (date_courante_103 <=
date_of_numbers(2020, 12, 31)))):
return (money_of_cents_string("5775900") +
(money_of_cents_string("577500") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_248(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=180, start_column=5, end_line=180, end_column=69,
law_headings=["Article 1",
"Arrêté du 14 décembre 2020 relatif au montant des plafonds de ressources de certaines prestations familiales et aux tranches du barème applicable au recouvrement des indus et à la saisie des prestations",
"Montant des plafonds de ressources",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2021, 1, 1)) and (date_courante_103 <=
date_of_numbers(2021, 12, 31)))):
return (money_of_cents_string("5827900") +
(money_of_cents_string("582700") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
else:
raise EmptyError
def local_var_256(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=155, start_column=11, end_line=155, end_column=27,
law_headings=["Prologue"]), True)
def local_var_258(_: Any):
return (money_of_cents_string("5595000") +
(money_of_cents_string("559500") *
decimal_of_integer(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225))))
local_var_247 = handle_default([local_var_248, local_var_250,
local_var_252, local_var_254], local_var_256, local_var_258)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=155, start_column=11, end_line=155, end_column=27,
law_headings=["Prologue"]))
plafond__i_d521_3_246 = log_variable_definition(["AllocationsFamiliales",
"plafond_I_d521_3"], local_var_247)
try:
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=426, start_column=5,
end_line=427, end_column=71,
law_headings=["Article L755-12",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Dispositions particulières à la Guadeloupe, à la Guyane, à la Martinique, à La Réunion, à Saint-Barthélemy et à Saint-Martin",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie législative",
"Code de la sécurité sociale"]), (prestations_familiales_dot_regime_outre_mer_l751_1_216 and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")))):
local_var_261 = False
else:
raise EmptyError
except EmptyError:
local_var_261 = True
except EmptyError:
local_var_261 = False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=139, start_column=11, end_line=139, end_column=34,
law_headings=["Prologue"]))
droit_ouvert_complement_260 = log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_complément"], local_var_261)
try:
def local_var_263(param_264: Enfant):
try:
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=420, start_column=6,
end_line=421, end_column=72,
law_headings=["Article L755-12",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Dispositions particulières à la Guadeloupe, à la Guyane, à la Martinique, à La Réunion, à Saint-Barthélemy et à Saint-Martin",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie législative",
"Code de la sécurité sociale"]), (prestations_familiales_dot_regime_outre_mer_l751_1_216 and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")))):
return False
else:
raise EmptyError
except EmptyError:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=119, start_column=5,
end_line=125, end_column=59,
law_headings=["Article L521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), ((list_length(enfants_a_charge_104) >=
nombre_enfants_alinea_2_l521_3_202) and
((param_264.age ==
prestations_familiales_dot_age_l512_3_2_215) and
(param_264.a_deja_ouvert_droit_aux_allocations_familiales and
log_end_call(["PrestationsFamiliales",
"conditions_hors_âge"],
log_variable_definition(["PrestationsFamiliales",
"conditions_hors_âge", "output"],
log_begin_call(["PrestationsFamiliales",
"conditions_hors_âge"],
prestations_familiales_dot_conditions_hors_age_214,
log_variable_definition(["PrestationsFamiliales",
"conditions_hors_âge", "input"],
param_264)))))))):
return True
else:
raise EmptyError
except EmptyError:
return False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=127, start_column=11, end_line=127,
end_column=35, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=127, start_column=11, end_line=127, end_column=35,
law_headings=["Prologue"]))
droit_ouvert_forfaitaire_262 = log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_forfaitaire"], local_var_263)
try:
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("3")):
local_var_266 = ((prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0463")) *
decimal_of_integer((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) -
integer_of_string("3"))))
else:
local_var_266 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=124, start_column=11, end_line=124, end_column=64,
law_headings=["Prologue"]))
montant_initial_base_quatrieme_enfant_et_plus_mayotte_265 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_quatrième_enfant_et_plus_mayotte"],
local_var_266)
try:
def local_var_287(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=584, start_column=5, end_line=584, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2011, 1, 1)) and (date_courante_103 <=
date_of_numbers(2011, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0463"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_285(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=591, start_column=5, end_line=591, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2012, 1, 1)) and (date_courante_103 <=
date_of_numbers(2012, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0539"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_283(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=598, start_column=5, end_line=598, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2013, 1, 1)) and (date_courante_103 <=
date_of_numbers(2013, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.075"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_281(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=605, start_column=5, end_line=605, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2014, 1, 1)) and (date_courante_103 <=
date_of_numbers(2014, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.069"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_279(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=612, start_column=5, end_line=612, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2015, 1, 1)) and (date_courante_103 <=
date_of_numbers(2015, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0766"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_277(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=619, start_column=5, end_line=619, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2016, 1, 1)) and (date_courante_103 <=
date_of_numbers(2016, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0842"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_275(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=626, start_column=5, end_line=626, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2017, 1, 1)) and (date_courante_103 <=
date_of_numbers(2017, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0918"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_273(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=633, start_column=5, end_line=633, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2018, 1, 1)) and (date_courante_103 <=
date_of_numbers(2018, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1089"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_271(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=640, start_column=5, end_line=640, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2019, 1, 1)) and (date_courante_103 <=
date_of_numbers(2019, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1259"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_269(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=647, start_column=5, end_line=647, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2020, 1, 1)) and (date_courante_103 <=
date_of_numbers(2020, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.143"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_289(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=123, start_column=11, end_line=123, end_column=56,
law_headings=["Prologue"]), True)
def local_var_291(_: Any):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.16"))
else:
return money_of_cents_string("0")
local_var_268 = handle_default([local_var_269, local_var_271,
local_var_273, local_var_275, local_var_277, local_var_279,
local_var_281, local_var_283, local_var_285, local_var_287],
local_var_289, local_var_291)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=123, start_column=11, end_line=123, end_column=56,
law_headings=["Prologue"]))
montant_initial_base_troisieme_enfant_mayotte_267 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_troisième_enfant_mayotte"], local_var_268)
try:
def local_var_313(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=513, start_column=5, end_line=513, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2011, 1, 1)) and (date_courante_103 <=
date_of_numbers(2011, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.232"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_311(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=520, start_column=5, end_line=520, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2012, 1, 1)) and (date_courante_103 <=
date_of_numbers(2012, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2379"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_309(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=527, start_column=5, end_line=527, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2013, 1, 1)) and (date_courante_103 <=
date_of_numbers(2013, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2437"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_307(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=534, start_column=5, end_line=534, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2014, 1, 1)) and (date_courante_103 <=
date_of_numbers(2014, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2496"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_305(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=541, start_column=5, end_line=541, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2015, 1, 1)) and (date_courante_103 <=
date_of_numbers(2015, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2555"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_303(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=548, start_column=5, end_line=548, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2016, 1, 1)) and (date_courante_103 <=
date_of_numbers(2016, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.273"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_301(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=555, start_column=5, end_line=555, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2017, 1, 1)) and (date_courante_103 <=
date_of_numbers(2017, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2672"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_299(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=562, start_column=5, end_line=562, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2018, 1, 1)) and (date_courante_103 <=
date_of_numbers(2018, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.284"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_297(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=569, start_column=5, end_line=569, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2019, 1, 1)) and (date_courante_103 <=
date_of_numbers(2019, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.2936"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_295(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=576, start_column=5, end_line=576, end_column=69,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2020, 1, 1)) and (date_courante_103 <=
date_of_numbers(2020, 12, 31)))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.3068"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_315(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=122, start_column=11, end_line=122, end_column=55,
law_headings=["Prologue"]), True)
def local_var_317(_: Any):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.32"))
else:
return money_of_cents_string("0")
local_var_294 = handle_default([local_var_295, local_var_297,
local_var_299, local_var_301, local_var_303, local_var_305,
local_var_307, local_var_309, local_var_311, local_var_313],
local_var_315, local_var_317)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=122, start_column=11, end_line=122, end_column=55,
law_headings=["Prologue"]))
montant_initial_base_deuxieme_enfant_mayotte_293 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_deuxième_enfant_mayotte"], local_var_294)
try:
def local_var_341(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=425, start_column=5, end_line=426, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2011, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2011, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.145"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_339(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=433, start_column=5, end_line=434, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2012, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2012, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1393"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_337(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=441, start_column=5, end_line=442, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2013, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2013, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1335"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_335(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=449, start_column=5, end_line=450, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2014, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2014, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1278"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_333(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=457, start_column=5, end_line=458, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2015, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2015, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.122"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_331(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=465, start_column=5, end_line=466, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2016, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2016, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1163"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_329(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=473, start_column=5, end_line=474, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2017, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2017, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.115"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_327(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=481, start_column=5, end_line=482, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2018, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2018, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0976"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_325(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=489, start_column=5, end_line=490, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2019, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2019, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0847"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_323(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=497, start_column=5, end_line=498, end_column=53,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((date_courante_103 >=
date_of_numbers(2020, 1, 1)) and ((date_courante_103 <=
date_of_numbers(2020, 12, 31)) and
not avait_enfant_a_charge_avant_1er_janvier_2012_105))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0717"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_321(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=505, start_column=5, end_line=505, end_column=49,
law_headings=["Annexe",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), avait_enfant_a_charge_avant_1er_janvier_2012_105):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return money_of_cents_string("5728")
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_343(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=121, start_column=11, end_line=121, end_column=54,
law_headings=["Prologue"]), True)
def local_var_345(_: Any):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("0")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0588"))
else:
return money_of_cents_string("0")
local_var_320 = handle_default([local_var_321, local_var_323,
local_var_325, local_var_327, local_var_329, local_var_331,
local_var_333, local_var_335, local_var_337, local_var_339,
local_var_341], local_var_343, local_var_345)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=121, start_column=11, end_line=121, end_column=54,
law_headings=["Prologue"]))
montant_initial_base_premier_enfant_mayotte_319 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_premier_enfant_mayotte"], local_var_320)
try:
local_var_348 = decimal_of_integer(list_length(
enfants_a_charge_droit_ouvert_prestation_familiale_225))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=115, start_column=11, end_line=115, end_column=31,
law_headings=["Prologue"]))
nombre_total_enfants_347 = log_variable_definition(["AllocationsFamiliales",
"nombre_total_enfants"], local_var_348)
try:
def local_var_351(acc_352: Decimal, enfant_353: Any):
match_arg_545 = log_end_call(["AllocationsFamiliales",
"prise_en_compte"],
log_variable_definition(["AllocationsFamiliales",
"prise_en_compte", "output"],
log_begin_call(["AllocationsFamiliales", "prise_en_compte"],
prise_en_compte_106,
log_variable_definition(["AllocationsFamiliales",
"prise_en_compte", "input"],
enfant_353))))
if match_arg_545.code == PriseEnCompte_Code.Complete:
_ = match_arg_545.value
local_var_354 = decimal_of_string("1.")
elif match_arg_545.code == PriseEnCompte_Code.Partagee:
_ = match_arg_545.value
local_var_354 = decimal_of_string("0.5")
elif match_arg_545.code == PriseEnCompte_Code.Zero:
_ = match_arg_545.value
local_var_354 = decimal_of_string("0.")
return (acc_352 + local_var_354)
local_var_350 = list_fold_left(local_var_351,
decimal_of_string("0."),
enfants_a_charge_droit_ouvert_prestation_familiale_225)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=114, start_column=11, end_line=114, end_column=31,
law_headings=["Prologue"]))
nombre_moyen_enfants_349 = log_variable_definition(["AllocationsFamiliales",
"nombre_moyen_enfants"], local_var_350)
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=359, start_column=5, end_line=360, end_column=71,
law_headings=["Article D755-5",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Départements d'outre-mer",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (prestations_familiales_dot_regime_outre_mer_l751_1_216 and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")))):
local_var_359 = (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0588"))
else:
raise EmptyError
except EmptyError:
local_var_359 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=110, start_column=11, end_line=110, end_column=46,
law_headings=["Prologue"]))
montant_initial_base_premier_enfant_358 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_premier_enfant"], local_var_359)
try:
try:
def local_var_364(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=406, start_column=5,
end_line=407, end_column=72,
law_headings=["Article L755-12",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Dispositions particulières à la Guadeloupe, à la Guyane, à la Martinique, à La Réunion, à Saint-Barthélemy et à Saint-Martin",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie législative",
"Code de la sécurité sociale"]), (prestations_familiales_dot_regime_outre_mer_l751_1_216 and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >=
integer_of_string("1")))):
return True
else:
raise EmptyError
def local_var_362(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=344, start_column=5,
end_line=345, end_column=72, law_headings=["Article 7",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), ((residence_102 ==
Collectivite(Collectivite_Code.Mayotte, Unit())) and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >=
integer_of_string("1")))):
return True
else:
raise EmptyError
def local_var_366(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=108, start_column=11,
end_line=108, end_column=28,
law_headings=["Prologue"]), True)
def local_var_368(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=101, start_column=5,
end_line=101, end_column=70,
law_headings=["Article L521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >=
integer_of_string("2"))):
return True
else:
raise EmptyError
local_var_361 = handle_default([local_var_362, local_var_364],
local_var_366, local_var_368)
except EmptyError:
local_var_361 = False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=108, start_column=11, end_line=108, end_column=28,
law_headings=["Prologue"]))
droit_ouvert_base_360 = log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_base"], local_var_361)
try:
def local_var_371(param_372: Enfant):
try:
try:
try:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=313, start_column=5,
end_line=315, end_column=58,
law_headings=["Article L521-3",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), ((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >=
nombre_enfants_alinea_2_l521_3_202) and
(param_372.age >=
log_end_call(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3"],
log_variable_definition(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3", "output"],
log_begin_call(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3"],
age_minimum_alinea_1_l521_3_222,
log_variable_definition(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3", "input"],
param_372))))))):
return True
else:
raise EmptyError
except EmptyError:
if log_decision_taken(SourcePosition(filename="./securite_sociale_L.catala_fr",
start_line=299, start_column=5,
end_line=300, end_column=58,
law_headings=["Article L521-3",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie législative",
"Code de la sécurité sociale"]), (not log_end_call(["AllocationsFamiliales",
"est_enfant_le_plus_âgé"],
log_variable_definition(["AllocationsFamiliales",
"est_enfant_le_plus_âgé", "output"],
log_begin_call(["AllocationsFamiliales",
"est_enfant_le_plus_âgé"],
est_enfant_le_plus_age_229,
log_variable_definition(["AllocationsFamiliales",
"est_enfant_le_plus_âgé", "input"],
param_372)))) and (param_372.age >=
log_end_call(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3"],
log_variable_definition(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3", "output"],
log_begin_call(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3"],
age_minimum_alinea_1_l521_3_222,
log_variable_definition(["AllocationsFamiliales",
"âge_minimum_alinéa_1_l521_3", "input"],
param_372))))))):
return True
else:
raise EmptyError
except EmptyError:
return False
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=132, start_column=11, end_line=132,
end_column=34, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=132, start_column=11, end_line=132, end_column=34,
law_headings=["Prologue"]))
droit_ouvert_majoration_370 = log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration"], local_var_371)
try:
def local_var_374(param_375: Money):
try:
def local_var_378(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=162, start_column=5,
end_line=163, end_column=68,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
(plafond__i_d521_3_246 + (param_375 *
decimal_of_string("12.")))))):
return ((plafond__i_d521_3_246 + ((param_375 *
decimal_of_string("12.")) -
ressources_menage_101)) *
(decimal_of_string("1.") /
decimal_of_string("12.")))
else:
raise EmptyError
def local_var_376(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=170, start_column=5,
end_line=171, end_column=68,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_i_d521_3_232) and
(ressources_menage_101 <= (plafond__i_i_d521_3_232 +
(param_375 *
decimal_of_string("12.")))))):
return ((plafond__i_i_d521_3_232 + ((param_375 *
decimal_of_string("12.")) -
ressources_menage_101)) *
(decimal_of_string("1.") /
decimal_of_string("12.")))
else:
raise EmptyError
def local_var_380(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=141, start_column=11,
end_line=141, end_column=31,
law_headings=["Prologue"]), True)
def local_var_382(_: Any):
return money_of_cents_string("0")
return handle_default([local_var_376, local_var_378],
local_var_380, local_var_382)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=141, start_column=11, end_line=141,
end_column=31, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=141, start_column=11, end_line=141, end_column=31,
law_headings=["Prologue"]))
complement_degressif_373 = log_variable_definition(["AllocationsFamiliales",
"complément_dégressif"], local_var_374)
try:
def local_var_390(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=215, start_column=5, end_line=215, end_column=43,
law_headings=["Article D521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 <=
plafond__i_d521_3_246)):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.20234"))
else:
raise EmptyError
def local_var_388(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=229, start_column=5, end_line=230, end_column=46,
law_headings=["Article D521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
plafond__i_i_d521_3_232))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1117"))
else:
raise EmptyError
def local_var_386(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=243, start_column=5, end_line=243, end_column=43,
law_headings=["Article D521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 >
plafond__i_i_d521_3_232)):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0559"))
else:
raise EmptyError
def local_var_392(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=128, start_column=11, end_line=128, end_column=47,
law_headings=["Prologue"]), True)
def local_var_394(_: Any):
raise EmptyError
local_var_385 = handle_default([local_var_386, local_var_388,
local_var_390], local_var_392, local_var_394)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=128, start_column=11, end_line=128, end_column=47,
law_headings=["Prologue"]))
montant_verse_forfaitaire_par_enfant_384 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_forfaitaire_par_enfant"], local_var_385)
try:
def local_var_402(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=35, start_column=3, end_line=35, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 <=
plafond__i_d521_3_246)):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return ((prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.41")) *
decimal_of_integer((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) -
integer_of_string("2"))))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_400(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=74, start_column=3, end_line=75, end_column=44,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
plafond__i_i_d521_3_232))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return ((prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.205")) *
decimal_of_integer((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) -
integer_of_string("2"))))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_398(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=113, start_column=3, end_line=113, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 >
plafond__i_i_d521_3_232)):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("2")):
return ((prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.1025")) *
decimal_of_integer((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) -
integer_of_string("2"))))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_404(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=112, start_column=11, end_line=112, end_column=56,
law_headings=["Prologue"]), True)
def local_var_406(_: Any):
raise EmptyError
local_var_397 = handle_default([local_var_398, local_var_400,
local_var_402], local_var_404, local_var_406)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=112, start_column=11, end_line=112, end_column=56,
law_headings=["Prologue"]))
montant_initial_base_troisieme_enfant_et_plus_396 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_troisième_enfant_et_plus"], local_var_397)
try:
def local_var_414(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=35, start_column=3, end_line=35, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 <=
plafond__i_d521_3_246)):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.32"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_412(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=74, start_column=3, end_line=75, end_column=44,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
plafond__i_i_d521_3_232))):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.16"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_410(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=113, start_column=3, end_line=113, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (ressources_menage_101 >
plafond__i_i_d521_3_232)):
if (list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) >
integer_of_string("1")):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.08"))
else:
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_416(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=111, start_column=11, end_line=111, end_column=47,
law_headings=["Prologue"]), True)
def local_var_418(_: Any):
raise EmptyError
local_var_409 = handle_default([local_var_410, local_var_412,
local_var_414], local_var_416, local_var_418)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=111, start_column=11, end_line=111, end_column=47,
law_headings=["Prologue"]))
montant_initial_base_deuxieme_enfant_408 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base_deuxième_enfant"], local_var_409)
try:
if (nombre_total_enfants_347 ==
decimal_of_string("0.")):
local_var_421 = decimal_of_string("0.")
else:
local_var_421 = (nombre_moyen_enfants_349 /
nombre_total_enfants_347)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=113, start_column=11, end_line=113, end_column=38,
law_headings=["Prologue"]))
rapport_enfants_total_moyen_420 = log_variable_definition(["AllocationsFamiliales",
"rapport_enfants_total_moyen"], local_var_421)
try:
def local_var_423(param_424: Enfant):
try:
def local_var_431(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=55, start_column=3,
end_line=55, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 <=
plafond__i_d521_3_246) and
log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_424)))))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.16"))
else:
raise EmptyError
def local_var_429(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=95, start_column=3,
end_line=96, end_column=44,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
plafond__i_i_d521_3_232)) and
log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_424)))))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.08"))
else:
raise EmptyError
def local_var_427(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=132, start_column=3,
end_line=132, end_column=41,
law_headings=["Article D521-1",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_i_d521_3_232) and
log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_424)))))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.04"))
else:
raise EmptyError
def local_var_425(_: Any):
if log_decision_taken(SourcePosition(filename="./epilogue.catala_fr",
start_line=27, start_column=5,
end_line=27, end_column=44,
law_headings=["Règles diverses", "Épilogue",
"Décrets divers"]), not log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_424))))):
return money_of_cents_string("0")
else:
raise EmptyError
def local_var_433(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=133, start_column=11,
end_line=133, end_column=47,
law_headings=["Prologue"]), True)
def local_var_435(_: Any):
raise EmptyError
return handle_default([local_var_425, local_var_427,
local_var_429, local_var_431], local_var_433,
local_var_435)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=133, start_column=11, end_line=133,
end_column=47, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=133, start_column=11, end_line=133, end_column=47,
law_headings=["Prologue"]))
montant_initial_metropole_majoration_422 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_métropole_majoration"], local_var_423)
try:
def local_var_439(acc_440: Integer, enfant_441: Any):
if log_end_call(["AllocationsFamiliales",
"droit_ouvert_forfaitaire"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_forfaitaire", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_forfaitaire"], droit_ouvert_forfaitaire_262,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_forfaitaire", "input"],
enfant_441)))):
return (acc_440 + integer_of_string("1"))
else:
return acc_440
local_var_438 = (montant_verse_forfaitaire_par_enfant_384 *
decimal_of_integer(list_fold_left(local_var_439,
integer_of_string("0"), enfants_a_charge_104)))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=129, start_column=11, end_line=129, end_column=36,
law_headings=["Prologue"]))
montant_verse_forfaitaire_437 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_forfaitaire"], local_var_438)
try:
def local_var_446(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=350, start_column=5, end_line=351, end_column=69,
law_headings=["Article D755-5",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Départements d'outre-mer",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (prestations_familiales_dot_regime_outre_mer_l751_1_216 and
(list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")))):
return montant_initial_base_premier_enfant_358
else:
raise EmptyError
def local_var_444(_: Any):
if log_decision_taken(SourcePosition(filename="./decrets_divers.catala_fr",
start_line=335, start_column=5, end_line=335, end_column=24,
law_headings=["Article 7",
"Décret n°2002-423 du 29 mars 2002 relatif aux prestations familiales à Mayotte",
"Dispositions spéciales relatives à Mayotte",
"Décrets divers"]), (residence_102 ==
Collectivite(Collectivite_Code.Mayotte,
Unit()))):
return (montant_initial_base_premier_enfant_mayotte_319 +
(montant_initial_base_deuxieme_enfant_mayotte_293 +
(montant_initial_base_troisieme_enfant_mayotte_267 +
montant_initial_base_quatrieme_enfant_et_plus_mayotte_265)))
else:
raise EmptyError
def local_var_448(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=109, start_column=11, end_line=109, end_column=31,
law_headings=["Prologue"]), True)
def local_var_450(_: Any):
return (montant_initial_base_deuxieme_enfant_408 +
montant_initial_base_troisieme_enfant_et_plus_396)
local_var_443 = handle_default([local_var_444, local_var_446],
local_var_448, local_var_450)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=109, start_column=11, end_line=109, end_column=31,
law_headings=["Prologue"]))
montant_initial_base_442 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_base"], local_var_443)
try:
def local_var_453(param_454: Enfant):
try:
def local_var_457(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=373, start_column=5,
end_line=376, end_column=42,
law_headings=["Article D755-5",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Départements d'outre-mer",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_454)))) and
(prestations_familiales_dot_regime_outre_mer_l751_1_216 and
((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")) and ((param_454.age >=
integer_of_string("11")) and (param_454.age <
integer_of_string("16"))))))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0369"))
else:
raise EmptyError
def local_var_455(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=382, start_column=5,
end_line=385, end_column=23,
law_headings=["Article D755-5",
"Chapitre 5 : Prestations familiales et prestations assimilées",
"Titre 5 : Départements d'outre-mer",
"Livre 7 : Régimes divers - Dispositions diverses",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), (log_end_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"droit_ouvert_majoration"],
droit_ouvert_majoration_370,
log_variable_definition(["AllocationsFamiliales",
"droit_ouvert_majoration", "input"],
param_454)))) and
(prestations_familiales_dot_regime_outre_mer_l751_1_216 and
((list_length(enfants_a_charge_droit_ouvert_prestation_familiale_225) ==
integer_of_string("1")) and (param_454.age >=
integer_of_string("16")))))):
return (prestations_familiales_dot_base_mensuelle_217 *
decimal_of_string("0.0567"))
else:
raise EmptyError
def local_var_459(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=134, start_column=11,
end_line=134, end_column=37,
law_headings=["Prologue"]), True)
def local_var_461(_: Any):
return log_end_call(["AllocationsFamiliales",
"montant_initial_métropole_majoration"],
log_variable_definition(["AllocationsFamiliales",
"montant_initial_métropole_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"montant_initial_métropole_majoration"],
montant_initial_metropole_majoration_422,
log_variable_definition(["AllocationsFamiliales",
"montant_initial_métropole_majoration", "input"],
param_454))))
return handle_default([local_var_455, local_var_457],
local_var_459, local_var_461)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=134, start_column=11, end_line=134,
end_column=37, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=134, start_column=11, end_line=134, end_column=37,
law_headings=["Prologue"]))
montant_initial_majoration_452 = log_variable_definition(["AllocationsFamiliales",
"montant_initial_majoration"], local_var_453)
try:
def local_var_467(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=262, start_column=5, end_line=264, end_column=42,
law_headings=["Article D521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_d521_3_246) and (ressources_menage_101 <=
(plafond__i_d521_3_246 + (montant_verse_forfaitaire_437 *
decimal_of_string("12.")))))):
return ((plafond__i_d521_3_246 +
((montant_verse_forfaitaire_437 *
decimal_of_string("12.")) - ressources_menage_101)) *
(decimal_of_string("1.") / decimal_of_string("12.")))
else:
raise EmptyError
def local_var_465(_: Any):
if log_decision_taken(SourcePosition(filename="./securite_sociale_D.catala_fr",
start_line=272, start_column=5, end_line=274, end_column=41,
law_headings=["Article D521-2",
"Chapitre 1er : Allocations familiales",
"Titre 2 : Prestations générales d'entretien",
"Livre 5 : Prestations familiales et prestations assimilées",
"Partie réglementaire - Décrets simples",
"Code de la sécurité sociale"]), ((ressources_menage_101 >
plafond__i_i_d521_3_232) and (ressources_menage_101 <=
(plafond__i_i_d521_3_232 + (montant_verse_forfaitaire_437 *
decimal_of_string("12.")))))):
return ((plafond__i_i_d521_3_232 +
((montant_verse_forfaitaire_437 *
decimal_of_string("12.")) - ressources_menage_101)) *
(decimal_of_string("1.") / decimal_of_string("12.")))
else:
raise EmptyError
def local_var_469(_: Any):
return log_decision_taken(SourcePosition(filename="./prologue.catala_fr",
start_line=143, start_column=11, end_line=143, end_column=52,
law_headings=["Prologue"]), True)
def local_var_471(_: Any):
return money_of_cents_string("0")
local_var_464 = handle_default([local_var_465, local_var_467],
local_var_469, local_var_471)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=143, start_column=11, end_line=143, end_column=52,
law_headings=["Prologue"]))
montant_verse_complement_pour_forfaitaire_463 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_complément_pour_forfaitaire"], local_var_464)
try:
local_var_474 = (montant_initial_base_442 *
rapport_enfants_total_moyen_420)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=116, start_column=11, end_line=116, end_column=43,
law_headings=["Prologue"]))
montant_avec_garde_alternee_base_473 = log_variable_definition(["AllocationsFamiliales",
"montant_avec_garde_alternée_base"], local_var_474)
try:
def local_var_476(param_477: Enfant):
try:
match_arg_546 = log_end_call(["AllocationsFamiliales",
"prise_en_compte"],
log_variable_definition(["AllocationsFamiliales",
"prise_en_compte", "output"],
log_begin_call(["AllocationsFamiliales", "prise_en_compte"],
prise_en_compte_106,
log_variable_definition(["AllocationsFamiliales",
"prise_en_compte", "input"],
param_477))))
if match_arg_546.code == PriseEnCompte_Code.Complete:
_ = match_arg_546.value
local_var_478 = decimal_of_string("1.")
elif match_arg_546.code == PriseEnCompte_Code.Partagee:
_ = match_arg_546.value
local_var_478 = decimal_of_string("0.5")
elif match_arg_546.code == PriseEnCompte_Code.Zero:
_ = match_arg_546.value
local_var_478 = decimal_of_string("0.")
return (log_end_call(["AllocationsFamiliales",
"montant_initial_majoration"],
log_variable_definition(["AllocationsFamiliales",
"montant_initial_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"montant_initial_majoration"],
montant_initial_majoration_452,
log_variable_definition(["AllocationsFamiliales",
"montant_initial_majoration", "input"], param_477)))) *
local_var_478)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=135, start_column=11, end_line=135,
end_column=49, law_headings=["Prologue"]))
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=135, start_column=11, end_line=135, end_column=49,
law_headings=["Prologue"]))
montant_avec_garde_alternee_majoration_475 = log_variable_definition(["AllocationsFamiliales",
"montant_avec_garde_alternée_majoration"], local_var_476)
try:
if droit_ouvert_base_360:
local_var_483 = montant_avec_garde_alternee_base_473
else:
local_var_483 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=117, start_column=11, end_line=117, end_column=29,
law_headings=["Prologue"]))
montant_verse_base_482 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_base"], local_var_483)
try:
if droit_ouvert_base_360:
def local_var_486(acc_487: Money, enfant_488: Any):
return (acc_487 + log_end_call(["AllocationsFamiliales",
"montant_avec_garde_alternée_majoration"],
log_variable_definition(["AllocationsFamiliales",
"montant_avec_garde_alternée_majoration", "output"],
log_begin_call(["AllocationsFamiliales",
"montant_avec_garde_alternée_majoration"],
montant_avec_garde_alternee_majoration_475,
log_variable_definition(["AllocationsFamiliales",
"montant_avec_garde_alternée_majoration", "input"],
enfant_488)))))
local_var_485 = list_fold_left(local_var_486,
money_of_cents_string("0"), enfants_a_charge_104)
else:
local_var_485 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=136, start_column=11, end_line=136, end_column=35,
law_headings=["Prologue"]))
montant_verse_majoration_484 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_majoration"], local_var_485)
try:
local_var_490 = (montant_verse_base_482 +
montant_verse_majoration_484)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=140, start_column=11, end_line=140, end_column=58,
law_headings=["Prologue"]))
montant_base_complement_pour_base_et_majoration_489 = log_variable_definition(["AllocationsFamiliales",
"montant_base_complément_pour_base_et_majoration"], local_var_490)
try:
if droit_ouvert_complement_260:
local_var_492 = log_end_call(["AllocationsFamiliales",
"complément_dégressif"],
log_variable_definition(["AllocationsFamiliales",
"complément_dégressif", "output"],
log_begin_call(["AllocationsFamiliales",
"complément_dégressif"], complement_degressif_373,
log_variable_definition(["AllocationsFamiliales",
"complément_dégressif", "input"],
montant_base_complement_pour_base_et_majoration_489))))
else:
local_var_492 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=142, start_column=11, end_line=142, end_column=59,
law_headings=["Prologue"]))
montant_verse_complement_pour_base_et_majoration_491 = log_variable_definition(["AllocationsFamiliales",
"montant_versé_complément_pour_base_et_majoration"], local_var_492)
try:
if droit_ouvert_base_360:
local_var_494 = (montant_verse_base_482 +
(montant_verse_majoration_484 +
(montant_verse_forfaitaire_437 +
(montant_verse_complement_pour_base_et_majoration_491 +
montant_verse_complement_pour_forfaitaire_463))))
else:
local_var_494 = money_of_cents_string("0")
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=105, start_column=10, end_line=105, end_column=23,
law_headings=["Prologue"]))
montant_verse_493 = log_variable_definition(["AllocationsFamiliales",
"montant_versé"], local_var_494)
assert (personne_charge_effective_permanente_est_parent_99 or
(not personne_charge_effective_permanente_est_parent_99 and
personne_charge_effective_permanente_remplit_titre__i_100))
return AllocationsFamilialesOut(montant_verse_out=montant_verse_493)
def interface_allocations_familiales(interface_allocations_familiales_in_495: InterfaceAllocationsFamilialesIn):
i_date_courante_496 = interface_allocations_familiales_in_495.i_date_courante_in
i_enfants_497 = interface_allocations_familiales_in_495.i_enfants_in
i_ressources_menage_498 = interface_allocations_familiales_in_495.i_ressources_menage_in
i_residence_499 = interface_allocations_familiales_in_495.i_residence_in
i_personne_charge_effective_permanente_est_parent_500 = interface_allocations_familiales_in_495.i_personne_charge_effective_permanente_est_parent_in
i_personne_charge_effective_permanente_remplit_titre__i_501 = interface_allocations_familiales_in_495.i_personne_charge_effective_permanente_remplit_titre_I_in
i_avait_enfant_a_charge_avant_1er_janvier_2012_502 = interface_allocations_familiales_in_495.i_avait_enfant_a_charge_avant_1er_janvier_2012_in
try:
def local_var_505(enfant_506: Any):
if ((enfant_506.d_date_de_naissance +
duration_of_numbers(3, 0, 0)) >=
i_date_courante_496):
local_var_507 = SituationObligationScolaire(SituationObligationScolaire_Code.Avant,
Unit())
else:
if ((enfant_506.d_date_de_naissance +
duration_of_numbers(16, 0, 0)) >=
i_date_courante_496):
local_var_507 = SituationObligationScolaire(SituationObligationScolaire_Code.Pendant,
Unit())
else:
local_var_507 = SituationObligationScolaire(SituationObligationScolaire_Code.Apres,
Unit())
return Enfant(identifiant=enfant_506.d_identifiant,
obligation_scolaire=local_var_507,
remuneration_mensuelle=enfant_506.d_remuneration_mensuelle,
date_de_naissance=enfant_506.d_date_de_naissance,
age=year_of_date((date_of_numbers(0, 1, 1) +
(i_date_courante_496 - enfant_506.d_date_de_naissance))),
prise_en_charge=enfant_506.d_prise_en_charge,
a_deja_ouvert_droit_aux_allocations_familiales=enfant_506.d_a_deja_ouvert_droit_aux_allocations_familiales)
local_var_504 = list_map(local_var_505, i_enfants_497)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./epilogue.catala_fr",
start_line=74, start_column=11, end_line=74, end_column=27,
law_headings=["Interface du programme", "Épilogue",
"Décrets divers"]))
enfants_a_charge_503 = log_variable_definition(["InterfaceAllocationsFamiliales",
"enfants_à_charge"], local_var_504)
try:
try:
if log_decision_taken(SourcePosition(filename="./epilogue.catala_fr",
start_line=90, start_column=20, end_line=90, end_column=69,
law_headings=["Interface du programme", "Épilogue",
"Décrets divers"]), i_personne_charge_effective_permanente_est_parent_500):
local_var_510 = True
else:
raise EmptyError
except EmptyError:
local_var_510 = False
local_var_509 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.personne_charge_effective_permanente_est_parent"],
local_var_510)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=90, start_column=10, end_line=90, end_column=57,
law_headings=["Prologue"]))
allocations_familiales_dot_personne_charge_effective_permanente_est_parent_508 = local_var_509
try:
try:
if log_decision_taken(SourcePosition(filename="./epilogue.catala_fr",
start_line=93, start_column=20, end_line=93, end_column=74,
law_headings=["Interface du programme", "Épilogue",
"Décrets divers"]), i_personne_charge_effective_permanente_remplit_titre__i_501):
local_var_513 = True
else:
raise EmptyError
except EmptyError:
local_var_513 = False
local_var_512 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.personne_charge_effective_permanente_remplit_titre_I"],
local_var_513)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=91, start_column=10, end_line=91, end_column=62,
law_headings=["Prologue"]))
allocations_familiales_dot_personne_charge_effective_permanente_remplit_titre__i_511 = local_var_512
try:
local_var_515 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.ressources_ménage"],
i_ressources_menage_498)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=92, start_column=10, end_line=92, end_column=27,
law_headings=["Prologue"]))
allocations_familiales_dot_ressources_menage_514 = local_var_515
try:
local_var_517 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.résidence"], i_residence_499)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=93, start_column=10, end_line=93, end_column=19,
law_headings=["Prologue"]))
allocations_familiales_dot_residence_516 = local_var_517
try:
local_var_519 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.date_courante"], i_date_courante_496)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=96, start_column=10, end_line=96, end_column=23,
law_headings=["Prologue"]))
allocations_familiales_dot_date_courante_518 = local_var_519
try:
local_var_521 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.enfants_à_charge"],
enfants_a_charge_503)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=99, start_column=10, end_line=99, end_column=26,
law_headings=["Prologue"]))
allocations_familiales_dot_enfants_a_charge_520 = local_var_521
try:
try:
if log_decision_taken(SourcePosition(filename="./epilogue.catala_fr",
start_line=96, start_column=20, end_line=96, end_column=66,
law_headings=["Interface du programme", "Épilogue",
"Décrets divers"]), i_avait_enfant_a_charge_avant_1er_janvier_2012_502):
local_var_524 = True
else:
raise EmptyError
except EmptyError:
local_var_524 = False
local_var_523 = log_variable_definition(["InterfaceAllocationsFamiliales",
"allocations_familiales.avait_enfant_à_charge_avant_1er_janvier_2012"],
local_var_524)
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./prologue.catala_fr",
start_line=120, start_column=10, end_line=120, end_column=54,
law_headings=["Prologue"]))
allocations_familiales_dot_avait_enfant_a_charge_avant_1er_janvier_2012_522 = local_var_523
result_525 = log_end_call(["InterfaceAllocationsFamiliales",
"allocations_familiales", "AllocationsFamiliales"],
log_begin_call(["InterfaceAllocationsFamiliales",
"allocations_familiales", "AllocationsFamiliales"],
allocations_familiales,
AllocationsFamilialesIn(personne_charge_effective_permanente_est_parent_in=allocations_familiales_dot_personne_charge_effective_permanente_est_parent_508,
personne_charge_effective_permanente_remplit_titre_I_in=allocations_familiales_dot_personne_charge_effective_permanente_remplit_titre__i_511,
ressources_menage_in=allocations_familiales_dot_ressources_menage_514,
residence_in=allocations_familiales_dot_residence_516,
date_courante_in=allocations_familiales_dot_date_courante_518,
enfants_a_charge_in=allocations_familiales_dot_enfants_a_charge_520,
avait_enfant_a_charge_avant_1er_janvier_2012_in=allocations_familiales_dot_avait_enfant_a_charge_avant_1er_janvier_2012_522)))
allocations_familiales_dot_montant_verse_526 = result_525.montant_verse_out
try:
local_var_528 = allocations_familiales_dot_montant_verse_526
except EmptyError:
raise NoValueProvided(SourcePosition(filename="./epilogue.catala_fr",
start_line=78, start_column=10, end_line=78, end_column=25,
law_headings=["Interface du programme", "Épilogue",
"Décrets divers"]))
i_montant_verse_527 = log_variable_definition(["InterfaceAllocationsFamiliales",
"i_montant_versé"], local_var_528)
return InterfaceAllocationsFamilialesOut(i_montant_verse_out=i_montant_verse_527)
| 79.095514 | 388 | 0.422289 | 20,158 | 273,275 | 5.302808 | 0.042167 | 0.036896 | 0.022985 | 0.030058 | 0.874474 | 0.822637 | 0.755337 | 0.708337 | 0.676072 | 0.65724 | 0 | 0.063907 | 0.523023 | 273,275 | 3,454 | 389 | 79.118413 | 0.755827 | 0.000238 | 0 | 0.613143 | 1 | 0.00465 | 0.121764 | 0.037115 | 0 | 0 | 0 | 0 | 0.00031 | 1 | 0.069746 | false | 0.00031 | 0.00093 | 0.021079 | 0.17018 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c40f28a6828681872445666077421184fc7325c0 | 13,575 | py | Python | test/knxip_tests/routing_indication_test.py | marvin-w/xknx | 9f8b80fa0906a345c7def519ac3c92c955990a26 | [
"MIT"
] | null | null | null | test/knxip_tests/routing_indication_test.py | marvin-w/xknx | 9f8b80fa0906a345c7def519ac3c92c955990a26 | [
"MIT"
] | 1 | 2019-01-06T11:40:16.000Z | 2019-01-06T11:40:16.000Z | test/knxip_tests/routing_indication_test.py | marvin-w/xknx | 9f8b80fa0906a345c7def519ac3c92c955990a26 | [
"MIT"
] | null | null | null | """Unit test for KNX/IP RountingIndication objects."""
import asyncio
import time
import unittest
from xknx import XKNX
from xknx.dpt import DPTArray, DPTBinary, DPTTemperature, DPTTime
from xknx.knxip import CEMIFrame, KNXIPFrame, KNXIPServiceType, RoutingIndication
from xknx.telegram import GroupAddress, PhysicalAddress, Telegram, TelegramType
class Test_KNXIP(unittest.TestCase):
"""Class for KNX/IP RoutingIndication test."""
# pylint: disable=too-many-public-methods,invalid-name
def setUp(self):
"""Set up test class."""
self.loop = asyncio.new_event_loop()
asyncio.set_event_loop(self.loop)
def tearDown(self):
"""Tear down test class."""
self.loop.close()
def test_from_knx(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet (payload=0xf0)."""
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x12,
0x29,
0x00,
0xBC,
0xD0,
0x12,
0x02,
0x01,
0x51,
0x02,
0x00,
0x40,
0xF0,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
self.assertTrue(isinstance(knxipframe.body, RoutingIndication))
self.assertTrue(isinstance(knxipframe.body.cemi, CEMIFrame))
self.assertEqual(knxipframe.body.cemi.src_addr, PhysicalAddress("1.2.2"))
self.assertEqual(knxipframe.body.cemi.dst_addr, GroupAddress(337))
self.assertEqual(len(knxipframe.body.cemi.payload.value), 1)
self.assertEqual(knxipframe.body.cemi.payload.value[0], 0xF0)
def test_from_knx_to_knx(self):
"""Test parsing and streaming CEMIFrame KNX/IP."""
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x12,
0x29,
0x00,
0xBC,
0xD0,
0x12,
0x02,
0x01,
0x51,
0x02,
0x00,
0x40,
0xF0,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
knxipframe.normalize()
self.assertEqual(knxipframe.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe.to_knx(), list(raw))
def test_telegram_set(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet with DPTArray/DPTTime as payload."""
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe.body.cemi.src_addr = PhysicalAddress("1.2.2")
telegram = Telegram(
group_address=GroupAddress(337),
payload=DPTArray(DPTTime().to_knx(time.strptime("13:23:42", "%H:%M:%S"))),
)
knxipframe.body.cemi.telegram = telegram
knxipframe.body.cemi.set_hops(5)
knxipframe.normalize()
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x14,
0x29,
0x00,
0xBC,
0xD0,
0x12,
0x02,
0x01,
0x51,
0x04,
0x00,
0x80,
13,
23,
42,
)
self.assertEqual(knxipframe.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe.to_knx(), list(raw))
def test_telegram_get(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, group read."""
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x12,
0x29,
0x00,
0xBC,
0xD0,
0x12,
0x02,
0x01,
0x51,
0x02,
0x00,
0x40,
0xF0,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(telegram.group_address, GroupAddress(337))
self.assertEqual(len(telegram.payload.value), 1)
self.assertEqual(telegram.payload.value[0], 0xF0)
#
# End-tox-End tests:
#
# - parsing KNX telegram and check the result
# - reassembling scond KNXIPFrame
# - comparing both
#
def test_EndTOEnd_group_write_binary_on(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, switch on light in my kitchen."""
# Switch on Kitchen-L1
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x11,
0x29,
0x00,
0xBC,
0xD0,
0xFF,
0xF9,
0x01,
0x49,
0x01,
0x00,
0x81,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(telegram, Telegram(GroupAddress("329"), payload=DPTBinary(1)))
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("15.15.249")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_EndTOEnd_group_write_binary_off(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, switch off light in my kitchen."""
# Switch off Kitchen-L1
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x11,
0x29,
0x00,
0xBC,
0xD0,
0xFF,
0xF9,
0x01,
0x49,
0x01,
0x00,
0x80,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(telegram, Telegram(GroupAddress("329"), payload=DPTBinary(0)))
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("15.15.249")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_EndTOEnd_group_write_1byte(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, dimm light in my kitchen."""
# Dimm Kitchen L1 to 0x65
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x12,
0x29,
0x00,
0xBC,
0xD0,
0xFF,
0xF9,
0x01,
0x4B,
0x02,
0x00,
0x80,
0x65,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(
telegram, Telegram(GroupAddress("331"), payload=DPTArray(0x65))
)
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("15.15.249")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_EndTOEnd_group_write_2bytes(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, setting value of thermostat."""
# Incoming Temperature from thermostat
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x13,
0x29,
0x00,
0xBC,
0xD0,
0x14,
0x02,
0x08,
0x01,
0x03,
0x00,
0x80,
0x07,
0xC1,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(
telegram,
Telegram(
GroupAddress("2049"), payload=DPTArray(DPTTemperature().to_knx(19.85))
),
)
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("1.4.2")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_EndTOEnd_group_read(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, group read."""
# State request
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x11,
0x29,
0x00,
0xBC,
0xD0,
0xFF,
0xF9,
0x01,
0xB8,
0x01,
0x00,
0x00,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(
telegram, Telegram(GroupAddress("440"), TelegramType.GROUP_READ)
)
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("15.15.249")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_EndTOEnd_group_response(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, group response."""
# Incoming state
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x11,
0x29,
0x00,
0xBC,
0xD0,
0x13,
0x01,
0x01,
0x88,
0x01,
0x00,
0x41,
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.from_knx(raw)
telegram = knxipframe.body.cemi.telegram
self.assertEqual(
telegram,
Telegram(
GroupAddress("392"), TelegramType.GROUP_RESPONSE, payload=DPTBinary(1)
),
)
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.body.cemi.src_addr = PhysicalAddress("1.3.1")
knxipframe2.body.cemi.telegram = telegram
knxipframe2.body.cemi.set_hops(5)
knxipframe2.normalize()
self.assertEqual(knxipframe2.header.to_knx(), list(raw[0:6]))
self.assertEqual(knxipframe2.body.to_knx(), list(raw[6:]))
self.assertEqual(knxipframe2.to_knx(), list(raw))
def test_maximum_apci(self):
"""Test parsing and streaming CEMIFrame KNX/IP packet, testing maximum APCI."""
telegram = Telegram(
group_address=GroupAddress(337), payload=DPTBinary(DPTBinary.APCI_MAX_VALUE)
)
xknx = XKNX(loop=self.loop)
knxipframe = KNXIPFrame(xknx)
knxipframe.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe.body.cemi.src_addr = PhysicalAddress("1.3.1")
knxipframe.body.cemi.telegram = telegram
knxipframe.body.cemi.set_hops(5)
knxipframe.normalize()
raw = (
0x06,
0x10,
0x05,
0x30,
0x00,
0x11,
0x29,
0x00,
0xBC,
0xD0,
0x13,
0x01,
0x01,
0x51,
0x01,
0x00,
0xBF,
)
self.assertEqual(knxipframe.to_knx(), list(raw))
knxipframe2 = KNXIPFrame(xknx)
knxipframe2.init(KNXIPServiceType.ROUTING_INDICATION)
knxipframe2.from_knx(knxipframe.to_knx())
self.assertEqual(knxipframe2.body.cemi.telegram, telegram)
| 29.068522 | 98 | 0.53989 | 1,321 | 13,575 | 5.462528 | 0.130961 | 0.08107 | 0.031181 | 0.041574 | 0.812084 | 0.758731 | 0.750416 | 0.729767 | 0.724778 | 0.667822 | 0 | 0.084101 | 0.360589 | 13,575 | 466 | 99 | 29.130901 | 0.747235 | 0.09046 | 0 | 0.795918 | 0 | 0 | 0.007832 | 0 | 0 | 0 | 0.063958 | 0 | 0.104592 | 1 | 0.033163 | false | 0 | 0.017857 | 0 | 0.053571 | 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 |
c42a957f427a25683fc8418cd294963fa789959f | 5,031 | py | Python | pcl/__init__.py | conica-cui/python-pcl | b54e80e7da94ac9e2279b95fdac597f1de7145d7 | [
"BSD-3-Clause"
] | 1,705 | 2015-01-08T08:25:12.000Z | 2022-03-31T07:02:55.000Z | pcl/__init__.py | Sh4zKh4n/python-pcl | 1d83d2d7ce9ce2c22ff5855249459bfc22025000 | [
"BSD-3-Clause"
] | 331 | 2015-01-03T12:31:01.000Z | 2022-03-31T21:00:32.000Z | pcl/__init__.py | Sh4zKh4n/python-pcl | 1d83d2d7ce9ce2c22ff5855249459bfc22025000 | [
"BSD-3-Clause"
] | 666 | 2015-01-15T03:42:49.000Z | 2022-03-25T13:48:33.000Z | # XXX do a more specific import!
from ._pcl import *
# from .pcl_visualization import *
# from .pcl_grabber import *
import sys
def load(path, format=None):
"""Load pointcloud from path.
Currently supports PCD and PLY files.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
p = PointCloud()
try:
loader = getattr(p, "_from_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if loader(_encode(path)):
raise IOError("error while loading pointcloud from %r (format=%r)"
% (path, format))
return p
def load_XYZI(path, format=None):
"""Load pointcloud from path.
Currently supports PCD and PLY files.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
p = PointCloud_PointXYZI()
try:
loader = getattr(p, "_from_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if loader(_encode(path)):
raise IOError("error while loading pointcloud from %r (format=%r)"
% (path, format))
return p
def load_XYZRGB(path, format=None):
"""
Load pointcloud from path.
Currently supports PCD and PLY files.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
p = PointCloud_PointXYZRGB()
try:
loader = getattr(p, "_from_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if loader(_encode(path)):
raise IOError("error while loading pointcloud from %r (format=%r)"
% (path, format))
return p
def load_XYZRGBA(path, format=None):
"""
Load pointcloud from path.
Currently supports PCD and PLY files.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
p = PointCloud_PointXYZRGBA()
try:
loader = getattr(p, "_from_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if loader(_encode(path)):
raise IOError("error while loading pointcloud from %r (format=%r)"
% (path, format))
return p
def load_PointWithViewpoint(path, format=None):
"""
Load pointcloud from path.
Currently supports PCD and PLY files.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
p = PointCloud_PointWithViewpoint()
try:
loader = getattr(p, "_from_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if loader(_encode(path)):
raise IOError("error while loading pointcloud from %r (format=%r)"
% (path, format))
return p
def save(cloud, path, format=None, binary=False):
"""Save pointcloud to file.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
try:
dumper = getattr(cloud, "_to_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if dumper(_encode(path), binary):
raise IOError("error while saving pointcloud to %r (format=%r)"
% (path, format))
def save_XYZRGBA(cloud, path, format=None, binary=False):
"""Save pointcloud to file.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
try:
dumper = getattr(cloud, "_to_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if dumper(_encode(path), binary):
raise IOError("error while saving pointcloud to %r (format=%r)"
% (path, format))
def save_PointNormal(cloud, path, format=None, binary=False):
"""
Save pointcloud to file.
Format should be "pcd", "ply", or None to infer from the pathname.
"""
format = _infer_format(path, format)
try:
dumper = getattr(cloud, "_to_%s_file" % format)
except AttributeError:
raise ValueError("unknown file format %s" % format)
if dumper(_encode(path), binary):
raise IOError("error while saving pointcloud to %r (format=%r)"
% (path, format))
def _encode(path):
# Encode path for use in C++.
if isinstance(path, bytes):
return path
else:
return path.encode(sys.getfilesystemencoding())
def _infer_format(path, format):
if format is not None:
return format.lower()
for candidate in ["pcd", "ply", "obj"]:
if path.endswith("." + candidate):
return candidate
raise ValueError("Could not determine file format from pathname %s" % path)
| 30.676829 | 79 | 0.626118 | 621 | 5,031 | 4.971014 | 0.128824 | 0.080985 | 0.043732 | 0.061224 | 0.841594 | 0.841594 | 0.841594 | 0.841594 | 0.841594 | 0.841594 | 0 | 0 | 0.26456 | 5,031 | 163 | 80 | 30.865031 | 0.834054 | 0.023455 | 0 | 0.71875 | 0 | 0 | 0.189614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.020833 | 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 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c43039ea1dc0ad2b2617a367520e82f8cebfbaeb | 129 | py | Python | __init__.py | adamkglaser/pco-python | b2747666d8f09daec5dd8faa7a22ea1cb80079df | [
"MIT"
] | 1 | 2021-03-21T09:30:19.000Z | 2021-03-21T09:30:19.000Z | __init__.py | adamkglaser/pco-python | b2747666d8f09daec5dd8faa7a22ea1cb80079df | [
"MIT"
] | null | null | null | __init__.py | adamkglaser/pco-python | b2747666d8f09daec5dd8faa7a22ea1cb80079df | [
"MIT"
] | 1 | 2021-01-21T00:54:16.000Z | 2021-01-21T00:54:16.000Z | # -*- coding: utf-8 -*-
"""
@author: ziegler
"""
from hardware.pco.camera import camera
from hardware.pco.camera import Camera
| 14.333333 | 38 | 0.689922 | 17 | 129 | 5.235294 | 0.588235 | 0.269663 | 0.337079 | 0.47191 | 0.741573 | 0.741573 | 0 | 0 | 0 | 0 | 0 | 0.009091 | 0.147287 | 129 | 8 | 39 | 16.125 | 0.8 | 0.302326 | 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 | 1 | 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 | 8 |
c44711d37ff87b7d39c6e3faa00f0f40d9161cb1 | 127 | py | Python | posts/admin.py | ashwin-bitsathy/django---ecommerce | 49ebb518ed5831639d560c27f2313f983fe27e86 | [
"BSD-3-Clause"
] | null | null | null | posts/admin.py | ashwin-bitsathy/django---ecommerce | 49ebb518ed5831639d560c27f2313f983fe27e86 | [
"BSD-3-Clause"
] | null | null | null | posts/admin.py | ashwin-bitsathy/django---ecommerce | 49ebb518ed5831639d560c27f2313f983fe27e86 | [
"BSD-3-Clause"
] | null | null | null |
from django.contrib import admin
from .models import Post,Posted
admin.site.register(Posted)
admin.site.register(Post) | 18.142857 | 33 | 0.771654 | 18 | 127 | 5.444444 | 0.555556 | 0.22449 | 0.306122 | 0.469388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141732 | 127 | 7 | 34 | 18.142857 | 0.899083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
c46491be72ce2e1853282d36d4c92d1aca7952ae | 113 | py | Python | tests/test_curlio.py | weinerjm/decurl | 365aa85739c4352766acca70e6b16c34a2ba418f | [
"Apache-2.0"
] | null | null | null | tests/test_curlio.py | weinerjm/decurl | 365aa85739c4352766acca70e6b16c34a2ba418f | [
"Apache-2.0"
] | 5 | 2016-06-16T22:02:40.000Z | 2016-06-23T16:41:19.000Z | tests/test_curlio.py | weinerjm/decurl | 365aa85739c4352766acca70e6b16c34a2ba418f | [
"Apache-2.0"
] | null | null | null | import sure
import context
import decurl.curlio as curlio
def test_write():
pass
def test_read():
pass
| 11.3 | 30 | 0.725664 | 17 | 113 | 4.705882 | 0.647059 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212389 | 113 | 9 | 31 | 12.555556 | 0.898876 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | true | 0.285714 | 0.428571 | 0 | 0.714286 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
673aab4a15e84bdb1b9d4347d490473145d8c9ec | 1,846 | py | Python | test-runner/module_tests/test_connect_disconnect.py | gregga/iot-sdks-e2e-fx | 02d0ce0823f0190ef26ccfbf3fd3ba7ccde8d6cb | [
"MIT"
] | null | null | null | test-runner/module_tests/test_connect_disconnect.py | gregga/iot-sdks-e2e-fx | 02d0ce0823f0190ef26ccfbf3fd3ba7ccde8d6cb | [
"MIT"
] | 1 | 2021-06-01T23:42:31.000Z | 2021-06-01T23:42:31.000Z | test-runner/module_tests/test_connect_disconnect.py | gregga/my-iot-sdks-e2e-fx | f043aff93b415e214136110ed52c15e581892b42 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE file in the project root for
# full license information.
import pytest
import connections
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.testgroup_iothub_module_client
def test_module_client_connect_disconnect():
module_client = connections.connect_test_module_client()
module_client.disconnect()
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.testgroup_iothub_module_client
@pytest.mark.supportsTwin
def test_module_client_connect_enable_twin_disconnect():
module_client = connections.connect_test_module_client()
module_client.enable_twin()
module_client.disconnect()
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.testgroup_iothub_module_client
@pytest.mark.receivesMethodCalls
def test_module_client_connect_enable_methods_disconnect():
module_client = connections.connect_test_module_client()
module_client.enable_methods()
module_client.disconnect()
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.receivesInputMessages
def test_module_client_connect_enable_input_messages_disconnect():
module_client = connections.connect_test_module_client()
module_client.enable_input_messages()
module_client.disconnect()
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.module_under_test_has_device_wrapper
def test_device_client_connect_disconnect():
device_client = connections.connect_leaf_device_client()
device_client.disconnect()
@pytest.mark.testgroup_edgehub_module_client
@pytest.mark.module_under_test_has_device_wrapper
def test_device_client_connect_enable_methods_disconnect():
device_client = connections.connect_leaf_device_client()
device_client.enable_methods()
device_client.disconnect()
| 32.385965 | 74 | 0.842362 | 231 | 1,846 | 6.25974 | 0.207792 | 0.232365 | 0.118257 | 0.121715 | 0.800138 | 0.768326 | 0.701936 | 0.701936 | 0.701936 | 0.701936 | 0 | 0 | 0.088299 | 1,846 | 56 | 75 | 32.964286 | 0.85918 | 0.089382 | 0 | 0.605263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.052632 | 0 | 0.210526 | 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 |
674305a6b2ee28c3fb7d23a0a8df1fd37ae18399 | 769 | py | Python | python_programs/operator_overloading.py | abhayanigam/Learn_Python_Programming | 801e3fff2b1fe35e4c93f4ced649516c519eb8f9 | [
"MIT"
] | 1 | 2021-08-28T15:10:26.000Z | 2021-08-28T15:10:26.000Z | python_programs/operator_overloading.py | abhayanigam/Learn_Python_Programming | 801e3fff2b1fe35e4c93f4ced649516c519eb8f9 | [
"MIT"
] | null | null | null | python_programs/operator_overloading.py | abhayanigam/Learn_Python_Programming | 801e3fff2b1fe35e4c93f4ced649516c519eb8f9 | [
"MIT"
] | null | null | null | #for addition
class number():
def __init__(self,num):
self.num = num
def __add__(self,num2):
return(self.num + num2.num)
n = number(2)
n2 = number(2)
sum = n + n2
print(sum)
#---------------------------------------------------------------------------
#For Substraction
class number():
def __init__(self,num):
self.num = num
def __sub__(self,num2):
return(self.num - num2.num)
n = number(2)
n2 = number(2)
sub = n - n2
print(sub)
#---------------------------------------------------------------------------
#For Multiplication
class number():
def __init__(self,num):
self.num = num
def __mul__(self,num2):
return(self.num * num2.num)
n = number(2)
n2 = number(3)
mul = n * n2
print(mul) | 17.477273 | 76 | 0.477243 | 93 | 769 | 3.688172 | 0.225806 | 0.183673 | 0.122449 | 0.157434 | 0.723032 | 0.723032 | 0.723032 | 0.723032 | 0.723032 | 0.723032 | 0 | 0.029703 | 0.211964 | 769 | 44 | 77 | 17.477273 | 0.536304 | 0.254876 | 0 | 0.518519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0.111111 | 0.333333 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
67cbbdfca0a4d449a654f4359685c82907a5ac15 | 11,807 | py | Python | server/core/tests/test_favorite_thing.py | omobosteven/favorite-things | c5fdf307f9a0c5d2ab659d0cc826f0f7201df141 | [
"MIT"
] | null | null | null | server/core/tests/test_favorite_thing.py | omobosteven/favorite-things | c5fdf307f9a0c5d2ab659d0cc826f0f7201df141 | [
"MIT"
] | 15 | 2019-12-04T23:16:58.000Z | 2022-02-27T05:06:03.000Z | server/core/tests/test_favorite_thing.py | omobosteven/favorite-things | c5fdf307f9a0c5d2ab659d0cc826f0f7201df141 | [
"MIT"
] | 1 | 2019-07-25T20:35:24.000Z | 2019-07-25T20:35:24.000Z | from django.urls import reverse
from rest_framework import status
from .base import BaseViewTest
from rest_framework import serializers
class FavoriteThingTest(BaseViewTest):
def test_unauthenticated_user_category(self):
"""
Ensure that an authenticated user can't create favorite thing
"""
data = {'title': 'test', 'ranking': 1, 'category': 1}
response = self.client.post(reverse('favorite-thing'), data)
print(response)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_favorite_thing_category_user(self):
"""
Ensure that category is associated with or belongs to user
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'test', 'ranking': 1,
'category': self.category_phone.name}
response = self.client.post(reverse('favorite-thing'), data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertEqual(response.data['message'],
'Category unavailable - object not found')
def test_favorite_thing_invalid_metadata(self):
"""
Ensure that users enters valid JSON type for metadata
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'metadata': 'beans',
'ranking': 4, 'category': self.default_category_food.name}
response = self.client.post(reverse('favorite-thing'), data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertRaises(serializers.ValidationError)
def test_favorite_thing_first_ranking(self):
"""
Ensures that ranking is ordered when creating first favorite thing
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'web', 'ranking': 400,
'category': self.default_category_places.name}
response = self.client.post(reverse('favorite-thing'), data)
self.assertEqual(response.data['ranking'], 1)
def test_user_create_favorite_thing(self):
"""
Ensure that user can create favorite things
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'metadata': {'type': 'roasted'},
'ranking': 4, 'category': self.default_category_food.name}
response = self.client.post(reverse('favorite-thing'), data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(response.data['title'], 'chicken')
self.assertEqual(response.data['ranking'], 4)
def test_favorite_thing_last_ranking(self):
"""
Ensures that ranking is ordered when creating new favorite thing
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'metadata': {'type': 'roasted'},
'ranking': 400, 'category': self.default_category_food.name}
response = self.client.post(reverse('favorite-thing'), data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(response.data['ranking'], 4)
def test_favorite_thing_duplicate(self):
"""
Ensure that duplicate favorite thing are not created
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'bread', 'ranking': 2,
'category': self.default_category_food.name}
response = self.client.post(reverse('favorite-thing'), data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertRaises(serializers.ValidationError)
def test_favorite_thing_ranking_reordering(self):
"""
Ensures that ranking is re_ordered when creating new
favorite thing with existing ranking
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'metadata': {'type': 'roasted'},
'ranking': 2, 'category': self.default_category_food.name}
response = self.client.post(reverse('favorite-thing'), data)
response_list = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(response_list.data[0]['ranking'], 1)
self.assertEqual(response.data['ranking'], 2)
self.assertEqual(response_list.data[1]['title'], 'chicken')
self.assertEqual(response_list.data[-2]['ranking'], 3)
self.assertEqual(response_list.data[-1]['ranking'], 4)
def test_list_user_favorite_things_category(self):
"""
Ensure that user get a list of favorite things in a category
"""
self.login_client('test@test.com', 'pass1234')
response = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.data), 3)
def test_list_user_favorite_things(self):
"""
Ensure that user get a list of the favorite things
"""
self.login_client('test@test.com', 'pass1234')
response = self.client.get(reverse('favorite-thing'))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.data), 5)
def test_detail_favorite_things(self):
"""
Ensure that use can view a favorite thing detail
"""
self.login_client('test@test.com', 'pass1234')
response = self.client.get(
reverse('favorite-thing-detail',
None, {self.user1_favorite_1.pk}))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['title'], 'rice')
def test_detail_favorite_things_not_user(self):
"""
Ensure user cannot view detail of another users favorite things
"""
self.login_client('test@test.com', 'pass1234')
response = self.client.get(
reverse('favorite-thing-detail',
None, {self.user2_favorite_1.pk}))
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data['detail'], 'Not found.')
def test_favorite_things_update(self):
"""
Ensure user can update a favorite thing
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'ranking': 1,
'category': self.default_category_food.name}
response = self.client.put(
reverse('favorite-thing-detail',
None, {self.user1_favorite_1.pk}), data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['title'], 'chicken')
def test_favorite_things_update_not_user(self):
"""
Ensure user cannot update a favorite thing not created
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'ranking': 1,
'category': self.default_category_food.name}
response = self.client.put(
reverse('favorite-thing-detail',
None, {self.user2_favorite_1.pk}), data)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data['detail'], 'Not found.')
def test_favorite_things_update_category_not_user(self):
"""
Ensure user cannot update a favorite thing to a category not created
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'chicken', 'ranking': 1,
'category': self.category_phone .name}
response = self.client.put(
reverse('favorite-thing-detail',
None, {self.user1_favorite_1.pk}), data)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data['message'],
'Category unavailable - object not found')
def test_favorite_things_update_reorder_ranking(self):
"""
Ensure ranking is reordered when ranking is updated
with a ranking greater than instance
"""
self.login_client('test@test.com', 'pass1234')
data = {'ranking': 2}
response = self.client.patch(
reverse('favorite-thing-detail',
None, {self.user1_favorite_1.pk}), data)
response_list = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
print(response_list.data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['ranking'], 2)
self.assertEqual(response_list.data[1]['title'],
self.user1_favorite_1.title)
self.assertEqual(response_list.data[-1]['ranking'], 3)
self.assertEqual(response_list.data[0]['ranking'], 1)
def test_favorite_things_update_reorder_ranking_less(self):
"""
Ensure ranking is reordered when ranking is updated
with a ranking less than instance
"""
self.login_client('test@test.com', 'pass1234')
data = {'ranking': 1}
response = self.client.patch(
reverse('favorite-thing-detail',
None, {self.user1_favorite_3.pk}), data)
response_list = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
self.assertEqual(response.data['ranking'], 1)
self.assertEqual(response_list.data[0]['title'],
self.user1_favorite_3.title)
def test_favorite_things_update_reorder_ranking_sequence(self):
"""
Ensure ranking is reordered sequentially when ranking is updated
with a ranking greater than last instance
"""
self.login_client('test@test.com', 'pass1234')
data = {'ranking': 10}
response = self.client.patch(
reverse('favorite-thing-detail',
None, {self.user1_favorite_2.pk}), data)
response_list = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
self.assertEqual(response.data['ranking'], 3)
self.assertEqual(response_list.data[-1]['ranking'], 3)
def test_favorite_things_update_duplicate(self):
"""
Ensure that duplicate favorite thing are not created
"""
self.login_client('test@test.com', 'pass1234')
data = {'title': 'beans', 'ranking': 2}
response = self.client.patch(
reverse('favorite-thing-detail',
None, {self.user1_favorite_1.pk}), data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertRaises(serializers.ValidationError)
def test_favorite_things_delete(self):
"""
Ensure that favorite thing is deleted and reordered
"""
self.login_client('test@test.com', 'pass1234')
response = self.client.delete(
reverse('favorite-thing-detail',
None, {self.user1_favorite_2.pk}))
response_list = self.client.get(
reverse('favorite-things-category',
None, {self.default_category_food.pk}))
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(response_list.data[-1]['ranking'], 2)
| 43.72963 | 76 | 0.62861 | 1,333 | 11,807 | 5.390848 | 0.102776 | 0.089758 | 0.131227 | 0.050237 | 0.879349 | 0.849847 | 0.813665 | 0.787225 | 0.765795 | 0.724882 | 0 | 0.022388 | 0.250953 | 11,807 | 269 | 77 | 43.892193 | 0.79014 | 0.107479 | 0 | 0.661111 | 0 | 0 | 0.154206 | 0.035241 | 0 | 0 | 0 | 0 | 0.255556 | 1 | 0.111111 | false | 0.105556 | 0.022222 | 0 | 0.138889 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
db2ca8b8dd0c70be195157b507bd746619d1334c | 9,875 | py | Python | pydsm/NTFdesign/tests/test_NTFdesign_minmax.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | pydsm/NTFdesign/tests/test_NTFdesign_minmax.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | pydsm/NTFdesign/tests/test_NTFdesign_minmax.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2013, Sergio Callegari
# All rights reserved.
# This file is part of PyDSM.
# PyDSM is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# PyDSM is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with PyDSM. If not, see <http://www.gnu.org/licenses/>.
from __future__ import division, print_function
from numpy.testing import TestCase, run_module_suite, dec
import numpy as np
from pydsm.NTFdesign import ntf_fir_minmax
from nose.plugins.skip import SkipTest
__all__ = ["TestSynthesizeNTFminmax"]
class TestSynthesizeNTFminmax(TestCase):
def setUp(self):
pass
def test_LP8_tinoco(self):
try:
import cvxpy_tinoco # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy_old' not installed")
z, p, k = ntf_fir_minmax(order=8, show_progress=False,
modeler='cvxpy_old')
e_k = 1
e_z = [990.349427225477e-003 + 69.0500612157020e-003j,
990.349427225477e-003 - 69.0500612157020e-003j,
166.532844346146e-003 + 591.251073811726e-003j,
166.532844346146e-003 - 591.251073811726e-003j,
-259.915617496087e-003 + 503.342225950477e-003j,
-259.915617496087e-003 - 503.342225950477e-003j,
-512.031157651993e-003 + 194.699627385223e-003j,
-512.031157651993e-003 - 194.699627385223e-003j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=2e-4)
def test_BP8_tinoco(self):
try:
import cvxpy_tinoco # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy_old' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=32, f0=0.2, show_progress=False,
modeler='cvxpy_old')
e_k = 1
e_z = [2.94348009789963e-01 + 9.14543800193135e-01j,
2.94348009789963e-01 - 9.14543800193135e-01j,
6.76745367518838e-01 + 0.00000000000000e+00j,
2.46816733211163e-01 + 5.50000475735513e-01j,
2.46816733211163e-01 - 5.50000475735513e-01j,
-4.58884378359569e-01 + 4.10643263860101e-01j,
-4.58884378359569e-01 - 4.10643263860101e-01j,
-5.91022020183929e-01 + 0.00000000000000e+00j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=2e-4)
def test_MB16_tinoco(self):
try:
import cvxpy_tinoco # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy_old' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=64, f0=[0.1, 0.2],
show_progress=False, modeler='cvxpy_old')
e_k = 1
e_z = [7.201593591543093e-01 + 4.847692940420519e-01j,
7.201593591543093e-01 - 4.847692940420519e-01j,
2.503311061929155e-01 + 8.210993460982702e-01j,
2.503311061929155e-01 - 8.210993460982702e-01j,
-4.140998358546186e-01 + 4.504982522544850e-01j,
-4.140998358546186e-01 - 4.504982522544850e-01j,
-5.755598430642412e-01,
-1.159555247895333e-01]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=1e-3, atol=3e-2)
def test_LP8_picos(self):
try:
import picos # analysis:ignore
except:
raise SkipTest("Modeler 'picos' not installed")
z, p, k = ntf_fir_minmax(order=8, show_progress=False,
modeler='picos')
e_k = 1
e_z = [990.349427225477e-003 + 69.0500612157020e-003j,
990.349427225477e-003 - 69.0500612157020e-003j,
166.532844346146e-003 + 591.251073811726e-003j,
166.532844346146e-003 - 591.251073811726e-003j,
-259.915617496087e-003 + 503.342225950477e-003j,
-259.915617496087e-003 - 503.342225950477e-003j,
-512.031157651993e-003 + 194.699627385223e-003j,
-512.031157651993e-003 - 194.699627385223e-003j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=1e-3)
def test_BP8_picos(self):
try:
import picos # analysis:ignore
except:
raise SkipTest("Modeler 'picos' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=32, f0=0.2, show_progress=False,
modeler='picos')
e_k = 1
e_z = [2.94348009789963e-01 + 9.14543800193135e-01j,
2.94348009789963e-01 - 9.14543800193135e-01j,
6.76745367518838e-01 + 0.00000000000000e+00j,
2.46816733211163e-01 + 5.50000475735513e-01j,
2.46816733211163e-01 - 5.50000475735513e-01j,
-4.58884378359569e-01 + 4.10643263860101e-01j,
-4.58884378359569e-01 - 4.10643263860101e-01j,
-5.91022020183929e-01 + 0.00000000000000e+00j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=2e-4)
def test_MB16_picos(self):
try:
import picos # analysis:ignore
except:
raise SkipTest("Modeler 'picos' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=64, f0=[0.1, 0.2],
show_progress=False,
modeler='picos')
e_k = 1
e_z = [7.201593591543093e-01 + 4.847692940420519e-01j,
7.201593591543093e-01 - 4.847692940420519e-01j,
2.503311061929155e-01 + 8.210993460982702e-01j,
2.503311061929155e-01 - 8.210993460982702e-01j,
-4.140998358546186e-01 + 4.504982522544850e-01j,
-4.140998358546186e-01 - 4.504982522544850e-01j,
-5.755598430642412e-01,
-1.159555247895333e-01]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=1e-3, atol=3e-2)
@dec.slow
def test_LP8_cvxpy(self):
try:
import cvxpy # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy' not installed")
z, p, k = ntf_fir_minmax(order=8, show_progress=False,
modeler='cvxpy')
e_k = 1
e_z = [990.349427225477e-003 + 69.0500612157020e-003j,
990.349427225477e-003 - 69.0500612157020e-003j,
166.532844346146e-003 + 591.251073811726e-003j,
166.532844346146e-003 - 591.251073811726e-003j,
-259.915617496087e-003 + 503.342225950477e-003j,
-259.915617496087e-003 - 503.342225950477e-003j,
-512.031157651993e-003 + 194.699627385223e-003j,
-512.031157651993e-003 - 194.699627385223e-003j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=1e-3)
@dec.slow
def test_BP8_cvxpy(self):
try:
import cvxpy # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=32, f0=0.2, show_progress=False,
modeler='cvxpy')
e_k = 1
e_z = [2.94348009789963e-01 + 9.14543800193135e-01j,
2.94348009789963e-01 - 9.14543800193135e-01j,
6.76745367518838e-01 + 0.00000000000000e+00j,
2.46816733211163e-01 + 5.50000475735513e-01j,
2.46816733211163e-01 - 5.50000475735513e-01j,
-4.58884378359569e-01 + 4.10643263860101e-01j,
-4.58884378359569e-01 - 4.10643263860101e-01j,
-5.91022020183929e-01 + 0.00000000000000e+00j]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=2e-4)
@dec.slow
def test_MB16_cvxpy(self):
try:
import cvxpy # analysis:ignore
except:
raise SkipTest("Modeler 'cvxpy' not installed")
z, p, k = ntf_fir_minmax(order=8, osr=64, f0=[0.1, 0.2],
show_progress=False,
modeler='cvxpy')
e_k = 1
e_z = [7.201593591543093e-01 + 4.847692940420519e-01j,
7.201593591543093e-01 - 4.847692940420519e-01j,
2.503311061929155e-01 + 8.210993460982702e-01j,
2.503311061929155e-01 - 8.210993460982702e-01j,
-4.140998358546186e-01 + 4.504982522544850e-01j,
-4.140998358546186e-01 - 4.504982522544850e-01j,
-5.755598430642412e-01,
-1.159555247895333e-01]
e_z = np.sort(e_z)
z = np.sort(z)
np.testing.assert_allclose(k, e_k, rtol=1e-6)
np.testing.assert_allclose(z, e_z, rtol=1e-3, atol=3e-2)
if __name__ == '__main__':
run_module_suite()
| 42.200855 | 78 | 0.588253 | 1,224 | 9,875 | 4.624183 | 0.155229 | 0.012721 | 0.022261 | 0.073145 | 0.855477 | 0.850883 | 0.840989 | 0.840989 | 0.840989 | 0.840989 | 0 | 0.371937 | 0.305722 | 9,875 | 233 | 79 | 42.381974 | 0.453617 | 0.085063 | 0 | 0.892857 | 0 | 0 | 0.040062 | 0.002552 | 0 | 0 | 0 | 0 | 0.091837 | 1 | 0.05102 | false | 0.005102 | 0.071429 | 0 | 0.127551 | 0.005102 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
c005a60f389a5e9d4cb562f1a8ec10fed9ff93cf | 21,474 | py | Python | dataset.py | ndkgit339/FastSpeech2-filled_pause_speech_synthesis | dc8742704df20be325570f3c497f36815e0d72f2 | [
"MIT"
] | null | null | null | dataset.py | ndkgit339/FastSpeech2-filled_pause_speech_synthesis | dc8742704df20be325570f3c497f36815e0d72f2 | [
"MIT"
] | null | null | null | dataset.py | ndkgit339/FastSpeech2-filled_pause_speech_synthesis | dc8742704df20be325570f3c497f36815e0d72f2 | [
"MIT"
] | null | null | null | import json
import math
import os
import numpy as np
from torch.utils.data import Dataset
from text import symbols, text_to_sequence
from utils.tools import pad_1D, pad_2D
def convert_lab_available(lab):
if lab == "sil":
lab = ""
elif lab == "A":
lab = "a"
elif lab == "I":
lab = "i"
elif lab == "U":
lab = "u"
elif lab == "E":
lab = "e"
elif lab == "O":
lab = "o"
elif lab == "cl":
lab = "q"
elif lab == "pau":
lab = "sp"
elif lab == "v":
lab = "b"
return lab
class Dataset(Dataset):
def __init__(
self, filename, preprocess_config, train_config, sort=False, drop_last=False
):
self.dataset_name = preprocess_config["dataset"]
self.preprocessed_path = preprocess_config["path"]["preprocessed_path"]
self.cleaners = preprocess_config["preprocessing"]["text"]["text_cleaners"]
self.batch_size = train_config["optimizer"]["batch_size"]
self.symbol_to_id = {s: i for i, s in enumerate(symbols)}
self.use_accent = preprocess_config["preprocessing"]["accent"]["use_accent"]
self.accent_to_id = {'0':0, '[':1, ']':2, '#':3}
# Use fp tag
self.preprocess_use_fp_tag = preprocess_config["preprocessing"]["use_fp_tag"]
self.train_use_fp_tag = train_config["use_fp_tag"]
if self.train_use_fp_tag:
self.basename, self.speaker, self.text, self.raw_text, self.fp_tag = \
self.process_meta(filename)
else:
self.basename, self.speaker, self.text, self.raw_text = self.process_meta(
filename)
with open(os.path.join(self.preprocessed_path, "speakers.json")) as f:
self.speaker_map = json.load(f)
self.sort = sort
self.drop_last = drop_last
def __len__(self):
return len(self.text)
def __getitem__(self, idx):
basename = self.basename[idx]
speaker = self.speaker[idx]
speaker_id = self.speaker_map[speaker]
raw_text = self.raw_text[idx]
phone = np.array([self.symbol_to_id[t] for t in self.text[idx].replace("{", "").replace("}", "").split()])
if self.use_accent:
with open(os.path.join(self.preprocessed_path, "accent",basename+ '.accent')) as f:
accent = f.read()
accent = [self.accent_to_id[t] for t in accent]
accent = np.array(accent[:len(phone)])
mel_path = os.path.join(
self.preprocessed_path,
"mel",
"{}-mel-{}.npy".format(speaker, basename),
)
mel = np.load(mel_path)
pitch_path = os.path.join(
self.preprocessed_path,
"pitch",
"{}-pitch-{}.npy".format(speaker, basename),
)
pitch = np.load(pitch_path)
energy_path = os.path.join(
self.preprocessed_path,
"energy",
"{}-energy-{}.npy".format(speaker, basename),
)
energy = np.load(energy_path)
duration_path = os.path.join(
self.preprocessed_path,
"duration",
"{}-duration-{}.npy".format(speaker, basename),
)
duration = np.load(duration_path)
sample = {
"id": basename,
"speaker": speaker_id,
"text": phone,
"raw_text": raw_text,
"mel": mel,
"pitch": pitch,
"energy": energy,
"duration": duration,
}
if self.use_accent:
sample["accent"] = accent
if self.train_use_fp_tag:
fp_tag = np.array(
[int(f) for f in self.fp_tag[idx].split(" ")])
sample["fp_tag"] = fp_tag
return sample
def process_meta(self, filename):
with open(
os.path.join(self.preprocessed_path, filename), "r", encoding="utf-8"
) as f:
name = []
speaker = []
text = []
raw_text = []
fp_tag = []
for line in f.readlines():
if self.preprocess_use_fp_tag:
n, s, t, r, f = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
fp_tag.append(f)
else:
n, s, t, r = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
if self.train_use_fp_tag:
return name, speaker, text, raw_text, fp_tag
else:
return name, speaker, text, raw_text
def reprocess(self, data, idxs):
ids = [data[idx]["id"] for idx in idxs]
speakers = [data[idx]["speaker"] for idx in idxs]
texts = [data[idx]["text"] for idx in idxs]
raw_texts = [data[idx]["raw_text"] for idx in idxs]
mels = [data[idx]["mel"] for idx in idxs]
pitches = [data[idx]["pitch"] for idx in idxs]
energies = [data[idx]["energy"] for idx in idxs]
durations = [data[idx]["duration"] for idx in idxs]
if self.use_accent:
accents = [data[idx]["accent"] for idx in idxs]
text_lens = np.array([text.shape[0] for text in texts])
mel_lens = np.array([mel.shape[0] for mel in mels])
speakers = np.array(speakers)
texts = pad_1D(texts)
mels = pad_2D(mels)
pitches = pad_1D(pitches)
energies = pad_1D(energies)
durations = pad_1D(durations)
if self.train_use_fp_tag:
fp_tags = pad_1D([data[idx]["fp_tag"] for idx in idxs])
fp_tags = np.expand_dims(fp_tags, axis=2)
if self.use_accent:
accents = pad_1D(accents)
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
accents,
fp_tags
)
else:
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
fp_tags
)
else:
if self.use_accent:
accents = pad_1D(accents)
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
accents
)
else:
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations
)
def collate_fn(self, data):
data_size = len(data)
if self.sort:
len_arr = np.array([d["text"].shape[0] for d in data])
idx_arr = np.argsort(-len_arr)
else:
idx_arr = np.arange(data_size)
tail = idx_arr[len(idx_arr) - (len(idx_arr) % self.batch_size) :]
idx_arr = idx_arr[: len(idx_arr) - (len(idx_arr) % self.batch_size)]
idx_arr = idx_arr.reshape((-1, self.batch_size)).tolist()
if not self.drop_last and len(tail) > 0:
idx_arr += [tail.tolist()]
output = list()
for idx in idx_arr:
output.append(self.reprocess(data, idx))
return output
class DatasetForTest(Dataset):
def __init__(
self, filename, preprocess_config, train_config, sort=False, drop_last=False
):
self.dataset_name = preprocess_config["dataset"]
self.preprocessed_path = preprocess_config["path"]["preprocessed_path"]
self.cleaners = preprocess_config["preprocessing"]["text"]["text_cleaners"]
self.batch_size = train_config["optimizer"]["batch_size"]
self.symbol_to_id = {s: i for i, s in enumerate(symbols)}
self.use_accent = preprocess_config["preprocessing"]["accent"]["use_accent"]
self.accent_to_id = {'0':0, '[':1, ']':2, '#':3}
self.preprocess_with_tag = preprocess_config["preprocessing"]["with_tag"]
self.with_tag = train_config["with_tag"]
if self.with_tag:
self.basename, self.speaker, self.text, self.raw_text, self.filler_tag = self.process_meta(
filename
)
else:
self.basename, self.speaker, self.text, self.raw_text = self.process_meta(
filename
)
with open(os.path.join(self.preprocessed_path, "speakers.json")) as f:
self.speaker_map = json.load(f)
def __len__(self):
return len(self.text)
def __getitem__(self, idx):
basename = self.basename[idx]
speaker = self.speaker[idx]
speaker_id = self.speaker_map[speaker]
raw_text = self.raw_text[idx]
phone = np.array([self.symbol_to_id[t] for t in self.text[idx].replace("{", "").replace("}", "").split()])
if self.use_accent:
with open(os.path.join(self.preprocessed_path, "accent",basename+ '.accent')) as f:
accent = f.read()
accent = [self.accent_to_id[t] for t in accent]
#### Matsunaga ####
# assert len(phone) == len(accent)
accent = np.array(accent[:len(phone)])
mel_path = os.path.join(
self.preprocessed_path,
"mel",
"{}-mel-{}.npy".format(speaker, basename),
)
mel = np.load(mel_path)
pitch_path = os.path.join(
self.preprocessed_path,
"pitch",
"{}-pitch-{}.npy".format(speaker, basename),
)
pitch = np.load(pitch_path)
energy_path = os.path.join(
self.preprocessed_path,
"energy",
"{}-energy-{}.npy".format(speaker, basename),
)
energy = np.load(energy_path)
duration_path = os.path.join(
self.preprocessed_path,
"duration",
"{}-duration-{}.npy".format(speaker, basename),
)
duration = np.load(duration_path)
sample = {
"id": basename,
"speaker": speaker_id,
"text": phone,
"raw_text": raw_text,
"mel": mel,
"pitch": pitch,
"energy": energy,
"duration": duration,
}
if self.use_accent:
sample["accent"] = accent
if self.with_tag:
filler_tag = np.array([int(f) for f in self.filler_tag[idx].split(" ")])
sample["f_tag"] = filler_tag
return sample
def process_meta(self, filename):
with open(
os.path.join(self.preprocessed_path, filename), "r", encoding="utf-8"
) as f:
name = []
speaker = []
text = []
raw_text = []
filler_tag = []
for line in f.readlines():
if self.preprocess_with_tag:
n, s, t, r, f = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
filler_tag.append(f)
else:
n, s, t, r = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
if self.with_tag:
return name, speaker, text, raw_text, filler_tag
else:
return name, speaker, text, raw_text
def collate_fn(self, data):
ids = [d["id"] for d in data]
speakers = [d["speaker"] for d in data]
texts = [d["text"] for d in data]
raw_texts = [d["raw_text"] for d in data]
mels = [d["mel"] for d in data]
pitches = [d["pitch"] for d in data]
energies = [d["energy"] for d in data]
durations = [d["duration"] for d in data]
if self.use_accent:
accents = [d["accent"] for d in data]
text_lens = np.array([text.shape[0] for text in texts])
mel_lens = np.array([mel.shape[0] for mel in mels])
speakers = np.array(speakers)
texts = pad_1D(texts)
mels = pad_2D(mels)
pitches = pad_1D(pitches)
energies = pad_1D(energies)
durations = pad_1D(durations)
if self.with_tag:
filler_tags = pad_1D([d["f_tag"] for d in data])
filler_tags = np.expand_dims(filler_tags, axis=2)
if self.with_tag:
if self.use_accent:
accents = pad_1D(accents)
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
accents,
filler_tags
)
else:
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
filler_tags
)
else:
if self.use_accent:
accents = pad_1D(accents)
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
accents,
)
else:
return (
ids,
raw_texts,
speakers,
texts,
text_lens,
max(text_lens),
mels,
mel_lens,
max(mel_lens),
pitches,
energies,
durations,
)
class TextDataset(Dataset):
def __init__(self, filepath, preprocess_config, train_config):
self.cleaners = preprocess_config["preprocessing"]["text"]["text_cleaners"]
self.preprocessed_path = preprocess_config["path"]["preprocessed_path"]
self.symbol_to_id = {s: i for i, s in enumerate(symbols)}
self.preprocess_use_fp_tag = preprocess_config["preprocessing"]["use_fp_tag"]
self.train_use_fp_tag = train_config["use_fp_tag"]
if self.train_use_fp_tag:
self.basename, self.speaker, self.text, self.raw_text, self.fp_tag = \
self.process_meta(filepath)
else:
self.basename, self.speaker, self.text, self.raw_text = \
self.process_meta(filepath)
with open(
os.path.join(
preprocess_config["path"]["preprocessed_path"], "speakers.json"
)
) as f:
self.speaker_map = json.load(f)
self.use_accent = preprocess_config["preprocessing"]["accent"]["use_accent"]
self.accent_to_id = {'0':0, '[':1, ']':2, '#':3}
def __len__(self):
return len(self.text)
def __getitem__(self, idx):
basename = self.basename[idx]
speaker = self.speaker[idx]
speaker_id = self.speaker_map[speaker]
raw_text = self.raw_text[idx]
phone = np.array([self.symbol_to_id[convert_lab_available(t)] for t in self.text[idx].replace("{", "").replace("}", "").split()])
accent = None
if self.use_accent:
with open(os.path.join(self.preprocessed_path, "accent",basename+ '.accent')) as f:
accent = f.read()
accent = [self.accent_to_id[t] for t in accent]
accent = np.array(accent[:len(phone)])
if self.train_use_fp_tag:
fp_tag = np.array([int(f) for f in self.fp_tag[idx].split(" ")])
assert len(phone) == len(fp_tag), \
"phone length {}, ftag length {}, should be equal".format(
len(phone), len(fp_tag))
return (basename, speaker_id, phone, raw_text, accent, fp_tag)
else:
return (basename, speaker_id, phone, raw_text, accent)
def process_meta(self, filename):
with open(filename, "r", encoding="utf-8") as f:
name = []
speaker = []
text = []
raw_text = []
fp_tag = []
for line in f.readlines():
if self.preprocess_use_fp_tag:
n, s, t, r, f = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
fp_tag.append(f)
assert len(t.split(" ")) == len(f.split(" "))
else:
n, s, t, r = line.strip("\n").split("|")
name.append(n)
speaker.append(s)
text.append(t)
raw_text.append(r)
if self.train_use_fp_tag:
return name, speaker, text, raw_text, fp_tag
else:
return name, speaker, text, raw_text
def collate_fn(self, data):
ids = [d[0] for d in data]
speakers = np.array([d[1] for d in data])
texts = [d[2] for d in data]
raw_texts = [d[3] for d in data]
text_lens = np.array([text.shape[0] for text in texts])
if self.use_accent:
accents = pad_1D([d[4] for d in data])
texts = pad_1D(texts)
if self.train_use_fp_tag:
fp_tags = pad_1D([d[5] for d in data])
fp_tags = np.expand_dims(fp_tags, axis=2)
if self.use_accent:
return ids, raw_texts, speakers, texts, text_lens, max(text_lens), accents, fp_tags
else:
return ids, raw_texts, speakers, texts, text_lens, max(text_lens), fp_tags
else:
if self.use_accent:
return ids, raw_texts, speakers, texts, text_lens, max(text_lens), accents
else:
return ids, raw_texts, speakers, texts, text_lens, max(text_lens), accents
if __name__ == "__main__":
# Test
import torch
import yaml
from torch.utils.data import DataLoader
from utils.utils import to_device
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
preprocess_config = yaml.load(
open("./config/LJSpeech/preprocess.yaml", "r"), Loader=yaml.FullLoader
)
train_config = yaml.load(
open("./config/LJSpeech/train.yaml", "r"), Loader=yaml.FullLoader
)
train_dataset = Dataset(
"train.txt", preprocess_config, train_config, sort=True, drop_last=True
)
val_dataset = Dataset(
"val.txt", preprocess_config, train_config, sort=False, drop_last=False
)
train_loader = DataLoader(
train_dataset,
batch_size=train_config["optimizer"]["batch_size"] * 4,
shuffle=True,
collate_fn=train_dataset.collate_fn,
)
val_loader = DataLoader(
val_dataset,
batch_size=train_config["optimizer"]["batch_size"],
shuffle=False,
collate_fn=val_dataset.collate_fn,
)
n_batch = 0
for batchs in train_loader:
for batch in batchs:
to_device(batch, device)
n_batch += 1
print(
"Training set with size {} is composed of {} batches.".format(
len(train_dataset), n_batch
)
)
n_batch = 0
for batchs in val_loader:
for batch in batchs:
to_device(batch, device)
n_batch += 1
print(
"Validation set with size {} is composed of {} batches.".format(
len(val_dataset), n_batch
)
)
| 33.870662 | 137 | 0.491106 | 2,379 | 21,474 | 4.23119 | 0.074401 | 0.018379 | 0.0151 | 0.016889 | 0.816908 | 0.783529 | 0.760779 | 0.74548 | 0.728393 | 0.698391 | 0 | 0.004706 | 0.396386 | 21,474 | 633 | 138 | 33.924171 | 0.771872 | 0.002748 | 0 | 0.706503 | 0 | 0 | 0.058216 | 0.00285 | 0 | 0 | 0 | 0 | 0.003515 | 1 | 0.029877 | false | 0 | 0.019332 | 0.005272 | 0.101933 | 0.003515 | 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 |
c0317880888301aafc02476c76489682b900f43b | 5,222 | py | Python | my_bookshelf/my_bookshelf/web_app/forms.py | vhadzhiev/my_bookshelf | 0265e44616a027b406bc1914232ed00ed0b85b57 | [
"MIT"
] | null | null | null | my_bookshelf/my_bookshelf/web_app/forms.py | vhadzhiev/my_bookshelf | 0265e44616a027b406bc1914232ed00ed0b85b57 | [
"MIT"
] | null | null | null | my_bookshelf/my_bookshelf/web_app/forms.py | vhadzhiev/my_bookshelf | 0265e44616a027b406bc1914232ed00ed0b85b57 | [
"MIT"
] | null | null | null | from django import forms
from django.core.exceptions import ValidationError
from my_bookshelf.web_app.models import Book, Bookshelf
BOOK_ISBN_EXCEPTION_MESSAGE = 'You have already added a book with this ISBN.'
BOOKSHELF_TITLE_EXCEPTION_MESSAGE = 'You have already created a bookshelf with this title.'
class BookCreateForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
super().__init__(*args, **kwargs)
def clean_isbn(self):
isbn = self.cleaned_data['isbn']
try:
Book.objects.get(isbn=isbn, user_id=self.user.id)
except Book.DoesNotExist:
pass
else:
raise ValidationError(BOOK_ISBN_EXCEPTION_MESSAGE)
return isbn
class Meta:
model = Book
exclude = ('user',)
widgets = {
'title': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s title',
},
),
'author': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s author',
},
),
'isbn': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s ISBN',
},
),
'summary': forms.Textarea(
attrs={
'placeholder': 'Enter book\'s summary',
'rows': 10,
},
),
}
class BookEditForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
self.isbn = kwargs.pop('isbn')
super().__init__(*args, **kwargs)
def clean_isbn(self):
isbn = self.isbn
new_isbn = self.cleaned_data['isbn']
if new_isbn != isbn:
try:
Book.objects.get(isbn=new_isbn, user_id=self.user.id)
except Book.DoesNotExist:
pass
else:
raise ValidationError(BOOK_ISBN_EXCEPTION_MESSAGE)
return new_isbn
class Meta:
model = Book
exclude = ('user',)
widgets = {
'title': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s title',
},
),
'author': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s author',
},
),
'isbn': forms.TextInput(
attrs={
'placeholder': 'Enter book\'s ISBN',
},
),
'summary': forms.Textarea(
attrs={
'placeholder': 'Enter book\'s summary',
'rows': 10,
},
),
}
class BookshelfCreateForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
super().__init__(*args, **kwargs)
if self.user:
self.fields['books'].queryset = Book.objects.filter(user_id=self.user.id).order_by('-date_added')
def clean_title(self):
title = self.cleaned_data['title']
try:
Bookshelf.objects.get(title=title, user_id=self.user.id)
except Bookshelf.DoesNotExist:
pass
else:
raise ValidationError(BOOKSHELF_TITLE_EXCEPTION_MESSAGE)
return title
class Meta:
model = Bookshelf
exclude = ('user',)
widgets = {
'title': forms.TextInput(
attrs={
'placeholder': 'Enter bookshelf\'s title',
},
),
'description': forms.Textarea(
attrs={
'placeholder': 'Enter bookshelf\'s description',
'rows': 5,
},
),
'books': forms.CheckboxSelectMultiple(),
}
class BookshelfEditForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
self.title = kwargs.pop('title')
super().__init__(*args, **kwargs)
if self.user:
self.fields['books'].queryset = Book.objects.filter(user_id=self.user.id).order_by('-date_added')
def clean_title(self):
title = self.title
new_title = self.cleaned_data['title']
if new_title != title:
try:
Bookshelf.objects.get(title=new_title, user_id=self.user.id)
except Bookshelf.DoesNotExist:
pass
else:
raise ValidationError(BOOKSHELF_TITLE_EXCEPTION_MESSAGE)
return new_title
class Meta:
model = Bookshelf
exclude = ('user',)
widgets = {
'title': forms.TextInput(
attrs={
'placeholder': 'Enter bookshelf\'s title',
},
),
'description': forms.Textarea(
attrs={
'placeholder': 'Enter bookshelf\'s description',
'rows': 5,
},
),
'books': forms.CheckboxSelectMultiple(),
}
| 30.011494 | 109 | 0.492915 | 467 | 5,222 | 5.344754 | 0.167024 | 0.038462 | 0.100962 | 0.096154 | 0.863782 | 0.811699 | 0.766026 | 0.766026 | 0.766026 | 0.766026 | 0 | 0.001896 | 0.39391 | 5,222 | 173 | 110 | 30.184971 | 0.78673 | 0 | 0 | 0.718954 | 0 | 0 | 0.110111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052288 | false | 0.026144 | 0.019608 | 0 | 0.150327 | 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 |
fbe82365ff544c26d65f850dea16098fdbfa45d8 | 2,466 | py | Python | src/dynamic_programming/python/can_sum/tests/test_can_sum.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | 2 | 2021-05-31T13:01:33.000Z | 2021-12-20T19:48:18.000Z | src/dynamic_programming/python/can_sum/tests/test_can_sum.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | null | null | null | src/dynamic_programming/python/can_sum/tests/test_can_sum.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | null | null | null | import unittest
import os
import sys
file_dir = os.path.dirname(os.path.dirname(__file__))
sys.path.append(file_dir + "/src")
from can_sum import can_sum_basic, can_sum_memo, can_sum_table
class TestCanSumBasic(unittest.TestCase):
def test_negative_1(self):
numbers = [2, 2, 4]
target = 7
result = False
self.assertEqual(can_sum_basic(target, numbers), result)
def test_negative_2(self):
numbers = [3, 5, 9, 10]
target = 1
result = False
self.assertEqual(can_sum_basic(target, numbers), result)
def test_positive_1(self):
numbers = [3, 3, 8, 9, 11]
target = 20
result = True
self.assertEqual(can_sum_basic(target, numbers), result)
def test_positive_2(self):
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
target = 25
result = True
self.assertEqual(can_sum_basic(target, numbers), result)
class TestCanSumMemo(unittest.TestCase):
def test_negative_1(self):
numbers = [2, 2, 4]
target = 7
result = False
self.assertEqual(can_sum_memo(target, numbers), result)
def test_negative_2(self):
numbers = [3, 5, 9, 10]
target = 1
result = False
self.assertEqual(can_sum_memo(target, numbers), result)
def test_positive_1(self):
numbers = [3, 3, 8, 9, 11]
target = 20
result = True
self.assertEqual(can_sum_memo(target, numbers), result)
def test_positive_2(self):
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
target = 25
result = True
self.assertEqual(can_sum_memo(target, numbers), result)
class TestCanSumTab(unittest.TestCase):
def test_negative_1(self):
numbers = [2, 2, 4]
target = 7
result = False
self.assertEqual(can_sum_table(target, numbers), result)
def test_negative_2(self):
numbers = [3, 5, 9, 10]
target = 1
result = False
self.assertEqual(can_sum_table(target, numbers), result)
def test_positive_1(self):
numbers = [3, 3, 8, 9, 11]
target = 20
result = True
self.assertEqual(can_sum_table(target, numbers), result)
def test_positive_2(self):
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
target = 25
result = True
self.assertEqual(can_sum_table(target, numbers), result)
if __name__ == "__main__":
unittest.main()
| 26.804348 | 64 | 0.602595 | 333 | 2,466 | 4.255255 | 0.144144 | 0.067749 | 0.152435 | 0.177841 | 0.846154 | 0.846154 | 0.846154 | 0.846154 | 0.846154 | 0.846154 | 0 | 0.059693 | 0.286699 | 2,466 | 91 | 65 | 27.098901 | 0.745878 | 0 | 0 | 0.84507 | 0 | 0 | 0.004866 | 0 | 0 | 0 | 0 | 0 | 0.169014 | 1 | 0.169014 | false | 0 | 0.056338 | 0 | 0.267606 | 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 |
2222b5565b2caccabd1d150862357a8abccfb62b | 2,050 | py | Python | loudml/requests.py | toni-moreno/loudml | 0252b6792393fc46f2dc9c1da25dd89fc27a5fa4 | [
"Apache-2.0"
] | 245 | 2018-01-30T08:11:53.000Z | 2022-03-26T07:17:42.000Z | loudml/requests.py | robcowart/loudml | 0008baef02259a8ae81dd210d3f91a51ffc9ed9f | [
"Apache-2.0"
] | 620 | 2018-01-28T22:58:24.000Z | 2022-03-13T13:40:42.000Z | loudml/requests.py | robcowart/loudml | 0008baef02259a8ae81dd210d3f91a51ffc9ed9f | [
"Apache-2.0"
] | 97 | 2018-03-06T14:44:26.000Z | 2022-03-24T01:57:31.000Z | from loudml import errors
import requests
from urllib.parse import urlencode
DEFAULT_REQUEST_TIMEOUT = 5
def perform_request(
base_url,
method,
url,
session,
params=None,
body=None,
timeout=None,
ignore=(),
headers=None
):
url = base_url + url
if params:
url = '%s?%s' % (url, urlencode(params or {}))
request = requests.Request(
method=method, headers=headers, url=url, json=body)
prepared_request = session.prepare_request(request)
settings = session.merge_environment_settings(
prepared_request.url, {}, None, None, None)
send_kwargs = {'timeout': timeout}
send_kwargs.update(settings)
try:
response = session.send(prepared_request, **send_kwargs)
except Exception as e:
if isinstance(e, requests.exceptions.SSLError):
raise errors.SSLError('N/A', str(e), e)
if isinstance(e, requests.Timeout):
raise errors.ConnectionTimeout('TIMEOUT', str(e), e)
raise errors.ConnectionError('N/A', str(e), e)
return response
def perform_data_request(
base_url,
method,
url,
session,
params=None,
body=None,
timeout=None,
ignore=(),
headers=None
):
url = base_url + url
if params:
url = '%s?%s' % (url, urlencode(params or {}))
request = requests.Request(
method=method, headers=headers, url=url, data=body)
prepared_request = session.prepare_request(request)
settings = session.merge_environment_settings(
prepared_request.url, {}, None, None, None)
send_kwargs = {'timeout': timeout}
send_kwargs.update(settings)
try:
response = session.send(prepared_request, **send_kwargs)
except Exception as e:
if isinstance(e, requests.exceptions.SSLError):
raise errors.SSLError('N/A', str(e), e)
if isinstance(e, requests.Timeout):
raise errors.ConnectionTimeout('TIMEOUT', str(e), e)
raise errors.ConnectionError('N/A', str(e), e)
return response
| 27.333333 | 64 | 0.642439 | 244 | 2,050 | 5.286885 | 0.213115 | 0.069767 | 0.023256 | 0.043411 | 0.906977 | 0.906977 | 0.906977 | 0.906977 | 0.906977 | 0.906977 | 0 | 0.000642 | 0.240488 | 2,050 | 74 | 65 | 27.702703 | 0.827874 | 0 | 0 | 0.875 | 0 | 0 | 0.02439 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.046875 | 0 | 0.109375 | 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 |
225b16762aa833988553456abd3808031ee740b6 | 504,474 | py | Python | jobs/autotest/many_code.py | abudnik/prun | 643a6bf49249e220f08317b8a4739570faf7b2ae | [
"Apache-2.0"
] | 20 | 2015-05-14T19:44:01.000Z | 2018-04-14T15:25:08.000Z | jobs/autotest/many_code.py | abudnik/prun | 643a6bf49249e220f08317b8a4739570faf7b2ae | [
"Apache-2.0"
] | 11 | 2015-04-15T19:51:06.000Z | 2017-01-03T14:57:49.000Z | jobs/autotest/many_code.py | abudnik/prun | 643a6bf49249e220f08317b8a4739570faf7b2ae | [
"Apache-2.0"
] | 7 | 2015-05-08T12:44:38.000Z | 2021-12-10T18:00:01.000Z | '''
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'''
print( "Hello, Python!" )
print( "taskId:%d, numTasks:%d" % (taskId, numTasks) )
| 70.952743 | 70 | 0.985841 | 7,114 | 504,474 | 69.908771 | 0.000984 | 1.999513 | 2.998848 | 3.997901 | 0.999897 | 0.999897 | 0.999897 | 0.999897 | 0.999897 | 0.999897 | 0 | 0.999847 | 0.01411 | 504,474 | 7,109 | 71 | 70.962723 | 0.000103 | 0.99982 | 0 | 0 | 0 | 0 | 0.433735 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 16 |
3f5f90abf54d806b90b45562e111d597c288ba54 | 149 | py | Python | ipython/startup/import_random.py | dycw/dotfiles2 | 9e23c4989e9813080da3658a8f98dbb1e03776f2 | [
"MIT"
] | null | null | null | ipython/startup/import_random.py | dycw/dotfiles2 | 9e23c4989e9813080da3658a8f98dbb1e03776f2 | [
"MIT"
] | null | null | null | ipython/startup/import_random.py | dycw/dotfiles2 | 9e23c4989e9813080da3658a8f98dbb1e03776f2 | [
"MIT"
] | null | null | null | import random # noqa: F401
from random import choice # noqa: F401
from random import sample # noqa: F401
from random import shuffle # noqa: F401
| 29.8 | 40 | 0.744966 | 22 | 149 | 5.045455 | 0.363636 | 0.288288 | 0.324324 | 0.486486 | 0.648649 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10084 | 0.201342 | 149 | 4 | 41 | 37.25 | 0.831933 | 0.288591 | 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 |
58b1edb1925d5cb0922b9a539ddad41e1f847174 | 24,266 | py | Python | common/RedfishLogo.py | edtanous/Redfish-Service-Validator | 147b289f700875ffa0a6f347827cfeec7648d5db | [
"CNRI-Python",
"Linux-OpenIB"
] | 22 | 2017-08-23T16:47:35.000Z | 2022-03-21T09:35:42.000Z | common/RedfishLogo.py | edtanous/Redfish-Service-Validator | 147b289f700875ffa0a6f347827cfeec7648d5db | [
"CNRI-Python",
"Linux-OpenIB"
] | 404 | 2017-03-09T05:23:50.000Z | 2022-03-30T03:13:52.000Z | common/RedfishLogo.py | edtanous/Redfish-Service-Validator | 147b289f700875ffa0a6f347827cfeec7648d5db | [
"CNRI-Python",
"Linux-OpenIB"
] | 27 | 2017-03-06T17:33:56.000Z | 2022-03-30T21:03:25.000Z | # Copyright Notice:
# Copyright 2018-2019 DMTF. All rights reserved.
# License: BSD 3-Clause License. For full text see link: https://github.com/DMTF/Redfish-Service-Validator/blob/master/LICENSE.md
"""
Redfish Logo
File : RedfishLogo.py
Brief : This file contains the Base64 encoded image data for the Redfish Logo
"""
logo = 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"
| 1,733.285714 | 23,941 | 0.972719 | 585 | 24,266 | 40.348718 | 0.977778 | 0.000932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128463 | 0.002019 | 24,266 | 13 | 23,942 | 1,866.615385 | 0.846224 | 0.012693 | 0 | 0 | 0 | 1 | 0.999332 | 0.999332 | 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 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
58cfe7a9f936a057d52925d1bc6a7fdcc22aa712 | 4,872 | py | Python | trunk/swen610/toolshare/forms/forms_user.py | leon486/toolshare | 13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc | [
"MIT"
] | null | null | null | trunk/swen610/toolshare/forms/forms_user.py | leon486/toolshare | 13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc | [
"MIT"
] | null | null | null | trunk/swen610/toolshare/forms/forms_user.py | leon486/toolshare | 13f6ab1afb96a5f8294c121ff6916a1fcab5c2bc | [
"MIT"
] | null | null | null | from django import forms
from toolshare.models.user import User
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm, UserChangeForm
from toolshare.utils import has_numbers, is_valid_name
import re
class UserRegistrationForm(UserCreationForm):
first_name = forms.CharField(required=True)
last_name = forms.CharField(required=True)
email = forms.CharField(required=True)
zipcode = forms.CharField(required=True)
class Meta:
model = User
exclude = ['password','groups','user_permissions','is_staff','is_active','is_superuser','last_login','date_joined','share_zone']
def __init__(self, *args, **kwargs):
super(UserRegistrationForm, self).__init__(*args, **kwargs)
def clean(self):
cleaned_data = super(UserRegistrationForm, self).clean()
first_name = cleaned_data.get("first_name")
last_name = cleaned_data.get("last_name")
zipcode = cleaned_data.get("zipcode")
pickup_location = cleaned_data.get("pickup_location")
if first_name and first_name.strip() == '':
msg = 'This field is required.'
self._errors["first_name"] = self.error_class([msg])
del cleaned_data["first_name"]
if last_name and last_name.strip() == '':
msg = 'This field is required.'
self._errors["last_name"] = self.error_class([msg])
del cleaned_data["last_name"]
if first_name and not is_valid_name(first_name):
msg = 'This field does not allow numbers and special-characters'
self._errors["first_name"] = self.error_class([msg])
del cleaned_data["first_name"]
if last_name and not is_valid_name(last_name):
msg = 'This field does not allow numbers and special-characters'
self._errors["last_name"] = self.error_class([msg])
del cleaned_data["last_name"]
if zipcode and not re.search(r'^(\d{5}|\d{5}\-\d{4})$', zipcode):
msg = 'The zip-code should follow the format XXXXX or XXXXX-XXXX: (e.g., 12345 and 12345-6789)'
self._errors["zipcode"] = self.error_class([msg])
del cleaned_data["zipcode"]
if pickup_location and pickup_location.strip() == '':
msg = 'This field is required.'
self._errors["pickup_location"] = self.error_class([msg])
del cleaned_data["pickup_location"]
return cleaned_data
class ChangeUserPreferencesForm(forms.ModelForm):
class Meta:
model = User
fields = ['email_remainder_freq', 'pickup_location']
exclude = ['share_zone']
class ChangeUserForm(forms.ModelForm):
first_name = forms.CharField(required=True)
last_name = forms.CharField(required=True)
email = forms.CharField(required=True)
zipcode = forms.CharField(required=True)
class Meta:
model = User
exclude = ['username','password','groups','user_permissions','is_staff','is_active','is_superuser','last_login','date_joined','share_zone']
def __init__(self, *args, **kwargs):
super(ChangeUserForm, self).__init__(*args, **kwargs)
def clean(self):
cleaned_data = super(ChangeUserForm, self).clean()
first_name = cleaned_data.get("first_name")
last_name = cleaned_data.get("last_name")
zipcode = cleaned_data.get("zipcode")
pickup_location = cleaned_data.get("pickup_location")
if first_name and first_name.strip() == '':
msg = 'This field is required.'
self._errors["first_name"] = self.error_class([msg])
del cleaned_data["first_name"]
if last_name and last_name.strip() == '':
msg = 'This field is required.'
self._errors["last_name"] = self.error_class([msg])
del cleaned_data["last_name"]
if first_name and not is_valid_name(first_name):
msg = 'This field does not allow numbers and special-characters'
self._errors["first_name"] = self.error_class([msg])
del cleaned_data["first_name"]
if last_name and not is_valid_name(last_name):
msg = 'This field does not allow numbers and special-characters'
self._errors["last_name"] = self.error_class([msg])
del cleaned_data["last_name"]
if zipcode and not re.search(r'^(\d{5}|\d{5}\-\d{4})$', zipcode):
msg = 'The zip-code should follow the format XXXXX or XXXXX-XXXX: (e.g., 12345 and 12345-6789)'
self._errors["zipcode"] = self.error_class([msg])
del cleaned_data["zipcode"]
if pickup_location and pickup_location.strip() == '':
msg = 'This field is required.'
self._errors["pickup_location"] = self.error_class([msg])
del cleaned_data["pickup_location"]
return cleaned_data
| 42 | 147 | 0.642857 | 607 | 4,872 | 4.914333 | 0.15486 | 0.088502 | 0.056319 | 0.068388 | 0.848139 | 0.848139 | 0.848139 | 0.848139 | 0.848139 | 0.848139 | 0 | 0.009125 | 0.235222 | 4,872 | 115 | 148 | 42.365217 | 0.791465 | 0 | 0 | 0.826087 | 0 | 0.021739 | 0.232964 | 0.009031 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.021739 | 0.054348 | 0 | 0.271739 | 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 |
7a0ee4ec3827c99e895f7241f69b269e7a08f4ce | 31,505 | py | Python | PySide2/QtXml.py | arjun-namdeo/py_stubs | 605bb167e239978f5417f3f1fc1f5c12e2a243cc | [
"MIT"
] | null | null | null | PySide2/QtXml.py | arjun-namdeo/py_stubs | 605bb167e239978f5417f3f1fc1f5c12e2a243cc | [
"MIT"
] | null | null | null | PySide2/QtXml.py | arjun-namdeo/py_stubs | 605bb167e239978f5417f3f1fc1f5c12e2a243cc | [
"MIT"
] | null | null | null | class _Object(object):
__dict__ = None
class QXmlDeclHandler(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def attributeDecl(*args, **kwargs):
pass
def errorString(*args, **kwargs):
pass
def externalEntityDecl(*args, **kwargs):
pass
def internalEntityDecl(*args, **kwargs):
pass
__new__ = None
class QXmlLocator(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def columnNumber(*args, **kwargs):
pass
def lineNumber(*args, **kwargs):
pass
__new__ = None
class QDomImplementation(_Object):
def __copy__(*args, **kwargs):
pass
def __eq__(*args, **kwargs):
"""
x.__eq__(y) <==> x==y
"""
pass
def __ge__(*args, **kwargs):
"""
x.__ge__(y) <==> x>=y
"""
pass
def __gt__(*args, **kwargs):
"""
x.__gt__(y) <==> x>y
"""
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __le__(*args, **kwargs):
"""
x.__le__(y) <==> x<=y
"""
pass
def __lt__(*args, **kwargs):
"""
x.__lt__(y) <==> x<y
"""
pass
def __ne__(*args, **kwargs):
"""
x.__ne__(y) <==> x!=y
"""
pass
def createDocument(*args, **kwargs):
pass
def createDocumentType(*args, **kwargs):
pass
def hasFeature(*args, **kwargs):
pass
def isNull(*args, **kwargs):
pass
def invalidDataPolicy(*args, **kwargs):
pass
def setInvalidDataPolicy(*args, **kwargs):
pass
AcceptInvalidChars = None
DropInvalidChars = None
InvalidDataPolicy = None
ReturnNullNode = None
__new__ = None
class QXmlParseException(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def columnNumber(*args, **kwargs):
pass
def lineNumber(*args, **kwargs):
pass
def message(*args, **kwargs):
pass
def publicId(*args, **kwargs):
pass
def systemId(*args, **kwargs):
pass
__new__ = None
class QDomNode(_Object):
def __copy__(*args, **kwargs):
pass
def __eq__(*args, **kwargs):
"""
x.__eq__(y) <==> x==y
"""
pass
def __ge__(*args, **kwargs):
"""
x.__ge__(y) <==> x>=y
"""
pass
def __gt__(*args, **kwargs):
"""
x.__gt__(y) <==> x>y
"""
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __le__(*args, **kwargs):
"""
x.__le__(y) <==> x<=y
"""
pass
def __lshift__(*args, **kwargs):
"""
x.__lshift__(y) <==> x<<y
"""
pass
def __lt__(*args, **kwargs):
"""
x.__lt__(y) <==> x<y
"""
pass
def __ne__(*args, **kwargs):
"""
x.__ne__(y) <==> x!=y
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def __rlshift__(*args, **kwargs):
"""
x.__rlshift__(y) <==> y<<x
"""
pass
def appendChild(*args, **kwargs):
pass
def attributes(*args, **kwargs):
pass
def childNodes(*args, **kwargs):
pass
def clear(*args, **kwargs):
pass
def cloneNode(*args, **kwargs):
pass
def columnNumber(*args, **kwargs):
pass
def firstChild(*args, **kwargs):
pass
def firstChildElement(*args, **kwargs):
pass
def hasAttributes(*args, **kwargs):
pass
def hasChildNodes(*args, **kwargs):
pass
def insertAfter(*args, **kwargs):
pass
def insertBefore(*args, **kwargs):
pass
def isAttr(*args, **kwargs):
pass
def isCDATASection(*args, **kwargs):
pass
def isCharacterData(*args, **kwargs):
pass
def isComment(*args, **kwargs):
pass
def isDocument(*args, **kwargs):
pass
def isDocumentFragment(*args, **kwargs):
pass
def isDocumentType(*args, **kwargs):
pass
def isElement(*args, **kwargs):
pass
def isEntity(*args, **kwargs):
pass
def isEntityReference(*args, **kwargs):
pass
def isNotation(*args, **kwargs):
pass
def isNull(*args, **kwargs):
pass
def isProcessingInstruction(*args, **kwargs):
pass
def isSupported(*args, **kwargs):
pass
def isText(*args, **kwargs):
pass
def lastChild(*args, **kwargs):
pass
def lastChildElement(*args, **kwargs):
pass
def lineNumber(*args, **kwargs):
pass
def localName(*args, **kwargs):
pass
def namedItem(*args, **kwargs):
pass
def namespaceURI(*args, **kwargs):
pass
def nextSibling(*args, **kwargs):
pass
def nextSiblingElement(*args, **kwargs):
pass
def nodeName(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def nodeValue(*args, **kwargs):
pass
def normalize(*args, **kwargs):
pass
def ownerDocument(*args, **kwargs):
pass
def parentNode(*args, **kwargs):
pass
def prefix(*args, **kwargs):
pass
def previousSibling(*args, **kwargs):
pass
def previousSiblingElement(*args, **kwargs):
pass
def removeChild(*args, **kwargs):
pass
def replaceChild(*args, **kwargs):
pass
def save(*args, **kwargs):
pass
def setNodeValue(*args, **kwargs):
pass
def setPrefix(*args, **kwargs):
pass
def toAttr(*args, **kwargs):
pass
def toCDATASection(*args, **kwargs):
pass
def toCharacterData(*args, **kwargs):
pass
def toComment(*args, **kwargs):
pass
def toDocument(*args, **kwargs):
pass
def toDocumentFragment(*args, **kwargs):
pass
def toDocumentType(*args, **kwargs):
pass
def toElement(*args, **kwargs):
pass
def toEntity(*args, **kwargs):
pass
def toEntityReference(*args, **kwargs):
pass
def toNotation(*args, **kwargs):
pass
def toProcessingInstruction(*args, **kwargs):
pass
def toText(*args, **kwargs):
pass
AttributeNode = None
BaseNode = None
CDATASectionNode = None
CharacterDataNode = None
CommentNode = None
DocumentFragmentNode = None
DocumentNode = None
DocumentTypeNode = None
ElementNode = None
EncodingFromDocument = None
EncodingFromTextStream = None
EncodingPolicy = None
EntityNode = None
EntityReferenceNode = None
NodeType = None
NotationNode = None
ProcessingInstructionNode = None
TextNode = None
__new__ = None
class QXmlErrorHandler(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def error(*args, **kwargs):
pass
def errorString(*args, **kwargs):
pass
def fatalError(*args, **kwargs):
pass
def warning(*args, **kwargs):
pass
__new__ = None
class QXmlDTDHandler(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def errorString(*args, **kwargs):
pass
def notationDecl(*args, **kwargs):
pass
def unparsedEntityDecl(*args, **kwargs):
pass
__new__ = None
class QXmlContentHandler(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def characters(*args, **kwargs):
pass
def endDocument(*args, **kwargs):
pass
def endElement(*args, **kwargs):
pass
def endPrefixMapping(*args, **kwargs):
pass
def errorString(*args, **kwargs):
pass
def ignorableWhitespace(*args, **kwargs):
pass
def processingInstruction(*args, **kwargs):
pass
def setDocumentLocator(*args, **kwargs):
pass
def skippedEntity(*args, **kwargs):
pass
def startDocument(*args, **kwargs):
pass
def startElement(*args, **kwargs):
pass
def startPrefixMapping(*args, **kwargs):
pass
__new__ = None
class QXmlEntityResolver(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def errorString(*args, **kwargs):
pass
def resolveEntity(*args, **kwargs):
pass
__new__ = None
class QXmlLexicalHandler(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def comment(*args, **kwargs):
pass
def endCDATA(*args, **kwargs):
pass
def endDTD(*args, **kwargs):
pass
def endEntity(*args, **kwargs):
pass
def errorString(*args, **kwargs):
pass
def startCDATA(*args, **kwargs):
pass
def startDTD(*args, **kwargs):
pass
def startEntity(*args, **kwargs):
pass
__new__ = None
class QXmlNamespaceSupport(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def popContext(*args, **kwargs):
pass
def prefix(*args, **kwargs):
pass
def prefixes(*args, **kwargs):
pass
def processName(*args, **kwargs):
pass
def pushContext(*args, **kwargs):
pass
def reset(*args, **kwargs):
pass
def setPrefix(*args, **kwargs):
pass
def splitName(*args, **kwargs):
pass
def uri(*args, **kwargs):
pass
__new__ = None
class QDomNodeList(_Object):
def __copy__(*args, **kwargs):
pass
def __eq__(*args, **kwargs):
"""
x.__eq__(y) <==> x==y
"""
pass
def __ge__(*args, **kwargs):
"""
x.__ge__(y) <==> x>=y
"""
pass
def __gt__(*args, **kwargs):
"""
x.__gt__(y) <==> x>y
"""
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __le__(*args, **kwargs):
"""
x.__le__(y) <==> x<=y
"""
pass
def __lt__(*args, **kwargs):
"""
x.__lt__(y) <==> x<y
"""
pass
def __ne__(*args, **kwargs):
"""
x.__ne__(y) <==> x!=y
"""
pass
def at(*args, **kwargs):
pass
def count(*args, **kwargs):
pass
def isEmpty(*args, **kwargs):
pass
def item(*args, **kwargs):
pass
def length(*args, **kwargs):
pass
def size(*args, **kwargs):
pass
__new__ = None
class QDomNamedNodeMap(_Object):
def __copy__(*args, **kwargs):
pass
def __eq__(*args, **kwargs):
"""
x.__eq__(y) <==> x==y
"""
pass
def __ge__(*args, **kwargs):
"""
x.__ge__(y) <==> x>=y
"""
pass
def __gt__(*args, **kwargs):
"""
x.__gt__(y) <==> x>y
"""
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __le__(*args, **kwargs):
"""
x.__le__(y) <==> x<=y
"""
pass
def __lt__(*args, **kwargs):
"""
x.__lt__(y) <==> x<y
"""
pass
def __ne__(*args, **kwargs):
"""
x.__ne__(y) <==> x!=y
"""
pass
def contains(*args, **kwargs):
pass
def count(*args, **kwargs):
pass
def isEmpty(*args, **kwargs):
pass
def item(*args, **kwargs):
pass
def length(*args, **kwargs):
pass
def namedItem(*args, **kwargs):
pass
def namedItemNS(*args, **kwargs):
pass
def removeNamedItem(*args, **kwargs):
pass
def removeNamedItemNS(*args, **kwargs):
pass
def setNamedItem(*args, **kwargs):
pass
def setNamedItemNS(*args, **kwargs):
pass
def size(*args, **kwargs):
pass
__new__ = None
class QXmlAttributes(_Object):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def append(*args, **kwargs):
pass
def clear(*args, **kwargs):
pass
def count(*args, **kwargs):
pass
def index(*args, **kwargs):
pass
def length(*args, **kwargs):
pass
def localName(*args, **kwargs):
pass
def qName(*args, **kwargs):
pass
def type(*args, **kwargs):
pass
def uri(*args, **kwargs):
pass
def value(*args, **kwargs):
pass
__new__ = None
class QXmlReader(_Object):
def DTDHandler(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def contentHandler(*args, **kwargs):
pass
def declHandler(*args, **kwargs):
pass
def entityResolver(*args, **kwargs):
pass
def errorHandler(*args, **kwargs):
pass
def feature(*args, **kwargs):
pass
def hasFeature(*args, **kwargs):
pass
def hasProperty(*args, **kwargs):
pass
def lexicalHandler(*args, **kwargs):
pass
def parse(*args, **kwargs):
pass
def property(*args, **kwargs):
pass
def setContentHandler(*args, **kwargs):
pass
def setDTDHandler(*args, **kwargs):
pass
def setDeclHandler(*args, **kwargs):
pass
def setEntityResolver(*args, **kwargs):
pass
def setErrorHandler(*args, **kwargs):
pass
def setFeature(*args, **kwargs):
pass
def setLexicalHandler(*args, **kwargs):
pass
def setProperty(*args, **kwargs):
pass
__new__ = None
class QXmlInputSource(_Object):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def data(*args, **kwargs):
pass
def fetchData(*args, **kwargs):
pass
def fromRawData(*args, **kwargs):
pass
def next(*args, **kwargs):
pass
def reset(*args, **kwargs):
pass
def setData(*args, **kwargs):
pass
__new__ = None
class QDomEntity(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
def notationName(*args, **kwargs):
pass
def publicId(*args, **kwargs):
pass
def systemId(*args, **kwargs):
pass
__new__ = None
class QDomElement(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def attribute(*args, **kwargs):
pass
def attributeNS(*args, **kwargs):
pass
def attributeNode(*args, **kwargs):
pass
def attributeNodeNS(*args, **kwargs):
pass
def attributes(*args, **kwargs):
pass
def elementsByTagName(*args, **kwargs):
pass
def elementsByTagNameNS(*args, **kwargs):
pass
def hasAttribute(*args, **kwargs):
pass
def hasAttributeNS(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def removeAttribute(*args, **kwargs):
pass
def removeAttributeNS(*args, **kwargs):
pass
def removeAttributeNode(*args, **kwargs):
pass
def setAttribute(*args, **kwargs):
pass
def setAttributeNS(*args, **kwargs):
pass
def setAttributeNode(*args, **kwargs):
pass
def setAttributeNodeNS(*args, **kwargs):
pass
def setTagName(*args, **kwargs):
pass
def tagName(*args, **kwargs):
pass
def text(*args, **kwargs):
pass
__new__ = None
class QDomDocumentFragment(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
__new__ = None
class QDomNotation(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
def publicId(*args, **kwargs):
pass
def systemId(*args, **kwargs):
pass
__new__ = None
class QDomAttr(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def name(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def ownerElement(*args, **kwargs):
pass
def setValue(*args, **kwargs):
pass
def specified(*args, **kwargs):
pass
def value(*args, **kwargs):
pass
__new__ = None
class QDomCharacterData(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def appendData(*args, **kwargs):
pass
def data(*args, **kwargs):
pass
def deleteData(*args, **kwargs):
pass
def insertData(*args, **kwargs):
pass
def length(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def replaceData(*args, **kwargs):
pass
def setData(*args, **kwargs):
pass
def substringData(*args, **kwargs):
pass
__new__ = None
class QDomEntityReference(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
__new__ = None
class QXmlSimpleReader(QXmlReader):
def DTDHandler(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def contentHandler(*args, **kwargs):
pass
def declHandler(*args, **kwargs):
pass
def entityResolver(*args, **kwargs):
pass
def errorHandler(*args, **kwargs):
pass
def feature(*args, **kwargs):
pass
def hasFeature(*args, **kwargs):
pass
def hasProperty(*args, **kwargs):
pass
def lexicalHandler(*args, **kwargs):
pass
def parse(*args, **kwargs):
pass
def parseContinue(*args, **kwargs):
pass
def property(*args, **kwargs):
pass
def setContentHandler(*args, **kwargs):
pass
def setDTDHandler(*args, **kwargs):
pass
def setDeclHandler(*args, **kwargs):
pass
def setEntityResolver(*args, **kwargs):
pass
def setErrorHandler(*args, **kwargs):
pass
def setFeature(*args, **kwargs):
pass
def setLexicalHandler(*args, **kwargs):
pass
def setProperty(*args, **kwargs):
pass
__new__ = None
class QDomDocument(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def createAttribute(*args, **kwargs):
pass
def createAttributeNS(*args, **kwargs):
pass
def createCDATASection(*args, **kwargs):
pass
def createComment(*args, **kwargs):
pass
def createDocumentFragment(*args, **kwargs):
pass
def createElement(*args, **kwargs):
pass
def createElementNS(*args, **kwargs):
pass
def createEntityReference(*args, **kwargs):
pass
def createProcessingInstruction(*args, **kwargs):
pass
def createTextNode(*args, **kwargs):
pass
def doctype(*args, **kwargs):
pass
def documentElement(*args, **kwargs):
pass
def elementById(*args, **kwargs):
pass
def elementsByTagName(*args, **kwargs):
pass
def elementsByTagNameNS(*args, **kwargs):
pass
def implementation(*args, **kwargs):
pass
def importNode(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def setContent(*args, **kwargs):
pass
def toByteArray(*args, **kwargs):
pass
def toString(*args, **kwargs):
pass
__new__ = None
class QDomProcessingInstruction(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def data(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def setData(*args, **kwargs):
pass
def target(*args, **kwargs):
pass
__new__ = None
class QDomDocumentType(QDomNode):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def entities(*args, **kwargs):
pass
def internalSubset(*args, **kwargs):
pass
def name(*args, **kwargs):
pass
def nodeType(*args, **kwargs):
pass
def notations(*args, **kwargs):
pass
def publicId(*args, **kwargs):
pass
def systemId(*args, **kwargs):
pass
__new__ = None
class QXmlDefaultHandler(QXmlContentHandler, QXmlErrorHandler, QXmlDTDHandler, QXmlEntityResolver, QXmlLexicalHandler, QXmlDeclHandler):
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def attributeDecl(*args, **kwargs):
pass
def characters(*args, **kwargs):
pass
def comment(*args, **kwargs):
pass
def endCDATA(*args, **kwargs):
pass
def endDTD(*args, **kwargs):
pass
def endDocument(*args, **kwargs):
pass
def endElement(*args, **kwargs):
pass
def endEntity(*args, **kwargs):
pass
def endPrefixMapping(*args, **kwargs):
pass
def error(*args, **kwargs):
pass
def errorString(*args, **kwargs):
pass
def externalEntityDecl(*args, **kwargs):
pass
def fatalError(*args, **kwargs):
pass
def ignorableWhitespace(*args, **kwargs):
pass
def internalEntityDecl(*args, **kwargs):
pass
def notationDecl(*args, **kwargs):
pass
def processingInstruction(*args, **kwargs):
pass
def resolveEntity(*args, **kwargs):
pass
def setDocumentLocator(*args, **kwargs):
pass
def skippedEntity(*args, **kwargs):
pass
def startCDATA(*args, **kwargs):
pass
def startDTD(*args, **kwargs):
pass
def startDocument(*args, **kwargs):
pass
def startElement(*args, **kwargs):
pass
def startEntity(*args, **kwargs):
pass
def startPrefixMapping(*args, **kwargs):
pass
def unparsedEntityDecl(*args, **kwargs):
pass
def warning(*args, **kwargs):
pass
__new__ = None
class QDomComment(QDomCharacterData):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
__new__ = None
class QDomText(QDomCharacterData):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
def splitText(*args, **kwargs):
pass
__new__ = None
class QDomCDATASection(QDomText):
def __copy__(*args, **kwargs):
pass
def __init__(*args, **kwargs):
"""
x.__init__(...) initializes x; see help(type(x)) for signature
"""
pass
def __nonzero__(*args, **kwargs):
"""
x.__nonzero__() <==> x != 0
"""
pass
def nodeType(*args, **kwargs):
pass
__new__ = None
| 15.53501 | 136 | 0.449516 | 2,640 | 31,505 | 5.067045 | 0.104167 | 0.289303 | 0.330717 | 0.362189 | 0.691635 | 0.691635 | 0.67474 | 0.665396 | 0.640353 | 0.536667 | 0 | 0.000772 | 0.42406 | 31,505 | 2,027 | 137 | 15.542674 | 0.736456 | 0.092588 | 0 | 0.788372 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.45 | false | 0.45 | 0.001163 | 0 | 0.551163 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
befee15b4af2810352c1a586660692225e78713b | 134 | py | Python | pdr_python_sdk/demo/spl/__init__.py | yintao-110/pandora-python-sdk.v2 | c08aa61c047acb833760b037f2cc8910e7aafab8 | [
"Apache-2.0"
] | 4 | 2021-01-04T01:46:05.000Z | 2022-02-08T05:05:13.000Z | pdr_python_sdk/demo/spl/__init__.py | yintao-110/pandora-python-sdk.v2 | c08aa61c047acb833760b037f2cc8910e7aafab8 | [
"Apache-2.0"
] | 35 | 2020-12-29T07:35:40.000Z | 2022-02-09T08:54:00.000Z | pdr_python_sdk/demo/spl/__init__.py | yintao-110/pandora-python-sdk.v2 | c08aa61c047acb833760b037f2cc8910e7aafab8 | [
"Apache-2.0"
] | 14 | 2020-12-28T13:20:20.000Z | 2021-07-21T08:53:54.000Z | from .batch_foobar import *
from .chunk_foobar import *
from .streaming_replacehello import *
from .generating_generatehello import *
| 26.8 | 39 | 0.820896 | 16 | 134 | 6.625 | 0.5625 | 0.283019 | 0.301887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119403 | 134 | 4 | 40 | 33.5 | 0.898305 | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
830cff274dc1a9d8e92543282df855a751a5f3ae | 8,584 | py | Python | scripts/addons/MeshDataTransfer/operators.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/MeshDataTransfer/operators.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/MeshDataTransfer/operators.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | import bpy
from .mesh_data_transfer import MeshDataTransfer
class TransferShapeData(bpy.types.Operator):
"""Tooltip"""
bl_idname = "object.transfer_shape_data"
bl_label = "Simple Object Operator"
bl_options = {'REGISTER','UNDO'}
@classmethod
def poll(cls, context):
sample_space = context.object.mesh_data_transfer_object.mesh_object_space
return context.active_object is not None \
and context.active_object.mesh_data_transfer_object.mesh_source is not None\
and sample_space != "TOPOLOGY" and bpy.context.object.mode == "OBJECT"
def execute(self, context):
active = context.active_object
active_prop = context.object.mesh_data_transfer_object
deformed_source = active_prop.transfer_modified_source
# sc_prop = context.scene.mesh_data_transfer_global
as_shape_key = active_prop.transfer_shape_as_key
snap_to_closest = active_prop.snap_to_closest_shape
source = active.mesh_data_transfer_object.mesh_source
mask_vertex_group = active_prop.vertex_group_filter
invert_mask = active_prop.invert_vertex_group_filter
# target_prop = target.mesh_data_transfer_global
world_space = False
uv_space = False
search_method = active_prop.search_method
sample_space = active_prop.mesh_object_space
if sample_space == 'UVS':
uv_space = True
if sample_space == 'LOCAL':
world_space = False
if sample_space == 'WORLD':
world_space = True
transfer_data = MeshDataTransfer(target=active, source =source, world_space=world_space,
deformed_source=deformed_source,invert_vertex_group = invert_mask,
uv_space=uv_space, search_method=search_method, vertex_group=mask_vertex_group,
snap_to_closest=snap_to_closest)
transferred = transfer_data.transfer_vertex_position(as_shape_key=as_shape_key)
transfer_data.free()
if not transferred:
self.report({'INFO'}, 'Unable to perform the operation.')
return{'CANCELLED'}
return {'FINISHED'}
class TransferShapeKeyData(bpy.types.Operator):
"""Tooltip"""
bl_idname = "object.transfer_shape_key_data"
bl_label = "Simple Object Operator"
bl_options = {'REGISTER','UNDO'}
@classmethod
def poll(cls, context):
sample_space = context.object.mesh_data_transfer_object.mesh_object_space
return context.active_object is not None \
and context.active_object.mesh_data_transfer_object.mesh_source is not None\
and sample_space != "TOPOLOGY" and bpy.context.object.mode == "OBJECT"
def execute(self, context):
active = context.active_object
active_prop = context.object.mesh_data_transfer_object
deformed_source = active_prop.transfer_modified_source
# sc_prop = context.scene.mesh_data_transfer_global
as_shape_key = active_prop.transfer_shape_as_key
source = active.mesh_data_transfer_object.mesh_source
mask_vertex_group = active_prop.vertex_group_filter
invert_mask = active_prop.invert_vertex_group_filter
snap_to_closest = active_prop.snap_to_closest_shapekey
# target_prop = target.mesh_data_transfer_global
exclude_muted_shapekeys = active_prop.exclude_muted_shapekeys
transfer_drivers = active_prop.transfer_shapekeys_drivers
world_space = False
uv_space = False
search_method = active_prop.search_method
sample_space = active_prop.mesh_object_space
if sample_space == 'UVS':
uv_space = True
if sample_space == 'LOCAL':
world_space = False
if sample_space == 'WORLD':
world_space = True
transfer_data = MeshDataTransfer(target=active, source =source, world_space=world_space,
uv_space=uv_space,deformed_source= deformed_source ,
invert_vertex_group= invert_mask,
search_method=search_method, vertex_group=mask_vertex_group,
exclude_muted_shapekeys = exclude_muted_shapekeys,
snap_to_closest=snap_to_closest, transfer_drivers= transfer_drivers)
transferred = transfer_data.transfer_shape_keys()
transfer_data.free()
if not transferred:
self.report({'INFO'}, 'Unable to perform the operation.')
return{'CANCELLED'}
return {'FINISHED'}
class TransferVertexGroupsData(bpy.types.Operator):
"""Tooltip"""
bl_idname = "object.transfer_vertex_groups_data"
bl_label = "Simple Object Operator"
bl_options = {'REGISTER','UNDO'}
@classmethod
def poll(cls, context):
sample_space = context.object.mesh_data_transfer_object.mesh_object_space
return context.active_object is not None \
and context.active_object.mesh_data_transfer_object.mesh_source is not None \
and sample_space != "TOPOLOGY" and bpy.context.object.mode == "OBJECT"
def execute(self, context):
active = context.active_object
active_prop = context.object.mesh_data_transfer_object
# sc_prop = context.scene.mesh_data_transfer_global
as_shape_key = active_prop.transfer_shape_as_key
source = active.mesh_data_transfer_object.mesh_source
mask_vertex_group = active_prop.vertex_group_filter
invert_mask = active_prop.invert_vertex_group_filter
exclude_locked_groups = active_prop.exclude_locked_groups
# target_prop = target.mesh_data_transfer_global
world_space = False
uv_space = False
search_method = active_prop.search_method
sample_space = active_prop.mesh_object_space
if sample_space == 'UVS':
uv_space = True
if sample_space == 'LOCAL':
world_space = False
if sample_space == 'WORLD':
world_space = True
transfer_data = MeshDataTransfer(target=active, source =source, world_space=world_space,
invert_vertex_group = invert_mask, uv_space=uv_space, search_method=search_method,
vertex_group=mask_vertex_group, exclude_locked_groups= exclude_locked_groups)
transferred = transfer_data.transfer_vertex_groups()
transfer_data.free()
if not transferred:
self.report({'INFO'}, 'Unable to perform the operation.')
return{'CANCELLED'}
return {'FINISHED'}
class TransferUVData(bpy.types.Operator):
"""Tooltip"""
bl_idname = "object.transfer_uv_data"
bl_label = "Simple Object Operator"
bl_options = {'REGISTER','UNDO'}
@classmethod
def poll(cls, context):
return context.active_object is not None \
and context.active_object.mesh_data_transfer_object.mesh_source is not None \
and bpy.context.object.mode == "OBJECT"
def execute(self, context):
active = context.active_object
active_prop = context.object.mesh_data_transfer_object
# sc_prop = context.scene.mesh_data_transfer_global
as_shape_key = active_prop.transfer_shape_as_key
source = active.mesh_data_transfer_object.mesh_source
# target_prop = target.mesh_data_transfer_global
mask_vertex_group = active_prop.vertex_group_filter
invert_mask = active_prop.invert_vertex_group_filter
world_space = False
topology = False
search_method = active_prop.search_method
sample_space = active_prop.mesh_object_space
if sample_space == 'UVS':
uv_space = True
if sample_space == 'LOCAL':
world_space = False
if sample_space == 'WORLD':
world_space = True
if sample_space == 'TOPOLOGY':
topology = True
#transfer_uvs(active, target, world_space)
transfer_data = MeshDataTransfer(target=active, source =source, world_space=world_space,
invert_vertex_group = invert_mask, search_method=search_method,
topology=topology, vertex_group=mask_vertex_group)
transfer_data.transfer_uvs()
transfer_data.free()
return {'FINISHED'}
| 40.300469 | 123 | 0.662395 | 982 | 8,584 | 5.395112 | 0.088595 | 0.058513 | 0.07248 | 0.062288 | 0.880332 | 0.859003 | 0.849188 | 0.834843 | 0.804266 | 0.780861 | 0 | 0 | 0.268639 | 8,584 | 212 | 124 | 40.490566 | 0.843899 | 0.053705 | 0 | 0.774194 | 0 | 0 | 0.064739 | 0.013961 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051613 | false | 0 | 0.012903 | 0.006452 | 0.219355 | 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 |
55d2653adb586c04e4afd39d7c81d68072c1c000 | 1,108 | py | Python | hwt/hdl/types/bitVal_opReduce.py | mgielda/hwt | e6c699fb154f93ac03523bfe40a3d4fc1912d28b | [
"MIT"
] | null | null | null | hwt/hdl/types/bitVal_opReduce.py | mgielda/hwt | e6c699fb154f93ac03523bfe40a3d4fc1912d28b | [
"MIT"
] | null | null | null | hwt/hdl/types/bitVal_opReduce.py | mgielda/hwt | e6c699fb154f93ac03523bfe40a3d4fc1912d28b | [
"MIT"
] | null | null | null | from hwt.doc_markers import internal
@internal
def tryReduceAnd(sig, val):
"""
Return sig and val reduced by & operator or None
if it is not possible to statically reduce expression
"""
m = sig._dtype.all_mask()
if val._isFullVld():
v = val.val
if v == m:
return sig
elif v == 0:
return val
@internal
def tryReduceOr(sig, val):
"""
Return sig and val reduced by | operator or None
if it is not possible to statically reduce expression
"""
m = sig._dtype.all_mask()
if not val.vldMask:
return val
if val._isFullVld():
v = val.val
if v == m:
return val
elif v == 0:
return sig
@internal
def tryReduceXor(sig, val):
"""
Return sig and val reduced by ^ operator or None
if it is not possible to statically reduce expression
"""
m = sig._dtype.all_mask()
if not val.vldMask:
return val
if val._isFullVld():
v = val.val
if v == m:
return ~sig
elif v == 0:
return sig
| 21.307692 | 57 | 0.558664 | 150 | 1,108 | 4.06 | 0.246667 | 0.103448 | 0.059113 | 0.073892 | 0.827586 | 0.79803 | 0.79803 | 0.79803 | 0.79803 | 0.79803 | 0 | 0.004213 | 0.357401 | 1,108 | 51 | 58 | 21.72549 | 0.851124 | 0.277978 | 0 | 0.84375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.03125 | 0 | 0.375 | 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 |
3615ab16be9525e630a31a7fd8e9b085460474a3 | 6,240 | py | Python | tests/fee_distribution_test.py | vfurci200/module9_loan | 6239cc9e03bcfb1371b14d7967e490f3ee11b26a | [
"MIT"
] | null | null | null | tests/fee_distribution_test.py | vfurci200/module9_loan | 6239cc9e03bcfb1371b14d7967e490f3ee11b26a | [
"MIT"
] | null | null | null | tests/fee_distribution_test.py | vfurci200/module9_loan | 6239cc9e03bcfb1371b14d7967e490f3ee11b26a | [
"MIT"
] | null | null | null | from brownie import accounts, Bank, chain
import pytest
def test_fees_distributed__upon_repayment_standard(bank, chain):
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.deposit( "20 ether", {'from': accounts[3],'amount': "20 ether"})
bank.borrow( "10 ether", {'from': accounts[1]})
balance0 = accounts[0].balance();
balance3 = accounts[3].balance();
# sleep for 1 second
chain.sleep(10)
#Sleeping does not mine a new block. Contract view functions that rely on block.timestamp will be unaffected until you perform a transaction or call chain.mine.
chain.mine(1)
fee = bank.get_fee_accumulated_on_loan(0, {'from': accounts[1]})
assert fee > 0
bank.repay_full_loan(0, {'from': accounts[1], 'amount': "15 ether" })
earned = bank.get_accumulated_earnings({'from': accounts[0]})
assert earned>0
bank.withdraw_fees({'from': accounts[0]})
bank.withdraw_fees({'from': accounts[3]})
a = (balance0 + (fee*0.6))
b = (balance3 + (fee*0.4))
assert accounts[0].balance() == a
assert accounts[3].balance() == b
@pytest.mark.xfail
def test_fees_distributed_upon_repayment_v2(bank, chain):
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.borrow( "10 ether", {'from': accounts[1]})
bank.deposit( "20 ether", {'from': accounts[3],'amount': "20 ether"})
# bank.borrow( "20 ether", {'from': accounts[2]})
balance0 = accounts[0].balance();
balance3 = accounts[3].balance();
# sleep for 1 second
chain.sleep(10)
#Sleeping does not mine a new block. Contract view functions that rely on block.timestamp will be unaffected until you perform a transaction or call chain.mine.
chain.mine(1)
fee = bank.get_fee_accumulated_on_loan(0, {'from': accounts[1]})
assert fee > 0
bank.repay_full_loan(0, {'from': accounts[1], 'amount': "15 ether" })
earned = bank.get_accumulated_earnings({'from': accounts[0]})
assert earned>0
# should fail here
bank.deposit( "20 ether", {'from': accounts[3],'amount': "20 ether"})
bank.withdraw_fees({'from': accounts[0]})
bank.withdraw_fees({'from': accounts[3]})
a = (balance0 + (fee*0.6))
b = (balance3 + (fee*0.4))
assert accounts[0].balance() == a
assert accounts[3].balance() == b
def test_fees_distributed__second_deposit_after_borrow(bank, chain):
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.borrow( "10 ether", {'from': accounts[1]})
bank.deposit( "20 ether", {'from': accounts[3],'amount': "20 ether"})
# bank.borrow( "20 ether", {'from': accounts[2]})
balance0 = accounts[0].balance();
balance3 = accounts[3].balance();
# sleep for 1 second
chain.sleep(10)
#Sleeping does not mine a new block. Contract view functions that rely on block.timestamp will be unaffected until you perform a transaction or call chain.mine.
chain.mine(1)
fee = bank.get_fee_accumulated_on_loan(0, {'from': accounts[1]})
assert fee > 0
bank.repay_full_loan(0, {'from': accounts[1], 'amount': "15 ether" })
earned = bank.get_accumulated_earnings({'from': accounts[0]})
assert earned>0
bank.withdraw_fees({'from': accounts[0]})
# bank.withdraw_fees({'from': accounts[3]})
a = (balance0 + (fee*0.6))
b = (balance3 + (fee*0.4))
assert accounts[0].balance() == a
assert accounts[3].balance() == balance3
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.borrow( "20 ether", {'from': accounts[1]})
chain.sleep(10)
chain.mine(1)
fee2 = bank.get_fee_accumulated_on_loan(1, {'from': accounts[1]})
bank.repay_full_loan(1, {'from': accounts[1], 'amount': "25 ether" })
bank.withdraw_fees({'from': accounts[0]})
bank.withdraw_fees({'from': accounts[3]})
a2 = (balance0 + (fee*0.6)) - 30000000000000000000 + (fee2*0.75)
b2 = (balance3 + (fee*0.4))+ (fee2*0.25)
assert accounts[3].balance() == b2
assert accounts[0].balance() == a2
def test_fees_distributed__fees_not_withdrawn_until_second_loan_repaid(bank, chain):
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.borrow( "10 ether", {'from': accounts[1]})
bank.deposit( "20 ether", {'from': accounts[3],'amount': "20 ether"})
# bank.borrow( "20 ether", {'from': accounts[2]})
balance0 = accounts[0].balance();
balance3 = accounts[3].balance();
# sleep for 1 second
chain.sleep(10)
#Sleeping does not mine a new block. Contract view functions that rely on block.timestamp will be unaffected until you perform a transaction or call chain.mine.
chain.mine(1)
fee = bank.get_fee_accumulated_on_loan(0, {'from': accounts[1]})
assert fee > 0
bank.repay_full_loan(0, {'from': accounts[1], 'amount': "15 ether" })
earned = bank.get_accumulated_earnings({'from': accounts[0]})
assert earned>0
bank.withdraw_fees({'from': accounts[0]})
# bank.withdraw_fees({'from': accounts[3]})
a = (balance0 + (fee*0.6))
b = (balance3 + (fee*0.4))
assert accounts[0].balance() == a
assert accounts[3].balance() == balance3
bank.deposit( "30 ether", {'from': accounts[0],'amount': "30 ether"})
bank.borrow( "20 ether", {'from': accounts[1]})
chain.sleep(10)
chain.mine(1)
fee2 = bank.get_fee_accumulated_on_loan(1, {'from': accounts[1]})
bank.repay_full_loan(1, {'from': accounts[1], 'amount': "25 ether" })
bank.withdraw_fees({'from': accounts[0]})
bank.withdraw("60 ether",{'from': accounts[0]})
bank.withdraw_fees({'from': accounts[3]})
a2 = (balance0 + (fee*0.6)) + 30000000000000000000 + (fee2*0.75)
b2 = (balance3 + (fee*0.4))+ (fee2*0.25)
assert accounts[3].balance() == b2
assert accounts[0].balance() == a2
| 49.92 | 168 | 0.602244 | 821 | 6,240 | 4.47503 | 0.102314 | 0.160044 | 0.097169 | 0.065324 | 0.94638 | 0.94638 | 0.927327 | 0.927327 | 0.921884 | 0.921884 | 0 | 0.062657 | 0.232692 | 6,240 | 124 | 169 | 50.322581 | 0.704678 | 0.153205 | 0 | 0.902913 | 0 | 0 | 0.105902 | 0 | 0 | 0 | 0 | 0 | 0.194175 | 1 | 0.038835 | false | 0 | 0.019417 | 0 | 0.058252 | 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 |
3645c9e4736f9a39b0465d257f6b8cd785aefa2c | 127 | py | Python | Generate Colours/Generate RGB Colour/function.py | wolney-fo/python-functios | ee82e0330b6d9f0132794cc52efea49af53785ca | [
"MIT"
] | null | null | null | Generate Colours/Generate RGB Colour/function.py | wolney-fo/python-functios | ee82e0330b6d9f0132794cc52efea49af53785ca | [
"MIT"
] | null | null | null | Generate Colours/Generate RGB Colour/function.py | wolney-fo/python-functios | ee82e0330b6d9f0132794cc52efea49af53785ca | [
"MIT"
] | null | null | null | from random import randint
def get_rgb():
return '{}, {}, {}'.format(randint(0, 255), randint(0, 255), randint(0, 255))
| 21.166667 | 82 | 0.614173 | 18 | 127 | 4.277778 | 0.611111 | 0.311688 | 0.428571 | 0.467532 | 0.428571 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 0.173228 | 127 | 5 | 83 | 25.4 | 0.619048 | 0 | 0 | 0 | 0 | 0 | 0.07874 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 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 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 10 |
3658c2857e898183308d80ba65fa7c0fca91c116 | 115 | py | Python | robosuite-extra/robosuite_extra/push_env/__init__.py | eugval/sim2real_dynamics_simulation | 2ed175803faa38792f6becc2dc91f44ae71ed9c2 | [
"MIT"
] | 16 | 2020-07-28T14:35:44.000Z | 2021-11-28T01:50:51.000Z | robosuite-extra/robosuite_extra/push_env/__init__.py | eugval/sim2real_dynamics_simulation | 2ed175803faa38792f6becc2dc91f44ae71ed9c2 | [
"MIT"
] | 1 | 2020-11-26T07:58:30.000Z | 2020-12-01T04:40:28.000Z | robosuite-extra/robosuite_extra/push_env/__init__.py | eugval/sim2real_dynamics_simulation | 2ed175803faa38792f6becc2dc91f44ae71ed9c2 | [
"MIT"
] | 2 | 2020-10-18T01:38:49.000Z | 2021-12-31T10:56:41.000Z | from robosuite_extra.push_env.push_task import PushTask
from robosuite_extra.push_env.sawyer_push import SawyerPush | 57.5 | 59 | 0.904348 | 18 | 115 | 5.444444 | 0.555556 | 0.265306 | 0.367347 | 0.44898 | 0.510204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06087 | 115 | 2 | 59 | 57.5 | 0.907407 | 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 |
3673dcbf9ec8793d74f4f7f98b8e87e7ef1eb3ad | 21,739 | py | Python | tests/dhcpv6/kea_only/HA/test_ha_sync.py | shawnmullaney/forge | aaaef0a0645f73d24666aab6a400f3604e753aac | [
"0BSD"
] | null | null | null | tests/dhcpv6/kea_only/HA/test_ha_sync.py | shawnmullaney/forge | aaaef0a0645f73d24666aab6a400f3604e753aac | [
"0BSD"
] | null | null | null | tests/dhcpv6/kea_only/HA/test_ha_sync.py | shawnmullaney/forge | aaaef0a0645f73d24666aab6a400f3604e753aac | [
"0BSD"
] | null | null | null | """Kea HA syncing"""
# pylint: disable=invalid-name,line-too-long
import random
import pytest
from forge_cfg import world
import srv_msg
import misc
import srv_control
@pytest.mark.v6
@pytest.mark.hook
@pytest.mark.HA
@pytest.mark.HA_state
@pytest.mark.disabled
def test_v6_hooks_HA_page_size_sync_mulitple_NA():
# HA SERVER 1
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.config_srv_prefix('2001:db8:2::', '0', '48', '91')
srv_control.config_srv_id('LLT', '00:01:00:02:52:7b:a8:f0:08:00:27:58:f1:e8')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server1"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '2')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role":"primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role":"standby","auto-failover":true}')
srv_control.build_and_send_config_files('SSH', 'config-file')
srv_control.start_srv('DHCP', 'started')
# HA SERVER 2
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.config_srv_prefix('2001:db8:2::', '0', '48', '91')
srv_control.config_srv_id('LLT', '00:01:00:02:52:7b:a8:f0:08:00:27:58:99:99')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS_2)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL2')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server2"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '2')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role": "primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role": "standby","auto-failover":true}')
srv_control.build_and_send_config_files_dest_addr('SSH', 'config-file', '$(MGMT_ADDRESS_2)')
srv_control.remote_start_srv('DHCP', 'started', '$(MGMT_ADDRESS_2)')
misc.test_procedure()
srv_msg.forge_sleep('2', 'seconds')
tmp = world.f_cfg.show_packets_from
world.f_cfg.show_packets_from = ""
duid = "00:03:00:01:ff:ff:ff:ff:ff:0"
test_range = 5
for each in range(9):
ia_1 = random.randint(1, 9009)
misc.test_procedure()
srv_msg.client_sets_value('Client', 'DUID', duid + str(each))
srv_msg.client_does_include('Client', None, 'client-id')
for each_ia in range(test_range):
srv_msg.client_sets_value('Client', 'ia_id', ia_1 + each_ia)
srv_msg.client_does_include('Client', None, 'IA-NA')
for each_pd in range(test_range):
srv_msg.client_sets_value('Client', 'ia_pd', ia_1 + each_pd)
srv_msg.client_does_include('Client', None, 'IA-PD')
srv_msg.client_send_msg('SOLICIT')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', None, 'ADVERTISE')
misc.test_procedure()
srv_msg.client_sets_value('Client', 'DUID', duid + str(each))
srv_msg.client_does_include('Client', None, 'client-id')
for each_ia in range(test_range):
srv_msg.client_sets_value('Client', 'ia_id', ia_1 + each_ia)
srv_msg.client_does_include('Client', None, 'IA-NA')
for each_pd in range(test_range):
srv_msg.client_sets_value('Client', 'ia_pd', ia_1 + each_pd)
srv_msg.client_does_include('Client', None, 'IA-PD')
srv_msg.client_copy_option('server-id')
srv_msg.client_send_msg('REQUEST')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', None, 'REPLY')
srv_msg.response_check_include_option('Response', None, '2')
srv_msg.response_check_option_content('Response',
'2',
None,
'duid',
'00:01:00:02:52:7b:a8:f0:08:00:27:58:f1:e8')
srv_msg.forge_sleep('2', 'seconds')
world.f_cfg.show_packets_from = tmp
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'DHCPSRV_MEMFILE_GET_ADDR6 obtaining IPv6 lease '
'for address 2001:db8:2::aa0:0:0 and lease type IA_PD')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'DHCPSRV_MEMFILE_UPDATE_ADDR6 updating IPv6 lease for address 2001:db8:2::aa0:0:0')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log-CTRL2',
None,
'Bulk apply of 10 IPv6 leases completed.')
srv_control.start_srv('DHCP', 'stopped')
srv_msg.forge_sleep('2', 'seconds')
tmp = world.f_cfg.show_packets_from
world.f_cfg.show_packets_from = ""
duid = "00:03:00:01:ff:ff:ff:ff:00:0"
for each in range(9):
ia_1 = random.randint(1, 9009)
misc.test_procedure()
srv_msg.client_sets_value('Client', 'DUID', duid + str(each))
srv_msg.client_does_include('Client', None, 'client-id')
for each_ia in range(test_range):
srv_msg.client_sets_value('Client', 'ia_id', ia_1 + each_ia)
srv_msg.client_does_include('Client', None, 'IA-NA')
for each_pd in range(test_range):
srv_msg.client_sets_value('Client', 'ia_pd', ia_1 + each_pd)
srv_msg.client_does_include('Client', None, 'IA-PD')
srv_msg.client_send_msg('SOLICIT')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', None, 'ADVERTISE')
misc.test_procedure()
srv_msg.client_sets_value('Client', 'DUID', duid + str(each))
srv_msg.client_does_include('Client', None, 'client-id')
for each_ia in range(test_range):
srv_msg.client_sets_value('Client', 'ia_id', ia_1 + each_ia)
srv_msg.client_does_include('Client', None, 'IA-NA')
for each_pd in range(test_range):
srv_msg.client_sets_value('Client', 'ia_pd', ia_1 + each_pd)
srv_msg.client_does_include('Client', None, 'IA-PD')
srv_msg.client_copy_option('server-id')
srv_msg.client_send_msg('REQUEST')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', None, 'REPLY')
srv_msg.response_check_include_option('Response', None, '2')
srv_msg.response_check_option_content('Response',
'2',
None,
'duid',
'00:01:00:02:52:7b:a8:f0:08:00:27:58:99:99')
srv_control.start_srv('DHCP', 'started')
srv_msg.forge_sleep('4', 'seconds')
# now we should have 180 leases in HEA server 1
@pytest.mark.v6
@pytest.mark.hook
@pytest.mark.HA
@pytest.mark.HA_state
@pytest.mark.disabled
def test_v6_hooks_HA_page_size_sync():
# HA SERVER 1
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel()
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server1"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '10')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role":"primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role":"standby","auto-failover":true}')
srv_control.build_and_send_config_files('SSH', 'config-file')
srv_control.start_srv('DHCP', 'started')
# HA SERVER 2
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS_2)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL2')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server2"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '10')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role": "primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role": "standby","auto-failover":true}')
srv_control.build_and_send_config_files_dest_addr('SSH', 'config-file', '$(MGMT_ADDRESS_2)')
misc.test_procedure()
srv_msg.forge_sleep('3', 'seconds')
srv_msg.loops('SOLICIT', 'REPLY', '100')
srv_control.remote_start_srv('DHCP', 'started', '$(MGMT_ADDRESS_2)')
srv_msg.forge_sleep('10', 'seconds')
misc.pass_criteria()
srv_msg.log_contains('DHCPSRV_MEMFILE_GET_PAGE6 obtaining at most 10 IPv6 leases starting from address 2001:db8:1::5b')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'HA_LEASES_SYNC_LEASE_PAGE_RECEIVED received 10 leases from server1')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'DHCPSRV_MEMFILE_GET_ADDR6 obtaining IPv6 lease for address 2001:db8:1::65 and lease type IA_NA')
@pytest.mark.v6
@pytest.mark.hook
@pytest.mark.HA
@pytest.mark.HA_state
@pytest.mark.disabled
def test_v6_hooks_HA_page_size_sync_2():
# HA SERVER 1
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server1"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '10')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role":"primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role":"standby","auto-failover":true}')
srv_control.build_and_send_config_files('SSH', 'config-file')
srv_control.start_srv('DHCP', 'started')
# HA SERVER 2
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS_2)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL2')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server2"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('sync-page-limit', '15')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role": "primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role": "standby","auto-failover":true}')
srv_control.build_and_send_config_files_dest_addr('SSH', 'config-file', '$(MGMT_ADDRESS_2)')
misc.test_procedure()
srv_msg.forge_sleep('3', 'seconds')
# create leases in HA 1
srv_msg.loops('SOLICIT', 'REPLY', '100')
srv_control.remote_start_srv('DHCP', 'started', '$(MGMT_ADDRESS_2)')
# sync HA 2 with HA 1
srv_msg.forge_sleep('10', 'seconds')
misc.pass_criteria()
srv_msg.log_contains('DHCPSRV_MEMFILE_GET_PAGE6 obtaining at most 15 IPv6 leases starting from address 2001:db8:1::5')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'HA_LEASES_SYNC_LEASE_PAGE_RECEIVED received 15 leases from server1')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'DHCPSRV_MEMFILE_GET_ADDR6 obtaining IPv6 lease for address 2001:db8:1::65 and lease type IA_NA')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
'NOT ',
'DHCPSRV_MEMFILE_GET_PAGE6 obtaining at most 10 IPv6 leases starting from address 2001:')
srv_msg.log_doesnt_contain('HA_LEASES_SYNC_LEASE_PAGE_RECEIVED received 10 leases from')
srv_msg.remote_log_includes_line('$(MGMT_ADDRESS_2)',
'$(SOFTWARE_INSTALL_DIR)/var/log/kea.log',
None,
'HA_SYNC_SUCCESSFUL lease database synchronization with server1 completed successfully')
# stop HA !
srv_control.start_srv('DHCP', 'stopped')
misc.test_procedure()
srv_msg.forge_sleep('3', 'seconds')
# create leases in HA 2
srv_msg.loops('SOLICIT', 'REPLY', '100')
srv_control.clear_leases('logs')
srv_control.start_srv('DHCP', 'started')
srv_msg.forge_sleep('10', 'seconds')
misc.pass_criteria()
srv_msg.log_contains('DHCPSRV_MEMFILE_ADD_ADDR6 adding IPv6 lease with address 2001:db8:1::c9')
@pytest.mark.v6
@pytest.mark.hook
@pytest.mark.HA
@pytest.mark.HA_state
@pytest.mark.disabled
def test_v6_hooks_HA_page_size_sync_large():
# This is to big to be run in forge setup, run manually, if by mistake someone will start it - uncomment lines at the bottom
# HA SERVER 1
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS)')
srv_control.configure_loggers('kea-dhcp6.dhcpsrv', 'DEBUG', '99')
srv_control.configure_loggers('kea-dhcp6.ha-hooks', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server1"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role":"primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role":"standby","auto-failover":true}')
srv_control.build_and_send_config_files('SSH', 'config-file')
srv_control.start_srv('DHCP', 'started')
# HA SERVER 2
misc.test_setup()
srv_control.config_srv_subnet('2001:db8:1::/64', '2001:db8:1::1-2001:db8:1::ffff')
srv_control.open_control_channel()
srv_control.agent_control_channel('$(MGMT_ADDRESS_2)')
srv_control.configure_loggers('kea-dhcp6', 'DEBUG', '99')
srv_control.configure_loggers('kea-ctrl-agent', 'DEBUG', '99', 'kea.log-CTRL2')
srv_control.add_hooks('libdhcp_lease_cmds.so')
srv_control.add_ha_hook('libdhcp_ha.so')
srv_control.add_parameter_to_ha_hook('this-server-name', '"server2"')
srv_control.add_parameter_to_ha_hook('mode', '"hot-standby"')
srv_control.add_parameter_to_ha_hook('heartbeat-delay', '1000')
srv_control.add_parameter_to_ha_hook('max-response-delay', '1001')
srv_control.add_parameter_to_ha_hook('max-unacked-clients', '0')
srv_control.add_parameter_to_ha_hook('max-ack-delay', '0')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server1","url":"http://$(MGMT_ADDRESS):8000/","role": "primary","auto-failover":true}')
srv_control.add_parameter_to_ha_hook('peers',
'{"name":"server2","url":"http://$(MGMT_ADDRESS_2):8000/","role": "standby","auto-failover":true}')
srv_control.build_and_send_config_files_dest_addr('SSH', 'config-file', '$(MGMT_ADDRESS_2)')
srv_control.remote_start_srv('DHCP', 'started', '$(MGMT_ADDRESS_2)')
srv_msg.forge_sleep('3', 'seconds')
# UNCOMMENT:
# Exchange messages SOLICIT - REPLY 200000 times.
srv_control.start_srv('DHCP', 'started')
# UNCOMMENT:
# Sleep for 3000 seconds.
| 46.750538 | 140 | 0.645384 | 3,006 | 21,739 | 4.313706 | 0.078177 | 0.12339 | 0.086219 | 0.118763 | 0.950104 | 0.950104 | 0.939307 | 0.939307 | 0.933369 | 0.933369 | 0 | 0.043843 | 0.205759 | 21,739 | 464 | 141 | 46.851293 | 0.70717 | 0.022586 | 0 | 0.893983 | 0 | 0.057307 | 0.317659 | 0.072465 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011461 | false | 0.020057 | 0.017192 | 0 | 0.028653 | 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 |
36af4bac21dcb433be5aaff189718fe84a6e068c | 10,326 | py | Python | cities_light/migrations/0001_initial.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | cities_light/migrations/0001_initial.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | cities_light/migrations/0001_initial.py | b-dev/django-cities-light | b42d3363dfabd662c9d0878b15b0dde748fec38e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2019-09-10 07:15
import autoslug.fields
import cities_light.abstract_models
import cities_light.validators
from django.db import migrations, models
import django.db.models.deletion
import hvad.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='City',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name_ascii', models.CharField(blank=True, db_index=True, max_length=200)),
('slug', autoslug.fields.AutoSlugField(editable=False, populate_from='name_ascii')),
('geoname_id', models.IntegerField(blank=True, null=True, unique=True)),
('alternate_names', models.TextField(blank=True, default='', null=True)),
('state', models.SmallIntegerField(choices=[(-1, 'Deleted'), (0, 'Draft'), (1, 'Published'), (2, 'For Review'), (3, 'Expired'), (4, 'Cancelled')], default=1, verbose_name='Publish state')),
('default_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Default language')),
('search_names', cities_light.abstract_models.ToSearchTextField(blank=True, default='', max_length=4000)),
('latitude', models.DecimalField(blank=True, decimal_places=5, max_digits=8, null=True)),
('longitude', models.DecimalField(blank=True, decimal_places=5, max_digits=8, null=True)),
('population', models.BigIntegerField(blank=True, db_index=True, null=True)),
('feature_code', models.CharField(blank=True, db_index=True, max_length=10, null=True)),
('timezone', models.CharField(blank=True, db_index=True, max_length=40, null=True, validators=[cities_light.validators.timezone_validator])),
('allow_translate', models.BooleanField(default=True, verbose_name='Allow Translate')),
],
options={
'verbose_name_plural': 'cities',
'abstract': False,
},
),
migrations.CreateModel(
name='Country',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name_ascii', models.CharField(blank=True, db_index=True, max_length=200)),
('slug', autoslug.fields.AutoSlugField(editable=False, populate_from='name_ascii')),
('geoname_id', models.IntegerField(blank=True, null=True, unique=True)),
('alternate_names', models.TextField(blank=True, default='', null=True)),
('state', models.SmallIntegerField(choices=[(-1, 'Deleted'), (0, 'Draft'), (1, 'Published'), (2, 'For Review'), (3, 'Expired'), (4, 'Cancelled')], default=1, verbose_name='Publish state')),
('default_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Default language')),
('code2', models.CharField(blank=True, max_length=2, null=True, unique=True)),
('code3', models.CharField(blank=True, max_length=3, null=True, unique=True)),
('continent', models.CharField(choices=[('OC', 'Oceania'), ('EU', 'Europe'), ('AF', 'Africa'), ('NA', 'North America'), ('AN', 'Antarctica'), ('SA', 'South America'), ('AS', 'Asia')], db_index=True, max_length=2)),
('tld', models.CharField(blank=True, db_index=True, max_length=5)),
('phone', models.CharField(blank=True, max_length=20, null=True)),
('allow_translate', models.BooleanField(default=True, verbose_name='Allow Translate')),
],
options={
'verbose_name_plural': 'countries',
'abstract': False,
},
),
migrations.CreateModel(
name='Region',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name_ascii', models.CharField(blank=True, db_index=True, max_length=200)),
('slug', autoslug.fields.AutoSlugField(editable=False, populate_from='name_ascii')),
('geoname_id', models.IntegerField(blank=True, null=True, unique=True)),
('alternate_names', models.TextField(blank=True, default='', null=True)),
('state', models.SmallIntegerField(choices=[(-1, 'Deleted'), (0, 'Draft'), (1, 'Published'), (2, 'For Review'), (3, 'Expired'), (4, 'Cancelled')], default=1, verbose_name='Publish state')),
('default_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Default language')),
('geoname_code', models.CharField(blank=True, db_index=True, max_length=50, null=True)),
('allow_translate', models.BooleanField(default=True, verbose_name='Allow Translate')),
],
options={
'verbose_name': 'region/state',
'verbose_name_plural': 'regions/states',
'abstract': False,
},
),
migrations.CreateModel(
name='RegionTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200)),
('display_name', models.CharField(max_length=200)),
('source_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Source language')),
('is_auto_translated', models.BooleanField(default=False, verbose_name='Auto Translated')),
('language_code', models.CharField(db_index=True, max_length=15)),
('master', hvad.fields.MasterKey(editable=False, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='cities_light.Region')),
],
options={
'db_table': 'cities_light_region_translation',
'db_tablespace': '',
'abstract': False,
'managed': True,
'default_permissions': (),
'unique_together': {('language_code', 'master')},
},
),
migrations.AddField(
model_name='region',
name='_hvad_query',
field=hvad.fields.SingleTranslationObject('cities_light.Region', 'cities_light.RegionTranslation'),
),
migrations.AddField(
model_name='region',
name='country',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='cities_light.Country'),
),
migrations.CreateModel(
name='CountryTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200)),
('source_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Source language')),
('is_auto_translated', models.BooleanField(default=False, verbose_name='Auto Translated')),
('language_code', models.CharField(db_index=True, max_length=15)),
('master', hvad.fields.MasterKey(editable=False, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='cities_light.Country')),
],
options={
'db_table': 'cities_light_country_translation',
'db_tablespace': '',
'abstract': False,
'managed': True,
'default_permissions': (),
'unique_together': {('language_code', 'master')},
},
),
migrations.AddField(
model_name='country',
name='_hvad_query',
field=hvad.fields.SingleTranslationObject('cities_light.Country', 'cities_light.CountryTranslation'),
),
migrations.CreateModel(
name='CityTranslation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=200)),
('display_name', models.CharField(max_length=200)),
('source_language', models.CharField(choices=[('en', 'English')], default='en', max_length=2, verbose_name='Source language')),
('is_auto_translated', models.BooleanField(default=False, verbose_name='Auto Translated')),
('language_code', models.CharField(db_index=True, max_length=15)),
('master', hvad.fields.MasterKey(editable=False, on_delete=django.db.models.deletion.CASCADE, related_name='translations', to='cities_light.City')),
],
options={
'db_table': 'cities_light_city_translation',
'db_tablespace': '',
'abstract': False,
'managed': True,
'default_permissions': (),
'unique_together': {('language_code', 'master')},
},
),
migrations.AddField(
model_name='city',
name='_hvad_query',
field=hvad.fields.SingleTranslationObject('cities_light.City', 'cities_light.CityTranslation'),
),
migrations.AddField(
model_name='city',
name='country',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='cities_light.Country'),
),
migrations.AddField(
model_name='city',
name='region',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='cities_light.Region'),
),
migrations.AlterUniqueTogether(
name='region',
unique_together={('country', 'slug')},
),
migrations.AlterUniqueTogether(
name='city',
unique_together={('region', 'slug')},
),
]
| 57.049724 | 230 | 0.589289 | 1,026 | 10,326 | 5.748538 | 0.151072 | 0.039674 | 0.033062 | 0.028484 | 0.80468 | 0.765853 | 0.732282 | 0.730417 | 0.730417 | 0.683961 | 0 | 0.012241 | 0.256343 | 10,326 | 180 | 231 | 57.366667 | 0.755828 | 0.004358 | 0 | 0.682081 | 1 | 0 | 0.198657 | 0.017609 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.034682 | 0 | 0.057803 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
36f346823874f0f3500f93028fa05ceeccfb17f1 | 2,602 | py | Python | 02_DSA/homework/soonbee/stack/test_stack.py | dudaji/dcc | 3069f1ea51fca71b58742aa642cd4f76ea4de944 | [
"MIT"
] | null | null | null | 02_DSA/homework/soonbee/stack/test_stack.py | dudaji/dcc | 3069f1ea51fca71b58742aa642cd4f76ea4de944 | [
"MIT"
] | 1 | 2019-03-05T08:35:05.000Z | 2019-03-05T08:37:58.000Z | 02_DSA/homework/soonbee/stack/test_stack.py | dudaji/dcc | 3069f1ea51fca71b58742aa642cd4f76ea4de944 | [
"MIT"
] | null | null | null | import unittest
from stack import SimpleStack, ArrayStack, LinkedListStack
class TestSimpleStack(unittest.TestCase):
def setUp(self):
self.st = SimpleStack()
def tearDown(self):
del self.st
# default feature test - push, pop, peek
def test_01(self):
self.st.push(1)
self.st.push(2)
self.st.push(3)
self.assertEqual(self.st.peek(), 3)
self.assertEqual(self.st.pop(), 3)
self.assertEqual(self.st.peek(), 2)
self.assertEqual(self.st.pop(), 2)
self.assertEqual(self.st.peek(), 1)
self.assertEqual(self.st.pop(), 1)
# raise error when pop with empty stack
def test_02(self):
with self.assertRaises(IndexError) as cm:
self.st.pop()
self.assertEqual("stack is empty", str(cm.exception))
# test check empty
def test_03(self):
self.assertTrue(self.st.is_empty())
class TestArrayStack(unittest.TestCase):
def setUp(self):
self.st = ArrayStack()
def tearDown(self):
del self.st
# default feature test - push, pop, peek
def test_01(self):
self.st.push(1)
self.st.push(2)
self.st.push(3)
self.assertEqual(self.st.peek(), 3)
self.assertEqual(self.st.pop(), 3)
self.assertEqual(self.st.peek(), 2)
self.assertEqual(self.st.pop(), 2)
self.assertEqual(self.st.peek(), 1)
self.assertEqual(self.st.pop(), 1)
# raise error when pop with empty stack
def test_02(self):
with self.assertRaises(IndexError) as cm:
self.st.pop()
self.assertEqual("stack is empty", str(cm.exception))
# test check empty
def test_03(self):
self.assertTrue(self.st.is_empty())
# test expand
def test_04(self):
self.assertEqual(len(self.st._array), 10)
for i in range(11):
self.st.push(i)
self.assertEqual(len(self.st._array), 20)
class TestLinkedListStack(unittest.TestCase):
def setUp(self):
self.st = LinkedListStack()
def tearDown(self):
del self.st
# default feature test - push, pop, peek
def test_01(self):
self.st.push(1)
self.st.push(2)
self.st.push(3)
self.assertEqual(self.st.peek(), 3)
self.assertEqual(self.st.pop(), 3)
self.assertEqual(self.st.peek(), 2)
self.assertEqual(self.st.pop(), 2)
self.assertEqual(self.st.peek(), 1)
self.assertEqual(self.st.pop(), 1)
# raise error when pop with empty stack
def test_02(self):
with self.assertRaises(IndexError) as cm:
self.st.pop()
self.assertEqual("stack is empty", str(cm.exception))
# test check empty
def test_03(self):
self.assertTrue(self.st.is_empty())
if __name__ == "__main__":
unittest.main()
| 25.019231 | 58 | 0.661799 | 387 | 2,602 | 4.390181 | 0.152455 | 0.148323 | 0.201295 | 0.222484 | 0.860506 | 0.860506 | 0.826368 | 0.766333 | 0.766333 | 0.766333 | 0 | 0.025226 | 0.192544 | 2,602 | 103 | 59 | 25.262136 | 0.783436 | 0.112606 | 0 | 0.791667 | 0 | 0 | 0.021768 | 0 | 0 | 0 | 0 | 0 | 0.402778 | 1 | 0.222222 | false | 0 | 0.027778 | 0 | 0.291667 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
7fdfdd7bc80aeaee62e7cc6f048c7e1a9213970d | 159 | py | Python | fastapi/dependencies/is_ajax.py | mvx24/code | 4f712d4ac9e90927da3518b9f87deeb3cc72e690 | [
"MIT"
] | null | null | null | fastapi/dependencies/is_ajax.py | mvx24/code | 4f712d4ac9e90927da3518b9f87deeb3cc72e690 | [
"MIT"
] | 8 | 2019-12-11T07:18:36.000Z | 2021-08-31T17:08:14.000Z | fastapi/dependencies/is_ajax.py | mvx24/code | 4f712d4ac9e90927da3518b9f87deeb3cc72e690 | [
"MIT"
] | null | null | null | from fastapi import Header
def is_ajax(x_requested_with: str = Header(None)):
return x_requested_with == "XMLHttpRequest" or x_requested_with == "fetch"
| 26.5 | 78 | 0.761006 | 23 | 159 | 4.956522 | 0.695652 | 0.263158 | 0.368421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144654 | 159 | 5 | 79 | 31.8 | 0.838235 | 0 | 0 | 0 | 0 | 0 | 0.119497 | 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 |
185989228ba8e1e09001522daca6ce572d0c5203 | 41,679 | py | Python | src/ai/heuristic_player_test.py | cpatrasciuc/schnapsen-card-game | e5131ae91c71d341968d682fd625aff3f97cc516 | [
"BSD-3-Clause"
] | null | null | null | src/ai/heuristic_player_test.py | cpatrasciuc/schnapsen-card-game | e5131ae91c71d341968d682fd625aff3f97cc516 | [
"BSD-3-Clause"
] | 18 | 2021-06-03T01:54:51.000Z | 2022-03-30T06:12:08.000Z | src/ai/heuristic_player_test.py | cpatrasciuc/schnapsen-card-game | e5131ae91c71d341968d682fd625aff3f97cc516 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2021 Cristian Patrasciuc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
import pprint
import unittest
from typing import Any, Dict, Tuple, List
from ai.heuristic_player import HeuristicPlayer, HeuristicPlayerOptions
from ai.test_utils import card_list_from_string
from model.card import Card
from model.game_state import GameState, Trick
from model.player_action import ExchangeTrumpCardAction, PlayCardAction, \
PlayerAction, AnnounceMarriageAction, CloseTheTalonAction
from model.player_id import PlayerId
from model.player_pair import PlayerPair
from model.suit import Suit
logging.basicConfig(level="DEBUG")
def _trick_from_string_tuple(string_tuple: Tuple[str, str]) -> Trick:
return PlayerPair(Card.from_string(string_tuple[0]),
Card.from_string(string_tuple[1]))
def _game_view_from_dict(fields: Dict[str, Any]) -> GameState:
cards_in_hand = fields["cards_in_hand"]
fields["cards_in_hand"] = PlayerPair(card_list_from_string(cards_in_hand[0]),
card_list_from_string(cards_in_hand[1]))
trump_card = fields.get("trump_card", None)
fields["trump_card"] = \
Card.from_string(trump_card) if trump_card is not None else None
fields["talon"] = card_list_from_string(fields.get("talon", []))
won_tricks = fields.get("won_tricks", ([], []))
fields["won_tricks"] = PlayerPair(
[_trick_from_string_tuple(str_tuple) for str_tuple in won_tricks[0]],
[_trick_from_string_tuple(str_tuple) for str_tuple in won_tricks[1]])
marriage_suits = fields.get("marriage_suits", None)
if marriage_suits is not None:
fields["marriage_suits"] = PlayerPair(*marriage_suits)
trick_points = fields.get("trick_points", None)
if trick_points is not None:
fields["trick_points"] = PlayerPair(*trick_points)
else:
trick_points = PlayerPair(0, 0)
for player in PlayerId:
if len(fields["won_tricks"][player]) > 0 and \
fields.get("marriage_suits", None) is not None:
for suit in fields["marriage_suits"][player]:
trick_points[player] += 40 if suit == fields["trump"] else 20
for trick in fields["won_tricks"][player]:
trick_points[player] += trick.one.card_value + trick.two.card_value
fields["trick_points"] = trick_points
trick = fields.get("current_trick", None)
if trick is not None:
fields["current_trick"] = PlayerPair(
Card.from_string(trick[0]) if trick[0] is not None else None,
Card.from_string(trick[1]) if trick[1] is not None else None)
game_view = GameState(**fields)
logging.debug("HeuristicPlayerTest: Using game view: %s",
pprint.pformat(str(game_view)))
return game_view
def _is_valid_game_view(game_view: GameState) -> bool:
if len(game_view.cards_in_hand.one) != len(game_view.cards_in_hand.two):
return False
cards_set = game_view.cards_in_hand.one + game_view.cards_in_hand.two + \
game_view.talon + [game_view.trump_card] + \
[trick.one for trick in game_view.won_tricks.one] + \
[trick.two for trick in game_view.won_tricks.one] + \
[trick.one for trick in game_view.won_tricks.two] + \
[trick.two for trick in game_view.won_tricks.two]
cards_set = {card for card in cards_set if card is not None}
num_missing_cards = 20 - len(cards_set)
hidden_cards = len([card for card in game_view.talon if card is None]) + \
len([card for card in game_view.cards_in_hand.two if
card is None])
return num_missing_cards == hidden_cards
def _get_player(**kwargs):
params = {
"priority_discard": False,
"can_close_talon": False,
"save_marriages": False,
"trump_for_marriage": False,
"avoid_direct_loss": False,
"trump_control": False
}
params.update(**kwargs)
options = HeuristicPlayerOptions(**params)
player = HeuristicPlayer(PlayerId.ONE, options)
return player
class HeuristicPlayerTest(unittest.TestCase):
"""Test for HeuristicPlayer with all options set to False."""
def _run_test_cases(self, test_cases: List[Dict[str, Any]]) -> None:
player = _get_player()
for i, test_case in enumerate(test_cases):
expected_action = test_case["expected_action"]
test_case.pop("expected_action")
game_view = _game_view_from_dict(test_case)
self.assertTrue(_is_valid_game_view(game_view),
msg=f"TestCase {i}: {test_case}")
actual_action = player.request_next_action(game_view)
if isinstance(expected_action, PlayerAction):
self.assertEqual(expected_action, actual_action,
msg=f"TestCase {i}: {test_case}")
else:
self.assertIn(actual_action, expected_action,
msg=f"TestCase {i}: {test_case}")
def test_generic_on_lead_do_not_follow_suit(self):
self._run_test_cases([
# Exchanges trump when possible.
{
"cards_in_hand": (["qd", "kc", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": ExchangeTrumpCardAction(PlayerId.ONE)
},
# Play a high trump card if it will secure the win.
{
"cards_in_hand": (["tc", "ks", "ac", "jh", "ad"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([("qc", "ah")], []),
"marriage_suits": ([Suit.CLUBS], []),
"expected_action": {
PlayCardAction(PlayerId.ONE, Card.from_string("ac")),
PlayCardAction(PlayerId.ONE, Card.from_string("tc")),
}
},
# Play a high non trump card if it will secure the lead.
{
"cards_in_hand": (["ks", "qd", "td", "jh", "ad"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None],
"won_tricks": ([("qc", "ah"), ("kc", "jd")], [("tc", "ac")]),
"marriage_suits": ([Suit.CLUBS], []),
"expected_action": {
PlayCardAction(PlayerId.ONE, Card.from_string("ad")),
PlayCardAction(PlayerId.ONE, Card.from_string("td")),
}
},
# Play a high trump card if it will secure the lead. Take into account the
# marriage in hand.
{
"cards_in_hand": (["kd", "qd", "ah", "jd", "ad"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "jh",
"talon": [None, None, None, None, None],
"won_tricks": ([("qc", "as")], [("kc", "tc")]),
"marriage_suits": ([Suit.CLUBS], []),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ah"))
},
# Announce the marriage with queen.
{
"cards_in_hand": (["qd", "kc", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.DIAMONDS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": AnnounceMarriageAction(PlayerId.ONE,
Card.from_string("qc"))
},
# Announce the marriage with king.
{
"cards_in_hand": (["qd", "kc", "jc", "ac", "qc"],
[None, None, None, None, None]),
"trump": Suit.DIAMONDS,
"trump_card": "ad",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([("tc", "js")], []),
"expected_action": AnnounceMarriageAction(PlayerId.ONE,
Card.from_string("kc"))
},
# Discard the smallest non-trump card.
{
"cards_in_hand": (["qh", "qd", "ac", "qs", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": {
PlayCardAction(PlayerId.ONE, Card.from_string("qd")),
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
}
},
])
def test_generic_on_lead_follow_suit(self):
self._run_test_cases([
# Play a non-trump card with the maximum win probability.
{
"cards_in_hand": (["qd", "qs", "kh", "ah"], [None, None, None, "th"]),
"trump": Suit.SPADES,
"trump_card": "ks",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qc")], []),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ah")),
},
# Play a trump card with the maximum win probability.
{
"cards_in_hand": (["qd", "qs", "ks", "th"], [None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "jh",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qc")], []),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("th")),
},
# If we have a marriage pair among the cards with the max winning
# probability, announce it with the king.
{
"cards_in_hand": (["qd", "qs", "ks", "ts"], [None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qc")], []),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": AnnounceMarriageAction(PlayerId.ONE,
Card.from_string("ks")),
},
# If we don't have any chance to win the next trick and we have a
# marriage, announce it.
{
"cards_in_hand": (["qd", "qs", "ks", "ts"], ["as", "ad", None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qc")], []),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": AnnounceMarriageAction(PlayerId.ONE,
Card.from_string("ks")),
},
# Discard the smallest non-trump card.
{
"cards_in_hand": (["ts", "qs", "th", "jd"], ["as", "ah", "ad", None]),
"trump": Suit.SPADES,
"trump_card": "ks",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qd")], []),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jd")),
},
# Discard the smallest trump card.
{
"cards_in_hand": (["ts", "qs"], ["as", None]),
"trump": Suit.SPADES,
"trump_card": "ks",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qd")], [("tc", "ac"), ("jh", "jc")]),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
},
])
def test_generic_not_on_lead_do_not_follow_suit(self):
self._run_test_cases([
# Win with the Queen, keep the Ace for the not-yet-played Ten.
{
"cards_in_hand": (["qd", "ad", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qd"))
},
# If the Ten and King are already played, win with the Ace.
{
"cards_in_hand": (["qd", "ad", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([], [("kd", "td")]),
"current_trick": (None, "jd"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ad"))
},
# Win with the Ten, even if the King is not yet played.
{
"cards_in_hand": (["qd", "td", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("td"))
},
# Don't give up the Ten even if it's the only same-suit card we have.
{
"cards_in_hand": (["qh", "td", "jh", "js", "qs"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "ad"),
"expected_action": {
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
PlayCardAction(PlayerId.ONE, Card.from_string("js")),
}
},
# Break a marriage to win a Jack (options.save_marriage is False).
{
"cards_in_hand": (["qd", "kd", "ad", "js", "qs"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("kd"))
},
# Opponent played a trump card that cannot be won; discard the smallest
# card.
{
"cards_in_hand": (["qd", "kd", "ad", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "tc"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("js"))
},
# Win a Ten with the same suit Ace.
{
"cards_in_hand": (["qd", "ks", "ah", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ah"))
},
# Win a Ten with a trump-card if we don't have the same-suit Ace, even if
# that means breaking the marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("kc"))
},
# Win a Ten with the trump Queen. Save the trump Ace for the trump Ten.
{
"cards_in_hand": (["qd", "jc", "qc", "js", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "tc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qc"))
},
# Win a Ten with the trump Ace if we don't have the same-suit Ace; don't
# save the trump Ace for the trump Ten, if that means breaking the trump
# marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "ac", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
# Win a Ten with the trump Jack if we don't have the same-suit Ace; don't
# use the highest adjacent card if that means breaking the trump marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "jc", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jc"))
},
# Win a Ten with the trump Ace. Don't save the trump Ace for the trump Ten
# if we can exchange the trump card to get the trump marriage.
{
"cards_in_hand": (["qd", "jc", "qc", "jd", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "kc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
{
"cards_in_hand": (["qd", "jc", "kc", "jd", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "qc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
# If this is the last chance to win a trick and be on-lead to exchange the
# trump card and announce the trump marriage, use a trump regardless of
# what the opponent played.
{
"cards_in_hand": (["qd", "jc", "qc", "ad", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "kc",
"talon": [None, None, None],
"won_tricks": ([("kd", "jd")], [("jh", "qh"), ("kh", "ah")]),
"current_trick": (None, "js"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
# If it's not the last chance to win a trick and be on-lead to exchange
# the trump card and announce the trump marriage, do not use a trump yet.
{
"cards_in_hand": (["qd", "jc", "qc", "jd", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "kc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "js"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jd"))
},
# Trump if that gets us the win right now.
{
"cards_in_hand": (["qd", "jh", "qh", "jd", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None],
"won_tricks": ([("qc", "ad")], [("kc", "tc")]),
"marriage_suits": ([Suit.CLUBS], []),
"current_trick": (None, "js"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
# Trump if that gets us the win after one more trick.
{
"cards_in_hand": (["qd", "jh", "qh", "tc", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([("qc", "jd")], []),
"marriage_suits": ([Suit.CLUBS], []),
"current_trick": (None, "js"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("tc"))
},
# Discard the smallest card.
{
"cards_in_hand": (["qd", "jh", "qh", "tc", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "js"),
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jh"))
},
])
def test_generic_not_on_lead_follow_suit(self):
self._run_test_cases([
# Win with the Queen, keep the Ace for the not-yet-played Ten.
{
"cards_in_hand": (["qd", "ad", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qd"))
},
# If the Ten and King are already played, win with the Ace.
{
"cards_in_hand": (["qd", "ad", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([], [("kd", "td")]),
"current_trick": (None, "jd"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ad"))
},
# Win with the Ten, even if the King is not yet played.
{
"cards_in_hand": (["qd", "td", "jc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("td"))
},
# Give up the Ten if it's the only same-suit card we have and we must
# follow suit.
{
"cards_in_hand": (["qh", "td", "jh", "js", "qs"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "ad"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("td"))
},
# Avoid breaking the marriage to win a Jack.
{
"cards_in_hand": (["qd", "kd", "ad", "js", "qs"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ad"))
},
# Discard the smallest card.
{
"cards_in_hand": (["qd", "jh", "qh", "th", "ah"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "js"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jh"))
},
# Use a trump-card even if that means breaking the marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "js", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jh"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("kc"))
},
# Use the trump Queen. Save the trump Ace for the trump Ten.
{
"cards_in_hand": (["qd", "jc", "qc", "js", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "tc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jh"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qc"))
},
# Use the trump Ace; don't save the trump Ace for the trump Ten, if that
# means breaking the trump marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "ac", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "jc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jh"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("ac"))
},
# Use the trump Jack; don't use the highest adjacent card if that means
# breaking the trump marriage.
{
"cards_in_hand": (["qd", "ks", "kc", "jc", "qc"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jh"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("jc"))
},
# The talon is closed so we cannot exchange the trump card to get the
# trump marriage. Use the trump Queen and save the Ace for the trump Ten.
{
"cards_in_hand": (["qd", "jc", "qc", "jd", "ac"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "kc",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": PlayCardAction(PlayerId.ONE, Card.from_string("qc"))
},
])
class HeuristicPlayerOptionsTest(unittest.TestCase):
"""Tests for the HeuristicPlayer options."""
def _run_test_cases_with_option(self, option_name: str,
option_values: List[Any],
test_cases: List[Dict[str, Any]]) -> None:
players = []
for option_value in option_values:
kwargs = {option_name: option_value}
if option_name == "avoid_direct_loss":
kwargs["priority_discard"] = True
players.append(_get_player(**kwargs))
for i, test_case in enumerate(test_cases):
expected_actions = test_case["expected_action"]
test_case.pop("expected_action")
game_view = _game_view_from_dict(test_case)
self.assertTrue(_is_valid_game_view(game_view),
msg=f"TestCase {i}: {test_case}")
for player, expected_action in zip(players, expected_actions):
actual_action = player.request_next_action(game_view)
if isinstance(expected_action, PlayerAction):
self.assertEqual(expected_action, actual_action,
msg=f"TestCase {i}: {test_case}")
else:
self.assertIn(actual_action, expected_action,
msg=f"TestCase {i}: {test_case}")
def test_can_close_talon(self):
self._run_test_cases_with_option("can_close_talon", [False, True], [
# The talon is already closed. Discard the smallest trump card.
{
"cards_in_hand": (["ts", "qs"], ["as", None]),
"trump": Suit.SPADES,
"trump_card": "ks",
"talon": [None, None, None, None, None, None, None, None, None],
"won_tricks": ([("qh", "qd")], [("tc", "ac"), ("jh", "jc")]),
"player_that_closed_the_talon": PlayerId.ONE,
"opponent_points_when_talon_was_closed": 0,
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
]
},
# There is a high chance the opponent has a Heart or a Club.
{
"cards_in_hand": (["qh", "ah", "ad", "kc", "kd"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "as",
"talon": [None],
"won_tricks": ([("qs", "ac"), ("ks", "jd")],
[("tc", "js"), ("jh", "jc")]),
"marriage_suits": ([Suit.SPADES], []),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qh")),
CloseTheTalonAction(PlayerId.ONE),
]
},
# There is a small chance to win if we close the talon.
{
"cards_in_hand": (["qh", "qd", "ac", "ks", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qd")),
PlayCardAction(PlayerId.ONE, Card.from_string("qd")),
]
},
# Make sure the player computes the winning probabilities as if suits must
# be followed.
{
"cards_in_hand": (["qc", "ts", "ah", "as", "ad"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None],
"won_tricks": ([("td", "kd"), ("qd", "jc")], [("jh", "kh")]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qc")),
CloseTheTalonAction(PlayerId.ONE),
]
},
])
def test_save_marriages(self):
self._run_test_cases_with_option("save_marriages", [False, True], [
# Do not break a marriage to win a Jack.
{
"cards_in_hand": (["qd", "kd", "ad", "js", "qs"],
[None, None, None, None, None]),
"trump": Suit.CLUBS,
"trump_card": "ac",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("kd")),
PlayCardAction(PlayerId.ONE, Card.from_string("js")),
]
},
])
def test_priority_discard(self):
self._run_test_cases_with_option("priority_discard", [False, True], [
# Discard a card from an exhausted suit.
{
"cards_in_hand": (["jd", "qd", "ac", "ks", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None],
"won_tricks": ([("qs", "js")], [("ts", "as")]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jd")),
PlayCardAction(PlayerId.ONE, Card.from_string("ks")),
]
},
# Discard a jack with ten protection.
{
"cards_in_hand": (["jd", "jc", "td", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jd")),
PlayCardAction(PlayerId.ONE, Card.from_string("jc")),
]
},
# Discard a jack with no ten protection.
{
"cards_in_hand": (["ks", "jd", "td", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None],
"won_tricks": ([("qs", "js")], [("ts", "th")]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jd")),
PlayCardAction(PlayerId.ONE, Card.from_string("jd")),
]
},
# Discard a Queen/King without marriage chances.
{
"cards_in_hand": (["ks", "qd", "td", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None],
"won_tricks": ([("qs", "js")], [("ts", "th")]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qd")),
PlayCardAction(PlayerId.ONE, Card.from_string("ks")),
]
},
# Discard a Queen/King with marriage chances.
{
"cards_in_hand": (["ks", "qs", "kd", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
PlayCardAction(PlayerId.ONE, Card.from_string("kd")),
]
},
# Discard a Queen/King for a marriage.
{
"cards_in_hand": (["ks", "qs", "ad", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "th"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
]
},
# Discard a non-trump card.
{
"cards_in_hand": (["jh", "qh", "th", "ac", "ad"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "ks"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("ad")),
PlayCardAction(PlayerId.ONE, Card.from_string("ad")),
]
},
])
def test_trump_for_marriage(self):
self._run_test_cases_with_option("trump_for_marriage", [False, True], [
# Trump to take the lead and announce a non-trump marriage.
{
"cards_in_hand": (["ks", "qs", "th", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qs")),
PlayCardAction(PlayerId.ONE, Card.from_string("th")),
]
},
# We have the trump marriage, but we cannot trump since we don't have a
# third trump card to use.
{
"cards_in_hand": (["kh", "qh", "ts", "ac", "tc"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("ts")),
PlayCardAction(PlayerId.ONE, Card.from_string("ts")),
]
},
# Use trump Ace to take the lead and announce the trump marriage.
{
"cards_in_hand": (["kh", "qh", "ts", "ac", "ah"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "th",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "jd"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("ts")),
PlayCardAction(PlayerId.ONE, Card.from_string("ah")),
]
},
])
def test_avoid_direct_loss(self):
self._run_test_cases_with_option("avoid_direct_loss", [False, True], [
# Play a trump card instead of discarding the smallest non trump card.
{
"cards_in_hand": (["jh", "td", "th", "kh", "ad"],
[None, None, None, None, None]),
"trump": Suit.HEARTS,
"trump_card": "ah",
"talon": [None],
"won_tricks": ([],
[("kd", "tc"), ("js", "qs"), ("ts", "as"),
("jc", "ac")]),
"current_trick": (None, "qc"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("td")),
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
]
},
# Play the smallest card instead of discarding a card from an exhausted
# suit.
{
"cards_in_hand": (["jh", "td", "th", "tc", "ad"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "as",
"talon": [None],
"won_tricks": ([],
[("jc", "qc"), ("kc", "ts"), ("ac", "js"),
("jd", "kh")]),
"marriage_suits": ([], [Suit.HEARTS]),
"current_trick": (None, "ks"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("tc")),
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
]
},
# There is no direct loss; discard a small card.
{
"cards_in_hand": (["jh", "td", "ts", "tc", "ad"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "as",
"talon": [None, None, None, None, None, None, None, None, None],
"current_trick": (None, "kh"),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
]
},
])
def test_trump_control(self):
self._run_test_cases_with_option("trump_control", [False, True], [
# No trumps after one trick. Play a high card.
{
"cards_in_hand": (["jh", "jd", "th", "kc", "qd"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "as",
"talon": [None, None, None, None, None, None, None],
"won_tricks": ([("qc", "jc")], []),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
PlayCardAction(PlayerId.ONE, Card.from_string("th")),
]
},
# There is no need to trump control; discard a small card.
{
"cards_in_hand": (["jh", "ts", "ks", "tc", "ad"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "as",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
]
},
# The opponent has more trumps than us, but we cannot play a high card
# since the opponent might trump it and win the game.
{
"cards_in_hand": (["qh", "td", "th", "tc", "ah"],
["qs", None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None, None, None],
"won_tricks": ([],
[("ad", "ks"), ("qc", "qd")]),
"marriage_suits": ([], [Suit.SPADES]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qh")),
PlayCardAction(PlayerId.ONE, Card.from_string("qh")),
]
},
# No trump control since there are no more trumps.
{
"cards_in_hand": (["qh", "td", "th", "ts", "as"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None, None, None],
"won_tricks": ([("ks", "ad"), ("qs", "qd")],
[]),
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("qh")),
PlayCardAction(PlayerId.ONE, Card.from_string("qh")),
]
},
# No trump control since we have no high cards.
{
"cards_in_hand": (["qh", "jd", "jh", "ks", "jc"],
[None, None, None, None, None]),
"trump": Suit.SPADES,
"trump_card": "js",
"talon": [None, None, None, None, None, None, None, None, None],
"expected_action": [
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
PlayCardAction(PlayerId.ONE, Card.from_string("jh")),
]
},
])
| 42.399797 | 80 | 0.544351 | 4,952 | 41,679 | 4.398223 | 0.053716 | 0.249036 | 0.305234 | 0.316621 | 0.796878 | 0.781772 | 0.758402 | 0.724151 | 0.705188 | 0.671488 | 0 | 0.001383 | 0.288587 | 41,679 | 982 | 81 | 42.442974 | 0.733162 | 0.1078 | 0 | 0.593533 | 0 | 0 | 0.191485 | 0.031546 | 0 | 0 | 0 | 0 | 0.006928 | 1 | 0.018476 | false | 0 | 0.013857 | 0.001155 | 0.040416 | 0.002309 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a16e89b38ecc92231e175c110260b96d12520a19 | 22,360 | py | Python | tests/test_read_pbox_json.py | swenkel/pdq_evaluation | 97e1e31c4e48bc40eafa9b9c6e2ef9d9b90bb869 | [
"BSD-3-Clause"
] | 34 | 2019-04-17T15:36:53.000Z | 2022-03-26T16:56:23.000Z | tests/test_read_pbox_json.py | swenkel/pdq_evaluation | 97e1e31c4e48bc40eafa9b9c6e2ef9d9b90bb869 | [
"BSD-3-Clause"
] | 5 | 2020-07-20T13:58:40.000Z | 2021-04-08T23:32:43.000Z | tests/test_read_pbox_json.py | swenkel/pdq_evaluation | 97e1e31c4e48bc40eafa9b9c6e2ef9d9b90bb869 | [
"BSD-3-Clause"
] | 7 | 2019-07-29T14:51:31.000Z | 2021-02-13T07:41:08.000Z | import unittest
import numpy as np
from data_holders import BBoxDetInst, PBoxDetInst, GroundTruthInstance
import os
import shutil
import json
import read_files
class TestReadPBoxJson(unittest.TestCase):
def setUp(self):
self.det_files_root = '/tmp/pdq_utest_read_files/'
if not os.path.isdir(self.det_files_root):
os.makedirs(self.det_files_root)
self.default_det_dict = {'bbox': [750, 750, 1250, 1250], "label_probs": [0, 1, 0]}
self.default_covar = [[1000, 0], [0, 1000]]
self.defaul_det_classes = ['background', 'square', 'cross']
self.default_img_names = ['square.jpg']
self.default_gt_classes = ['none', 'square', 'cross', 'diamond']
self.default_gt_class_ids_dict = {'none': 0, 'square': 1, 'cross': 2, 'diamond': 3}
def tearDown(self):
if os.path.isdir(self.det_files_root):
shutil.rmtree(self.det_files_root)
def test_single_pbox(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_two_pboxes_one_img(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict, self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 2)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertIsInstance(img_dets[1], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
self.assertTrue(np.allclose(img_dets[1].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[1].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[1].class_list), self.default_det_dict['label_probs'])
def test_two_pboxes_two_imgs(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict], [self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 2)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_empty_img(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict], []]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 2)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 0)
def test_single_pbox_w_extra_gt_label(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name, self.default_gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = [0, 1, 0, 0]
self.assertListEqual(list(img_dets[0].class_list), expected_label_probs)
def test_single_pbox_w_rearranged_gt_label(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
gt_class_ids_dict = {'none': 0, 'cross': 1, 'square': 2}
detections = read_files.read_pbox_json(det_file_name, gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = [0, 0, 1]
self.assertListEqual(list(img_dets[0].class_list), expected_label_probs)
def test_single_pbox_w_fewer_gt_labels(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
gt_class_ids_dict = {'square': 0, 'cross': 1}
detections = read_files.read_pbox_json(det_file_name, gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = [1, 0]
self.assertListEqual(list(img_dets[0].class_list), expected_label_probs)
def test_single_pbox_w_gt_label_id_skipped(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
gt_class_ids_dict = {'square': 1, 'cross': 4}
detections = read_files.read_pbox_json(det_file_name, gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = [0, 1, 0, 0, 0]
self.assertListEqual(list(img_dets[0].class_list), expected_label_probs)
def test_single_pbox_w_synonym_label_id(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
self.default_det_dict.update({'label_probs': [0.3, 0.7, 0]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
gt_class_ids_dict = {'none': 0, 'cross': 1, 'square': 2}
detections = read_files.read_pbox_json(det_file_name, gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = np.array([0.3, 0.0, 0.7])
self.assertTrue(np.allclose(img_dets[0].class_list, expected_label_probs))
def test_single_pbox_w_non_gt_class(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
self.default_det_dict.update({'label_probs': [0, 0.7, 0.3]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
gt_class_ids_dict = {'none': 0, 'diamond': 1, 'square': 2}
detections = read_files.read_pbox_json(det_file_name, gt_class_ids_dict)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
expected_label_probs = np.array([0.0, 0.0, 0.7])
self.assertTrue(np.allclose(img_dets[0].class_list, expected_label_probs))
def test_single_bbox(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_single_bbox_0_covar_in_file(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_single_bbox_set_covar_0(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [[[0, 0], [0, 0]], [[0, 0], [0, 0]]]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_single_bbox_set_covar_0_base_covar_non_zero(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name, override_cov=0)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_single_pbox_set_covar(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
det_data['detections'] = [[self.default_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name, override_cov=200)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [[[200, 0], [0, 200]], [[200, 0], [0, 200]]]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
def test_one_pbox_one_bbox_one_img(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
# Create one bbox detection and one pbox detection
box_det_dict = self.default_det_dict.copy()
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict, box_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 1)
self.assertIsInstance(detections, read_files.BoxLoader)
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 2)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertIsInstance(img_dets[1], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertTrue(np.allclose(img_dets[1].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
self.assertListEqual(list(img_dets[1].class_list), self.default_det_dict['label_probs'])
def test_one_pbox_one_bbox_diff_imgs(self):
# Create detection.json file
det_data = {}
det_data['classes'] = self.defaul_det_classes
det_data['img_names'] = self.default_img_names
# Create one bbox detection and one pbox detection
box_det_dict = self.default_det_dict.copy()
self.default_det_dict.update({'covars': [self.default_covar, self.default_covar]})
det_data['detections'] = [[self.default_det_dict], [box_det_dict]]
det_file_name = os.path.join(self.det_files_root, 'det_file.json')
with open(det_file_name, 'w') as f:
json.dump(det_data, f)
detections = read_files.read_pbox_json(det_file_name)
self.assertEqual(len(detections), 2)
self.assertIsInstance(detections, read_files.BoxLoader)
# Image 1
img_iterator = iter(detections)
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], PBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].covs, [self.default_covar, self.default_covar]))
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
# Image 2
img_dets = next(img_iterator)
self.assertEqual(len(img_dets), 1)
self.assertIsInstance(img_dets[0], BBoxDetInst)
self.assertTrue(np.allclose(img_dets[0].box, self.default_det_dict['bbox']))
self.assertListEqual(list(img_dets[0].class_list), self.default_det_dict['label_probs'])
| 43.333333 | 100 | 0.678936 | 3,069 | 22,360 | 4.63115 | 0.038123 | 0.116091 | 0.072891 | 0.093717 | 0.953071 | 0.949272 | 0.946106 | 0.939844 | 0.93907 | 0.93907 | 0 | 0.012685 | 0.196154 | 22,360 | 515 | 101 | 43.417476 | 0.778068 | 0.025581 | 0 | 0.830645 | 0 | 0 | 0.056061 | 0.001195 | 0 | 0 | 0 | 0 | 0.354839 | 1 | 0.051075 | false | 0 | 0.018817 | 0 | 0.072581 | 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 |
a1fa52a5e7e3eb0297f159d2fbadb323b43037a7 | 177 | py | Python | testsuite/N81x_py3.py | danielpatrickdotdev/pep8-naming | 884f3c40880fcc4c4e3f83e0006f7ec4113213fe | [
"MIT"
] | 335 | 2015-12-18T00:05:05.000Z | 2022-03-30T09:40:56.000Z | testsuite/N81x_py3.py | DalavanCloud/pep8-naming | 6fc2dc694c729403360f10e2545c6602b9a53727 | [
"MIT"
] | 118 | 2015-12-17T03:42:54.000Z | 2022-02-05T15:25:48.000Z | testsuite/N81x_py3.py | DalavanCloud/pep8-naming | 6fc2dc694c729403360f10e2545c6602b9a53727 | [
"MIT"
] | 64 | 2015-12-28T11:46:52.000Z | 2022-03-23T09:45:42.000Z | # python_version >= '3'
#: Okay
import good as γ
#: Okay
from mod import good as γ
#: Okay
import GOOD as Γ
#: Okay
from mod import GOOD as Γ
#: Okay
from mod import GOOD as Γ1
| 14.75 | 26 | 0.689266 | 34 | 177 | 3.558824 | 0.323529 | 0.413223 | 0.495868 | 0.429752 | 0.867769 | 0.867769 | 0.867769 | 0.867769 | 0.867769 | 0.867769 | 0 | 0.014599 | 0.225989 | 177 | 11 | 27 | 16.090909 | 0.868613 | 0.288136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 12 |
b81a2117394077b1943771d20f48422326412917 | 446 | py | Python | problems/p006.py | tshralper/tabula-rasa_project-euler | 3eb924ae4a38d877098f6b8f8e1118f8ae3514e2 | [
"MIT"
] | 3 | 2018-08-15T18:50:35.000Z | 2018-08-15T19:04:46.000Z | problems/p006.py | tshralper/tabula-rasa_project-euler | 3eb924ae4a38d877098f6b8f8e1118f8ae3514e2 | [
"MIT"
] | null | null | null | problems/p006.py | tshralper/tabula-rasa_project-euler | 3eb924ae4a38d877098f6b8f8e1118f8ae3514e2 | [
"MIT"
] | 1 | 2018-08-15T18:50:46.000Z | 2018-08-15T18:50:46.000Z | #The sum of the squares of the first ten natural numbers is,
#
#1^2 + 2^2 + ... + 10^2 = 385
#The square of the sum of the first ten natural numbers is,
#
#(1 + 2 + ... + 10)^2 = 55^2 = 3025
#Hence the difference between the sum of the squares of the first ten natural numbers and the square of the sum is 3025 − 385 = 2640.
#
#Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum. | 49.555556 | 133 | 0.704036 | 86 | 446 | 3.662791 | 0.290698 | 0.15873 | 0.101587 | 0.139683 | 0.838095 | 0.784127 | 0.784127 | 0.784127 | 0.612698 | 0.501587 | 0 | 0.094017 | 0.213004 | 446 | 9 | 134 | 49.555556 | 0.80057 | 0.961883 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 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 |
1a017ffa5619963fb1c5f77a182edb62fc155c8b | 157 | py | Python | newcomers_guide/link_regular_expression.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 12 | 2017-08-30T18:21:00.000Z | 2021-12-09T04:04:17.000Z | newcomers_guide/link_regular_expression.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 424 | 2017-08-08T18:32:14.000Z | 2022-03-30T21:42:51.000Z | newcomers_guide/link_regular_expression.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 7 | 2017-09-29T21:14:37.000Z | 2019-12-30T21:07:37.000Z |
url_regular_expression = r'(https?://[a-zA-Z0-9\.\?\&\#\+\/\_\-\=\(\)\@]*[a-zA-Z0-9/])'
email_regular_expression = r'([a-zA-Z]+@[^@\s]+\.[^@\s]+[a-zA-Z])'
| 31.4 | 87 | 0.484076 | 25 | 157 | 2.84 | 0.48 | 0.169014 | 0.507042 | 0.169014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026846 | 0.050955 | 157 | 4 | 88 | 39.25 | 0.449664 | 0 | 0 | 0 | 0 | 0.5 | 0.608974 | 0.608974 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
1a1d6402b6cb90b72726665dbbb81d46d85971c7 | 10,487 | py | Python | src/collectors/mongodb/test/testmongodb.py | matt-ullmer/Diamond | 6ea198f3ebe58473467c6dc38b20e683c278192c | [
"MIT"
] | 2 | 2015-03-13T05:46:54.000Z | 2015-11-05T15:54:28.000Z | src/collectors/mongodb/test/testmongodb.py | matt-ullmer/Diamond | 6ea198f3ebe58473467c6dc38b20e683c278192c | [
"MIT"
] | 1 | 2019-01-31T01:00:14.000Z | 2019-01-31T01:00:14.000Z | src/collectors/mongodb/test/testmongodb.py | matt-ullmer/Diamond | 6ea198f3ebe58473467c6dc38b20e683c278192c | [
"MIT"
] | 2 | 2019-01-30T23:51:03.000Z | 2020-02-04T19:27:26.000Z | #!/usr/bin/python
# coding=utf-8
################################################################################
from test import CollectorTestCase
from test import get_collector_config
from test import unittest
from test import run_only
from mock import MagicMock
from mock import patch
from mock import call
from diamond.collector import Collector
from mongodb import MongoDBCollector
################################################################################
def run_only_if_pymongo_is_available(func):
try:
import pymongo
except ImportError:
pymongo = None
pred = lambda: pymongo is not None
return run_only(func, pred)
class TestMongoDBCollector(CollectorTestCase):
def setUp(self):
config = get_collector_config('MongoDBCollector', {
'host': 'localhost:27017',
'databases': '^db',
})
self.collector = MongoDBCollector(config, None)
self.connection = MagicMock()
def test_import(self):
self.assertTrue(MongoDBCollector)
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_nested_keys_for_server_stats(self,
publish_mock,
connector_mock):
data = {'more_keys': {'nested_key': 1}, 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection.db.command.assert_called_once_with('serverStatus')
self.assertPublishedMany(publish_mock, {
'more_keys.nested_key': 1,
'key': 2
})
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_nested_keys_for_db_stats(self,
publish_mock,
connector_mock):
data = {'db_keys': {'db_nested_key': 1}, 'dbkey': 2, 'dbstring': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection['db1'].command.assert_called_once_with('dbStats')
metrics = {
'db_keys.db_nested_key': 1,
'dbkey': 2
}
self.setDocExample(collector=self.collector.__class__.__name__,
metrics=metrics,
defaultpath=self.collector.config['path'])
self.assertPublishedMany(publish_mock, metrics)
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_stats_with_long_type(self,
publish_mock,
connector_mock):
data = {'more_keys': long(1), 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection.db.command.assert_called_once_with('serverStatus')
self.assertPublishedMany(publish_mock, {
'more_keys': 1,
'key': 2
})
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_ignore_unneeded_databases(self,
publish_mock,
connector_mock):
self._annotate_connection(connector_mock, {})
self.collector.collect()
assert call('baddb') not in self.connection.__getitem__.call_args_list
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_ignore_unneeded_collections(self,
publish_mock,
connector_mock):
data = {'more_keys': long(1), 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.connection['db1'].collection_names.return_value = ['collection1',
'tmp.mr.tmp1']
self.connection['db1'].command.return_value = {'key': 2,
'string': 'str'}
self.collector.collect()
self.connection.db.command.assert_called_once_with('serverStatus')
self.connection['db1'].collection_names.assert_called_once_with()
self.connection['db1'].command.assert_any_call('dbStats')
self.connection['db1'].command.assert_any_call('collstats',
'collection1')
assert call('collstats', 'tmp.mr.tmp1') not in self.connection['db1'].command.call_args_list # NOQA
metrics = {
'databases.db1.collection1.key': 2,
}
self.assertPublishedMany(publish_mock, metrics)
def _annotate_connection(self, connector_mock, data):
connector_mock.return_value = self.connection
self.connection.db.command.return_value = data
self.connection.database_names.return_value = ['db1', 'baddb']
class TestMongoMultiHostDBCollector(CollectorTestCase):
def setUp(self):
config = get_collector_config('MongoDBCollector', {
'hosts': ['localhost:27017', 'localhost:27057'],
'databases': '^db',
})
self.collector = MongoDBCollector(config, None)
self.connection = MagicMock()
def test_import(self):
self.assertTrue(MongoDBCollector)
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_nested_keys_for_server_stats(self,
publish_mock,
connector_mock):
data = {'more_keys': {'nested_key': 1}, 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection.db.command.assert_called_with('serverStatus')
self.assertPublishedMany(publish_mock, {
'localhost_27017.more_keys.nested_key': 1,
'localhost_27057.more_keys.nested_key': 1,
'localhost_27017.key': 2,
'localhost_27057.key': 2
})
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_nested_keys_for_db_stats(self,
publish_mock,
connector_mock):
data = {'db_keys': {'db_nested_key': 1}, 'dbkey': 2, 'dbstring': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection['db1'].command.assert_called_with('dbStats')
metrics = {
'localhost_27017.db_keys.db_nested_key': 1,
'localhost_27057.db_keys.db_nested_key': 1,
'localhost_27017.dbkey': 2,
'localhost_27057.dbkey': 2
}
self.setDocExample(collector=self.collector.__class__.__name__,
metrics=metrics,
defaultpath=self.collector.config['path'])
self.assertPublishedMany(publish_mock, metrics)
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_publish_stats_with_long_type(self,
publish_mock,
connector_mock):
data = {'more_keys': long(1), 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.collector.collect()
self.connection.db.command.assert_called_with('serverStatus')
self.assertPublishedMany(publish_mock, {
'localhost_27017.more_keys': 1,
'localhost_27057.more_keys': 1,
'localhost_27017.key': 2,
'localhost_27057.key': 2
})
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_ignore_unneeded_databases(self,
publish_mock,
connector_mock):
self._annotate_connection(connector_mock, {})
self.collector.collect()
assert call('baddb') not in self.connection.__getitem__.call_args_list
@run_only_if_pymongo_is_available
@patch('pymongo.Connection')
@patch.object(Collector, 'publish')
def test_should_ignore_unneeded_collections(self,
publish_mock,
connector_mock):
data = {'more_keys': long(1), 'key': 2, 'string': 'str'}
self._annotate_connection(connector_mock, data)
self.connection['db1'].collection_names.return_value = ['collection1',
'tmp.mr.tmp1']
self.connection['db1'].command.return_value = {'key': 2,
'string': 'str'}
self.collector.collect()
self.connection.db.command.assert_called_with('serverStatus')
self.connection['db1'].collection_names.assert_called_with()
self.connection['db1'].command.assert_any_call('dbStats')
self.connection['db1'].command.assert_any_call('collstats',
'collection1')
assert call('collstats', 'tmp.mr.tmp1') not in self.connection['db1'].command.call_args_list # NOQA
metrics = {
'localhost_27017.databases.db1.collection1.key': 2,
'localhost_27057.databases.db1.collection1.key': 2,
}
self.assertPublishedMany(publish_mock, metrics)
def _annotate_connection(self, connector_mock, data):
connector_mock.return_value = self.connection
self.connection.db.command.return_value = data
self.connection.database_names.return_value = ['db1', 'baddb']
################################################################################
if __name__ == "__main__":
unittest.main()
| 39.424812 | 108 | 0.570897 | 1,005 | 10,487 | 5.636816 | 0.106468 | 0.074139 | 0.054016 | 0.031068 | 0.896911 | 0.884025 | 0.872904 | 0.861783 | 0.858605 | 0.820124 | 0 | 0.021303 | 0.306189 | 10,487 | 265 | 109 | 39.573585 | 0.757284 | 0.003719 | 0 | 0.784689 | 0 | 0 | 0.137593 | 0.037044 | 0 | 0 | 0 | 0 | 0.133971 | 1 | 0.08134 | false | 0 | 0.062201 | 0 | 0.157895 | 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 |
c50fd59927da1d53a27e1e317c3ff12e44a2de97 | 23,329 | py | Python | tests_tc/unit/broker/test_broker_trading_runs.py | tom3c/qstrader | 015f0e52f2879c160f372306b0c0bd2d4e843ab4 | [
"MIT"
] | null | null | null | tests_tc/unit/broker/test_broker_trading_runs.py | tom3c/qstrader | 015f0e52f2879c160f372306b0c0bd2d4e843ab4 | [
"MIT"
] | null | null | null | tests_tc/unit/broker/test_broker_trading_runs.py | tom3c/qstrader | 015f0e52f2879c160f372306b0c0bd2d4e843ab4 | [
"MIT"
] | null | null | null | import sys
sys.path.append('T:\Projects_Code\_My_Work\_Strategy_Analysis\qstrader')
import pandas as pd
import pytest
import pytz
from qstrader.asset.universe_mc.static_mc import StaticUniverse_MC
from qstrader.broker.simulated_broker_mc import SimulatedBroker_MC
from qstrader.asset.asset_mc.equity_mc import Equity_MC
from qstrader.asset.asset_mc.cash_mc import Cash_MC
from qstrader.asset.universe_mc.static_mc import StaticUniverse_MC
from qstrader.data.backtest_data_handler import BacktestDataHandler
from qstrader.data.daily_bar_equity_csv import CSVDailyBarEquityDataSource
from qstrader.data.daily_bar_fx_csv import CSVDailyBarFxDataSource
import uuid
from qstrader.execution.order_mc import Order_MC
#import test_broker_helper as tbh - ********At some point get these working********
csv_dir = 'T:/Projects_Code/_My_Work/_Strategy_Analysis/qstrader/tests_tc/unit/broker/data'
equity_assets = [('AS51', 'AUD'), ('NKY', 'JPY'), ('DAX', 'EUR'), ('IBEX', 'EUR'), ('UKX', 'GBP'), ('SPX', 'USD'), ('CCMP', 'USD')]
stock_list = ['AS51', 'NKY', 'DAX', 'IBEX','UKX','SPX','CCMP']
currency_list = ['AUD','JPY','EUR','GBP']
def get_order_mc(order_type, dt, asset, quantity, commission, currency, auto_fx):
order_id = uuid.uuid4().hex
return Order_MC(
order_type,
dt,
asset,
quantity,
commission,
currency,
auto_fx,
order_id,
)
class ExchangeMock(object):
def is_open_at_datetime(self, dt):
return True
def test_broker_trading_run_auto_fx():
start_dt = pd.Timestamp('2020-10-02 21:00:00', tz=pytz.UTC)
universe = StaticUniverse_MC(equity_assets)
data_source_equity = CSVDailyBarEquityDataSource(csv_dir, Equity_MC, csv_symbols=stock_list)
data_source_fx = CSVDailyBarFxDataSource(csv_dir, Cash_MC, csv_symbols=currency_list)
data_handler = BacktestDataHandler(universe, data_sources=[data_source_equity, data_source_fx])
exchange_mock = ExchangeMock()
sbwp = SimulatedBroker_MC(start_dt, universe, exchange_mock, data_handler)
sbwp.create_portfolio(portfolio_id=1234, name="My Portfolio #1")
sbwp.subscribe_funds_to_account(7500000.0)
sbwp.subscribe_funds_to_portfolio("1234", 7500000.00)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'AS51', 90, 0.0, 'AUD', True)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'DAX', 80, 0.0, 'EUR', True)
order3 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'IBEX', 5, 0.0, 'EUR', True)
order4 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'SPX', 1000, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.submit_order("1234", order3)
sbwp.submit_order("1234", order4)
sbwp.update(pd.Timestamp('2020-10-05 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.get_position('AS51') == 90
assert port.get_position('DAX') == 80
assert port.get_position('IBEX') == 5
assert port.get_position('SPX') == 1000
assert port.get_mv_local('AS51') == 535680.00
assert round(port.get_mv_local('DAX'),4) == 1020381.60
assert port.get_mv_local('IBEX') == 33318.00
assert port.get_mv_local('SPX') == 3341210.00
assert round(port.get_mv_base('AS51'),4) == 384671.8080
assert port.get_mv_base('DAX') == 1202315.63928
assert port.get_mv_base('IBEX') == 39258.5994
assert port.get_mv_base('SPX') == 3341210.00
assert port.get_position('AUD') == 0.0
assert port.total_cash_value_local('AUD') == 0.0
assert port.get_position('JPY') == 0.0
assert port.total_cash_value_local('JPY') == 0.0
assert port.get_position('EUR') == 0.0
assert port.total_cash_value_local('EUR') == 0.0
assert port.get_position('GBP') == 0.0
assert port.total_cash_value_local('GBP') == 0.0
assert round(port.get_position('USD'),4) == 2532543.9533
assert round(port.total_cash_value_local('USD'),4) == 2532543.9533
assert round(port.total_cash_value_base,4) == 2532543.9533
assert port.total_market_value_local('AUD') == 535680.00
assert port.total_market_value_local('JPY') == 0.0
assert port.total_market_value_local('EUR') == 1053699.6
assert port.total_market_value_local('GBP') == 0.0
assert port.total_market_value_local('USD') == 3341210.00
# assert port.total_market_value_base('AUD') == 384671.8080
# assert port.total_market_value_base('JPY') == 0.0
# assert port.total_market_value_base('EUR') == 1241574.23868
# assert port.total_market_value_base('GBP') == 0.0
# assert port.total_market_value_base('USD') == 3341210.00
assert port.total_market_value_base == 4967456.04668
assert port.total_equity_base == 7500000.0
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-08 14:30:00', tz=pytz.UTC), 'CCMP', 200, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-08 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-12 14:30:00', tz=pytz.UTC), 'NKY', 50, 0.0, 'JPY', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-12 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-14 14:30:00', tz=pytz.UTC), 'IBEX', -5, 0.0, 'EUR', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-14 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'DAX', -5, 0.0, 'EUR', True)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'CCMP', 20, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-16 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-19 14:30:00', tz=pytz.UTC), 'NKY', -50, 0.0, 'JPY', True)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-19 14:30:00', tz=pytz.UTC), 'DAX', -15, 0.0, 'EUR', True)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-19 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-20 14:30:00', tz=pytz.UTC), 'SPX', 100, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-20 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-21 14:30:00', tz=pytz.UTC), 'IBEX', 5, 0.0, 'EUR', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-21 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-22 14:30:00', tz=pytz.UTC), 'DAX', -5, 0.0, 'EUR', True)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-22 14:30:00', tz=pytz.UTC), 'UKX', 10, 0.0, 'GBP', True)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-22 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-23 14:30:00', tz=pytz.UTC), 'UKX', 10, 0.0, 'GBP', True)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-23 14:30:00', tz=pytz.UTC), 'CCMP', -220, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-23 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-27 14:30:00', tz=pytz.UTC), 'UKX', 5, 0.0, 'GBP', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-27 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-28 14:30:00', tz=pytz.UTC), 'SPX', -1100, 0.0, 'USD', True)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-28 21:00:00', tz=pytz.UTC))
sbwp.update(pd.Timestamp('2020-10-29 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.get_position('AS51') == 90
assert port.get_position('NKY') == 0.0
assert port.get_position('DAX') == 55
assert port.get_position('IBEX') == 5
assert port.get_position('UKX') == 25
assert port.get_position('SPX') == 0.0
assert port.get_position('CCMP') == 0.0
assert port.get_mv_local('AS51') == 555030.00
assert port.get_mv_local('NKY') == 0.00
assert port.get_mv_local('DAX') == 676687.55
assert port.get_mv_local('IBEX') == 33989.50
assert port.get_mv_local('UKX') == 146507.00
assert port.get_mv_local('SPX') == 0.0
assert port.get_mv_local('CCMP') == 0.0
assert port.get_mv_base('AS51') == 390130.587
assert port.get_mv_base('NKY') == 0.00
assert port.get_mv_base('DAX') == 789965.04587
assert port.get_mv_base('IBEX') == 39679.3423
assert round(port.get_mv_base('UKX'),4) == 189433.5510
assert port.get_mv_base('SPX') == 0.0
assert port.get_mv_base('CCMP') == 0.0
assert port.get_position('AUD') == 0.0
assert port.total_cash_value_local('AUD') == 0.0
assert port.get_position('JPY') == 0.0
assert port.total_cash_value_local('JPY') == 0.0
assert port.get_position('EUR') == 0.0
assert port.total_cash_value_local('EUR') == 0.0
assert port.get_position('GBP') == 0.0
assert port.total_cash_value_local('GBP') == 0.0
assert round(port.get_position('USD'),4) == 6255589.0422
assert round(port.total_cash_value_local('USD'),4) == 6255589.0422
assert round(port.total_cash_value_base,4) == 6255589.0422
assert port.total_market_value_local('AUD') == 555030.00
assert port.total_market_value_local('JPY') == 0.0
assert port.total_market_value_local('EUR') == 710677.05
assert port.total_market_value_local('GBP') == 146507
assert port.total_market_value_local('USD') == 0.0
# assert port.total_market_value_base('AUD') == 384671.8080
# assert port.total_market_value_base('JPY') == 0.0
# assert port.total_market_value_base('EUR') == 1241574.23868
# assert port.total_market_value_base('GBP') == 0.0
# assert port.total_market_value_base('USD') == 3341210.00
assert port.total_market_value_base == 1409208.52617
assert round(port.total_equity_base,4) == 7664797.5684
def test_broker_trading_run():
start_dt = pd.Timestamp('2020-10-02 21:00:00', tz=pytz.UTC)
universe = StaticUniverse_MC(equity_assets)
data_source_equity = CSVDailyBarEquityDataSource(csv_dir, Equity_MC, csv_symbols=stock_list)
data_source_fx = CSVDailyBarFxDataSource(csv_dir, Cash_MC, csv_symbols=currency_list)
data_handler = BacktestDataHandler(universe, data_sources=[data_source_equity, data_source_fx])
exchange_mock = ExchangeMock()
sbwp = SimulatedBroker_MC(start_dt, universe, exchange_mock, data_handler)
sbwp.create_portfolio(portfolio_id=1234, name="My Portfolio #1")
sbwp.subscribe_funds_to_account(14000000.0)
sbwp.subscribe_funds_to_portfolio("1234", 14000000.00)
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'AUD', 1000000, 0.0, 'USD', False)
fx_order2 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'EUR', 3000000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'AS51', 90, 0.0, 'AUD', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'DAX', 80, 0.0, 'EUR', False)
order3 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'IBEX', 5, 0.0, 'EUR', False)
order4 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-05 14:30:00', tz=pytz.UTC), 'SPX', 1000, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", fx_order2)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.submit_order("1234", order3)
sbwp.submit_order("1234", order4)
sbwp.update(pd.Timestamp('2020-10-05 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.get_position('AS51') == 90
assert port.get_position('NKY') == 0.0
assert port.get_position('DAX') == 80
assert port.get_position('IBEX') == 5
assert port.get_position('UKX') == 0
assert port.get_position('SPX') == 1000
assert port.get_position('CCMP') == 0.0
assert port.get_mv_local('AS51') == 535680.0
assert port.get_mv_local('NKY') == 0.00
assert round(port.get_mv_local('DAX'),4) == 1020381.6
assert port.get_mv_local('IBEX') == 33318
assert port.get_mv_local('UKX') == 0.0
assert port.get_mv_local('SPX') == 3341210.0
assert port.get_mv_local('CCMP') == 0.0
assert round(port.get_mv_base('AS51'),4) == 384671.8080
assert port.get_mv_base('NKY') == 0.00
assert port.get_mv_base('DAX') == 1202315.63928
assert port.get_mv_base('IBEX') == 39258.5994
assert round(port.get_mv_base('UKX'),4) == 0.0
assert port.get_mv_base('SPX') == 3341210.0
assert port.get_mv_base('CCMP') == 0.0
assert port.get_position('AUD') == 464320.0
assert port.total_cash_value_local('AUD') == 464320.0
assert port.get_position('JPY') == 0.0
assert port.total_cash_value_local('JPY') == 0.0
assert port.get_position('EUR') == 1946300.4
assert port.total_cash_value_local('EUR') == 1946300.4
assert port.get_position('GBP') == 0.0
assert port.total_cash_value_local('GBP') == 0.0
assert round(port.get_position('USD'),4) == 6405790.0000
assert round(port.total_cash_value_local('USD'),4) == 6405790.0000
assert round(port.total_cash_value_base,4) == 9032543.9533
assert port.total_market_value_local('AUD') == 535680.0
assert port.total_market_value_local('JPY') == 0.0
assert port.total_market_value_local('EUR') == 1053699.6
assert port.total_market_value_local('GBP') == 0.0
assert port.total_market_value_local('USD') == 3341210.0
assert port.total_market_value_base == 4967456.04668
assert port.total_equity_base == 14000000.0
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-06 14:30:00', tz=pytz.UTC), 'EUR', -400000, 0.0, 'GBP', False)
sbwp.submit_order("1234", fx_order1)
sbwp.update(pd.Timestamp('2020-10-06 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-08 14:30:00', tz=pytz.UTC), 'AUD', 2000000, 0.0, 'EUR', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-08 14:30:00', tz=pytz.UTC), 'AS51', 150, 0.0, 'AUD', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-08 14:30:00', tz=pytz.UTC), 'CCMP', 200, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-08 21:00:00', tz=pytz.UTC))
sbwp.update(pd.Timestamp('2020-10-09 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.get_position('AS51') == 240
assert port.get_position('NKY') == 0.0
assert port.get_position('DAX') == 80
assert port.get_position('IBEX') == 5
assert port.get_position('UKX') == 0
assert port.get_position('SPX') == 1000
assert port.get_position('CCMP') == 200.0
assert port.get_mv_local('AS51') == 1425984
assert port.get_mv_local('NKY') == 0.00
assert round(port.get_mv_local('DAX'),4) == 1028717.6
assert port.get_mv_local('IBEX') == 34300.5
assert port.get_mv_local('UKX') == 0.0
assert port.get_mv_local('SPX') == 3408740
assert port.get_mv_local('CCMP') == 2262906
assert round(port.get_mv_base('AS51'),4) == 1032412.416
assert port.get_mv_base('NKY') == 0.00
assert round(port.get_mv_base('DAX'),5) == 1216561.43376
assert port.get_mv_base('IBEX') == 40563.7713
assert round(port.get_mv_base('UKX'),4) == 0.0
assert port.get_mv_base('SPX') == 3408740.0
assert port.get_mv_base('CCMP') == 2262906.0
assert port.get_position('AUD') == 1595595.0
assert port.total_cash_value_local('AUD') == 1595595.0
assert port.get_position('JPY') == 0.0
assert port.total_cash_value_local('JPY') == 0.0
assert round(port.get_position('EUR'),5) == 327659.35910
assert round(port.total_cash_value_local('EUR'),5) == 327659.35910
assert port.get_position('GBP') == 364381.6473876252
assert port.total_cash_value_local('GBP') == 364381.6473876252
assert round(port.get_position('USD'),4) == 4171968.0
assert round(port.total_cash_value_local('USD'),4) == 4171968.0
assert port.total_market_value_local('AUD') == 1425984.0
assert port.total_market_value_local('JPY') == 0.0
assert port.total_market_value_local('EUR') == 1063018.1
assert port.total_market_value_local('GBP') == 0.0
assert port.total_market_value_local('USD') == 5671646.0
assert port.total_cash_value_base == 6189676.653600446
assert port.total_market_value_base == 7961183.621060001
assert port.total_equity_base == 14150860.274660446
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-12 14:30:00', tz=pytz.UTC), 'JPY', 300000000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-12 14:30:00', tz=pytz.UTC), 'NKY', 500, 0.0, 'JPY', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-12 21:00:00', tz=pytz.UTC))
assert port.total_cash_value_base == 6074850.634027748
assert port.total_market_value_base == 8041006.35157856
assert port.total_equity_base == 14115856.985606309
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-13 14:30:00', tz=pytz.UTC), 'AUD', -400000, 0.0, 'USD', False)
fx_order2 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-13 14:30:00', tz=pytz.UTC), 'EUR', 750000, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", fx_order2)
sbwp.update(pd.Timestamp('2020-10-13 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-14 14:30:00', tz=pytz.UTC), 'IBEX', -5, 0.0, 'EUR', False)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-14 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'GBP', 1250000, 0.0, 'JPY', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'DAX', -5, 0.0, 'EUR', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'UKX', 70, 0.0, 'GBP', False)
order3 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-16 14:30:00', tz=pytz.UTC), 'CCMP', 20, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.submit_order("1234", order3)
sbwp.update(pd.Timestamp('2020-10-16 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-19 14:30:00', tz=pytz.UTC), 'AUD', -600000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-19 14:30:00', tz=pytz.UTC), 'NKY', -500, 0.0, 'JPY', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-19 14:30:00', tz=pytz.UTC), 'DAX', -15, 0.0, 'EUR', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-19 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-20 14:30:00', tz=pytz.UTC), 'JPY', -30000000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-20 14:30:00', tz=pytz.UTC), 'SPX', 100, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-20 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-21 14:30:00', tz=pytz.UTC), 'JPY', -20000000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-21 14:30:00', tz=pytz.UTC), 'IBEX', 5, 0.0, 'EUR', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-21 21:00:00', tz=pytz.UTC))
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-22 14:30:00', tz=pytz.UTC), 'DAX', -5, 0.0, 'EUR', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-22 14:30:00', tz=pytz.UTC), 'UKX', 10, 0.0, 'GBP', False)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-22 21:00:00', tz=pytz.UTC))
assert round(port.total_cash_value_base,7) == 5376812.3354881
assert port.total_market_value_base == 8981217.14899
assert port.total_equity_base == 14358029.484478105
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-23 14:30:00', tz=pytz.UTC), 'EUR', 150000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-23 14:30:00', tz=pytz.UTC), 'UKX', 10, 0.0, 'GBP', False)
order2 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-23 14:30:00', tz=pytz.UTC), 'CCMP', -220, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.submit_order("1234", order2)
sbwp.update(pd.Timestamp('2020-10-23 21:00:00', tz=pytz.UTC))
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-26 14:30:00', tz=pytz.UTC), 'GBP', -1000000, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.update(pd.Timestamp('2020-10-26 21:00:00', tz=pytz.UTC))
assert round(port.total_cash_value_base,7) == 7829046.3614988
assert port.total_market_value_base == 6401704.0579699995
assert port.total_equity_base == 14230750.41946882
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-27 14:30:00', tz=pytz.UTC), 'UKX', 5, 0.0, 'GBP', False)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-27 21:00:00', tz=pytz.UTC))
assert round(port.total_cash_value_base,7) == 7792774.8370998
assert port.total_market_value_base == 6403909.93138
assert port.total_equity_base == 14196684.768479826
fx_order1 = get_order_mc('FX_ORDER', pd.Timestamp('2020-10-28 14:30:00', tz=pytz.UTC), 'EUR', -1500000, 0.0, 'USD', False)
order1 = get_order_mc('STOCK_ORDER', pd.Timestamp('2020-10-28 14:30:00', tz=pytz.UTC), 'SPX', -1100, 0.0, 'USD', False)
sbwp.submit_order("1234", fx_order1)
sbwp.submit_order("1234", order1)
sbwp.update(pd.Timestamp('2020-10-28 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.total_cash_value_base == 11591837.370012645
assert port.total_market_value_base == 2606107.291765
assert port.total_equity_base == 14197944.661777645
sbwp.update(pd.Timestamp('2020-10-29 21:00:00', tz=pytz.UTC))
port = sbwp.portfolios["1234"]
assert port.total_cash_value_base == 11588119.450463153
assert port.total_market_value_base == 2589840.11397
assert port.total_equity_base == 14177959.564433154 | 47.034274 | 131 | 0.680998 | 3,784 | 23,329 | 4.000529 | 0.075581 | 0.097767 | 0.085216 | 0.096578 | 0.907848 | 0.87931 | 0.846941 | 0.797728 | 0.781543 | 0.766614 | 0 | 0.159122 | 0.146856 | 23,329 | 496 | 132 | 47.034274 | 0.601467 | 0.027176 | 0 | 0.484932 | 0 | 0 | 0.152273 | 0.005819 | 0 | 0 | 0 | 0 | 0.452055 | 1 | 0.010959 | false | 0 | 0.038356 | 0.00274 | 0.057534 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c526b785b24f6d4b0703a312de21e69398aa2c6d | 33,270 | py | Python | tests/test_logparser.py | lexionai/python-crfsuite | fe281bce12bbcaf954811982cefd3e7813555b7e | [
"MIT"
] | 622 | 2016-12-18T08:19:50.000Z | 2022-02-28T20:58:01.000Z | tests/test_logparser.py | lexionai/python-crfsuite | fe281bce12bbcaf954811982cefd3e7813555b7e | [
"MIT"
] | 102 | 2016-12-17T02:26:44.000Z | 2022-03-23T13:06:52.000Z | tests/test_logparser.py | lexionai/python-crfsuite | fe281bce12bbcaf954811982cefd3e7813555b7e | [
"MIT"
] | 207 | 2016-12-20T23:37:30.000Z | 2022-02-21T06:16:32.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
from pycrfsuite._logparser import TrainLogParser
def _apply_parser(parser, log):
for line in log:
event = parser.feed(line)
if event and event != 'featgen_progress':
print(parser.last_log, end='')
print('============== ' + event)
log1 = [
'Holdout group: 2\n',
'\n',
'Feature generation\n',
'type: CRF1d\n',
'feature.minfreq: 0.000000\n',
'feature.possible_states: 0\n',
'feature.possible_transitions: 1\n',
'0', '.', '.', '.', '.',
'1', '.', '.', '.', '.',
'2', '.', '.', '.', '.',
'3', '.', '.', '.', '.',
'4', '.', '.', '.', '.',
'5', '.', '.', '.', '.',
'6', '.', '.', '.', '.',
'7', '.', '.', '.', '.',
'8', '.', '.', '.', '.',
'9', '.', '.', '.', '.',
'10',
'\n',
'Number of features: 3948\n',
'Seconds required: 0.022\n',
'\n',
'L-BFGS optimization\n',
'c1: 1.000000\n',
'c2: 0.001000\n',
'num_memories: 6\n',
'max_iterations: 5\n',
'epsilon: 0.000010\n',
'stop: 10\n',
'delta: 0.000010\n',
'linesearch: MoreThuente\n',
'linesearch.max_iterations: 20\n',
'\n',
'***** Iteration #1 *****\n',
'Loss: 1450.519004\n',
'Feature norm: 1.000000\n',
'Error norm: 713.784994\n',
'Active features: 1794\n',
'Line search trials: 1\n',
'Line search step: 0.000228\n',
'Seconds required for this iteration: 0.008\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)\n',
' O: (306, 339, 306) (0.9027, 1.0000, 0.9488)\n',
' B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)\n',
' B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)\n',
' I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)\n',
' B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)\n',
' I-MISC: (0, 0, 0) (******, ******, ******)\n',
'Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)\n',
'Item accuracy: 306 / 339 (0.9027)\n',
'Instance accuracy: 3 / 10 (0.3000)\n',
'\n',
'***** Iteration #2 *****\n',
'Loss: 1363.687719\n',
'Feature norm: 1.178396\n',
'Error norm: 370.827506\n',
'Active features: 1540\n',
'Line search trials: 1\n',
'Line search step: 1.000000\n',
'Seconds required for this iteration: 0.004\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)\n',
' O: (306, 339, 306) (0.9027, 1.0000, 0.9488)\n',
' B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)\n',
' B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)\n',
' I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)\n',
' B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)\n',
' I-MISC: (0, 0, 0) (******, ******, ******)\n',
'Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)\n',
'Item accuracy: 306 / 339 (0.9027)\n',
'Instance accuracy: 3 / 10 (0.3000)\n',
'\n',
'***** Iteration #3 *****\n',
'Loss: 1309.171814\n',
'Feature norm: 1.266322\n',
'Error norm: 368.739493\n',
'Active features: 1308\n',
'Line search trials: 1\n',
'Line search step: 1.000000\n',
'Seconds required for this iteration: 0.003\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)\n',
' O: (306, 339, 306) (0.9027, 1.0000, 0.9488)\n',
' B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)\n',
' B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)\n',
' I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)\n',
' B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)\n',
' I-MISC: (0, 0, 0) (******, ******, ******)\n',
'Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)\n',
'Item accuracy: 306 / 339 (0.9027)\n',
'Instance accuracy: 3 / 10 (0.3000)\n',
'\n',
'***** Iteration #4 *****\n',
'Loss: 1019.561634\n',
'Feature norm: 1.929814\n',
'Error norm: 202.976154\n',
'Active features: 1127\n',
'Line search trials: 1\n',
'Line search step: 1.000000\n',
'Seconds required for this iteration: 0.003\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)\n',
' O: (306, 339, 306) (0.9027, 1.0000, 0.9488)\n',
' B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)\n',
' B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)\n',
' I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)\n',
' B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)\n',
' I-MISC: (0, 0, 0) (******, ******, ******)\n',
'Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)\n',
'Item accuracy: 306 / 339 (0.9027)\n',
'Instance accuracy: 3 / 10 (0.3000)\n',
'\n',
'***** Iteration #5 *****\n',
'Loss: 782.637378\n',
'Feature norm: 3.539391\n',
'Error norm: 121.725020\n',
'Active features: 1035\n',
'Line search trials: 1\n',
'Line search step: 1.000000\n',
'Seconds required for this iteration: 0.003\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (2, 5, 6) (0.4000, 0.3333, 0.3636)\n',
' O: (305, 318, 306) (0.9591, 0.9967, 0.9776)\n',
' B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)\n',
' B-PER: (2, 4, 3) (0.5000, 0.6667, 0.5714)\n',
' I-PER: (4, 12, 4) (0.3333, 1.0000, 0.5000)\n',
' B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)\n',
' I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)\n',
' I-MISC: (0, 0, 0) (******, ******, ******)\n',
'Macro-average precision, recall, F1: (0.243606, 0.332970, 0.268070)\n',
'Item accuracy: 313 / 339 (0.9233)\n',
'Instance accuracy: 3 / 10 (0.3000)\n',
'\n',
'L-BFGS terminated with the maximum number of iterations\n',
'Total seconds required for training: 0.022\n',
'\n',
'Storing the model\n',
'Number of active features: 1035 (3948)\n',
'Number of active attributes: 507 (3350)\n',
'Number of active labels: 9 (9)\n',
'Writing labels\n',
'Writing attributes\n',
'Writing feature references for transitions\n',
'Writing feature references for attributes\n',
'Seconds required: 0.003\n',
'\n'
]
log2 = [
'Feature generation\n', # featgen_start
'type: CRF1d\n',
'feature.minfreq: 0.000000\n',
'feature.possible_states: 0\n',
'feature.possible_transitions: 1\n',
'0', '.', '.', '.', '.', # featgen_progress
'1', '.', '.', '.', '.',
'2', '.', '.', '.', '.',
'3', '.', '.', '.', '.',
'4', '.', '.', '.', '.',
'5', '.', '.', '.', '.',
'6', '.', '.', '.', '.',
'7', '.', '.', '.', '.',
'8', '.', '.', '.', '.',
'9', '.', '.', '.', '.',
'10',
'\n',
'Number of features: 4379\n',
'Seconds required: 0.021\n', # featgen_end
'\n',
'Averaged perceptron\n',
'max_iterations: 5\n',
'epsilon: 0.000000\n',
'\n',
'***** Iteration #1 *****\n', # iteration
'Loss: 16.359638\n',
'Feature norm: 112.848688\n',
'Seconds required for this iteration: 0.005\n', # iteration end
'\n',
'***** Iteration #2 *****\n',
'Loss: 12.449970\n',
'Feature norm: 126.174821\n',
'Seconds required for this iteration: 0.004\n',
'\n',
'***** Iteration #3 *****\n',
'Loss: 9.451751\n',
'Feature norm: 145.482678\n',
'Seconds required for this iteration: 0.003\n',
'\n',
'***** Iteration #4 *****\n',
'Loss: 8.652287\n',
'Feature norm: 155.495167\n',
'Seconds required for this iteration: 0.003\n',
'\n',
'***** Iteration #5 *****\n',
'Loss: 7.442703\n',
'Feature norm: 166.818487\n',
'Seconds required for this iteration: 0.002\n',
'\n',
'Total seconds required for training: 0.017\n', # optimization_end
'\n',
'Storing the model\n', # storing_start
'Number of active features: 2265 (4379)\n',
'Number of active attributes: 1299 (3350)\n',
'Number of active labels: 9 (9)\n',
'Writing labels\n',
'Writing attributes\n',
'Writing feature references for transitions\n',
'Writing feature references for attributes\n',
'Seconds required: 0.007\n', # storing_end
'\n' # end
]
log3 = [
'Holdout group: 2\n',
'\n',
'Feature generation\n',
'type: CRF1d\n',
'feature.minfreq: 0.000000\n',
'feature.possible_states: 0\n',
'feature.possible_transitions: 1\n',
'0', '.', '.', '.', '.',
'1', '.', '.', '.', '.',
'2', '.', '.', '.', '.',
'3', '.', '.', '.', '.',
'4', '.', '.', '.', '.',
'5', '.', '.', '.', '.',
'6', '.', '.', '.', '.',
'7', '.', '.', '.', '.',
'8', '.', '.', '.', '.',
'9', '.', '.', '.', '.',
'10', '\n',
'Number of features: 96180\n',
'Seconds required: 1.263\n',
'\n',
'Stochastic Gradient Descent (SGD)\n',
'c2: 1.000000\n',
'max_iterations: 5\n',
'period: 10\n',
'delta: 0.000001\n',
'\n',
'Calibrating the learning rate (eta)\n',
'calibration.eta: 0.100000\n',
'calibration.rate: 2.000000\n',
'calibration.samples: 1000\n',
'calibration.candidates: 10\n',
'calibration.max_trials: 20\n',
'Initial loss: 69781.655352\n',
'Trial #1 (eta = 0.100000): ',
'12808.890280\n',
'Trial #2 (eta = 0.200000): ',
'26716.801091\n',
'Trial #3 (eta = 0.400000): ',
'51219.321368\n',
'Trial #4 (eta = 0.800000): ',
'104398.795416 (worse)\n',
'Trial #5 (eta = 0.050000): ',
'7804.492475\n',
'Trial #6 (eta = 0.025000): ',
'6419.964967\n',
'Trial #7 (eta = 0.012500): ',
'6989.552193\n',
'Trial #8 (eta = 0.006250): ',
'8303.107921\n',
'Trial #9 (eta = 0.003125): ',
'9934.052819\n',
'Trial #10 (eta = 0.001563): ',
'11782.234687\n',
'Trial #11 (eta = 0.000781): ',
'13777.708878\n',
'Trial #12 (eta = 0.000391): ',
'15891.422697\n',
'Trial #13 (eta = 0.000195): ',
'18174.499245\n',
'Trial #14 (eta = 0.000098): ',
'20955.855446\n',
'Best learning rate (eta): 0.025000\n',
'Seconds required: 0.858\n', '\n',
'***** Epoch #1 *****\n',
'Loss: 36862.915596\n',
'Feature L2-norm: 24.717729\n',
'Learning rate (eta): 0.023810\n',
'Total number of feature updates: 8323\n',
'Seconds required for this iteration: 0.462\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (778, 1193, 1084) (0.6521, 0.7177, 0.6834)\n',
' O: (45103, 45519, 45355) (0.9909, 0.9944, 0.9926)\n',
' B-ORG: (1003, 1326, 1400) (0.7564, 0.7164, 0.7359)\n',
' B-PER: (583, 764, 735) (0.7631, 0.7932, 0.7779)\n',
' I-PER: (565, 681, 634) (0.8297, 0.8912, 0.8593)\n',
' B-MISC: (76, 181, 339) (0.4199, 0.2242, 0.2923)\n',
' I-ORG: (735, 933, 1104) (0.7878, 0.6658, 0.7216)\n',
' I-LOC: (191, 455, 325) (0.4198, 0.5877, 0.4897)\n',
' I-MISC: (204, 481, 557) (0.4241, 0.3662, 0.3931)\n',
'Macro-average precision, recall, F1: (0.671525, 0.661871, 0.660646)\n',
'Item accuracy: 49238 / 51533 (0.9555)\n',
'Instance accuracy: 852 / 1517 (0.5616)\n', '\n',
'***** Epoch #2 *****\n',
'Loss: 31176.026308\n',
'Feature L2-norm: 32.274598\n',
'Learning rate (eta): 0.022727\n',
'Total number of feature updates: 16646\n',
'Seconds required for this iteration: 0.466\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (708, 1018, 1084) (0.6955, 0.6531, 0.6736)\n',
' O: (45101, 45611, 45355) (0.9888, 0.9944, 0.9916)\n',
' B-ORG: (1053, 1711, 1400) (0.6154, 0.7521, 0.6770)\n',
' B-PER: (594, 777, 735) (0.7645, 0.8082, 0.7857)\n',
' I-PER: (589, 778, 634) (0.7571, 0.9290, 0.8343)\n',
' B-MISC: (94, 264, 339) (0.3561, 0.2773, 0.3118)\n',
' I-ORG: (384, 468, 1104) (0.8205, 0.3478, 0.4885)\n',
' I-LOC: (166, 285, 325) (0.5825, 0.5108, 0.5443)\n',
' I-MISC: (210, 621, 557) (0.3382, 0.3770, 0.3565)\n',
'Macro-average precision, recall, F1: (0.657608, 0.627752, 0.629257)\n',
'Item accuracy: 48899 / 51533 (0.9489)\n',
'Instance accuracy: 813 / 1517 (0.5359)\n', '\n',
'***** Epoch #3 *****\n',
'Loss: 23705.719839\n',
'Feature L2-norm: 35.255014\n',
'Learning rate (eta): 0.021739\n',
'Total number of feature updates: 24969\n',
'Seconds required for this iteration: 0.472\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (808, 1210, 1084) (0.6678, 0.7454, 0.7044)\n',
' O: (45244, 45771, 45355) (0.9885, 0.9976, 0.9930)\n',
' B-ORG: (1061, 1403, 1400) (0.7562, 0.7579, 0.7570)\n',
' B-PER: (588, 728, 735) (0.8077, 0.8000, 0.8038)\n',
' I-PER: (565, 640, 634) (0.8828, 0.8912, 0.8870)\n',
' B-MISC: (86, 130, 339) (0.6615, 0.2537, 0.3667)\n',
' I-ORG: (857, 1148, 1104) (0.7465, 0.7763, 0.7611)\n',
' I-LOC: (152, 282, 325) (0.5390, 0.4677, 0.5008)\n',
' I-MISC: (170, 221, 557) (0.7692, 0.3052, 0.4370)\n',
'Macro-average precision, recall, F1: (0.757699, 0.666091, 0.690108)\n',
'Item accuracy: 49531 / 51533 (0.9612)\n',
'Instance accuracy: 889 / 1517 (0.5860)\n', '\n',
'***** Epoch #4 *****\n',
'Loss: 21273.137466\n',
'Feature L2-norm: 37.985723\n',
'Learning rate (eta): 0.020833\n',
'Total number of feature updates: 33292\n',
'Seconds required for this iteration: 0.468\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (848, 1276, 1084) (0.6646, 0.7823, 0.7186)\n',
' O: (44212, 44389, 45355) (0.9960, 0.9748, 0.9853)\n',
' B-ORG: (784, 896, 1400) (0.8750, 0.5600, 0.6829)\n',
' B-PER: (582, 686, 735) (0.8484, 0.7918, 0.8191)\n',
' I-PER: (570, 647, 634) (0.8810, 0.8991, 0.8899)\n',
' B-MISC: (166, 619, 339) (0.2682, 0.4897, 0.3466)\n',
' I-ORG: (152, 155, 1104) (0.9806, 0.1377, 0.2415)\n',
' I-LOC: (138, 219, 325) (0.6301, 0.4246, 0.5074)\n',
' I-MISC: (467, 2646, 557) (0.1765, 0.8384, 0.2916)\n',
'Macro-average precision, recall, F1: (0.702269, 0.655374, 0.609212)\n',
'Item accuracy: 47919 / 51533 (0.9299)\n',
'Instance accuracy: 793 / 1517 (0.5227)\n', '\n',
'***** Epoch #5 *****\n',
'Loss: 20806.661564\n',
'Feature L2-norm: 40.673070\n',
'Learning rate (eta): 0.020000\n',
'Total number of feature updates: 41615\n',
'Seconds required for this iteration: 0.460\n',
'Performance by label (#match, #model, #ref) (precision, recall, F1):\n',
' B-LOC: (689, 892, 1084) (0.7724, 0.6356, 0.6974)\n',
' O: (45171, 45556, 45355) (0.9915, 0.9959, 0.9937)\n',
' B-ORG: (1214, 1931, 1400) (0.6287, 0.8671, 0.7289)\n',
' B-PER: (529, 574, 735) (0.9216, 0.7197, 0.8083)\n',
' I-PER: (520, 553, 634) (0.9403, 0.8202, 0.8762)\n',
' B-MISC: (77, 96, 339) (0.8021, 0.2271, 0.3540)\n',
' I-ORG: (1009, 1678, 1104) (0.6013, 0.9139, 0.7254)\n',
' I-LOC: (126, 182, 325) (0.6923, 0.3877, 0.4970)\n',
' I-MISC: (57, 71, 557) (0.8028, 0.1023, 0.1815)\n',
'Macro-average precision, recall, F1: (0.794790, 0.629970, 0.651378)\n',
'Item accuracy: 49392 / 51533 (0.9585)\n',
'Instance accuracy: 885 / 1517 (0.5834)\n', '\n',
'SGD terminated with the maximum number of iterations\n',
'Loss: 20806.661564\n',
'Total seconds required for training: 3.350\n', '\n',
'Storing the model\n',
'Number of active features: 96180 (96180)\n',
'Number of active attributes: 76691 (83593)\n',
'Number of active labels: 9 (9)\n',
'Writing labels\n',
'Writing attributes\n',
'Writing feature references for transitions\n',
'Writing feature references for attributes\n',
'Seconds required: 0.329\n', '\n'
]
log4 = [
'Feature generation\n',
'type: CRF1d\n',
'feature.minfreq: 0.000000\n',
'feature.possible_states: 0\n',
'feature.possible_transitions: 0\n',
'0', '.', '.', '.', '.',
'1', '.', '.', '.', '.',
'2', '.', '.', '.', '.',
'3', '.', '.', '.', '.',
'4', '.', '.', '.', '.',
'5', '.', '.', '.', '.',
'6', '.', '.', '.', '.',
'7', '.', '.', '.', '.',
'8', '.', '.', '.', '.',
'9', '.', '.', '.', '.',
'10', '\n',
'Number of features: 0\n',
'Seconds required: 0.001\n', '\n',
'L-BFGS optimization\n',
'c1: 0.000000\n', 'c2: 1.000000\n',
'num_memories: 6\n',
'max_iterations: 2147483647\n',
'epsilon: 0.000010\n', 'stop: 10\n',
'delta: 0.000010\n',
'linesearch: MoreThuente\n',
'linesearch.max_iterations: 20\n', '\n',
'L-BFGS terminated with error code (-1020)\n',
'Total seconds required for training: 0.000\n', '\n',
'Storing the model\n',
'Number of active features: 0 (0)\n',
'Number of active attributes: 0 (0)\n',
'Number of active labels: 0 (0)\n',
'Writing labels\n',
'Writing attributes\n',
'Writing feature references for transitions\n',
'Writing feature references for attributes\n',
'Seconds required: 0.000\n', '\n'
]
def test_parser_log1():
"""
>>> parser = TrainLogParser()
>>> _apply_parser(parser, log1)
Holdout group: 2
============== start
<BLANKLINE>
Number of features: 3948
Seconds required: 0.022
============== featgen_end
<BLANKLINE>
L-BFGS optimization
c1: 1.000000
c2: 0.001000
num_memories: 6
max_iterations: 5
epsilon: 0.000010
stop: 10
delta: 0.000010
linesearch: MoreThuente
linesearch.max_iterations: 20
<BLANKLINE>
============== prepared
***** Iteration #1 *****
Loss: 1450.519004
Feature norm: 1.000000
Error norm: 713.784994
Active features: 1794
Line search trials: 1
Line search step: 0.000228
Seconds required for this iteration: 0.008
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)
O: (306, 339, 306) (0.9027, 1.0000, 0.9488)
B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)
B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)
I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)
B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)
I-MISC: (0, 0, 0) (******, ******, ******)
Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)
Item accuracy: 306 / 339 (0.9027)
Instance accuracy: 3 / 10 (0.3000)
<BLANKLINE>
============== iteration
***** Iteration #2 *****
Loss: 1363.687719
Feature norm: 1.178396
Error norm: 370.827506
Active features: 1540
Line search trials: 1
Line search step: 1.000000
Seconds required for this iteration: 0.004
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)
O: (306, 339, 306) (0.9027, 1.0000, 0.9488)
B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)
B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)
I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)
B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)
I-MISC: (0, 0, 0) (******, ******, ******)
Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)
Item accuracy: 306 / 339 (0.9027)
Instance accuracy: 3 / 10 (0.3000)
<BLANKLINE>
============== iteration
***** Iteration #3 *****
Loss: 1309.171814
Feature norm: 1.266322
Error norm: 368.739493
Active features: 1308
Line search trials: 1
Line search step: 1.000000
Seconds required for this iteration: 0.003
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)
O: (306, 339, 306) (0.9027, 1.0000, 0.9488)
B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)
B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)
I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)
B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)
I-MISC: (0, 0, 0) (******, ******, ******)
Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)
Item accuracy: 306 / 339 (0.9027)
Instance accuracy: 3 / 10 (0.3000)
<BLANKLINE>
============== iteration
***** Iteration #4 *****
Loss: 1019.561634
Feature norm: 1.929814
Error norm: 202.976154
Active features: 1127
Line search trials: 1
Line search step: 1.000000
Seconds required for this iteration: 0.003
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (0, 0, 6) (0.0000, 0.0000, 0.0000)
O: (306, 339, 306) (0.9027, 1.0000, 0.9488)
B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)
B-PER: (0, 0, 3) (0.0000, 0.0000, 0.0000)
I-PER: (0, 0, 4) (0.0000, 0.0000, 0.0000)
B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)
I-MISC: (0, 0, 0) (******, ******, ******)
Macro-average precision, recall, F1: (0.100295, 0.111111, 0.105426)
Item accuracy: 306 / 339 (0.9027)
Instance accuracy: 3 / 10 (0.3000)
<BLANKLINE>
============== iteration
***** Iteration #5 *****
Loss: 782.637378
Feature norm: 3.539391
Error norm: 121.725020
Active features: 1035
Line search trials: 1
Line search step: 1.000000
Seconds required for this iteration: 0.003
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (2, 5, 6) (0.4000, 0.3333, 0.3636)
O: (305, 318, 306) (0.9591, 0.9967, 0.9776)
B-ORG: (0, 0, 9) (0.0000, 0.0000, 0.0000)
B-PER: (2, 4, 3) (0.5000, 0.6667, 0.5714)
I-PER: (4, 12, 4) (0.3333, 1.0000, 0.5000)
B-MISC: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-ORG: (0, 0, 5) (0.0000, 0.0000, 0.0000)
I-LOC: (0, 0, 1) (0.0000, 0.0000, 0.0000)
I-MISC: (0, 0, 0) (******, ******, ******)
Macro-average precision, recall, F1: (0.243606, 0.332970, 0.268070)
Item accuracy: 313 / 339 (0.9233)
Instance accuracy: 3 / 10 (0.3000)
<BLANKLINE>
============== iteration
L-BFGS terminated with the maximum number of iterations
Total seconds required for training: 0.022
<BLANKLINE>
============== optimization_end
Storing the model
Number of active features: 1035 (3948)
Number of active attributes: 507 (3350)
Number of active labels: 9 (9)
Writing labels
Writing attributes
Writing feature references for transitions
Writing feature references for attributes
Seconds required: 0.003
<BLANKLINE>
============== end
>>> len(parser.iterations)
5
>>> parser.iterations[3]['active_features']
1127
"""
pass
def test_parser_log2():
"""
>>> parser = TrainLogParser()
>>> _apply_parser(parser, log2)
Feature generation
============== start
<BLANKLINE>
Number of features: 4379
Seconds required: 0.021
============== featgen_end
<BLANKLINE>
Averaged perceptron
max_iterations: 5
epsilon: 0.000000
<BLANKLINE>
============== prepared
***** Iteration #1 *****
Loss: 16.359638
Feature norm: 112.848688
Seconds required for this iteration: 0.005
<BLANKLINE>
============== iteration
***** Iteration #2 *****
Loss: 12.449970
Feature norm: 126.174821
Seconds required for this iteration: 0.004
<BLANKLINE>
============== iteration
***** Iteration #3 *****
Loss: 9.451751
Feature norm: 145.482678
Seconds required for this iteration: 0.003
<BLANKLINE>
============== iteration
***** Iteration #4 *****
Loss: 8.652287
Feature norm: 155.495167
Seconds required for this iteration: 0.003
<BLANKLINE>
============== iteration
***** Iteration #5 *****
Loss: 7.442703
Feature norm: 166.818487
Seconds required for this iteration: 0.002
<BLANKLINE>
============== iteration
Total seconds required for training: 0.017
<BLANKLINE>
============== optimization_end
Storing the model
Number of active features: 2265 (4379)
Number of active attributes: 1299 (3350)
Number of active labels: 9 (9)
Writing labels
Writing attributes
Writing feature references for transitions
Writing feature references for attributes
Seconds required: 0.007
<BLANKLINE>
============== end
"""
pass
def test_parser_log3():
"""
>>> parser = TrainLogParser()
>>> _apply_parser(parser, log3)
Holdout group: 2
============== start
<BLANKLINE>
Number of features: 96180
Seconds required: 1.263
============== featgen_end
<BLANKLINE>
Stochastic Gradient Descent (SGD)
c2: 1.000000
max_iterations: 5
period: 10
delta: 0.000001
<BLANKLINE>
Calibrating the learning rate (eta)
calibration.eta: 0.100000
calibration.rate: 2.000000
calibration.samples: 1000
calibration.candidates: 10
calibration.max_trials: 20
Initial loss: 69781.655352
Trial #1 (eta = 0.100000): 12808.890280
Trial #2 (eta = 0.200000): 26716.801091
Trial #3 (eta = 0.400000): 51219.321368
Trial #4 (eta = 0.800000): 104398.795416 (worse)
Trial #5 (eta = 0.050000): 7804.492475
Trial #6 (eta = 0.025000): 6419.964967
Trial #7 (eta = 0.012500): 6989.552193
Trial #8 (eta = 0.006250): 8303.107921
Trial #9 (eta = 0.003125): 9934.052819
Trial #10 (eta = 0.001563): 11782.234687
Trial #11 (eta = 0.000781): 13777.708878
Trial #12 (eta = 0.000391): 15891.422697
Trial #13 (eta = 0.000195): 18174.499245
Trial #14 (eta = 0.000098): 20955.855446
Best learning rate (eta): 0.025000
Seconds required: 0.858
<BLANKLINE>
============== prepared
***** Epoch #1 *****
Loss: 36862.915596
Feature L2-norm: 24.717729
Learning rate (eta): 0.023810
Total number of feature updates: 8323
Seconds required for this iteration: 0.462
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (778, 1193, 1084) (0.6521, 0.7177, 0.6834)
O: (45103, 45519, 45355) (0.9909, 0.9944, 0.9926)
B-ORG: (1003, 1326, 1400) (0.7564, 0.7164, 0.7359)
B-PER: (583, 764, 735) (0.7631, 0.7932, 0.7779)
I-PER: (565, 681, 634) (0.8297, 0.8912, 0.8593)
B-MISC: (76, 181, 339) (0.4199, 0.2242, 0.2923)
I-ORG: (735, 933, 1104) (0.7878, 0.6658, 0.7216)
I-LOC: (191, 455, 325) (0.4198, 0.5877, 0.4897)
I-MISC: (204, 481, 557) (0.4241, 0.3662, 0.3931)
Macro-average precision, recall, F1: (0.671525, 0.661871, 0.660646)
Item accuracy: 49238 / 51533 (0.9555)
Instance accuracy: 852 / 1517 (0.5616)
<BLANKLINE>
============== iteration
***** Epoch #2 *****
Loss: 31176.026308
Feature L2-norm: 32.274598
Learning rate (eta): 0.022727
Total number of feature updates: 16646
Seconds required for this iteration: 0.466
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (708, 1018, 1084) (0.6955, 0.6531, 0.6736)
O: (45101, 45611, 45355) (0.9888, 0.9944, 0.9916)
B-ORG: (1053, 1711, 1400) (0.6154, 0.7521, 0.6770)
B-PER: (594, 777, 735) (0.7645, 0.8082, 0.7857)
I-PER: (589, 778, 634) (0.7571, 0.9290, 0.8343)
B-MISC: (94, 264, 339) (0.3561, 0.2773, 0.3118)
I-ORG: (384, 468, 1104) (0.8205, 0.3478, 0.4885)
I-LOC: (166, 285, 325) (0.5825, 0.5108, 0.5443)
I-MISC: (210, 621, 557) (0.3382, 0.3770, 0.3565)
Macro-average precision, recall, F1: (0.657608, 0.627752, 0.629257)
Item accuracy: 48899 / 51533 (0.9489)
Instance accuracy: 813 / 1517 (0.5359)
<BLANKLINE>
============== iteration
***** Epoch #3 *****
Loss: 23705.719839
Feature L2-norm: 35.255014
Learning rate (eta): 0.021739
Total number of feature updates: 24969
Seconds required for this iteration: 0.472
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (808, 1210, 1084) (0.6678, 0.7454, 0.7044)
O: (45244, 45771, 45355) (0.9885, 0.9976, 0.9930)
B-ORG: (1061, 1403, 1400) (0.7562, 0.7579, 0.7570)
B-PER: (588, 728, 735) (0.8077, 0.8000, 0.8038)
I-PER: (565, 640, 634) (0.8828, 0.8912, 0.8870)
B-MISC: (86, 130, 339) (0.6615, 0.2537, 0.3667)
I-ORG: (857, 1148, 1104) (0.7465, 0.7763, 0.7611)
I-LOC: (152, 282, 325) (0.5390, 0.4677, 0.5008)
I-MISC: (170, 221, 557) (0.7692, 0.3052, 0.4370)
Macro-average precision, recall, F1: (0.757699, 0.666091, 0.690108)
Item accuracy: 49531 / 51533 (0.9612)
Instance accuracy: 889 / 1517 (0.5860)
<BLANKLINE>
============== iteration
***** Epoch #4 *****
Loss: 21273.137466
Feature L2-norm: 37.985723
Learning rate (eta): 0.020833
Total number of feature updates: 33292
Seconds required for this iteration: 0.468
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (848, 1276, 1084) (0.6646, 0.7823, 0.7186)
O: (44212, 44389, 45355) (0.9960, 0.9748, 0.9853)
B-ORG: (784, 896, 1400) (0.8750, 0.5600, 0.6829)
B-PER: (582, 686, 735) (0.8484, 0.7918, 0.8191)
I-PER: (570, 647, 634) (0.8810, 0.8991, 0.8899)
B-MISC: (166, 619, 339) (0.2682, 0.4897, 0.3466)
I-ORG: (152, 155, 1104) (0.9806, 0.1377, 0.2415)
I-LOC: (138, 219, 325) (0.6301, 0.4246, 0.5074)
I-MISC: (467, 2646, 557) (0.1765, 0.8384, 0.2916)
Macro-average precision, recall, F1: (0.702269, 0.655374, 0.609212)
Item accuracy: 47919 / 51533 (0.9299)
Instance accuracy: 793 / 1517 (0.5227)
<BLANKLINE>
============== iteration
***** Epoch #5 *****
Loss: 20806.661564
Feature L2-norm: 40.673070
Learning rate (eta): 0.020000
Total number of feature updates: 41615
Seconds required for this iteration: 0.460
Performance by label (#match, #model, #ref) (precision, recall, F1):
B-LOC: (689, 892, 1084) (0.7724, 0.6356, 0.6974)
O: (45171, 45556, 45355) (0.9915, 0.9959, 0.9937)
B-ORG: (1214, 1931, 1400) (0.6287, 0.8671, 0.7289)
B-PER: (529, 574, 735) (0.9216, 0.7197, 0.8083)
I-PER: (520, 553, 634) (0.9403, 0.8202, 0.8762)
B-MISC: (77, 96, 339) (0.8021, 0.2271, 0.3540)
I-ORG: (1009, 1678, 1104) (0.6013, 0.9139, 0.7254)
I-LOC: (126, 182, 325) (0.6923, 0.3877, 0.4970)
I-MISC: (57, 71, 557) (0.8028, 0.1023, 0.1815)
Macro-average precision, recall, F1: (0.794790, 0.629970, 0.651378)
Item accuracy: 49392 / 51533 (0.9585)
Instance accuracy: 885 / 1517 (0.5834)
<BLANKLINE>
============== iteration
SGD terminated with the maximum number of iterations
Loss: 20806.661564
Total seconds required for training: 3.350
<BLANKLINE>
============== optimization_end
Storing the model
Number of active features: 96180 (96180)
Number of active attributes: 76691 (83593)
Number of active labels: 9 (9)
Writing labels
Writing attributes
Writing feature references for transitions
Writing feature references for attributes
Seconds required: 0.329
<BLANKLINE>
============== end
"""
pass
def test_parser_log4():
"""
>>> parser = TrainLogParser()
>>> _apply_parser(parser, log4)
Feature generation
============== start
<BLANKLINE>
Number of features: 0
Seconds required: 0.001
============== featgen_end
<BLANKLINE>
L-BFGS optimization
c1: 0.000000
c2: 1.000000
num_memories: 6
max_iterations: 2147483647
epsilon: 0.000010
stop: 10
delta: 0.000010
linesearch: MoreThuente
linesearch.max_iterations: 20
<BLANKLINE>
L-BFGS terminated with error code (-1020)
============== prepare_error
Total seconds required for training: 0.000
<BLANKLINE>
============== optimization_end
Storing the model
Number of active features: 0 (0)
Number of active attributes: 0 (0)
Number of active labels: 0 (0)
Writing labels
Writing attributes
Writing feature references for transitions
Writing feature references for attributes
Seconds required: 0.000
<BLANKLINE>
============== end
"""
pass
| 37.508455 | 77 | 0.538173 | 4,922 | 33,270 | 3.62373 | 0.118854 | 0.053824 | 0.043059 | 0.071765 | 0.849238 | 0.792667 | 0.712492 | 0.601312 | 0.585277 | 0.5744 | 0 | 0.275579 | 0.241208 | 33,270 | 886 | 78 | 37.55079 | 0.430937 | 0.415209 | 0 | 0.487751 | 0 | 0.211581 | 0.739471 | 0.017455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011136 | false | 0.008909 | 0.004454 | 0 | 0.01559 | 0.006682 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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